Evidence map›Paper›PMID 41202284›Full record

ArticleJournal of medical Internet research2025

Enablers, Challenges, and Lessons Learned From a Digital Health Intervention (Sehatmandi App) in Afghanistan: Qualitative Study.

Saleem Sayani, Farah Jabeen, Saira Samnani, Abdul Muqeet, Amna Khan, Ghulamuddin Delawar, Meraj Subzlani

Abstract read
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Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Saleem SayaniAga Khan University's Digital Health Resource Centre, Aga Khan University, Karachi, Sindh, Pakistan.ORCID https://orcid.org/0000-0003-3470-9475
Farah JabeenAga Khan University's Digital Health Resource Centre, Aga Khan University, Karachi, Sindh, Pakistan.ORCID https://orcid.org/0009-0002-4727-786X
Saira SamnaniRadiology, Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0009-0002-3681-8114
Abdul MuqeetAga Khan University's Digital Health Resource Centre, Aga Khan University, Karachi, Sindh, Pakistan.ORCID https://orcid.org/0000-0001-6380-0302
Amna KhanInternational Rescue Committee, Islamabad, Pakistan.ORCID https://orcid.org/0009-0006-3674-9808
Ghulamuddin DelawarAga Khan Development Network, Kabul, Afghanistan.ORCID https://orcid.org/0009-0002-0360-4275
Meraj SubzlaniAga Khan University's Digital Health Resource Centre, Aga Khan University, Karachi, Sindh, Pakistan.ORCID https://orcid.org/0000-0001-9462-3310

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn low- and middle-income countries, maternal, newborn, and child health face significant challenges due to infrastructure limitations, access disparities, and service delivery inefficiencies. The Sehatmandi mobile health (mHealth) app was deployed in 2018 to address these issues across 189 health facilities in Afghanistan's Bamyan and Badakhshan provinces. This app aims to enhance service provision through real-time data monitoring, improved accountability, and performance-based health system strengthening.

objectiveThis study aims to explore the enablers, challenges, and lessons learned for the sustainability of the Sehatmandi mHealth intervention from the perspective of key stakeholders to inform the future scaling of digital health tools in fragile and resource-constrained settings.

methodsA qualitative study was conducted between June and July 2024 involving 24 in-depth interviews with stakeholders, including health facility managers, administrators, and high-level decision-makers. Participants were selected using stratified purposive sampling to ensure diverse facility representation. Interviews were conducted in person or virtually by using a semistructured guide, recorded, transcribed and translated into English. Thematic content analysis was performed using NVivo version 11 software. Ethics approval was obtained, and informed consent was secured from all the participants.

resultsStakeholders reported that Sehatmandi improved health system responsiveness by enhancing performance monitoring, accountability, timely reporting, and data-driven decision-making. Offline data entry was identified as a critical feature, enabling data collection in remote areas without internet access and ensuring synchronization when connectivity was resumed. However, several barriers affected the long-term sustainability: poor internet connectivity, electricity shortages,inadequate technical support, and high staff turnover, which disrupted functionality and data quality. Training gaps and insufficient supervision further hampered consistent and effective use. Participants emphasized the need for structured capacity building, regular follow-up, and sustainable funding to maintain the intervention. Integration with national health information systems and alignment with broader digital health strategies were also seen as prerequisites for scaling and institutionalization.

conclusionsThe Sehatmandi mHealth intervention demonstrated enhanced performance monitoring and accountability across health care facilities in Afghanistan's conflict-affected settings. However, for digital health interventions to be sustainable and scalable in low- and middle-income countries, foundational investments in digital infrastructure, continuous training and monitoring, system-level integration, and long-term funding are essential. These findings provide actionable insights for governments, implementers, and donors aiming to strengthen health systems through digital innovation in fragile settings.

Indexed as

Digital HealthMobile ApplicationsAfghanistanHealth ResourcesHumansInterviews as TopicPublic Health InfrastructureQualitative ResearchRural Health ServicesState MedicineTelemedicineAfghanistandigital health evaluationhealth system strengtheninglow- and middle-income countriesmHealthqualitative researchsustainability

Identifiers

PMID41202284
PMCPMC12639335

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LicenceCC BY
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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.