Evidence map›Paper›PMID 42806425›Full record

ArticleImplementation science communications2026

Beyond co-creation: why community-centered research ecosystems and advancing community research capacity building is implementation science's next frontier.

Ashley Hui Ying Teh, Shao Yuan Chong, Eleanor J Ong

Abstract readLetter
In one paragraph

Article in Implementation science communications, 2026. 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

3 authors.

Ashley Hui Ying Teh *Luskin School of Public Affairs, University of California, Los Angeles, Los Angeles, USA.ORCID http://orcid.org/0009-0004-2603-2964
Shao Yuan Chong *Department of Psychology, University of Denver, Denver, USA.ORCID http://orcid.org/0000-0001-9612-8647
Eleanor J Ong *Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore. eleanorj.ong@u.nus.edu.ORCID http://orcid.org/0000-0003-0551-3465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implementation science has increasingly embraced community engagement through co-creation and community-based participatory research, yet capacity for conducting implementation research itself remains concentrated within academic institutions. This commentary argues that current approaches perpetuate structural dependencies where communities require academic intermediaries to validate knowledge about their own contexts. While implementation science invests substantially in capacity development for practitioners and researchers through training institutes and mentorship programs, these opportunities systematically exclude the communities we claim to partner with. Existing frameworks position communities primarily as sources of contextual knowledge rather than independent implementation scientists, creating bottlenecks in addressing health inequities and limiting the sustainability of implementation research capacity. Drawing on case studies from kayos kollective, a Singapore-based community research group, we illustrate how communities can develop implementation research competencies through structured capacity building that integrates research training with advocacy and program development. These examples demonstrate pathways for community members to gain methodological skills, intellectual capital, and sustained research infrastructure beyond episodic consultation models. We propose shifting from community-based participation toward community-formed research ecosystems standing infrastructures that support communities in identifying implementation problems, adapting frameworks, collecting and analysing data, and conducting advocacy independently of external investigators. This reframing positions communities as producers of implementation science rather than periodic participants and redefines academic partners as capacity builders and technical consultants. Such ecosystems preserve methodological rigour while enabling locally driven innovation and ongoing implementation learning that current participatory models cannot support. Community-formed research ecosystems also address a long-standing gap in the field: most interventions persist beyond the lifespan of research partnerships, yet communities are rarely equipped to evaluate fidelity, identify emerging barriers, or make evidence-informed adaptations once academic partners disengage. By embedding analytic and evaluative capacity directly within communities, this model creates a mechanism for sustaining implementation learning, preserving context-specific knowledge, and expanding the field's understanding of real-world implementation processes. Ultimately, decentralizing methodological authority in this way strengthens community research autonomy, supports equitable and durable implementation practices, and advances a more legitimate redistribution of research power.

Indexed as

Capacity buildingCitizen ScienceCo-creationCommunity-based participatory researchCommunity-centered research ecosystemsCommunity engagementHealth equityImplementation scienceMarginalized communitiesResearch sustainability

Identifiers

PMID42806425
PMCPMC13621628

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.