痴呆干预措施的成本效益分析:范围审查。

IF 4.3 3区 医学 Q1 GERIATRICS & GERONTOLOGY
Innovation in Aging Pub Date : 2025-08-08 eCollection Date: 2025-08-01 DOI:10.1093/geroni/igaf084
Tracy Comans, Tiet-Hanh Dao-Tran, Namal Balasooriya, Digby Simpson, Lee-Fay Low, Annica Barcenilla-Wong, Paola Vasquez, Junru Zhou, Kim-Huong Nguyen
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引用次数: 0

摘要

背景和目的:最近,成本效益分析越来越多地用于评估痴呆干预措施的价值。本研究旨在综合用于痴呆干预的成本效益分析(CBA)的方法。研究设计和方法:我们对2010年1月至2023年12月发表的同行评审的原创文章进行了全面系统的检索,并纳入了以下研究:(1)对痴呆症的干预措施进行了CBA,(2)描述了成本或收益项目,(3)对成本或收益进行了定量数据分析。审查遵循PRISMA扩展范围审查清单来编写报告。结果:在检索到的3415篇文章中,有15篇被纳入综述。数据分析包括传统的CBA方法及其与社会投资回报率方法的整合。成本和收益项目的集合可能因干预而异。员工培训、干预用品、建筑租赁和运输是常见的成本项目。质量调整生命年(QALY)、全科医生就诊和急诊室就诊是常见的福利项目。成本数据通常来自研究预算/假设。福利数据通常来自社会价值银行和文献。成本评估采用了市场定价和影子定价。统计寿命值常用于效益评价。讨论与启示:本综述综合了痴呆干预措施CBA中使用的数据分析方法、成本和收益项目列表、数据来源和评估方法。研究结果为今后考虑痴呆和类似干预措施或条件的CBA方法提供了有用的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cost-benefit analysis of interventions for dementia: a scoping review.

Cost-benefit analysis of interventions for dementia: a scoping review.

Background and objectives: Recently, cost-benefit analysis has been increasingly used to evaluate the value of interventions for dementia. This study aims to synthesize the methodology used in cost-benefit analysis (CBA) for dementia interventions.

Research design and methods: We conducted a scoping review with comprehensive systematic searches for original peer-reviewed articles published from January 2010 to December 2023, and included the studies if they (1) performed a CBA of interventions for dementia, (2) described either cost or benefit items, and (3) performed quantitative data analysis on either costs or benefits. The review adhered to the PRISMA Extension for Scoping Reviews Checklist to write the report.

Results: Of the 3415 articles found from the search, 15 were included in the review. Data analysis included the traditional CBA approach and its integration with the social return on investment approach. The set of cost and benefit items may vary depending on the intervention. Staff training, intervention supplies, building hire, and transportation were common cost items. Quality-adjusted life years (QALY), general practitioner visits, and emergency room visits were common benefit items. Cost data were often sourced from the study budget/assumptions. Benefit data were often sourced from the social value banks and literature. Market and shadow pricing were used for cost valuation. The value of statistical life was frequently used for benefit valuation.

Discussion and implications: This review synthesized data analysis methods, lists of cost and benefit items, data sources, and valuation methods used in the CBA of interventions for dementia. The findings provide helpful information for considering methodology in future CBA of interventions for dementia and similar interventions or conditions.

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来源期刊
Innovation in Aging
Innovation in Aging GERIATRICS & GERONTOLOGY-
CiteScore
4.10
自引率
0.00%
发文量
72
审稿时长
15 weeks
期刊介绍: Innovation in Aging, an interdisciplinary Open Access journal of the Gerontological Society of America (GSA), is dedicated to publishing innovative, conceptually robust, and methodologically rigorous research focused on aging and the life course. The journal aims to present studies with the potential to significantly enhance the health, functionality, and overall well-being of older adults by translating scientific insights into practical applications. Research published in the journal spans a variety of settings, including community, clinical, and laboratory contexts, with a clear emphasis on issues that are directly pertinent to aging and the dynamics of life over time. The content of the journal mirrors the diverse research interests of GSA members and encompasses a range of study types. These include the validation of new conceptual or theoretical models, assessments of factors impacting the health and well-being of older adults, evaluations of interventions and policies, the implementation of groundbreaking research methodologies, interdisciplinary research that adapts concepts and methods from other fields to aging studies, and the use of modeling and simulations to understand factors and processes influencing aging outcomes. The journal welcomes contributions from scholars across various disciplines, such as technology, engineering, architecture, economics, business, law, political science, public policy, education, public health, social and psychological sciences, biomedical and health sciences, and the humanities and arts, reflecting a holistic approach to advancing knowledge in gerontology.
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