Health system reform in peri-urban communities: an exploratory study of policy strategies towards healthcare worker reform in Epworth, Zimbabwe
Bibliographic record
Abstract
BACKGROUND: Human resources for health (HRH) remains a critical challenge, according to the Kampala Declaration and Agenda for Global Action of 2008 and the 2030 Sustainable Development Agenda. Available literature on health system reforms does not provide a detailed narrative on strategies that have been used to reform HRH challenges in peri-urban communities. This study explores such strategies implemented in Epworth, Zimbabwe, during 2009-2014, and the implications these strategies might have on other peri-urban areas. DESIGN: Qualitative and quantitative methods were used in an exploratory and cross-sectional design. Purposive sampling was used to select key informants, a sample of healthcare workers that participated in in-depth interviews and community members who took part in focus group discussions. Secondary data were collected through a documentary search. Qualitative data were analysed through thematic analysis. Quantitative secondary data were examined using descriptive statistics and then compared with qualitative data to reinforce analysis. RESULTS: The HRH reform policy strategies that were identified included ministerial intervention; policy review; and revival of the human resource for health planning, financial planning, multi-sector collaboration, and community engagement. These had some positive effects; however, desired outcomes were undermined by financial, material, human resource, and social constraints. CONCLUSIONS: Despite constraints, the strategies helped revive the health delivery system in Epworth. In turn, this had a favourable outlook on post-2008 efforts by the Global Health Alliance towards healthcare worker reform and the 2030 Sustainable Development Agenda in peri-urban communities.
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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 | 0.001 | 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 | 0.001 |
| 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 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".