Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

German eHealth Impact Questionnaire for Online Health Information Users with Multiple Sclerosis: Instrument Validation Study

Anna Sippel
* ORCID logo ,
Karin Riemann-Lorenz
,
Jana Pöttgen
,
Renate Wiedemann
,
Karin Drixler
,
Eva Maria Bitzer
,
Christine Holmberg
,
Susanne Lezius
,
Christoph Heesen
Version 1 : Received: 7 February 2022 / Approved: 9 February 2022 / Online: 9 February 2022 (11:05:49 CET)

How to cite: Sippel, A.; Riemann-Lorenz, K.; Pöttgen, J.; Wiedemann, R.; Drixler, K.; Bitzer, E.M.; Holmberg, C.; Lezius, S.; Heesen, C. German eHealth Impact Questionnaire for Online Health Information Users with Multiple Sclerosis: Instrument Validation Study. Preprints 2022, 2022020138. https://doi.org/10.20944/preprints202202.0138.v1 Sippel, A.; Riemann-Lorenz, K.; Pöttgen, J.; Wiedemann, R.; Drixler, K.; Bitzer, E.M.; Holmberg, C.; Lezius, S.; Heesen, C. German eHealth Impact Questionnaire for Online Health Information Users with Multiple Sclerosis: Instrument Validation Study. Preprints 2022, 2022020138. https://doi.org/10.20944/preprints202202.0138.v1

Abstract

Introduction: This study aimed to validate the psychometric properties of the German eHealth Impact Questionnaire (eHIQ-G), which is divided into two independently administered and scored parts. Methods: 162 people with MS browsed one of two possible websites containing information on MS and completed an online survey. Internal consistency was assessed by Cronbach’s alpha and structural validity by Confirmatory Factor Analysis. Construct validity was examined by assessing correlations with the eHealth Literacy Questionnaire and the General Self-Efficacy Scale. Moreover, the mean difference of the eHIQ-G score between the two websites was investigated. Results: Cronbach’s alpha for the eHIQ-G subscales ranged from .833 to .885. The eHIQ-G part 1 achieved acceptable levels of goodness-of-fit indices, whereas the fit for the eHIQ-G part 2 was poor and likewise for the alternative modified models. The correlations with the reference instruments were 0.08 – 0.62 and as expected. Older age was related with lower eHIQ-G part 1 score, whereas no significant effect was found for education. Although not significant, the website ‘AMSEL’ reached higher mean scores on eHIQ part 2. Conclusion: The eHIQ-G has good internal consistency, and sufficient structural and construct validity. It will facilitate the measurement of the impact of websites providing health information.

Keywords

eHealth; measure; psychometrics; factor analysis; Multiple Sclerosis

Subject

Social Sciences, Behavior Sciences

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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