Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents. Process evaluation frameworks for community mental health are the focus for researchers who want to understand how programs are implemented and why they succeed or fail: this post translates a new scoping review into practical guidance for qualitative teams. The primary keyword for this post is process evaluation frameworks community mental health, and the evidence below maps concrete trends and tools you can use in project design and analysis.
Key Takeaways
According to the PLoS One scoping review (Mere et al., 2026) PLoS One, community mental health process evaluation shifted from community-led participatory frameworks toward implementation science between 2006 and 2025.
- 54 distinct primary frameworks were used across 83 included studies published between January 2006 and April 2025, according to the PLoS One review (Mere et al., 2026).
- Implementation science frameworks accounted for 39.8% of primary frameworks (n = 33) in the 83-study sample in the PLoS One review (Mere et al., 2026), rising to over 50% of studies in the 2016–2020 period.
- Participatory frameworks represented 23.8% of studies in 2006–2015 but were not used as primary frameworks after 2015, a pattern the authors summarize as "From participation to systematization" (Mere et al., 2026).
- Geographic concentration was pronounced: North America contributed 54.2% of studies and high-income countries contributed 83.1% of studies, per Mere et al., 2026.
What happened and how the review measured it
Answer: The authors conducted a scoping review of process evaluations of community mental health interventions published from 2006 to April 2025 to map framework use and temporal trends.
According to the PLoS One review (Mere et al., 2026), the authors searched PubMed, Web of Science, and EBSCOhost, identified 1, 143 records, and after screening included 83 studies that met eligibility criteria.
According to the PLoS One review (Mere et al., 2026), the team extracted framework names, categorized frameworks into a 14-category typology, and coded primary versus secondary framework use using explicit rules documented in their methods section.
The review measured temporal change by splitting the period into 2006–2015, 2016–2020, and 2021–2025, and reported both categorical shifts (for example, participatory vs implementation science) and per-framework frequencies (for example, RE-AIM n = 9, CFIR n = 8, MRC n = 6).
Findings snapshot
| Date / Period | Metric (from PLoS One) | Value | Implication for qualitative teams |
|---|---|---|---|
| Search window: Jan 2006–Apr 2025 | Records identified | 1, 143 | Shows scope of the literature search; use comprehensive search strings when mapping frameworks, following Mere et al., 2026. |
| Included studies (published through Apr 2025) | Studies included | 83 | Use a clear eligibility rule for 'process evaluation' in community settings as Mere et al., 2026 did when screening. |
| Framework diversity | Distinct primary frameworks | 54 | Expect fragmentation; plan mixed deductive-inductive coding to capture uncommon frameworks in transcripts and documents. |
| Category dominance | Implementation science share | 39.8% (n = 33) | If your analysis focuses on implementation constructs, prepare codebooks for CFIR/RE-AIM domains but remain open to emergent community themes. |
| Temporal pattern | Participatory primary frameworks | 23.8% in 2006–2015; 0% after 2015 | If you want genuine community co-production, design participatory methods explicitly rather than assuming they will appear within implementation science approaches. |
| Geography | North America / High-income share | 54.2% / 83.1% | Anticipate that existing frameworks reflect high-income contexts; adapt constructs when working in LMICs and document adaptations. |
Implications for qualitative researchers and UX/implementation teams
Answer: Qualitative teams should align framework choice with their primary evaluation question and explicitly document what the chosen framework makes visible and what it omits, following the recommendations of Mere et al., 2026.
If your primary goal is to identify determinants of implementation success, the PLoS One review (Mere et al., 2026) suggests determinant frameworks like CFIR are commonly used and supported by prior literature.
If your primary goal is to assess reach, adoption, and maintenance, the PLoS One review (Mere et al., 2026) indicates that RE-AIM is frequently applied and lends itself to mixed methods designs that combine interviews with service-usage data.
If your priority is community empowerment or partnership, the PLoS One review (Mere et al., 2026) warns that participatory frameworks have become less central as primary frameworks after 2015, so you must plan participatory methods and governance structures explicitly rather than assuming they will emerge.
How Evidano helps with process evaluation frameworks
Evidano definition
Evidano is an AI-powered qualitative data analysis platform that helps researchers analyze interviews, open-ended surveys, and documents.
Evidano supports transcription, thematic and cross-segment analysis, and AI chat over your documents to speed framework-aligned coding and synthesis; see our features page.
Problem: Fragmented framework use slows synthesis
Solution: Use Evidano to ingest interview transcripts, protocol documents, and published studies and run thematic and frequency analyses that map codes to multiple frameworks simultaneously.
How it helps: Evidano can tag excerpts to CFIR, RE-AIM, MRC process constructs, and locally defined participatory codes so you can compare what each framework highlights in the same dataset.
Problem: Participatory elements get deprioritized
Solution: Use Evidano to manage co-coded datasets and to share redacted transcripts with community partners securely for collaborative coding.
How it helps: Evidano supports role-based access and PII redaction during transcription so community members can co-analyze qualitative data without exposing sensitive information; see our data security page for details.
Problem: Cross-study comparison is time consuming
Solution: Evidano automates extraction of framework mentions and frequency counts across documents, enabling rapid snapshots like those in Mere et al., 2026.
How it helps: Use Evidano to produce co-occurrence networks and hierarchical code trees that show which constructs recur across sites, saving weeks of manual harmonization.
FAQ: process evaluation frameworks community mental health
Which framework should I choose for a community mental health process evaluation?
Answer: Choose the framework that aligns with your primary evaluation question and explicitly justify the choice in your protocol.
If you want to identify implementation determinants, consider CFIR as it was among the most used frameworks in the PLoS One review (Mere et al., 2026).
If you want to evaluate public health impact and sustainability, the PLoS One review (Mere et al., 2026) shows RE-AIM is frequently applied for reach and maintenance outcomes.
Has participatory evaluation disappeared from community mental health research?
Answer: No, participatory approaches have not wholly disappeared but have shifted from primary organizing frameworks to secondary or supplementary roles in many studies.
The PLoS One review (Mere et al., 2026) reports participatory frameworks were 23.8% of studies in 2006–2015 and were not used as primary frameworks after 2015, though participatory methods appear as secondary frameworks in later work.
How can I preserve community voice while using implementation science frameworks?
Answer: Build participatory governance and co-design into your evaluation design and treat participatory constructs as primary codes in analysis.
The PLoS One review (Mere et al., 2026) recommends integrating participatory elements into implementation science structures rather than assuming they are implied, and documents examples where CBPR appears as a secondary framework.
How should I report framework choice in publications and reports?
Answer: State the chosen framework as 'primary' or 'guiding', explain why it fits your questions, and list any secondary frameworks used for complementary perspectives.
Mere et al., 2026 used a hierarchical rule for coding primary frameworks, and adopting a similar transparent rule in your methods section supports reuse and synthesis.
Conclusion & Next Steps
Answer: The PLoS One scoping review (Mere et al., 2026) documents a clear shift in process evaluation frameworks for community mental health from participatory organizing frameworks toward implementation science between 2006 and 2025.
Practically, qualitative teams should choose frameworks that match their evaluation priorities, document choices transparently, and explicitly design participatory governance where community voice is a goal.
If you want to speed harmonized coding across frameworks and include community partners in analysis workflows, try Evidano to ingest transcripts, map codes to CFIR/RE-AIM/MRC constructs, and share redacted excerpts securely; learn more on our features page.
Next step: Try Evidano for free to prototype framework-aligned coding on your transcripts and published literature.