Quality improvement programme reduces errors in oral medication preparation and administration through feeding tubes

BACKGROUND

Patients with nasogastric/nasoenteric tube (NGT/NET) are at increased risk of adverse outcomes due to errors occurring during oral medication preparation and administration.

AIM

To implement a quality improvement programme to reduce the proportion of errors in oral medication preparation and administration through NGT/NET in adult patients.

METHODS

An observational study was carried out, comparing outcome measures before and after implementation of the integrated quality programme to improve oral medication preparation and administration through NGT/NET. A collaborative approach based on Plan-Do-Study-Act (PDSA) cycle was used and feedback was given during multidisciplinary meetings.

INTERVENTIONS

Good practice guidance for oral medication preparation and administration through NGT/NET was developed and implemented at the hospital sites; nurses were given formal training to use the good practice guidance; a printed list of oral medications that should never be crushed was provided to all members of the multidisciplinary team, and a printed table containing therapeutic alternatives for drugs that should never be crushed was provided to prescribers at the prescribing room.

RESULTS

Improvement was observed in the following measures: crushing enteric-coated tablets and mixing drugs during medication preparation (from 54.9% in phase I to 26.2% in phase II; p 0.0010) and triturating pharmaceutical form of modified action or dragee (from 32.8 in phase I to 19.7 in phase II; p 0.0010). Worsening was observed though in the following measures: crush compressed to a fine and homogeneous powder (from 7.4%% in phase I to 95% phase II; p 0.0010) and feeding tube obstruction (from 41.8% in phase I to 52.5% phase II; p 0.0950).

CONCLUSION

Our results highlight how a collaborative quality improvement approach based on PDSA cycles can meet the challenge of reducing the proportion of errors in oral medication preparation and administration through NGT/NET in adult patients. Some changes may lead to unintended consequences though. Thus, continuous monitoring for these consequences will help caregivers to prevent poor patient outcomes.

Patient Perspectives on the Usefulness of an Artificial Intelligence-Assisted Symptom Checker: Cross-Sectional Survey Study

Background

Patients are increasingly seeking Web-based symptom checkers to obtain diagnoses. However, little is known about the characteristics of the patients who use these resources, their rationale for use, and whether they find them accurate and useful.

Objective

The study aimed to examine patients’ experiences using an artificial intelligence (AI)–assisted online symptom checker.

Methods

An online survey was administered between March 2, 2018, through March 15, 2018, to US users of the Isabel Symptom Checker within 6 months of their use. User characteristics, experiences of symptom checker use, experiences discussing results with physicians, and prior personal history of experiencing a diagnostic error were collected.

Results

A total of 329 usable responses was obtained. The mean respondent age was 48.0 (SD 16.7) years; most were women (230/304, 75.7%) and white (271/304, 89.1%). Patients most commonly used the symptom checker to better understand the causes of their symptoms (232/304, 76.3%), followed by for deciding whether to seek care (101/304, 33.2%) or where (eg, primary or urgent care: 63/304, 20.7%), obtaining medical advice without going to a doctor (48/304, 15.8%), and understanding their diagnoses better (39/304, 12.8%). Most patients reported receiving useful information for their health problems (274/304, 90.1%), with half reporting positive health effects (154/302, 51.0%). Most patients perceived it to be useful as a diagnostic tool (253/301, 84.1%), as a tool providing insights leading them closer to correct diagnoses (231/303, 76.2%), and reported they would use it again (278/304, 91.4%). Patients who discussed findings with their physicians (103/213, 48.4%) more often felt physicians were interested (42/103, 40.8%) than not interested in learning about the tool’s results (24/103, 23.3%) and more often felt physicians were open (62/103, 60.2%) than not open (21/103, 20.4%) to discussing the results. Compared with patients who had not previously experienced diagnostic errors (missed or delayed diagnoses: 123/304, 40.5%), patients who had previously experienced diagnostic errors (181/304, 59.5%) were more likely to use the symptom checker to determine where they should seek care (15/123, 12.2% vs 48/181, 26.5%; P=.002), but they less often felt that physicians were interested in discussing the tool’s results (20/34, 59% vs 22/69, 32%; P=.04).

Conclusions

Despite ongoing concerns about symptom checker accuracy, a large patient-user group perceived an AI-assisted symptom checker as useful for diagnosis. Formal validation studies evaluating symptom checker accuracy and effectiveness in real-world practice could provide additional useful information about their benefit.

Clinical Determinants of Myocardial Injury, Detectable and Serial Troponin Levels among Patients with Hypertensive Crisis

Introduction There is a high prevalence of hypertensive crisis with myocardial injury, as evidenced by elevation in cardiac troponin levels. The risk factors predisposing patients to developing a myocardial injury, detectable troponin, and increase in serial troponin in this population are not known. Methods A retrospective study was designed to include all patients, presenting to the emergency room, diagnosed with hypertensive crisis, using International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes between 2016-2018 (n=467). Logistic regression was used to determine the important predictors of myocardial injury evidenced by troponin elevation >99th percentile of upper reference level (URL), detectable troponin (> 0.015 ng/ml), and increase in serial troponin levels. Results The 99th percentile of the initial troponin level among all patients was 0.433 ng/ml. A total of 15% had a myocardial injury, and the significant risk factors associated with it were body mass index (BMI) < 30 kg/m2 (odds ratio [OR] 0.50, confidence interval [CI] 0.28-0.89), congestive heart failure (CHF; OR 4.28, CI 2.21-8.25) and prior use of aspirin (OR 1.98, CI 1.08-3.63). About 35% had detectable troponin, and BMI < 30 kg/m2 (OR 0.62, CI 0.40-0.97), CHF (OR 3.49, CI 2.06-5.9), elevated creatinine (OR 1.17, CI 1.02-1.34) and age <61 years (OR 0.59, CI 0.38-0.94) were associated with it. The factors associated with an increase in serial troponin were BMI < 30 Kg/m2 (OR 0.56, CI 0.36-0.87), CHF (OR 1.78, CI 1.06-3.0), coronary artery disease (CAD; OR 2.08, CI 1.28-3.36) and non-Caucasian race (OR 0.52, CI 0.29-0.93). Conclusion About one-third of patients with the hypertensive crisis have detectable troponin. Still, among these, less than half have troponin levels >99th percentile URL, and the majority of these patients have minimal changes in serial troponin. Low BMI was associated with higher initial and serial troponin levels, and this obesity paradox was stronger among females and older patients.

Immunising' physicians against availability bias in diagnostic reasoning: a randomised controlled experiment

Background

Diagnostic errors have often been attributed to biases in physicians’ reasoning. Interventions to ‘immunise’ physicians against bias have focused on improving reasoning processes and have largely failed.

