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      Hope Modified the Association between Distress and Incidence of Self-Perceived Medical Errors among Practicing Physicians: Prospective Cohort Study

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          Abstract

          The presence of hope has been found to influence an individual's ability to cope with stressful situations. The objective of this study is to evaluate the relationship between medical errors, hope and burnout among practicing physicians using validated metrics. Prospective cohort study was conducted among hospital based physicians practicing in Japan (N = 836). Measures included the validated Burnout Scale, self-assessment of medical errors and Herth Hope Index (HHI). The main outcome measure was the frequency of self-perceived medical errors, and Poisson regression analysis was used to evaluate the association between hope and medical error. A total of 361 errors were reported in 836 physician-years. We observed a significant association between hope and self-report of medical errors. Compared with the lowest tertile category of HHI, incidence rate ratios (IRRs) of self-perceived medical errors of physicians in the highest category were 0.44 (95%CI, 0.34 to 0.58) and 0.54 (95%CI, 0.42 to 0.70) respectively, for the 2 nd and 3 rd tertile. In stratified analysis by hope score, among physicians with a low hope score, those who experienced higher burnout reported higher incidence of errors; physicians with high hope scores did not report high incidences of errors, even if they experienced high burnout. Self-perceived medical errors showed a strong association with physicians' hope, and hope modified the association between physicians' burnout and self-perceived medical errors.

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          Association of perceived medical errors with resident distress and empathy: a prospective longitudinal study.

          Medical errors are associated with feelings of distress in physicians, but little is known about the magnitude and direction of these associations. To assess the frequency of self-perceived medical errors among resident physicians and to determine the association of self-perceived medical errors with resident quality of life, burnout, depression, and empathy using validated metrics. Prospective longitudinal cohort study of categorical and preliminary internal medicine residents at Mayo Clinic Rochester. Data were provided by 184 (84%) of 219 eligible residents. Participants began training in the 2003-2004, 2004-2005, and 2005-2006 academic years and completed surveys quarterly through May 2006. Surveys included self-assessment of medical errors and linear analog scale assessment of quality of life every 3 months, and the Maslach Burnout Inventory (depersonalization, emotional exhaustion, and personal accomplishment), Interpersonal Reactivity Index, and a validated depression screening tool every 6 months. Frequency of self-perceived medical errors was recorded. Associations of an error with quality of life, burnout, empathy, and symptoms of depression were determined using generalized estimating equations for repeated measures. Thirty-four percent of participants reported making at least 1 major medical error during the study period. Making a medical error in the previous 3 months was reported by a mean of 14.7% of participants at each quarter. Self-perceived medical errors were associated with a subsequent decrease in quality of life (P = .02) and worsened measures in all domains of burnout (P = .002 for each). Self-perceived errors were associated with an odds ratio of screening positive for depression at the subsequent time point of 3.29 (95% confidence interval, 1.90-5.64). In addition, increased burnout in all domains and reduced empathy were associated with increased odds of self-perceived error in the following 3 months (P=.001, P<.001, and P=.02 for depersonalization, emotional exhaustion, and lower personal accomplishment, respectively; P=.02 and P=.01 for emotive and cognitive empathy, respectively). Self-perceived medical errors are common among internal medicine residents and are associated with substantial subsequent personal distress. Personal distress and decreased empathy are also associated with increased odds of future self-perceived errors, suggesting that perceived errors and distress may be related in a reciprocal cycle.
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            Association of resident fatigue and distress with perceived medical errors.

