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开发和评估“多重生活”干预措施:一种基于移动健康的生活方式工具包,用于糖尿病和高血压管理中的心脏代谢合并症——一项1型混合有效性-实施试验方案

Developing and assessing the "MultiLife" intervention: a mobile health-based lifestyle toolkit for cardiometabolic multimorbidity in diabetes and hypertension management - a type 1 hybrid effectiveness-implementation trial protocol.

作者信息

Pati Sanghamitra, Menon Jaideep, Rehman Tanveer, Agrawal Ritik, Kshatri Jayasingh, Palo Subrata Kumar, Janakiram Chandrashekar, Mitra Srijeeta, Sreedevi Aswathy, Anand Tanu

机构信息

ICMR Regional Medical Research Centre, Bhubaneswar, Odisha, India.

Amrita Institute of Medical Sciences (AIMS), Kochi, India.

出版信息

BMC Public Health. 2025 Jan 2;25(1):3. doi: 10.1186/s12889-024-20922-x.

Abstract

BACKGROUND

Cardiometabolic multimorbidity (CMM), characterized by the coexistence of diabetes, hypertension, and cardiovascular disease, poses a major health challenge in India, particularly in rural areas with limited healthcare resources. Lifestyle interventions can manage cardiometabolic risk factors, yet adherence remains suboptimal. Mobile health (mHealth) interventions offer a scalable approach for managing CMM by promoting behaviour change and medication adherence. We will develop and evaluate the MultiLife intervention, a mHealth-based lifestyle toolkit aimed at improving CMM management among individuals receiving primary care in Eastern India in the year 2025.

METHODS

This study is a two-arm, cluster-randomized controlled trial with a hybrid Type 1 design involving 840 participants across 18 primary health centres in Odisha and Jharkhand. Using the Health Belief Model as a conceptual framework, the MultiLife intervention will deliver daily digital reminders, weekly health education broadcasts, and ongoing primary care support in the intervention arm, while the control group will receive the standard ongoing primary care support care. The trained healthcare workers will recruit 50 CMM patients, with a 6-month intervention period, during routine visits in each cluster. Primary outcomes include changes in HbA1c from baseline (T0) to end-line (T6). Secondary outcomes include blood pressure, body mass index, physical activity, and dietary habits. Qualitative assessments will explore intervention barriers and facilitators. Implementation outcomes, assessed through the RE-AIM QuEST framework, will evaluate MultiFrame's acceptability, adoption, fidelity, and maintenance. A random-effects regression model will be used for difference-in-difference analysis, adjusting for covariates and within-cluster correlations.

DISCUSSION

The MultiLife trial may provide valuable insights into how mHealth-enabled primary care can enhance patient engagement, adherence, and cardiovascular risk reduction in resource-constrained settings. By integrating patient perspectives, this study could inform scalable digital health strategies for comprehensive CMM management, providing a model for future interventions in similar contexts.

TRIAL REGISTRATION

CTRI.nic.in, CTRI/2024/10/074559, Registered on 1 October 2024.

摘要

背景

心脏代谢多重疾病(CMM)以糖尿病、高血压和心血管疾病并存为特征,在印度构成了重大的健康挑战,尤其是在医疗资源有限的农村地区。生活方式干预可以控制心脏代谢风险因素,但依从性仍然不理想。移动健康(mHealth)干预通过促进行为改变和药物依从性,为管理CMM提供了一种可扩展的方法。我们将开发并评估MultiLife干预措施,这是一种基于移动健康的生活方式工具包,旨在改善2025年印度东部接受初级保健的个人的CMM管理。

方法

本研究是一项双臂、整群随机对照试验,采用混合1型设计,涉及奥里萨邦和贾坎德邦18个初级卫生中心的840名参与者。以健康信念模型为概念框架,MultiLife干预措施将在干预组提供每日数字提醒、每周健康教育广播以及持续的初级保健支持,而对照组将接受标准的持续初级保健支持。经过培训的医护人员将在每个整群的常规就诊期间招募50名CMM患者,干预期为6个月。主要结局包括糖化血红蛋白(HbA1c)从基线(T0)到终点(T6)的变化。次要结局包括血压、体重指数、身体活动和饮食习惯。定性评估将探索干预的障碍和促进因素。通过RE-AIM QuEST框架评估的实施结局将评估MultiFrame的可接受性、采用率、保真度和维持情况。将使用随机效应回归模型进行差分分析,对协变量和群内相关性进行调整。

讨论

MultiLife试验可能会为在资源有限的环境中,移动健康支持的初级保健如何提高患者参与度、依从性以及降低心血管风险提供有价值的见解。通过纳入患者的观点,本研究可为全面管理CMM的可扩展数字健康策略提供信息,为未来类似背景下的干预措施提供一个模型。

试验注册

CTRI.nic.in,CTRI/2024/10/074559,于2024年10月1日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fad/11694374/8af4739dd6ab/12889_2024_20922_Fig1_HTML.jpg

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