Implementation of the PBRI Model via Mobile Applications and Digital Health for Non-Communicable Diseases Management in Thailand: A Scoping Review
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Abstract
This scoping review aimed to synthesize evidence on the application of the Praboromarajchanok Institute (PBRI) Model, the 7-Color Life Traffic Light System, mobile applications, and digital health in non-communicable diseases (NCDs) management in Thailand, categorizing technological modalities, functional features, and reported outcomes. Guided by the Joanna Briggs Institute (JBI) methodology and the PRISMA-ScR framework, the inclusion criteria were defined using the PCC mnemonic: Population (P) comprised the general public, at-risk groups, NCDs patients, healthcare personnel, village health volunteers (VHVs), or system users; Concept (C) involved the PBRI Model, the 7-Color Life Traffic Light System, applications, or digital health solutions; and Context (C) focused on NCDs management in Thailand. Literature searches were conducted across ThaiJO, Google Scholar, and TDC-ThaiLIS databases for articles published in both Thai and English languages between 2021 and 2025. Study selection and data extraction were performed independently by three reviewers, and data were analyzed using descriptive statistics and content synthesis.
Seven studies met the inclusion criteria, predominantly employing quasi-experimental designs. Six studies (85.71%) focused on patients with diabetes, hypertension, or at-risk individuals in community settings. Technological modalities utilized included LINE Official Accounts/applications, mobile applications, and integrated health database systems. Key functions encompassed automated color-coded risk stratification, personalized counseling, blood glucose or blood pressure tracking, and individualized risk alerts. Available empirical evidence suggests potential positive trends toward enhancing knowledge, risk perception, user satisfaction, and community-based health monitoring. However, health behaviors and clinical outcomes remained varied. Consequently, further investigations employing rigorous experimental or quasi-experimental designs with clear control groups and optimal follow-up periods are recommended to confirm efficacy.
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