The Importance of Uncertainty in Health Scenarios: A Scoping Review on COVID-19 Scenarios

Q2 Medicine
Mostafa Hosseini Golkar, Mohammad Mahdi Mowlaei, Anahita Behzadi, Mohsen Keshavarz-turk, Atefeh Zolfagharnasab, Morteza Hosseini Golkar
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Abstract

Background: Scenarios are the most efficient methods to explore our uncertainty about the future. Even with increasing utilization, the majority of scenarios still fall short of meeting the future “uncertainties” in health. This article examines one of the most sensitive encounters of the health system with uncertainties—COVID-19 pandemic—and the type of uncertainty analysis in health scenarios to discuss the importance and determine the existing gaps while providing a better mechanism for scenario planning in the health system. Methods: To examine the extent, range, and nature of scenario research, a preliminary mapping of the existing literature, summarizing research findings, and identifying research gaps, we have taken help from the Arksey and O'Malley (2005) model and to improve the quality of the results, we have also used the PRISMA framework. To identify the studies relevant to the issue, the PubMed and Embase databases were searched for peer-reviewed published articles. All peer reviewed articles from January 01, 2020, to December 31, 2020, were included in this review. The search strategy was mainly the systematic use of English keywords such as “coronavirus,” “covid-19,” “SARS-CoV-2,” “2019-ncov,” and scenario. To improve the search sensitivity, subject searching based on MeSh and Emtree keywords was used. Results: It is crucial to identify the health domains where the scenarios can be used. The major ideas that were covered and their variations would also be identified using these different scenarios. Based on the selected articles, we can answer some critical questions. First, in which health fields is the scenario method used? Second, what are the key concepts in these studies, and third, what is the difference between them? Policy, epidemiology, and economics use futures studies scenarios more than other social science disciplines in health. Furthermore, we have looked at the fact that selecting the appropriate kind, utilizing new methodologies, and emphasizing uncertainty analysis are the core difficulties associated with health case scenarios. Conclusion: Based on examining the existing indicators in the health scenarios, establishing the “uncertainty analysis” as the basis can improve scenario planning in this field. Also, if scenario planning is done as a process based on uncertainty analysis, it is more accurate and helps make better decisions in the field of health.
健康情景中不确定性的重要性:COVID-19 情景范围审查
背景:情景模拟是探索未来不确定性的最有效方法。即使使用率不断提高,大多数情景仍无法满足未来卫生领域的 "不确定性"。本文研究了卫生系统最敏感的不确定性遭遇之一--COVID-19 大流行--以及卫生情景中的不确定性分析类型,以讨论其重要性并确定现有差距,同时为卫生系统的情景规划提供更好的机制。方法:为了考察情景研究的程度、范围和性质,对现有文献进行初步梳理,总结研究成果,并确定研究差距,我们借鉴了 Arksey 和 O'Malley(2005 年)的模型,为了提高研究结果的质量,我们还使用了 PRISMA 框架。为了确定与该问题相关的研究,我们在 PubMed 和 Embase 数据库中搜索了经同行评审的已发表文章。从 2020 年 1 月 1 日到 2020 年 12 月 31 日的所有同行评议文章均被纳入本次综述。检索策略主要是系统地使用 "冠状病毒"、"covid-19"、"SARS-CoV-2"、"2019-ncov "和情景等英文关键词。为提高检索灵敏度,还使用了基于 MeSh 和 Emtree 关键词的主题检索。结果确定可使用情景的健康领域至关重要。利用这些不同的情景,还可以确定所涵盖的主要观点及其变化。根据所选文章,我们可以回答一些关键问题。首先,情景模拟法在哪些卫生领域使用?第二,这些研究的关键概念是什么;第三,它们之间有什么区别?与卫生领域的其他社会科学学科相比,政策学、流行病学和经济学更多使用未来研究情景。此外,我们还研究了选择适当种类、利用新方法和强调不确定性分析是与卫生案例情景相关的核心困难。结论在研究现有卫生情景指标的基础上,将 "不确定性分析 "作为基础可以改善该领域的情景规划。同时,如果情景规划是在不确定性分析的基础上进行的,则会更加准确,有助于在卫生领域做出更好的决策。
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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来源期刊
CiteScore
2.40
自引率
0.00%
发文量
90
审稿时长
8 weeks
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