User profiles in digitalized healthcare: active, potential, and rejecting — a cross-sectional study using latent class analysis
Socio-demographic and socio-economic differences were identified among three user types. It can therefore be assumed that not all population groups will benefit from the trend towards digitalization in healthcare. Steps should be taken to enhance access to innovations and ensure that everyone benefits from them.
Authors
- Anke Steckelberg (ORCID: https://orcid.org/0000-0002-8687-3149)
- Karl V. Healy
- Thomas Frese (ORCID: https://orcid.org/0000-0001-9745-5690)
- Jan Schildmann (ORCID: https://orcid.org/0000-0002-5755-7630)
- Eva Johanna Kantelhardt (ORCID: https://orcid.org/0000-0001-7935-719X)
- Anja Knöchelmann (ORCID: https://orcid.org/0000-0001-7762-9024)
- Gabriele Meyer (ORCID: https://orcid.org/0000-0002-3188-2902)
- Rafael Mikolajczyk (ORCID: https://orcid.org/0000-0003-1271-7204)
- Max Herke (ORCID: https://orcid.org/0000-0001-6425-4366)
Institutions
- Luther University (KR)
- Martin Luther University Halle-Wittenberg (DE)
Publication Details
- Journal
- BMC Health Services Research
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1186/s12913-024-11523-w
- Citations
- 6
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.10