Table 1. Characteristics of Studies, Populations, and Outcomes Included in the Review.
Study | Country | Health care setting | Research design | Sample size | Men, % | Mean age, y | Specialties | Working experience | Measure of wellnessa | Categories of stressors identified | Newcastle-Ottawa Scale Score |
---|---|---|---|---|---|---|---|---|---|---|---|
Abdulghani et al,11 2015 | Saudi Arabia | Hospital and primary care | Cross-sectional | 318 | 60 | 27.9 | Multiple | Residency year 1-4 | 2, Kessler-10 psychological distress instrument | Specialty grade, demographics, poor work-life balance, work demands | 4 |
Abdulghani et al,30 2014 | Saudi Arabia | Hospital | Cross-sectional | 404 | 63 | Not stated | Multiple | Internship | 2, Kessler-10 psychological distress instrument | Demographics, specialty | 4 |
Afzal et al,31 2010 | US | Hospital and primary care | Cross-sectional | 134 | 58 | Not stated | Multiple | Residency | 1, Maslach Burnout Inventory | Specialty, demographics, poor work-life balance | 7 |
Al-Ma'mari et al,32 2016 | Canada | Hospital | Cross-sectional | 47 | 13 | Not stated | Obstetrics and gynecology | Residents | 1, Maslach Burnout Inventory | Poor work environment | 5 |
Antoniou et al,33 2003 | Greece | Public hospital, clinics | Cross-sectional | 355 | 54 | Age range, 25-42 | Not specified | All training grades | 2, Occupational Stress Index | Poor career development, poor work-life balance, poor work environment, personal and self-efficacy, concerns about patient care, work demands, financial worries | 6 |
Baer et al,34 2017 | US | Public hospital | Cross-sectional | 258 | 21 | 29 | Pediatrics | Residents | 1, 2-item burnout measure validated again Maslach Burnout Inventory | Demographics, perceived/reported poor mental or physical health poor work-life balance, work demands, seniority and grade, poor work environment | 7 |
Baldwin et al,35 1997 | UK | Hospital | Prospective cohort | 142 | 55 | 25 | Not specified | Senior house officers | 2, General Health Questionnaire | Work demands, concerns about patient care | 6 |
Bellolio et al,36 2014 | US | Hospital | Cross-sectional | 191 | 53 | Not stated | Multiple | Residents | 1, 2, Professional Quality of Life Scale which includes measures on burnout | Demographics, specialty, personal and self-efficacy, work demands | 2 |
Blanchard et al,37 2010 | France | Hospital | Cross-sectional | 204 | 60 | Median, 28 | Oncology and hematology | Residents | 1, Maslach Burnout Inventory | Work demands, poor career development, concerns about patient care | 8 |
Byrne et al,38 2016 | Ireland | Hospital | Cross-sectional | 270 | 39 | Not stated | Multiple | Internship | 3, General Health Questionnaire | Poor career development, perceived/reported poor mental or physical health, poor work-life balance | 5 |
Cohen and Patten,10 2005 | Canada | Hospital | Cross-sectional | 415 | 47 | 29 | Multiple | Residents | 2, Sources and amount of perceived stress | Poor work-life balance, financial worries, work demands, poor work environment, perceived/reported poor mental or physical health | 4 |
Cooke et al,39 2013 | Australia | Primary care | Cross-sectional | 128 | 33 | >20 | General practice | Registrar level | 1,3, Single-item scale for burnout validated against Maslach Burnout Inventory, professional quality-of-life scale | Concerns about patient care, seniority and grade, poor work environment, demographics, work demands, personal and self-efficacy, poor work-life balance, perceived/reported poor mental or physical health | 5 |
Creed et al,40 2014 | Australia | Hospital and primary care | Cross-sectional | 355 | 32 | 28 | Multiple | <4 y of graduation | 1,2, Copenhagen Burnout Inventory, 4-item academic stress scale | Work demands, financial worries, poor career development | 5 |
Dyrbye et al,41 2018 | US | Hospital and primary care | Cross-sectional | 3588 | 49 | Not stated | Multiple | Residents | 1, Maslach Burnout Inventory | Specialty, demographics, poor work-life balance, financial worries | 8 |
