Literature DB >> 23869100

The epidemiology of malpractice claims in primary care: a systematic review.

E Wallace1, J Lowry, S M Smith, T Fahey.   

Abstract

OBJECTIVES: The aim of this systematic review was to examine the epidemiology of malpractice claims in primary care.
DESIGN: A computerised systematic literature search was conducted. Studies were included if they reported original data (≥10 cases) pertinent to malpractice claims, were based in primary care and were published in the English language. Data were synthesised using a narrative approach.
SETTING: Primary care. PARTICIPANTS: Malpractice claimants. PRIMARY OUTCOME: Malpractice claim (defined as a written demand for compensation for medical injury). We recorded: medical misadventure cited in claims, missed/delayed diagnoses cited in claims, outcome of claims, prevalence of claims and compensation awarded to claimants.
RESULTS: Of the 7152 articles retrieved by electronic search, a total of 34 studies met the inclusion criteria and were included in the narrative analysis. Twenty-eight studies presented data from medical indemnity malpractice claims databases and six studies presented survey data. Fifteen studies were based in the USA, nine in the UK, seven in Australia, one in Canada and two in France. The commonest medical misadventure resulting in claims was failure to or delay in diagnosis, which represented 26-63% of all claims across included studies. Common missed or delayed diagnoses included cancer and myocardial infarction in adults and meningitis in children. Medication error represented the second commonest domain representing 5.6-20% of all claims across included studies. The prevalence of malpractice claims in primary care varied across countries. In the USA and Australia when compared with other clinical disciplines, general practice ranked in the top five specialties accounting for the most claims, representing 7.6-20% of all claims. However, the majority of claims were successfully defended.
CONCLUSIONS: This review of malpractice claims in primary care highlights diagnosis and medication error as areas to be prioritised in developing educational strategies and risk management systems.

Entities:  

Keywords:  Epidemiology; Medical Law; Primary Care

Year:  2013        PMID: 23869100      PMCID: PMC3693415          DOI: 10.1136/bmjopen-2013-002929

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Malpractice risk in primary care is understudied. An awareness of the epidemiology of malpractice claims in primary care could help inform risk management and educational strategies. Failure to or delay in diagnosis was the commonest misadventure cited in malpractice claims. The diagnoses most frequently cited in claims for adults were cancer and myocardial infarction and for children, meningitis. Medication error was the second commonest reason for claims in primary care. Timely systematic review considering the increased focus on adverse events in primary care. Difficult to generalise findings considering the variation in the definition of primary care across countries and differences in clinical and legal systems. Limited to publications in English only.

Introduction

Healthcare in the primary care setting is becoming increasingly complex. These complexities include caring for patients with multimorbidity and polypharmacy, the pressure of short consultation times and the increasingly fragmented nature of primary and secondary care. All these issues increase the risk of unintentional patient harm.1 Adverse events in the ambulatory setting are estimated at between 5 and 80 errors/100 000 visits.2 Attempts to classify medical errors and preventable adverse events in primary care have proved challenging due to the lack of an evidence base.3 4 Classification measures include patient chart reviews, administrative database analysis, error reporting systems and malpractice claims reviews, none of which are without their limitations.5 The use of malpractice claims as a proxy for adverse events may be unrepresentative as the majority of adverse events will not result in a malpractice claim, and not all malpractice claims are brought as a result of medical negligence.6 7 Furthermore, malpractice claims represent a complex interplay of patient, doctor and societal factors, and therefore it is difficult to generalise findings due to variations in medical and legal systems and societal norms across countries.8 However, malpractice claims can offer insights into the types and causes of adverse events and have been used by clinical disciplines, such as anaesthetics, surgery and paediatrics, to determine ‘higher risk’ domains of practice.9–11 Malpractice claims in primary care remain relatively understudied despite their potential in informing relevant risk management systems for this setting.12 13 The aim of this systematic review was to examine the epidemiology of malpractice claims in primary care.

