A systematic review of participatory approaches to empower health workers in low- and middle-income countries, highlighting Health Workers for Change
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
This systematic review assesses participatory approaches to motivating positive change among health workers in low- and middle-income countries (LMICs). The mistreatment of clients at health centres has been extensively documented, causing stress among clients, health complications and even avoidance of health centres altogether. Health workers, too, face challenges, including medicine shortages, task shifting, inadequate training and a lack of managerial support. Solutions are urgently needed to realise global commitments to quality primary healthcare, country ownership and universal health coverage. This review searched 1243 titles and abstracts, of which 32 were extracted for full text review using a published critical assessment tool. Eight papers were retained for final review, all using a single methodology, 'Health Workers for Change' (HWFC). The intervention was adapted to diverse geographical and health settings. Nine indicators from the included studies were assessed, eliciting many common findings and documenting an overall positive impact of the HWFC approach. Health workers acknowledged their negative behaviour towards clients, often as a way of coping with their own unmet needs. In most settings they developed action plans to address these issues. Recommendations are made on mainstreaming HWFC into health systems in LMICs and its potential application to alleviating stress and burnout from COVID-19.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 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 it