Development of a Model for Quantitative Assessment of Newborn Screening in Japan Using the Analytic Hierarchy Process.

IF 4 Q1 GENETICS & HEREDITY International Journal of Neonatal Screening Pub Date : 2023-07-14 DOI:10.3390/ijns9030039
Keiko Konomura, Eri Hoshino, Kotomi Sakai, Takashi Fukuda, Go Tajima
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Abstract

Whether or not conditions should be included in publicly funded newborn screening (NBS) programs should be discussed according to objective and transparent criteria. Certain criteria have been developed for the introduction of NBS programs in the context of individual countries; however, there are no standard selection criteria for NBS programs in Japan. This study aimed to develop a quantitative scoring model to assess newborn screening that incorporates the views of a variety of stakeholders in Japan. The five recommended eligibility criteria for NBS were stratified based on previous studies and expert opinions, using the analytic hierarchy process. We conducted a cross-sectional, web-based questionnaire targeting a wide range of people involved in NBS to investigate pairwise comparisons of the evaluation items between February and April of 2022. There were 143 respondents. Most of our respondents (44.1%) were physicians. Fifty-eight respondents (40.6%) had been engaged in NBS-related research or work for more than 10 years. The distribution of allocation points was the highest for 'intervention', 'screening test', 'follow-up setting', 'economic evaluation', and 'disease/condition', in that order. The algorithm in this study will guide decision makers in collecting and evaluating objective data, thus enabling transparent discussions to occur.

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利用层次分析法建立日本新生儿筛查定量评估模型。
是否应将条件纳入公共资助的新生儿筛查(NBS)计划应根据客观和透明的标准进行讨论。在各个国家的背景下,已经制定了一些标准来引入国家统计局计划;然而,在日本,国家统计局的项目没有标准的选择标准。本研究旨在开发一种量化评分模型,以评估新生儿筛查,该模型结合了日本各种利益相关者的观点。根据已有研究和专家意见,采用层次分析法对国家统计局推荐的5个合格标准进行分层。我们进行了一项基于网络的横断面调查问卷,调查了2022年2月至4月期间国家统计局参与人员的两两比较评估项目。共有143名受访者。我们的大多数受访者(44.1%)是医生。58人(40.6%)从事国家统计局相关研究或工作10年以上。按此顺序,“干预”、“筛选试验”、“随访设置”、“经济评估”和“疾病/状况”的分配点分布最高。本研究中的算法将指导决策者收集和评估客观数据,从而实现透明的讨论。
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来源期刊
International Journal of Neonatal Screening
International Journal of Neonatal Screening Medicine-Pediatrics, Perinatology and Child Health
CiteScore
6.70
自引率
20.00%
发文量
56
审稿时长
11 weeks
期刊最新文献
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