The Swedish version of the attitude towards pressure ulcer prevention instrument for use in an operating room context (APUP-OR): A nationwide psychometric evaluation
Bibliographic record
Abstract
INTRODUCTION: To assess operating room (OR) nurses' attitudes towards pressure ulcer prevention, the Attitude towards Pressure Ulcer Prevention (APuP) instrument was developed. AIM: The aim of this study was to psychometrically evaluate the Attitude towards Pressure Ulcer Prevention (APuP) instrument in a Swedish OR context. MATERIALS AND METHODS: A psychometric evaluation study was conducted, using a convenience sample, between February and August 2020. Validity (content, construct, discriminatory power) and reliability (stability and internal consistency) were evaluated. RESULTS: The first survey (test) was completed by 284 Swedish OR nurses, of whom n = 50 (17.6%) completed the second survey (retest). A Principal Component Analysis was conducted for the 13-item instrument. The KMO value for this model was 0.62. Bartlett's test for sphericity was statistically significant (p 0.001). Five factors were identified which accounted for 56% of the variance in responses related to attitudes toward pressure ulcer prevention. The Cronbach's α for the instrument "attitude towards Pressure Ulcer Prevention" was 0.66. The intraclass correlation coefficient was 0.49 (95% CI = 0.25-0.67). CONCLUSION: This Swedish version of the APuP- OR is the first step in the development of an instrument to measure OR nurses' attitudes towards PU prevention in a Swedish OR context. The reliability of the instrument was low and the validity moderate. A larger sample and the revision or addition of items related to the context of the operating room should be considered in order to confirm aspects of the psychometric properties.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".