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Impact of fatigue and insufficient sleep on physician and patient outcomes: a systematic review
  1. Michelle Gates1,
  2. Aireen Wingert1,
  3. Robin Featherstone1,
  4. Charles Samuels2,
  5. Christopher Simon3,
  6. Michele P Dyson1
  1. 1 Alberta Research Centre for Health Evidence (ARCHE), Edmonton Clinic Health Academy, University of Alberta, Edmonton, Alberta, Canada
  2. 2 Centre for Sleep and Human Performance, Calgary, Alberta, Canada
  3. 3 Canadian Medical Association, Ottawa, Ontario, Canada
  1. Correspondence to Dr Michele P Dyson; mdyson{at}ualberta.ca

Abstract

Objectives For physicians in independent practice, we synthesised evidence on the (1) impacts of insufficient sleep and fatigue on health and performance, and patient safety and (2) effectiveness of interventions targeting insufficient sleep and fatigue.

Design We systematically reviewed online literature. After piloting, one reviewer selected studies by title and abstract; full texts were then reviewed in duplicate. One reviewer extracted data; another verified a random 10% sample. Two reviewers assessed risk of bias. We pooled findings via meta-analysis when appropriate or narratively.

Data sources We searched Medline, Embase, PsycINFO, CINAHL and PubMed for published studies in April 2016; Medline was updated in November 2017. We searched Embase for conference proceedings, and hand-searched meeting abstracts, association and foundation websites.

Eligibility criteria for selecting studies English or French language primary research studies published from 2000 to 2017 examining the effect of fatigue-related or sleep-related exposures or interventions on any outcome among physicians in independent practice and their patients.

Results Of 16 154 records identified, we included 47 quantitative studies of variable quality. 28 studies showed associations between fatigue or insufficient sleep and physician health and well-being outcomes. 21 studies showed no association with surgical performance, and mixed findings for psychomotor performance, work performance and medical errors. We pooled data from six cohort studies for patient outcomes. For sleep deprived versus non-sleep deprived surgeons, we found no difference in patient mortality (n=60 436, relative risk (RR) 0.98, 95% CI 0.84 to 1.15, I2=0% (p=0.87)) nor postoperative complications (n=60 201, RR 0.99, 95% CI 0.95 to 1.03, I2=0% (p=0.45)). The findings for intraoperative complications and length of stay were considerably heterogeneous.

Conclusions Fatigue and insufficient sleep may be associated with negative physician health outcomes. Current evidence is inadequate to inform practice recommendations.

  • risk management
  • sleep medicine

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/.

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Strengths and limitations of this study

  • The review was informed by the methods outlined by Cochrane and is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

  • The review was limited by the quality of the included studies, which was often poor. Confidence in our conclusions may be weakened due to multiple comparisons.

  • We have focused on evidence from high-income countries; our findings may not be generalisable to other settings.

Background

The working hours of physicians have been a topic of debate for many years.1 Beginning in the late 1980s, evidence indicating that medical resident fatigue could negatively impact their cognitive functioning and performance, resulting in an increased risk of medical error, began to accumulate.2 In response, by the early 2000s physicians’ regulatory bodies worldwide began to take action toward restricting the work hours of medical residents and ensuring adequate time for recovery between shifts.3–5 Since their implementation in the USA by the Accreditation Council for Graduate Medical Education (ACGME), the impact of work hour regulations has been widely researched. Still, evidence for impacts on patient care, resident training and well-being remains equivocal.6–9 This is likely because work hours are only one of many contributors to fatigue and physician well-being. In fact, the ACGME has recently reversed the 2011 changes that limited resident work hours to 16 hours per shift and the requirement for 8 hours of time off between shifts. This decision was made in favour of promoting ‘flexibility’ for residency training programme work hours and scheduling.

The focus on medical trainees has left physicians in independent practice as a relatively neglected group in research and policy. In Canada, there is no concrete regulation on the hours or patterns in which physicians choose to work.10 In the absence of clear policies, physicians trained under traditional systems may find it difficult to work shorter hours or take more frequent breaks.1 Indeed, more than 40% of practising physicians in the USA work in excess of 80 hours  per week.11 While long work hours remain a cultural norm in medicine, in comparable high-risk industries (eg, aviation), work patterns and work hours are tightly regulated.12 The need for similar evidence-based policies in medicine has become a topic of increased interest. Exemplar of this, an evidence-based guideline for fatigue risk management in emergency medical services,13 informed by a comprehensive set of systematic reviews, has recently been published. For physicians, it has been argued that there is a need to adapt healthcare systems and provide support in identifying the signs of fatigue and mitigating its risks.1

Besides potentially affecting patient outcomes, fatigue can impact the health and well-being of physicians themselves. Burn-out, just one outcome related to fatigue, has been described as epidemic among physicians14–16 and ultimately affects recruitment and retention of physicians both in community and acute care settings. While the effect of physician well-being on the sustainability of healthcare systems has recently received increased attention,17 evidence-based solutions to burn-out remain relatively elusive.18 What is clear is that comprehensive organisational-level efforts are necessary to fully address the issue.19 Research addressing the factors that influence burn-out and overall physician wellness is needed to inform system-level and individual-level strategies.20 21 To date, evidence of the effects of fatigue and the role of chronic insufficient sleep on physicians in independent practice has not been synthesised, making it unclear what gaps in knowledge remain unaddressed.

