Evidence map›Paper›PMID 40779756›Full record

ArticleJournal of medical Internet research2025

Reporting Digital Health Implementations Based on the iCHECK-DH Guidelines and Checklist: Development of an Interactive Toolkit.

Anuradha Liyanage, Shakira Irfaan, Loshan Moonesinghe, Kaushalya Kasturiaratchi, Caroline Perrin Franck, Rada Hussein

Abstract read
In one paragraph

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anuradha LiyanageLudwig Boltzmann Institute for Digital Health and Prevention, Lindhofstraße 22, Salzburg, 5020, Austria, 43 05725582701.ORCID http://orcid.org/0009-0009-1306-0727
Shakira IrfaanMinistry of Health, Family Health Bureau, Colombo, Sri Lanka.ORCID http://orcid.org/0000-0002-9725-0377
Loshan MoonesingheMinistry of Health, Family Health Bureau, Colombo, Sri Lanka.ORCID http://orcid.org/0009-0004-9755-3839
Kaushalya KasturiaratchiMinistry of Health, Family Health Bureau, Colombo, Sri Lanka.ORCID http://orcid.org/0000-0001-9210-0815
Caroline Perrin FranckFaculty of Medicine, Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-6667-6164
Rada HusseinLudwig Boltzmann Institute for Digital Health and Prevention, Lindhofstraße 22, Salzburg, 5020, Austria, 43 05725582701.ORCID http://orcid.org/0000-0003-1257-4848

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite their potential, many digital health implementations fail to scale beyond pilot stages due to reporting challenges, stakeholder disengagement, and policy barriers. To improve documentation and knowledge sharing, the iCHECK-DH (Guidelines and Checklist for the Reporting on Digital Health Implementations) guidelines have been developed by global experts and implemented by the Journal of Medical Internet Research as the required reporting standard for implementation reports. Objective: This study aims to introduce an interactive iCHECK-DH toolkit designed to streamline reporting, facilitate knowledge sharing, and support scalability, demonstrating its practical application through a use case. Methods: The iCHECK-DH toolkit was developed through an iterative process informed by best practices for creating user-friendly toolkits. A targeted literature review and analysis of World Health Organization documents were conducted to identify best practices in toolkit design. A multidisciplinary team designed the toolkit using the Fillout platform (Restly, Inc) for its intuitive interface. A total of 9 international experts in digital health and implementation science were recruited through purposive sampling. They provided qualitative feedback through semistructured interviews and open-ended comments on the draft toolkit. Discussions focused on content relevance, usability, and alignment with the iCHECK-DH framework. Feedback was thematically analyzed and key suggestions were incorporated iteratively into subsequent versions of the toolkit. It underwent pilot testing, with a real-world Family Planning Stock Management System in Sri Lanka serving as the use case. The findings further refined the toolkit's practicality and informed final improvements. Results: The interactive toolkit successfully translated the iCHECK-DH guidelines into a structured digital health implementations reporting tool, refining navigation, terminology, and usability based on qualitative feedback from the expert panel. It features 4 main sections, including a step-by-step checklist aligned with the 20 items of the iCHECK-DH framework, contextual explanations and examples for each item, a self-assessment function to track progress, and automatic compilation of a downloadable PDF report. Pilot testing showed that the toolkit enabled comprehensive documentation of all 9 domains and 20 checklist items from the iCHECK-DH framework. It confirmed its practicality and effectiveness, leading to targeted improvements. Time to complete the toolkit was 40 minutes (final version) after usability refinements. Conclusions: The iCHECK-DH toolkit complements the iCHECK-DH guidelines, enhances their functionality, and demonstrates their usability through a practical use case. It provides a structured approach to digital health reporting, supporting scalability and knowledge sharing in real-world implementations.

Indexed as

ChecklistGuidelines as TopicDigital HealthHumansdigital healthguidelinesiCHECK-DHimplementation sciencereporting guidelinetoolkit development

Identifiers

PMID40779756
PMCPMC12334105

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.