Objective

To investigate the effect of increasing physicians’ relevant knowledge on their susceptibility to availability bias.

Design, settings and participants

Three-phase multicentre randomised experiment with second-year internal medicine residents from eight teaching hospitals in Brazil.

Interventions

Immunisation: Physicians diagnosed one of two sets of vignettes (either diseases associated with chronic diarrhoea or with jaundice) and compared/contrasted alternative diagnoses with feedback. Biasing phase (1 week later): Physicians were biased towards either inflammatory bowel disease or viral hepatitis. Diagnostic performance test: All physicians diagnosed three vignettes resembling inflammatory bowel disease, three resembling hepatitis (however, all with different diagnoses). Physicians who increased their knowledge of either chronic diarrhoea or jaundice 1 week earlier were expected to resist the bias attempt.

Main outcome measurements

Diagnostic accuracy, measured by test score (range 0–1), computed for subjected-to-bias and not-subjected-to-bias vignettes diagnosed by immunised and not-immunised physicians.

Results

Ninety-one residents participated in the experiment. Diagnostic accuracy differed on subjected-to-bias vignettes, with immunised physicians performing better than non-immunised physicians (0.40 vs 0.24; difference in accuracy 0.16 (95% CI 0.05 to 0.27); p=0.004), but not on not-subjected-to-bias vignettes (0.36 vs 0.41; difference −0.05 (95% CI −0.17 to 0.08); p=0.45). Bias only hampered non-immunised physicians, who performed worse on subjected-to-bias than not-subjected-to-bias vignettes (difference −0.17 (95% CI −0.28 to −0.05); p=0.005); immunised physicians’ accuracy did not differ (p=0.56).

Conclusions

An intervention directed at increasing knowledge of clinical findings that discriminate between similar-looking diseases decreased physicians’ susceptibility to availability bias, reducing diagnostic errors, in a simulated setting. Future research needs to examine the degree to which the intervention benefits other disease clusters and performance in clinical practice.

Trial registration number

68745917.1.1001.0068.

Integrating Bayesian reasoning into medical education using smartphone apps

Background Diagnostic reasoning is an important topic in medical education, and diagnostic errors are increasingly recognized as large contributors to patient morbidity and mortality. One way to improve learner understanding of the diagnostic process is to teach the concepts of Bayesian reasoning and to make these concepts practical for clinical use. Many clinician educators do not fully understand Bayesian concepts and they lack the tools to incorporate Bayesian reasoning into clinical practice and teaching. Methods The authors developed an interactive workshop using visual models of probabilities and thresholds, clinical cases, and available smartphone apps to teach learners about Bayesian concepts. Results Evaluations from 3 years of workshops at a national internal medicine chief resident conference showed high satisfaction, with narrative comments suggesting learners found the visual and smartphone tools useful for applying the concepts with future learners. Conclusions Visual models, clinical cases, and smartphone apps were well received by chief residents as a way to learn and teach Bayesian reasoning. Further study will be needed to understand if these tools can improve diagnostic accuracy or patient outcomes.

What Makes Some Diseases More Typical than Others? A Survey on the Impact of Disease Characteristics and Professional Background on Disease Typicality

Health professionals tend to perceive some diseases as more typical than others. If disease typicalities have implications for health professionals or health policy makers' handling of different diseases, then it is of great social, epistemic, and ethical interest. Accordingly, it is important to find out what makes health professionals rank diseases as more or less typical. This study investigates the impact of various factors on how typical various diseases are perceived to be by health professionals. In particular, we study the influence of broad disease categories, such as somatic versus psychological/behavioral conditions, and a wide range of more specific disease characteristics, as well as the health professional's own background. We find that professional background strongly impacted disease typicality. All professionals (MD, RN, physiotherapists and psychologists) considered somatic conditions to be more typical than psychological/behavioral. As expected, psychologists also found psychological/behavioral conditions to be more typical than did other groups. Professions of respondents could be well predicted from their individual typicality judgments, with the exception of physiotherapists and nurses who had very similar judgment profiles. We also demonstrate how various disease characteristics impact typicality for the different professionals. Typicality showed moderate to strong positive correlations with condition severity and mortality, and only non-severe conditions were rated as atypical. Hence, studying how different disease characteristics and occupational background influences health professionals' perception of disease typicality is the first and important step toward a more general study of how typicality influences disease handling.

Provider Misinterpretation, Documentation, and Follow-Up of Definitive Urine Drug Testing Results

BACKGROUND

Urine drug testing (UDT) is an essential tool to monitor opioid misuse among patients on chronic opioid therapy. Inaccurate interpretation of UDT can have deleterious consequences. Providers' ability to accurately interpret and document UDT, particularly definitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) results, has not been widely studied.

OBJECTIVE

To examine whether providers correctly interpret, document, and communicate LC-MS/MS UDT results.

DESIGN

This is a retrospective chart review of 160 UDT results (80 aberrant; 80 non-aberrant) between August 2017 and February 2018 from 5 ambulatory clinics (3 primary care, 1 oncology, 1 pain management). Aberrant results were classified into one or more of the following categories: illicit drug use, simulated compliance, not taking prescribed medication, and taking a medication not prescribed. Accurate result interpretation was defined as concordance between the provider's documented interpretation and an expert laboratory toxicologist's interpretation. Outcome measures were concordance between provider and laboratory interpretation of UDT results, documentation of UDT results, results acknowledgement in the electronic health record, communication of results to the patient, and rate of prescription refills.

KEY RESULTS

Aberrant results were most frequently due to illicit drug use. Overall, only 88 of the 160 (55%) had any documented provider interpretations of which 25/88 (28%) were discordant with the laboratory toxicologist's interpretation. Thirty-six of the 160 (23%) documented communication of the results to the patient. Communicating results was more likely to be documented if the results were aberrant compared with non-aberrant (33/80 [41%] vs. 3/80 [4%], p < 0.001). In all cases where provider interpretations were discordant with the laboratory interpretation, prescriptions were refilled.

CONCLUSIONS

Erroneous provider interpretation of UDT results, infrequent documentation of interpretation, lack of communication of results to patients, and prescription refills despite inaccurate interpretations are common. Expert assistance with urine toxicology interpretations may be needed to improve provider accuracy when interpreting toxicology results.

