Acceptance of mHealth Apps for Self-Management Among People with Hypertension
- Publikationstyp:
- Konferenzbeitrag
- Metadaten:
-
- Autoren
- Bernhard Breil
- Lisanne Kremer
- Severin Hennemann
- Jennifer Apolinario-Hagen
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000569982200036&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.3233/SHTI190839
- eISSN
- 1879-8365
- Externe Identifier
- Clarivate Analytics Document Solution ID: BP9NO
- PubMed Identifier: 31483283
- ISBN-13
- 978-1-64368-016-3
- ISSN
- 0926-9630
- Zeitschrift
- GERMAN MEDICAL DATA SCIENCES: SHAPING CHANGE - CREATIVE SOLUTIONS FOR INNOVATIVE MEDICINE (GMDS 2019)
- Schlüsselwörter
- mHealth
- Intention
- Hypertension
- Cross-sectional Survey
- Patient Acceptance of Healthcare
- Illness Behavior
- Personality
- Paginierung
- 282 - 288
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Titel
- Acceptance of mHealth Apps for Self-Management Among People with Hypertension
- Ausgabe der Zeitschrift
- 267
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <h4>Background</h4>Mobile health applications (mHealth apps) have the potential to help patients with chronic conditions such as hypertension by supporting self-management activities in daily life. However, the uptake of mHealth apps remains poor among patients. To improve the utilization of mHealth apps for hypertension, the analysis of the behavioral intention to use such applications must consider personality traits and illness-related perceptions.<h4>Method</h4>Adults with hypertension in Germany and Austria filled out a self-administered questionnaire in a cross-sectional study based on the UTAUT-model in order to identify potential predictors for the behavioral intention to use mHealth applications as an indicator for their early acceptance. Beyond the four core determinants of acceptance of the UTAUT (performance expectancy, effort expectancy, social influence and facilitating conditions), self-efficacy, openness to experience and perceived health threat were analyzed as predictors.<h4>Results</h4>145 participants (mean age 52.51 years, SD 14.33; 60% female) completed the survey. Acceptance was moderate on average (M = 3.26, SD = 1.07, min 1 to max 5). In a multiple hierarchical regression, performance expectancy and effort expectancy were confirmed as significant predictors of acceptance (step 1, R2 = .57, p < .001), while self-efficacy could not be confirmed (step 2, p = .87). In addition, perceived health threat (β = .12, p < .05) and openness to experience (β = .22, p < .001) had a significant influence on acceptance of mHealth apps for hypertension (step 3, overall model with R2 = .62). Age showed a negative association with the intention to use (β = .22, p = .005) while no influence of gender could be found (p = .06).<h4>Conclusion</h4>Above expectations regarding effectiveness and usability, openness to experience and perceived health threat make a significant contribution in predicting the acceptance of mHealth solutions in the field of chronic diseases.
- Addresses
- Hochschule Niederrhein, University of Applied Sciences.
- Autoren
- Bernhard Breil
- Lisanne Kremer
- Severin Hennemann
- Jennifer Apolinário-Hagen
- DOI
- 10.3233/shti190839
- eISSN
- 1879-8365
- Externe Identifier
- PubMed Identifier: 31483283
- Open access
- false
- ISSN
- 0926-9630
- Zeitschrift
- Studies in health technology and informatics
- Schlüsselwörter
- Humans
- Hypertension
- Cross-Sectional Studies
- Telemedicine
- Adult
- Aged
- Middle Aged
- Austria
- Germany
- Female
- Male
- Self-Management
- Medium
- Paginierung
- 282 - 288
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Datum der Datenerfassung
- 2019
- Titel
- Acceptance of mHealth Apps for Self-Management Among People with Hypertension.
- Ausgabe der Zeitschrift
- 267
Datenquelle: Europe PubMed Central
- Abstract
- BACKGROUND: Mobile health applications (mHealth apps) have the potential to help patients with chronic conditions such as hypertension by supporting self-management activities in daily life. However, the uptake of mHealth apps remains poor among patients. To improve the utilization of mHealth apps for hypertension, the analysis of the behavioral intention to use such applications must consider personality traits and illness-related perceptions. METHOD: Adults with hypertension in Germany and Austria filled out a self-administered questionnaire in a cross-sectional study based on the UTAUT-model in order to identify potential predictors for the behavioral intention to use mHealth applications as an indicator for their early acceptance. Beyond the four core determinants of acceptance of the UTAUT (performance expectancy, effort expectancy, social influence and facilitating conditions), self-efficacy, openness to experience and perceived health threat were analyzed as predictors. RESULTS: 145 participants (mean age 52.51 years, SD 14.33; 60% female) completed the survey. Acceptance was moderate on average (M = 3.26, SD = 1.07, min 1 to max 5). In a multiple hierarchical regression, performance expectancy and effort expectancy were confirmed as significant predictors of acceptance (step 1, R2 = .57, p < .001), while self-efficacy could not be confirmed (step 2, p = .87). In addition, perceived health threat (β = .12, p < .05) and openness to experience (β = .22, p < .001) had a significant influence on acceptance of mHealth apps for hypertension (step 3, overall model with R2 = .62). Age showed a negative association with the intention to use (β = .22, p = .005) while no influence of gender could be found (p = .06). CONCLUSION: Above expectations regarding effectiveness and usability, openness to experience and perceived health threat make a significant contribution in predicting the acceptance of mHealth solutions in the field of chronic diseases.
- Autoren
- Bernhard Breil
- Lisanne Kremer
- Severin Hennemann
- Jennifer Apolinário-Hagen
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/31483283
- DOI
- 10.3233/SHTI190839
- eISSN
- 1879-8365
- Zeitschrift
- Stud Health Technol Inform
- Schlüsselwörter
- Cross-sectional Survey
- Hypertension
- Illness Behavior
- Intention
- Patient Acceptance of Healthcare
- Personality
- mHealth
- Adult
- Aged
- Austria
- Cross-Sectional Studies
- Female
- Germany
- Humans
- Hypertension
- Male
- Middle Aged
- Self-Management
- Telemedicine
- Conference place
- Netherlands
- Paginierung
- 282 - 288
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2019
- Titel
- Acceptance of mHealth Apps for Self-Management Among People with Hypertension.
- Ausgabe der Zeitschrift
- 267
Datenquelle: PubMed
- Autoren
- Bernhard Breil
- Lisanne Kremer
- Severin Hennemann
- Jennifer Apolinário-Hagen
- Editoren
- Rainer Röhrig
- Harald Binder
- Hans-Ulrich Prokosch
- Ulrich Sax
- Irene Schmidtmann
- Susanne Stolpe
- Antonia Zapf
- ISBN-13
- 978-1-64368-016-3
- Zeitschrift
- GMDS
- Paginierung
- 282 - 288
- Datum der Veröffentlichung
- 2019
- Herausgeber
- IOS Press
- Herausgeber URL
- https://doi.org/10.3233/SHTI267
- Titel
- Acceptance of mHealth Apps for Self-Management Among People with Hypertension.
- Ausgabe der Zeitschrift
- 267
Datenquelle: DBLP
- Beziehungen:
- Eigentum von