Patient safety is a discipline that emphasizes safety in health care through the prevention, reduction, reporting, and analysis of medical error that often leads to adverse effects. The frequency and magnitude of avoidable adverse events experienced by patients was not well known until the 1990s, when multiple countries reported staggering numbers of patients harmed and killed by medical errors. Recognizing that healthcare errors impact 1 in every 10 patients around the world, the World Health Organization calls patient safety an endemic concern. Indeed, patient safety has emerged as a distinct healthcare discipline supported by an immature yet developing scientific framework. There is a significant transdisciplinary body of theoretical and research literature that informs the science of patient safety. At the same time, efforts are being made to anchor patient safety more firmly in medical education. The resulting patient safety knowledge continually informs improvement efforts such as: applying lessons learned from business and industry, adopting innovative technologies, educating providers and consumers, enhancing error reporting systems, and developing new economic incentives.
- 1 Prevalence of adverse events
- 2 Communication
- 3 Causes of healthcare error
- 3.1 Safety programs in industry
- 3.2 Technology in healthcare
- 3.3 Evidence-based medicine
- 3.4 Quality and safety initiatives in community pharmacy practice
- 3.5 Quality Improvement and Safety Initiatives in Pediatrics 
- 3.6 Health literacy
- 3.7 Pay for performance (P4P)
- 3.8 Public reporting
- 3.9 Studies of patient safety
- 4 Organizations advocating patient safety
- 5 See also
- 6 References
- 7 External links
Prevalence of adverse events
Millennia ago, Hippocrates recognized the potential for injuries that arise from the well-intentioned actions of healers. Greek healers in the 4th century BC drafted the Hippocratic Oath and pledged to "prescribe regimens for the good of my patients according to my ability and my judgment and never do harm to anyone." Since then, the directive primum non nocere (“first do no harm) has become a central tenet for contemporary medicine. However, despite an increasing emphasis on the scientific basis of medical practice in Europe and the United States in the late 19th Century, data on adverse outcomes were hard to come by and the various studies commissioned collected mostly anecdotal events.
In the United States, the public and the medical specialty of anesthesia were shocked in April 1982 by the ABC television program 20/20 entitled The Deep Sleep. Presenting accounts of anesthetic accidents, the producers stated that, every year, 6,000 Americans die or suffer brain damage related to these mishaps. In 1983, the British Royal Society of Medicine and the Harvard Medical School jointly sponsored a symposium on anesthesia deaths and injuries, resulting in an agreement to share statistics and to conduct studies. By 1984 the American Society of Anesthesiologists (ASA) had established the Anesthesia Patient Safety Foundation (APSF). The APSF marked the first use of the term "patient safety" in the name of professional reviewing organization. Although anesthesiologists comprise only about 5% of physicians in the United States, anesthesiology became the leading medical specialty addressing issues of patient safety. Likewise in Australia, the Australian Patient Safety Foundation was founded in 1989 for anesthesia error monitoring. Both organizations were soon expanded as the magnitude of the medical error crisis became known.
To Err is Human
In the United States, the full magnitude and impact of errors in health care was not appreciated until the 1990s, when several reports brought attention to this issue. In 1999, the Institute of Medicine (IOM) of the National Academy of Sciences released a report, To Err is Human: Building a Safer Health System. The IOM called for a broad national effort to include establishment of a Center for Patient Safety, expanded reporting of adverse events, development of safety programs in health care organizations, and attention by regulators, health care purchasers, and professional societies. The majority of media attention, however, focused on the staggering statistics: from 44,000 to 98,000 preventable deaths annually due to medical error in hospitals, 7,000 preventable deaths related to medication errors alone. Within 2 weeks of the report's release, Congress began hearings and President Clinton ordered a government-wide study of the feasibility of implementing the report's recommendations. Initial criticisms of the methodology in the IOM estimates focused on the statistical methods of amplifying low numbers of incidents in the pilot studies to the general population. However, subsequent reports emphasized the striking prevalence and consequences of medical error.
The experience has been similar in other countries.
- Ten years after a groundbreaking Australian study revealed 18,000 annual deaths from medical errors, Professor Bill Runciman, one of the study's authors and president of the Australian Patient Safety Foundation since its inception in 1989, reported himself a victim of a medical dosing error.
- The Department of Health Expert Group in June 2000 estimated that over 850,000 incidents harm National Health Service hospital patients in the United Kingdom each year. On average forty incidents a year contribute to patient deaths in each NHS institution.
- In 2004, the Canadian Adverse Events Study found that adverse events occurred in more than 7% of hospital admissions, and estimated that 9,000 to 24,000 Canadians die annually after an avoidable medical error.
- These and other reports from New Zealand, Denmark and developing countries have led the World Health Organization to estimate that one in ten persons receiving health care will suffer preventable harm.
Effective communication is essential for ensuring patient safety. Communicating starts with the provisioning of available information on any operational site especially in mobile professional services. Communicating continues with the reduction of administrative burden, releasing the operating staff and easing the operational demand by model driven orders, thus enabling adherence to a well executable procedure finalised with a qualified minimum of required feedback.
Effective and ineffective communication
The use of effective communication among patients and healthcare professionals is critical for achieving a patient's optimal health outcome. However, according to the Canadian Patient Safety Institute, ineffective communication has the opposite effect as it can lead to patient harm. Communication with regards to patient safety can be classified into two categories: prevention of adverse events and responding to adverse events. Use of effective communication can aid in the prevention of adverse events, whereas ineffective communication can contribute to these incidences. If ineffective communication contributes to an adverse event, then better and more effective communication skills must be applied in response to achieve optimal outcomes for the patient's safety. There are different modes in which healthcare professionals can work to optimize the safety of patients which include both verbal and nonverbal communication, as well as the effective use of appropriate communication technologies.
Methods of effective verbal and nonverbal communication include treating patients with respect and showing empathy, clearly communicating with patients in a way that best fits their needs, practicing active listening skills, being sensitive with regards to cultural diversity and respecting the privacy and confidentiality rights of the patient. To use appropriate communication technology, healthcare professionals must choose which channel of communication is best suited to benefit the patient. Some channels are more likely to result in communication errors than others, such as communicating through telephone or email (missing nonverbal messages which are an important element of understanding the situation). It is also the responsibility of the provider to know the advantages and limitations of using electronic health records, as they do not convey all information necessary to understanding patient needs. If a health care professional is not practicing these skills, they are not being an effective communicator which may affect patient outcome.
The goal of a healthcare professional is to aid a patient in achieving their optimal health outcome, which entails that the patient's safety is not at risk. Practice of effective communication plays a large role in promoting and protecting patient safety.
Teamwork and communication
During complex situations, communication between health professionals must be at its best. There are several techniques, tools, and strategies used to improve communication. Any team should have a clear purpose and each member should be aware of their role and be involved accordingly. To increase the quality of communication between people involved, regular feedback should be provided. Strategies such as briefings allow the team to be set on their purpose and ensure that members not only share the goal but also the process they will follow to achieve it. Briefings reduce interruptions, prevent delays and build stronger relationships, resulting in a strong patient safety environment.
Debriefing is another useful strategy. Healthcare providers meet to discuss a situation, record what they learned and discuss how it might be better handled. Closed loop communication is another important technique used to ensure that the message that was sent is received and interpreted by the receiver. SBAR is a structured system designed to help team members communicate about the patient in the most convenient form possible. Communication between healthcare professionals not only helps achieve the best results for the patient but also prevents any unseen incidents.
As is the case in other industries, when there is a mistake or error made people look for someone to blame. This may seem natural, but it creates a blame culture where who is more important than why or how. A just culture, also sometimes known as no blame or no fault, seeks to understand the root causes of an incident rather than just who was involved.
When assessing and analyzing an incident, individuals involved are much more likely to be forthcoming with their own mistakes if they know that their job is not at risk. This allows a much more complete and clear picture to be formed of the facts of an event. From there, root cause analysis can occur. There are often multiple causative factors involved in an adverse or near miss event. It is only after all contributing factors have been identified that effective changes can be made that will prevent a similar incident from occurring.
Disclosure of an incident
After an adverse event occurs, each country has its own way of dealing with the incident. In Canada, a quality improvement review is primarily used. A quality improvement review is an evaluation that is completed after an adverse event occurs with the intention to both fix the problem, as well as preventing it from happening again. The individual provinces and territories have laws on whether it is required to disclose the quality improvement review to the patient. Healthcare providers have an obligation to disclose any adverse event to their patients because of ethical and professional guidelines. If more providers participate in the quality improvement review, it can increase interdisciplinary collaboration and can sustain relationships between departments and staff. In the US, clinical peer review is used: uninvolved medical staff review the event and work toward preventing further incidents.
The disclosure of adverse events is important in maintaining trust in the relationship between healthcare provider and patient. It is also important in learning how to avoid these mistakes in the future by conducting quality improvement reviews, or clinical peer review. If the provider accurately handles the event, and disclose it to the patient and their family, he/she can avoid getting punished, which includes lawsuits, fines and suspension.
Causes of healthcare error
- Human Factors
- Variations in healthcare provider training & experience, fatigue, depression and burnout.
- Diverse patients, unfamiliar settings, time pressures.
- Failure to acknowledge the prevalence and seriousness of medical errors.
- Increasing working hours of nurses
- Medical complexity
- Complicated technologies, powerful drugs.
- Intensive care, prolonged hospital stay.
- System failures
- Poor communication, unclear lines of authority of physicians, nurses, and other care providers.
- Complications increase as patient to nurse staffing ratio increases.
- Disconnected reporting systems within a hospital: fragmented systems in which numerous hand-offs of patients results in lack of coordination and errors.
- Drug names that look alike or sound alike.
- The impression that action is being taken by other groups within the institution.
- Reliance on automated systems to prevent error.
- Inadequate systems to share information about errors hamper analysis of contributory causes and improvement strategies.
- Cost-cutting measures by hospitals in response to reimbursement cutbacks.
- Environment and design factors. In emergencies, patient care may be rendered in areas poorly suited for safe monitoring. The American Institute of Architects has identified concerns for the safe design and construction of health care facilities.
- Infrastructure failure. According to the WHO, 50% of medical equipment in developing countries is only partly usable due to lack of skilled operators or parts. As a result, diagnostic procedures or treatments cannot be performed, leading to substandard treatment.
The Joint Commission's Annual Report on Quality and Safety 2007 found that inadequate communication between healthcare providers, or between providers and the patient and family members, was the root cause of over half the serious adverse events in accredited hospitals. Other leading causes included inadequate assessment of the patient's condition, and poor leadership or training.
Common misconceptions about adverse events are:
- "'Bad apples' or incompetent health care providers are a common cause." Many of the errors are normal human slips or lapses, and not the result of poor judgment or recklessness.
