Predictors of patients’ acceptance of video consultation in general practice during the coronavirus disease 2019 pandemic applying the unified theory of acceptance and use of technology model

Esber, André;
GND
124950140
ORCID
0000-0003-2120-1840
LSF
58993
Affiliation
Center for Translational Neuro- and Behavioral Sciences (C-TNBS),University of Duisburg-Essen , Essen, Germany
Teufel, Martin;
ORCID
0000-0003-2676-1345
Affiliation
Center for Translational Neuro- and Behavioral Sciences (C-TNBS),University of Duisburg-Essen , Essen, Germany
Jahre, Lisa;
GND
120157594
in der Schmitten, Jürgen;
GND
1065483899
ORCID
0000-0002-4667-5877
Affiliation
Center for Translational Neuro- and Behavioral Sciences (C-TNBS),University of Duisburg-Essen , Essen, Germany
Skoda, Eva-Maria;
GND
1237424054
ORCID
0000-0003-1488-8592
Affiliation
Center for Translational Neuro- and Behavioral Sciences (C-TNBS),University of Duisburg-Essen , Essen, Germany
Bäuerle, Alexander

Background: The coronavirus disease 2019 pandemic has led to an increase in remote consultations in health care. This study aimed to assess the acceptance of video consultation as an alternative to face-to-face in-office visits in general practice (GP) and to investigate its drivers and barriers.

Methods: A cross-sectional study was conducted in Germany during the coronavirus disease 2019 pandemic from December 2020 to April 2021. Participants were recruited among patients in 16 GP surgeries. Assessed were sociodemographic and medical data as well as information and communications technology related data. Acceptance of video consultation and its predictors were determined using a modified questionnaire based on a short version of the renowned unified theory of acceptance and use of technology model.

Results: In total, 371 participants were included in the data analysis. Acceptance of video consultation was moderate. A hierarchical regression revealed acceptance was significantly predicted by the PHQ-2, taking no regular medication, computer proficiency, knowledge about digital health care solutions, no prior use of video consultation, and the unified theory of acceptance and use of technology predictors performance expectancy, effort expectancy, and social influence. The extended unified theory of acceptance and use of technology model explained significantly more variance than the restricted unified theory of acceptance and use of technology model in acceptance of video consultation.

Conclusions: In this study computer proficiency, existing knowledge about digital health care solutions and depressive symptoms functioned as drivers to acceptance, no prior use of video consultation could be identified as a potential barrier. Patients with regular medication have been particularly receptive to video consultation. The study confirmed the validity of the unified theory of acceptance and use of technology model in determining acceptance of video consultation. Considering that there is growing demand and acceptance for different approaches to engage with health care providers, additional steps should be taken to establish video consultation as a genuine alternative.

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