Methods

Search strategy

The PRISMA guidelines for the reporting and conduct of systematic reviews were followed to conduct this review.14 A computerised literature search was conducted in April 2012 and updated in January 2013 using the following search engines: PubMed, EMBASE, CINAHL, Cochrane library, Google scholar, Scirus and legal databases (Heinonline, Justis, Lexisnexis and Westlaw). The search strategy details are provided in detail in online supplementary appendix 1.

Study selection and data extraction

Studies were included if they met the following criteria: Study type: studies presenting original data (≥10 cases) on malpractice claims. Study setting: primary care, defined as: integrated, easy to access healthcare services by clinicians who are accountable for addressing a large majority of personal healthcare needs, developing a sustained and continuous relationship with patients, and practicing in the context of family and community.15 Studies relating to complaints that did not result in a malpractice claim were excluded. Studies focusing on outpatient or paediatric malpractice claims were included only if data specific to primary care were reported. Outcome: malpractice claim; defined as a written demand for compensation for medical injury. Published in the English language. Two reviewers (EW and JL) read the titles and/or abstracts of the records and eliminated irrelevant studies. Studies that were considered eligible for inclusion were read fully in duplicate and their suitability for inclusion in the study was independently determined by both reviewers. Disagreements were managed by consensus. Additional data were sought from authors and medical indemnity organisations where necessary. Data were extracted on each of the following: (1) study setting, (2) population studied, (3) type of data (eg, medical indemnity database, survey, etc), (4) prevalence of malpractice claims, (5) medical misadventure cited in claims, (6) types of missed/delayed diagnoses, (7) claims outcomes and (8) compensation awarded to claimants.

Data synthesis

A narrative synthesis of included studies was planned. A narrative review is discursive in nature and seeks to summarise the current state of knowledge in relation to a particular domain by considering a wide variety of sources and reaching conclusions through reason or argument.16

Results

Study identification

A flow diagram of the search strategy is presented in figure 1. This yielded 7152 articles of which 6880 were excluded based on their title and/or abstract. The remaining 307 articles were assessed in full text. A total of 34 studies met the inclusion criteria and were included in the narrative analysis.
Figure 1

PRISMA flow diagram of search strategy.

PRISMA flow diagram of search strategy.

Description of included studies

Of a total of 34 included studies, 28 presented data from retrospective reviews of medical liability insurance databases ranging in terms of numbers included from 20 to 49 345 malpractice claims (see online supplementary table S1). The remaining six studies presented survey data (see table 1). Fifteen studies were based in the USA, nine in the UK, seven in Australia, one in Canada and two in France. A description of the included named malpractice claims databases is presented in table 2.
Table 1

Studies reporting survey data relevant to primary care malpractice claims

Author (year)SettingData sourcePopulation studiedOutcomeFindings
MPS (2011)UKSurvey of GP members1 in 5 related to prescribing related adverse eventsTypes of prescribing errorsFrequently implicated medicationsFailure to warn of or recognise side effects, right drug-wrongly prescribed, wrong drug prescribed, injection related, drug interaction or contraindicatedCommonest medication classes: steroids (oral and topical), antibiotics (previous known penicillin allergy or sulphonamides), phenothiazides, HRT, COCP, narcotics, lithium and anticoagulants (inadequate monitoring) and NSAIDs
MPS (2011)UKSurveyN=670, UK MPS membersPrevalence of malpractice claims27% of respondents were GPs of whom 12% had experienced a malpractice claim
American Medical Association (AMA) (2010)USSurvey. Random sampling of the AMA repository, nationally representative, 2007–2008N=5285 physicians totalN=100 GPs/Family practitionersPrevalence of malpractice claims3.1% sued in the previous year38.9% sued once in their career22.2% Sued more than once in their career
Nash (2009)AustraliaSurvey of doctors who had been insured with UNITED Medical ProtectionN=582 GP cohort33% response ratePrevalence of malpractice claims(Medico-legal matter defined as a claim for compensation or complaint)Of GP cohort;Currently involved in medicolegal matter—9%Ever involved in medicolegal matter—58%Claim for compensation related to malpractice—21%
AMA (1993)USSurveyPrevalence of malpractice claimsFor GPs, the rate was 5.7 per 100 in 1991
Zuckerman (1984)USSurvey of the AMA Socioeconomic Monitoring System (1978–1983)N=1240, All specialtiesPrevalence of malpractice claims per specialtyFor general/family practice, annual claims rate 8.7% (1978–1983), prior to 1978, 3.8%
Table 2