- "High risk procedures or medical specialties are responsible for most avoidable adverse events". Although some mistakes, such as in surgery, are easier to notice, errors occur in all levels of care. Even though complex procedures entail more risk, adverse outcomes are not usually due to error, but to the severity of the condition being treated. However, USP has reported that medication errors during the course of a surgical procedure are three times more likely to cause harm to a patient than those occurring in other types of hospital care.
- "If a patient experiences an adverse event during the process of care, an error has occurred". Most medical care entails some level of risk, and there can be complications or side effects, even unforeseen ones, from the underlying condition or from the treatment itself.
Safety programs in industry
- Aviation safety
- In the United States, two organizations contribute to one of the world's lowest aviation accident rates. Mandatory accident investigation is carried out by the National Transportation Safety Board, while the Aviation Safety Reporting System receives voluntary reports to identify deficiencies and provide data for planning improvements. The latter system is confidential and provides reports back to stakeholders without regulatory action. Similarities and contrasts have been noted between the "cultures of safety" in medicine and aviation. Pilots and medical personnel operate in complex environments, interact with technology, and are subject to fatigue, stress, danger, and loss of life and prestige as a consequence of error. Given the enviable record of aviation in accident prevention, a similar medical adverse event system would include both mandatory (for severe incidents) and voluntary non-punitive reporting, teamwork training, feedback on performance and an institutional commitment to data collection and analysis. The Patient Safety Reporting System (PSRS) is a program modeled upon the Aviation Safety Reporting System and developed by the Department of Veterans Affairs (VA) and the National Aeronautics and Space Administration (NASA) to monitor patient safety through voluntary, confidential reports. Required training in crew resource management (CRM), which focused on team dynamics both inside the cockpit and outside was introduced in the early 1980s after the tragic mishap of United Airlines 173. CRM is considered an effective means of improving safety in aviation and is utilized by the DoD, NASA, and almost all commercial airlines. Many of the tenets of this training have been incorporated into medicine under the guise of Team Stepps, which was introduced by the Agency for Healthcare Research and Quality (AHRQ). The AHRQ calls this program "an evidence-based teamwork system to improve communication and teamwork skills among health care professionals."
- Near-miss reporting
- A near miss is an unplanned event that did not result in injury, illness, or damage - but had the potential to do so. Reporting of near misses by observers is an established error reduction technique in aviation, and has been extended to private industry, traffic safety and fire-rescue services with reductions in accidents and injury. AORN, a US-based professional organization of perioperative registered nurses, has put in effect a voluntary near miss reporting system (SafetyNet), covering medication or transfusion reactions, communication or consent issues, wrong patient or procedures, communication breakdown or technology malfunctions. An analysis of incidents allows safety alerts to be issued to AORN members. AlmostME is another commercially offered solution for near-miss reporting in healthcare.
- Limits of the industrial safety model
- Unintended consequences may occur as improvements in safety are undertaken. It may not be possible to attain maximum safety goals in healthcare without adversely affecting patient care in other ways. An example is blood transfusion; in recent years, to reduce the risk of transmissible infection in the blood supply, donors with only a small probability of infection have been excluded. The result has been a critical shortage of blood for other lifesaving purposes, with a broad impact on patient care. Application of high-reliability theory and normal accident theory can help predict the organizational consequences of implementing safety measures.
Technology in healthcare
According to a study by RAND Health, the U.S. healthcare system could save more than $81 billion annually, reduce adverse healthcare events, and improve the quality of care if health information technology (HIT) is widely adopted. The most immediate barrier to widespread adoption of technology is cost despite the patient benefit from better health, and payer benefit from lower costs. However, hospitals pay in both higher costs for implementation and potentially lower revenues (depending on reimbursement scheme) due to reduced patient length of stay. The benefits provided by technological innovations also give rise to serious issues with the introduction of new and previously unseen error types.
Types of healthcare technology
Handwritten reports or notes, manual order entry, non-standard abbreviations and poor legibility lead to substantial errors and injuries, according to the IOM (2000) report. The follow-up IOM report, Crossing the Quality Chasm: A New Health System for the 21st Century, advised rapid adoption of electronic patient records, electronic medication ordering, with computer- and internet-based information systems to support clinical decisions. This section contains only the patient safety related aspects of HIT.
Electronic health record (EHR)
The electronic health record (EHR), previously known as the electronic medical record (EMR), reduces several types of errors, including those related to prescription drugs, to emergency and preventive care, and to tests and procedures. Important features of modern EHR include automated drug-drug/drug-food interaction checks and allergy checks, standard drug dosages and patient education information. Drug Information at the point-of-care and drug dispensing points help in reducing errors. Example: India, MedCLIK. Also, these systems provide recurring alerts to remind clinicians of intervals for preventive care and to track referrals and test results. Clinical guidelines for disease management have a demonstrated benefit when accessible within the electronic record during the process of treating the patient. Advances in health informatics and widespread adoption of interoperable electronic health records promise access to a patient's records at any health care site. Still, there may be a weak link because of physicians' deficiencies in understanding the patient safety features of e.g. government approved software. Errors associated with patient misidentification may be exacerbated by EHR use, but inclusion of a prominently displayed patient photograph in the EHR can reduce errors and near misses.
Portable offline emergency medical record devices have been developed to provide access to health records during widespread or extended infrastructure failure, such as in natural disasters or regional conflicts.
Active RFID platform
These systems' basic security measures are based on sound identifying electronic tags, in order that the patient details provided in different situations are always reliable. These systems offer three differently qualified options:
- Identification upon request of health care personnel, using scanners (similar to readers for passive RFID tags or scanners for barcode labels) to identify patient semi-automatically upon presentation of patient with tag to staff
- Automatic identification upon entry of patient. An automatic identification check is carried out on each person with tags (primarily patients) entering the area to determine the presented patient in contrast to other patient earlier entered into reach of the used reader.
- Automatic identification and range estimation upon approach to most proximate patient, excluding reads from more distant tags of other patients in the same area
Any of these options may be applied whenever and wherever patient details are required in electronic form Such identifying is essential when the information concerned is critical. There are increasing numbers of hospitals that have an RFID system to identify patients, for instance: Hospital La Fe in Valencia(Spain); Wayne Memorial Hospital (US); Royal Alexandria Hospital (UK).
Computerized Provider Order Entry (CPOE)
Prescribing errors are the largest identified source of preventable errors in hospitals (IOM, 2000; 2007). The IOM (2006) estimates that each hospitalized patient, on average, is exposed to one medication error each day. Computerized provider order entry (CPOE), formerly called computerized physician order entry, can reduce medication errors by 80% overall but more importantly decrease harm to patients by 55%. A Leapfrog (2004) survey found that 16% of US clinics, hospitals, and medical practices are expected to utilize CPOE within 2 years.
- Complete Safety Medication System
A standardized bar code system for dispensing drugs might prevent 25% of drug errors. Despite ample evidence to reduce medication errors, compete medication delivery systems (barcoding and Electronic prescribing) have slow adoption by doctors and hospitals in the United States, due to concern with interoperability and compliance with future national standards. Such concerns are not inconsequential; standards for electronic prescribing for Medicare Part D conflict with regulations in many US states.
Specific Patient Safety Software
A standardized, modular technology system that allows a hospital, clinic, or health system record their Incidents that include falls, medication errors, pressure ulcers, near misses, etc. These systems can be configured to specific workflows and the analytics behind it will allow for reporting and dashboards to help learn from things that have gone wrong (and right). Some vendors include Datix, RL Solutions, Verge, Midas, and Quantros.
Technology induced errors are significant and increasingly more evident in care delivery systems. This idiosyncratic and potentially serious problems associated with HIT implementation has recently become a tangible concern for healthcare and information technology professionals. As such, the term technological iatrogenesis describes this new category of adverse events that are an emergent property resulting from technological innovation creating system and microsystem disturbances. Healthcare systems are complex and adaptive, meaning there are many networks and connections working simultaneously to produce certain outcomes. When these systems are under the increased stresses caused by the diffusion of new technology, unfamiliar and new process errors often result. If not recognized, over time these new errors can collectively lead to catastrophic system failures. The term "e-iatrogenesis" can be used to describe the local error manifestation. The sources for these errors include:
- Prescriber and staff inexperience may lead to a false sense of security; that when technology suggests a course of action, errors are avoided.
- Shortcut or default selections can override non-standard medication regimens for elderly or underweight patients, resulting in toxic doses.
- CPOE and automated drug dispensing was identified as a cause of error by 84% of over 500 health care facilities participating in a surveillance system by the United States Pharmacopoeia.
- Irrelevant or frequent warnings can interrupt work flow.
Solutions include ongoing changes in design to cope with unique medical settings, supervising overrides from automatic systems, and training (and re-training) all users.
Evidence-based medicine integrates an individual doctor's exam and diagnostic skills for a specific patient, with the best available evidence from medical research. The doctor's expertise includes both diagnostic skills and consideration of individual patient's rights and preferences in making decisions about his or her care. The clinician uses pertinent clinical research on the accuracy of diagnostic tests and the efficacy and safety of therapy, rehabilitation, and prevention to develop an individual plan of care. The development of evidence-based recommendations for specific medical conditions, termed clinical practice guidelines or "best practices", has accelerated in the past few years. In the United States, over 1,700 guidelines (see example image, right) have been developed as a resource for physicians to apply to specific patient presentations. The National Institute for Health and Clinical Excellence (NICE) in the United Kingdom provides detailed "clinical guidance" for both health care professionals and the public about specific medical conditions. National Guideline Agencies from all continents collaborate in the Guidelines International Network, which entertains the largest guideline library worldwide.
- Evidence-based medicine may reduce adverse events, especially those involving incorrect diagnosis, outdated or risky tests or procedures, or medication overuse.
- Clinical guidelines provide a common framework for improving communication among clinicians, patients and non-medical purchasers of health care.
- Errors related to changing shifts or multiple specialists are reduced by a consistent plan of care.
- Information on the clinical effectiveness of treatments and services can help providers, consumers and purchasers of health care make better use of limited resources.
- As medical advances become available, doctors and nurses can keep up with new tests and treatments as guidelines are improved.
- Managed care plans may attempt limit "unnecessary" services to cut the costs of health care, despite evidence that guidelines are not designed for general screening, rather as decision-making tools when an individual practitioner evaluates a specific patient.
- The medical literature is evolving and often controversial; development of guidelines requires consensus.
- Implementing guidelines and educating the entire health care team within a facility costs time and resources (which may be recovered by future efficiency and error reduction).
- Clinicians may resist evidence-based medicine as a threat to traditional relationships between patients, doctors and other health professionals, since any participant can influence decisions.
