Research Output
Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses
  Introduction
Electronic health (eHealth) strategies are evolving making it important to have valid scales to assess eHealth and health literacy. Item response theory methods, such as the Rasch measurement model, are increasingly used for the psychometric evaluation of scales. This paper aims to examine the internal construct validity of an eHealth and health literacy scale using Rasch analysis in a population with moderate to high cardiovascular disease risk.
Methods
The first 397 participants of the CONNECT study completed the electronic health Literacy Scale (eHEALS) and the Health Literacy Questionnaire (HLQ). Overall Rasch model fit as well as five key psychometric properties were analysed: unidimensionality, response thresh-
olds, targeting, differential item functioning and internal consistency.
Results
The eHEALS had good overall model fit (χ2 = 54.8, p = 0.06), ordered response thresholds, reasonable targeting and good internal consistency (person separation index (PSI) 0.90). It did, however, appear to measure two constructs of eHealth literacy. The HLQ subscales (except subscale 5) did not fit the Rasch model (χ2: 18.18–60.60, p: 0.00–0.58) and had sub-optimal targeting for most subscales. Subscales 6 to 9 displayed disordered thresholds indi-cating participants had difficulty distinguishing between response options. All subscales did, nonetheless, demonstrate moderate to good internal consistency (PSI: 0.62–0.82).

  • Type:

    Article

  • Date:

    27 April 2017

  • Publication Status:

    Published

  • DOI:

    10.1371/journal.pone.0175372

  • ISSN:

    1932-6203

  • Library of Congress:

    RA Public aspects of medicine

  • Dewey Decimal Classification:

    610.7 Medical education, research & nursing

  • Funders:

    Edinburgh Napier Funded; Sydney Medical Foundation Chapman Fellowship; National Heart Foundation of Australia; National Health and Medical Research Council

Citation

Richtering, S. S., Morris, R., Soh, S., Barker, A., Bampi, F., Neubeck, L., …Redfern, J. (2017). Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses. PLOS ONE, 12(4), https://doi.org/10.1371/journal.pone.0175372

Authors

Keywords

Electronic health, eHealth, health literacy, cardiovascular disease,

Monthly Views:

Available Documents