ArticleBMJ open2024
Uses of private health provider data for governance in low-income and middle-income countries: results from a scoping review.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work grew from an interest in understanding how private data are used for health system governance in low-income and middle-income countries (LMICs).
objectiveWe conducted a scoping review to understand how the public sector collects routine data from the private health sector and uses it for governance purposes. The private health sector was defined to include both formal and informal, for-profit or non-profit, actors delivering healthcare services.
findingsWe identified 4014 individual English language studies published between 2010 and 2021. We reviewed titles and abstracts of all, with 50% reviewed by two authors to ensure a common application of inclusion criteria. 89 studies were selected for review in full; following this, 26 articles were included in the final selection as they directly report on the use of routine private sector data for governance in LMICs. Only English language studies were included, limiting the scope of possible conclusions.
resultsData were most commonly collected by the Ministry of Health or a subministerial office, with extraction from District Health Information System 2 specifically cited for three studies. 16 studies collected data on infrastructure and distribution, 15 on service delivery, 12 on health financing, 7 on pharmaceuticals and other consumables, 4 on health workforce, 4 on quality of care and 4 on epidemic surveillance.
conclusionThe studies identified provide examples of the public sector's capacity to collect and use data routinely collected from the private sector to perform essential governance functions. The paucity of studies identified is an indication that more attention is needed to ensure that this key area of health system governance is undertaken and that lessons learnt are shared. This review provides insights to understanding private sector health data collection and use for governance in LMICs, and for guiding activities to assess and improve this according to country context and capacity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.