Processus de validation du questionnaire IPC65 : un outil de mesure de l'interdisciplinarité en pratique clinique
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: Interdisciplinary clinical practice has become an essential objective for the management of complex cases in a large number of health facilities in Quebec and elsewhere. However, this highly desirable practice cannot be implemented on demand and requires a carefully designed approach in combination with continuous feedback between the various partners involved in the management and functioning of an interdisciplinary team. The purpose of this research was to provide teams with a tool to help them identify their strengths and weaknesses in order to ensure continuous improvement. METHODS: Following a comprehensive review of the literature on microsystems ensuring interdisciplinarity in health, we identified a large number of elements considered to be important factors allowing effective interdisciplinarity. These factors were used to construct a questionnaire that was submitted to several stages of validation (qualitative and statistical) designed to enable health professionals to measure their degree of integration of the concepts allowing interdisciplinary clinical practice. RESULTS: This approach allowed validation of this questionnaire (Cronbach's alpha greater than 0.97). During the validation process, the number of questions of the questionnaire was reduced from 99 to 65. CONCLUSION: The various steps of validation of the questionnaire allowed the development of a relevant tool to promote continuous improvement of interdisciplinary clinical teams.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it