Description of included named medical indemnity databases

Name of databaseSettingDescription of database
Data sharing project of the Physician Insurers Association of America (PIAA)USATrade association of >50 medical malpractice insurance companies which insure approximately 60% of all privately practicing physicians in the USA. In 1985, the Data Sharing Project was established which pools data for approximately 22 member companies representing approximately 25% of the medical malpractice claims at a specific time point. It provides specialty-specific information
Controlled Risk Insurance Companies (CRICOs)USAComprises three companies owned by and serving the Harvard medical communities; the Controlled Risk Insurance Company of Vermont, Inc, the Controlled Risk Insurance Company, Ltd. and the Risk Management Foundation (RMF). Together, these companies insure approximately 83 000 physicians in Massachusetts and New Hampshire
The Doctors’ CompanyUSAPhysician-owned medical liability insurer which insures >73 000 doctors in the USA
Medical Defence Union (MDU)UKMedical defence organisation and a mutual company owned by its members, with >200 000 members in the UK and Ireland
Medical Protection Society (MPS)UKMedical defence organisation and a mutual company with >270 000 members internationally. The main jurisdictions are the UK and Ireland but also include South Africa, New Zealand, Hong Kong, Singapore, Malaysia, the Caribbean, Bermuda and Kenya. It includes both open and closed malpractice claims
Medical Indemnity National Collection (MINC)AustraliaDatabase for medical malpractice claims for the public and private sectors in Australia. There is mandatory reporting of claims to the MINC by all medical indemnity insurers since 2003, so this database should have 100% coverage. It includes open and closed malpractice claims. Of note, more than one claim may be opened for the same incident, for example, if the GP has insurance with more than one medical indemnifier or if multiple clinicians are involved in the same claim. Therefore, one claim may be counted more than once
Sou Medical-Groupe MACSF insurance companyFranceDatabase for medical malpractice claims inputted from a nationwide medical insurance company covering 45 000 GPs in France. It corresponds to approximately 60% of physicians working in France and includes all malpractice claims reported to the region's government-appointed review board regardless of outcome
Canadian Medical Protective Association (CMPA)CanadaPhysician-owned medical defence union whose membership comprises most practising physicians in Canada and serves over 83 000 members

GP, general practitioner.

Studies reporting survey data relevant to primary care malpractice claims Description of included named medical indemnity databases GP, general practitioner.

Epidemiology of malpractice claims in primary care

Prevalence of malpractice claims

A total of 19 studies reported either (1) malpractice claim prevalence rates or (2) the proportion of primary care claims as a percentage of all specialty claims on medical indemnity databases during specified time periods. Of these studies, 11 were based in the USA, four in Australia, three in the UK and one in France. A US study of 4975 family practitioners which compared two study periods (1991–1995 and 2001–2003) reported that lower risk specialties in the USA, including family practice, saw a reduction in malpractice claims from 8.3% to 5.8%.17 The annual prevalence rate for family practitioner claims was 5.2%. The estimated projected career cumulative risk of a malpractice claim was 76% by the age of 65 years. However, only 31% of these claims would be expected to result in compensation being awarded.17 A smaller study (n=446) which focused on primary care claims (1997–2007) reported a paid malpractice claims prevalence rate of 8.7%.18 A US survey conducted in 1983 reported an annual prevalence rate of malpractice claims against family practitioners of 8.2%.19 When this survey was repeated in 1991, this rate had fallen to 5.7%.20 Other surveys in the UK, Australia and the USA examining total career litigation reported rates of 12%, 21% and 38.9%, respectively.21–23 With regard to paediatric malpractice claims against general practitioners (GPs), a French review which reviewed 228 paediatric claims reported an annual prevalence rate of 0.07%.24

