Hai Nguyen, Gergana Manolova, Christina Daskalopoulou, Silia Vitoratou, Martin Prince, A Matthew Prina
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Overall and stratified analyses according to multimorbidity operational definitions, HICs/LMICs status, gender and age were performed. A random-effects model for meta-analysis was used.</p><p><strong>Results: </strong>Seventy community-based studies (conducted in 18 HICs and 31 LMICs) were included in the final sample. Sample sizes ranged from 264 to 162,464. The overall pooled prevalence of multimorbidity was 33.1% (95% confidence interval (CI): 30.0-36.3%). There was a considerable difference in the pooled estimates between HICs and LMICs, with prevalence being 37.9% (95% CI: 32.5-43.4%) and 29.7% (26.4-33.0%), respectively. Heterogeneity across studies was high for both overall and stratified analyses (<i>I</i> <sup>2</sup> > 99%). A sensitivity analysis showed that none of the reviewed studies skewed the overall pooled estimates.</p><p><strong>Conclusion: </strong>A large proportion of the global population, especially those aged 65+, is affected by multimorbidity. To allow accurate estimations of disease burden, and effective disease management and resources distribution, a standardised operationalisation of multimorbidity is needed.</p>","PeriodicalId":92071,"journal":{"name":"Journal of comorbidity","volume":"9 ","pages":"2235042X19870934"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/2235042X19870934","citationCount":"253","resultStr":"{\"title\":\"Prevalence of multimorbidity in community settings: A systematic review and meta-analysis of observational studies.\",\"authors\":\"Hai Nguyen, Gergana Manolova, Christina Daskalopoulou, Silia Vitoratou, Martin Prince, A Matthew Prina\",\"doi\":\"10.1177/2235042X19870934\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>With ageing world populations, multimorbidity (presence of two or more chronic diseases in the same individual) becomes a major concern in public health. Although multimorbidity is associated with age, its prevalence varies. This systematic review aimed to summarise and meta-analyse the prevalence of multimorbidity in high, low- and middle-income countries (HICs and LMICs).</p><p><strong>Methods: </strong>Studies were identified by searching electronic databases (Medline, Embase, PsycINFO, Global Health, Web of Science and Cochrane Library). The term 'multimorbidity' and its various spellings were used, alongside 'prevalence' or 'epidemiology'. Quality assessment employed the Newcastle-Ottawa scale. Overall and stratified analyses according to multimorbidity operational definitions, HICs/LMICs status, gender and age were performed. A random-effects model for meta-analysis was used.</p><p><strong>Results: </strong>Seventy community-based studies (conducted in 18 HICs and 31 LMICs) were included in the final sample. Sample sizes ranged from 264 to 162,464. The overall pooled prevalence of multimorbidity was 33.1% (95% confidence interval (CI): 30.0-36.3%). There was a considerable difference in the pooled estimates between HICs and LMICs, with prevalence being 37.9% (95% CI: 32.5-43.4%) and 29.7% (26.4-33.0%), respectively. Heterogeneity across studies was high for both overall and stratified analyses (<i>I</i> <sup>2</sup> > 99%). A sensitivity analysis showed that none of the reviewed studies skewed the overall pooled estimates.</p><p><strong>Conclusion: </strong>A large proportion of the global population, especially those aged 65+, is affected by multimorbidity. To allow accurate estimations of disease burden, and effective disease management and resources distribution, a standardised operationalisation of multimorbidity is needed.</p>\",\"PeriodicalId\":92071,\"journal\":{\"name\":\"Journal of comorbidity\",\"volume\":\"9 \",\"pages\":\"2235042X19870934\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/2235042X19870934\",\"citationCount\":\"253\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of comorbidity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/2235042X19870934\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2019/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of comorbidity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/2235042X19870934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 253
摘要
背景:随着世界人口老龄化,多发病(同一个人患有两种或两种以上慢性病)成为公共卫生中的一个主要问题。尽管多发病与年龄有关,但其患病率各不相同。本系统综述旨在总结和荟萃分析高收入、低收入和中等收入国家(HICs和LMIC)的多发病率。方法:通过搜索电子数据库(Medline、Embase、PsycINFO、Global Health、Web of Science和Cochrane Library)来确定研究。“多发病”一词及其各种拼写与“流行率”或“流行病学”一起使用。质量评估采用纽卡斯尔-渥太华量表。根据多发病操作定义、HICs/LMIC状况、性别和年龄进行了全面和分层分析。采用随机效应模型进行荟萃分析。结果:70项基于社区的研究(在18个HIC和31个LMIC中进行)被纳入最终样本。样本量从264到162464不等。多发性疾病的总体合并患病率为33.1%(95%置信区间(CI):30.0-36.3%)。HIC和LMIC之间的合并估计值存在相当大的差异,患病率分别为37.9%(95%置信度:32.5-43.4%)和29.7%(26.4-33.0%)。研究之间的异质性在整体分析和分层分析中都很高(I2>99%)。敏感性分析显示,没有一项被审查的研究偏离了总体汇总估计。结论:全球很大一部分人口,尤其是65岁以上的人口,受到多发病的影响。为了准确估计疾病负担,并进行有效的疾病管理和资源分配,需要对多发病进行标准化操作。
Prevalence of multimorbidity in community settings: A systematic review and meta-analysis of observational studies.
Background: With ageing world populations, multimorbidity (presence of two or more chronic diseases in the same individual) becomes a major concern in public health. Although multimorbidity is associated with age, its prevalence varies. This systematic review aimed to summarise and meta-analyse the prevalence of multimorbidity in high, low- and middle-income countries (HICs and LMICs).
Methods: Studies were identified by searching electronic databases (Medline, Embase, PsycINFO, Global Health, Web of Science and Cochrane Library). The term 'multimorbidity' and its various spellings were used, alongside 'prevalence' or 'epidemiology'. Quality assessment employed the Newcastle-Ottawa scale. Overall and stratified analyses according to multimorbidity operational definitions, HICs/LMICs status, gender and age were performed. A random-effects model for meta-analysis was used.
Results: Seventy community-based studies (conducted in 18 HICs and 31 LMICs) were included in the final sample. Sample sizes ranged from 264 to 162,464. The overall pooled prevalence of multimorbidity was 33.1% (95% confidence interval (CI): 30.0-36.3%). There was a considerable difference in the pooled estimates between HICs and LMICs, with prevalence being 37.9% (95% CI: 32.5-43.4%) and 29.7% (26.4-33.0%), respectively. Heterogeneity across studies was high for both overall and stratified analyses (I2 > 99%). A sensitivity analysis showed that none of the reviewed studies skewed the overall pooled estimates.
Conclusion: A large proportion of the global population, especially those aged 65+, is affected by multimorbidity. To allow accurate estimations of disease burden, and effective disease management and resources distribution, a standardised operationalisation of multimorbidity is needed.