Given this void, we undertook a systematic review focusing broadly on primary research relevant to the Canadian context as a fundamental starting point to examine the effects of fatigue and chronic insufficient sleep on physicians in independent practice, and on interventions to combat these effects. Our review was guided by the following research questions: Among physicians in independent practice, (1) what are the impacts of fatigue and chronic insufficient sleep on physician health, physician performance and patient safety and (2) what is the effectiveness of interventions that target fatigue and chronic insufficient sleep, in terms of improving physician and patient outcomes?

Methods

Review conduct

The conduct of this systematic review was guided by Cochrane standards.22 The research team convened to plan the key research questions and methodology but did not register a formal protocol. The findings are reported in adherence with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement.23 Ethical approval was not required for this study.

Patient involvement

Patients were not involved.

Literature search

An information specialist developed a search strategy that included concepts related to physicians, fatigue and sleep. On 13 April 2016, we searched the following online databases with coverage in the biomedical sciences and psychology: Medline, Embase, PsycINFO, CINAHL and PubMed, limited to English and French language articles published from 2000 to 2016. We updated the Medline search in November 2017, as this database offered the highest precision. Though fatigue among physicians is not a new phenomenon,2 we limited our search to articles published post-2000 to include studies relevant to current physician practice. Work hour limitations have existed in European countries since 1993, but implementation in the USA (2003)5 and Canada (2013) for residents is more recent.24 We aimed to include studies published in this era of increased awareness about the potential impacts of long work hours. To locate unpublished studies, we searched Embase for conference proceedings since 2000 and hand-searched meeting abstracts of the Canadian Conference on Physician Health and the International Conference on Physician Health (2012 to 2016). We also searched the following association and foundation websites: American Medical Association, Australian Medical Association, British Medical Association, Canadian Medical Association, European Medical Association, National Sleep Foundation, Ontario Medical Association and the World Medical Association. The complete search strategy undertaken is reported in online supplementary file 1.

Supplementary file 1

Inclusion criteria

Primary studies (quantitative or qualitative) of fatigue-related or sleep-related exposures or interventions among physicians in independent practice were eligible for inclusion. We included physicians practising in any medical specialty and in any healthcare setting within a high-income country25 to identify practices comparable to the Canadian setting. Studies including physicians-in-training were included only if data for physicians in independent practice could be isolated. Exposures of interest included fatigue, insufficient sleep or sleepiness. We also included studies of any intervention that aimed to reduce fatigue or sleep loss with any comparator (or no comparator). All reported outcomes, measured at any time, were eligible for inclusion.

We excluded commentaries, letters, editorials and dissertations. Systematic reviews, health technology assessments, economic evaluations and practice guidelines were excluded, although the reference lists of these as well as the included studies were scanned for potential primary studies. Studies that focused solely on physicians-in-training (eg, trainees, residents, fellows, interns, medical students, junior doctors, registrars) were ineligible. To maintain the focused scope of the review, we excluded work hours, work load and any other exposure or intervention that was indirectly related to fatigue or sleep.

Study selection

The study team piloted the selection criteria, which were then applied by two independent reviewers following a two-phase process. We first screened titles and abstracts for potential relevance. Then, we retrieved all records classified as ‘include’ or ‘unsure’ and reviewed their full text for eligibility. Any disagreements between reviewers were resolved by discussion or third-reviewer consultation when necessary.

Data extraction

Reviewers used a standardised form to extract data in Microsoft Office Excel (V.2016; Microsoft, Redmond, Washington, USA)​. One reviewer independently extracted data from each included study and a second reviewer verified a random 10% sample. Since no major errors or omissions were noted, we did not undertake further verification.

We extracted the following data: country of publication, funding source, study design, inclusion and exclusion criteria, population characteristics (ie, sample size, age and gender distribution, physician specialty), setting (ie, physician workplace, urban or rural), exposure or intervention, definition of fatigue or insufficient sleep, sleep and fatigue scales used and timing of measurement, comparators (if applicable) and outcomes.

