| Literature DB >> 29304729 |
Lara Studerus1, Regina Ahrens1, Christian Häuptle2, Adrian Goeldlin1, Sven Streit3.
Abstract
BACKGROUND: Switzerland, like many other countries, has a shortage of General Practitioners (GPs). Optional GP training modules in GP practices were offered during the at least 5-year GP training program to increase student and trainee interest in becoming a GP. The training modules had not yet been evaluated. We determined how many Swiss GP trainees became practicing GPs after they completed optional training modules, and if longer modules were associated with higher rates of GP specialization.Entities:
Keywords: GP shortage; GP training; Primary care; Residency
Mesh:
Year: 2018 PMID: 29304729 PMCID: PMC5756440 DOI: 10.1186/s12875-017-0706-1
Source DB: PubMed Journal: BMC Fam Pract ISSN: 1471-2296 Impact factor: 2.497
Fig. 1Flowchart and sources of data. We used an administrative data base of WHM foundation after excluding data entering errors. To assess exposure variables, we used records of evaluation forms replied by >90.6% of all GP trainees after completion of the GP training module in GP training. To assess the outcome to become or not become practicing GP by 2016 we used two prospective approaches: first, an online survey and second, an internet search among non-responders to the survey. Blue underlined are the data we used for this study
Fig. 2New GPs after GP training module: places of working. Places in Switzerland, where new GPs started to work after GP training module (every green dot represents 1 new GP). Data based on ZIP codes. Graphic made by using Google Maps and BatchGeo LLC (http://batchgeo.com)
Characteristics of GP trainees and training module, GP trainers, and GP trainee satisfaction with GP training module in GP practice, stratified by whether former trainees became GPs by 2016
| GP trainee and GP training module | Overall | GPa | Non-GPa | |
|---|---|---|---|---|
| Female, n (%) | 233 (66.4) | 142 (65.1) | 91 (68.4) | 0.53 |
| Age, mean (SD) | 33.7 (4.1) | 34.5 (4.1) | 32.4 (3.6) | <0.001 |
| Year of graduation from medical school, mean, rounded (SD) | 2005 (4) | 2003 (4) | 2007 (4) | <0.001 |
| Time range of training module, n (% per column) | <0.001 | |||
| 2006–2008 | 103 (29.3) | 81 (37.2) | 22 (16.5) | |
| 2009–2012 | 135 (38.5) | 94 (43.1) | 41 (30.8) | |
| 2013–2015 | 113 (32.2) | 43 (19.7) | 70 (52.6) | |
| Average number of years between graduation and start of GP training (SD) | 4.2 (1.9) | 4.5 (1.9) | 3.8 (1.8) | <0.001 |
| Length of training module in months (calculated based on 100%), n (% per column) | 0.03 | |||
| < 6 months | 81 (23.1) | 48 (22.0) | 33 (24.8) | |
| 6–9 months | 222 (63.3) | 132 (60.6) | 90 (67.7) | |
| 9–12 or more months | 48 (13.7) | 38 (17.4) | 10 (7.5) | |
| GP trainer characteristics | ||||
| Female, n (%) | 20 (5.9) | 12 (5.7) | 8 (6.1) | 0.90 |
| Age, mean (SD) | 54.7 (7.6) | 54.6 (7.6) | 54.8 (7.5) | 0.83 |
| Office type, n (% per column) | 0.60 | |||
| Solo practice | 151 (46.6) | 95 (47.5) | 56 (45.2) | |
| Dual practice | 71 (21.9) | 46 (23.0) | 25 (20.2) | |
| Group practice | 102 (31.5) | 59 (29.5) | 43 (34.7) | |
| Tertile of populationb near GP office (calculated by zip code) n (% per column) | 0.43 | |||
| < 4000 inhabitants | 118 (34.3) | 78 (36.5) | 40 (30.8) | |
| 4000–12,000 inhabitants | 114 (33.1) | 66 (30.8) | 48 (36.9) | |
| > 12,000 inhabitants | 112 (32.6) | 70 (32.7) | 42 (32.3) | |
| GP trainee satisfaction with GP training module in practice | ||||
| Overall satisfaction, scalec (SD) | 3.7 (0.7) | 3.8 (0.6) | 3.6 (0.8) | 0.035 |
| Quality of supervision by GP trainer, scored (range 1–42) (SD) | 31.0 (7.6) | 31.6 (7.6) | 30.1 (7.5) | 0.093 |
| Perceived competencies acquired during training, scalec (SD) | 2.9 (0.9) | 3.2 (0.8) | 2.5 (0.8) | <0.001 |
| Quality of teaching by GP trainer, scored (range 1–21) (SD) | 18.8 (3.3) | 18.9 (3.3) | 18.7 (3.4) | 0.74 |
aWe could not asses 30 (7.9%), so the combined groups total 351 instead of 381 individuals
bWe used ZIP codes of GP offices and linked them to 2014 census data to determine population density (source: Bundesamt für Statistik)
cAnswers were rated 1 “not true”, 2 “mostly not true”, 3 “mostly true”, 4 “true”
dWe assessed this with multiple questions. For analysis purposes, we summarized the answers in a single continuous score. The higher the score, the better the evaluation
Fig. 3Time to become practicing GP after optional GP training modules in GP practices. Percentages of practicing General Practitioners (GPs) after an optional GP training module in GP practices using time-to-event analysis. P-values were calculated using log-rank tests
Fig. 4Multivariate analysis of cofactors and their association to become practicing GP. Hazard ratios (HRs) of subgroups are calculated using multivariate cox regression using a random effects models. HRs are adjusted for all cofactors shown in the figure and sorted top-down