- Failing to follow guidelines might increase the risk of liability or disciplinary action by regulators.
Quality and safety initiatives in community pharmacy practice
Community pharmacy practice is making important advances in the quality and safety movement despite the limited number of federal and state regulations that exist and in the absence of national accreditation organizations such as the Joint Commission - a driving force for performance improvement in health care systems. Community pharmacies are using automated drug dispensing devices (robots), computerized drug utilization review tools, and most recently, the ability to receive electronic prescriptions from prescribers to decrease the risk for error and increase the likelihood of delivering high quality of care.
Quality Assurance (QA) in community practice is a relatively new concept. As of 2006[update], only 16 states have some form of legislation that regulates QA in community pharmacy practice. While most state QA legislation focuses on error reduction, North Carolina has recently approved legislation that requires the pharmacy QA program to include error reduction strategies and assessments of the quality of their pharmaceutical care outcomes and pharmacy services.
Quality improvement and patient safety is a major concern in the pediatric world of health care. This next section will focus on quality improvement and patient safety initiatives in inpatient settings.
Over the last several years, pediatric groups have partnered to improve general understanding, reporting, process improvement methodologies, and quality of pediatric inpatient care. These collaborations have created a robust program of projects, benchmarking efforts, and research. Much of the research and focus on adverse events has been on medication errors–the most frequently reported adverse event for both adult and pediatric patients. It is also of interest to note that medication errors are also the most preventable type of harm that can occur within the pediatric population. It has been reported that when pediatric medication errors occur, these patients have a higher rate of death associated with the error than adult patients. A more recent review of potential pediatric safety issues conducted by Miller, Elixhauser, and Zhan found that hospitalized children who experienced a patient safety incident, compared with those who did not, had
- 1) Length of stay 2- to 6-fold longer
- 2) Hospital mortality 2- to 18-fold greater
- 3) Hospital charges 2- to 20-fold higher
In order to reduce these errors the attention on safety needs to revolve around designing safe systems and processes. Slonim and Pollack point out that safety is critical to reduce medical errors and adverse events. These problems can range from diagnostic and treatment errors to hospital-acquired infections, procedural complications, and failure to prevent problems such as pressure ulcers. In addition to addressing quality and safety issues found in adult patients there are a few characteristics that are unique to the pediatric population.
- Development: As children mature both cognitively and physically, their needs as consumers of health care goods and services change. Therefore, planning a unified approach to pediatric safety and quality is affected by the fluid nature of childhood development.
- Dependency: Hospitalized children, especially those who are very young and/or nonverbal, are dependent on caregivers, parents, or other surrogates to convey key information associated with patient encounters. Even when children can accurately express their needs, they are unlikely to receive the same acknowledgment accorded adult patients. In addition, because children are dependent on their caregivers, their care must be approved by parents or surrogates during all encounters.
- Different epidemiology: Most hospitalized children require acute episodic care, not care for chronic conditions as with adult patients. Planning safety and quality initiatives within a framework of "wellness, interrupted by acute conditions or exacerbations," presents distinct challenges and requires a new way of thinking.
- Demographics: Children are more likely than other groups to live in poverty and experience racial and ethnic disparities in health care. Children are more dependent on public insurance, such as State Children’s Health Insurance Program (SCHIP) and Medicaid.
One of the main challenges faced by pediatric safety and quality efforts is that most of the work on patient safety to date has focused on adult patients. In addition, there is no standard nomenclature for pediatric patient safety that is widely used. However, a standard framework for classifying pediatric adverse events that offers flexibility has been introduced. Standardization provides consistency between interdisciplinary teams and can facilitate multisite studies. If these large-scale studies are conducted, the findings could generate large-scale intervention studies conducted with a faster life cycle.
Leaders in Pediatric Safety and Quality
The Agency for Healthcare Research and Quality (AHRQ) is the Federal authority for patient safety and quality of care and has been a leader in pediatric quality and safety. AHRQ has developed Pediatric Quality Indicators (PedQIs) with the goal to highlight areas of quality concern and to target areas for further analysis. Eighteen pediatric quality indicators are included in the AHRQ quality measure modules; based on expert input, risk adjustment, and other considerations. Thirteen inpatient indicators are recommended for use at the hospital level, and five are designated area indicators. Inpatient indicators are treatments or conditions with the greatest potential of an adverse event for hospitalized children.
|Pediatric Quality & Provider-Level Indicators||Area-Level Indicators|
|Accidental puncture or laceration||Asthma admission rate|
|Decubitus ulcer||Diabetes short-term complication rate|
|Foreign body left during procedure||Gastroenteritis admission rate|
|Iatrogenic pneumothorax in neonates at risk||Perforated appendix admission rate|
|Iatrogenic pneumothorax in nonneonates||Urinary tract admission rate|
|Pediatric heart surgery mortality|
|Pediatric heart surgery volume|
|Postoperative hemorrhage or hematoma|
|Postoperative respiratory failure|
|Postoperative wound dehiscence|
|Selected infections due to medical care|
Possible additions to the dataset will address the patient’s condition on admission and increase the understanding of how laboratory and pharmacy utilization impact patient outcomes. The goal of AHRQ is to refine the area-level indicators to improve outcomes for children receiving outpatient care and reduce the incidence of hospitalization for those defined conditions.
Collaborations for Pediatric Safety and Quality
Numerous groups are engaged in improving pediatric care, quality and safety. Each of these groups has a unique mission and membership. The following table details these groups’ missions and websites.
|The National Association of Children’s Hospitals & Related Institutions||Clinical care, research, training, and advocacy||www.childrenshospitals.net|
|Child Health Corporation of America||Business strategies, safety & quality||www.chca.com|
|National Initiative for Children’s Healthcare Quality||Education and research||www.nichq.org|
|Neonatal Intensive Care/Quality & Vermont Oxford Network||Quality improvement, safety & cost effectiveness for newborns & families||www.nicq.org|
|Children’s Oncology Group||Cures for childhood cancers, family support||www.childrensoncologygroup.org|
|Initiative for Pediatric Palliative Care||Education, research & quality improvement||www.ippcweb.org|
|End-of-Life Nursing Education Consortium||End-of-life education & support||www.aacn.nche.edu/elnec|
Nurse Staffing and Pediatric Outcomes
While the number of nurses providing patient care is recognized as an inadequate measure of nursing care quality, there is hard evidence that nurse staffing is directly related to patient outcomes. Studies by Aiken and Needleman have demonstrated that patient death, nosocomial infections, cardiac arrest, and pressure ulcers are linked to inadequate nurse-to-patient ratios. The presence or absence of registered nurses (RNs) impacts the outcome for pediatric patients requiring pain management and/or peripheral administration of intravenous fluids and/or medications. These two indicators of pediatric nursing care quality are sensitive measures of nursing care. Professional nurses play a key role in successful pain management, especially among pediatric patients unable to verbally describe pain. Astute assessment skills are required to intervene successfully and relieve discomfort.33 Maintenance of a patient’s intravenous access is a clear nursing responsibility. Pediatric patients are at increased risk for intravenous infiltration and for significant complications of infiltration, should it occur.
The characteristics of effective indicators of pediatric nursing care quality include the following:
- Scalable: The indicators are applicable to pediatric patients across a broad range of units and hospitals, in both intensive care and general care settings.
- Feasible: Data collection does not pose undue burden on staff of participating units as the data is available from existing sources, such as the medical record or a quality improvement database, and can be collected in real time.
- Valid and reliable: Indicator measurement within and across participating sites is accurate and consistent over time.
Pediatric care is complex due to developmental and dependency issues associated with children. How these factors impact the specific processes of care is an area of science in which little is known. Throughout health care providing safe and high quality patient care continues to provide significant challenges. Efforts to improve the safety and quality of care are resource intensive and take continued commitment not only by those who deliver care, but also by agencies and foundations that fund this work. Advocates for children’s health care must be at the table when key policy and regulatory issues are discussed. Only then will the voice of our most vulnerable groups of health care consumers be heard.
Working Hours of Nurses and Patient Safety
A recent increase in work hours and overtime shifts of nurses has been used to compensate for the decrease of registered nurses (RNs). Logbooks completed by nearly 400 RNs have revealed that about "40 percent of the 5,317 work shifts they logged exceeded twelve hours." Errors by hospital staff nurses are more likely to occur when work shifts extend beyond 12 hours, or they work over 40 hours in one week. Studies have shown that overtime shifts have harmful effects on the quality of care provided to patients, but some researchers "who evaluated the safety of 12-hour shifts did not find increases in medication errors." The errors which these researchers found were "lapses of attention to detail, errors of omission, compromised problem solving, reduced motivation" due to fatigue as well as "errors in grammatical reasoning and chart reviewing." Overworked nurses are a serious safety concern to their patients wellbeing. Working back to back shifts, or night shifts, are a common cause of fatigue in hospital staff nurses. "Less sleep, or fatigue, may lead to increased likelihood of making an error, or even the decreased likelihood of catching someone else's error." Limiting working hours and shift rotations could "reduce the adverse effects of fatigue" and increase the quality of care of patients.
Health literacy is a common and serious safety concern. A study of 2,600 patients at two hospitals determined that between 26-60% of patients could not understand medication directions, a standard informed consent, or basic health care materials. This mismatch between a clinician's level of communication and a patient's ability to understand can lead to medication errors and adverse outcomes.
The Institute of Medicine (2004) report found low health literacy levels negatively affects healthcare outcomes. In particular, these patients have a higher risk of hospitalization and longer hospital stays, are less likely to comply with treatment, are more likely to make errors with medication, and are more ill when they seek medical care.
Pay for performance (P4P)
This section may stray from the topic of the article. (May 2012)
Pay for performance systems link compensation to measures of work quality or goals. As of 2005[update], 75 percent of all U.S. companies connect at least part of an employee's pay to measures of performance, and in healthcare, over 100 private and federal pilot programs are underway. Current methods of healthcare payment may actually reward less-safe care, since some insurance companies will not pay for new practices to reduce errors, while physicians and hospitals can bill for additional services that are needed when patients are injured by mistakes. However, early studies showed little gain in quality for the money spent, as well as evidence suggesting unintended consequences, like the avoidance of high-risk patients, when payment was linked to outcome improvements. The 2006 Institute of Medicine report Preventing Medication Errors recommended "incentives...so that profitability of hospitals, clinics, pharmacies, insurance companies, and manufacturers (are) aligned with patient safety goals;...(to) strengthen the business case for quality and safety."
There is widespread international interest in health care pay-for-performance programs in a range of countries, including the United Kingdom, United States, Australia, Canada, Germany, the Netherlands, and New Zealand.
