Evidence map›Paper›PMID 42756538›Full record

ArticleThe journal of climate change and health

Stakeholder collaboration in digital climate-health platforms: Mapping patterns across international case studies.

Razieh Rezabeigisani, Sören Becker

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Razieh RezabeigisaniDepartment of Geography, Marburg University, Deutschhausstraße 10, 35032 Marburg, Germany.
Sören BeckerDepartment of Geography, Marburg University, Deutschhausstraße 10, 35032 Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital climate-health platforms are web, mobile or dashboard-based architectures that link climate, environmental, health and socio-economic data to make climate-related health risks visible and actionable. This study maps stakeholder collaboration patterns in international platforms, focusing on who contributes, how collaboration is organized, and how platform-specific features shape inclusion, decision-making and use across varied institutional contexts. Methods: We employed a sequential mixed-method design combining internet-based scoping, survey responses and 22 semi-structured interviews across 20 projects. Survey data were analyzed descriptively, and interview material was coded inductively to construct ideal-type collaboration patterns. Findings were triangulated with project documents and platform information to identify stakeholder roles, collaboration mechanisms and case-level pattern assignments. Results: Digital climate-health platforms involved developers, governments, international agencies, researchers, industry partners, community organizations and end-users. Five ideal-types were identified: central coordination, hierarchical distribution, network-based distribution, iterative co-evolution, and co-leadership. These patterns were not mutually exclusive; each case was assigned to a dominant pattern while secondary features were recorded. Collaboration was shaped by authority over data access, indicators, models, interfaces, feedback interpretation, implementation and post-launch maintenance. Conclusion: The findings show that collaboration in digital climate-health platforms is both a platform design and a governance issue. Centralized and hierarchical arrangements provide accountability, continuity and authoritative communication but limit end-user influence. Network-based, iterative, and co-leadership arrangements can widen participation and responsiveness, yet they do not automatically constitute co-production. The findings point to the importance of clarifying decision rights, embedding co-design, and evaluating who can influence data, models, interfaces and use.

Indexed as

Co-designDigital climate-health platformsDigital public healthPlatform governanceQualitative typologyStakeholder collaboration

Identifiers

PMID42756538
PMCPMC13583760

What OpenQuestion holds

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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.