Engaging with communities, engaging with patients: amendment to the NAPCRG 1998 Policy Statement on Responsible Research With Communities: Table 1.
Bibliographic record
Abstract
Background: In 1998, the North American Primary Care Research Group (NAPCRG) adopted a groundbreaking Policy Statement endorsing responsible participatory research (PR) with communities. Since that time, PR gained prominence in primary care research. Objectives: To reconsider the original 1998 Policy Statement in light of increased uptake of PR, and suggest future directions and applications for PR in primary care. This work contributed to an updated Policy Statement endorsed by NAPCRG in 2015. Methods: 32 university and 30 community NAPCRG-affiliated research partners, convened a workshop to document lessons learned about implementing processes and principles of PR. This document emerged from that session and reflection and discussion regarding the original Policy Statement, the emerging PR literature, and our own experiences. Results: The foundational principles articulated in the 1998 Policy Statement remain relevant to the current PR environment. Lessons learned since its publication include that the maturation of partnerships is facilitated by participatory processes that support increased community responsibility for research projects, and benefits generated through PR extend beyond research outcomes. Future directions that will move forward the field of PR in primary care include: (i) improve assessment of PR processes to better delineate the links between how PR teams work together and diverse PR outcomes, (ii) increase the number of models incorporating PR into translational research from project inception to dissemination, and (iii) increase application of PR approaches that support patient engagement in clinical settings to patient-provider relationship and practice change research. Conclusion: PR has markedly altered the manner in which primary care research is undertaken in partnership with communities and its principles and philosophies continue to offer means to assure that research results and processes improve the health of all communities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.228 | 0.303 |
| Meta-epidemiology (narrow) | 0.004 | 0.006 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.017 | 0.029 |
| Scholarly communication | 0.027 | 0.020 |
| Open science | 0.015 | 0.023 |
| Research integrity | 0.104 | 0.078 |
| Insufficient payload (model declined to judge) | 0.010 | 0.012 |
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 itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".