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Developing checklists to prevent diagnostic error in Emergency Room settings.

ABSTRACT: Checklists have been shown to improve performance of complex, error-prone processes. To develop a checklist with potential to reduce the likelihood of diagnostic error for patients presenting to the Emergency Room (ER) with undiagnosed conditions.Participants included 15 staff ER physicians working in two large academic centers. A rapid cycle design and evaluation process was used to develop a general checklist for high-risk situations vulnerable to diagnostic error. Physicians used the general checklists and a set of symptom-specific checklists for a period of 2 months. We conducted a mixed methods evaluation that included interviews regarding user perceptions and quantitative assessment of resource utilization before and after checklist use.A general checklist was developed iteratively by obtaining feedback from users and subject matter experts, and was trialed along with a set of specific checklists in the ER. Both the general and the symptom-specific checklists were judged to be helpful, with a slight preference for using symptom-specific lists. Checklist use commonly prompted consideration of additional diagnostic possibilities, changed the working diagnosis in approximately 10% of cases, and anecdotally was thought to be helpful in avoiding diagnostic errors. Checklist use was prompted by a variety of different factors, not just diagnostic uncertainty. None of the physicians used the checklists in collaboration with the patient, despite being encouraged to do so. Checklist use did not prompt large changes in test ordering or consultation.In the ER setting, checklists for diagnosis are helpful in considering additional diagnostic possibilities, thus having potential to prevent diagnostic errors. Inconsistent usage and using the checklists privately, instead of with the patient, are factors that may detract from obtaining maximum benefit. Further research is needed to optimize checklists for use in the ER, determine how to increase usage, to evaluate the impact of checklist utilization on error rates and patient outcomes, to determine how checklist usage affects test ordering and consultation, and to compare checklists generally with other approaches to reduce diagnostic error.

SUBMITTER: Graber ML

PROVIDER: S-EPMC4799784 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

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Developing checklists to prevent diagnostic error in Emergency Room settings.

Graber Mark L ML Sorensen Asta V AV Biswas Jon J Modi Varsha V Wackett Andrew A Johnson Scott S Lenfestey Nancy N Meyer Ashley N D AN Singh Hardeep H

Diagnosis (Berlin, Germany) 20140619 3

<h4>Background</h4>Checklists have been shown to improve performance of complex, error-prone processes. To develop a checklist with potential to reduce the likelihood of diagnostic error for patients presenting to the Emergency Room (ER) with undiagnosed conditions.<h4>Methods</h4>Participants included 15 staff ER physicians working in two large academic centers. A rapid cycle design and evaluation process was used to develop a general checklist for high-risk situations vulnerable to diagnostic ...[more]

PMID: 27006889

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Project description:BackgroundDiagnostic errors occur frequently, especially in the emergency room. Estimates about the consequences of diagnostic error vary widely and little is known about the factors predicting error. Our objectives thus was to determine the rate of discrepancy between diagnoses at hospital admission and discharge in patients presenting through the emergency room, the discrepancies' consequences, and factors predicting them.MethodsProspective observational clinical study combined with a survey in a University-affiliated tertiary care hospital. Patients' hospital discharge diagnosis was compared with the diagnosis at hospital admittance through the emergency room and classified as similar or discrepant according to a predefined scheme by two independent expert raters. Generalized linear mixed-effects models were used to estimate the effect of diagnostic discrepancy on mortality and length of hospital stay and to determine whether characteristics of patients, diagnosing physicians, and context predicted diagnostic discrepancy.Results755 consecutive patients (322 [42.7%] female; mean age 65.14?years) were included. The discharge diagnosis differed substantially from the admittance diagnosis in 12.3% of cases. Diagnostic discrepancy was associated with a longer hospital stay (mean 10.29 vs. 6.90?days; Cohen's d 0.47; 95% confidence interval 0.26 to 0.70; P =?0.002) and increased patient mortality (8 (8.60%) vs. 25(3.78%); OR 2.40; 95% CI 1.05 to 5.5 P =?0.038). A factor available at admittance that predicted diagnostic discrepancy was the diagnosing physician's assessment that the patient presented atypically for the diagnosis assigned (OR 3.04; 95% CI 1.33-6.96; P =?0.009).ConclusionsDiagnostic discrepancies are a relevant healthcare problem in patients admitted through the emergency room because they occur in every ninth patient and are associated with increased in-hospital mortality. Discrepancies are not readily predictable by fixed patient or physician characteristics; attention should focus on context.Trial registrationhttps://bmjopen.bmj.com/content/6/5/e011585.

