Psychometric evaluation of acceptability, appropriateness, and feasibility measures for a students’ online health appointment system in a university hospital in Ghana
We found promising psychometric properties of the adapted Acceptability, Appropriateness, and Feasibility measures, including high internal consistency, good model fit, and strong convergent validity. However, significant overlap between acceptability and appropriateness necessitates that future studies refine these constructs conceptually and empirically, thereby improving their discriminant validity. Importantly, these validated measures provide a valuable framework for guiding evaluations of digital health implementation in similar settings.
Authors
- Emmanuel Konadu (ORCID: https://orcid.org/0000-0001-7682-766X)
- Brenda Abena Ampah
- Eric Kojo Nsa Oduro (ORCID: https://orcid.org/0009-0002-4919-8735)
- Phanuel Seli Kwadzo Asense
- Mercy Addae (ORCID: https://orcid.org/0009-0001-2475-7900)
- Nana Kwame Ayisi-Boateng
- Douglas Aninng Opoku
- Francis Akabo
- Irene Ohene Manu
- Nana Akua Abruquah
- Julius Kwabena Karikari
- Godknows Mensah Kunkpe
- Elizabeth Oppong-Kyekyeku
Institutions
- Kwame Nkrumah University of Science and Technology (GH)
Publication Details
- Journal
- Implementation Science Communications
- Published
- 2026-03-12
- DOI
- https://doi.org/10.1186/s43058-026-00899-x
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00