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

Lee, Lindsay; Mou, Ferdinand; Boock, Alphonse Um; Fellinghauer, Carolina; Kohls, Mirjam; Cieza, Alarcos; Sabariego, Carla

doi:10.1186/s13690-021-00619-y

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Collection and production of population data on disability using MDS is in line with both the CRPD and the SDGs. Its use has already been reported in the literature and should be reinforced and encouraged 8 .…”

Section: Discussionmentioning

confidence: 85%

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Association of social factors and health conditions with capacity and performance

et al. 2022

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OBJECTIVE Determine and measure the association of social factors and health conditions with worse capacity and performance levels. METHODS Dependent variables consisted of performance and capacity; independent variables comprised age, gender, level of education, personal income, and health conditions. Means (95%CI) of performance and capacity were presented according to the independent variables. Generalized linear models, using a mutual adjustment for all variables considered statistically significant (p < 0.05), measured the associations between each exposure and outcomes. Study population included 12,265 individuals. RESULTS Older women with lower education and income levels and with some health condition showed the worst performance and capacity. CONCLUSION Results showed that the capacity and performance levels of the Chilean population changed according to social demographic characteristics and health conditions.

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Section: Discussionmentioning

confidence: 85%

“…Such background highlights the suitability of MDS for collecting standardized population data on disability and in compliance with WHO recommendations. Moreover, a few countries have already used the MDS to survey population data on disability [7][8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

Association of social factors and health conditions with capacity and performance

et al. 2022

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“…Few studies have collected standardized, nationally-representative data on disability in tandem with these contextual factors at the individual level in LMICs; one study reported that accessible community spaces to socialize, transportation systems, personal assistance, and regular medication use were associated with disability in Cambodia [ 6 ]. A study in Cameroon found that a person’s dwelling, access to transportation, and other aspects of the physical environment had the highest influence on disability [ 7 ]. A greater understanding of the relevance of these factors for disability is essential to create policies that 1) reduce disparities for people with disability across demographic and environmental contexts and 2) make environments more accessible and inclusive for all.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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Background The number of people experiencing functional limitations due to health conditions (capacity) is expected to increase in low and middle-income countries as populations age and rates of non-communicable disease rise. This trend could raise the prevalence and levels of disability worldwide. Understanding the demographic and environmental factors associated with disability can inform the design of policy interventions to make societies more accessible and inclusive for all. Methods Approximately 2,500–3,000 participants in each of India, Laos, and Tajikistan responded to the Gallup World Poll and the World Health Organization’s Brief Model Disability Survey through face-to-face interviews. For each country, random forest regression was performed to explore the associations of demographic and environmental factors with disability while controlling for capacity. Using the variable importance measures generated by the random forest models, linear regression models were built in a stepwise manner for each country to predict disability level based on these contextual factors. Results Capacity was strongly associated with disability in all three countries. Most of the variance in disability was explained by minimally adjusted linear models that included only capacity, sex, and age. Inclusion of additional demographic factors and environmental factors explained slightly more of the variance in disability score. Across all three countries, the level of basic infrastructure, public services, and financial stability were moderately associated with disability. Age, sex, employment status, the use of assistive technologies, and other factors had associations with disability that were highly variable across countries. Conclusion While capacity was the main determinant of disability, individual demographic and environmental factors were associated with disability in a country-specific manner while controlling for the effects of capacity.

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Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey

et al. 2021

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Background The Model Disability Survey (MDS) is the current standard recommended by WHO to collect functioning and disability data. Answering calls from countries requesting a version to be implemented as a module that could be integrated into existing surveys and be used for monitoring disability trends and for data disaggregation, WHO developed the brief MDS. The objectives of this paper are to evaluate the metric properties of the disability metrics generated with the Brief MDS and the precision of the Brief MDS in comparison with the full MDS. Results The partial credit model, a unidimensional model for polytomous data from the Rasch family, was applied to evaluate psychometric properties using data from national MDS implementations in Chile (N = 12,265) and in Sri Lanka (N = 3000). The Brief MDS generates valid metrics for measuring disability, from the perspectives of capacity and performance, thereby achieving good levels of measurement precision in comparison with its full counterpart. Conclusion Given the scarcity of valid functioning and disability modules for household surveys, the Brief MDS represents a milestone in disability measurement. The Brief MDS is currently used by countries to monitor disability trends over time, which is especially important to evaluate the impact of health policies and public health interventions, to disaggregate indicators of the Sustainable Development Goals, and to monitor the implementation of the UN Convention on the Rights of Persons with Disabilities (CRPD).

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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

Cited by 3 publications

References 11 publications

Association of social factors and health conditions with capacity and performance

Association of social factors and health conditions with capacity and performance

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

Measuring functioning and disability using household surveys: metric properties of the brief version of the WHO and World Bank model disability survey

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