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Validity and Reliability Evidence of the Munro Scale for Perioperative Patients, Part I: Correlation, Multiple
Cassendra A Munro1,2, Ying Hong Jiang3
1Office of Research, Stanford Health Care, Palo Alto, CA, USA munroconsulting@yahoo.com.
Journal of Nursing Measurement
|August 8, 2023
Summary
The Munro Pressure Injury Risk Assessment Scale for Perioperative Patients (Munro Scale) effectively predicts surgical patient risk. While its reliability requires further study, the scale is suitable for acute perioperative settings.
Area of Science:
- Perioperative Medicine
- Nursing Research
- Patient Safety
Background:
- Surgical patients face risks of pressure injury development.
- Proactive assessment and prevention measures are crucial for this population.
- The Munro Scale offers a dynamic approach to risk assessment in acute care.
Purpose of the Study:
- To evaluate the causal relationships and reliability of the Munro Pressure Injury Risk Assessment Scale for Perioperative Patients (Munro Scale).
- To identify the strongest predictors of pressure injury risk within the Munro Scale.
- To assess the scale's suitability for the acute clinical setting.
Main Methods:
- Retrospective review of 630 risk assessments from two community hospitals.
- Analysis of variable relationships, predictor strength, and scale reliability using regression and correlation.
- Evaluation of coefficient alpha for reliability evidence.
Main Results:
- Significant relationships were found among the 15 risk variables and comorbidities, correlating with postoperative injury scores.
- The overall model demonstrated significance in predicting the final risk level.
- Reliability, measured by coefficient alpha, was lower than anticipated compared to international versions.
Conclusions:
- The Munro Scale demonstrates significant internal variable relationships and is acceptable for acute perioperative use.
- The scale holds both clinical and statistical significance for pressure injury risk assessment.
- Further research may be needed to enhance the scale's reliability.
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