Reducing delays to diagnosis in ambulatory care settings: A macrocognition perspective

We aim to use a macrocognition theoretical perspective to characterize contributors to diagnostic delays by physicians that can be mitigated by work system redesign. As experienced with other complex, sociotechnical domains, system redesign is anticipated to be more effective at improving safety than training-based solutions. In the outpatient care setting, complex tasks, conducted by a primary care provider, are provided for five macrocognition functions: sensemaking, re-planning, detecting problems, deciding, and coordinating. Redesigning systems could reduce delays to diagnosis by helping users to avoid missed symptoms, forgotten follow-up activities, and delayed actions. Health information technology could support resilience strategies by offloading documentation burdens, recording working diagnoses, displaying planned follow-up activities at the correct time interval, and supporting recognition of patterns in patient care. These insights suggest a path forward for future research on system design innovations to reduce diagnostic delays, and ultimately, reduce patient harm.

Road toward rapid-molecular point of care test to detect novel SARS-coronavirus 2019 (COVID-19): Review from updated literature

Coronavirus disease 2019 (COVID-19) named by the WHO as a result of the global public health emergency. COVID-19 is caused by a new coronavirus named as novel coronavirus (2019-nCOV). From the first case reported in December 2019 it is now a pandemic situation and a major public health emergency. The COVID-19 transmission rate is very high, infecting two to three persons on average with contact to an already infected person. There is a need for the health system, specially in developing countries such as in Pakistan, to combat such a novel disease by rapid, accurate, and high quality diagnostic testing in order to screen suspected cases and also surveillance of the disease. A rapid, accurate and low-cost diagnostic point-of-care device is needed for timely diagnosis of COVID-19 and is essential to combat such outbreaks for compelling preventive measures against the disease spread. This review is to highlight the importance of point-of-care diagnostics device for robust and accurate diagnosis of COVID-19 in physician offices and other urgent healthcare-type settings and encourage academics and stake holders towards advancement in order to control outbreaks and develop the public health surveillance system.

Exploring the association between extra-cardiac troponin elevations and risk of future mortality

Although the measurement of cardiac troponin I (cTnI) and T (cTnT) has now become the cornerstone for diagnosing cardiac injury, both ischemic and non-ischemic, recent evidence has become available that many patients display extra-cardiac causes of cTn elevations and carry a considerably enhanced risk of future mortality. The current literature data suggests that cTn elevations may be equally common in patients with cardiac and extra-cardiac diseases. Among the latter cohort of patients, the leading extra-cardiac diseases which may be responsible for either cTnI or cTnT elevations include infectious diseases/sepsis, pulmonary disorders, renal failure, malignancy, as well as gastrointestinal, neurological and musculoskeletal diseases. What also emerges rather clearly from the current literature data, is that the risk of dying for extra-cardiac diseases is higher (i.e., between two to three-fold) in patients with extra-cardiac cTn elevations than in those with cardiac pathologies, and that the most frequent cause of death would then be infections/sepsis, followed by malignancy, respiratory disorders, myocardial infarction, gastrointestinal and neurological diseases, heart failure, stroke, cardiac arrhythmias, renal failure, psychiatric, metabolic, urogenital and musculoskeletal disorders. These figures would lead to conclude that there is a considerable risk that the underlying pathology causing cardiac injury and cTn elevation would then become the cause of death in these patients. This important evidence shall lead the way to defining appropriate and effective strategies for managing patients with extra-cardiac cTn elevations, so that their risk of future death could be prevented or limited.

Assessing the Reliability of Reported Medical History in Older Adults

BACKGROUND

Age-associated increases in medical complexity, frailty, and cognitive impairment may compromise reliable reporting of medical history.

OBJECTIVE

To evaluate the influence of increasing age and cognitive impairment on concordance between reported history of stroke and cerebral infarction, and reported history of diabetes and elevated hemoglobinA1c in community-dwelling older adults.

METHODS

The association between participant-specific factors and accurate reporting of stroke or diabetes was evaluated using multivariable logistic regression in 1,401 participants enrolled in longitudinal studies of memory and aging, including 425 participants with dementia (30.3%). Stroke and diabetes were selected as index variables as gold standard measures of both were obtained in all participants: magnetic resonance neuroimaging for cerebral infarcts and hemoglobinA1c (≥6.5%) for diabetes.

RESULTS

Concordance between reported history of stroke and imaging-confirmed cerebral infarction was low (sensitivity: 17.4%, 8/46; specificity: 97.9%, 799/816). Small infarcts were strongly associated with inaccurate reporting (OR = 265.8; 95% CI: 86.2, 819.4), suggesting that occult/silent infarcts contributed to discordant reporting. Reporting accuracy was higher concerning diabetes (sensitivity: 83.5%, 147/176; specificity: 96.2%, 1100/1143). A history of hypertension (OR = 2.3; 95% CI: 1.3, 4.2), higher hemoglobinA1c (OR = 1.9; 95% CI: 1.5, 2.4), and hemoglobinA1c compatible with impaired glucose tolerance (OR = 3.1; 95% CI 1.8, 5.3) associated with increased odds of discordant reporting. Cognitive impairment and increased age were not independently associated with reliable reporting.

CONCLUSION

Factors beyond advancing age and cognitive impairment appear to drive discordance in reported medical history in older participants. Objective testing for cerebral infarcts or diabetes should be performed when relevant to diagnostic or therapeutic decisions in clinical and research settings.

Improved efficiency and cost reduction in the emergency department by replacing contemporary sensitive with high-sensitivity cardiac troponin immunoassay

BACKGROUND

Although unquestionable evidence has been provided that high-sensitive (HS) cardiac troponin (cTn) immunoassay outperform the former contemporary-sensitive techniques, some clinicians are still hesitant to implement HS methods in routine clinical practice. This study was hence planned to evaluate the impact of replacing a contemporary-sensitive with HS cTnI immunoassay on hospital and laboratory workload.

METHODS

Information on the total number of cTnI tests ordered, total number of blood samples collected, total number of CK-MB tests ordered, number of patients with the first HS-cTnI value below the limit of detection (LoD) and cumulative HS-cTnI values was extracted from the local hospital information system for the semesters before and after the HS method was introduced.

RESULTS

Although the total emergency department (ED) visits modestly increased after introducing HS-cTnI, the number of total cTnI tests declined by over 10%. A substantial reduction of single-sample test requests was noted, accompanied by a considerable decline of 3- and 4-sample collections (i.e., -61% and -73%, respectively). A high percentage of patients (27.5%) displayed HS-cTnI values

CONCLUSION

The results of this study show substantial organizational and economic benefits by replacing contemporary-sensitive with HS cTnI immunoassays. (www.actabiomedica.it).