            Fatigue and distress have been separately shown to be associated with medical errors. The contribution of each factor when assessed simultaneously is unknown. To determine the association of fatigue and distress with self-perceived major medical errors among resident physicians using validated metrics. Prospective longitudinal cohort study of categorical and preliminary internal medicine residents at Mayo Clinic, Rochester, Minnesota. Data were provided by 380 of 430 eligible residents (88.3%). Participants began training from 2003 to 2008 and completed surveys quarterly through February 2009. Surveys included self-assessment of medical errors, linear analog self-assessment of overall quality of life (QOL) and fatigue, the Maslach Burnout Inventory, the PRIME-MD depression screening instrument, and the Epworth Sleepiness Scale. Frequency of self-perceived, self-defined major medical errors was recorded. Associations of fatigue, QOL, burnout, and symptoms of depression with a subsequently reported major medical error were determined using generalized estimating equations for repeated measures. The mean response rate to individual surveys was 67.5%. Of the 356 participants providing error data (93.7%), 139 (39%) reported making at least 1 major medical error during the study period. In univariate analyses, there was an association of subsequent self-reported error with the Epworth Sleepiness Scale score (odds ratio [OR], 1.10 per unit increase; 95% confidence interval [CI], 1.03-1.16; P = .002) and fatigue score (OR, 1.14 per unit increase; 95% CI, 1.08-1.21; P < .001). Subsequent error was also associated with burnout (ORs per 1-unit change: depersonalization OR, 1.09; 95% CI, 1.05-1.12; P < .001; emotional exhaustion OR, 1.06; 95% CI, 1.04-1.08; P < .001; lower personal accomplishment OR, 0.94; 95% CI, 0.92-0.97; P < .001), a positive depression screen (OR, 2.56; 95% CI, 1.76-3.72; P < .001), and overall QOL (OR, 0.84 per unit increase; 95% CI, 0.79-0.91; P < .001). Fatigue and distress variables remained statistically significant when modeled together with little change in the point estimates of effect. Sleepiness and distress, when modeled together, showed little change in point estimates of effect, but sleepiness no longer had a statistically significant association with errors when adjusted for burnout or depression. Among internal medicine residents, higher levels of fatigue and distress are independently associated with self-perceived medical errors.
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              Resident burnout.

              Intense work demands, limited control, and a high degree of work-home interference abound in residency training programs and should strongly predispose resident physicians to burnout as they do other health care professionals. This article reviews studies in the medical literature that address the level of burnout and associated personal and work factors, health and performance issues, and resources and interventions in residents. MEDLINE and PubMed databases were searched for peer-reviewed, English-language studies reporting primary data on burnout or dimensions of burnout among residents, published between 1983 and 2004, using combinations of the Medical Subject Heading terms burnout, professional, emotional exhaustion, cynicism, depersonalization and internship and residency, housestaff, intern, resident, or physicians in training and by examining reference lists of retrieved articles for relevant studies. A total of 15 heterogeneous articles on resident burnout were thus identified. The studies suggest that burnout levels are high among residents and may be associated with depression and problematic patient care. However, currently available data are insufficient to identify causal relationships and do not support using demographic or personality characteristics to identify at-risk residents. Moreover, given the heterogeneous nature and limitations of the available studies, as well as the importance of having rigorous data to understand and prevent resident burnout, large, prospective studies are needed.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                18 April 2012
                : 7
                : 4
                : e35585
                Affiliations
                [1 ]Department of Epidemiology and Healthcare Research, Kyoto University Graduate School of Medicine and Public Health, Kyoto, Japan
                [2 ]Horikawa Hospital, Kyoto, Japan
                [3 ]Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
                Federal University of Rio de Janeiro, Brazil
                Author notes

                Conceived and designed the experiments: YH MU-O MDF SF. Performed the experiments: YH MU-O. Analyzed the data: YH. Contributed reagents/materials/analysis tools: YH MU-O MDF SF. Wrote the paper: YH MU-O MDF SF.

                Article
                PONE-D-12-02164
                10.1371/journal.pone.0035585
                3329473
                22530055
                517f5b88-594a-45f3-a953-3b72ae748307
                Hayashino et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 6 January 2012
                : 18 March 2012
                Page count
                Pages: 7
                Categories
                Research Article
                Medicine
                Clinical Research Design
                Cohort Studies
                Survey Research
                Mental Health
                Psychology
                Personality
                Psychological Stress
                Non-Clinical Medicine
                Health Care Policy
                Quality of Care
                Health Care Providers
                Physicians
                Medical Sociology
                Social and Behavioral Sciences
                Psychology
                Personality
                Psychological Stress

                Uncategorized
                Uncategorized

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