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映射医疗保健需求:对人群分层工具的系统评价

Mapping Healthcare Needs: A Systematic Review of Population Stratification Tools.

作者信息

Genovese Giovanni, Rizzo Caterina Elisabetta, Nirta Antonio, Bartucciotto Linda, Venuto Roberto, Fedele Francesco, Squeri Raffaele, Genovese Cristina

机构信息

Department of Biomedical Sciences and Morphological and Functional Images (BIOMORF), University of Messina, Via Consolare Valeria, 1, 98124 Messina, Italy.

Department of Prevention, Provincial Health Agency of Messina, 98123 Messina, Italy.

出版信息

Med Sci (Basel). 2025 Aug 19;13(3):145. doi: 10.3390/medsci13030145.

Abstract

: In 2021, healthcare expenditure in Italy represented 7.3% of the national gross domestic product, with approximately 80% attributed to the management of chronic diseases-an increasing burden associated with population aging. Population stratification tools have emerged as critical instruments for the efficient allocation of healthcare resources, particularly for high-need, high-cost individuals. This systematic review aimed to identify, classify, and evaluate existing population stratification tools based on their characteristics, validation status, and practical applications. : A systematic literature review was conducted in accordance with the PRISMA 2020 guidelines to examine adult population stratification models grounded in healthcare needs. The review encompassed studies retrieved from major scientific databases and included both national and international implementations. : The initial search yielded 140,111 records, from which 17 distinct stratification tools were identified. Of these, nine had undergone validation through peer-reviewed studies. Within the Italian context, only six tools were in active use-three of which were developed as region-specific algorithms, while the remaining three employed internationally established software platforms. : Population stratification tools provide a robust framework for assessing both clinical complexity and resource utilization, thereby facilitating the design of integrated care pathways and evidence-based policy decisions. In the context of proactive and personalized healthcare delivery, such tools play a pivotal role in enhancing system efficiency, informing strategic planning, and promoting equitable access to care.

摘要

2021年,意大利的医疗保健支出占国内生产总值的7.3%,其中约80%用于慢性病管理,这是与人口老龄化相关的日益沉重的负担。人口分层工具已成为有效分配医疗资源的关键手段,特别是对于高需求、高成本的个体。本系统评价旨在根据现有分层工具的特征、验证状态和实际应用对其进行识别、分类和评估。

根据PRISMA 2020指南进行了系统的文献综述,以研究基于医疗需求的成年人口分层模型。该综述涵盖了从主要科学数据库中检索到的研究,并包括国内和国际的实施情况。

初步检索产生了140,111条记录,从中识别出17种不同的分层工具。其中,9种工具已通过同行评审研究进行了验证。在意大利的背景下,只有6种工具在实际使用中,其中3种是作为特定地区的算法开发的,其余3种使用的是国际公认的软件平台。

人口分层工具为评估临床复杂性和资源利用提供了一个强大的框架,从而有助于设计综合护理路径和基于证据的政策决策。在积极主动和个性化的医疗服务背景下,此类工具在提高系统效率、为战略规划提供信息以及促进公平获得医疗服务方面发挥着关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/243f/12372013/47fe823bc7e5/medsci-13-00145-g001.jpg

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