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      What determines diagnostic resource consumption in emergency medicine: patients, physicians or context?

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          Abstract

          Objectives

          A major cause for concern about increasing ED visits is that ED care is expensive. Recent research suggests that ED resource consumption is affected by patients’ health status, varies between physicians and is context dependent. The aim of this study is to determine the relative proportion of characteristics of the patient, the physician and the context that contribute to ED resource consumption.

          Methods

          Data on patients, physicians and the context were obtained in a prospective observational cohort study of patients hospitalised to an internal medicine ward through the ED of the University Hospital Bern, Switzerland, between August and December 2015. Diagnostic resource consumption in the ED was modelled through a multilevel mixed effects linear regression.

          Results

          In total, 473 eligible patients seen by one of 38 physicians were included in the study. Diagnostic resource consumption heavily depends on physicians’ ratings of case difficulty (p<0.001, z-standardised regression coefficient: 147.5, 95% CI 87.3 to 207.7) and—less surprising—on patients’ acuity (p<0.001, 126.0, 95% CI 65.5 to 186.6). Neither the physician per se, nor their experience, the patients’ chronic health status or the context seems to have a measurable impact (all p>0.05).

          Conclusions

          Diagnostic resource consumption in the ED is heavily affected by physicians’ situational confidence. Whether we should aim at altering physician confidence ultimately depends on its calibration with accuracy.

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          Most cited references24

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          Composite variables: when and how.

          Use of composite variables is a common practice, but knowledge about what researchers should consider when creating composite variables is lacking. The purpose of this paper was to present methods used to create composite variables with attention to advantages and disadvantages. Methods of simple averaging, weighted averaging, and meaningful grouping to create composite variables are described briefly, and the context in which one method might be more suitable than the others is discussed. Study examples and comparisons of statistical power among these methods as well as Bonferroni correction are described. Each approach to creating composite variables has advantages and disadvantages that researchers should weigh carefully. With normally distributed data, composite variables provide the greatest increases in power when the original variables (that make up the composite variable) have similar associations with the outside outcome variable.
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            Managing diagnostic uncertainty in primary care: a systematic critical review

            Background Diagnostic uncertainty is one of the largest contributory factors to the occurrence of diagnostic errors across most specialties in medicine and arguably uncertainty is greatest in primary care due to the undifferentiated symptoms primary care physicians are often presented with. Physicians can respond to diagnostic uncertainty in various ways through the interplay of a series of cognitive, emotional and ethical reactions. The consequences of such uncertainty however can impact negatively upon the primary care practitioner, their patients and the wider healthcare system. Understanding the nature of the existing empirical literature in relation to managing diagnostic uncertainty in primary medical care is a logical and necessary first step in order to understand what solutions are already available and/or to aid the development of any training or feedback aimed at better managing this uncertainty. This review is the first to characterize the existing empirical literature on managing diagnostic uncertainty in primary care. Methods Sixteen databases were systematically searched from inception to present with no restrictions. Hand searches of relevant websites and reference lists of included studies were also conducted. Two authors conducted abstract/article screening and data extraction. PRISMA guidelines were adhered to. Results Ten studies met the inclusion criteria. A narrative and conceptual synthesis was undertaken under the premises of critical reviews. Results suggest that studies have focused on internal factors (traits, skills and strategies) associated with managing diagnostic uncertainty with only one external intervention identified. Cognitive factors ranged from the influences of epistemological viewpoints to practical approaches such as greater knowledge of the patient, utilizing resources to hand and using appropriate safety netting techniques. Emotional aspects of uncertainty management included clinicians embracing uncertainty and working with provisional diagnoses. Ethical aspects of uncertainty management centered on communicating diagnostic uncertainties with patients. Personality traits and characteristics influenced each of the three domains. Conclusions There is little empirical evidence on how uncertainty is managed in general practice. However we highlight how the extant literature can be conceptualised into cognitive, emotional and ethical aspects of uncertainty which may help clinicians be more aware of their own biases as well as provide a platform for future research. Trial registration PROSPERO registration: CRD42015027555 Electronic supplementary material The online version of this article (doi:10.1186/s12875-017-0650-0) contains supplementary material, which is available to authorized users.
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              Task errors by emergency physicians are associated with interruptions, multitasking, fatigue and working memory capacity: a prospective, direct observation study

