| Literature DB >> 35410191 |
Yang Fang1, Michael Soljak2, Shawn Lien Ler Tan1,3, Helen E Smith4.
Abstract
BACKGROUND: Like many other countries, Singapore needs to support its ageing population by attracting more doctors into general practice (GP) and family medicine (FM). To achieve this requires a better understanding of what attracts or deters medical students. We conducted a cross-sectional survey among medical students in Singapore.Entities:
Keywords: Career choice; Family medicine; General practice; General practitioners; Medical school; Medical students; Primary care; Singapore; Surveys and questionnaires
Mesh:
Year: 2022 PMID: 35410191 PMCID: PMC8995911 DOI: 10.1186/s12909-022-03298-7
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Demographic characteristics of medical students
| Demographic variable | N | Percent |
|---|---|---|
| School (M = 583) | ||
| NUS Yong Loo Lin School of Medicine (NUS YLL) | 241 | 41% |
| NTU Lee Kong Chian School of Medicine (NTU LKC) | 265 | 45% |
| Duke-NUS Medical School (Duke-NUS) | 77 | 13% |
| Clinical training phase (M = 583) | ||
| Preclinical | 296 | 50.8% |
| Clinical | 287 | 49.2% |
| Age group ( | ||
| Below 21 | 112 | 28.6% |
| 21–25 | 233 | 59.6% |
| 26–30 | 35 | 9.0% |
| 31–35 | 10 | 2.6% |
| 36–40 | 1 | 0.3% |
| Gender ( | ||
| Male | 186 | 47.6% |
| Female | 195 | 49.9% |
| Prefer not to say | 10 | 2.6% |
| Ethnic group ( | ||
| Chinese | 358 | 91.6% |
| Malay | 2 | 0.5% |
| Indian | 21 | 5.4% |
| Others | 10 | 2.6% |
There were approximately 1500, 640, and 320 students enrolled in NUS YLL, NTU LKC, and Duke-NUS, respectively, with an approximate response rate of 16, 41, and 24%. Across the schools, 41% of the students were in the pre-clinical and 59% of the students were in the clinical phases of their study
Mean, SD of items and their loading on each component of “factors important to career choice”
| Mean | SD | Component loadings | |||
|---|---|---|---|---|---|
| 1. Practical considerations | 2. Style of working | 3. career potential | |||
| Reasonable hours | 4.25 | 0.80 | .792 | ||
| Length of training | 3.68 | 0.94 | .703 | ||
| Location flexibility | 3.62 | 0.97 | .690 | ||
| Income potential | 4.03 | 0.79 | .434 | ||
| Community-based working | 3.80 | 0.88 | .811 | ||
| Teamwork | 4.01 | 0.79 | .718 | ||
| Close relationships with patients | 3.98 | 0.82 | .673 | ||
| Career development opportunities | 4.39 | 0.66 | .805 | ||
| Research opportunities | 3.02 | 1.06 | .607 | ||
| Professional status | 3.90 | 0.79 | .593 | ||
| Job satisfaction | 4.77 | 0.45 | .492 | ||
| Variance explained | 22.6% | 26.3% | 14.1% | ||
For Mean and SD, 1 = strongly disagree, 5 = strongly agree
First consideration of choosing primary care careers
| N | Percent | |
|---|---|---|
| Before entering medical school | 155 | 38.6% |
| Medical school (preclinical years) | 100 | 24.9% |
| Medical school (clinical years) | 139 | 34.5% |
| Missing data | 8 | 2.0% |
| Total | 402 | 100% |
Mean, SD of items and their loading on each component of “what GP/FM is more likely to offer than other medical professions”
| Mean | SD | Component loadings | |||
|---|---|---|---|---|---|
| 1. Ambivalent attributes | 2. Potential limitations | 3. Potential strengths | |||
| Teamwork | 3.42 | 0.99 | .838 | ||
| Ample professional and collegiate support | 3.49 | 0.88 | .650 | ||
| Research opportunities | 2.72 | 0.91 | .636 | ||
| Career development opportunities | 3.04 | 0.90 | .576 | ||
| Opportunities to innovate | 2.98 | 0.95 | .551 | ||
| job satisfaction | 3.65 | 1.02 | .524 | ||