Risk of bias appraisal

Two reviewers independently assessed the risk of bias in each included study using standard tools. Disagreements were resolved via discussion or by consulting a third reviewer. We used the Cochrane Risk of Bias tool22 to assess randomised controlled trials (RCTs). Adapted versions of the tool developed by the Effective Practice and Organization of Care group26 were used to assess before-after and time series studies. We used the Newcastle-Ottawa Quality Assessment Scale27 to appraise cohort studies. We adapted the scale to assess cross-sectional studies and the one non-comparative study.

Evidence synthesis

We considered clinical and methodological heterogeneity in our decision on whether to proceed with meta-analysis for the outcomes identified. For most outcomes, we found high levels of heterogeneity in study design, populations, exposures or interventions, and outcome measures and chose not to pool the data via meta-analysis. Thus, we have presented the findings for most outcomes narratively and in summary tables.

When statistical pooling was appropriate, this was undertaken using Review Manager (RevMan V.5.3, Copenhagen: The Nordic Cochrane Centre, the Cochrane Collaboration, 2014) via pairwise meta-analysis using the DerSimonian and Laird random effects model (given expected heterogeneity).28 We pooled dichotomous outcomes using the relative risk (RR, 95% CI) and continuous outcomes using the mean difference (95% CI) since the units across studies were consistent (eg, minutes). When meta-analysis was conducted, we assessed statistical heterogeneity using the χ2 test (using p=0.10 as the threshold for significance) and quantified the extent of heterogeneity using the I2 statistic.29 We considered an I2 value of 0% to 40% to be low (potentially unimportant), 30% to 60% to be moderate, 50% to 90% to be substantial and 75% to 100% to be considerable heterogeneity.22 Subgroup and sensitivity analyses were conducted when appropriate to explore heterogeneity. We intended to assess small study bias visually by inspecting funnel plots and statistically using Egger’s regression test, but did not due to the small number (ie, less than 8) of studies included in the meta-analyses.30

When data were not presented in the format required for meta-analysis, we estimated means or SDs using standard equations. We used the median instead of the mean for one study31 for the outcomes of length of stay and operating time. Additionally, for one study32 in the length of stay analysis where the SD could not be estimated, we substituted the mean variance of other studies within the meta-analysis.33

Results

We identified 16 083 unique records via the database searches, 56 grey literature sources and 15 additional records in reference lists of systematic reviews. We excluded 15 016 citations by title and abstract, and another 1091 by full text. Forty-seven studies31 32 34–78 were eligible for inclusion, and six31 32 41 58 63 77 were included in meta-analysis for the outcomes of operating time, intraoperative and postoperative complications, patient mortality and length of hospital stay. Figure 1 shows the flow of studies through the selection process.

Figure 1

Flow of records through the selection process.

Included study characteristics

A summary of the study characteristics is provided in table 1. Online supplementary file 2 presents descriptive information for each included study. There were 45 observational studies31 32 34–39 41–74 76–78 and 2 intervention studies.40 75 All studies were quantitative. Nearly half (n=20/47, 43%) of the studies took place in North America31 32 35 37 38 41 45 48 57–60 62 63 65–68 72 77 and slightly more than one-third (n=16/47, 34%) in Europe.34 36 39 40 42 46 47 50–53 61 64 73 75 76

supplementary file 2

Table 1

Summary characteristics of the included studies

The 47 studies reported outcomes for 36 190 (range=6 to 7 905) physicians and 69 809 (range=270 to 38 978) adult patients. About half reported on surgeons (n=13/47, 28%),31 32 34 41 45 48 54 58 62 63 66 75 77 or anesthesiologists/physician anaesthetists (n=10/47, 21%).36 37 39 43 44 50–52 59 60 Where it was reported, the samples tended to be predominantly male (n=30/38, 79%) and physician age varied widely. Hospitals were the most common setting (n=37/47, 79%).31 32 34–37 39–43 45–47 49–52 54 57–61 63–70 73–75 77 78 In the studies where it was reported (n=16/47, 34%),31 32 34 38 40 41 43 45 50 51 55 56 58 65 76 77 all but four studies31 55 56 77 took place in solely an urban setting.

Fifteen (32%) studies reported on fatigue-related exposures (eg, as a source of stress, exhaustion, physical fatigue; hereafter referred to as ‘fatigue’),35 40 45 48 57 63–71 73 while others (n=37/47, 79%) reported on sleep-related exposures (eg, sleep hours, insufficient sleep, sleep deprivation, sleep disruption, sleepiness; hereafter referred to as ‘insufficient sleep’).31 32 34 36–47 49–56 58–62 64 67 71 72 74–78 A few (n=5/47, 11%) reported on both.40 45 64 67 71 In some cases (n=18/47, 38%), fatigue or insufficient sleep were related to overnight work or long on-call shifts.31 32 34 37 40 41 43 45 46 50 51 53 58–60 63 75 77 Measured outcomes varied widely and were ultimately organised into physician physical and mental health, physician performance and risk of error, and patient outcomes.