              Background Interruptions and multitasking have been demonstrated in experimental studies to reduce individuals’ task performance. These behaviours are frequently used by clinicians in high-workload, dynamic clinical environments, yet their effects have rarely been studied. Objective To assess the relative contributions of interruptions and multitasking by emergency physicians to prescribing errors. Methods 36 emergency physicians were shadowed over 120 hours. All tasks, interruptions and instances of multitasking were recorded. Physicians’ working memory capacity (WMC) and preference for multitasking were assessed using the Operation Span Task (OSPAN) and Inventory of Polychronic Values. Following observation, physicians were asked about their sleep in the previous 24 hours. Prescribing errors were used as a measure of task performance. We performed multivariate analysis of prescribing error rates to determine associations with interruptions and multitasking, also considering physician seniority, age, psychometric measures, workload and sleep. Results Physicians experienced 7.9 interruptions/hour. 28 clinicians were observed prescribing 239 medication orders which contained 208 prescribing errors. While prescribing, clinicians were interrupted 9.4 times/hour. Error rates increased significantly if physicians were interrupted (rate ratio (RR) 2.82; 95% CI 1.23 to 6.49) or multitasked (RR 1.86; 95% CI 1.35 to 2.56) while prescribing. Having below-average sleep showed a >15-fold increase in clinical error rate (RR 16.44; 95% CI 4.84 to 55.81). WMC was protective against errors; for every 10-point increase on the 75-point OSPAN, a 19% decrease in prescribing errors was observed. There was no effect of polychronicity, workload, physician gender or above-average sleep on error rates. Conclusion Interruptions, multitasking and poor sleep were associated with significantly increased rates of prescribing errors among emergency physicians. WMC mitigated the negative influence of these factors to an extent. These results confirm experimental findings in other fields and raise questions about the acceptability of the high rates of multitasking and interruption in clinical environments.
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                Author and article information

                Journal
                Emerg Med J
                Emerg Med J
                emermed
                emj
                Emergency Medicine Journal : EMJ
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                1472-0205
                1472-0213
                September 2020
                9 July 2020
                : 37
                : 9
                : 546-551
                Affiliations
                [1 ] departmentDepartment of Emergency Medicine , Inselspital Berne , Bern, Switzerland
                [2 ] departmentCenter for Educational Measurement , University of Oslo , Oslo, Norway
                [3 ] departmentMedical Skills Lab , Charité Universitätsmedizin Berlin , Berlin, Germany
                [4 ] departmentCenter for Adaptive Rationality , Max-Planck-Institut fur Bildungsforschung , Berlin, Germany
                [5 ] departmentInstitute of Health and Nursing Science , Charité Universitätsmedizin Berlin , Berlin, Germany
                [6 ] departmentFaculty of Medicine , University of Oslo , Oslo, Norway
                [7 ] departmentInstitute of Health Economics and Clinical Epidemiology , Cologne , University Hospital of Cologne, Cologne
                Author notes
                [Correspondence to ] Dr Martin Müller, Department of Emergency Medicine, Inselspital Universitatsspital Bern, Bern 3010, Switzerland; martin.mueller2@ 123456insel.ch
                Author information
                http://orcid.org/0000-0002-2445-984X
                http://orcid.org/0000-0002-6646-5789
                http://orcid.org/0000-0001-6042-8453
                http://orcid.org/0000-0003-4067-7174
                Article
                emermed-2019-209022
                10.1136/emermed-2019-209022
                7497575
                32647026
                c3923ed6-8b41-484f-9da7-db5aa36faebe
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 13 August 2019
                : 15 April 2020
                : 22 April 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100008485, Schweizerische Akademie der Medizinischen Wissenschaften;
                Award ID: YTCR 14/17
                Categories
                Original Research
                1506
                Custom metadata
                unlocked

                Emergency medicine & Trauma
                emergency care systems,diagnosis,clinical management
                Emergency medicine & Trauma
                emergency care systems, diagnosis, clinical management

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