<p>Team Functioning And Beliefs About Team Effectiveness In Inter-Professional Teams: Questionnaire Development And Validation</p>
Bibliographic record
Abstract
PURPOSE: Few validated instruments are available to measure team functioning in acute and primary care teams. To address this, we developed a questionnaire measuring healthcare provider perceptions of team effectiveness (Provider-PTE) and assessed its psychometric properties. PATIENTS AND METHODS: Empirical evidence and a conceptual model were used for item generation. The 41-item self-completed questionnaire was developed. A cross-sectional survey of healthcare providers (n=283) across a range of settings was performed. Psychometric properties were assessed for French and English language questionnaires using Cronbach alpha (α) for reliability, the feedback form for face validity, expert opinion for content validity, and the known-group technique for construct validity. Responsiveness was examined by comparing scores in high and low functioning teams. RESULTS: The mean time needed to complete the questionnaire was less than 9 mins. Respondents were typically female (84%), and employed full time (80%) in urban settings (82%). Cronbach α values were as follows: Team Processes = 0.88; PTE-Overall = 0.91; Outcomes = 0.72. Significant differences were found by professional group (p = 0.017), length of time in the team (p = 0.025), and presence of nurse practitioners. Responses to Outcomes varied by employment status (p = 0.017). Differences were identified in high and low functioning teams (p<0.001). Feedback indicated that two questions related to team meetings needed to be added. CONCLUSION: The study produced evidence of validity for English and French language Provider-PTE questionnaires. The revised 43-item instrument represents an important contribution by providing a validated questionnaire to measure team functioning across a range of settings that is consistent with a conceptual framework.
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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 | 0.020 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".