Evaluating user perceptions of the persuasive system design in a breastfeeding mHealth app: a cross-sectional study

The Persuasive Systems Design (PSD) model identifies software features that enhance mHealth app persuasiveness through behavioural reinforcement. Despite its potential, research remains limited in measuring users' perceptions of these persuasive features. This study validated an instrument for measuring user perceptions of persuasive features in a mHealth app, explored user experiences, and identified areas for improvement. This study used a descriptive cross-sectional online survey to collect quantitative and qualitative data. Construct validity was evaluated through Exploratory Factor Analysis (EFA), with data suitability confirmed by Bartlett's test and Kaiser-Meyer-Olkin measures. Cronbach's alpha assessed internal consistency, and an independent sample t-test examined demographic-response relationships (significance at 0.05, two-tailed).A total of 168 participants completed the survey. EFA revealed a four-factor solution with 23 items explaining 62.71% of total variance. The instrument demonstrated good discriminant validity and excellent internal consistency (Cronbach's alpha > 0.8). No significant demographic variations influenced responses.One-sample t-test results showed significant above-neutral PSD features perception scores (t(167) = −21.7, p

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Publication Details

Journal
Behaviour and Information Technology
Published
2024-12-10
DOI
https://doi.org/10.1080/0144929x.2024.2434901
Citations
2
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
1.70
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article

Evaluating user perceptions of the persuasive system design in a breastfeeding mHealth app: a cross-sectional study

Khin Than Win, Elena Vlahu‐Gjorgievska, Shahla Meedya, Alaa Ali S. Almohanna
2 citations
Behaviour and Information Technology
Mobile Health and mHealth Applications
1.70
article

Evaluating user perceptions of the persuasive system design in a breastfeeding mHealth app: a cross-sectional study

Khin Than Win, Elena Vlahu‐Gjorgievska, Shahla Meedya, Alaa Ali S. Almohanna
article en
2 citations

Abstract

The Persuasive Systems Design (PSD) model identifies software features that enhance mHealth app persuasiveness through behavioural reinforcement. Despite its potential, research remains limited in measuring users' perceptions of these persuasive features. This study validated an instrument for measuring user perceptions of persuasive features in a mHealth app, explored user experiences, and identified areas for improvement. This study used a descriptive cross-sectional online survey to collect quantitative and qualitative data. Construct validity was evaluated through Exploratory Factor Analysis (EFA), with data suitability confirmed by Bartlett's test and Kaiser-Meyer-Olkin measures. Cronbach's alpha assessed internal consistency, and an independent sample t-test examined demographic-response relationships (significance at 0.05, two-tailed).A total of 168 participants completed the survey. EFA revealed a four-factor solution with 23 items explaining 62.71% of total variance. The instrument demonstrated good discriminant validity and excellent internal consistency (Cronbach's alpha > 0.8). No significant demographic variations influenced responses.One-sample t-test results showed significant above-neutral PSD features perception scores (t(167) = −21.7, p

Behaviour and Information TechnologyVol. 44(1)
University of Wollongong (AU), Western Sydney University (AU)
Gender equality
Openalex Percentile: Top 13%
Mobile Health and mHealth Applications
1.70
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Evaluating user perceptions of the persuasive system design in a breastfeeding mHealth app: a cross-sectional study — Khin Than Win, Elena Vlahu‐Gjorgievska, et al. · Behaviour and Information Technology (2024) | TGRS Research Map | TGRS