印度多病研究综述:范围综述。

Journal of multimorbidity and comorbidity Pub Date : 2025-07-04 eCollection Date: 2025-01-01 DOI:10.1177/26335565251355837
Parul Puri, Siaa Girotra, Arpita Ghosh
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引用次数: 0

摘要

目标:人口和流行病学的变化导致人们生活在共存的健康问题中,称为“多病”。鉴于印度人口老龄化、非传染性疾病负担增加、慢性感染、医疗保健分散以及对专科护理的依赖,需要进行范围审查,以了解印度多病研究的范围和性质。方法:在PubMed、Cochrane和Embase上进行了全面的搜索,以关注多发病的研究,特别是来自印度的信息。两名审稿人独立筛选结果并提取有关定义的信息,包括使用截止值或最低数量的条件、数据和方法、模式、风险因素和结果。采用描述性统计和叙述性综合方法对结果进行综合。结果:在9954个鉴定的研究中,有100个被纳入最终的合成。其中62项为二次分析,35项为收集原始数据,3项为收集管理数据。大多数研究将多重疾病定义为两种或两种以上的慢性或长期疾病,但没有具体说明是否包括长期感染或精神健康状况。条件的数量在4到22之间变化。循环系统疾病、内分泌-营养-代谢疾病和呼吸系统疾病是最常见的。除了简单的疾病计数外,15项研究报告了联合用药。医疗保健利用、自费支出和生活质量通常被研究,主要采用横断面设计。结论:需要一个具有明确定义的标准化条件组来测量多重发病率。病情应通过自我报告、体格检查和实验室调查相结合来确定。此外,纵向研究侧重于多发病,其结果需要加强在印度的证据基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of multimorbidity research in India: A scoping review.

Objectives: Demographic and epidemiological shifts have led to people living with coexisting health issues, known as 'multimorbidity'. Given India's aging population, rising noncommunicable disease burden, chronic infections, fragmented healthcare, and reliance on specialist care, a scoping review is needed to understand the extent and nature of research on multimorbidity in India.

Methods: A comprehensive search was conducted across PubMed, Cochrane, and Embase for studies focused on multimorbidity, with information specifically from India. Two reviewers independently screened the results and extracted information on definitions, including use of cut-offs or a minimum number of conditions, data and methods, patterns, risk factors and outcomes. Results were synthesized using descriptive statistics and narrative synthesis.

Results: Of 9954 identified studies, 100 were included in the final synthesis. Of these, 62 were secondary analyses, 35 collected primary data, and 3 used administrative data. Most studies defined multimorbidity as two or more chronic or long-term conditions but did not specify whether long-term infections or mental health conditions were included. The number of conditions varied between 4 and 22. Circulatory, endocrine-nutritional-metabolic, and respiratory diseases were most frequently included. Beyond simple disease counts, combinations were reported in 15 studies. Healthcare utilization, out-of-pocket expenditure, and quality of life were commonly studied, mostly using cross-sectional designs.

Conclusion: A standardised panel of conditions with clear definitions is needed for measuring multimorbidity. Conditions should be ascertained through a combination of self-report, physical examinations, and laboratory investigations. Additionally, longitudinal studies focused on multimorbidity, and its outcomes are needed to strengthen evidence base in India.

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