Malpractice claims for primary care compared with other specialties

Several studies presented the proportion of primary care malpractice claims compared with that of other specialties on medical indemnity databases. For instance, in a US review of 239 756 closed malpractice claims for 28 specialties during the period 1985–2008, family practitioners ranked third overall, representing 11.5% of all claims.25 In another US review (n=1452 claims), primary care ranked third of the nine specialties studied, representing 16% of the total claims reviewed.26 Five other studies reported proportions which ranged from 7.6% to 16% of total claims.27–31 In the UK, GPs represented the greatest proportion of an overall 20% increase in claims from 2009 to 2010 and claims involving GPs more than doubled in the period 1994–1999.32 33 In Australia, GPs had the highest proportion of malpractice claims and the highest number of new claims on the national Medical Indemnity National Collection database for the years 2009 and 2010.34

Medical misadventures cited in malpractice claims

The medical misadventure most frequently cited related to failure to or delay in diagnosis, which accounted for 26–63% of all malpractice claims across included studies.25 32–37 The most commonly recorded patient outcome was death, which ranged between 15% and 48% of all outcomes recorded in malpractice claims.26 34 35 37–39 One study found that failure in judgement, vigilance or memory and knowledge deficit were the most frequent factors involved. It also highlighted the important multifactorial nature of error. For instance, in 43% of errors studied, two or more clinicians contributed to the missed diagnosis while in 16%, three or more contributed.35 A detailed analysis of delayed or missed diagnosis claims identified failure to order a diagnostic test, create a proper follow-up plan, adequately obtain a history or perform a physical examination and incorrect interpretation of a diagnostic test result as the commonest processes involved.35 In adults, the commonest missed or delayed diagnoses recorded were largely consistent across studies, namely (1) cancer (most commonly breast, colon, melanoma, lung and female genital tract) and (2) circulatory system (most commonly myocardial infarction). Other frequently cited missed or delayed diagnoses included appendicitis, ectopic pregnancy and fractures.33 36 38 40 In children, two studies reported meningitis, gastroenteritis, pneumonia, appendicitis, sepsis and malignancy as the commonest conditions resulting in claims.24 29 According to the child's age, dehydration, meningitis and congenital dislocation of the hip were commonest for those <2 years, pneumonia, malignancy and appendicitis for those aged 3–11 years, and trauma, testicular torsion and malignancy for older children (12–18 years).24 In a UK review of paediatric meningitis and septicaemia claims (n=20, reported between 2001 and 2011), both individual and systems emerged as contributing factors.41 Individual factors included poor documentation and management deficiencies such as inadequate safety-netting. Systems errors included inadequate practice cross-communication and poor provision for emergencies in appointment systems. While a missed or delayed diagnosis of meningitis accounted for only 1% of all claims, it accounted for 30% of total settlement costs.40 Overall, the second commonest medical misadventure cited in malpractice claims was medication error ranging from 5.6% to 20% across included studies.33 37 42 43 A recent UK review reported that prescribing error, inappropriate medication, drug administration errors, dispensing errors and adverse drug reactions are the commonest processes which result in a medication error.43 Two studies reported medication classes cited in claims which included steroid preparations, antibiotics, anticoagulants, antidepressants and antipsychotics.33 42 One study reviewed claims resulting from adverse drug events and found that 27% of primary care adverse drug events were preventable.42

