Retention and motivation of health workers in remote and rural areas in Cross River State, Nigeria: a discrete choice experiment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Cross River State is making investments geared towards ensuring equitable distribution and improved retention of its frontline health workforce in remote and rural areas. This informed the conduct of a discrete choice experiment to determine the motivating factors supporting the retention of healthcare workers. METHODS: Study participants were 198 final year students of nursing, midwifery and community health and frontline health workers. Eight focus group discussions and 38 key informant interviews were conducted to obtain information about the dimensions of the work conditions that are important to frontline health workers when choosing to take up posting or stay in their rural work locations. RESULTS: Health workers are 2.7 times more likely to take up a rural posting or continue to stay in their present rural duty posts if they receive a salary increment. They are also four times more likely to take a rural job posting if a basic housing or a housing allowance is provided. CONCLUSION: Improving working conditions of frontline health workers in terms of adequate staff strength, good skills mix and equipment, etc., as well as improving opportunities for career advancement will support retention in rural health posts.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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