Project description:BackgroundPregnancy complications can be unpredictable and many women in developing countries cannot access health facilities where life-saving care is available. This study assesses the effects of referral interventions that enable pregnant women to reach health facilities during an emergency, after the decision to seek care is made.Methods and findingsSelected bibliographic databases were searched with no date or language restrictions. Randomised controlled trials and quasi experimental study designs with a comparison group were included. Outcomes of interest included maternal and neonatal mortality and other intermediate measures such as service utilisation. Two reviewers independently selected, appraised, and extracted articles using predefined fields. Forest plots, tables, and qualitative summaries of study quality, size, and direction of effect were used for analysis. Nineteen studies were included. In South Asian settings, four studies of organisational interventions in communities that generated funds for transport reduced neonatal deaths, with the largest effect seen in India (odds ratio 0·48 95% CI 0·34-0·68). Three quasi experimental studies from sub-Saharan Africa reported reductions in stillbirths with maternity waiting home interventions, with one statistically significant result (OR 0.56 95% CI 0.32-0.96). Effects of interventions on maternal mortality were unclear. Referral interventions usually improved utilisation of health services but the opposite effect was also documented. The effects of multiple interventions in the studies could not be disentangled. Explanatory mechanisms through which the interventions worked could not be ascertained.ConclusionsCommunity mobilisation interventions may reduce neonatal mortality but the contribution of referral components cannot be ascertained. The reduction in stillbirth rates resulting from maternity waiting homes needs further study. Referral interventions can have unexpected adverse effects. To inform the implementation of effective referral interventions, improved monitoring and evaluation practices are necessary, along with studies that develop better understanding of how interventions work.

Project description:Background: Emergency rooms (ERs) overcrowded by older adults have been the focus of public health policies during the recent COVID-19 outbreak too. This phenomenon needed a change in the nursing care of older frail people. Health policies have tried to mitigate the frequent use of ER by implementing community care to meet the care demands of older adults. The present study aimed to investigate the predictors of emergency room access (ERA) and not-urgent emergency room access (NUERA) of community-dwelling frail older adults in order to provide an indication for out-of-hospital care services. Method: Secondary analysis of an observational longitudinal cohort study was carried out. The cohort consisted of 1,246 community-dwelling frail older adults (over 65 years) in the Latium region in Italy. The ER admission rate was assessed over 3 years from the administration of the functional geriatric evaluation (FGE) questionnaire. The ordinal regression model was used to identify the predictors of ERA and NUERA. Moreover, the ERA and NUERA rate per 100 observations/year was analyzed. Results: The mean age was 73.6 (SD ± 7.1) years, and 53.4% were women. NUERAs were the 39.2% of the ERAs; robust and pre-frail individuals (79.3% of the sample) generated more than two-third of ERAs (68.17%), even if frails and very frails showed the higher ER rates per observation/year. The ordinal logistic regression model highlighted a predictive role on ERAs of comorbidity (OR = 1.13, p < 0.001) and frailty level (OR = 1.29; p < 0.001). Concerning NUERAs, social network (OR 0.54, P = 0.015) and a medium score of pulmo-cardio-vascular function (OR 1.50, P = 0.006) were the predictors. Conclusion: Comorbidity, lack of social support, and functional limitations increase both ERA and NUERA rates generated by the older adult population. Overall, bio-psycho-social frailty represents an indicator of the frequency of ERAs. However, to reduce the number of ERAs, intervention should focus mainly on the robust and pre-frail needs for prevention and care.

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Developing checklists to prevent diagnostic error in Emergency Room settings.

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Developing checklists to prevent diagnostic error in Emergency Room settings.

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