Evaluating the Acceptance of Diabetes Monitoring Applications in the Philippines: A TAM2 Model Approach

This study evaluates the acceptance of diabetes monitoring applications among Filipinos diagnosed with Type II diabetes mellitus using the TAM2 model, which assesses technological acceptance, such as users’ intention to use, usage behavior, perceived usefulness, and perceived ease of use. A survey with 24 statements was conducted among 100 participants aged 40 to 70 years old who evaluated diabetes monitoring applications such as mySugr, Glucose Buddy, Health2Sync, and Diabetes: M through a 7-point Likert scale. The data gathered was analyzed and interpreted using the Partial Least Squares Structural Equation Model. Results revealed that the perceived ease of use, subjective norm, job relevance, output quality, and result demonstrability promoted the perceived usefulness of the applications, leading to the perceived usefulness promoting the behavioral intention for users to use the applications. However, perceived ease of use itself negatively affected the behavioral intention, and the image negatively affected the perceived usefulness of the users.

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Published
2025-08-09
DOI
https://doi.org/10.1109/isci65687.2025.11167213
Citations
1
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
1.39
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article

Evaluating the Acceptance of Diabetes Monitoring Applications in the Philippines: A TAM2 Model Approach

Michelle Renee D. Ching, Maurin Isabel Mateo, Zion Theodore Asinas, Jasmine Faith Dacuycuy et al.
1 citations
Cardiovascular Health and Risk Factors
1.39
article

Evaluating the Acceptance of Diabetes Monitoring Applications in the Philippines: A TAM2 Model Approach

Michelle Renee D. Ching, Maurin Isabel Mateo, Zion Theodore Asinas, Jasmine Faith Dacuycuy, Angeline Raveche
article en
1 citations

Abstract

This study evaluates the acceptance of diabetes monitoring applications among Filipinos diagnosed with Type II diabetes mellitus using the TAM2 model, which assesses technological acceptance, such as users’ intention to use, usage behavior, perceived usefulness, and perceived ease of use. A survey with 24 statements was conducted among 100 participants aged 40 to 70 years old who evaluated diabetes monitoring applications such as mySugr, Glucose Buddy, Health2Sync, and Diabetes: M through a 7-point Likert scale. The data gathered was analyzed and interpreted using the Partial Least Squares Structural Equation Model. Results revealed that the perceived ease of use, subjective norm, job relevance, output quality, and result demonstrability promoted the perceived usefulness of the applications, leading to the perceived usefulness promoting the behavioral intention for users to use the applications. However, perceived ease of use itself negatively affected the behavioral intention, and the image negatively affected the perceived usefulness of the users.

De La Salle University (PH)
Openalex Percentile: Top 15%
Cardiovascular Health and Risk Factors
1.39
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