Developing decentralised health information systems in developing countries –cases from Sierra Leone and Kenya
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
Health service provision is a public concern that mostly takes place at community level, through primary health care. Using cases from Sierra Leone and Kenya, this study shows how country health information systems, producing simple information products such as quarterly bulletins and league tables being distributed widely, have enabled the communities to be engaged in improving the health status of the population. The community based information systems were part of a national system and the usefulness of comparing local data with data from other communities and from across the country in pursuing equity in health services provision is demonstrated. A community based information system is thus benefiting from being part of and integrated with the larger national system. The article presents and discusses community based participatory approaches to developing information systems which are enabling the community to take ownership and ‘cultivate’ culturally appropriate systems. Illustrated by the cases, the article argues that modern ICT and Internet based technologies, and even ‘cloud’ based infrastructures, are indeed appropriate technologies even at community level in rural Africa.
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 | 0.006 | 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 | 0.006 |
| Open science | 0.002 | 0.001 |
| 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