Risk of bias appraisal

The overall quality of the body of research was poor; 62% (n=29/47) of studies were rated at unclear or high risk of bias. Of the two RCTs, one was rated as unclear overall risk of bias75 and one as high risk.40 All cohort studies were at low risk of bias (mean score: 8.4/9, range: 8–9).31 32 41 58 63 77 All of the before-after studies were rated as high risk of bias.34 45 50 The single time series study was assessed at high risk of bias.51 The cross-sectional studies varied in performance (mean score: 3.0/5, range: 1–4); only one-third (n=12/34, 35%) were at low risk of bias.39 42 44 47 52 59 60 69 70 72 74 76 The one non-comparative study was at unclear risk of bias.43 Detailed assessments of the sources of bias per study are shown in online supplementary file 3.

supplementary file 3

Physician health and well-being outcomes

Twenty-eight studies reported on physician health and well-being-related outcomes,35 36 38–40 42 46–48 50–57 60 62 64 67 68 70–72 74 76 78 including burn-out (n=7), stress (n=8), mental health and well-being (n=7), life and job satisfaction (n=9) and other markers of health (n=5) (online supplementary file 4).

supplementary file 4

Seven cross-sectional studies reported on burn-out (five low,39 70 72 74 76 one unclear,54 one high risk of bias62) among surgeons,54 62 anesthesiologists,39 generalists76 and other mixed groups.70 72 74 Two studies reported on surgeons; the larger (n=2 564, low risk of bias) study of neurosurgeons showed increased odds of burn-out with sleep deprivation (hours of sleep per night; OR 0.84, 95% CI 0.75 to 0.94, p=0.002).54 Among anesthesiologists, one study (n=565, low risk of bias) indicated that burn-out (measured via Maslach Burnout Inventory) was more prevalent among the sleep-deprived (‘lack of sleep’ on one question; 47.6% vs 16.3%, p<0.001).39 In one small (n=11) study of generalists, those with burn-out (measured via Pines Burnout Measure) had poorer Pittsburgh Sleep Quality Index scores (7.24±4.17 vs. 2.72±2.22, p<0.001).76 In the two larger studies of mixed physician groups (low risk of bias), burnout (measured via 5-point scale) was more prevalent among those who were sleep deprived (<7 hours of sleep per 24 hours; 39.6% vs 26.4%, p<0.05),72 and physical fatigue (‘feeling tired’ on a 7-point scale) was correlated with burn-out (Shirom-Melamed Burnout Measure; r=0.88, p<0.05).70 In summary, evidence from seven cross-sectional studies (71% at low risk of bias) showed associations between insufficient sleep and burn-out.

Six cross-sectional studies (two low,47 52 one unclear,46 three high risk of bias35 62 64), one uncontrolled before-after study (high risk of bias50) and one intervention study (high risk of bias40) reported on stress outcomes among surgeons,62 anesthesiologists,50 52 emergency physicians,40 64 internal medicine physicians46 and mixed groups.35 47 In a small sample (n=20) of internal medicine physicians, insufficient sleep related to a 24-hour call shift showed no association with biochemical or physiological stress parameters, except levels of thyroid-stimulating hormone, which was higher post-shift (p=0.049, data not reported).46 The remaining observational studies suggested that there was an association between insufficient sleep or fatigue and stress. The one study of orthopaedic surgeons (n=264, high risk of bias) showed that insufficient sleep (measured on a 3-point scale) and psychological distress (measured via General Health Questionnaire-12) were correlated (data not reported, p<0.001).62 The two reports on anesthesiologists were of varied quality; the larger (n=328, low risk of bias) study showed that stress symptoms (measured via Modified Occupational Stress Questionnaire) were predicted by sleep sufficiency (self-reported on one question, β=−0.269, p<0.001).52 Among the two studies reporting on mixed groups of physicians, the larger (n=1 541, low risk of bias) study showed an association between sleep problems (four questions derived from Jenkins scale) and psychological distress (General Health Questionnaire-12; β=0.18, p<0.001).47 One RCT assessed the impact of insufficient sleep from shift work (14-hour or 24-hour shifts), showing that stress (on a Visual Analogue Scale) among emergency physicians (n=17) was higher following the shift as compared with a control day (data not reported, p<0.05).40 In summary, evidence from one intervention study at high risk of bias and all but one of the seven observational studies (29% at low risk of bias) that we identified supported an inverse association between fatigue or sleep deprivation and stress.

