Opportunities, challenges and ethical issues associated with conducting community-based participatory research in a hospital setting
Bibliographic record
Abstract
Community-based participatory research (CBPR) is growing in popularity as a research strategy to engage communities affected by health issues. Although much has been written about the benefits of using CBPR with diverse groups, this research has usually taken place in community-based organizations which offer social services and programs. The purpose of this article is to explore the opportunities and challenges encountered during a CBPR project conducted in a small hospital serving people living with HIV and addictions issues. The structure of hospital-based care delivery required the team to account for participants’ health-related limitations, including adopting recruitment strategies built on clinical care, and modifying the original research design to better protect participant confidentiality in a small space. Although CBPR offers an important strategy for researching with members of hospitalized communities, it requires research teams to develop context-relevant approaches to ethically engaging community members that recognize the ways clinical space mediates the research process.
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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 | 0.689 | 0.560 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.026 | 0.079 |
| Scholarly communication | 0.029 | 0.020 |
| Open science | 0.010 | 0.022 |
| Research integrity | 0.016 | 0.023 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".