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Publication Date

5-2023

Abstract

Design and implementation of mobile health (mHealth) interventions that are usable and acceptable requires assessment of end-users’ perspectives, but theory-based validated measures are scant. Objective: To examine the internal consistency of a novel measure of mHealth acceptability that is being utilized in a COVID-19 testing intervention with African American church members. Methods: Participants completed a novel mHealth acceptability survey measure based on the Theory of Planned Behavior and the Technology Acceptance Model before receiving a religiously-tailored text messaging intervention component to encourage COVID-19 testing. The 7-item scale assessed multiple dimensions of acceptability of text messaging: interest, difficulty, enjoyment, confidence, utility, worry, and likelihood of reading the text messages. Difficulty and worry items were reverse coded. Results: 1040 participants (79% Female, M age=50.5 yrs, 96.8% African American, 26.1% with Bachelor’s degrees) completed the scale. Internal consistency was acceptable (Cronbach’s α=.76), and removing the “difficulty” and “worry” items increased α to .89. Acceptability ratings (utilizing a 5-point scale, with 1=not at all, 5=very) were above the midpoint for all dimensions. Means and standard deviations (±) were: interest (3.27±1.28), difficulty (4.20±1.18), enjoyment (3.05±1.22), confidence (3.80±1.29), utility: (3.43±1.24), worry (4.19±1.20), and likelihood (3.60±1.27). Principal components analysis revealed two components; with the two negatively worded items (“difficulty” and “worry”) forming the second factor. Conclusion: The measure demonstrates promise for assessing baseline acceptability of mHealth intervention components. Generalizability of these findings to other groups and mHealth tools, and future direction for measure development and dissemination, are discussed.

Document Type

Poster

Psychometric Properties of a Theory-Based Assessment of mHealth Acceptability   in a Faith-based COVID-19 SMS Intervention

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