Seven cross-sectional studies (two low,52 60three unclear,67 71 78two high risk of bias36 53) reported on aspects of mental health including addiction or substance misuse,36 53 71 depression,78 thoughts of suicide,52 mood disturbance60 71 and overall well-being.67 One study,53 which was at high risk of bias, showed no association between hours of sleep when on call and hazardous drinking behaviours (via Alcohol Use Disorder Identification Test). Meanwhile, the six other studies all showed associations between insufficient sleep and fatigue and reduced mental health. Three studies reported on anaesthetists,36 52 60 with two large surveys showing increased odds of tobacco (OR 1.42, 95% CI 1.04 to 1.94) and tranquillizer/hypnotics (OR 3.26, 95% CI 2.12 to 5.02) dependency being predicted by sleep deprivation (measured by one question),36 and sleep disturbance being associated with thoughts of suicide (using a 4-point scale; p=0.009).52 A small study (n=21) showed greater mood disturbance following a 17-hour night shift than a usual day (Profile of Mood States score 42.57±15.26 vs 70.90±6.91, p<0.001).60 Among oncologists (n=241), overall well-being was predicted by lower levels of fatigue after controlling for personal and professional characteristics (assessed via Linear Analogue Scale quality of life survey, p=0.002).67 A large (n=3 862, unclear risk of bias) study of physicians showed that insufficient sleep (lower sleep hours when not at work in the past month) was associated with increased odds of depression (Quick Inventory Depressive Scale; OR 2.70, 95% CI 1.82 to 4.03 for men; OR 2.38, 95% CI 1.11 to 5.10 for women).78 In open-ended questions, senior physicians in one study (unclear risk of bias) attributed the development of mental illness to tiredness and stress at work.71 In summary, seven cross-sectional studies (29% at low risk of bias) were identified, and of these six supported an association between insufficient sleep or fatigue and negative mental health outcomes.

Nine cross-sectional studies (four low,42 47 72 74two unclear,55 68three high risk of bias38 48 62) reported on outcomes related to job satisfaction,42 47 48 55 72 74 life satisfaction38 62 72 or work–life balance.68 72 The six studies that investigated job satisfaction were all at low risk of bias and generally included mixed groups of physicians47 72 74; one study reported on general practitioners,55 another on surgeons48 and one on mixed specialties.42 Three studies showed that reductions in sleep duration and/or quality47 48 74 were associated with reduced job satisfaction. Meanwhile, one showed no association between insufficient sleep (<7 hours per 24-hour period) and career satisfaction (measured on a 5-point Likert scale),72 and another showed no relationship between earlier sleep disturbance (Jenkins Scale) and later job demands or job control (measured via 5-point scale).42 A single study (n=92) reporting on rural general practitioners indicated that frequent sleep disturbance (measured on a 7-point scale) predicted the intention to retire early (OR 2.91, 95% CI 1.11 to 7.6, p<0.05).55 In summary, six cross-sectional studies (all at low risk of bias) were identified, and all but two42 72 of these studies showed that insufficient sleep and fatigue were associated with reductions in satisfaction.

Three studies reported on life satisfaction.38 62 72 Of two studies among mixed physician groups,38 72 the one larger (n=840) study showed that insufficient sleep (<7 hours per day) was a predictor of reduced life satisfaction (measured on a 5-point Likert scale; OR 0.44, 95% CI 0.29 to 0.67, p≤0.05).72 One study at high risk of bias reported on orthopaedic surgeons (n=264), showing that sleep deprivation (measured via 3-point scale) was correlated with lower marital satisfaction (Revised Dyadic Adjustment Scale; data not reported, p<0.001).62 Two large studies at low or unclear risk of bias reported on work–life balance.68 72 Among oncologists (n=1 117), reduced satisfaction with work–life balance (measured on a 5-point Likert scale) was predicted by high levels of fatigue (measured via 10-point Visual Analogue Scale), even when controlling for personal and work-related factors and burn-out (OR 0.489, 95% CI 0.337 to 0.710, p<0.001).68 Among a mixed group of physicians (n=840, low risk of bias), insufficient sleep (<7 hours in a typical 24-hour period) predicted a reduced perception of having balanced personal and professional commitments (5-point Likert scale; OR 0.46, 95% CI 0.31 to 0.71, p≤0.05).72 In summary, three cross-sectional studies (all unclear or high risk of bias) supported an association between insufficient sleep or fatigue and reduced life satisfaction, and two cross-sectional studies (50% low risk of bias) supported an association with reduced work–life balance.

