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Statistical fit is like beauty: A rasch and factor analysis of the Scottish PROM

journal contribution
posted on 2024-11-02, 21:10 authored by Austyn Snowden, Leila KarimiLeila Karimi, Heather Tan
Chaplains help people face some of the most complex, intractable and traumatic issues in their lives. Spiritual care works. Unfortunately, spiritual needs are rarely met in health and social care because a) spiritual distress is not recognised as such, and b) chaplain interventions are undervalued and misunderstood. The Scottish Patient Reported Outcome Measure (PROM) © was created to help provide evidence for the impact of chaplain interventions. The aim of this study was to establish whether the PROM could also be used to identify patients in need of chaplain interventions. To test this psychometrically, Rasch and Confirmatory Factor Analysis was conducted on an international dataset of post intervention PROMS from UK, Europe and Australia completed between 2018–2020 (n = 1117). The data fit the Rasch model, and the PROM demonstrated uni-dimensionality, construct validity and reliability, meaning PROM scores represent a coherent concept. Higher scores represented lower levels of spiritual distress, and the mean score was 12 out of 20. PROM score of 9 was one standard deviation below the norm, a metric routinely used to identify ‘clinically important difference’ in psychometric scales. A Scottish PROM© score of 9 and under could therefore identify people for whom chaplaincy may be beneficial. The clinical implications of this are considerable.

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Related Materials

  1. 1.
    DOI - Is published in 10.1080/08854726.2021.1916336
  2. 2.
    ISSN - Is published in 08854726

Journal

Journal of Health Care Chaplaincy

Volume

28

Issue

3

Start page

415

End page

430

Total pages

16

Publisher

Routledge

Place published

United States

Language

English

Copyright

© 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License.

Former Identifier

2006117293

Esploro creation date

2022-09-01

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