胰腺手术的数量-成本关系:范围综述

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES
Nashmil Ghadimi , Alireza Olyaeemanesh , Ali Akbar Fazaeli , Rajabali Daroudi , Sara Kaveh
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引用次数: 0

摘要

目的综合胰腺手术中数量-成本关系(VCR)的证据,重点研究医院和外科医生数量对经济指标的影响。方法使用PubMed、Web of Science和Scopus进行范围审查,以确定从成立到2024年11月30日发表的研究,以确保对所有相关研究进行全面和公正的审查。PRISMA-ScR框架指导数据提取,重点关注与成本、住院时间(LOS)、资源利用和再入院相关的医院和外科医生数量。度量标准包括成本定义、容量阈值和经济指标。研究分析了胰腺手术中心化的经济影响。结果纳入主要来自美国的22项研究(1996-2024)。胰十二指肠切除术是研究最多的手术。与小容量医院(LVHs)相比,大容量医院(HVHs)一贯表现出更低的成本、更短的LOS、更低的资源利用率和更高的出院回家率。成本的降低归功于效率的提高和并发症的减少。然而,在容量阈值方面存在显著的可变性,成本效益分析(cea)的使用有限。很少有研究涉及更广泛的社会成本,如生产力损失或照顾者负担。结论集中式胰腺手术在HVHs中通过提高效率和预后具有明显的经济效益。解决标准化数量定义中的差距、纳入社会经济因素和扩大cea对于优化资源分配和确保公平和具有成本效益的护理至关重要。未来的研究应侧重于这些领域,以便为更好的卫生政策提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Volume-cost relationship in Pancreatic Surgery: A scoping review

Objectives

To synthesize evidence on the volume-cost relationship (VCR) in pancreatic surgery, focusing on the impact of hospital and surgeon volumes on economic indicators.

Methods

A scoping review was conducted using PubMed, Web of Science, and Scopus to identify studies published from inception to November 30, 2024, to ensure a comprehensive and unbiased review of all relevant studies. The PRISMA-ScR framework guided data extraction, focusing on hospital and surgeon volumes in relation to costs, length of stay (LOS), resource utilization, and readmissions. The metrics included cost definitions, volume thresholds, and economic indicators. Studies that analyzed the economic impact of centralization in pancreatic surgery were included.

Results

Twenty-two studies (1996–2024), primarily from the United States, were included. Pancreaticoduodenectomy was the most studied procedure. High-volume Hospitals (HVHs) consistently demonstrated reduced costs, shorter LOS, lower resource utilization, and higher discharge-to-home rates compared to low-volume hospitals (LVHs). Cost reductions were attributed to enhanced efficiency and fewer complications. However, there was significant variability in volume thresholds and limited use of cost-effectiveness analyses (CEAs). Few studies addressed broader societal costs, such as productivity losses or caregiver burden.

Conclusions

Centralizing pancreatic surgeries in HVHs offers clear economic impact through improved efficiency and outcomes. Addressing gaps in standardized volume definitions, incorporating socioeconomic factors, and expanding CEAs are critical for optimizing resource allocation and ensuring equitable and cost-effective care. Future research should focus on these areas to inform better health policies.
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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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