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Key Words

• cardiac troponin
• high-sensitivity
• myocardial infarction
• acute coronary syndrome
• emergency department

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MESH Headings

• Acute Coronary Syndrome/blood
• Acute Coronary Syndrome/diagnosis
• Cost Savings
• Emergency Service, Hospital/economics
• Female
• Humans
• Immunoassay/economics
• Male
• Retrospective Studies
• Sensitivity and Specificity
• Troponin I/blood

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Affiliation(s)

Rosalia Aloe University Hospital of Parma.
Giuseppe Lippi
Martina Di Pietro
Laura Bonfanti
Mariella Dipalo
Ivan Comelli
Paola Avanzini
Fabian Sanchis-Gomar
Gianfranco Cervellin

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The early diagnosis of cancer in primary care: A qualitative exploration of the patient's role and acceptable safety-netting strategies

OBJECTIVES

The study had two aims-to assess the components considered important for patient involvement in diagnosing cancer earlier in primary care and to assess the acceptability, feasibility, cost and burden of three safety-netting interventions in terms of their potential to become a sustainable component of standard care and improve diagnostic outcomes for cancer in a primary care setting.

METHOD

Fifteen interviews were conducted with patients and GPs/Nurse Practitioners. Findings were fed back at a workshop with 18 stakeholders who helped to conceptualise an intervention. Interviews were analysed using thematic analysis. Stakeholder discussions were captured through group feedback sessions.

RESULTS

Three key themes around stakeholders' views on patient involvement emerged from the interviews. These were keeping the door open, roles and responsibilities and fear of cancer. Interview findings and workshop feedback identified the intervention should include a verbal discussion and plan, written information and a patient prompt option.

CONCLUSION

Patient involvement in diagnosing cancer in primary care is considered acceptable to patients and HCPs. Factors that facilitate or hinder involvement have been identified. Components deemed important in a safety-netting intervention, and potential costs and benefits were established. This knowledge can direct future research and the development of safety-netting interventions.

How do I … implement diagnostic management teams in transfusion medicine?

Diagnostic management teams (DMTs) were conceptualized approximately twenty years ago in response to increasing subspecialization in medicine. DMTs are a collaboration between diagnostic experts and clinicians that aim to improve accurate and timely diagnosis and treatment of disease. Diagnostic experts provide their expertise in the increasingly complex realm of laboratory testing and interpretation of those test results to guide appropriate test utilization for individual patients. Not only can this approach improve patient care and safety, but DMTs also decrease healthcare costs by reducing unnecessary testing and potential diagnostic errors. Following the DMT construct and principles along with the 2015 National Academy of Medicine recommendations, our transfusion medicine (TM) service streamlined the workup and management of platelet refractory (PR) patients by developing and implementing a formal PR laboratory consult. The goals of this DMT and consult are to improve diagnostic management of PR patients and to decrease delays in providing these patients with appropriate and compatible platelet units. A comprehensive interpretation of test results is directly uploaded to the patient's electronic medical record (EMR), which is associated with a CPT code allowing for compensation for the PR evaluation. Herein we describe the development of and experience with the DMT since its implementation.

A Review of Various Methods of Management of Risk in the Field of Emergency Medicine

BACKGROUND:

The main concept of risk management in the emergency department (ED) contains a broader meaning, so that; it’s known as a sudden event or situation which would happen at an uncertain future that has some negative or positive impacts which could be called threat or opportunity respectively. However, the knowledge of risk management could cover the overall procedures involved with administering the planning of risk management, identification, investigation, monitoring and also step by step clinical examination. One of the main tools for preventing adversities is evaluating and management of possible risks.

AIM:

One of the main objectives of the present study is recognising the most frequent types of the risk happening in the EDs. Moreover, the present study is trying to evaluate the possible risks which could happen among various ED sections.

METHODS:

Six databases of EMBASE, HubMed, Cochrane Library, MEDLINE, PubMed, CHBD and Goggle scholar were chosen for discovering much-related articles from the year 2005 to 2019. A total number of 68 were chosen finally to be reviewed more precisely based on the main objective of the present study.

RESULTS:

Precise planning, preparing sufficiently and conducting the process of continuous monitoring are needed for ensuring the fact that any possible risks could be managed through these planned strategies. On the other hand, by modifying the patients’ beliefs, anticipations and the available social culture about the importance of risk management issue, the overall objective of the present study could be achieved at higher rates.

CONCLUSION:

Moreover, because the potential of occurrence of risk in EDs is high and approximately more than half of them are fatal, more precise adequate systematic plans for management of them should result.

Understanding the roles of three academic communities in a prospective learning health ecosystem for diagnostic excellence

Inaccurate, untimely, and miscommunicated medical diagnoses represent a wicked problem requiring comprehensive and coordinated approaches, such as those demonstrated in the characteristics of learning health systems (LHSs). To appreciate a vision for how LHS methods can optimize processes and outcomes in medical diagnosis (diagnostic excellence), we interviewed 32 individuals with relevant expertise: 18 who have studied diagnostic processes using traditional behavioral science and health services research methods, six focused on machine learning (ML) and artificial intelligence (AI) approaches, and eight multidisciplinary researchers experienced in advocating for and incorporating LHS methods, ie, scalable continuous learning in health care. We report on barriers and facilitators, identified by these subjects, to applying their methods toward optimizing medical diagnosis. We then employ their insights to envision the emergence of a learning ecosystem that leverages the tools of each of the three research groups to advance diagnostic excellence. We found that these communities represent a natural fit forward, in which together, they can better measure diagnostic processes and close the loop of putting insights into practice. Members of the three academic communities will need to network and bring in additional stakeholders before they can design and implement the necessary infrastructure that would support ongoing learning of diagnostic processes at an economy of scale and scope.

Measures to Improve Diagnostic Safety in Clinical Practice

Timely and accurate diagnosis is foundational to good clinical practice and an essential first step to achieving optimal patient outcomes. However, a recent Institute of Medicine report concluded that most of us will experience at least one diagnostic error in our lifetime. The report argues for efforts to improve the reliability of the diagnostic process through better measurement of diagnostic performance. The diagnostic process is a dynamic team-based activity that involves uncertainty, plays out over time, and requires effective communication and collaboration among multiple clinicians, diagnostic services, and the patient. Thus, it poses special challenges for measurement. In this paper, we discuss how the need to develop measures to improve diagnostic performance could move forward at a time when the scientific foundation needed to inform measurement is still evolving. We highlight challenges and opportunities for developing potential measures of "diagnostic safety" related to clinical diagnostic errors and associated preventable diagnostic harm. In doing so, we propose a starter set of measurement concepts for initial consideration that seem reasonably related to diagnostic safety and call for these to be studied and further refined. This would enable safe diagnosis to become an organizational priority and facilitate quality improvement. Health-care systems should consider measurement and evaluation of diagnostic performance as essential to timely and accurate diagnosis and to the reduction of preventable diagnostic harm.

