Literature DB >> 29126341

[Acceptance of Online-based Therapy by Patients with Light to Moderate Depressive Disorders].

Christoph Dockweiler1, Anna Kupitz2, Claudia Hornberg1.   

Abstract

OBJECTIVES: Over the past few years, there has been a considerable increase in online-based therapeutic services for people affected by depressive disorders. The efficacy and efficiency of these programmes is well documented by now. User acceptance is considered as a significant factor of success in establishing this new patient-centered care. Theory-based acceptance surveys can provide valuable scientific knowledge regarding long-term introduction.
METHODS: A nationwide online survey was conducted to determine the attitude towards web-based psychotherapy services for depressive disorders, the current state of knowledge and the intention of 186 participants (124 female and 62 male participants; aged 21 and above) to use these services. The participants were recruited from support groups for depressive disorders. The determinants of the intention to use online therapy, which is included in the binary logistic regression, are based upon the Unified Theory of Acceptance and Use of Technology (UTAUT).
RESULTS: Nearly two-thirds of the respondents could conceive making use of online-based therapeutic services in the near future. The perceived performance and expected effort proved to be significantly influential predictors regarding the intention to use. Specifically, these included an evaluation of the use of E-Mental Health to assist disease management, and better assessment of the course of one's disease.
CONCLUSION: The actual contribution of E-Mental Health is closely connected to technical and jurisprudential assessments. But also, it significantly depends on evidence-based issues as well as user orientation in research, development and implementation. The results offer an initial theory-based approach to an increased user-oriented technology research in health care, with further diversity criteria to be taken into account in the future. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2017        PMID: 29126341     DOI: 10.1055/s-0043-119287

Source DB:  PubMed          Journal:  Gesundheitswesen        ISSN: 0941-3790


  4 in total

1.  Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review.

Authors:  Lorenz Harst; Hendrikje Lantzsch; Madlen Scheibe
Journal:  J Med Internet Res       Date:  2019-05-21       Impact factor: 5.428

Review 2.  Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy.

Authors:  Amelia Fiske; Peter Henningsen; Alena Buyx
Journal:  J Med Internet Res       Date:  2019-05-09       Impact factor: 5.428

3.  Acceptance of E-Mental Health Services for Different Application Purposes Among Psychotherapists in Clinical Training in Germany and Switzerland: Secondary Analysis of a Cross-Sectional Survey.

Authors:  Pia Braun; Marie Drüge; Severin Hennemann; Felix Jan Nitsch; Robert Staeck; Jennifer Apolinário-Hagen
Journal:  Front Digit Health       Date:  2022-02-28

4.  Public Attitudes Toward Guided Internet-Based Therapies: Web-Based Survey Study.

Authors:  Jennifer Apolinário-Hagen; Mathias Harrer; Fanny Kählke; Lara Fritsche; Christel Salewski; David Daniel Ebert
Journal:  JMIR Ment Health       Date:  2018-05-15
  4 in total

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