KIT | KIT-Bibliothek | Impressum | Datenschutz

Digital Health Apps in the Context of Dementia: Questionnaire Study to Assess the Likelihood of Use Among Physicians

Schinle, Markus ORCID iD icon; Erler, Christina; Kaliciak, Mayumi; Milde, Christopher; Stock, Simon ORCID iD icon 1; Gerdes, Marius 1; Stork, Wilhelm 1
1 Institut für Technik der Informationsverarbeitung (ITIV), Karlsruher Institut für Technologie (KIT)

Abstract:

Background:
Age-related diseases such as dementia are playing an increasingly important role in global population development. Thus, prevention, diagnostics, and interventions require more accessibility, which can be realized through digital health apps. With the app on prescription, Germany made history by being the first country worldwide to offer physicians the possibility to prescribe and reimburse digital health apps as of the end of the year 2020.

Objective:
Considering the lack of knowledge about correlations with the likelihood of use among physicians, this study aimed to address the question of what makes the use of a digital health app by physicians more likely.

Methods:
We developed and validated a novel measurement tool—the Digital Health Compliance Questionnaire (DHCQ)—in an interdisciplinary collaboration of experts to assess the role of proposed factors in the likelihood of using a health app. Therefore, a web-based survey was conducted to evaluate the likelihood of using a digital app called DemPredict to screen for Alzheimer dementia. Within this survey, 5 latent dimensions (acceptance, attitude toward technology, technology experience, payment for time of use, and effort of collection), the dependent variable likelihood of use, and answers to exploratory questions were recorded and tested within directed correlations. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000149062
Veröffentlicht am 27.07.2022
Originalveröffentlichung
DOI: 10.2196/35961
Scopus
Zitationen: 2
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technik der Informationsverarbeitung (ITIV)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2561-326X
KITopen-ID: 1000149062
Erschienen in JMIR Formative Research
Verlag JMIR Publications
Band 6
Heft 6
Seiten Art.-Nr.: e35961
Vorab online veröffentlicht am 22.06.2022
Schlagwörter digital health applications; likelihood of use; usability; adherence; dementia; screening; treatment; physician; eHealth; questionnaire; mobile phone
Nachgewiesen in Dimensions
Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page