| Higher income | 2.96 | 0.90 | .937 | ||
| Professional status | 3.05 | 0.93 | .604 | ||
| Reasonable working hours | 4.65 | 0.60 | .794 | ||
| Close relationship with patients | 4.61 | 0.64 | .747 | ||
| Variance explained | 32.4% | 14.1% | 10.6% | ||
For Mean and SD, 1 = strongly disagree, 5 = strongly agree
Mean, SD of items and their loading on each component of “other peoples’ views of GP/FM”
| Mean | SD | Component loadings | ||
|---|---|---|---|---|
| 1. within the medical community | 2. outside the medical community | |||
| Peers at medical school | 5.33 | 2.04 | .847 | |
| Overall culture of medical school (including school curriculum) | 5.68 | 2.20 | .836 | |
| Lecturers and trainers at medical school | 6.17 | 1.88 | .810 | |
| Doctors on placements in other specialties | 5.05 | 1.91 | .762 | |
| Family members and/or friends who have a medical background (non-GPs) | 5.37 | 1.94 | .654 | |
| GPs on placements | 7.09 | 1.81 | .487 | |
| General public | 5.73 | 1.99 | .886 | |
| Entertainment, TV (e.g., sitcoms, documentaries) | 5.77 | 1.99 | .848 | |
| Newspapers, online news articles or TV news | 6.19 | 1.84 | .801 | |
| Family members and/or friends (without medical background) | 5.19 | 2.45 | .733 | |
| Family members and/or friends who are GPs | 6.72 | 2.00 | .308 | .337 |
| Variance explained | 43.6% | 14.3% | ||
For Mean and SD, 0 = extremely negative, 10 = extremely positive
Future of primary care
| Mean | SD | Loading on single component | |
|---|---|---|---|
| More doctors will be working in primary care | 7.80 | 1.52 | .669 |
| More care will be delivered in community settings | 7.78 | 1.61 | .849 |
| GPs’ and FPs’ roles will be expanded | 7.32 | 1.87 | .798 |
| Patients will increasingly opt for primary care settings for chronic care | 6.91 | 1.99 | .783 |
| Career prospects in GP/FM in Singapore are improving | 6.55 | 1.95 | .701 |
| Variance explained | 58.2% |
For Mean and SD, 0 = least likely, 10 = most likely
Overall model predicting the likelihood of choosing primary care careers
| Predictor | Multivariable linear regression | |||||
|---|---|---|---|---|---|---|
| p | Raw estimate | Standardized estimate | 95% Lower limit | 95% Upper limit | VIF | |
| Intercept | .648 | −.65 | ||||
| Agea | .538 | .09 | .03 | −.20 | .39 | 1.05 |
| Genderb | .530 | −.13 | −.03 | −.53 | .28 | 1.05 |
| Practical considerations (own career) | .91 | .23 | .56 | 1.27 | 1.14 | |
| Style of working (own career) | .69 | .19 | .34 | 1.04 | 1.24 | |
| Career potential (own career) | −1.48 | −.31 | −1.91 | −1.04 | 1.11 | |
| Ambiguous attributes (primary care careers) | 1.11 | .31 | .74 | 1.49 | 1.42 | |
| Potential limitations (primary care careers) | .828 | .03 | .01 | −.27 | .34 | 1.39 |
| Potential strength (primary care careers) | .42 | .09 | .01 | .83 | 1.11 | |
| Perceptions of GP/FM by groups in the medical community | .197 | .11 | .07 | −0.06 | .29 | 1.60 |
| Perceptions of GP/FM by groups outside the medical community | .461 | −.05 | −.04 | −0.19 | .09 | 1.35 |
| View of the future of primary care | .905 | .01 | .01 | −0.17 | .19 | 1.30 |
aAge was entered as a continuous variable
bThere were nine participants who selected “prefer not to say” for gender. They were excluded in the analysis shown above. However, when included, the significance of all variables remained unchanged except for the gender variable. Those selecting “prefer not to say” had lower preference for primary care careers (Mprefer not to say = 2.44, compared to Mmale = 5.71, Mfemale = 5.83, on a scale of 0 to 10). The reference level for gender was male