ArticleJournal of medical systems2025
Interactive Toolkit for Classifying Digital Health Interventions, Services, and Applications Based on the WHO Framework.
Article in Journal of medical systems, 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.
- Effects of Digital Health Interventions on Breastfeeding Rates, Self-Efficacy, and Knowledge: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapidly advancing digital health requires a standardized approach to classifying Digital Health Interventions (DHIs) for better planning, monitoring, and resource distribution. The World Health Organisation (WHO) developed a Classification for Digital Health Interventions, Services, and Applications in Health (CDISAH) in response to this need. The purpose of this study was to develop an interactive toolkit based on WHO's CDISAH to enhance categorization, making it more interactive, user-friendly, and effective in classifying DHI services and applications, and demonstrate its practical implementation in the field of cardiac rehabilitation. We used a descriptive approach with a seven-step iterative process to create the toolkit. The process began with a review of best practices for converting framework into toolkit, followed by drafting an initial toolkit structure, which was refined through team discussions. The content was based on WHO CDISAH. Expert feedback was incorporated, and quality assurance was conducted through internal and external reviews. The toolkit's functionality and usability were evaluated through a use case including DHIs, services, and applications for cardiac rehabilitation. The toolkit for WHO CDISAH has a structured interface with clear definitions, practical examples, and intuitive navigation across three main axes: health system challenges, digital health interventions, and digital health applications and services. Pilot testing improved its usability and functionality for accurate classification, highlighting areas for refinement and identifying challenges and solutions for practical implementation. The developed toolkit provides a standardised, portable platform for classifying the multimodal DHIs that align with the framework presented by WHO.
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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.