Four cross-sectional studies (three unclear,56 57 71one high risk of bias38) and one time series study (high risk of bias51) reported on other health-related outcomes. Among a mixed group of physicians (n=180), one study at high risk of bias showed that Epworth Sleepiness Scale scores were higher among physicians who worried about having a car accident while driving home (7.0 vs 5.4, p<0.001).38 Among generalists (n=578), almost 1 in 10 (8.7%) admitted to falling asleep while driving due to fatigue.57 Also among generalists (n=92), those with frequent work-related sleep disturbance (measured on a 7-point scale) were at increased odds of sickness presenteeism (OR 2.92, 95% CI 1.19 to 7.16, p=0.02).56 The one time series study concluded that a single 24-hour shift did not cause major chronodisruption (based on serum melatonin measurement) among anaesthetists (n=10).51 Meanwhile, open-ended comments from a large sample (n=3 550) of senior physicians suggests that they attributed the development of physical health problems to a lifestyle of insufficient sleep, poor eating habits and lack of exercise imposed by their jobs.71 In summary, five cross-sectional studies (0% at low risk of bias) supported associations between insufficient sleep and fatigue and varied deleterious health outcomes (ie, car accidents, sickness presenteeism, physical health problems). One time series study at high risk of bias did not support such a relationship.

Physician performance and risk of errors

Twenty-one studies reported on physician performance and safety-related outcomes,31 32 34 37 38 41 43–47 49 50 59 61 65 66 69 71 73 75 including surgical efficiency and effectiveness (n=6), psychomotor performance (n=7), work ability and quality of care (n=5) and medical errors (n=5) (online supplementary file 4).

Four cohort studies (all low risk of bias31 32 41 63), one before-after study (high risk of bias34) and one RCT (high risk of bias75) examined the effects of insufficient sleep from overnight work or extended shifts, during surgeries31 32 41 or laparoscopic simulations.34 75 We pooled the data from these studies31 32 41 63 via meta-analysis, which showed no difference in operating time (sometimes referred to as surgeon efficiency) between sleep deprived and non-sleep deprived surgeons (figure 2; n=50 046, mean difference (MD) −0.14, 95% CI −1.60 to 1.33, I2=0% (p=0.70)). Of studies not meta-analysed, the small (n=29) before-after study showed no impact of sleep deprivation from shift work nor of sleep hours on performance on a laparoscopic simulation (LapSimGyn).34 One small (n=64) intervention study compared a 24-hour shift to a usual work day, also finding no detriment to performance on a laparoscopic simulation (minimally invasive surgical trainer-virtual reality) despite diminished sleep hours while working on-call.75 In summary, pooled data from four cohort studies (100% low risk of bias) showed no effect of insufficient sleep on surgical efficiency. Additional data from one RCT (high risk of bias) and one before-after study (high risk of bias) also showed no association between insufficient sleep and performance on laparoscopic simulations.

Figure 2

Forest plot for operating time among sleep deprived and non-sleep deprived surgeons.

Two before-after studies (high risk of bias45 50) and five cross-sectional studies (two low,43 59two unclear,37 46one high risk of bias61) reported on psychomotor performance outcomes among surgeons,45 anesthesiologists,37 43 50 59 emergency physicians61 and internal medicine physicians.46 Among a small group of surgeons (n=9), performance on a virtual ring transfer task deteriorated after an on-call shift (data not reported, p<0.05).45 The four studies among anaesthetists reported mixed findings. One small (n=11) before-after study showed longer reaction times (690.8±73.4 vs 746.5±113.7 ms) and reduced concentration ability (26.4±23.5 vs 56.3±23.0 on a 100-point scale, p=0.007) following a 24-hours shift with insufficient sleep50; two others found that insufficient sleep due to overnight shifts was associated with slower reaction times.43 59 Conversely, a small study (n=11) found no effect of overnight shift work with insufficient sleep on any measure of psychomotor performance except Hopkin’s Verbal Learning Test (t-score of 48.6±7.6 vs 41.5±9.9, p=0.04).37 Among emergency physicians (n=18), one study (high risk of bias) showed that those who were sleep deprived (<5 hours sleep after a 24-hour shift) had a reduced performance on most but not all psychomotor tests (Battery Test Reaction 5),61 while among internal medicine physicians (n=20, low risk of bias), neurocognitive parameters did not seem to worsen post-call.46 In summary, two before-after (0% low risk of bias) and five cross-sectional studies (40% low risk of bias) showed mixed results for the association between fatigue or insufficient sleep and psychomotor performance.

