The Difference Between Integration and Collaboration in Patient Care: Results From Key Informant Interviews Working in Multiprofessional Health Care Teams
Bibliographic record
Abstract
OBJECTIVES: Despite the growing interest in integrative health care, collaborative care, and interdisciplinary health care teams, there appears to be little consistency in terminology and clarity regarding the goal for these teams, other than "working together" for the good of the patients. The purpose of this study was to explore what the terms integration and collaboration mean for practitioners and other key informants working in multiprofessional health care teams, with a specific look at chiropractic and family physician teams in primary care settings. METHODS: Semistructured interviews were conducted with 16 key informants until saturation was obtained in the key emerging themes. All interviews were audiorecorded, and the transcripts were coded using qualitative content analysis. RESULTS: Most participants differentiated collaboration from integration. They generally described a model of professions working closely together (ie, collaborating) in the delivery of care but not subsumed into a single organizational framework (ie, integration). Our results suggest that integration requires collaboration as a precondition but collaboration does not require integration. CONCLUSIONS: Collaboration and integration should not be used interchangeably. A critical starting point for any new interdisciplinary team is to articulate the goals of the model of care.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".