eCite Digital Repository
Measurement properties of the Health Literacy Questionnaire in the Understanding Multiple Sclerosis Massive Open Online Course Cohort: A Rasch analysis
Bessing, B and Honan, C and van der Mei, I and Taylor, BV and Claflin, SB, Measurement properties of the Health Literacy Questionnaire in the Understanding Multiple Sclerosis Massive Open Online Course Cohort: A Rasch analysis, Health Literacy Research and Practice, 6, (3) pp. e200-e212. ISSN 2474-8307 (2022) [Refereed Article]
© 2022 Bessing, Honan, van der Mei, et al.; licensee SLACK Incorporated. This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Background: Online health education and other electronic health improvement strategies are developing rapidly, highlighting the growing need for valid scales to assess health literacy (HL). One comprehensive HL scale is the Health Literacy Questionnaire (HLQ), but little is known about its measurement properties in online health education cohorts.
Objective: The purpose of this study was to determine if the multidimensional HLQ is an appropriate tool to measure HL in a cohort of Understanding Multiple Sclerosis (MS) online course enrollees.
Methods: Participants who enrolled in the first two open enrollments of the Understanding MS online course completed the HLQ (N = 1,182) in an online survey prior to beginning course materials. We used Rasch analysis to assess the measurement properties of the HLQ.
Key results: The nine Domains of the HLQ each had ordered category function and a good fit with the Rasch model. Each domain was one-dimensional and exhibited good internal consistency and reliability. None of the 44 individual items of the HLQ demonstrated item bias or local dependency. However, while the overall fit was good, few measurement gaps were identified in this cohort for participants in each of the nine Domains, meaning that the HLQ may have low measurement precision in some participants.
Conclusion: Our analysis of the HLQ indicated acceptable measurement properties in a cohort of Understanding MS online course enrollees. Although reliable information on nine separate constructs of HL was obtainable in the current study indicating that the HLQ can be used in similar cohorts, its limitations must be also considered.
|Item Type:||Refereed Article|
|Keywords:||health literacy, pyschometric, MOOCs, Multiple Sclerosis|
|Research Division:||Health Sciences|
|Research Field:||Behavioural epidemiology|
|Objective Group:||Clinical health|
|Objective Field:||Clinical health not elsewhere classified|
|UTAS Author:||Bessing, B (Mr Barnabas Bessing)|
|UTAS Author:||Honan, C (Dr Cynthia Honan)|
|UTAS Author:||van der Mei, I (Professor Ingrid van der Mei)|
|UTAS Author:||Taylor, BV (Professor Bruce Taylor)|
|UTAS Author:||Claflin, SB (Dr Suzi Claflin)|
|Deposited By:||Menzies Institute for Medical Research|
|Downloads:||5 View Download Statistics|
Repository Staff Only: item control page