Validating the Measure of Processes of Care for Service Providers (MPOC-SP(A)) tool in adult intensive care units
Bibliographic record
Abstract
Background: The Measures of Process of Care for Service Providers (MPOC-SP(A)) tool, developed by the CanChild Centre for Childhood Disability Research in Canada, assesses service providers' perceptions of family-centred care (FCC) in adult rehabilitation. It consists of 27 items categorised into four domains: 'showing interpersonal sensitivity', 'providing general information', 'communicating specific information', and 'treating people respectfully'. Each domain encompasses a distinct aspect of family-centred care applicable in the intensive care unit (ICU). An earlier version of the tool was previously validated for use in neonatal ICUs. However, this tool has not been validated for use in adult ICUs. Objectives: To validate the content validity index of the MPOC-SP(A) tool for healthcare professionals working in adult ICUs in South Africa. Methods: Following approval from the Human Research Ethics Committee, a multidisciplinary group of experienced ICU healthcare professionals was invited to review the MPOC-SP(A) tool, rating each item's relevance on a four-point scale to avoid neutrality. The content validity index (CVI) was calculated for each item (I-CVI) and domain (S-CVI/Ave) using Microsoft Excel. An I-CVI of 0.83 and S-CVI/Ave of 0.9 were deemed acceptable. Items with a CVI below 0.83 were discarded. Results: The scale-level CVI (S-CVI/Ave) for every domain was 0.9 and above, which is acceptable. Two items in domain A and one item in domain B were deleted owing to low I-CVI values. Two items were revised to improve the item's clarity. Thus, a 24-item MPOC-SP(A) tool applicable to adult ICUs was generated following the content validity analysis. Conclusion: The content experts' assessment of the instrument's items is essential to ensure its validity. This study has finalised the content validation process of the MPOC-SP(A) tool for use in the adult ICU. The refined tool is now ready for the next phase of validation focusing on construct and internal consistency. Contribution of the study: This study contributes to the field of research by providing robust evidence for the content validity of the MPOC-SP(A) tool in adult ICU settings, supporting its relevance, clarity, and comprehensiveness for measuring family-centred care practices. It also offers a framework for future validation studies in similar resource-limited healthcare contexts.
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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 | 0.056 | 0.122 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".