In the United Kingdom, the National Health Service (NHS) began an ambitious pay for performance initiative in 2004, known as the Quality and Outcomes Framework (QOF). General practitioners agreed to increases in existing income according to performance with respect to 146 quality indicators covering clinical care for 10 chronic diseases, organization of care, and patient experience. Unlike proposed quality incentive programs in the United States, funding for primary care was increased 20% over previous levels. This allowed practices to invest in extra staff and technology; 90% of general practitioners use the NHS Electronic Prescription Service, and up to 50% use electronic health records for the majority of clinical care. Early analysis showed that substantially increasing physicians' pay based on their success in meeting quality performance measures is successful. The 8,000 family practitioners included in the study earned an average of $40,000 more by collecting nearly 97% of the points available.
A component of this program, known as exception reporting, allows physicians to use criteria to exclude individual patients from the quality calculations that determine physician reimbursement. There was initial concern that exception reporting would allow inappropriate exclusion of patients in whom targets were missed ("gaming"). However, a 2008 study has shown little evidence of widespread gaming.
In the United States, Medicare has various pay-for-performance ("P4P") initiatives in offices, clinics and hospitals, seeking to improving quality and avoid unnecessary health care costs. The Centers for Medicare and Medicaid Services (CMS) has several demonstration projects underway offering compensation for improvements:
- Payments for better care coordination between home, hospital and offices for patients with chronic illnesses. In April 2005, CMS launched its first value-based purchasing pilot or "demonstration" project- the three-year Medicare Physician Group Practice (PGP) Demonstration. The project involves ten large, multi-specialty physician practices caring for more than 200,000 Medicare fee-for-service beneficiaries. Participating practices will phase in quality standards for preventive care and the management of common chronic illnesses such as diabetes. Practices meeting these standards will be eligible for rewards from savings due to resulting improvements in patient management. The First Evaluation Report to Congress in 2006 showed that the model rewarded high quality, efficient provision of health care, but the lack of up-front payment for the investment in new systems of case management "have made for an uncertain future with respect for any payments under the demonstration."
- A set of 10 hospital quality measures which, if reported to CMS, will increase the payments that hospitals receive for each discharge. By the third year of the demonstration, those hospitals that do not meet a threshold on quality will be subject to reductions in payment. Preliminary data from the second year of the study indicates that pay for performance was associated with a roughly 2.5% to 4.0% improvement in compliance with quality measures, compared with the control hospitals. Dr. Arnold Epstein of the Harvard School of Public Health commented in an accompanying editorial that pay-for-performance "is fundamentally a social experiment likely to have only modest incremental value." Unintended consequences of some publicly reported hospital quality measures have adversely affected patient care. The requirement to give the first antibiotic dose in the emergency department within 4 hours, if the patient has pneumonia, has caused an increase in pneumonia misdiagnosis.
- Rewards to physicians for improving health outcomes by the use of health information technology in the care of chronically ill Medicare patients.
- Disincentives: The Tax Relief & Health Care Act of 2006 required the HHS Inspector General to study ways that Medicare payments to hospitals could be recouped for "never events", as defined by the National Quality Forum, including hospital infections. In August 2007, CMS announced that it will stop payments to hospitals for several negative consequences of care that result in injury, illness or death. This rule, effective October 2008, would reduce hospital payments for eight serious types of preventable incidents: objects left in a patient during surgery, blood transfusion reaction, air embolism, falls, mediastinitis, urinary tract infections from catheters, pressure ulcer, and sepsis from catheters. Reporting of "never events" and creation of performance benchmarks for hospitals are also mandated. Other private health payers are considering similar actions; in 2005, HealthPartners, a Minnesota health insurer, chose not to cover 27 types of "never events". The Leapfrog Group has announced that they will work with hospitals, health plans and consumer groups to advocate reducing payment for "never events", and will recognize hospitals that agree to certain steps when a serious avoidable adverse event occurs in the facility, including notifying the patient and patient safety organizations, and waiving costs. Physician groups involved in the management of complications, such as the Infectious Diseases Society of America, have voiced objections to these proposals, observing that "some patients develop infections despite application of all evidence-based practices known to avoid infection", and that a punitive response may discourage further study and slow the dramatic improvements that have already been made.
Pay for performance programs often target patients with serious and complex illnesses; such patients commonly interact with multiple healthcare providers and facilities. However, pilot programs now underway focus on simple indicators such as improvement in lab values or use of emergency services, avoiding areas of complexity such as multiple complications or several treating specialists. A 2007 study analyzing Medicare beneficiaries' healthcare visits showed that a median of two primary care physicians and five specialists provide care for a single patient. The authors doubt that pay-for-performance systems can accurately attribute responsibility for the outcome of care for such patients. The American College of Physicians Ethics has stated concerns about using a limited set of clinical practice parameters to assess quality, "especially if payment for good performance is grafted onto the current payment system, which does not reward robust comprehensive care...The elderly patient with multiple chronic conditions is especially vulnerable to this unwanted effect of powerful incentives." Present pay-for-performance systems measure good performance based on specified clinical measurements, such as glycohemoglobin for diabetic patients. Healthcare providers who are monitored by such limited criteria have a powerful incentive to deselect (dismiss or refuse to accept) patients whose outcome measures fall below the quality standard and therefore worsen the provider's assessment. Patients with low health literacy, inadequate financial resources to afford expensive medications or treatments, and ethnic groups traditionally subject to healthcare inequities may also be deselected by providers seeking improved performance measures.
- The Danish Act on Patient Safety passed Parliament in June 2003, and on January 1, 2004, Denmark became the first country to introduce nationwide mandatory reporting. The Act obligates frontline personnel to report adverse events to a national reporting system. Hospital owners are obligated to act on the reports and the National Board of Health is obligated to communicate the learning nationally. The reporting system is intended purely for learning and frontline personnel cannot experience sanctions for reporting. This is stated in Section 6 of the Danish Act on Patient Safety (as of January 1, 2007: Section 201 of the Danish Health Act): "A frontline person who reports an adverse event cannot as a result of that report be subjected to investigation or disciplinary action from the employer, the Board of Health or the Court of Justice." The reporting system and the Danish Patient Safety Database is described in further detail in a National Board of Health publication.
- United Kingdom
- The National Patient Safety Agency encourages voluntary reporting of health care errors, but has several specific instances, known as "Confidential Enquiries", for which investigation is routinely initiated: maternal or infant deaths, childhood deaths to age 16, deaths in persons with mental illness, and perioperative and unexpected medical deaths. Medical records and questionnaires are requested from the involved clinician, and participation has been high, since individual details are confidential.
- United States
- The 1999 Institute of Medicine (IOM) report recommended "a nationwide mandatory reporting system … that provides for … collection of standardized information by state governments about adverse events that result in death or serious harm." Professional organizations, such as the Anesthesia Patient Safety Foundation, responded negatively: "Mandatory reporting systems in general create incentives for individuals and institutions to play a numbers game. If such reporting becomes linked to punitive action or inappropriate public disclosure, there is a high risk of driving reporting "underground", and of reinforcing the cultures of silence and blame that many believe are at the heart of the problems of medical error…"
- Although 23 states established mandatory reporting systems for serious patient injuries or death by 2005, the national database envisioned in the IOM report was delayed by the controversy over mandatory versus voluntary reporting. Finally in 2005, the US Congress passed the long-debated Patient Safety and Quality Improvement Act, establishing a federal reporting database. Hospitals reports of serious patient harm are voluntary, collected by patient safety organizations under contract to analyze errors and recommend improvements. The federal government serves to coordinate data collection and maintain the national database. Reports remain confidential, and cannot be used in liability cases. Consumer groups have objected to the lack of transparency, claiming it denies the public information on the safety of specific hospitals.
Individual patient disclosures
For a health care institution, disclosing an unanticipated event should be made as soon as possible. Some health care organizations may have a policy regarding the disclosure of unanticipated events. The amount of information presented to those affected is dependent on the family's readiness and the organization's culture. The employee disclosing the event to family requires support from risk management, patient safety officers and senior leadership. Disclosures are objectively documented in the medical record.
In public surveys, a significant majority of those surveyed believe that health care providers should be required to report all serious medical errors publicly. However, reviews of the medical literature show little effect of publicly reported performance data on patient safety or the quality of care. Public reporting on the quality of individual providers or hospitals does not seem to affect selection of hospitals and individual providers. Some studies have shown that reporting performance data stimulates quality improvement activity in hospitals.
Ethical standards of the Joint Commission on Accreditation of Healthcare Organizations (JCAHO), the American Medical Association (AMA) Council on Ethical and Judicial Affairs, and the American College of Physicians Ethics Manual require disclosure of the most serious adverse events. However, many doctors and hospitals do not report errors under the current system because of concerns about malpractice lawsuits; this prevents collection of information needed to find and correct the conditions that lead to mistakes. As of 2008[update], 35 US states have statutes allowing doctors and health care providers to apologize and offer expressions of regret without their words being used against them in court, and 7 states have also passed laws mandating written disclosure of adverse events and bad outcomes to patients and families. In September 2005, US Senators Clinton and Obama introduced the National Medical Error Disclosure and Compensation (MEDiC) Bill, providing physicians protection from liability and a safe environment for disclosure, as part of a program to notify and compensate patients harmed by medical errors. It is now the policy of several academic medical centers, including Johns Hopkins, University of Illinois and Stanford, to promptly disclose medical errors, offering apologies and compensation. This national initiative, hoping to restore integrity to dealings with patients, make it easier to learn from mistakes and avoid angry lawsuits, was modeled after a University of Michigan Hospital System program that has reduced the number of lawsuits against the hospital by 75% and has decreased the average litigation cost. The Veterans Health Administration requires the disclosure of all adverse events to patients, even those that are not obvious. However, as of 2008[update] these initiatives have only included hospitals that are self-insured and that employ their staffs, thus limiting the number of parties involved. Medical errors are the third leading cause of death in the US, after heart disease and cancer, according to research by Johns Hopkins University. Their study published in May 2016 concludes that more than 250,000 people die every year due to medical mix-ups. Other countries report similar results.
In April 2008, consumer, employer and labor organizations announced an agreement with major physician organizations and health insurers on principles to measure and report doctors' performance on quality and cost.
In the United Kingdom, whistleblowing is well recognised and is government sanctioned, as a way to protect patients by encouraging employees to call attention to deficient services. Health authorities are encouraged to put local policies in place to protect whistleblowers.
Studies of patient safety
Numerous organizations, government branches, and private companies conduct research studies to investigate the overall health of patient safety in America and across the globe. Despite the shocking and widely publicized statistics on preventable deaths due to medical errors in America's hospitals, the 2006 National Healthcare Quality Report assembled by the Agency for Healthcare Research and Quality (AHRQ) had the following sobering assessment:
- Most measures of Quality are improving, but the pace of change remains modest.
