The parameter variation of one-way sensitivity analysis in economic evaluation: Global systematic review

Pingping Li, Xiangyu Liu, Chen Jiang, Zeying Yang, Yihe Tian, Min Zhao, Hualing Yan, Hongchao Li
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Abstract

Objective: One-way sensitivity analysis (OSA) plays a crucial role in economic evaluations (EEs), yet knowledge about parameter range and research practices is limited. Understanding these patterns is essential for reliable healthcare decision-making. This study aims to describe OSA patterns in EEs, providing insights into parameter ranges and good research practices. Methods: Systematic searches on PubMed, MEDLINE, Embase, and ScienceDirect were conducted for model-based EEs published in English (2021-2023). Neoplasm-related articles were prioritized due to their abundance. Screening, data extraction, and quality assessment were performed by two independent reviewers. Study characteristics, OSA methods, and OSA result diagrams were collected. Study quality was assessed using the Criteria for Health Economic Quality Evaluation (CHEQUE) tool. Results: Among 7,885 records, 362 articles were extracted. Economic parameters such as price per unit, packaging cost, and number of healthcare utilization were commonly varied in OSA (94%). Efficacy parameters (84%), utility parameters (79%), and safety parameters related to adverse event and complication (54%) were also frequently varied. Only 67% of the articles described parameter variation methods, 73% listed parameter change ranges, and only 34% explicitly stated the rationale behind parameter variations. A taxonomy of OSA range types was developed, including practices such as literature review, confidence intervals, practical context, clinical opinion, extreme values, percentage/distance variations, guideline provisions, author assumptions, unknown ranges/types, uncertain variations, and others. Good practices for OSA were recommended. Tornado diagrams were the most common OSA result plots (88%), accompanied by table, curve, and line chart. Method quality scored 13 out of 18 points, while reporting quality scored 12 out of 17 points. Conclusion: This systematic review revealed unsatisfactory quality in the methods and reporting of OSA in neoplasm EEs. Recommendations are provided for parameter variation methods, ranges, references, and chart presentation for future OSA studies. Key words: parameter variation, one-way sensitivity, systematic review, economic evaluation
经济评估中单向敏感性分析的参数变化:全球系统综述
目的:单向敏感性分析(OSA)在经济评价(EE)中发挥着至关重要的作用,但有关参数范围和研究实践的知识却很有限。了解这些模式对于可靠的医疗决策至关重要。本研究旨在描述 EE 中的 OSA 模式,提供有关参数范围和良好研究实践的见解。研究方法在 PubMed、MEDLINE、Embase 和 ScienceDirect 上对 2021-2023 年发表的基于模型的英文 EE 进行系统检索。与肿瘤相关的文章因其数量多而被优先考虑。筛选、数据提取和质量评估由两名独立审稿人完成。收集了研究特征、OSA方法和OSA结果图。研究质量采用卫生经济质量评估标准(CHEQUE)工具进行评估。研究结果在 7,885 条记录中,提取了 362 篇文章。在 OSA 中,单位价格、包装成本和使用医疗服务的次数等经济参数是常见的变量(94%)。疗效参数(84%)、效用参数(79%)以及与不良事件和并发症相关的安全性参数(54%)也经常发生变化。只有 67% 的文章描述了参数变化方法,73% 的文章列出了参数变化范围,只有 34% 的文章明确说明了参数变化背后的原因。我们对 OSA 范围类型进行了分类,包括文献综述、置信区间、实际背景、临床意见、极值、百分比/距离变化、指南规定、作者假设、未知范围/类型、不确定变化等做法。推荐了 OSA 的良好实践。龙卷风图是最常见的 OSA 结果图(88%),此外还有表格、曲线图和折线图。在 18 分的满分中,方法质量得了 13 分,而在 17 分的满分中,报告质量得了 12 分。结论:本系统综述显示,肿瘤 EE 中 OSA 的方法和报告质量不尽人意。为今后的 OSA 研究提供了参数变化方法、范围、参考文献和图表展示方面的建议。关键词:参数变化、单向敏感性、系统综述、经济评估
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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