尼泊尔多病流行病学:系统回顾和荟萃分析。

Journal of multimorbidity and comorbidity Pub Date : 2024-09-14 eCollection Date: 2024-01-01 DOI:10.1177/26335565241284022
Abhinav Sinha, S Shradha Suman, Narayan Subedi, Krushna Chandra Sahoo, Mukesh Poudel, Arohi Chauhan, Banamber Sahoo, Marjan van den Akker, David Weller, Stewart W Mercer, Sanghamitra Pati
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引用次数: 0

摘要

背景:尼泊尔等中低收入国家的多病症发病率正在上升,但这一领域的研究却没有取得进展。我们的目的是系统回顾尼泊尔现有的多病症文献,估算多病症的发病率,并绘制其风险因素和后果图:我们查阅了从 PubMed、Embase 和 CINAHL 收集的数据,包括报告尼泊尔多病流行情况的原创研究。采用横断面研究评估工具对纳入研究的质量进行了评估。综述既有定性分析,也有通过荟萃分析得出的汇总患病率。我们在 PROSPERO(CRD42024499598)上进行了前瞻性注册:结果:我们确定了 423 项研究,其中 7 项被纳入本综述。所有研究都是在社区环境中进行的,只有一项研究是在医院进行的。各项研究报告的患病率从 13.96% 到 70.1% 不等。据观察,多病共存的患病率为 25.05%(95% CI:16.99 至 34.09)。用于评估多病症的病症数量从 4 种到 9 种不等。发现的主要风险因素是年龄增长、居住在城市和识字率较低:结论:多病症患病率差异很大。此外,多病评估工具/多病评估条件也不尽相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Epidemiology of multimorbidity in Nepal: A systematic review and meta-analysis.

Background: Multimorbidity is rising in low-and middle-income countries such as Nepal, yet the research has not gained pace in this field. We aimed to systematically review the existing multimorbidity literature in Nepal and estimate the prevalence and map its risk factors and consequences.

Methods: We reviewed data collated from PubMed, Embase and CINAHL by including original studies that reported prevalence of multimorbidity in Nepal. The quality of included studies was assessed using the Appraisal Tool for Cross-sectional Studies. The summary of the review is presented both qualitatively as well as through meta-analysis to give pooled prevalence. We prospectively registered in PROSPERO (CRD42024499598).

Results: We identified 423 studies out of which seven were included in this review. All studies were conducted in a community setting except one which was hospital based. The prevalence reported across various studies ranged from 13.96% to 70.1%. The pooled prevalence of multimorbidity was observed to be 25.05% (95% CI: 16.99 to 34.09). The number of conditions used to assess multimorbidity ranged from four to nine. The major risk factors identified were increasing age, urban residence, and lower literacy rates.

Conclusion: A wide variance in the prevalence of multimorbidity was observed. Moreover, multimorbidity assessment tool/conditions considered for assessing multimorbidity were heterogeneous.

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