- Quality improvement varies by setting and phase of care.
- The rate of improvement accelerated for some measures while a few continued to show deterioration.
- Variation in health care quality remains high.
A 2011 study of more than 1,000 patients with advanced colon cancer found that one in eight was treated with at least one drug regimen with specific recommendations against their use in the National Comprehensive Cancer Network guidelines. The study focused on three chemotherapy regimens that were not supported by evidence from prior clinical studies or clinical practice guidelines. One treatment was rated "insufficient data to support," one had been "shown to be ineffective," and one was supported by "no data, nor is there a compelling rationale." Many of the patients received multiple cycles of non-beneficial chemotherapy and some received two or more unproven treatments. Potential side effects for the treatments include hypertension, heightened risk of bleeding and bowel perforation.
Organizations advocating patient safety
Several authors of the 1999 Institute of Medicine report revisited the status of their recommendations and the state of patient safety, five years after "To Err is Human". Discovering that patient safety had become a frequent topic for journalists, health care experts, and the public, it was harder to see overall improvements on a national level. What was noteworthy was the impact on attitudes and organizations. Few health care professionals now doubted that preventable medical injuries were a serious problem. The central concept of the report—that bad systems and not bad people lead to most errors—became established in patient safety efforts. A broad array of organizations now advance the cause of patient safety. For instance, in 2010 the principal European anaesthesiology organisations launched The Helsinki Declaration for Patient Safety in Anaesthesiology, which incorporates many of the principles described above.
- Fadahunsi, Kayode Philip; Akinlua, James Tosin; O’Connor, Siobhan; Wark, Petra A; Gallagher, Joseph; Carroll, Christopher; Majeed, Azeem; O’Donoghue, John (March 2019). "Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth". BMJ Open. 9 (3): e024722. doi:10.1136/bmjopen-2018-024722. ISSN 2044-6055. PMID 30842114.
- "World Alliance for Patient Safety". Organization Web Site. World Health Organization. Archived from the original on 2008-10-03. Retrieved 2008-09-27.
- Patrick A. Palmieri; et al. (2008). The anatomy and physiology of error in averse healthcare events. Advances in Health Care Management. 7. pp. 33–68. doi:10.1016/S1474-8231(08)07003-1. ISBN 978-1-84663-954-8.
- Schmitz, Katharina; Lenssen, Rebekka; Rosentreter, Michael; Gross, Dominik; Eisert, Albrecht (2015). "Wide cleft between theory and practice: medical students' perception of their education in patient and medication safety". Die Pharmazie - An International Journal of Pharmaceutical Sciences. 70 (5): 351–354. doi:10.1691/ph.2015.4836.
- National Institute of Health, History of Medicine: Greek Medicine Archived 2018-03-07 at the Wayback Machine
- The Anesthesia Patient Safety Foundation, A Brief History Archived 2006-01-13 at the Wayback Machine
- Janice Tomlin (producer): The Deep Sleep: 6,000 will die or suffer brain damage, WLS-TV Chicago, 20/20. April 22, 1982
- Anesthesia Patient Safety Foundation: The establishment of the APSF Archived 2006-04-16 at the Wayback Machine by Ellison C. Pierce, Jr., M.D.
- Anesthesia Patient Safety Foundation: Comments From the Anesthesia Patient Safety Foundation Archived 2012-03-27 at the Wayback Machine
- David M Gaba (2000). "Anesthesiology as a model for patient safety in health care". Medical Care. 320 (7237): 785–788. doi:10.1136/bmj.320.7237.785. PMC 1117775. PMID 10720368. Archived from the original on 2006-08-23. Retrieved 2006-06-24.
- Thomas, Eric J. MD, MPH; et al. (2000). "Incidence and Types of Adverse Events and Negligent Care in Utah and Colorado (Abstract)". Medical Care. 38 (3): 261–271. doi:10.1097/00005650-200003000-00003. PMID 10718351. Retrieved 2006-06-23.CS1 maint: Multiple names: authors list (link)
- Brennan TA, Leape LL, Laird NM, et al. (1991). "Incidence of adverse events and negligence in hospitalized patients. Results of the Harvard Medical Practice Study I". N. Engl. J. Med. 324 (6): 370–6. doi:10.1056/NEJM199102073240604. PMC 1743811. PMID 1987460.
- Institute of Medicine (US) Committee on Quality of Health Care in America; Kohn, L. T.; Corrigan, J. M.; Donaldson, M. S. (2000). Kohn, Linda T.; Corrigan, Janet M.; Donaldson, Molla S. (eds.). To Err is Human—Building a Safer Health System. Washington, D. C.: National Academies Press. p. 312. doi:10.17226/9728. ISBN 978-0-309-06837-6. PMID 25077248. Archived from the original on 2010-07-27. Retrieved 2010-07-08.
- Charatan, Fred (2000). "Clinton acts to reduce medical mistakes". BMJ. 320 (7235): 597. doi:10.1136/bmj.320.7235.597. PMC 1117638. PMID 10698861. Archived from the original on 2006-02-26. Retrieved 2006-06-23.
- Harold C. Sox, Jr; Steven Woloshin (2000). "How Many Deaths Are Due to Medical Error? Getting the Number Right". Effective Clinical Practice. Archived from the original on 2006-02-06. Retrieved 2006-06-22.
- Commonwealth Fund International Survey: Taking the Pulse of Health Care Systems: Experiences of Patients with Health Problems in Six Countries Archived 2006-06-21 at the Wayback Machine (2005)
- Wilson RM, Runciman WB, Gibberd RW, Harrison BT, Newby L, Hamilton JD (November 1995). "The Quality in Australian Health Care Study". Med J Aust. 163 (9): 458–71. doi:10.5694/j.1326-5377.1995.tb124691.x. PMID 7476634.
- Australian Broadcasting Corporation, The World Today: Concerns over medication errors in Australian hospitals Archived 2005-05-10 at the Wayback Machine
- Department of Health Expert Group (2000). "An organisation with a memory". Department of Health, United Kingdom. Archived from the original on 2006-06-29. Retrieved 2006-07-01.
- G. Ross Baker; Peter G. Norton; et al. (2004). "The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada". Canadian Medical Association Journal. 170 (11): 1678–1685. doi:10.1503/cmaj.1040498. PMC 408508. PMID 15159366. Archived from the original on 2006-07-12. Retrieved 2006-07-04.
- "Adverse Events in New Zealand Public Hospitals: Principal Findings from a National Survey". New Zealand Ministry of Health. December 2001. Archived from the original on 2006-08-13. Retrieved 2006-07-15.
- Schiøler T, Lipczak H, Pedersen BL, et al. (September 2001). "[Incidence of adverse events in hospitals. A retrospective study of medical records]". Ugeskrift for Læger (in Danish). 163 (39): 5370–8. PMID 11590953.
- World Alliance for Patient Safety: "Patient safety_a global priority" (PDF). Archived from the original (PDF) on 2005-11-05. Retrieved 2006-07-15. (56.6 KiB) Editorial, December 2004 (retrieved on July 15, 2006)
- World Health Organization: 10 facts on patient safety Accessed 2008-05-19
- Frank JR, Brien S (August 2009). The Safety Competencies - Enhancing Patient Safety Across the Health Professions (PDF) (first ed.). Canadian Patient Safety Institute. ISBN 978-1-926541-15-0. Archived from the original (PDF) on 2013-06-14. Retrieved 2014-11-04.
- David Marx. "Patient Safety and the "Just Culture:" A Primer For Health Care Executives" (PDF). University of California Los Angeles. Archived from the original (PDF) on 2016-03-03. Retrieved 30 October 2014.
- "Canadian Disclosure Guidelines BEING OPEN WITH PATIENTS AND FAMILIES" (PDF). Patient Safety Institute. p. 16. Archived from the original (PDF) on 2015-01-22. Retrieved 30 October 2014.
- Wolf, Zane Robinson; Hughes, Ronda G. Patient Safety and Quality: An Evidence-Based Handbook for Nurses. Chapter 35: Agency for Healthcare Research and Quality.
- Kunadharaju, Kumar; Smith, Todd; DeJoy, David (May 2011). "Line-of-duty deaths among U.S. firefighters: An analysis of fatality investigations". Accident Analysis & Prevention. 43 (3): 1171–1180. doi:10.1016/j.aap.2010.12.030. PMID 21376916. Archived from the original on 2015-09-24. Retrieved 6 November 2014.
- "Archived copy" (PDF). Archived (PDF) from the original on 2014-08-23. Retrieved 2014-11-04.CS1 maint: Archived copy as title (link)
- "Archived copy" (PDF). Archived (PDF) from the original on 2014-11-04. Retrieved 2014-11-04.CS1 maint: Archived copy as title (link)
- "Archived copy" (PDF). Archived (PDF) from the original on 2014-11-04. Retrieved 2014-11-04.CS1 maint: Archived copy as title (link)
- Paul A, Gluck, MD: Medical Errors: Incidence, Theories, Myths and Solutions (Presentation at the Seminole County Patient Safety Summit Archived 2008-12-11 at the Wayback Machine, April 22, 2006)
- Weingart SN, Wilson RM, Gibberd RW, Harrison B (March 2000). "Epidemiology of medical error". BMJ. 320 (7237): 774–7. doi:10.1136/bmj.320.7237.774. PMC 1117772. PMID 10720365.
- Wu AW, Folkman S, McPhee SJ, Lo B (April 1991). "Do house officers learn from their mistakes?". JAMA. 265 (16): 2089–94. doi:10.1001/jama.265.16.2089. PMC 1743709. PMID 2013929.
- Neale, G; Woloshynowych, M; Vincent, C (July 2001). "Exploring the causes of adverse events in NHS hospital practice". Journal of the Royal Society of Medicine. 94 (7): 322–30. doi:10.1177/014107680109400702. PMC 1281594. PMID 11418700.
- Nocera A, Khursandi DS (June 1998). "Doctors' working hours: can the medical profession afford to let the courts decide what is reasonable?". Med J Aust. 168 (12): 616–8. doi:10.5694/j.1326-5377.1998.tb141450.x. PMID 9673625. Archived from the original on 2006-08-19. Retrieved 2006-07-01.
- Landrigan CP, Rothschild JM, Cronin JW, et al. (2004). "Effect of reducing interns' work hours on serious medical errors in intensive care units". N. Engl. J. Med. 351 (18): 1838–48. doi:10.1056/NEJMoa041406. PMID 15509817.
