| Literature DB >> 29724171 |
Julian Jakob1,2,3, Christine Cohidon4,5, Jacques Cornuz4, Kevin Selby4,6.
Abstract
BACKGROUND: Few data exist to support the observation that general practitioners (GPs) occupy many important positions in our communities or to characterize which GPs devote more of their time to such activities. We sought to characterize community-based complementary medical activities performed by GPs in the canton Vaud, Switzerland.Entities:
Keywords: Community medicine; Complementary activities; Cross-sectional; Primary care; Rural area
Mesh:
Year: 2018 PMID: 29724171 PMCID: PMC5934800 DOI: 10.1186/s12875-018-0738-1
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Demographic distribution of GPs participating (n = 162)a
| General characteristics | |
|---|---|
| Mean age – years (±SD) | 54.3 (±9.2) |
| Female gender – N (%) | 55 (32.7%) |
| Country of medical education Switzerland – N (%) | 147 (87.5%) |
| Mean years since doctor’s diploma – years (±SD) | 28.2 (±9.8) |
| Specific characteristics | |
| In solo practice – N (%) | 48 (30.2%) |
| Physician’s office location rural - N [%] | 48 (28.6%) |
| Mean number of hours worked per week - h (±SD) | 42.7 (±13.3) |
| Median number of hours worked per week - h (IQR) | 43 (31–50) |
| Physicians working full timeb - N (%) | 84 (51.8%) |
| Member of a medical network – N (%) | 61 (36.3%) |
aSix participants excluded because of missing demographic data
bIn Switzerland, 50 h of activity weekly are considered a 100% workload
Fig. 1Total number of activities performed by general practitioner (GP), ranging from 0 to 12 (N = 162).aSix participants excluded because of missing demographic data
Number of, workload, remuneration and characteristic of participating GPs stratified by activity categories (n = 162)a
| Category [question number] | Number of GPs (%) | Median hours per month spent on this activity | Number of GPs reporting at least one remunerated activity (% of GPs implicated) | Gender female | Mean age (±SD) | Practice in rural area |
|---|---|---|---|---|---|---|
| At least one activity [All questions: 1–17] | 149 (92%) | 23.4 h / mth | 123 (83%) | 47 (32%) | 54.5 (±9.23) | 45 (30%) |
| Teaching [1, 2] | 83 (51%) | 12.2 h / mth | 74 (89%) | 21 (38%) | 55.2 (± 1.02) | 27 (56%) |
| Care giving in specific structures [3–7] | 90 (56%) | 12.1 h / mth | 74 (77%) | 27 (49%) | 55.1 (± 0.99) | 32 (67%) |
| Medical expert or company doctor [8, 9] | 66 (41%) | 7.8 h / mth | 52 (81%) | 16 (29%) | 55.0 (± 1.11) | 24 (50%) |
| Community care giving [10–15] | 117 (72%) | 7.6 h / mth | 73 (61%) | 31 (58%) | 54.6 (± 0.86) | 38 (79%) |
| Other activities [16, 17] | 41 (25%) | 7.7 h / mth | 29 (69%) | 9 (16%) | 57.1 (± 1.19) | 12 (25%) |
aSix participants excluded because of missing demographic data
Poisson regression model of physician characteristics associated with increasing number of activities outside regular practice (N = 162)a
| Characteristic (N = 162) | Univariate IRR (95% CI) | Multivariate IRR (95% CI) | ||
|---|---|---|---|---|
| Gender (female) ( | 0.66 (0.51–0.86) | 0.002 | 0.80 (0.60–1.05) | 0.11 |
| Age (years)b | 1.01 (1.00–1.02) | 0.042 | – | – |
| Years since obtaining medical diploma (years) | 1.01 (1.00–1.02) | 0.024 | – | – |
| Trained in Switzerland ( | 0.99 (0.69–1.42) | 0.95 | – | – |
|
| 1.02 (1.01–1.02) | < 0.001 |
|
|
| 1.32 (1.05–1.65) | 0.015 |
|
| |
| Solo practice (N = 48) | 0.94 (0.72–1.22) | 0.63 | – | – |
| Physician member of coordinated network (ie Delta network) ( | 1.20 (0.96–1.49) | 0.11 | – | – |
IRR Incident rate ratio. Statistically significant values in multivariate regression are shown in bold
aSix participants excluded because of missing demographic data
bAge not included in multivariate model despite being at p < 0.05 because of significant co-linearity with years since obtaining medical diploma