Diagnostic errors in the neonatal intensive care unit: State of the science and new directions

Diagnostic errors remain understudied in neonatology. The limited available evidence, however, suggests that diagnostic errors in the neonatal intensive care unit (NICU) result in significant and long-term consequences. In this narrative review, we discuss how the concept of diagnostic errors framed as missed opportunities can be applied to the non-linear nature of diagnosis in a critical care environment such as the NICU. We then explore how the etiology of an error in diagnosis can be related to both individual cognitive factors as well as organizational and systemic factors - all of which often contribute to the error. This multifactorial causation has limited the development of methodology to measure diagnostic errors as well as strategies to mitigate and prevent their adverse effects. We recommend research focused on the frequency and etiology of diagnostic error in the NICU as well as potential mitigation strategies to advance this important field in neonatal intensive care.

Suggestions for designing studies investigating diagnostic accuracy of biomarkers

The number of diagnostic test accuracy (DTA) studies concerning biomarkers have gradually increased during the past years. However, study designs remain imperfect, and the statistical methods used are not meaningful in some published studies. Here, we introduce recommendations for designing DTA studies, including consecutive enrollment of participants with uniform inclusion and exclusion criteria, blinded testing and interpretation, prespecified thresholds, and the use of one reference standard for all subjects. In addition, we also describe more relevant statistical methods in DTA studies, including decision curve analysis (DCA), nomograms, diagnostic model and scale, net reclassification index (NRI), and the integrated discriminatory index (IDI). This review may help clinicians to better design DTA studies that investigating biomarkers.

Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis

Objective

Mobile applications for improving diagnostic decision making often lack clinical evaluation. We evaluated if a mobile application improves generalist physicians' appropriate laboratory test ordering and diagnosis decisions and assessed if physicians perceive it as useful for learning.

Methods

In an experimental, vignette study, physicians diagnosed 8 patient vignettes with normal prothrombin times (PT) and abnormal partial thromboplastin times (PTT). Physicians made test ordering and diagnosis decisions for 4 vignettes using each resource: a mobile app, PTT Advisor, developed by the Centers for Disease Control and Prevention (CDC)'s Clinical Laboratory Integration into Healthcare Collaborative (CLIHC); and usual clinical decision support. Then, physicians answered questions regarding their perceptions of the app's usefulness for diagnostic decision making and learning using a modified Kirkpatrick Training Evaluation Framework.

Results

Data from 368 vignettes solved by 46 physicians at 7 US health care institutions show advantages for using PTT Advisor over usual clinical decision support on test ordering and diagnostic decision accuracy (82.6 vs 70.2% correct; P < .001), confidence in decisions (7.5 vs 6.3 out of 10; P < .001), and vignette completion time (3:02 vs 3:53 min.; P = .06). Physicians reported positive perceptions of the app's potential for improved clinical decision making, and recommended it be used to address broader diagnostic challenges.

Conclusions

A mobile app, PTT Advisor, may contribute to better test ordering and diagnosis, serve as a learning tool for diagnostic evaluation of certain clinical disorders, and improve patient outcomes. Similar methods could be useful for evaluating apps aimed at improving testing and diagnosis for other conditions.

Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design

Background

According to the September 2015 Institute of Medicine report, Improving Diagnosis in Health Care, each of us is likely to experience one diagnostic error in our lifetime, often with devastating consequences. Traditionally, diagnostic decision making has been the sole responsibility of an individual clinician. However, diagnosis involves an interaction among interprofessional team members with different training, skills, cultures, knowledge, and backgrounds. Moreover, diagnostic error is prevalent in the interruption-prone environment, such as the emergency department, where the loss of information may hinder a correct diagnosis.

Objective

The overall purpose of this protocol is to improve team-based diagnostic decision making by focusing on data analytics and informatics tools that improve collective information management.

Methods

To achieve this goal, we will identify the factors contributing to failures in team-based diagnostic decision making (aim 1), understand the barriers of using current health information technology tools for team collaboration (aim 2), and develop and evaluate a collaborative decision-making prototype that can improve team-based diagnostic decision making (aim 3).

Results

Between 2019 to 2020, we are collecting data for this study. The results are anticipated to be published between 2020 and 2021.

Conclusions

The results from this study can shed light on improving diagnostic decision making by incorporating diagnostics rationale from team members. We believe a positive direction to move forward in solving diagnostic errors is by incorporating all team members, and using informatics.

International Registered Report Identifier (IRRID)

DERR1-10.2196/16047

Lessons in clinical reasoning – pitfalls, myths, and pearls: a case of chest pain and shortness of breath

Background

Defects in human cognition commonly result in clinical reasoning failures that can lead to diagnostic errors. A metacognitive structured reflection on what clinical findings fit and/or do not fit with likely and “can’t miss” diagnoses may reduce such errors.

Case presentation

A 57-year-old man was sent to the emergency department from clinic with chest pain, severe shortness of breath, weakness, and cold sweats. Further investigation revealed multiple risk factors for coronary artery disease, sudden onset of exertional dyspnea, and chest pain that incompletely resolved with rest, mild tachycardia and hypoxia, an abnormal electrocardiogram (ECG), elevated serum cardiac biomarkers, and elevated B-type natriuretic peptide (BNP) in the absence of left-sided heart failure. He was treated for acute coronary syndrome (ACS), discharged, and quickly returned with worsening symptoms that eventually led to a diagnosis of submassive pulmonary embolism (PE).

Conclusions

Through integrated commentary on the diagnostic reasoning process from clinical reasoning experts at two institutions, this case underscores the importance of frequent assessment of fit along with explicit explanation of dissonant features in order to avoid premature closure and diagnostic error. A fishbone diagram is provided to visually demonstrate the major factors that contributed to the diagnostic error. A case discussant describes the importance of diagnostic schema as an analytic reasoning strategy to assist in the creation of a differential diagnosis, problem representation to summarize updated findings, a Popperian analytic approach of attempting to falsify less-likely hypotheses, and matching pertinent positives and negatives to previously learned illness scripts. Finally, this case provides clinical teaching points in addition to a pitfall, myth, and pearl specific to premature closure.

