From: How does burnout affect physician productivity? A systematic literature review
Author(s) | Year | Location | Study population | Response rate | Sample size and characteristics | Burnout measure | Burnout Prevalence |
---|---|---|---|---|---|---|---|
Hoff et al. [23] | 2002 | United States | Hospitalists (≥ 50% of time engaged in practice of general hospital medicine, or research and education related to general hospital medicine) who were members of the US National Association of Inpatient Physicians | 48% | n = 393 hospitalists | 21-item job burnout measure by Pines, Anderson, and Kafry (1981) | No risk of burnout = 59.1% |
≤5 years since graduation: over 25% | At risk of burnout = 27.6% | ||||||
Males: ~75% | Burned out = 13.4% | ||||||
Females: ~25% | |||||||
Mean age = 40 yrs | |||||||
Ruitenburg et al. [21] | 2012 | The Netherlands | Hospital physicians working in one academic medical centre | 51% | n = 422 | Maslach Burnout Inventory | Medical doctor: |
Medical doctors: 54% | Mean EE = 13.3 ± 8.0 | ||||||
Medical residents: 46% | Mean DP = 4.5 ± 4.1 | ||||||
Medical doctors: | Burnout indicative = 6% | ||||||
Males: 52.0% | |||||||
Females: 48.0% | |||||||
Mean age = 47 ± 8.9 yrs | |||||||
Years of practice = not reported | |||||||
Siu et al. [14] | 2012 | Hong Kong | 1,000 public hospital doctors were randomly sampled from the 3,878 Hong Kong Public Doctors’ Association registry | 23% | n = 226 physicians | Maslach Burnout Inventory | Mean Scores: |
Males: 66.8% | EE = 27.2 ± 13.2 | ||||||
Females: 33.2% | DP = 10.9 ± 7.6 | ||||||
Median age [Interquartile range] = 37.0 [30.5, 44.0] yrs | PA = 31.6 ± 8.8 | ||||||
Median years of practice [Interquartile range] = 12.0 [6.0, 20.0] | |||||||
Soler et al. [22] | 2008 | 12 European Countries: Bulgaria, Croatia, France, Greece, Hungary, Italy, Malta Poland, Spain, Sweden, Turkey, United Kingdom | Family Doctors who worked at least 50% of the time either in private practice or state employment. There is no information provided in the article regarding how the sample in each country was chosen. | 41% | n = 1393 family doctors | Maslach Burnout Inventory | EE (95% CI): |
Males: 54.6% | |||||||
Females: 45.4% | High = 43.0 (40.5, 45.6); Medium = 40.0 (37.5, 42.6); Low = 17.0 (15.1, 19.0) | ||||||
Mean age = 45.4 ± 8.5 yrs | DP (95% CI): | ||||||
Mean years since graduation = 19.2 ± 8.5 | High = 35.3 (32.9, 37.9); Medium = 27.2 (24.9, 29.6); Low = 37.5 (35.0, 40.0) | ||||||
PA (95% CI): | |||||||
High = 32.0 (29.6, 34.5); Medium = 28.5 (26.2, 30.9); Low = 39.5 (37.0, 42.1) | |||||||
Zhang & Feng [24] | 2011 | China | Randomly selected physicians practicing in one of 67 state-owned medical institutions in Hubei province. The sample included medical assistants, residents, attendings, associate chiefs and chiefs. | 94% | n = 1451 physicians | Maslach Burnout Inventory | Not reported |
Males: 66.2% | |||||||
Females: 33.8% | |||||||
Age: | |||||||
≤ 30 yrs = 38.3% | |||||||
31-40 yrs = 37.2% | |||||||
41-50 yrs = 16.6% | |||||||
≥ 51 yrs = 7.9% | |||||||
Years of service: | |||||||
≤ 5 yrs = 37.9% | |||||||
6-15 yrs = 41.6% | |||||||
16-25 yrs = 16.0% | |||||||
≥ 26 yrs = 4.5% |