Prevalence and pattern of migration intention of doctors undergoing training programmes in public tertiary hospitals in Ekiti State, Nigeria
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Background Emigration of Nigerian doctors, including those undergoing training, to the developed countries in Europe and Americas has reached an alarming rate. Objective This study aimed at assessing the prevalence, pattern, and determinants of migration intention among doctors undergoing residency and internship training programmes in the public tertiary hospitals in Ekiti state, Nigeria. Methods This was a cross-sectional study using a quantitative data collected from 182 doctors undergoing residency and internship training at the two tertiary hospitals. An adapted semi-structured questionnaire was used to collect information on migration intention among the eligible respondents. Univariate, bivariate and multivariate data analyses were done. The level of significance was determined at p -value < 0.05. Results Majority (53.9%) of doctors undergoing training were between 30–39 years, and the mean age was 33.2 ± 5.7 years, male respondents were 68.1%, and 53.8% of the respondents were married. The proportion of doctors undergoing training who had the intention to migrate abroad to practice was 74.2%. A higher proportion of the internship trainees, 79.5%, intended to migrate abroad to practice while the proportion among the resident doctors, was 70.6%. Among the respondents who intended to migrate abroad to practice, 85(63%) intend to migrate abroad within the next 2 years, while the preferred countries of destination were the United Kingdom 65(48.2%), Canada 29 (21.5%), Australia 20 (14.8%) and the United States 18(13.3%). Seventy percent of respondents who intend to migrate abroad had started working on implementation of their intention to migrate abroad. The majority of the junior resident doctors, 56(72.7%), intend to migrate abroad compared with the senior resident doctors, 21(27.3%), ( χ 2 = 14.039; p < 0.001). The determinants of migration intention are the stage of residency training and level of job satisfaction. Conclusion There is a high prevalence of migration intention among the doctors undergoing training in the public tertiary hospitals in Ekiti State, Nigeria, with the majority already working on their plans to migrate abroad. Doctors undergoing training who are satisfied with their job and those who are in the senior stage of residency training programme are less inclined to migrate abroad. Recommendations The hospital management in the tertiary hospitals should develop retention strategies for human resources for health, especially doctors undergoing training in their establishment, to avert the possible problems of dearth of specialists in the tertiary health facilities. Also, necessary support should be provided for the residency training programme in the tertiary health institutions to make transition from junior to senior residency stage less strenuous.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it