绘制医疗保健需求:人口分层工具的系统回顾。

IF 4.4 Q1 Medicine
Giovanni Genovese, Caterina Elisabetta Rizzo, Antonio Nirta, Linda Bartucciotto, Roberto Venuto, Francesco Fedele, Raffaele Squeri, Cristina Genovese
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引用次数: 0

摘要

背景和目的:2021年,意大利的医疗保健支出占全国国内生产总值的7.3%,其中约80%用于慢性病的管理,这是与人口老龄化相关的日益加重的负担。人口分层工具已成为有效分配医疗资源的关键工具,特别是对于高需求、高成本的个人。本系统综述旨在根据现有人口分层工具的特点、验证状态和实际应用,对其进行识别、分类和评估。方法:根据PRISMA 2020指南进行系统文献综述,检验基于医疗保健需求的成人人口分层模型。审查包括从主要科学数据库中检索的研究,并包括国家和国际实施情况。结果:最初的搜索产生了140,111条记录,从中确定了17种不同的分层工具。其中,有9项通过了同行评议研究的验证。在意大利的情况下,只有六个工具在积极使用,其中三个是作为区域特定算法开发的,而其余三个使用国际建立的软件平台。结论: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,从而促进了综合护理路径的设计和循证政策的制定。在主动和个性化医疗保健服务的背景下,这些工具在提高系统效率、为战略规划提供信息和促进公平获得医疗服务方面发挥着关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

Background and Aim: 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. Methods: 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. Results: 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. Conclusions: 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.

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