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      Patient Acceptance of Prescribed and Fully Reimbursed mHealth Apps in Germany: An UTAUT2-based Online Survey Study

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          Abstract

          The study aims to (1) investigate current levels of patient acceptance of mHealth in Germany; (2) determine the influencing factors of patients' intention to use, and (3) test the influence of prescription and reimbursement status on patient acceptance. Online survey with 1349 participants, of which 1051 were complete and included for statistical analysis, from a broad cross-section of the German population, addressing both users of mobile health (mHealth) applications and people without prior experience. SEM modeling based on a combination of two theoretical frameworks: the extended Unified Theory of Acceptance and Use of Technology and Health Protective Behavior Theories were used to assess acceptance. Users of mHealth in Germany are mostly patients between the ages of 30 – 50 with mental health or endocrine conditions. General willingness to use mHealth apps / DiGAs (mHealth apps fully reimbursed by social health insurance) is high at 76%, especially if they are governmentally certified, however only 27% of respondents were willing to pay out of pocket. With the exception of a spike in performance expectancy and data security, DiGAs lack a clear differentiation from mHealth apps. Perceived self-efficacy and performance expectancy are significant predictors of willingness to use digital health interventions; with age, attitude, and e-literacy being key demographic predictors. A key takeaway for regulators, providers of mHealth apps/ DiGAs, and other stakeholders involved in mHealth adoption is the importance of addressing negative beliefs early on, targeted communication around effortless usage of mHealth services across age groups and demographics, and focus on highlighting expected benefits of mHealth app/ DiGA usage.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s10916-023-01910-x.

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          Most cited references28

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          The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration.

          Systematic reviews and meta-analyses are essential to summarize evidence relating to efficacy and safety of health care interventions accurately and reliably. The clarity and transparency of these reports, however, is not optimal. Poor reporting of systematic reviews diminishes their value to clinicians, policy makers, and other users. Since the development of the QUOROM (QUality Of Reporting Of Meta-analysis) Statement--a reporting guideline published in 1999--there have been several conceptual, methodological, and practical advances regarding the conduct and reporting of systematic reviews and meta-analyses. Also, reviews of published systematic reviews have found that key information about these studies is often poorly reported. Realizing these issues, an international group that included experienced authors and methodologists developed PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) as an evolution of the original QUOROM guideline for systematic reviews and meta-analyses of evaluations of health care interventions. The PRISMA Statement consists of a 27-item checklist and a four-phase flow diagram. The checklist includes items deemed essential for transparent reporting of a systematic review. In this Explanation and Elaboration document, we explain the meaning and rationale for each checklist item. For each item, we include an example of good reporting and, where possible, references to relevant empirical studies and methodological literature. The PRISMA Statement, this document, and the associated Web site (http://www.prisma-statement.org/) should be helpful resources to improve reporting of systematic reviews and meta-analyses.
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            Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology

            Venkatesh, Thong, Xu (2012)
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              Health promotion by social cognitive means.

              This article examines health promotion and disease prevention from the perspective of social cognitive theory. This theory posits a multifaceted causal structure in which self-efficacy beliefs operate together with goals, outcome expectations, and perceived environmental impediments and facilitators in the regulation of human motivation, behavior, and well-being. Belief in one's efficacy to exercise control is a common pathway through which psychosocial influences affect health functioning. This core belief affects each of the basic processes of personal change--whether people even consider changing their health habits, whether they mobilize the motivation and perseverance needed to succeed should they do so, their ability to recover from setbacks and relapses, and how well they maintain the habit changes they have achieved. Human health is a social matter, not just an individual one. A comprehensive approach to health promotion also requires changing the practices of social systems that have widespread effects on human health.
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                Author and article information

                Contributors
                leonard.fehring@uni-wh.de
                Journal
                J Med Syst
                J Med Syst
                Journal of Medical Systems
                Springer US (New York )
                0148-5598
                1573-689X
                27 January 2023
                27 January 2023
                2023
                : 47
                : 1
                : 14
                Affiliations
                [1 ]GRID grid.412581.b, ISNI 0000 0000 9024 6397, Faculty of Health, School of Medicine, , Witten/Herdecke University, ; Alfred-Herrhausen-Strasse 50, 58448 Witten, Germany
                [2 ]GRID grid.412581.b, ISNI 0000 0000 9024 6397, Health Care Informatics, Faculty of Health, School of Medicine, , Witten/Herdecke University, ; Alfred-Herrhausen-Strasse 50, Witten, 58448 Germany
                [3 ]GRID grid.469821.0, ISNI 0000 0000 8536 919X, Department Healthcare, , Fraunhofer Institute for Software and Systems Engineering, ; Dortmund, Germany
                [4 ]GRID grid.490185.1, Helios Universitätsklinik Wuppertal, ; Medizinische Klinik 2, Wuppertal, Germany
                Author information
                http://orcid.org/0000-0002-0694-7970
                http://orcid.org/0000-0003-2316-8781
                http://orcid.org/0000-0003-0522-986X
                http://orcid.org/0000-0002-3322-3724
                Article
                1910
                10.1007/s10916-023-01910-x
                9880914
                36705853
                9b496281-be3d-40c5-8d48-4e30fc9568bb
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 July 2022
                : 3 January 2023
                Funding
                Funded by: Private Universität Witten/Herdecke gGmbH (3128)
                Categories
                Original Paper
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2023

                Public health
                mobile health,mhealth,digital health,utaut2,technology acceptance
                Public health
                mobile health, mhealth, digital health, utaut2, technology acceptance

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