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

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

PMC · DOI: 10.1038/s41746-026-02355-5 · NPJ Digital Medicine · 2026-01-20

## TL;DR

This paper introduces a new reporting guideline for developing and evaluating digital health interventions using participatory methods.

## Contribution

The novel contribution is a consensus-based reporting guideline specifically for participatory digital health interventions.

## Key findings

- A Delphi study with 66 international experts resulted in a 68-item reporting guideline.
- The guideline, ParDE-DHI, addresses a gap in systematic reporting for participatory digital health interventions.
- The guideline enhances credibility and comparability across diverse digital health contexts.

## 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.

## Full-text entities

- **Diseases:** CR (MESH:C536766), DHIs (MESH:C000721267)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12913994/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/PMC12913994/full.md

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Source: https://tomesphere.com/paper/PMC12913994