Irawan Aalbrecht A, Anggriani Nursanti, Andriyana Yudhie, Abdulah Rizky
Doctoral Program in Mathematics, Faculty of Mathematics and Natural Science, Universitas Padjadjaran, Jatinangor, West Java, Indonesia.
Department of Mathematics, Faculty of Mathematics and Natural Science, Universitas Padjadjaran, Jatinangor, West Java, Indonesia.
J Multidiscip Healthc. 2025 May 1;18:2429-2440. doi: 10.2147/JMDH.S510753. eCollection 2025.
Diabetes mellitus (DM) poses a significant global health and economic challenge. Effective diabetes management requires a multifaceted approach that combines clinical and community-based interventions. Community-based interventions are critical to address the growing burden of diabetes. Despite numerous independent studies on community-based interventions for T2DM management and mathematical models, there has been no comprehensive review integrating these two domains. This systematic literature review aimed to fill this gap by examining mathematical modelling in the context of community-based interventions for T2DM management. Following the PRISMA guidelines, relevant articles were identified, screened, and assessed for eligibility using the Scopus, ScienceDirect, and PubMed databases. The inclusion criterion was English-language research articles published between 2014 and 2024 that focused on T2DM interventions using mathematical models. Seven articles met the final inclusion criteria and were analysed to answer research questions related to the geographical origin of the data, nature of the intervention, specific mathematical model used, and the main findings of the primary study. This review highlights that mathematical models are critical for optimising community-based interventions, by identifying key risk factors, predicting disease progression, and evaluating the effectiveness of various treatments. By synthesising findings from different geographical and economic contexts, this review highlights the importance of culturally and contextually relevant strategies for diabetes management. The integration of robust mathematical models with community-based approaches promises to develop more effective evidence-based strategies for diabetes management, particularly in resource-limited settings.
糖尿病(DM)对全球健康和经济构成了重大挑战。有效的糖尿病管理需要采取多方面的方法,将临床干预和基于社区的干预相结合。基于社区的干预对于应对日益加重的糖尿病负担至关重要。尽管有许多关于基于社区的2型糖尿病管理干预措施和数学模型的独立研究,但尚未有将这两个领域整合的全面综述。本系统文献综述旨在通过研究基于社区的2型糖尿病管理干预措施背景下的数学建模来填补这一空白。遵循PRISMA指南,使用Scopus、ScienceDirect和PubMed数据库识别、筛选和评估相关文章的 eligibility。纳入标准是2014年至2024年发表的英文研究文章,这些文章聚焦于使用数学模型的2型糖尿病干预措施。七篇文章符合最终纳入标准,并进行了分析,以回答与数据的地理来源、干预措施的性质、使用的具体数学模型以及主要研究的主要发现相关的研究问题。本综述强调,数学模型对于优化基于社区的干预措施至关重要,通过识别关键风险因素、预测疾病进展以及评估各种治疗方法的有效性。通过综合不同地理和经济背景下的研究结果,本综述强调了文化和背景相关的糖尿病管理策略的重要性。强大的数学模型与基于社区的方法相结合,有望为糖尿病管理制定更有效的循证策略,特别是在资源有限的环境中。