ArticleDigital health
Strengthening urban primary healthcare service delivery using electronic health technologies: A qualitative study in urban Nepal.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07076134 (A Pilot Trial of a Community-and Primary Care-based Intervention Linked With mObile Technology for Hypertension Control in Nepal), which is not on this map. Cited by 3 papers.
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.
A Pilot Trial of a Community-and Primary Care-based Intervention Linked With mObile Technology for Hypertension Control in Nepal (CoPILOT Trial)
Who cites it
3 citing papers in PubMed, 9 citations in OpenAlex.
- Tele-rehabilitation in rural Nepal: a systematic review of effectiveness, barriers, and strategic directions for digital health equity.Frontiers in digital health · 2025Review
- Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries.NPJ digital medicine · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 5 countries.
Funding
Abstract
Background: Nepal is a South Asian country with a high burden of non-communicable diseases. Electronic health technologies are a promising strategy to mitigate the rising burden of non-communicable diseases by strengthening primary healthcare center service delivery. However, electronic health implementation in Nepal is limited. Furthermore, electronic health use at the primary healthcare center level is chronically understudied. This qualitative study seeks to understand the perceived awareness, benefits, and determinants of electronic health uptake in Nepal, focusing on primary healthcare center-level non-communicable disease management. Methods: We conducted in-depth interviews with 27 participants including policymakers, health experts, facility administrators, providers, and non-communicable diseases patients in 2019. We selected six urban primary healthcare center facilities via cluster convenience sampling for recruiting facility administrators, providers, and patients, and used convenience sampling to recruit policymakers and experts. We conducted thematic data analysis inductively and deductively using the electronic health readiness assessment framework to understand perceived barriers and facilitators of electronic health implementation. Results: While there was general awareness and acceptance of electronic health, multiple barriers impede readiness for implementation. These include policy making gaps, language barriers, low user technical literacy, concerns of overreliance on technology, and inadequate training for administrators and providers. Stakeholder suggestions include creating electronic health interfaces that meet the needs of end users (providers and patients), providing training to enable end users to effectively use electronic health technologies, and strong policy support at the national level. Conclusion: We identify several determinants for effectively promoting the use of electronic health for non-communicable diseases service delivery at the primary healthcare center level in Nepal.
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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.