Analysis of Factors Influencing the Acceptance of Health Monitoring Applications Using UTAUT2: A Case Study in Sukabumi Regency

The growth and development of individuals are heavily reliant on sufficient nutritional intake, which profoundly influences quality of life and overall life expectancy. Children in early stages of life who suffer from nutritional deficiencies are at high risk of stunting, which adversely affects brain development and physical growth. Stunting limits a child's potential, affecting education, social interactions, and societal participation. As Indonesia strives to become a developed nation by 2045, stunting remains a significant obstacle in human resource development. The government has prioritized reducing stunting rates and views health monitoring applications as a promising intervention. However, the deployment of these applications faces challenges such as limited usage and other barriers that reduce their effectiveness. This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the acceptance of health monitoring applications among the Indonesian population, focusing on mothers and expectant mothers. The findings suggest that Facilitating Conditions (FC) significantly impact Use Behavior (UB) among users in the 25–34 and 35+ age groups, highlighting the importance of enhancing technical support and infrastructure for these demographics. Most independent variables significantly influenced the dependent variables, particularly Behavioral Intention (BI), which plays a critical role in influencing Use Behavior (UB). This emphasizes the need to improve user perceptions of ease of use, application benefits, and user motivation. These insights provide crucial recommendations for improving the adoption and effectiveness of health monitoring applications in Indonesia, particularly in addressing stunting prevention.

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Published
2024-10-09
DOI
https://doi.org/10.1109/icondbtm64135.2024.11122842
Primary Topic
Mobile Health and mHealth Applications
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article
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article

Analysis of Factors Influencing the Acceptance of Health Monitoring Applications Using UTAUT2: A Case Study in Sukabumi Regency

Widia Febriyani, Rahmat Fauzi, Naoval
Mobile Health and mHealth Applications
article

Analysis of Factors Influencing the Acceptance of Health Monitoring Applications Using UTAUT2: A Case Study in Sukabumi Regency

Widia Febriyani, Rahmat Fauzi, Naoval
article en

Abstract

The growth and development of individuals are heavily reliant on sufficient nutritional intake, which profoundly influences quality of life and overall life expectancy. Children in early stages of life who suffer from nutritional deficiencies are at high risk of stunting, which adversely affects brain development and physical growth. Stunting limits a child's potential, affecting education, social interactions, and societal participation. As Indonesia strives to become a developed nation by 2045, stunting remains a significant obstacle in human resource development. The government has prioritized reducing stunting rates and views health monitoring applications as a promising intervention. However, the deployment of these applications faces challenges such as limited usage and other barriers that reduce their effectiveness. This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the acceptance of health monitoring applications among the Indonesian population, focusing on mothers and expectant mothers. The findings suggest that Facilitating Conditions (FC) significantly impact Use Behavior (UB) among users in the 25–34 and 35+ age groups, highlighting the importance of enhancing technical support and infrastructure for these demographics. Most independent variables significantly influenced the dependent variables, particularly Behavioral Intention (BI), which plays a critical role in influencing Use Behavior (UB). This emphasizes the need to improve user perceptions of ease of use, application benefits, and user motivation. These insights provide crucial recommendations for improving the adoption and effectiveness of health monitoring applications in Indonesia, particularly in addressing stunting prevention.

Telkom University (ID)
Openalex Percentile: Top 50%
Mobile Health and mHealth Applications
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Analysis of Factors Influencing the Acceptance of Health Monitoring Applications Using UTAUT2: A Case Study in Sukabumi Regency — Widia Febriyani, Rahmat Fauzi, et al. · (2024) | TGRS Research Map | TGRS