Malpractice claims outcomes and compensation awarded

Seven studies reported the proportion of malpractice claims which were subsequently found to be as a result of negligent care. In one large US study which examined over 27 000 resolved family practitioner claims (1985–2008), only 31.9% resulted in payment.25 This concurs with another study which focused on primary care claims (1985–2000) where the rate of paid claims was 28%.38 A smaller US study (4975 family practitioner claims, 1991–2005) reported that approximately 20% of all claims were settled.17 An earlier review in a single US state (1977–1989) reported that 38.7% of all family/GP claims resulted in payment.30 A French study focusing on paediatric claims only (16% involved GPs) reported that 72% of these claims were paid (either through settlement or at trial).29 In 2006, a US review of 226 primary care malpractice claims, which aimed to identify the proportion of claims which resulted from an error and whether this correlated with compensation being awarded, found an error evident in 60% of claims, of which 73% were paid. Of a total of 40% of claims without evidence of error, 29% were paid.44 One US study reported that the mean time to resolution of a total of 2032 family practice malpractice claims was 20.6 months.31 In the UK, almost half of the malpractice claims are either discontinued or successfully defended.45 The compensation awarded to claimants varied across studies. In the USA, a review of almost 5000 family practice malpractice claims reported mean payments of $253 739.69 and median payments of $119 389.20.17 Diabetes-related indemnity payments for family practitioners ranked second overall in terms of total diabetes indemnity paid totalling $8 316 610.00 for the period 1985–1996.28 In Australia, awards of greater than $250 000 were awarded to 15% of total paid claims.34 A UK report published in 2011 indicated that compensation awards for GP malpractice claims were rising and that 13 claims were awarded compensation in excess of £1 million.32

Discussion

Summary of findings

In the USA, the annual prevalence of malpractice claims against family practitioners appears to have remained relatively stable over the past two decades. When compared with other specialties, family practice is consistently ranked in the top five most sued specialties on US medical indemnity databases.25–28 30 This review also indicates that, in the UK and Australia, malpractice claims against GPs are rising. Importantly, the majority of malpractice claims are successfully defended with approximately one-third of US and one-half of UK GP claims resulting in payment to the claimant. Diagnostic error accounts for the majority of malpractice claims in primary care and the commonest cited missed or delayed diagnoses, for adults, are cancer and myocardial infarction and for children, meningitis. While we acknowledge the limitations of malpractice claims as a proxy for adverse events, it is interesting to note that this finding is congruent with the findings of a review of error in primary care.2 The need to focus on diagnosis while developing quality frameworks has recently been highlighted.46 Diagnostic error may result as a result of faulty clinical reasoning, misinterpretation of diagnostic tests or be related to or exacerbated by system failures and is often multifactorial.47 When we examine in more detail the cognitive processes underlying faulty clinical decision-making, shortcuts in reasoning (heuristics) emerges as an important entity.48 A recent systematic review which focused on common misdiagnoses in primary care suggested that GPs misattributing presenting symptoms and signs to an obvious or readily available diagnosis may be a key issue.49 This process is known as availability heuristics. Estimating the likelihood of a diagnosis with ease of recall is more convenient and often appropriate as familiar diagnoses tend to be those commonly encountered but can lead to error when significant disease is the underlying reason for the encounter. Another issue is that of ‘anchoring heuristics’, which occurs when doctors tend to maintain initial impressions once they are solidly formed. An existing diagnostic label can reduce the clinician's ability to restructure the diagnostic problem and look for an alternative explanation. In primary care where there is a lower prevalence of serious disease, a doctor's ability to formulate an appropriate differential diagnosis list, gather information to test these diagnostic hypotheses and then accept or reject diagnoses based on this appears to be of key importance.50 Medical schools, general practice training programmes and continuing professional development facilitators all have roles to play in ensuring that curricula focuses trainees and practitioners on understanding the nature and psychology of diagnostic error. Medication error represents the second commonest cause of malpractice claims in this review. A recent UK qualitative study which interviewed 34 prescribers regarding 70 medication errors found that errors were often multifactorial with prescriber, patient and system factors all being contributors.51 For the prescriber, the areas highlighted included their therapeutic training, drug knowledge and experience, knowledge of the patient, perception of risk and emotional health. Many of those interviewed felt that their undergraduate prescribing training was inadequate. From a patient perspective, the complexity of the presentation and patient characteristics such as language barriers were highlighted as important factors. From a systems perspective, poor communication, high workload and time pressures were all felt to contribute to medication error. Strategies to reduce medication error therefore should focus on the clinician, patient and system factors. For doctors, facing a malpractice claim can have serious implications. One clinical implication is the subsequent practice of defensive medicine (medical practice based on fear of litigation rather than patients’ best interests), which can result in increased diagnostic testing, increased referral rates, prescription of unnecessary medication and avoiding treating certain conditions or performing certain procedures.52 53 This practice can improve patient care but must be balanced with the potential negative consequences both for patients, in terms of undergoing unnecessary investigations, and for the health service, in terms of increased healthcare expenditure. Doctors facing litigation proceedings have also been shown to experience high levels of psychological distress, with one study reporting over one-third considering leaving medicine or retiring early as a result.54