Five cross-sectional studies (two low,47 69one unclear,71two high risk of bias38 65) reported on associations between sleep deprivation or fatigue and work ability or perceived performance, all among mixed groups of physicians.38 47 65 69 71 The two large studies at low risk of bias showed that sleep problems and fatigue were inversely associated with physicians’ perceived quality of work.47 69 Among 1 541 physicians in Finland, sleeping problems (measured by four questions from the Jenkins Scale) were inversely associated with scores on the Work Ability Index (β=−0.29, p<0.001),47 while a study of 890 physicians from Israel demonstrated that perceived quality of care was predicted by fatigue (1 item on the Shirom-Melamed Burnout Measure) even after controlling for components of burn-out (β=0.17, p<0.05).69 Similarly, in one study, comments from senior physicians suggested that continual tiredness and exhaustion negatively affected their perceived competence.71 The two studies38 65 that were at high risk of bias had conflicting findings. In summary, five cross-sectional studies (40% at low risk of bias) reported on perceived work performance; those that were at low risk of bias supported an association between fatigue or insufficient sleep and reduced performance.

Five cross-sectional studies (one low,44two unclear,49 66two high risk of bias38 73) reported on associations between insufficient sleep or fatigue and self-reported medical errors among surgeons,66 anesthesiologists44 and mixed groups of physicians.38 49 73 A large (n=7 905) study at unclear risk of bias showed that only 6.9% of surgeons reported fatigue as the most important contributor to medical errors.66 Among anesthesiologists, a smaller study (n=183) at low risk of bias showed that the risk of self-reported fatigue-related errors increased with more nights of work-related sleep disturbance (RR 1.25, 95% CI 1.06 to 1.49).44 Two of the studies reporting on mixed groups of physicians had conflicting results,38 49 while another reported that physicians’ opinions on the association between fatigue and prescribing errors differed by work setting.73 One-third (34%) of community-based, 96% of hospital-based and 8% of office-based physicians believed that there was a high or very high association between fatigue and prescribing errors (p<0.05).73 In summary, five cross-sectional studies (20% at low risk of bias) reported on self-reported errors and these showed mixed findings for associations with fatigue or insufficient sleep.

Patient outcomes

Six large (n=270 to 38 978) cohort studies at low risk of bias reported on patient outcomes, all related to surgical31 32 41 58 63 77 or obstetric58 procedures (online supplementary file 4). In these studies, insufficient sleep or fatigue were typically defined as overnight work prior to a daytime procedure,31 41 58 63 77 though two studies measured sleep hours32 or ‘sleep opportunity’.58 We pooled data for procedures performed by sleep deprived versus non-sleep deprived surgeons (or obstetrician-gynaecologists in one case58). Analyses showed no difference in the rate of postoperative complications (figure 3; five studies,31 32 41 63 77n=60 201, RR 0.99, 95% CI 0.95 to 1.03, I2=0% (p=0.45) nor patient mortality (figure 4; five studies,31 32 41 63 77n=60 436, RR 0.98, 95% CI 0.84 to 1.15, I2=0% (p=0.87)). One study77 in the mortality analysis reported the number of deaths only as ≤5. We assumed two events for this study (midpoint between 0 and 5); sensitivity analysis using the lowest (ie, 0) and highest (ie, 5) possible number of events did not change the overall result (online supplementary file 5). We found considerable between-study heterogeneity in the analyses for intraoperative complications (I2=82%) and length of stay (I2=86%), which could not be explained via subgroup analyses by procedure type, thus we have suppressed the average estimates of effect. For length of stay, the results of one study on cardiac surgeries favoured sleep deprived surgeons,32 while the others31 41 63 had null results. For intraoperative complications, the findings of one study63 favoured non-sleep deprived surgeons, but the others58 77 had null results.

supplementary file 5

Figure 3

Forest plot for postoperative complications among surgeries performed by sleep deprived and non-sleep deprived surgeons. Vinden et al 77 reported iatrogenic injuries, Schieman et al 63, Govindarajan et al 31 and Chu et al 32 reported postoperative complication rate and Ellman41 reported postoperative complications (other types of complications reported not included in the analysis).

Figure 4

Forest plot for patient mortality among surgeries performed by sleep deprived and non-sleep deprived surgeons.

Discussion

Fatigue and chronic insufficient sleep are two potential drivers of reduced physician well-being17 19 that have thus far been understudied in physicians in independent practice. Burn-out is becoming increasingly prevalent among physicians,14–16 and recent research indicates that comprehensive individual-level and system-level strategies are needed to address the problem.6–9 19 21 We have systematically reviewed evidence from a heterogeneous array of available studies reporting on diverse outcomes related to physicians in independent practice and their patients. The included studies were often at high or unclear risk of bias, included small samples of physicians and inconsistently measured and reported exposures and outcomes. The key message gleaned from this review is that despite growing interest in the topic of physician wellness, the robust evidence needed to inform individual-level and systems-level fatigue management strategies is lacking.

