Case Management Programs for Improving Integrated Care for Frequent Users of Healthcare Services: An Implementation Analysis
Bibliographic record
Abstract
INTRODUCTION: Case management programs (CMP) for frequent users of healthcare services presenting complex healthcare needs constitute an effective strategy to improve patient experience of integrated care and to decrease healthcare overuse and cost. This study sought to identify characteristics of these programs, and their implementation contexts, that help to improve patient self-management, experience of integrated care, and healthcare services use. METHODS: A mixed methods multiple embedded case study design was conducted, with six CMP implemented in six hospitals of a region of Quebec (Canada). RESULTS: Within-case analysis describes the structural, environmental, organizational, practitioner, patient, and innovation level characteristics of each CMP and their services integration outcomes based on patient experience, self-management and healthcare services use. Cross-case analysis suggests that the skills, leadership and experience of the case manager, providers' access to the individualized services plan, consideration of the needs of the patient and family members, their participation in decision-making, and the self-management approach, impact integrated care and healthcare services use. CONCLUSION AND DISCUSSION: This study underscores the necessity of an experienced, knowledgeable and well-trained case manager with interpersonal skills to optimize CMP implementation such that patients are more proactive in their care and their outcomes improve.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".