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Association Between Physician Burnout and Patient Safety, Professionalism, and Patient Satisfaction: A Systematic Review and Meta-analysis

TLDR
This meta-analysis provides evidence that physician burnout may jeopardize patient care; reversal of this risk has to be viewed as a fundamental health care policy goal across the globe.
Abstract
Importance Physician burnout has taken the form of an epidemic that may affect core domains of health care delivery, including patient safety, quality of care, and patient satisfaction However, this evidence has not been systematically quantified Objective To examine whether physician burnout is associated with an increased risk of patient safety incidents, suboptimal care outcomes due to low professionalism, and lower patient satisfaction Data Sources MEDLINE, EMBASE, PsycInfo, and CINAHL databases were searched until October 22, 2017, using combinations of the key termsphysicians,burnout, andpatient care Detailed standardized searches with no language restriction were undertaken The reference lists of eligible studies and other relevant systematic reviews were hand-searched Study Selection Quantitative observational studies Data Extraction and Synthesis Two independent reviewers were involved The main meta-analysis was followed by subgroup and sensitivity analyses All analyses were performed using random-effects models Formal tests for heterogeneity (I2) and publication bias were performed Main Outcomes and Measures The core outcomes were the quantitative associations between burnout and patient safety, professionalism, and patient satisfaction reported as odds ratios (ORs) with their 95% CIs Results Of the 5234 records identified, 47 studies on 42 473 physicians (25 059 [590%] men; median age, 38 years [range, 27-53 years]) were included in the meta-analysis Physician burnout was associated with an increased risk of patient safety incidents (OR, 196; 95% CI, 159-240), poorer quality of care due to low professionalism (OR, 231; 95% CI, 187-285), and reduced patient satisfaction (OR, 228; 95% CI, 142-368) The heterogeneity was high and the study quality was low to moderate The links between burnout and low professionalism were larger in residents and early-career (≤5 years post residency) physicians compared with middle- and late-career physicians (CohenQ = 727;P = 003) The reporting method of patient safety incidents and professionalism (physician-reported vs system-recorded) significantly influenced the main results (CohenQ = 814;P = 007) Conclusions and Relevance This meta-analysis provides evidence that physician burnout may jeopardize patient care; reversal of this risk has to be viewed as a fundamental health care policy goal across the globe Health care organizations are encouraged to invest in efforts to improve physician wellness, particularly for early-career physicians The methods of recording patient care quality and safety outcomes require improvements to concisely capture the outcome of burnout on the performance of health care organizations

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The consequences of the COVID-19 pandemic on mental health and implications for clinical practice.

TL;DR: It is considered that the mental health and psychosocial consequences of the COVID-19 pandemic may be particularly serious for at least four groups of people: those who have been directly or indirectly in contact with the virus; those who are already vulnerable to biological orPsychosocial stressors (including people affected by mental health problems); health professionals; and even people who are following the news through numerous media channels.
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Estimating the Attributable Cost of Physician Burnout in the United States

TL;DR: In this study, a model to estimate the cost associated with burnout in a given population of physicians was introduced and 2 costly organizational outcomes were focused on: turnover and reduction in clinical hours.
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Burnout and somatic symptoms among frontline healthcare professionals at the peak of the Italian COVID-19 pandemic.

TL;DR: This study provides a first account of the huge psycho-physical impact of COVID-19 outbreak for healthcare workers in Italy and reports relevant work-related psychological pressure, emotional burnout and somatic symptoms.
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The psychological impact of COVID-19 pandemic on health care workers in a MERS-CoV endemic country.

TL;DR: The psychological impact of COVID-19 on HCWs in comparison to the stress brought on by the Middle East respiratory syndrome coronavirus (MERS-CoV) epidemic in Saudi Arabia was assessed to alleviate their psychological stress and anxiety.
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COVID-19 in Wuhan: Immediate Psychological Impact on 5062 Health Workers

TL;DR: Women and those who have more than 10 years of working, concomitant chronic diseases, history of mental disorders, and family members or relatives confirmed or suspected are susceptible to stress, depression and anxiety among HWs during the COVID-19 pandemic.
References
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Journal ArticleDOI

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Journal Article

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.

TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
Journal ArticleDOI

Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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