导航糖尿病护理不公平:一项观察性研究,将慢性护理模式的结构要素与比利时2型糖尿病护理的过程和结果联系起来。

IF 4.5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Philippe Bos, Katrien Danhieux, Edwin Wouters, Josefien van Olmen, Veerle Buffel
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引用次数: 0

摘要

背景:尽管慢性护理模式(CCM)为提供高质量的2型糖尿病(T2D)护理提供了实践组织的基本结构组成部分,但人们对其最重要的要素以及它在多大程度上可能减少T2D护理质量方面的社会不平等知之甚少。本研究旨在评估CCM结构要素的实施与法兰德斯(比利时)T2D护理过程和结果质量之间的关系,并特别关注患者社会经济脆弱性的差异。方法:我们开发了一个纵向数据库,结合了初级保健实践CCM实施的信息,以及个人层面的健康保险和医学实验室数据。我们的样本包括来自佛兰德斯58个初级保健诊所的7593名40岁及以上的T2D患者,随访时间为2017年至2019年。医学实验室数据可用于4,549名患者的子样本。通过估计一系列层次混合效应模型,我们评估了初级保健实践的CCM实施与T2D护理的两个过程和两个结果指标之间的关系。此外,我们还探讨了与患者社会经济脆弱性的跨层面相互作用。结果:在总体CCM实施程度较高的实践中,患者更有可能每年检测两次HbA1c和每年检测一次LDL胆固醇。关于不同的CCM因素,临床信息系统和与社区的联系与最新HbA1c检测的较高几率显著相关,而较强的社区联系是与每年LDL胆固醇检测显著相关的唯一维度。虽然社会经济脆弱的患者不太可能每年进行两次HbA1c检测,但这种差异在得分最高的实践中消失了。关于结局指标,HbA1c和LDL胆固醇水平的变化仅占可忽略不计的比例,这是由于实践之间的系统性差异,因此没有发现与CCM元素的临床相关关系。结论:我们的开创性研究结果支持社会资本途径,因为CCM的实施与T2D护理过程中医疗不平等差距的减少有关。这表明,促进CCM的实施可能会改善医疗公平,特别是在社会经济差异显著或贫困人口高度集中的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Navigating diabetes care inequities: an observational study linking chronic care model's structural elements to process and outcomes of type 2 diabetes care in Belgium.

Background: Although the Chronic Care Model (CCM) provides the essential structural components of practice organisation to deliver high-quality type 2 diabetes (T2D) care, little is known about which of its elements are most important, and the extent to which it may reduce social inequities in the quality of T2D care. This study aims to assess the association between the implementation of CCM's structural elements and the quality of T2D care processes and outcomes in Flanders (Belgium), paying specific attention to differences by patients' socioeconomic vulnerability.

Methods: We developed a longitudinal database combining information on primary care practices' CCM implementation, with individual-level health insurance and medical lab data. Our sample included 7,593 T2D patients aged 40 years and above from 58 primary care practices in Flanders, followed up from 2017 to 2019. Medical lab data were available for a subsample of 4,549 patients. By estimating a series of hierarchical mixed-effects models, we assessed the association between primary care practices' CCM implementation and two process and two outcome indicators of T2D care. In addition, we explored cross-level interactions with patients' socioeconomic vulnerability.

Results: Patients were more likely to have their HbA1c tested twice a year and LDL cholesterol tested yearly in practices with a higher overall CCM implementation. Regarding the different CCM elements, the clinical information system and linkages to the community were significantly associated with higher odds of being up-to-date with HbA1c testing, whereas stronger community linkages was the only dimension significantly associated with yearly LDL cholesterol testing. While socioeconomic vulnerable patients were less likely to have their HbA1c tested twice yearly, this difference disappeared in the highest-scoring practices. Regarding the outcome indicators, only a negligible proportion of variation in HbA1c and LDL cholesterol levels was due to systematic differences between practices, and hence, no clinically relevant associations with the CCM elements were found.

Conclusion: Our pioneering findings support the social capital pathway, as CCM implementation is associated with a reduction in the healthcare inequity gap in the T2D care process. This suggests that promoting CCM implementation may improve healthcare equity, particularly in regions with significant socioeconomic disparities or high concentrations of deprived individuals.

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来源期刊
CiteScore
7.80
自引率
4.20%
发文量
162
审稿时长
28 weeks
期刊介绍: International Journal for Equity in Health is an Open Access, peer-reviewed, online journal presenting evidence relevant to the search for, and attainment of, equity in health across and within countries. International Journal for Equity in Health aims to improve the understanding of issues that influence the health of populations. This includes the discussion of political, policy-related, economic, social and health services-related influences, particularly with regard to systematic differences in distributions of one or more aspects of health in population groups defined demographically, geographically, or socially.
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