Table 1.
Study | Country | Design | Sample | N | Response rate | Measured dimensions of burnout | Observed measure on quality of care | Association with burnout |
---|---|---|---|---|---|---|---|---|
Fahrenkopf et al. 2008 [22] | USA | Observational prospective cohort study | Paediatric residents | 246 | 50% | EE and DPa | Missing or wrong prescription of drugs | Not associated with adverse patient treatment |
Zantinge et al. 2009 [23] | Netherlands | Observation of video-recorded consultations and questionnaire | GPs | 142 | 89% | EE, DP and PAb | Length of consultations, level of verbal communication, eye contact, and focus on psychosocial issues | PA associated with GPs communicating less affectively, being less patient-centred and less eye contact. EE and DP not associated with adverse patient treatment |
Kushnir et al. 2014 [24] | Israel | Cross-sectional observational study | GPs/Primary care | 136 | 99% | EE, DP and PAc | Number of referrals for diagnostic imaging, specialized health services or nurse sensitive treatments | Associated with more referrals |
Yuguero Torres et al. 2015 [25] | Spain | Prospective observational study (1 year) | GPs | 217 | 50% | EE, DP and PAd | Number of prescribed sick leaves | Not associated with prescribing more or longer sick leaves |
Garrouste-Orgeas et al. 2015 [26] | France | Prospective observational study (2-year) | Doctors, nurses and care workers in intensive care unit | 1988 (330 doctors) | 77% | EE, DP and PAe | Medical errors (i.e., error of execution or error of planning). Adverse events were patient harms caused by medical interventions. | Not associated with adverse patient treatment |
Welp et al. 2015 [19] | Switzerland | Observational study | Doctors and nurses in intensive care unit | 1425 (243 doctors) | Not specified | EE, DP and PAf | Length of stay in hospital and standardized mortality ratio | Associated with increased standardized mortality ratio, but not length of stay |
Pedersen et al. 2015 [27] | Denmark | Register study and questionnaire | GPs | 835 | 72% | EE, DP and PAg | Number of requisitions for PSA among healthy male patients | Not associated with increased requisitions for PSA |
Kwah et al. 2016 [28] | USA | Prospective observational study (1 year) | First-year residents in internal medicine | 54 | 98% (initial), 59% (cohort) | EE and DPh | Medication prescription errors with potential for adverse drug effects | Not associated with increase in medical errors |
Sun et al. 2017 [29] | USA | Cross-sectional observational study | Primary care | 102 | Not specified | EE, DP and PAf | Antibiotic prescriptions for acute respiratory infections | Not associated with increase in prescriptions |
Noroxe et al. 2019 [20] | Denmark | Prospective observational study (6 months) | GPs | 781 | 50.2% | EE, DP and PAi | Conditions not requiring hospitalization in the case of appropriate intervention in primary care (ambulatory care sensitive conditions) | Associated with increased frequency of hospitalizations of ambulatory care sensitive conditions |
Noroxe et al. 2019 [21] | Denmark | Prospective observational study (6 months) | GPs | 409 | 50.2% | EE, DP and PAi | Change of GP (unrelated to change of address) | Associated with increased likelihood of changing GPs |
Abbreviations: EE emotional exhaustion, DP depersonalization, PA personal accomplishment (reduced), GP general practitioner, PSA prostate-specific antigen, MBI Maslach Burnout Inventory
aDefined burnout as EE > 27 and DP > 10
bEE, DP and PA were dichotomized into low and high scores, and outcomes reported for each dimension
cOverall burnout was measured as an average of the responses to items EE and DP (continuous variable)
dScores for each category were divided into low, moderate and high
eBurnout measured as
(1) a combination of high EE and DP with low PA (dimensions dichotomized), and
(2) defined as over a cut-off of a global MBI score of 9
fEach dimension used as a continuous variable
gBurnout defined as high level of emotional exhaustion > 26
hBurnout defined as a high EE or high DP subscore (dichotomized variables)
iBurnout measured
1) in four quartiles for each dimension
2) As a composite score by adding up points corresponding to the quartile of each subscale (reversed score for personal accomplishment);
one point for scores in the first quartile, and two, three and four points for subsequent quartiles, respectively. The composite score was categorized into five groups, with increasing score indicating higher burnout