Evidence map›Paper›PMID 41559194›Full record

ArticleNPJ digital medicine2026

Consensus-based reporting guideline for participatory development and evaluation of digital health interventions.

Vera Weirauch, Anne Mainz, Julia Nitsche, Theresa Sophie Busse, Sven Meister

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Vera WeirauchHealth Informatics, Faculty of Health, Witten/Herdecke University, Witten, Germany. vera.weirauch@uni-wh.de.
Anne MainzHealth Informatics, Faculty of Health, Witten/Herdecke University, Witten, Germany.
Julia NitscheDepartment of Didactics and Educational Research in Health Care, Faculty of Health, Witten/Herdecke University, Witten, Germany.
Theresa Sophie BusseFaculty of Health, Witten/Herdecke University, Witten, Germany.
Sven MeisterHealth Informatics, Faculty of Health, Witten/Herdecke University, Witten, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Existing literature reveals shortcomings in reporting on digital health interventions (DHIs) development and evaluation, resulting in limited traceability and hampered knowledge growth. Despite existing health research reporting guidelines, a specific guideline for the participatory development and evaluation of DHIs is lacking. This study aimed to develop a consensus-based reporting guideline to increase the transparency and comparability of both the participatory development and evaluation of DHIs. Following the methodology recommended by the EQUATOR Network and Mohers et al., a web-based Delphi Study comprising three rounds (two surveys; one workshop) was conducted. An international panel of 66 experts from 23 countries agreed on 68 items for the final reporting guideline, derived from existing reporting guidelines and refined through expert consultation. The final consensus-based reporting guideline ParDE-DHI addresses a significant gap in the systematic reporting of participatory development and evaluation of DHIs. Tailored to the unique challenges of participatory design and research, it enhances the credibility and comparability of study designs and results. This is a crucial step towards promoting best practices and advancing methodological rigor in the field. International and interdisciplinary panel input ensures adaptability and relevance across digital health contexts, ultimately fostering improved participation and knowledge sharing within the research community.

Identifiers

PMID41559194
PMCPMC12913994

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.