Methods for a study of Anticipatory and Preventive multidisciplinary Team Care in a family practice.
Bibliographic record
Abstract
UNLABELLED: BACKGROUND T o examine the methodology used to evaluate whether focusing the work of nurse practitioners and a pharmacist on frail and at-risk patients would improve the quality of care for such patients. DESIGN: Evaluation of methodology of a randomized controlled trial including analysis of quantitative and qualitative data over time and analysis of cost-effectiveness. SETTING: A single practice in a rural area near Ottawa, Ont. PARTICIPANTS: A total of 241 frail patients, aged 50 years and older, at risk of experiencing adverse health outcomes. INTERVENTION: At-risk patients were randomly assigned to receive Anticipatory and Preventive Team Care (from their family physicians, 1 of 3 nurse practitioners, and a pharmacist) or usual care. MAIN OUTCOME MEASURES: The principal outcome for the study was the quality of care for chronic disease management. Secondary outcomes included other quality of care measures and evaluation of the program process and its cost-effectiveness. This article examines the effectiveness of the methodology used. Quantitative data from surveys, administrative databases, and medical records were supplemented with qualitative information from interviews, focus groups, work logs, and study notes. CONCLUSION: Three factors limit our ability to fully demonstrate the potential effects of this team structure. For reasons outside our control, the intervention duration was shorter than intended; the practice's physical layout did not facilitate interactions between the care providers; and contamination of the intervention effect into the control arm cannot be excluded. The study used a randomized design, relied on a multifaceted approach to evaluating its effects, and used several sources of data. TRIAL REGISTRATION NUMBER NCT00238836 (CONSORT).
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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 | 0.029 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.003 |
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".