Strengths and limitations of this study

This review is timely considering the increasing interest in focusing on primary care as a way of improving patient safety. There are, however, several limitations. First, it is difficult to generalise results across countries. In the USA, the term ‘primary care’ often includes internal medicine, general paediatrics and family practice, while in the UK the term is more specific to general practice. Second, while every attempt has been made to be systematic in undertaking this review, the nature of this topic means that many publications appear in the grey literature, making it difficult to be certain that all studies of interest have been captured. Third, as previously outlined, there are well-recognised limitations to using malpractice claims data as a proxy for the totality of adverse events in clinical practice. Finally, this review was limited to publications published in English only and the majority of included studies were from the USA, the UK and Australia, making it difficult to draw country-specific conclusions for other countries such as Canada and France.

Conclusion

The increasing recognition of primary care as a setting for adverse events places the development of fit-for-purpose educational strategies and risk management systems as a priority for those interested in promoting patient safety. This review offers insights into the epidemiology of malpractice claims in this setting and highlights areas that could be prioritised both for future research and in the development of risk management systems.
  36 in total

Review 1.  Effects of the medical liability system in Australia, the UK, and the USA.

Authors:  Daniel P Kessler; Nicholas Summerton; John R Graham
Journal:  Lancet       Date:  2006-07-15       Impact factor: 79.321

2.  Claims, errors, and compensation payments in medical malpractice litigation.

Authors:  David M Studdert; Michelle M Mello; Atul A Gawande; Tejal K Gandhi; Allen Kachalia; Catherine Yoon; Ann Louise Puopolo; Troyen A Brennan
Journal:  N Engl J Med       Date:  2006-05-11       Impact factor: 91.245

3.  Do health system errors cause medical malpractice claims?

Authors:  David B Troxel
Journal:  Bull Am Coll Surg       Date:  2009-05

4.  Electronic health records and malpractice claims in office practice.

Authors:  Anunta Virapongse; David W Bates; Ping Shi; Chelsea A Jenter; Lynn A Volk; Ken Kleinman; Luke Sato; Steven R Simon
Journal:  Arch Intern Med       Date:  2008-11-24

5.  Bringing diagnosis into the quality and safety equations.

Authors:  Mark L Graber; Robert M Wachter; Christine K Cassel
Journal:  JAMA       Date:  2012-09-26       Impact factor: 56.272

Review 6.  Classification of medical errors and preventable adverse events in primary care: a synthesis of the literature.

Authors:  Nancy C Elder; Susan M Dovey
Journal:  J Fam Pract       Date:  2002-11       Impact factor: 0.493

7.  Malpractice risk according to physician specialty.

Authors:  Anupam B Jena; Seth Seabury; Darius Lakdawalla; Amitabh Chandra
Journal:  N Engl J Med       Date:  2011-08-18       Impact factor: 91.245

8.  Improving patient care. The cognitive psychology of missed diagnoses.

Authors:  Donald A Redelmeier
Journal:  Ann Intern Med       Date:  2005-01-18       Impact factor: 25.391

9.  Analysis of surgical errors in closed malpractice claims at 4 liability insurers.

Authors:  Selwyn O Rogers; Atul A Gawande; Mary Kwaan; Ann Louise Puopolo; Catherine Yoon; Troyen A Brennan; David M Studdert
Journal:  Surgery       Date:  2006-07       Impact factor: 3.982