Esan et al,42 2014 | Nigeria | Hospital | Cross-sectional | 128 | 73 | Not stated | Multiple | Residents | 3, General Health Questionnaire | Demographics, financial worries, poor work environment, poor career development, work demands | 6 |
Firth-Cozens,43 1992 | UK | Hospital | Cross-sectional | 170 | Not stated | Not stated | Multiple | Postgraduate year 1 | 3, General Health Questionnaire | Personal and self-efficacy, demographics, poor work environment, perceived/reported poor mental or physical health | 6 |
Firth-Cozens,44 1990 | UK | Hospital | Cross-sectional | 70 | 0 | Not stated | Multiple | Postgraduate year 1 | 3, General Health Questionnaire | Poor work environment, concerns about patient care, poor work-life balance, work demands, poor career development, financial worries | 4 |
Firth Cozens and Morrison,45 1989 | UK | Hospital | Cross-sectional | 173 | 57 | 24.6 | Multiple | Postgraduate year 1 | 3, General Health Questionnaire | Concerns about patient care, poor work environment, work demands | 4 |
Galam et al,46 2013 | France | Primary care | Cross-sectional | 169 | 53 | 25.4 | General practice | General practice trainees | 1, Maslach Burnout Inventory | Demographics, work demands, poor work environment, poor work-life balance, poor career development | 6 |
Galam et al,47 2017 | France | Primary care | Longitudinal | 173 | 31.3 | 26.4 | General practice | General practice trainees | 1, Maslach Burnout Inventory | Personal and self-efficacy | 6 |
Gouveia et al,48 2017 | Brazil | Hospital | Cross-sectional | 129 | 48 | Not stated | Multiple | Residents | 1, Maslach Burnout Inventory | Concerns about patient care, specialty | 6 |
Guenette and Smith,49 2017 | US | Hospital | Cross-sectional | 94 | 63 | Not stated | Radiology | Residents | 1, Maslach Burnout Inventory | Poor work-life balance, seniority, demographics | 7 |
Hameed et al,50 2018 | Saudi Arabia | Hospital | Cross-sectional | 181 | 41 | 27.6 | Multiple | Residents | 1, Maslach Burnout Inventory | Seniority, demographics, specialty | 5 |
Hannan et al,51 2018 | Ireland | Hospital | Cross-sectional | 101 | 44 | 28 | Multiple | Interns | 1,3, Maslach Burnout inventory and General Health Questionnaire | Poor work environment, poor career development, concerns about patient care, financial worries, perceived/reported poor mental or physical health, work demands | 4 |
Haoka et al,13 2010 | Japan | Hospital | Cross-sectional | 348 | 67 | Men, 26.2; women, 25.6 | Multiple | Residents | 3, General Health Questionnaire | Perceived/reported poor mental or physical health, work demands, poor work-life balance, personal and self-efficacy | 5 |
Jex et al,52 1991 | US | Hospital | Cross-sectional | 1785 | 70 | 30 | Multiple | Residents | 2, General and work-related psychological strain | Work demands, concerns about patient care, perceived/reported poor mental or physical health | 7 |
Kassam et al,53 2015 | Canada | University of Calgary trainees | Cross-sectional | 317 | 39 | 30.9 | Multiple | Residents | 1,3, Copenhagen Burnout Inventory and work satisfaction | Work demands, personal and self-efficacy, perceived/reported poor mental or physical health | 7 |
Kimo Takayesu et al,542014 | US | Residency program | Cross-sectional | 218 | 59 | Not stated | Emergency medicine | Residents | 1, Maslach Burnout Inventory | Poor work environment, personal and self-efficacy | 5 |
Kshatri et al,55 2017 | India | 3 Hospitals | Cross-sectional | 250 | 68 | 29 | Multiple | Residents | 2, Workplace Stress Scale | Seniority, demographics | 4 |
Maraolo et al,17 2017 | Europe | Trainee association -microbiology | Cross-sectional | 416 | 38 | 32 | Microbiology | Residents | 1, Own burnout questionnaire | Demographics, poor work environment | 4 |
Ndom and Makanjuola,56 2004 | Nigeria | Teaching hospital | Cross-sectional | 84 | 91 | 33 | Multiple | Residents | 2, List of stressors | Work demands, poor work environment, personal and self-efficacy, perceived/reported poor mental or physical health, demographics | 2 |
Ochsmann et al57 2011 | Germany | Hospital | Cross-sectional | 792 | 44 | 28.9 | Multiple | All training grades | 3, Recovery Stress Questionnaire | Work demands, poor work environment | 7 |
