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

Author:

Konomura Keiko1ORCID,Hoshino Eri2,Sakai Kotomi3ORCID,Fukuda Takashi1,Tajima Go4

Affiliation:

1. Center for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, Wako-shi 351-0197, Japan

2. Division of Policy Evaluation, Department of Health Policy, Research Institute, National Center for Child Health and Development, Tokyo 157-8535, Japan

3. Comprehensive Unit for Health Economic Evidence Review and Decision Support (CHEERS), Research Organization of Science and Technology, Ritsumeikan University, Kyoto 600-8815, Japan

4. Division of Neonatal Screening, Research Institute, National Center for Child Health and Development, Tokyo 157-8535, Japan

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.

Funder

Japan Agency for Medical Research and Development

Publisher

MDPI AG

Subject

Obstetrics and Gynecology,Immunology and Microbiology (miscellaneous),Pediatrics, Perinatology and Child Health

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3