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Published on: August 8, 2019
Reliability and Validity of the UMove Mobility Screen
Chris Wells1, Julie Pittas2, Cynthia Roman2
1University of Maryland Medical Center, Baltimore, MD cwells@umm.edu cwells@som.umaryland.edu.
This study evaluated how well the UMove Mobility Screen, a tool designed for bedside nurses, consistently and accurately measures patient movement capabilities compared to standard therapist evaluations.
Area of Science:
- Nursing informatics and UMove Mobility Screen validation research
- Clinical measurement and psychometric assessment in healthcare
Background:
Accurate assessment of patient physical function remains a challenge for bedside nursing staff in acute care settings. No prior work had resolved the need for a standardized, reliable tool for non-therapist clinicians. That uncertainty drove the development of the UMove Mobility Screen to bridge this gap. Prior research has shown that inconsistent mobility evaluations often lead to suboptimal patient outcomes and increased fall risks. This gap motivated the current investigation into the psychometric properties of this specific screening instrument. It was already known that therapist-led assessments are the gold standard, yet they are not always available at the bedside. The lack of validated, nurse-led tools hinders early mobilization efforts in hospital environments. This study addresses these limitations by providing empirical evidence regarding the performance of the UMove tool.
Purpose Of The Study:
The aim of this study was to assess the reliability and validity of the UMove Mobility Screen. Researchers sought to determine if this tool provides an accurate method for bedside nurses to evaluate patient movement. The investigation addresses the need for standardized assessment instruments in acute care environments. By evaluating psychometric properties, the authors intended to verify the utility of the screen for non-therapist clinicians. This work addresses the gap in existing literature regarding nurse-led mobility assessment tools. The motivation for this research stems from the necessity to improve patient care through consistent functional evaluations. The study examines whether the tool maintains consistency across different raters and aligns with professional standards. Ultimately, the authors aim to provide empirical evidence supporting the integration of this screen into routine clinical practice.
Main Methods:
The research team conducted a psychometric evaluation to determine the performance characteristics of the instrument. Review approach involved calculating the alpha coefficient to establish internal consistency among the items. Investigators utilized the intraclass correlation coefficient to assess inter-rater reliability across different observers. Construct validity was examined by comparing the tool against established therapist-led functional assessments. The design employed a two-way random model for these statistical comparisons. Data collection focused on a cohort of 176 hospital patients to ensure a robust sample size. Researchers analyzed the relationship between nurse-led scores and professional therapist evaluations to confirm accuracy. This systematic approach ensured that the findings reflect the practical utility of the screening tool.
Main Results:
The strongest finding indicates that the instrument demonstrates high internal consistency with an alpha coefficient of .94. Key findings from the literature reveal an inter-rater reliability intraclass correlation of .98. The study also identified strong evidence of construct validity with an intraclass correlation of .95. These results were derived from a cohort of 176 participants with a mean age of 57 years. The data show that 60 percent of the study participants were men. The findings suggest that the tool provides a reliable alternative to traditional therapist evaluations. The statistical values confirm that the screen performs consistently across different raters. These metrics support the utility of the tool for bedside mobility assessments.
Conclusions:
The researchers propose that the UMove tool demonstrates sufficient psychometric strength for clinical implementation. This investigation provides evidence supporting both the consistency and accuracy of the screen. Synthesis and implications suggest that bedside nurses can utilize this instrument to standardize mobility assessments. The authors indicate that the tool performs reliably when compared to traditional therapist-led evaluations. Future efforts should examine how the application of this screen impacts patient-centered clinical outcomes. These findings offer a foundation for integrating the tool into routine nursing practice. The evidence confirms that the screen meets established standards for reliability and construct validity. The study concludes that the instrument serves as a viable option for assessing patient movement in acute care.
Frequently Asked Questions
The researchers propose that the tool achieves high internal consistency with an alpha coefficient of .94. Furthermore, the inter-rater reliability reached an intraclass correlation of .98, indicating strong agreement between different observers using the screen.
The authors utilized a two-way random model to determine construct validity. This statistical approach compared the screen against standard therapist evaluations of patient functional mobility, resulting in an intraclass correlation of .95.
A sample of 176 participants was included in the analysis. The cohort had a mean age of 57 years with a standard deviation of 15, and 60 percent of the study population identified as men.
The study employed the intraclass correlation coefficient to quantify the relationship between nurse-led screenings and therapist-led assessments. This metric confirms the alignment between the two distinct evaluation methods.
The researchers measured the performance of the tool by comparing it to the standard therapist evaluation of patient functional mobility. This comparison establishes the screen as a reliable proxy for professional physical therapy assessments.
The authors suggest that subsequent investigations should prioritize the effectiveness of the tool on clinical outcomes. This focus will help determine if using the screen leads to tangible improvements in patient recovery.