Ogundipe et al,58 2014 | Nigeria | Hospital setting | Cross-sectional | 204 | 58 | 33.4 | Multiple | Residents | 1,3, General Health Questionnaire and Maslach Burnout Inventory | Work demands, personal and self-efficacy, demographics, poor work environment | 7 |
Ogunsemi et al,12 2010 | Nigeria | Hospital | Cross-sectional | 58 | 74 | 35.7 | Multiple | Residents | 2,3, Measured perception and sources of stress and perception of well-being | 3 | |
Demographics, poor career development, personal and self-efficacy, poor work environment, concerns about patient care, work demands, financial worries, perceived/reported poor mental or physical health | |||||||||||
Okpozo et al,59 2017 | US | 3 Teaching hospitals | Cross-sectional | 203 | 52 | Not stated | Multiple | Residents | 1, Maslach Burnout Inventory | Personal and self-efficacy, poor work environment | 4 |
Pan et al,60 2017 | Australia | Hospital | Cross-sectional | 540 | 40 | Not stated | Multiple | Postgraduate Year 1-3 | 2, Perception of stress | Work demands, poor career development, personal and self-efficacy, poor work environment, concerns about patient care | 8 |
Prins et al,61 2010 | Holland | Hospital | Cross-sectional | 2115 | 39 | 31.5 | Multiple | Residents | 1, Maslach Burnout Inventory | Demographics, poor work-life balance, specialty | 8 |
Saini et al,62 2010 | India | Hospital | Cross-sectional | 721 | 53 | 27.5 | Multiple | Residents | 2,3, Depression Anxiety Stress Scale | Seniority, specialty, work demands, poor career development, personal and self-efficacy | 5 |
Sochos et al,63 2012 | UK | Hospital and primary care | Cross-sectional | 184 | 40 | 30.6 | Multiple | All training grades | 1, Maslach Burnout Inventory | Personal and self-efficacy, poor work environment, perceived/reported poor mental or physical health | 4 |
Stucky et al,4 2009 | US | Hospital | Prospective study | 144 | 36 | Interns, 27.9; residents, 29.4 | Pediatric and internal medicine | Interns and residents | 3, Measuring emotional state every 90 min throughout each duty shift | Seniority, demographics, work demands, poor health | 5 |
Taylor-East et al,64 2013 | Malta | Hospital | Cross-sectional | 117 | 53 | Not stated | Multiple | Foundation years 1 and 2 | 3, General Health Questionnaire | Seniority, demographics, personal and self-efficacy, poor career development | 7 |
Toral-Villanueva et al,65 2009 | Mexico | Hospital | Cross-sectional survey | 312 | 57 | 28 | Multiple | All training grades | 1, Maslach Burnout Inventory | Concerns about patient care, perceived/reported poor mental or physical health, work demands, seniority | 8 |
Tyssen et al,662005 | Norway | Hospital | Longitudinal | 371 | 58 | 29 | Multiple | Interns | 2, Modified version of Cooper Job Stress Questionnaire | Demographics, personal and self-efficacy, work demands, poor work environment | 7 |
Verweij et al,67 2017 | Holland | Hospital | Cross-sectional | 2115 | 39 | 31.5 | Multiple | Residents | 1, Maslach Burnout Inventory | Work demands, personal and self-efficacy, demographics, poor career development | 8 |
West et al,68 2011 | US | Hospital | Cross-sectional | 16394 | 55.7 | Not stated | Multiple | Residents | 1, Maslach Burnout Inventory | Demographics, financial worries, seniority | 8 |
Woodside et al,69 2008 | US | Hospital and primary care | Cross-sectional | 155 | 57 | 35 | Family medicine and psychiatry | Residents | 1, Maslach Burnout Inventory | Demographics, poor work-life balance, specialty | 4 |
Zis et al,702015 | Greece | Hospital | Cross-sectional | 116 | 45 | 34.5 | Neurology | Residents | 1, Maslach Burnout Inventory | Demographics, work demands, poor work-life balance, poor career development | 7 |
Zubairi and Noordin,71 2016 | Pakistan | Hospital | Cross-sectional | 110 | 54 | Not stated | Multiple | Residents | 1, Maslach Burnout Inventory | Work demands, poor work environment | 4 |
Code for measure of wellness: 1, burnout (eg, Maslach Burnout Inventory); 2, stress (eg, Kessler-10 psychological distress instrument); and 3, other measures (eg, General Health Questionnaire).