SynthesisBritish journal of clinical pharmacology2025
Electronic medicine management systems in developing countries: A landscape review.
Synthesis in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Electronic medicine management systems in developing countries: A landscape review.British journal of clinical pharmacology · 2025Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medicines are a major global health expense. However, suboptimal use increases costs and causes patient harm. One way to reduce costs and increase safe, efficient medicines use is with electronic medicines management systems (EMMS). They allow easy capture of routine health data which can facilitate research, service planning and reimbursement processes. There are various barriers to healthcare digitization in developing countries (DCs), although some have overcome these. We sought to understand the landscape of EMMS use in DCs. We systematically searched six bibliographic databases from inception to 23 October 2024 for studies reporting the implementation and/or use of EMMS in countries with lower than 'very high' Human Development Index (HDI). We qualitatively and quantitatively summarized data on geographic location, healthcare setting and system functionality. We created an interactive map illustrating spatial and temporal trends in EMMS use. A total of 314 records described the use of EMMS in 45 DCs, 206 of which described coexistence/integration of other health data (e.g., electronic health records [EHR]). Predominantly, EMMS were for prescribing (n = 264) or dispensing (n = 66), implemented in secondary care settings and operated locally rather than regionally or nationally. Common EMMS use-cases included adherence monitoring in human immunodeficiency virus (HIV) and tuberculosis treatment. Our findings highlight both widespread EMMS adoption-commonly in the context of a broader EHR-and persistent gaps in implementation. These insights could be used by policymakers and healthcare leaders to guide strategy and funding decisions. Existing systems could be leveraged for service planning, healthcare delivery and optimizing medicine use. Where EMMS are not yet in use, our findings provide a roadmap for stakeholders to identify and emulate successful implementations in similar healthcare settings. Expanding the interoperability and scale of EMMS could further enable transformative digital technologies, increasing efficiencies and coverage, and ultimately improving patient outcomes.
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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.