Metrological performances of the global chronic morbidity indicator of the Minimum European Health Module and implications for chronic disease prevalence and socioeconomic gradient estimations.

IF 3.7 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH European Journal of Public Health Pub Date : 2024-08-01 DOI:10.1093/eurpub/ckae064
Joël Coste, Jean-Marie Robine, Herman Van Oyen, Laure Carcaillon-Bentata
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Abstract

Background: Although the global chronic morbidity indicator (GCMI) of the Minimum European Health Module (MEHM) was not specifically designed to monitor chronic disease in the population, it is increasingly used for this purpose in Europe and elsewhere. However, its metrological characteristics have seldom been examined, with various sensitivity issues being raised. The present study investigated the metrological performances of the GCMI and analyzed its implications in terms of prevalence and demographic and socioeconomic gradients of chronic conditions in the population.

Methods: We used data from two large French nationwide representative surveys with cross-sectional and longitudinal data conducted between 2010 and 2021. The surveys used MEHM and collected data on numerous chronic conditions and socioeconomic indicators. Criterion and predictive validity of the GCMI regarding chronic conditions and the resultant socioeconomic gradients were compared with indicators based on reports of individual chronic conditions.

Results: GCMI sensitivity to capture chronic conditions varied from <20 to 80% depending on the chronic condition. Number of chronic conditions, gender, age and education were also associated with GCMI endorsement. However, the GCMI was predictive of mortality and activity limitations independently of individual conditions.

Conclusion: The varying lack of sensitivity depending on the chronic condition and the respondent's sociodemographic status may bias estimates of demographic and socioeconomic gradients compared with indicators based on reports of individual chronic conditions. Differences between GCMI and list-based approaches should be more cautiously considered when monitoring chronic conditions in the population. These approaches should be viewed as complementary rather than contradictory or interchangeable.

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欧洲最低健康标准模块全球慢性病发病率指标的计量性能及其对慢性病发病率和社会经济梯度估算的影响。
背景:尽管欧洲最低健康标准模块(MEHM)中的全球慢性病发病率指标(GCMI)并非专门为监测人口中的慢性病而设计,但在欧洲和其他地区,该指标正越来越多地被用于此目的。然而,人们很少对其计量特性进行研究,并提出了各种敏感性问题。本研究调查了 GCMI 的计量性能,并分析了其对慢性病在人群中的流行程度以及人口和社会经济梯度的影响:我们使用了 2010 年至 2021 年期间进行的两项大型法国全国代表性调查的数据,包括横截面和纵向数据。这些调查使用了 MEHM,收集了许多慢性疾病和社会经济指标的数据。我们将 GCMI 在慢性病方面的标准有效性和预测有效性以及由此产生的社会经济梯度与基于个人慢性病报告的指标进行了比较:结果:GCMI 对慢性病的敏感度因人而异:与基于个人慢性病报告的指标相比,慢性病和受访者的社会人口状况不同,灵敏度也不同,这可能会对人口和社会经济梯度的估计产生偏差。在监测人口慢性病时,应更谨慎地考虑 GCMI 和基于清单的方法之间的差异。这些方法应被视为互补的,而不是相互矛盾或可以互换的。
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来源期刊
European Journal of Public Health
European Journal of Public Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
5.60
自引率
2.30%
发文量
2039
审稿时长
3-8 weeks
期刊介绍: The European Journal of Public Health (EJPH) is a multidisciplinary journal aimed at attracting contributions from epidemiology, health services research, health economics, social sciences, management sciences, ethics and law, environmental health sciences, and other disciplines of relevance to public health. The journal provides a forum for discussion and debate of current international public health issues, with a focus on the European Region. Bi-monthly issues contain peer-reviewed original articles, editorials, commentaries, book reviews, news, letters to the editor, announcements of events, and various other features.
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