Your browser doesn't support javascript.
loading
Acceptance of digital health applications in non-pharmacological therapies in German statutory healthcare system: Results of an online survey.
Frey, Silke; Kerkemeyer, Linda.
Afiliação
  • Frey S; Institute of General Practice and Family Medicine, University of Bonn, Bonn, Nordrhein-Westfalen, Germany.
  • Kerkemeyer L; University of Applied Sciences, Stralsund, Germany.
Digit Health ; 8: 20552076221131142, 2022.
Article em En | MEDLINE | ID: mdl-36506488
Objective: On the way to a modern digital healthcare system, Germany becomes a driver of innovation by integrating digital health applications (Digitale Gesundheitsanwendungen (DiGAs)) into standard care. Although all insured persons of the statutory health insurance are eligible for a registered DiGA, utilisation has been rather restrained so far. There seems to be a lack of acceptance among healthcare providers. The aim of this study is to analyse the acceptance of DiGAs in non-pharmacological therapies. Methods: A total of 150 therapists from the fields of physical therapy, occupational therapy, and speech-language pathology participated in an online survey. The questionnaire captured knowledge, intention to use, opinions on advantages and disadvantages of DiGA usage as well as general technology acceptance and commitment. Results: About 36% of the therapists knew DiGAs, while about 64% had not yet heard of these offers. In addition, 87% of the respondents can imagine integrating DiGAs into their treatment or were already doing so at the time of the survey. Potentials for using DiGAs are seen especially in the quality improvement of therapy, in the increase of the sustainability of the therapy and in promotion of patients' health literacy. The therapists stated barriers in the lack of technical infrastructure and in the patients' insufficient digital health literacy. Conclusion: The results indicate the potential for DiGAs to be further implemented in non-pharmacological therapies. The facilitators and barriers identified allow recommendations to be derived for relevant stakeholders.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Ano de publicação: 2022 Tipo de documento: Article