Original Research

The BETA® nursing measure: Calibrating construct validity with Rasch analyses*

Hendrik J. Loubser, Daleen Casteleijn, Judith C. Bruce
Health SA Gesondheid | Vol 20, No 1 | a917 | DOI: https://doi.org/10.4102/hsag.v20i1.917 | © 2015 Hendrik J. Loubser, Daleen Casteleijn, Judith C. Bruce | This work is licensed under CC Attribution 4.0
Submitted: 05 October 2017 | Published: 10 October 2015

About the author(s)

Hendrik J. Loubser, South African Database for Functional Medicine; Department of Nursing Education, University of the Witwatersrand, South Africa
Daleen Casteleijn, Department of Occupational Therapy, University of the Witwatersrand, South Africa
Judith C. Bruce, School of Therapeutic Sciences, University of the Witwatersrand, South Africa

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Abstract

Background: The BETA nursing measure has been introduced as a tool to routinely measure and monitor the outcomes of patients' activities of daily living in a restorative nursing care context.

Objectives: To investigate the BETA's construct validity using the Rasch model with specific reference to the BETA's potential to be used as an interval scale providing metric or interval data.

Method: A quantitative analytical design was followed using Rasch analyses whereby BETA raw data was collected from patients (n = 4235) receiving nursing care in 28 South African sub-acute and non-acute nursing facilities. The data was prepared for Rasch analyses and imported into WINSTEP® Software version 3.70.1.1 (2010). Final results were shown by means of figures and graphs.

Results: A successful outcome was achieved by dividing the BETA into four subscales. In this process one of the original BETA items was omitted and seven other items required collapsing of their categories before the four subscales achieved a satisfactory fit to the Rasch model.

Conclusion: The four BETA subscales achieved “very well” to “excellent” levels of fit to the Rasch model. This finding thus creates an opportunity to convert the BETA's Likert qualities into an interval measure to calculate change in patients' activities of daily living metric allyas a direct result of effective restorative nursing.


Keywords

Beta; Nursing; Routine; Measure; Validity; Rasch; Activities of daily living; Restorative nursing; Rehabilitation

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