ArticleBMC health services research2024
Is qualitative social research in global health fulfilling its potential?: a systematic evidence mapping of research on point-of-care testing in low- and middle-income contexts.
Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- "I think it is quite naive to think everybody's goal is that": how Zambian sexual violence stakeholder perspectives complicate global health roadmaps to 'decolonization'.BMC health services research · 2025Article
- The social lives of point-of-care tests in low- and middle-income countries: a meta-ethnography.Health policy and planning · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
backgroundQualitative social research has made valuable contributions to understanding technology-based interventions in global health. However, we have little evidence of who is carrying out this research, where, how, for what purpose, or the overall scope of this body of work. To address these questions, we undertook a systematic evidence mapping of one area of technology-focused research in global health, related to the development, deployment and use of point-of-care tests (POCTs) for low-and middle-income countries (LMICs).
methodsWe conducted an exhaustive search to identify papers reporting on primary qualitative studies that explore the development, deployment, and use of POCTs in LMICs and screened results to identify studies meeting the inclusion criteria. Data were extracted from included studies and descriptive analyses were conducted.
resultsOne hundred thirty-eight studies met our inclusion criteria, with numbers increasing year by year. Funding of studies was primarily credited to high income country (HIC)-based institutions (95%) and 64% of first authors were affiliated with HIC-based institutions. Study sites, in contrast, were concentrated in a small number of LMICs. Relatively few studies examined social phenomena related to POCTs that take place in HICs. Seventy-one percent of papers reported on studies conducted within the context of a trial or intervention. Eighty percent reported on studies considering POCTs for HIV and/or malaria. Studies overwhelmingly reported on POCT use (91%) within primary-level health facilities (60%) or in hospitals (30%) and explored the perspectives of the health workforce (70%).
conclusionsA reflexive approach to the role, status, and contribution of qualitative and social science research is crucial to identifying the contributions it can make to the production of global health knowledge and understanding the roles technology can play in achieving global health goals. The body of qualitative social research on POCTs for LMICs is highly concentrated in scope, overwhelmingly focuses on testing in the context of a narrow number of donor-supported initiatives and is driven by HIC resources and expertise. To optimise the full potential of qualitative social research requires the promotion of open and just research ecosystems that broaden the scope of inquiry beyond established public health paradigms and build social science capacity in LMICs.
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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.