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.

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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
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article

Psychometric evaluation of acceptability, appropriateness, and feasibility measures for a students’ online health appointment system in a university hospital in Ghana

Emmanuel Konadu, Brenda Abena Ampah, Eric Kojo Nsa Oduro, Phanuel Seli Kwadzo Asense et al.
Implementation Science Communications
Global Maternal and Child Health
article

Psychometric evaluation of acceptability, appropriateness, and feasibility measures for a students’ online health appointment system in a university hospital in Ghana

Emmanuel Konadu, Brenda Abena Ampah, Eric Kojo Nsa Oduro, Phanuel Seli Kwadzo Asense, Mercy Addae, Nana Kwame Ayisi-Boateng, Douglas Aninng Opoku, Francis Akabo, Irene Ohene Manu, Nana Akua Abruquah, Julius Kwabena Karikari, Godknows Mensah Kunkpe, Elizabeth Oppong-Kyekyeku
article en

Abstract

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.

Implementation Science Communications
Kwame Nkrumah University of Science and Technology (GH)
Openalex Percentile: Top 26%
Global Maternal and Child Health
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