- Barger LK, Ayas NT, Cade BE, et al. (December 2006). "Impact of extended-duration shifts on medical errors, adverse events, and attentional failures". PLoS Med. 3 (12): e487. doi:10.1371/journal.pmed.0030487. PMC 1705824. PMID 17194188.
- Fahrenkopf AM, Sectish TC, Barger LK, et al. (March 2008). "Rates of medication errors among depressed and burnt out residents: prospective cohort study". BMJ. 336 (7642): 488–91. doi:10.1136/bmj.39469.763218.BE. PMC 2258399. PMID 18258931. Archived from the original on 2008-03-28. Retrieved 2008-03-24.
- Michael L. Millenson (2003). "The Silence". Health Affairs. 22 (2): 103–112. doi:10.1377/hlthaff.22.2.103. PMID 12674412. Retrieved 2008-03-23.
- Elizabeth A. Henneman, RN, CCNS (1 October 2007). "Unreported Errors in the Intensive Care Unit, A Case Study of the Way We Work". Critical Care Nurse. 27 (5): 27–34. PMID 17901458. Archived from the original on 2008-10-13. Retrieved 2008-03-23.CS1 maint: Multiple names: authors list (link)
- Aiken LH, Clarke SP, Sloane DM, Sochalski J, Silber JH (2002). "Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction". JAMA. 288 (16): 1987–93. doi:10.1001/jama.288.16.1987. PMID 12387650.
- Gardner, Amanda (6 March 2007). "Medication Errors During Surgeries Particularly Dangerous". The Washington Post. Archived from the original on 2012-10-26. Retrieved 2007-03-13.
- 8th Annual MEDMARX Report (2008-01-29). "Press Release". U.S. Pharmacopeia. Archived from the original on 2008-02-08. Retrieved 2008-03-23.
- McDonald, MD, Clement J. (4 April 2006). "Computerization Can Create Safety Hazards: A Bar-Coding Near Miss". Annals of Internal Medicine. 144 (7): 510–516. doi:10.7326/0003-4819-144-7-200604040-00010. PMID 16585665. Archived from the original on 2006-07-14. Retrieved 2006-07-31.
- US Agency for Healthcare Research & Quality (2008-01-09). "Physicians Want To Learn from Medical Mistakes but Say Current Error-reporting Systems Are Inadequate". Archived from the original on 2008-02-17. Retrieved 2008-03-23.
- Clement JP, Lindrooth RC, Chukmaitov AS, Chen HF (February 2007). "Does the patient's payer matter in hospital patient safety?: a study of urban hospitals". Med Care. 45 (2): 131–8. doi:10.1097/01.mlr.0000244636.54588.2b. PMID 17224775.
- "Incorporating Patient-Safe Design into the Guidelines". The American Institute of Architects Academy Journal. 2005-10-19. Archived from the original on 2006-10-07. Retrieved 2007-01-28.
- The Joint Commission’s Annual Report on Quality and Safety 2007: Improving America’s Hospitals Archived 2008-04-16 at the Wayback Machine (Accessed 2008-04-09)
- René Amalberti, MD; Yves Auroy, MD; Don Berwick, MD, MPP; Paul Barach, MD, MPH (3 May 2005). "Five System Barriers to Achieving Ultrasafe Health Care". Annals of Internal Medicine. 142 (9): 756–764. doi:10.7326/0003-4819-142-9-200505030-00012. PMID 15867408. Archived from the original on 2005-12-26. Retrieved 2006-07-12.CS1 maint: Multiple names: authors list (link)
- Institute of Medicine (1999). "To Err Is Human: Building a Safer Health System, page 4". The National Academies Press. Archived from the original on 2006-09-13. Retrieved 2006-07-01.
- Federal Aviation Administration (FAA): Accidents and Accident Rates, 1986 through 2005, U.S. Air Carriers Archived 2006-09-30 at the Wayback Machine
- Robert Helmreich (2000). "On error management: lessons from aviation". British Medical Journal. 320 (7237): 781–785. doi:10.1136/bmj.320.7237.781. PMC 1117774. PMID 10720367. Retrieved 2006-06-24.
- J Bryan Sexton; Eric J Thomas; Robert L Helmreich (2000). "Error, stress, and teamwork in medicine and aviation". British Medical Journal. 320 (7237): 745–749. doi:10.1136/bmj.320.7237.745. PMC 27316. PMID 10720356. Retrieved 2006-06-24.
- Wald, Matthew L. (October 1, 2007). "Fatal Airplane Crashes Drop 65%". The New York Times. Archived from the original on 2011-07-09. Retrieved 2007-10-01.
- Lenert LA, Burstin H, Connell L, Gosbee J, Phillips G (2002). "Federal patient safety initiatives panel summary". J Am Med Inform Assoc. 9 (6 Suppl): S8–10. doi:10.1197/jamia.M1217. PMC 419408. PMID 12386172.
- "United 173 - The Need for CRM". www.goflightmedicine.com. Archived from the original on 2014-10-06. Retrieved 30 Sep 2014.
- Mandak, Joe (September 18, 2005). "Database seeks to lower firefighter deaths". USA Today. Archived from the original on 2008-02-22. Retrieved 2006-07-08.
- AORN: SafetyNet Archived 2006-07-17 at the Wayback Machine
- "AlmostME". www.almostme.com. Archived from the original on 2018-08-27. Retrieved 2018-12-05.
- Tamuz M, Harrison MI (August 2006). "Improving patient safety in hospitals: Contributions of high-reliability theory and normal accident theory". Health Serv Res. 41 (4 Pt 2): 1654–76. doi:10.1111/j.1475-6773.2006.00570.x. PMC 1955347. PMID 16898984.
- RAND Healthcare: Health Information Technology: Can HIT Lower Costs and Improve Quality? Archived 2015-06-30 at the Wayback Machine Retrieved on July 8, 2006
- Ross Koppel; et al. (2005). "Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors". JAMA. 293 (10): 1197–1203. doi:10.1001/jama.293.10.1197. PMID 15755942. Archived from the original on 2006-07-06. Retrieved 2006-06-28.
- Institute of Medicine (2001). Crossing the Quality Chasm: A New Health System for the 21st Century. The National Academies Press. doi:10.17226/10027. ISBN 978-0-309-07280-9. PMID 25057539. Archived from the original on 2006-06-15. Retrieved 2006-06-29.
- American College of Physicians Observer: How EMR software can help prevent medical mistakes Archived 2008-08-30 at the Wayback Machine by Jerome H. Carter (September 2004)
- Kensaku Kawamoto, fellow1, Caitlin A Houlihan, E Andrew Balas, David F Lobach (2005). "Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success". British Medical Journal. 330 (7494): 765–768. doi:10.1136/bmj.38398.500764.8F. PMC 555881. PMID 15767266. Archived from the original on 2006-05-28. Retrieved 2006-06-29.CS1 maint: Multiple names: authors list (link)
- C J Morris; B S P Savelyich; A J Avery; J A Cantrill; A Sheikh (2005). "Patient safety features of clinical computer systems: questionnaire survey of GP views". Quality and Safety in Health Care. 14 (3): 164–168. doi:10.1136/qshc.2004.011866. PMC 1744017. PMID 15933310. Archived from the original on 2006-06-18. Retrieved 2006-07-08.
- "Verification Screen That Includes Prominent Patient Photograph Significantly Reduces Errors Caused by Orders Placed in Wrong Chart". AHRQ Health Care Innovations Exchange. 2013-04-24. Archived from the original on 2017-01-31. Retrieved 2013-04-26.
- EMERGENTag Archived 2009-05-05 at the Wayback Machine, portable offline emergency medical record
- "DEPATISnet - Bibliographische Daten". depatisnet.dpma.de.
- The Institute of Medicine (2006). Preventing Medication Errors. The National Academies Press. doi:10.17226/11623. ISBN 978-0-309-10147-9. Archived from the original on 2006-09-01. Retrieved 2006-07-21.
- David W. Bates, MD; et al. (1998). "Effect of Computerized Physician Order Entry and a Team Intervention on Prevention of Serious Medication Errors". JAMA. 280 (15): 1311–1316. doi:10.1001/jama.280.15.1311. PMID 9794308. Archived from the original on 2006-06-15. Retrieved 2006-06-20.
- "Hospital Quality & Safety Survey" (PDF). The Leapfrog Group. 2004. Archived from the original (PDF) on 2006-09-03. Retrieved 2006-07-08.
- Kaufman, Marc (2005-07-21). "Medication Errors Harming Millions, Report Says. Extensive National Study Finds Widespread, Costly Mistakes in Giving and Taking Medicine". The Washington Post. pp. A08. Archived from the original on 2008-09-04. Retrieved 2006-07-21.
- Lohr, Steve (2005-03-09). "Doctors' Journal Says Computing Is No Panacea". The New York Times. Archived from the original on 2007-01-23. Retrieved 2006-07-15.
- Patrick Palmieri; et al. (2007). "Technological iatrogenesis: New risks force heightened management awareness" (PDF). Journal of Healthcare Risk Management. 27 (4): 19–24. doi:10.1002/jhrm.5600270405. PMID 20200891. Archived from the original (PDF) on 2008-12-17. Retrieved 2008-07-02.
- Weiner; Kfuri, T; Chan, K; Fowles, JB; et al. (2007). "e-Iatrogenesis: The most critical unintended consequence of CPOE and other HIT" (PDF). Journal of the American Medical Informatics Association. 14 (3): 387–388. doi:10.1197/jamia.M2338. PMC 2244888. PMID 17329719. Archived (PDF) from the original on 2008-12-17. Retrieved 2008-08-24.
- Santell, John P (2004). "Computer Related Errors: What Every Pharmacist Should Know" (PDF). United States Pharmacopia. Archived from the original (PDF) on 2008-11-20. Retrieved 2006-06-20.
- David L Sackett; William M C Rosenberg; J A Muir Gray; R Brian Haynes; W Scott Richardson (1996). "Editorials: Evidence based medicine: what it is and what it isn't". British Medical Journal. 312 (7023): 71–72. doi:10.1136/bmj.312.7023.71. PMC 2349778. PMID 8555924. Archived from the original on 2006-07-05. Retrieved 2006-06-28.
- Agency for Healthcare Research and Quality: The National Guideline Clearinghouse Archived 2006-07-15 at the Wayback Machine
- The National Institute for Health and Clinical Excellence (NICE) Providing national guidance on promoting good health Archived 2006-07-10 at the Wayback Machine
- G. Ollenschlaeger, C. Marshall, S. Qureshi et al.: Improving the quality of health care: using international collaboration to inform guideline programmes by founding the Guidelines International Network (G-I-N). Qual Saf Health Care 2004;13:455-460 Archived 2009-03-28 at the Wayback Machine
- William Rosenberg; Anna Donald (1995). "Evidence based medicine: an approach to clinical problem-solving". British Medical Journal. 310 (6987): 1122–1126. doi:10.1136/bmj.310.6987.1122. PMC 2549505. PMID 7742682. Archived from the original on 2012-07-13. Retrieved 2006-06-28.
