Emigration plans after graduation of clinical medical students of ebonyi state university Abakaliki, Nigeria: Implications for policy
Bibliographic record
Abstract
OBJECTIVE: To determine the emigration plans after graduation of clinical medical students of Ebonyi State University Abakaliki, Nigeria. METHODS: A descriptive cross-sectional study design was used. All clinical medical students of the University willing to participate were included. Information was obtained using a pre-tested self-administered questionnaire. Outcome measure included proportion of students willing to emigrate and those willing to practice in rural areas after graduation. RESULTS: A total of 285 students participated in the study, (response rate, 92.5%). Majority, 93.3% intend to pursue specialist training after graduation. Minor proportion, 13.9% intend to specialize in Nigeria, whereas 74.4% prefer to specialize outside Nigeria. Major reasons for preferring specialist training abroad included good equipment/facilities, 33.8%, better remuneration/quality of life, 27.8%; and improved skills, 18.7%. Countries of interest for training outside Nigeria included Canada, 28.3%; United Kingdom, 23.2%; and the United States of America, 18.2%. Minor proportion, 17.2% intend to practice in rural area after graduation. Predictors of willingness to emigrate included being in 400 level class, (adjusted odds ratio (AOR) =2.0, 95% CI = 1.1-4.1), being single, AOR = 4.0, 95% CI = 1.2-13.3) and having decided on specialty of choice, (AOR = 2.6, 95% CI = 1.5-4.5). Predictors of willingness to serve in rural area included family residence in urban area, (AOR = 0.2, 95% CI = 0.2-0.8) and intention to specialize in Nigeria, (AOR = 3.7, 95% CI = 1.6-8.5). CONCLUSIONS: Majority of students intend to pursue specialist training and prefer training abroad. Minor proportions were willing to specialize in Nigeria and serve in rural areas. The students may have perceived medical practice in Nigeria as serving in rural areas hence students willing to work in rural areas were more likely to specialize in Nigeria. This may adversely affect health service delivery in Nigeria if left unchecked. Nigerian authorities should ensure that medical graduates willing to practice in Nigeria are not deterred. Also, plans to encourage doctors to practice in Nigeria should receive desired attention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.081 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".