Estimating frontline health workforce for primary healthcare service delivery in Bauchi State, Nigeria
Bibliographic record
Abstract
BACKGROUND: In Nigeria, adoption of the primary healthcare approach led to the establishment of numerous primary healthcare facilities, and training of new cadres of community health officers (CHOs), community health extension workers (CHEWs) and junior community health extension workers (JCHEWs). These new groups complemented the work of nurses and midwives. METHODS: We conducted a workload indicators of staffing needs study in the 20 local governments of Bauchi State, from March 2016 to September 2018, in all 317 ward-level primary healthcare facilities. RESULTS: Findings show a total of 128 existing nurses/midwives, a calculated requirement of 402 and a shortage of 274 nurses/midwives. Existing CHOs/CHEWs were 735, a calculated requirement was 948 and a shortage of 213 CHOs/CHEWs. The JCHEWs were 477, a calculated requirement of 481, with a shortage of four JCHEWs. CONCLUSION: Results from this study highlight the unequal distribution of health workers; the abundance of some frontline workers in some communities and dire need of others. We emphasize the need to strengthen health workforce planning to deliver essential primary healthcare services, particularly in rural and remote communities with high levels of vulnerability to diseases.
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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 | 0.003 | 0.000 |
| 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 | 0.000 |
| 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 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".