Integrity of serum samples is changed by modified centrifugation conditions

Background Serum samples should be centrifuged for at least 10 min at 1300-2500 × g. Changed centrifugation conditions could compromise sample quality. The objective of this study was to compare the serum quality and turnaround time (TAT) using different centrifugation conditions. Methods The study was done in four different periods (A, B, C and D) at different conditions: for 10, 5 and 7 (A, B and C, respectively) at 2876 × g, and 7 (D) min at 4141 × g. Sample quality was assessed as the proportion of samples with: (a) aspiration errors, (b) H index >0.5 g/L and (c) suppressed reports of potassium (K) due to hemolysis. TAT was calculated for emergency samples. The proportions of samples (a), (b) and (c) were compared according to period A. Results The number of aspiration errors was significantly higher in samples centrifuged at 2876 × g for 5 min (p = 0.021) and remained unchanged when centrifuged for 7 min (p = 0.066 and 0.177, for periods C and D, respectively). In periods B, C and D, the proportion of samples with hemolysis was higher than that in period A (p-values 0.039, 0.009 and 0.042, respectively). TAT differed between all periods (p < 0.001), with the lowest TAT observed for B and D. The lowest number of samples exceeding 60-min TAT was observed in period D (p = 0.011). Conclusions The integrity of serum samples is changed with different centrifugation conditions than those recommended. Our study showed that shorter centrifugation at higher force (7 min at 4141 × g) significantly decreases TAT, with unchanged proportion of samples with aspiration errors.

PREDICT: a checklist for preventing preanalytical diagnostic errors in clinical trials

Although the importance of guaranteeing a high level of preanalytical quality in routine diagnostic testing has already been largely acknowledged over the past decades, minor emphasis is currently being placed on the fact that accurate performance and standardization of many preanalytical activities are also necessary prerogatives of clinical trials. Reliable evidence exists that clear indications on how to manage the different preanalytical steps are currently lacking in many clinical trials protocols, nor have detailed authoritative documents been published or endorsed on this matter to the best of our knowledge. To fill this gap, the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group for Preanalytical Phase (WG-PRE) will provide here a specific checklist for preventing preanalytical diagnostic errors in clinical trials (PREDICT), especially focused on covering the most important preanalytical aspects of blood sample management in clinical studies, and thus encompassing test selection, patient preparation, sample collection, management and storage, sample transportation, as well as specimen retrieval before testing. The WG-PRE members sincerely hope that these recommendations will provide a useful contribution for increasing the success rate in clinical trials.

The terminology of clinical reasoning in health professions education: Implications and considerations

Introduction: Clinical reasoning is considered to be at the core of health practice. Here, we report on the diversity and inferred meanings of the terms used to refer to clinical reasoning and consider implications for teaching and assessment. Methods: In the context of a Best Evidence Medical Education (BEME) review of 625 papers drawn from 18 health professions, we identified 110 terms for clinical reasoning. We focus on iterative categorization of these terms across three phases of coding and considerations for how terminology influences educational practices. Results: Following iterative coding with 5 team members, consensus was possible for 74, majority coding was possible for 16, and full team disagreement existed for 20 terms. Categories of terms included: purpose/goal of reasoning, outcome of reasoning, reasoning performance, reasoning processes, reasoning skills, and context of reasoning. Discussion: Findings suggest that terms used in reference to clinical reasoning are non-synonymous, not uniformly understood, and the level of agreement differed across terms. If the language we use to describe, to teach, or to assess clinical reasoning is not similarly understood across clinical teachers, program directors, and learners, this could lead to confusion regarding what the educational or assessment targets are for "clinical reasoning."

The Benefits of an Augmented Reality Magic Mirror System for Integrated Radiology Teaching in Gross Anatomy

Early exposure to radiological cross-section images during introductory anatomy and dissection courses increases students' understanding of both anatomy and radiology. Novel technologies such as augmented reality (AR) offer unique advantages for an interactive and hands-on integration with the student at the center of the learning experience. In this article, the benefits of a previously proposed AR Magic Mirror system are compared to the Anatomage, a virtual dissection table as a system for combined anatomy and radiology teaching during a two-semester gross anatomy course with 749 first-year medical students, as well as a follow-up elective course with 72 students. During the former, students worked with both systems in dedicated tutorial sessions which accompanied the anatomy lectures and provided survey-based feedback. In the elective course, participants were assigned to three groups and underwent a self-directed learning session using either Anatomage, Magic Mirror, or traditional radiology atlases. A pre- and posttest design with multiple choice questions revealed significant improvements in test scores between the two tests for both the Magic Mirror and the group using radiology atlases, while no significant differences in test scores were recorded for the Anatomage group. Furthermore, especially students with low mental rotation test (MRT) scores benefited from the Magic Mirror and Anatomage and achieved significantly higher posttest scores compared to students with a low MRT score in the theory group. Overall, the results provide supporting evidence that the Magic Mirror system achieves comparable results in terms of learning outcome to established anatomy learning tools such as Anatomage and radiology atlases.

Updates to referring clinicians regarding critically ill children admitted to the pediatric intensive care unit: a state-wide survey

Background Front-line clinicians are expected to make accurate and timely diagnostic decisions before transferring patients to the pediatric intensive care unit (PICU) but may not always learn their patients' outcomes. We evaluated the characteristics of post-transfer updates received by referring clinicians regarding PICU patients and determined preferences regarding content, delivery, and timing of such updates. Methods We administered an electronic cross-sectional survey to Iowa clinicians who billed for ≥5 pediatric patients or referred ≥1 patient to the University of Iowa (UI) PICU in the year before survey administration. Results One hundred and one clinicians (51 non-UI, 50 UI-affiliated) responded. Clinicians estimated that, on average, 8% of pediatric patients they saw over 1 year required PICU admission; clinicians received updates on 40% of patients. Seventy percent of UI clinicians obtained updates via self-initiated electronic record review, while 37% of non-UI clinicians relied on PICU communication (p = 0.013). Clinicians indicated that updates regarding diagnoses/outcomes will be most relevant to their practice. Among clinicians who received updates, 13% received unexpected information; 40% changed their practice as a result. Conclusions Clinicians received updates on less than half of the patients they referred to a PICU, although such updates could potentially influence clinical practice. Study findings will inform the development of a formal feedback system from the PICU to referring clinicians.

Clinical Expertise Is Core to an Evidence-Based Approach to Auditory Processing Disorder: A Reply to Neijenhuis et al. 2019

The opinion article "An Evidence-based Perspective on Misconceptions Regarding Pediatric Auditory Processing Disorder" by Neijenhuis et al. (1) presents a distorted view of the evidence-based approach used in medicine. The authors focus on the amorphous non-diagnostic entity "listening difficulties" not auditory processing disorder (APD) and create confusion that could jeopardize clinical services to individuals with APD. In our perspective article, we rebut Neijenhuis et al. (1), and more importantly, we present a rationale for evidence-based practice founded on the premise that research on APD is only clinically applicable when conducted on clinical populations diagnosed with APD.

