I-RREACH: an engagement and assessment tool for improving implementation readiness of researchers, organizations and communities in complex interventions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Non-communicable chronic diseases are the leading causes of mortality globally, and nearly 80% of these deaths occur in low- and middle-income countries (LMICs). In high-income countries (HICs), inequitable distribution of resources affects poorer and otherwise disadvantaged groups including Aboriginal peoples. Cardiovascular mortality in high-income countries has recently begun to fall; however, these improvements are not realized among citizens in LMICs or those subgroups in high-income countries who are disadvantaged in the social determinants of health including Aboriginal people. It is critical to develop multi-faceted, affordable and realistic health interventions in collaboration with groups who experience health inequalities. Based on community-based participatory research (CBPR), we aimed to develop implementation tools to guide complex interventions to ensure that health gains can be realized in low-resource environments. METHODS: We developed the I-RREACH (Intervention and Research Readiness Engagement and Assessment of Community Health Care) tool to guide implementation of interventions in low-resource environments. We employed CBPR and a consensus methodology to (1) develop the theoretical basis of the tool and (2) to identify key implementation factor domains; then, we (3) collected participant evaluation data to validate the tool during implementation. RESULTS: The I-RREACH tool was successfully developed using a community-based consensus method and is rooted in participatory principles, equalizing the importance of the knowledge and perspectives of researchers and community stakeholders while encouraging respectful dialogue. The I-RREACH tool consists of three phases: fact finding, stakeholder dialogue and community member/patient dialogue. The evaluation for our first implementation of I-RREACH by participants was overwhelmingly positive, with 95% or more of participants indicating comfort with and support for the process and the dialogue it creates. CONCLUSIONS: The I-RREACH tool was designed to (1) pinpoint key domains required for dialogue between the community and the research team to facilitate implementation of complex health interventions and research projects and (2) to identify existing strengths and areas requiring further development for effective implementation. I-RREACH has been found to be easily adaptable to diverse geographical and cultural settings and can be further adapted to other complex interventions. Further research should include the potential use of the I-RREACH tool in the development of blue prints for scale-up of successful interventions, particularly in low-resource environments.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it