Literature DB >> 23725494

Counting disability: global and national estimation.

Nenad Kostanjsek1, Anne Good, Rosamond H Madden, T Bedirhan Üstün, Somnath Chatterji, Colin D Mathers, Alana Officer.   

Abstract

PURPOSE: How many people with disabilities are in the world? How is disability defined? How can we measure disability in an accurate and comparable way? These are some of the key questions which the recently published World Bank/WHO World Report on Disability (WRD) addresses.
METHOD: Multiple data sources and methods were used by WHO and the World Bank to estimate a global figure, with the ICF as the underlying data standard. Key international data sources were the World Health Survey of 2002-2004 and the 2004 updates from the Global Burden of Disease study. The World Report on Disability also includes a compilation of country-reported prevalence from census and surveys. This paper presents and discusses key findings of the Irish National Disability Survey (2006) to illustrate the value of the ICF framework for disability statistics and most especially the environmental factors component.
RESULTS: The World Report estimates that globally one billion people or 15% of the world's population experience disabilities. Between 110-190 million people (2% of the world's population) experience severe or extreme difficulties in functioning. Definitions and measures of disability vary widely across countries. The Irish Disability Survey shows the substantial impact of environmental factors on people's functioning. For example, attitudes, and the presence or absence of facilitating equipment, support services, flexible working arrangements and transport significantly affect participation of people with disabilities in Irish society.
CONCLUSIONS: To improve the quality of disability information, the World Report recommends the use of a common definition and concepts of disability based on WHO's International Classification of Functioning Disability and Health (ICF). Furthermore, disability measurement needs to apply a multidimensional approach, in particular, measuring disability in terms of the level of difficulty a person is experiencing in multiple areas of life, rather than head counting severe impairment types in a dichotomous way. Environmental factors have significant effects on individual functioning and should be considered as an integral part in disability measurement.

Entities:  

Mesh:

Year:  2013        PMID: 23725494     DOI: 10.3109/09638288.2012.720354

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  10 in total

1.  Which environmental factors are associated with lived health when controlling for biological health? - a multilevel analysis.

Authors:  Cristina Bostan; Cornelia Oberhauser; Gerold Stucki; Jerome Bickenbach; Alarcos Cieza
Journal:  BMC Public Health       Date:  2015-05-27       Impact factor: 3.295

2.  Measuring disability and its predicting factors in a large database in Taiwan using the World Health Organization Disability Assessment Schedule 2.0.

Authors:  Wen-Chou Chi; Kwang-Hwa Chang; Reuben Escorpizo; Chia-Feng Yen; Hua-Fang Liao; Feng-Hang Chang; Hung-Yi Chiou; Sue-Wen Teng; Wen-Ta Chiu; Tsan-Hon Liou
Journal:  Int J Environ Res Public Health       Date:  2014-11-25       Impact factor: 3.390

3.  The National and Regional Prevalence Rates of Disability, Type, of Disability and Severity in Saudi Arabia-Analysis of 2016 Demographic Survey Data.

Authors:  Saad M Bindawas; Vishal Vennu
Journal:  Int J Environ Res Public Health       Date:  2018-02-28       Impact factor: 3.390

4.  Disability prevalence-context matters: A descriptive community-based survey.

Authors:  Soraya Maart; Seyi Amosun; Jennifer Jelsma
Journal:  Afr J Disabil       Date:  2019-08-14

5.  Lessons from Disability Counting in Ecuador, with a Contribution from Primary Health Care.

Authors:  Debrouwere Inge; Álvarez Vera Pedro Celestino; Pavón Benítez Ximena Del Carmen; Rosero Arboleda Celia Katherine; Prinzie Peter; Lebeer Jo
Journal:  Int J Environ Res Public Health       Date:  2021-05-12       Impact factor: 3.390

6.  Investigation of the home-reablement program on rehabilitation outcomes for people with stroke: A pilot study.

Authors:  En-Chi Chiu; Fang-Chi Chi; Pei-Tsen Chen
Journal:  Medicine (Baltimore)       Date:  2021-07-02       Impact factor: 1.817

7.  India's disability estimates: Limitations and way forward.

Authors:  Rakhi Dandona; Anamika Pandey; Sibin George; G Anil Kumar; Lalit Dandona
Journal:  PLoS One       Date:  2019-09-06       Impact factor: 3.240

8.  Prevalence and factors associated with utilization of rehabilitation services among people with physical disabilities in Kampala, Uganda. A descriptive cross sectional study.

Authors:  Swaibu Zziwa; Harriet Babikako; Doris Kwesiga; Olive Kobusingye; Jacob A Bentley; Frederick Oporia; Rebecca Nuwematsiko; Abdulgafoor Bachani; Lynn M Atuyambe; Nino Paichadze
Journal:  BMC Public Health       Date:  2019-12-27       Impact factor: 3.295

9.  Prediction of Prolonged Length of Stay for Stroke Patients on Admission for Inpatient Rehabilitation Based on the International Classification of Functioning, Disability, and Health (ICF) Generic Set: A Study from 50 Centers in China.

Authors:  Xia Zhang; Huaide Qiu; Shouguo Liu; Jianan Li; Mouwang Zhou
Journal:  Med Sci Monit       Date:  2020-01-05

10.  Surviving and Thriving: Early Intervention for Neonatal Survivors With Developmental Disability in Uganda.

Authors:  Cally J Tann; Maya Kohli-Lynch; Ruth Nalugya; Samantha Sadoo; Karen Martin; Rachel Lassman; Carol Nanyunja; Margaret Musoke; Margaret Sewagaba; Margaret Nampijja; Janet Seeley; Emily L Webb
Journal:  Infants Young Child       Date:  2020-11-20
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.