- Institute of Medicine: Guidelines for Clinical Practice: From Development to Use[permanent dead link] (1992)
- Tonelli MR (December 2001). "The limits of evidence-based medicine". Respir Care. 46 (12): 1435–40, discussion 1440–1. PMID 11728302.
- American College of Surgeons Bulletin: Practice guidelines and liability implications Archived 2006-09-26 at the Wayback Machine
- "House Bill 1493 2005-2006 Session - North Carolina General Assembly". www2.ncleg.net.
- Kessler, JM (Winter 2005). "Pharmacy Quality Assurance". Journal of the North Carolina Association of Pharmacists.
- Martínez Pérez, María; Vázquez González, Guillermo; Dafonte, Carlos (2016-07-28). "Safety and Traceability in Patient Healthcare through the Integration of RFID Technology for Intravenous Mixtures in the Prescription-Validation-Elaboration-Dispensation-Administration Circuit to Day Hospital Patients". Sensors. 16 (8): 1188. doi:10.3390/s16081188. PMC 5017354. PMID 27483269. Archived from the original on 2017-02-23. Retrieved 2017-03-17.
- Lacey, Susan; Smith, Janis B.; Cox, Karen. Patient Safety and Quality: An Evidence-Based Handbook for Nurses (PDF). Agency for Healthcare Research and Quality. Archived (PDF) from the original on 2013-02-23. Retrieved 2014-12-06.
- Institute of Medicine (2000). To Err is Human: Building a Safer Health System. Washington, DC: National Academies Press.
- Kaushal, R; Bates, DW; et al. (2001). "Medication errors and adverse drug events in pediatric inpatients". JAMA. 285 (16): 2114–20. doi:10.1001/jama.285.16.2114.
- Miller, MR; Elixhauser, A; Zhan, C (June 2003). "Patient safety events during pediatric hospitalizations". Pediatrics. 111 (6): 1358–66. doi:10.1542/peds.111.6.1358.
- Slonim, AD; Pollack, MM (2005). "Integrating the Institute of Medicine's six quality aims into pediatric critical care: Relevance and applications". Pediatric Critical Care Medicine. 6 (3): 264–9. doi:10.1097/01.pcc.0000160592.87113.c6. PMID 15857522.
- Beal, AC; Co, JPT; et al. (Jan 2004). "Quality Measures for Children's Health Care". Pediatrics. 113 (1): 199–209.
- Woods, DM; Johnson, J; et al. (December 2005). "Anatomy of a patient safety event: Pediatric patient safety taxonomy". Qual Saf Health Care. 14 (6): 422–7. doi:10.1136/qshc.2004.013573. PMC 1744098. PMID 16326788.
- Pediatric Quality Indicators Overview. AHRQ Quality Indicators. Rockville, MD: Agency for Healthcare Research and Quality. February 2006. Archived from the original on 2010-05-27. Retrieved 2012-02-03.
- Aiken, LH; Clarke, SP; et al. (Oct 2002). "Hospital nurse staffing and patient mortality, nurse burnout, and job dissatisfaction". JAMA. 288 (16): 1987–93. doi:10.1001/jama.288.16.1987. PMID 12387650.
- Needleman, J; Buerhaus, P; et al. (May 2002). "Nurse-staffing levels and the quality of care in hospitals". The New England Journal of Medicine. 346 (22): 1715–22. doi:10.1056/nejmsa012247. PMID 12037152.
- Lamagne, P; McPhee, M (2004). "Troubleshooting pediatric peripheral IVs: Phlebitis and infiltration". Nurs Spectrum. 8 (13): 18–20.
- Infusion Nursing Society (2000). "Infusion nursing standards of practice". J Intraven Nurs. 23 (6 Suppl): S1–85.
- Rogers, Hwang, Scott, Aiken, Dinges, Ann E., Wei-Ting, Linda D., Linda H., David F. (2004). "The Working Hours Of Hospital Staff Nurses And Patient Safety". Health Affairs. 23 (4): 202–212. doi:10.1377/hlthaff.23.4.202. PMID 15318582. Archived from the original on 2016-04-05. Retrieved 1 April 2016.CS1 maint: Multiple names: authors list (link)
- Scott, Linda D.; Rogers, Ann E.; Hwang, Wei-Ting; Zhang, Yawei (2006-01-01). "Effects of Critical Care Nurses' Work Hours on Vigilance and Patients' Safety". American Journal of Critical Care. 15 (1): 30–37. Archived from the original on 2016-11-17. Retrieved 1 April 2016.
- Committee on the Work Environment for Nurses and Patient Safety, Board of Health Care Services, Institute of Medicine (Feb 27, 2004). Page, Ann (ed.). Keeping Patients Safe: Transforming the Work Environment of Nurses. National Academics Press. p. 12. ISBN 978-0309187367.CS1 maint: Multiple names: authors list (link)
- Scott, Rogers, Hwang, Zhang, Linda D., Ann E., Wei-Ting, Yawei (2006-01-01). "Effects of Critical Care Nurses' Work Hours on Vigilance and Patients' Safety". American Journal of Critical Care. 15 (1): 30–37. Archived from the original on 2016-11-17. Retrieved 1 April 2016.CS1 maint: Multiple names: authors list (link)
- Dorrian, Jillian; Lamond, Nicole; van den Heuvei, Cameron; Pincombe, Jan; Rogers, Ann E.; Dawson, Drew (7 July 2009). "A Pilot Study of the Safety Implications of Australian Nurses' Sleep and Work Hours". Chronobiology International: The Journal of Biological and Medical Rhythm Research. 23 (6): 1149–1163. doi:10.1080/07420520601059615. PMID 17190702.
- Dean, Grace E.; Scott, Linda D.; Rogers, ANN E. (2006). "INFANTS AT RISK: WHEN NURSE FATIGUE JEOPARDIZES QUALITY CARE : Advances in Neonatal Care". Advances in Neonatal Care. 6 (3): 120–126. doi:10.1016/j.adnc.2006.02.001. PMID 16750806. Archived from the original on 2016-04-19. Retrieved 2016-04-01.
- Williams, MV (1995). "Inadequate functional health literacy among patients at two public hospitals". JAMA. 274 (21): 677–82. doi:10.1001/jama.274.21.1677. PMID 7474271. Archived from the original on 2006-07-06. Retrieved 2006-07-01.
- The Institute of Medicine: Health Literacy: A Prescription to End Confusion Archived 2006-12-09 at the Wayback Machine (2004)
- Davis, TC; Wolf, MS; Bass, PF, III; Thompson, JA; et al. (29 November 2006). "Literacy and Misunderstanding Prescription Drug Labels". Annals of Internal Medicine. 145 (12): 0000605–200612190–00144. doi:10.7326/0003-4819-145-12-200612190-00144. PMID 17135578. Archived from the original on 2007-02-24. Retrieved 2006-11-30.
- U.S. Department of Health and Human Services: Quick Guide to Health Literacy Archived 2006-06-25 at the Wayback Machine
- Williams, MV (1995). "The test of functional health literacy in adults: A new instrument for measuring patients' literacy skills". J Gen Intern Med. 10 (1): 537–41. doi:10.1007/BF02599568. PMID 8576769.
- The Commonwealth Fund: Five Years After "To Err Is Human": What Have We Learned? Archived 2006-10-04 at the Wayback Machine
- Rosenthal, MB; Frank, RG; Li, Z; Epstein, AM (2005). "Early experience with pay-for-performance: From concept to practice". JAMA. 294 (14): 1788–93. doi:10.1001/jama.294.14.1788. PMID 16219882. Archived from the original on 2006-08-13. Retrieved 2006-07-08.
- Petersen, LA; Woodard, LD; Urech, T; Daw, C; et al. (15 August 2006). "Does pay-for-performance improve the quality of health care?". Annals of Internal Medicine. 145 (4): 265–272. doi:10.7326/0003-4819-145-4-200608150-00006. PMID 16908917. Archived from the original on 2007-09-26. Retrieved 2006-08-14.
- Rosenthal, MB; Frank, RG (2006). "What Is the empirical basis for paying for quality in health care?". Medical Care Research and Review. 63 (2): 135–57. doi:10.1177/1077558705285291. PMID 16595409. Archived from the original on 2006-07-12. Retrieved 2006-07-09.
- US Congress, House Committee on Employer-Employee Relations: Pay For Performance Measures and Other Trends in Employer Sponsored Healthcare, "Testimony of Meredith B. Rosenthal, PhD" (PDF). Archived from the original (PDF) on 2006-05-31. Retrieved 2006-07-09. (31.5 KiB) May 17, 2005
- National Health Service: Quality and Outcomes Framework data Archived 2006-07-11 at the Wayback Machine Retrieved July 8, 2006
- Rosenthal, MB; Frank, RG; Li, Z; Epstein, AM (2005). "Early experience with pay-for-performance, from concept to practice". JAMA. 294 (14): 1788–93. doi:10.1001/jama.294.14.1788. PMID 16219882. Archived from the original on 2008-09-04. Retrieved 2008-07-18., Retrieved 2008-07-18
- Medicare Australia: Practice Incentives Program (PIP) Archived 2009-06-12 at the Wayback Machine, Retrieved 2008-07-18
- Pink, GH; Brown, AD; Studer, ML; Reiter, KL; et al. (2006). "Pay-for-performance in publicly financed healthcare: Some international experience and considerations for Canada". Healthc Pap. 6 (4): 8–26. doi:10.12927/hcpap.2006.18260. PMID 16825853., Retrieved 2008-07-18
- Greß, S; Focke, A; Hessel, F; Wasem, J (2006). "Financial incentives for disease management programmes and integrated care in German social health insurance". Health Policy. 78 (2–3): 295–305. doi:10.1016/j.healthpol.2005.11.011. PMID 16343688., Retrieved 2008-07-18
- Custers, T; Arah, OA; Klazinga, NS (2007). "Is there a business case for quality in The Netherlands? A critical analysis of the recent reforms of the health care system". Health Policy. 82 (2): 226–39. doi:10.1016/j.healthpol.2006.09.005. PMID 17070956., Retrieved 2008-07-18
- Perkins, R; Seddon, M (2006). "Quality improvement in New Zealand healthcare. Part 5: measurement for monitoring and controlling performance—the quest for external accountability". New Zealand Medical Journal. 119 (1241). Archived from the original on 2008-10-12. Retrieved 2008-07-18., Retrieved 2008-07-18
- Doran, T; Fullwood, C; et al. (2006). "Pay-for-performance programs in family practices in the United Kingdom". N. Engl. J. Med. 355 (4): 375–84. doi:10.1056/NEJMsa055505. PMID 16870916.
