Development, successes, and potential pitfalls of multidisciplinary chronic disease management clinics in a family health team: a qualitative study
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: The creation of Family Health Teams in Ontario was intended to reconfigure primary care services to better meet the needs of an aging population, an increasing proportion of which is affected by frailty and multimorbidity. However, evaluations of family health teams have yielded mixed results. METHODS: We conducted interviews with 22 health professionals affiliated or working with a well-established family health team in Southwest Ontario to understand how it approached the development of interprofessional chronic disease management programs, including successes and areas for improvement. RESULTS: Qualitative analysis of the transcripts identified two primary themes: [1] Interprofessional team building and [2] Inadvertent creation of silos. Within the first theme, two subthemes were identified: (a) collegial learning and (b) informal and electronic communication. CONCLUSION: Emphasis on collegiality among professionals, rather than on more traditional hierarchical relationships and common workspaces, created opportunities for better informal communication and shared learning and hence better care for patients. However, formal communication and process structures are required to optimize the deployment, engagement, and professional development of clinical resources to better support chronic disease management and to avoid internal care fragmentation for more complex patients with clustered chronic conditions.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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