Exploring the synergies between focused ethnography and integrated knowledge translation
Bibliographic record
Abstract
BACKGROUND: Issues with the uptake of research findings in applied health services research remain problematic. Part of this disconnect is attributed to the exclusion of knowledge users at the outset of a study, which often results in the generation of knowledge that is not usable at the point of care. Integrated knowledge translation blended with qualitative methodologies has the potential to address this issue by working alongside knowledge users throughout the research process. Nevertheless, there is currently a paucity of literature about how integrated knowledge translation can be integrated into qualitative methodology; herein, we begin to address this gap in methodology discourse. The purpose of this paper is to describe our experience of conducting a focused ethnography with a collaborative integrated knowledge translation approach, including the synergies and potential sources of discord between integrated knowledge translation and focused ethnography. METHODS: We describe the specific characteristics and synergies that exist when using an integrated knowledge translation approach with focused ethnography, using a research exemplar about the experiences of frail, older adults undergoing a transcatheter aortic valve implantation. RESULTS: Embedding integrated knowledge translation within focused ethnography resulted in (1) an increased focus on the culture and values of the context under study, (2) a higher level of engagement among researchers, study participants and knowledge users, and (3) a commitment to partnership between researchers and knowledge users as part of a larger programme of research, resulting in a (4) greater emphasis on the importance of reciprocity and trustworthiness in the research process. CONCLUSIONS: Engaging in integrated knowledge translation from the outset of a study ensures that research findings are relevant for application at the point of care. The integration of integrated knowledge translation within focused ethnography allows for real-time uptake of meaningful and emerging findings, the strengthening of collaborative research teams, and opportunities for sustained programmes of research and relationships in the field of health services research. Further exploration of the integration of knowledge translation approaches with qualitative methodologies is recommended.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.215 | 0.198 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.004 | 0.023 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".