Monitoring the degree of implementation of an integrated delivery system
Bibliographic record
Abstract
INTRODUCTION: The aim of the study was to develop a method to measure the implementation of specific components of an Integrated Service Delivery system for the frail elderly. The system includes six mechanisms and tools: (1) coordination of all organizations involved in delivering health and social services, (2) a single entry point, (3) case management, (4) a single assessment tool with a case-mix classification system, (5) an individualized service plan, and (6) a computerized clinical chart. METHOD: Focus groups of researchers, clinicians, managers and policy-makers identified quantitative indicators for each component. The six components were weighted according to their relative importance in order to generate a total score. Data were collected every six months over 30 months to establish the implementation degree in the three experimental areas: Sherbrooke, Granit and Coaticook in the Province of Quebec, Canada. RESULTS: After 30 months, coordination is the most developed component in the three experimental areas. Overall, in July 2003, the Integrated Service Delivery system was implemented at the rate of 73%, 71% and 70% in Sherbrooke, Granit and Coaticook, respectively. DISCUSSION: This type of quantitative assessment provides data for managers and researchers to monitor the implementation. Moreover, when there is an outcome study, the results of the outcome study can be correlated with the degree of implementation, thus allowing for dose-response analyzes and helping to decrease the "black box" effect.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".