Literature DB >> 34099049

Identifying key environmental barriers experienced by persons with mild, moderate, or severe disability in Bankim Health District, Cameroon: a policy-targeted secondary analysis of data obtained with the World Bank and WHO model disability survey.

Lindsay Lee1, Ferdinand Mou2, Alphonse Um Boock2, Carolina Fellinghauer3, Mirjam Kohls1,4,5, Alarcos Cieza1, Carla Sabariego6,7,8.   

Abstract

BACKGROUND: Comprehensive data is key for evidence-informed policy aiming to improve the lives of persons experiencing different levels of disability. The objective of this paper was to identify the environmental barriers - including physical, social, attitudinal, and political barriers - that might become priorities for cross-cutting policies and policies tailored to the needs of persons experiencing severe disability in Cameroon.
METHODS: A secondary analysis of data obtained with the WHO Model Disability Survey was completed in the Bankim Health District (N = 559) using random forest regression to determine and compare the impact of the environmental factors on the experience of disability.
RESULTS: The physical environment had by far the highest influence on disability, with transportation, toilet of the dwelling, and the dwelling itself being the most important factors. Factors inside one's own home (toilet of the dwelling, and the dwelling itself) were the most important for persons with moderate and severe disability, followed by attitudes of others and issues with accessing health care.
CONCLUSION: Our study provides country policy makers with evidence for setting priorities and for the development of evidence-informed policies for the Bankim Health District in Cameroon.

Entities:  

Keywords:  Cameroon; Disability; Functioning; Health policies; Public health; Random Forest; Statistical analysis

Year:  2021        PMID: 34099049     DOI: 10.1186/s13690-021-00619-y

Source DB:  PubMed          Journal:  Arch Public Health        ISSN: 0778-7367


  4 in total

1.  What makes the difference in people's lives when they have a mental disorder?

Authors:  Kaloyan Kamenov; María Cabello; Carolina Saskia Ballert; Alarcos Cieza; Somnath Chatterji; Diego Rojas; Gloria Cerón; Jerome Bickenbach; José Luis Ayuso-Mateos; Carla Sabariego
Journal:  Int J Public Health       Date:  2017-11-25       Impact factor: 3.380

2.  Bias in random forest variable importance measures: illustrations, sources and a solution.

Authors:  Carolin Strobl; Anne-Laure Boulesteix; Achim Zeileis; Torsten Hothorn
Journal:  BMC Bioinformatics       Date:  2007-01-25       Impact factor: 3.169

3.  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

4.  Rethinking Disability.

Authors:  Alarcos Cieza; Carla Sabariego; Jerome Bickenbach; Somnath Chatterji
Journal:  BMC Med       Date:  2018-01-26       Impact factor: 8.775

  4 in total
  2 in total

1.  Demographic and environmental factors associated with disability in India, Laos, and Tajikistan: a population-based cross-sectional study.

Authors:  Michael Zhu Chen; Lindsay Lee; Carolina Fellinghauer; Alarcos Cieza; Somnath Chatterji
Journal:  BMC Public Health       Date:  2022-03-29       Impact factor: 3.295

2.  Association of social factors and health conditions with capacity and performance.

Authors:  Marina Carvalho Arruda Barreto; Ricardo Cartes-Velásquez; Valeria Campos; Larissa Fortunato Araújo; Shamyr Sulyvan de Castro
Journal:  Rev Saude Publica       Date:  2022-06-24       Impact factor: 2.772

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.