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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.
Sabariego, Carla; Kamenov, Kaloyan; Barrett, Darryl; Cieza, Alarcos; Bickenbach, Jerome; Pacheco Barzallo, Diana.
Afiliação
  • Sabariego C; Faculty of Health Sciences and Medicine, University of Lucerne, Lucerne, Switzerland.
  • Kamenov K; Swiss Paraplegic Research, Nottwil, Switzerland.
  • Barrett D; Center for Rehabilitation in Global Health Systems, WHO Collaborating Center, University of Lucerne, Lucerne, Switzerland.
  • Cieza A; Sensory Functions, Disability and Rehabilitation Unit, Department for Noncommunicable Diseases, World Health Organization, Geneva, Switzerland.
  • Bickenbach J; Sensory Functions, Disability and Rehabilitation Unit, Department for Noncommunicable Diseases, World Health Organization, Geneva, Switzerland.
  • Pacheco Barzallo D; Sensory Functions, Disability and Rehabilitation Unit, Department for Noncommunicable Diseases, World Health Organization, Geneva, Switzerland.
Disabil Rehabil ; : 1-13, 2024 Jul 05.
Article em En | MEDLINE | ID: mdl-38967068
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.
The disability gradient observed across all countries and indicators included in this study showed that the higher the level of disability (mild, moderate, or severe), the lower the probability of having a positive outcome in any sustainable development goal.An underestimation of inequalities is observed when people with no, mild and moderate disability are combined into a group called "no severe disability" and used as the comparator to people with "severe disability."Rehabilitation policy and planning must consider the disability gradient and respond to the different needs of persons with mild, moderate, and severe disability.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Disabil Rehabil Assunto da revista: REABILITACAO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Disabil Rehabil Assunto da revista: REABILITACAO Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Reino Unido