Can we still ensure no one is left behind by 2030? Demonstrating the potential of the implementation of the WHO Functioning and Disability Disaggregation Tool (FDD11) in existing survey platforms for disaggregating SDG indicators by disability.

IF 2.1 4区 医学 Q1 REHABILITATION
Disability and Rehabilitation Pub Date : 2025-03-01 Epub Date: 2024-07-05 DOI:10.1080/09638288.2024.2367597
Carla Sabariego, Kaloyan Kamenov, Darryl Barrett, Alarcos Cieza, Jerome Bickenbach, Diana Pacheco Barzallo
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引用次数: 0

Abstract

Purpose: The world is approaching the sustainable development goals deadline, but many countries still do not produce the data required to track their indicators by disability. Integrating valid and relievable disability measurement tools into existing data platforms is key to ensuring that "no one is left behind." In this paper, we aim to demonstrate that it is possible to gather valid data on disability for disaggregation using the WHO Functioning and Disability Disaggregation Tool.

Materials and methods: Using representative data from India, Lao PDR, and Tajikistan collected through the Gallup World Poll, we estimated the likelihood of a positive sustainable development indicator by disability level. Logit regression was used, adjusted for age, sex, household size, number of children, marital status, urban or rural area, and country-fixed effects.

Results: Our estimates showed a consistent disability gradient across all countries and indicators: the higher the level of disability, the lower the probability of having a positive outcome in barely any sustainable development goal.

Conclusion: Our study demonstrates that it is not too late to generate sound and precise data about inequalities faced by persons with mild, moderate, or severe disability. This data is essential for reducing inequalities through evidence-based policymaking.

到 2030 年,我们还能确保没有人掉队吗?展示在现有调查平台中实施世界卫生组织功能和残疾分类工具(FDD11)的潜力,以便按残疾情况对可持续发展目标指标进行分类。
目的:世界即将迎来可持续发展目标的最后期限,但许多国家仍未提供按残疾状况跟踪其指标所需的数据。将有效、可依赖的残疾测量工具纳入现有数据平台,是确保 "不让一个人掉队 "的关键。在本文中,我们旨在证明利用世界卫生组织功能与残疾分类工具收集有效的残疾分类数据是可行的:利用通过盖洛普世界民意调查收集的印度、老挝人民民主共和国和塔吉克斯坦的代表性数据,我们按残疾程度估算了可持续发展指标为正的可能性。我们使用了 Logit 回归,并对年龄、性别、家庭规模、子女数量、婚姻状况、城市或农村地区以及国家固定效应进行了调整:我们的估算结果显示,在所有国家和指标中都存在一致的残疾梯度:残疾程度越高,在几乎所有可持续发展目标中取得积极成果的概率就越低:我们的研究表明,现在生成有关轻度、中度或重度残疾人所面临的不平等问题的可靠而精确的数据还为时不晚。这些数据对于通过循证决策减少不平等现象至关重要。
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
Disability and Rehabilitation
Disability and Rehabilitation 医学-康复医学
CiteScore
5.00
自引率
9.10%
发文量
415
审稿时长
3-6 weeks
期刊介绍: Disability and Rehabilitation along with Disability and Rehabilitation: Assistive Technology are international multidisciplinary journals which seek to encourage a better understanding of all aspects of disability and to promote rehabilitation science, practice and policy aspects of the rehabilitation process.
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