10.  Epidemiology and aetiology of paediatric malpractice claims in France.

Authors:  A Najaf-Zadeh; F Dubos; I Pruvost; C Bons-Letouzey; R Amalberti; A Martinot
Journal:  Arch Dis Child       Date:  2010-07-26       Impact factor: 3.791

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  38 in total

1.  Randomized Trial of Reducing Ambulatory Malpractice and Safety Risk: Results of the Massachusetts PROMISES Project.

Authors:  Gordon D Schiff; Harry Reyes Nieva; Paula Griswold; Nicholas Leydon; Judy Ling; Frank Federico; Carol Keohane; Bonnie R Ellis; Cathy Foskett; E John Orav; Catherine Yoon; Don Goldmann; Joel S Weissman; David W Bates; Madeleine Biondolillo; Sara J Singer
Journal:  Med Care       Date:  2017-08       Impact factor: 2.983

2.  Patient safety and general practice: traversing the tightrope.

Authors:  Carl de Wet; Paul Bowie
Journal:  Br J Gen Pract       Date:  2014-04       Impact factor: 5.386

3.  Court decisions on medical malpractice.

Authors:  Jan-Paul Knaak; Markus Parzeller
Journal:  Int J Legal Med       Date:  2014-03-28       Impact factor: 2.686

4.  Results of nurse navigator follow-up after positive colorectal cancer screening test: a randomized trial.

Authors:  Beverly B Green; Melissa L Anderson; Ching-Yun Wang; Sally W Vernon; Jessica Chubak; Richard T Meenan; Sharon Fuller
Journal:  J Am Board Fam Med       Date:  2014 Nov-Dec       Impact factor: 2.657

5.  Incremental prognostic value of coronary artery calcium score versus CT angiography among symptomatic patients without known coronary artery disease.

Authors:  Edward Hulten; Marcio Sommer Bittencourt; Brian Ghoshhajra; Daniel O'Leary; Mitalee P Christman; Michael J Blaha; Quynh Truong; Kyle Nelson; Philip Montana; Michael Steigner; Frank Rybicki; Jon Hainer; Thomas J Brady; Udo Hoffmann; Marcelo F Di Carli; Khurram Nasir; Suhny Abbara; Ron Blankstein
Journal:  Atherosclerosis       Date:  2014-01-08       Impact factor: 5.162

6.  Characterising patient complaints in out-of-hours general practice: a retrospective cohort study in Ireland.

Authors:  Emma Wallace; Sinead Cronin; Norah Murphy; Sudeh Cheraghi-Sohi; Kate MacSweeney; Mel Bates; Tom Fahey
Journal:  Br J Gen Pract       Date:  2018-11-19       Impact factor: 5.386

7.  Does general practice deliver safe primary care to people living with HIV? A case-notes review.

Authors:  Rosie Wellesley; Alice Whittle; Jose Figueroa; Jane Anderson; Richard Castles; Kambiz Boomla; Chris Griffiths; Werner Leber
Journal:  Br J Gen Pract       Date:  2015-10       Impact factor: 5.386

8.  Electronic Health Record-Related Events in Medical Malpractice Claims.

Authors:  Mark L Graber; Dana Siegal; Heather Riah; Doug Johnston; Kathy Kenyon
Journal:  J Patient Saf       Date:  2019-06       Impact factor: 2.844

9.  MicroRNA Ratios Distinguish Melanomas from Nevi.

Authors:  Rodrigo Torres; Ursula E Lang; Miroslav Hejna; Samuel J Shelton; Nancy M Joseph; A Hunter Shain; Iwei Yeh; Maria L Wei; Michael C Oldham; Boris C Bastian; Robert L Judson-Torres
Journal:  J Invest Dermatol       Date:  2019-09-30       Impact factor: 8.551

10.  Improving Patient Safety in Public Hospitals: Developing Standard Measures to Track Medical Errors and Process Breakdowns.

Authors:  Sara L Ackerman; Gato Gourley; Gem Le; Pamela Williams; Jinoos Yazdany; Urmimala Sarkar
Journal:  J Patient Saf       Date:  2021-12-01       Impact factor: 2.844

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