Reflection Of Reflections: Building Diagnostic Expertise

The ability to make a correct diagnosis is one of the physicians’ core competencies. In view of continuous medical education, the way to establish and maintain this expertise has been explored. Reflection has been reported to serve as an effective measure of remediating individual diagnostic skill. This article highlights three reflections which are reflection in action, reflection on action, and reflection for action, evidenced by past reports. Applying these reflections allows physicians to revisit the link between fundamental and interdisciplinary medical knowledge in conjunction with prior experience, thereby developing enhanced levels of diagnostic expertise and mastery.

Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests

IMPORTANCE

Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but a systematic method to identify these unnecessary tests in individual cases is lacking.

OBJECTIVE

To systematically identify low-yield inpatient laboratory testing through personalized predictions.

DESIGN, SETTING, AND PARTICIPANTS

In this retrospective diagnostic study with multivariable prediction models, 116 637 inpatients treated at Stanford University Hospital from January 1, 2008, to December 31, 2017, a total of 60 929 inpatients treated at University of Michigan from January 1, 2015, to December 31, 2018, and 13 940 inpatients treated at the University of California, San Francisco from January 1 to December 31, 2018, were assessed.

MAIN OUTCOMES AND MEASURES

Diagnostic accuracy measures, including sensitivity, specificity, negative predictive values (NPVs), positive predictive values (PPVs), and area under the receiver operating characteristic curve (AUROC), of machine learning models when predicting whether inpatient laboratory tests yield a normal result as defined by local laboratory reference ranges.

RESULTS

In the recent data sets (July 1, 2014, to June 30, 2017) from Stanford University Hospital (including 22 664 female inpatients with a mean [SD] age of 58.8 [19.0] years and 22 016 male inpatients with a mean [SD] age of 59.0 [18.1] years), among the top 20 highest-volume tests, 792 397 were repeats of orders within 24 hours, including tests that are physiologically unlikely to yield new information that quickly (eg, white blood cell differential, glycated hemoglobin, and serum albumin level). The best-performing machine learning models predicted normal results with an AUROC of 0.90 or greater for 12 stand-alone laboratory tests (eg, sodium AUROC, 0.92 [95% CI, 0.91-0.93]; sensitivity, 98%; specificity, 35%; PPV, 66%; NPV, 93%; lactate dehydrogenase AUROC, 0.93 [95% CI, 0.93-0.94]; sensitivity, 96%; specificity, 65%; PPV, 71%; NPV, 95%; and troponin I AUROC, 0.92 [95% CI, 0.91-0.93]; sensitivity, 88%; specificity, 79%; PPV, 67%; NPV, 93%) and 10 common laboratory test components (eg, hemoglobin AUROC, 0.94 [95% CI, 0.92-0.95]; sensitivity, 99%; specificity, 17%; PPV, 90%; NPV, 81%; creatinine AUROC, 0.96 [95% CI, 0.96-0.97]; sensitivity, 93%; specificity, 83%; PPV, 79%; NPV, 94%; and urea nitrogen AUROC, 0.95 [95% CI, 0.94, 0.96]; sensitivity, 87%; specificity, 89%; PPV, 77%; NPV 94%).

CONCLUSIONS AND RELEVANCE

The findings suggest that low-yield diagnostic testing is common and can be systematically identified through data-driven methods and patient context-aware predictions. Implementing machine learning models appear to be able to quantify the level of uncertainty and expected information gained from diagnostic tests explicitly, with the potential to encourage useful testing and discourage low-value testing that incurs direct costs and indirect harms.

DOAC-Remove abolishes the effect of direct oral anticoagulants on activated protein C resistance testing in real-life venous thromboembolism patients

Background

Direct oral anticoagulants (DOACs) may cause false results of activated protein C resistance (APC-R) ratio. DOAC-Remove, a new reagent based on activated carbon, has been designed to eliminate the interference of DOACs on coagulation assays. The aim of the study was to investigate whether the use of DOAC-Remove enables to determine APC-R in patients treated with DOACs.

Methods

We assessed 74 venous thromboembolism (VTE) patients, including 25 on rivaroxaban, 25 on apixaban and 24 taking dabigatran. APC-R was determined using the Russell Viper Venom Time (RVVT)-based clotting test. APC-R and DOAC concentrations were tested at baseline and following DOAC-Remove. Thrombophilia, including factor V Leiden (FVL) mutation was tested.

Results

FVL mutation was found in 20 (27%) patients. The APC-R ratio at baseline was measurable in 43 patients (58.1%), including 20 (80%) on rivaroxaban, 19 (76%) on apixaban and four (16.7%) on dabigatran. In patients with measurable APC-R at baseline, the ratio >2.9 was found in 23 patients (53.5%). In 16 (37.2%) subjects APC-R ratio <1.8 suggested FVL mutation which was genetically confirmed. Four (9.3%) FVL carriers on dabigatran showed negative/equivocal APC-R results. In 11 (14.9%) patients taking rivaroxaban or apixaban, in whom blood was collected 2–5 h since the last dose, we observed unmeasurable APC-R. DOAC-Remove almost completely eliminated all plasma DOACs. After addition of DOAC-Remove all APC-R ratios were measurable. In four FVL carriers on dabigatran with false negative APC-R, DOAC-Remove resulted in APC-R ratios <1.8.

Conclusions

DOAC-Remove effectively reduces DOACs concentration in plasma, which enables FVL testing using APC-R.

Medical decision support systems based on Fuzzy Cognitive Maps

This paper determines the risk for cardiovascular diseases (CVDs), and nutrition level in infants aged 0–6 months using Fuzzy Cognitive Maps (FCMs). The aim of this study is to facilitates the medical experts to early detects these diseases with accuracy, so that overall death ratio can be reduced. Firstly, we have introduced the concepts of FCMs and briefly refer to the applications of these methods in medical. After that, two intelligent decision support systems for cardiovascular and malnutrition are developed using FCMs. The proposed cardiovascular risk assessment system takes six inputs: chest pain, cholesterol, heart rate, blood pressure, blood sugar, and old peak and determines CVDs risk. The second decision support system of malnutrition diagnosis takes twelve inputs: breastfeeding, daily income, maternal education, colostrum intake, energy intake, protein intake, vitamin A intake, iron intake, family size, height, weight, head circumference, and skin fold thickness and diagnoses the nutrition level in infants. We have explained the working of both decision support systems using case studies.