- Doran, T; Fullwood, C; Reeves, D; Gravelle, H; et al. (2008). "Exclusion of patients from pay-for-performance targets by English physicians". The New England Journal of Medicine. 359 (3): 274–84. doi:10.1056/NEJMsa0800310. PMID 18635432. Archived from the original on 2008-09-02. Retrieved 2008-07-18. Retrieved 2008-07-18
- Centers for Medicare and Medicaid Services. "Pay For Performance (P4P) Initiatives" (Press release).
- Centers for Medicare and Medicaid Services. "Medicare Begins Performance-Based Payments For Physician Groups" (Press release). Archived from the original on 2007-04-08. Retrieved 2007-04-15.
- Centers for Medicare and Medicaid Services. "First Evaluation Report to Congress" (PDF). Medicare Physician Group Practice Demonstration. Archived from the original (PDF) on 2008-10-08. Retrieved 2007-04-15.
- Lindenauer, PK; Remus, D; et al. (2007). "Public reporting and pay for performance in hospital quality improvement". The New England Journal of Medicine. 356 (5): 486–96. CiteSeerX 10.1.1.535.5131. doi:10.1056/NEJMsa064964. PMID 17259444.
- Epstein, AM (2007). "Pay for performance at the tipping point". The New England Journal of Medicine. 356 (5): 515–7. doi:10.1056/NEJMe078002. PMID 17259445.
- Welker, JA; Huston, M; McCue, JD (2008-02-25). "Antibiotic timing and errors in diagnosing pneumonia". Archives of Internal Medicine. 168 (4): 347–8. doi:10.1001/archinternmed.2007.84. PMID 18299488.
- National Quality Forum (2007). Serious Reportable Events in Healthcare 2006 Update: A Consensus Report. Washington, D.C.: National Quality Forum. ISBN 978-1-933875-08-8. Archived from the original on 2007-08-29. Retrieved 2007-08-26. Retrieved 2007-08-25
- Centers for Medicare & Medicaid Services (CMS) (2006-05-18). "Eliminating serious, preventable, and costly medical error - Never Events" (Press release). Archived from the original on 2007-05-13. Retrieved 2007-08-25.
- "Medicare won't pay for hospital mistakes". The Washington Post. Associated Press. 2007-08-18. Archived from the original on 2015-08-26. Retrieved 2007-08-25.
- Yee, Chen May (2007-08-22). "Medicare tightening the screws on medical mistakes". The Minneapolis Star Tribune. Archived from the original on 2007-08-25. Retrieved 2007-08-26. Retrieved 2007-08-25
- The Leapfrog Group (2006-11-15). "Call to Hospitals to Commit to New Policy on "Never Events"" (PDF) (Press release). Archived from the original (PDF) on 2007-09-27. Retrieved 2007-08-25.
- IDSA; SHEA; APIC (2006-06-13). "Comment on CMS Inpatient PPS Proposed Rule 1488P: Healthcare-associated infection". Archived from the original on 2006-07-12.
- American Academy of Neurology. "Pay-For-Performance" (PDF). Federal Legislation Position Statements. Archived from the original (PDF) on 2006-10-18. Retrieved 2007-04-15.
- Pham, HH; Schrag, D; O'Malley, AS; Wu, B; et al. (2007). "Care patterns in Medicare and their implications for pay for performance". The New England Journal of Medicine. 356 (11): 1130–9. CiteSeerX 10.1.1.622.7686. doi:10.1056/NEJMsa063979. PMID 17360991.
- Snyder, L; Neubauer, RL; American College of Physicians Ethics, Professionalism and Human Rights Committee (4 December 2007). "Pay-for-performance principles that promote patient-centered care: An ethics manifesto". Annals of Internal Medicine. 147 (11): 792–4. doi:10.7326/0003-4819-147-11-200712040-00011. PMID 18056664. Archived from the original on 2008-12-12. Retrieved 2008-03-31.
- Leichter, SB (2006). "Pay-for-performance contracts in diabetes care" (PDF). Clinical Diabetes. 24 (2): 56–59. CiteSeerX 10.1.1.601.4675. doi:10.2337/diaclin.24.2.56. Archived (PDF) from the original on 2008-12-17. Retrieved 2008-03-31.
- Cannon, Michael F. (2006). Pay for Performance: Is Medicare a Good Candidate? (PDF). Cato Institute. Archived (PDF) from the original on 2008-04-09. Retrieved 2008-04-02..
- "Danish Act on Patient Safety" (PDF). Archived from the original (PDF) on 2007-06-09.
- Danish National Board of Health. "Danish Patient Safety Database 2007" (PDF).[permanent dead link]
- "Strategy". National Confidential Enquiries. Archived from the original on 2007-09-29. Retrieved 2006-07-02.
- Institute of Medicine (1999). "Recommendation 5.1: Mandatory Reporting". To Err is Human. Archived from the original on 2006-09-13.
- Anesthesia Patient Safety Foundation (February 2000). "Response to the IOM Report". Archived from the original on 2005-12-31.
- Agency for Healthcare Research and Quality: Reporting Requirements Cloud Consensus on Curbing Medical Errors Archived 2006-08-29 at the Wayback Machine (May 2000)
- 109th US Congress (2005-07-29). "Patient Safety and Quality Improvement Act of 2005". Archived from the original on 2006-06-06.
- Gaul, Gilbert M. (2005-07-29). "Plan would compile, analyze medical errors". The Washington Post. p. A06. Archived from the original on 2016-03-04. Retrieved 2017-09-07.
- US Agency for Healthcare Research & Quality: Beyond State Reporting: Medical Errors and Patient Safety Issues Archived 2008-04-24 at the Wayback Machine (Accessed 2008-03-23)
- Hingorani, M; Wong, T; Vafidis, G (1999-03-06). "Patients' and doctors' attitudes to amount of information given after unintended injury during treatment: Cross sectional, questionnaire survey". British Medical Journal. 318 (7184): 640–641. doi:10.1136/bmj.318.7184.640. PMC 27769. PMID 10066205. Archived from the original on 2007-03-09. Retrieved 2008-03-23.
- Fung, CH; Lim, Y-W; Mattke, S; Damberg, C; et al. (2008-01-15). "The evidence that publishing patient care performance data emproves quality of care". Annals of Internal Medicine (systematic review). 148 (2): 111–23. CiteSeerX 10.1.1.691.1541. doi:10.7326/0003-4819-148-2-200801150-00006. PMID 18195336. Archived from the original on 2008-12-12. Retrieved 2008-03-23.
- Hibbard, JH; Stockard, J; Tusler, M (2003). "Does publicizing hospital performance stimulate quality improvement efforts?". Health Aff (Millwood). 22 (2): 84–94. doi:10.1377/hlthaff.22.2.84. PMID 12674410. Archived from the original on 2008-05-11. Retrieved 2008-03-24.
- Joint Commission on Accreditation of Healthcare Organizations: 2006 Comprehensive Accreditation Manual for Hospitals: The Official Handbook. Oakbrook Terrace, IL: Joint Commission Resources, 2005
- American Medical Association: Code of Ethics Archived 2007-09-29 at the Wayback Machine
- Medical News Today: Sens. Rodham Clinton, Obama Propose National Medical Error Disclosure Program, USA Archived 2005-11-30 at the Wayback Machine (29 September 2005)
- SorryWorks! Coalition: List of US states with apology laws Archived 2008-05-10 at the Wayback Machine (accessed 2008-05-18)
- Massachusetts (ALM GL ch.233, 23D), California (Cal. Evid. Code section 1160), Florida (Fla. Stat. section 90.4026), Texas (Tex. Civ. Practice & Remedies Code section 18.0612), Washington (RCWA section 5.66.010), Oregon (2003 Oregon Laws Ch. 384), and Colorado (Colorado Revised Statute 13-25-135)
- Sack, Kevin (2008-05-18). "Doctors Start to Say 'I'm Sorry' Long Before 'See You in Court'". The New York Times. Archived from the original on 2015-06-13. Retrieved 2017-02-19.
- Clinton HR, Obama B (2006). "Making patient safety the centerpiece of medical liability reform". N. Engl. J. Med. 354 (21): 2205–8. doi:10.1056/NEJMp068100. PMID 16723612.
- The National Medical Error Disclosure and Compensation (MEDiC) Bill did not receive subcommittee approval in 2005. Clinton included the proposal in her presidential campaign platform but has not resubmitted the bill to Congress.(see NY Times article) Archived 2015-06-13 at the Wayback Machine
- Kraman SS, Cranfill L, Hamm G, Woodard T (December 2002). "John M. Eisenberg Patient Safety Awards. Advocacy: the Lexington Veterans Affairs Medical Center". Jt Comm J Qual Improv. 28 (12): 646–50. PMID 12481598.
- "Study Suggests Medical Errors Now Third Leading Cause of Death in the U.S. - 05/03/2016". Archived from the original on 2017-03-03. Retrieved 2017-03-02.
- Consumer-Purchaser Disclosure Project: Consumers, Purchasers, Physicians, and Insurers Agree on Principles to Guide Physician Performance Reporting (2008-04-01) News Release Archived 2008-04-01 at the Wayback Machine
- Whistleblowing.org  Archived 2008-05-11 at the Wayback Machine Retrieved on 2008-03-17
- UK Department of Health: News Release(1999-09-01: Government Moves To Halt Secrecy In NHS Retrieved 2008-03-17
- Naomi Craft (1995). "Medicine and books: Whistleblowing in the Health Service: Accountability, Law and Professional Practice; Whistleblowing: Subversion or Corporate Citizenship?". British Medical Journal. 311 (7017): 1444. doi:10.1136/bmj.311.7017.1444. Archived from the original on 2003-08-25. Retrieved 2008-03-17.
- AHRQ: 2006 National Healthcare Quality Report Archived 2007-02-06 at the Wayback Machine Retrieved 2007-01-12
- "Many patients with advanced cancers get treatments that won't help, study finds". ScienceDaily. Archived from the original on 2018-11-18. Retrieved 2018-03-09.
|Library resources about |
- CIMIT Center for Integration of Medicine and Innovative Technology - Nonprofit organizations together advocating for Patient safety
- Institute for safety in Office Based Surgery
- Health-EU Portal Patient Safety in the EU
- Academic Center for Evidence-Based Practice (ACE)
- Improvement Science Research Network (ISRN)
- Beyond The Checklist: What Else Healthcare Can Learn From Aviation Teamwork and Safety