Development of the multidimensional readiness and enablement index for health technology (READHY) tool to measure individuals' health technology readiness: initial testing in a cancer rehabilitation setting

Kayser, Lars, Rossen, Sine, Karnoe, Astrid, Elsworth, Gerald, Vibe-Petersen, Jette, Christensen, Jesper Frank, Ried-Larsen, Mathias and Osborne, Richard H 2019, Development of the multidimensional readiness and enablement index for health technology (READHY) tool to measure individuals' health technology readiness: initial testing in a cancer rehabilitation setting, Journal of medical internet research, vol. 21, no. 2, pp. 1-14, doi: 10.2196/10377.

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Title Development of the multidimensional readiness and enablement index for health technology (READHY) tool to measure individuals' health technology readiness: initial testing in a cancer rehabilitation setting
Author(s) Kayser, Lars
Rossen, Sine
Karnoe, Astrid
Elsworth, GeraldORCID iD for Elsworth, Gerald orcid.org/0000-0001-6306-7593
Vibe-Petersen, Jette
Christensen, Jesper Frank
Ried-Larsen, Mathias
Osborne, Richard HORCID iD for Osborne, Richard H orcid.org/0000-0002-9081-2699
Journal name Journal of medical internet research
Volume number 21
Issue number 2
Article ID e10377
Start page 1
End page 14
Total pages 14
Publisher JMIR Publications
Place of publication Toronto, Ont.
Publication date 2019-02
ISSN 1438-8871
Keyword(s) health technology readiness
questionnaire
eHealth literacy
enablement
eHealth literacy, enablement
Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Medical Informatics
Summary BACKGROUND: The increasing digitization of health care services with enhanced access to fast internet connections, along with wide use of smartphones, offers the opportunity to get health advice or treatment remotely. For service providers, it is important to consider how consumers can take full advantage of available services and how this can create an enabling environment. However, it is important to consider the digital context and the attributes of current and future users, such as their readiness (ie, knowledge, skills, and attitudes, including trust and motivation). OBJECTIVE: The objective of this study was to evaluate how the eHealth Literacy Questionnaire (eHLQ) combined with selected dimensions from the Health Education Impact Questionnaire (heiQ) and the Health Literacy Questionnaire (HLQ) can be used together as an instrument to characterize an individual's level of health technology readiness and explore how the generated data can be used to create health technology readiness profiles of potential users of health technologies and digital health services. METHODS: We administered the instrument and sociodemographic questions to a population of 305 patients with a recent cancer diagnosis referred to rehabilitation in a setting that plans to introduce various technologies to assist the individuals. We evaluated properties of the Readiness and Enablement Index for Health Technology (READHY) instrument using confirmatory factor analysis, convergent and discriminant validity analysis, and exploratory factor analysis. To identify different health technology readiness profiles in the population, we further analyzed the data using hierarchical and k-means cluster analysis. RESULTS: The confirmatory factor analysis found a suitable fit for the 13 factors with only 1 cross-loading of 1 item between 2 dimensions. The convergent and discriminant validity analysis revealed many factor correlations, suggesting that, in this population, a more parsimonious model might be achieved. Exploratory factor analysis pointed to 5 to 6 constructs based on aggregates of the existing dimensions. The results were not satisfactory, so we performed an 8-factor confirmatory factor analysis, resulting in a good fit with only 1 item cross-loading between 2 dimensions. Cluster analysis showed that data from the READHY instrument can be clustered to create meaningful health technology readiness profiles of users. CONCLUSIONS: The 13 dimensions from heiQ, HLQ, and eHLQ can be used in combination to describe a user's health technology readiness level and degree of enablement. Further studies in other populations are needed to understand whether the associations between dimensions are consistent and the number of dimensions can be reduced.
Language eng
DOI 10.2196/10377
Field of Research 08 Information and Computing Sciences
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Lars Kayser, Sine Rossen, Astrid Karnoe, Gerald Elsworth, Jette Vibe-Petersen, Jesper Frank Christensen, Mathias Ried-Larsen, Richard H Osborne
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118522

Document type: Journal Article
Collections: Faculty of Health
Population Health
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