Chest pain in the ambulance; prevalence, causes and outcome - a retrospective cohort study

BACKGROUND

Chest pain is common in acute ambulance transports. This study aims to characterize and compare ambulance-transported chest pain patients to non-chest pain patients and evaluate if patient characteristics and accompanying symptoms accessible at the time of emergency call can predict cause and outcome in chest pain patients.

METHODS

Retrospective, observational population-based study, including acute ambulance transports. Patient characteristics and symptoms are included in a multivariable risk model to identify characteristics, associated with being discharged without an acute cardiac diagnosis and surviving 30 days after chest pain event.

RESULTS

In total, 10,033 of 61,088 (16.4%) acute ambulance transports were due to chest pain. In chest pain patients, 30-day mortality was 2.1% (95%CI 1.8-2.4) compared to 6.0% (95%CI 5.7-6.2) in non-chest pain patients. Of chest pain patients, 1054 (10.5%) were diagnosed with acute myocardial infarction, and 5068 (50.5%) were discharged without any diagnosis of disease. This no-diagnosis group had very low 30-day mortality, 0.4% (95%CI 0.2-0.9). Female gender, younger age, chronic pulmonary disease, absence of accompanying symptoms of dyspnoea, radiation, severe pain for > 5 min, clammy skin, uncomfortable, and nausea were associated with being discharged without an acute cardiac diagnosis and surviving 30 days after a chest pain event.

CONCLUSION

Chest pain is a common reason for ambulance transport, but the majority of patients are discharged without a diagnosis and with a high survival rate. Early risk prediction seems to hold a potential for resource downgrading and thus cost-saving in selected chest pain patients.

Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers

Background

Diagnostic errors cause substantial preventable harm, but national estimates vary widely from 40,000 to 4 million annually. This cross-sectional analysis of a large medical malpractice claims database was the first phase of a three-phase project to estimate the US burden of serious misdiagnosis-related harms.

Methods

We sought to identify diseases accounting for the majority of serious misdiagnosis-related harms (morbidity/mortality). Diagnostic error cases were identified from Controlled Risk Insurance Company (CRICO)’s Comparative Benchmarking System (CBS) database (2006–2015), representing 28.7% of all US malpractice claims. Diseases were grouped according to the Agency for Healthcare Research and Quality (AHRQ) Clinical Classifications Software (CCS) that aggregates the International Classification of Diseases diagnostic codes into clinically sensible groupings. We analyzed vascular events, infections, and cancers (the “Big Three”), including frequency, severity, and settings. High-severity (serious) harms were defined by scores of 6–9 (serious, permanent disability, or death) on the National Association of Insurance Commissioners (NAIC) Severity of Injury Scale.

Results

From 55,377 closed claims, we analyzed 11,592 diagnostic error cases [median age 49, interquartile range (IQR) 36–60; 51.7% female]. These included 7379 with high-severity harms (53.0% death). The Big Three diseases accounted for 74.1% of high-severity cases (vascular events 22.8%, infections 13.5%, and cancers 37.8%). In aggregate, the top five from each category (n = 15 diseases) accounted for 47.1% of high-severity cases. The most frequent disease in each category, respectively, was stroke, sepsis, and lung cancer. Causes were disproportionately clinical judgment factors (85.7%) across categories (range 82.0–88.8%).

Conclusions

The Big Three diseases account for about three-fourths of serious misdiagnosis-related harms. Initial efforts to improve diagnosis should focus on vascular events, infections, and cancers.

Structured case reviews for organizational learning about diagnostic vulnerabilities: initial experiences from two medical centers

Background

An organization’s ability to identify and learn from opportunities for improvement (OFI) is key to increasing diagnostic safety. Many lack effective processes required to capitalize on these learning opportunities. We describe two parallel attempts at creating such a process and identifying generalizable lessons and learn from them.

Methods

Triggered case review programs were created independently at two organizations, Site 1 (Regions Hospital, HealthPartners, Saint Paul, MN, USA) and site 2 (University of California, San Diego). Both used a five-step process to create the review system and provide feedback: (1) identify trigger criteria; (2) establish a review panel; (3) develop a system to conduct reviews; (4) perform reviews; and (5) provide feedback.

Results

Site 1 identified 112 OFI in 184 case reviews (61%), with 66 (59%) provider OFI and 46 (41%) system OFI. Site 2 focused mainly on systems OFI identifying 105 OFI in 346 cases (30%). Opportunities at both sites were variable; common themes included test result management and communication across teams in peri-procedural care and with consultants. Of provider-initiated reviews, 67% of cases had an OFI at site 1 and 87% at site 2.

Conclusions

Lessons learned include the following: (1) peer review of cases provides opportunities to learn and calibrate diagnostic and management decisions at an organizational level; (2) sharing cases in review groups supports a culture of open discussion of OFIs; (3) reviews focused on diagnostic safety identify opportunities that may complement other organization-wide review opportunities.

Clinical reasoning in the emergency medical services: an integrative review

Clinical reasoning is the process of gathering and understanding information conducted by clinicians in the emergency medical services (EMS) so as to make informed decisions. Research on clinical reasoning spans several disciplines, but a comprehensive view of the process is lacking. To our knowledge, no review of clinical reasoning in the EMS has been conducted.

AIM

The aim was to investigate the nature, deployment, and factors influencing EMS clinicians' clinical reasoning by means of a review.

METHOD

Data was collected through searches in electronic databases, networking among research teams, colleagues and friends, "grey literature," and through ancestry searches. A total of 38 articles were deemed eligible for inclusion and were analyzed using descriptive thematic analysis. The analysis resulted in an overarching finding - namely, the importance for EMS clinicians to adjust for perceived control in unpredictable situations. Within this finding, 3 themes emerged in terms of EMS clinicians' clinical reasoning: (1) maintaining a holistic view of the patient; (2) keeping an open mind; and (3) improving through criticism. Seven subthemes subsequently emerged from these three themes.

RESULTS

This review showed that EMS clinicians' clinical reasoning begins with the information that they are given about a patient. Based on this information, clinicians calculate the best route to the patient and which equipment to use, and they also assess potential risks. They need to be constantly aware of what is happening on the scene and with the patient and strive to control the situation. This striving also enables EMS clinicians to work safely and effectively in relation to the patient, their relatives, other clinicians, associated organizations, and the wider community. A lack of contextually appropriate guidelines results in the need for creativity and forces EMS clinicians to use "workarounds" to solve issues beyond the scope of the guidelines available. In addition, they often lack organizational support and fear repercussions such as litigation, unemployment, or blame by their EMS or healthcare organization or by patients and relatives.

CONCLUSION

Clinical reasoning is influenced by several factors. Further research is needed to determine which influencing factors can be addressed through interventions to minimize their impact on patient outcomes.