Volltext-Downloads (blau) und Frontdoor-Views (grau)

How to Access Personal Health Records? Measuring the Intention to Use and the Perceived Usefulness of Two Different Technologies : A Randomised Controlled Study

  • Personal health records (PHR) are instruments to compile, store and present health and wellness related data digitally with proven effects on self-management of diseases. The aim of this study was to investigate whether there were differences in the intention to use (ITU) and perceived usefulness (PU) of two technologies allowing users to access the PHR, i.e. a kiosk system and a smart phone based app (access as usual). The study also aimed at modelling ITU and PU with multiple linear regressions. A total of 46 subject participated in the study who were randomly assigned to one of the two experimental groups (nkiosk = 22; napp = 24). The task for both groups was to digitise their “Medikationsplan” (medical record) and upload it to the PHR. There was no significant difference in ITU and PU between the two technologies. ITU could only be significantly explained by PU (R2 = .55, p < 0.001), while PU was determined by perceived ease of use and psychological factors (R2 = .64, p < 0.001). Severity of disease did not play any significant role. The German “Terminservice- und Versorgungsgesetz” underpins the importance and timeliness of this study. The assumption that both – the publicly accessible kiosk and the app – are equally acceptable for people of different gender, age and technology background demonstrates the opportunity to master a potential digital divide among the population and allows users to get access to their PHR in multiple ways.

Download full text files

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Saskia Niemöller, Ursula Hertha HübnerORCiD, Nicole EgbertORCiD
Title (English):How to Access Personal Health Records? Measuring the Intention to Use and the Perceived Usefulness of Two Different Technologies : A Randomised Controlled Study
URN:urn:nbn:de:bsz:959-opus-20463
DOI:https://doi.org/10.3233/SHTI190827
ISBN:978-1-64368-016-3
ISBN:978-1-64368-017-0
Parent Title (English):German Medical Data Sciences : Shaping Change – Creative Solutions for Innovative Medicine
Publisher:IOS Press
Place of publication:Amsterdam
Document Type:Conference Proceeding
Language:English
Year of Completion:2019
Release Date:2021/05/20
First Page:197
Last Page:204
Note:
64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (GMDS e.V.), 08.11. - 11.09.2019, Dortmund
Faculties:Fakultät WiSo
DDC classes:600 Technik, Medizin, angewandte Wissenschaften / 610 Medizin, Gesundheit
Review Status:Veröffentlichte Fassung/Verlagsversion
Licence (German):License LogoCreative Commons - CC BY-NC - Namensnennung - Nicht kommerziell 4.0 International