Patients' experiences of diabetes education teams integrated into primary care.
Bibliographic record
Abstract
OBJECTIVE: To explore patients' perspectives on care received from diabetes education teams (a registered nurse and a registered dietitian) integrated into primary care. DESIGN: Qualitative study using semistructured, one-on-one interviews. SETTING: Three diabetes education programs operating in 11 primary care sites in one region of Ontario. PARTICIPANTS: Twenty-three patients with diabetes. METHODS: Purposeful sampling was used to recruit participants from each site for interviews. Educator teams invited patients with whom they had met at least once to participate in semistructured interviews. Data were analyzed using thematic analysis with NVivo 11 software. MAIN FINDINGS: The diabetes education teams integrated into primary care exhibited many of the principles of person-centred care, as evidenced by the 2 overarching themes. The first is personalized care, with the subthemes care environment, shared decision making, and patient preference for one-on-one care. Participants described feeling included in partnerships with their health care providers, as they collaborated with physicians and diabetes educators to develop knowledge and set goals in the convenience and comfort of their usual primary care settings. Many participants also expressed a preference for one-on-one sessions. The second theme is patient-provider relationship, with the subthemes respect, supportive interaction, and facilitating patient engagement. Supportive environments created by the educators built trusting relationships, where patients expressed enhanced motivation to improve their self-care. CONCLUSION: Diabetes educators integrated into primary care can serve to enrich the experience of patients, provide key education to improve patient understanding, and support primary care physicians in providing timely and comprehensive clinical care. Diabetes patients appear to benefit from convenient access to interprofessional teams of educators in primary care to support diabetes self-management.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".