Traditionally, much of the fatigue-related research has focused on hazards to patients. The current review included six cohort studies showing that insufficient sleep and/or fatigue did not seem to result in increased rates of patient morality or postoperative complications; findings for length of stay and intraoperative complications were inconclusive. Evidence for psychomotor performance, surgical skills and errors suggest that there is indeed a potential for negative outcomes. The included studies, like many of the others in this and other systematic reviews,79 employed indirect definitions that make it difficult to classify sleep deprived physicians with certainty. In recent years, there has been a shift away from the singular focus on patient safety toward a more comprehensive view that also considers the detrimental effects of fatigue, sleep loss and other occupational hazards on physician wellness.80 Evidence from this review supports that fatigue and insufficient sleep may be negatively associated with physician health and well-being. It is now recognised that health systems cannot be sustained by a workforce that is facing an epidemic of burn-out.19 81 82

In light of high rates of burn-out, the ongoing dialogue about the need for a cultural shift in the practice of medicine83 84 is now more important than ever. Recognition of the potential effects of physician fatigue on patients, physicians and healthcare systems as a whole must be emphasised at a systemic level, encouraging a shift in which the risks are viewed as unacceptable.1 20 80 Likewise, although research to date has focused largely on individual-level approaches to address burn-out, it is now clear that placing the burden of a system-level problem solely on the individual is unlikely to bring about significant and lasting change.85 Recent research has highlighted physician burn-out as a system-driven issue that will require corresponding national-scale multicomponent solutions.1 19 81 82 As such, in the past several years both the American and Canadian Medical Associations have developed policies and programmes that address physician health.81 86 The Canadian Medical Association’s new policy on physician health calls on broad stakeholder groups (eg, policy-makers, regional health authorities, governments) to take shared responsibility for the health of physicians and to make meaningful and concerted efforts towards promoting a healthy and sustainable workforce.81

The most salient finding of this review is that the current evidence is insufficient to inform policy and practice. Correspondingly, a 2016 research summit on physician wellness and burn-out outlined the need for timely, relevant and methodologically robust research to inform practice and policy.21 The findings herein may be used as motivation for researchers and practitioners to develop and design methodologically strong research programmes related to physician fatigue, inform successful research grant proposals, and lobby healthcare organisations to increase the focus on physician fatigue management programmes. It will be important to make use of existing validated measures87–89 consistently in future research. Identifying outcomes of importance to physicians and their patients should be prioritised, such that these may be collected within intervention studies. Reporting these consistently will allow for the effective synthesis of findings and reduce research waste.90 Integrated knowledge translation strategies involving multiple stakeholder groups (eg, physicians, patients, medical schools, physicians’ associations and governing bodies, policy-makers) may help to ensure that the research is relevant and facilitates decision-making.91

Strengths and limitations

Our systematic review is the first to synthesise evidence on the effects of fatigue and insufficient sleep on physicians in independent practice. The review is timely, given recent calls for research into individual and organisational solutions for burn-out,20 21 and an increased focus on physician health.80 81 While we have identified a diverse body of evidence, we could not draw definitive conclusions due to methodological weaknesses (eg, 62% of studies at high or unclear risk of bias, reliance primarily on cross-sectional designs and uncontrolled studies, subjective measurement of exposures and outcomes, small sample sizes, inclusion of predominantly male physicians within urban settings) and heterogeneous outcome measures in the included studies. Given that the 2017 update search was limited to one database, it is possible that a small number of relevant studies could have been missed. We believe that the likelihood that these might alter the conclusions of the review is low. The findings may have been influenced by publication bias and may not be generalised to all settings, given our restriction to high-income countries. Confidence in the conclusions is limited due to multiple comparisons.

Conclusion

The evidence synthesised in this review suggests that fatigue and insufficient sleep are associated with some detrimental physician health and well-being outcomes; the evidence for potential associations with performance and safety outcomes was mixed. Meta-analyses for patient outcomes demonstrated that in many cases, potential relationships with physician sleep deprivation remain unclear. Our overall confidence in the findings is low, owing to multiple comparisons and a body of research that is hindered by methodological weaknesses. Further methodologically robust research that includes consistent outcomes that are of interest to physicians and their patients is needed to inform strong practice recommendations and policy decisions.

Acknowledgments

We thank Dr Meghan Sebastianski and Andrea Milne for assistance with screening, and Dr Allison Gates for screening, data verification and quality assessment of the French studies.

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Footnotes

  • Contributors All authors contributed to the conception and design of the project. MG and AW contributed to the acquisition, analysis and interpretation of the data, and drafted the manuscript. RF contributed to acquisition of data. CSa, CSi and MPD contributed to interpretation of data and revised the manuscript for important intellectual content. All authors approved the final version of the manuscript as submitted.

  • Funding This research was supported by the Canadian Medical Association.

  • Competing interests CSi is employed by the Canadian Medical Association, who provided financial support for the research.

  • Patient consent Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement The data pertaining to this systematic review are available from the corresponding author on reasonable request.

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