Prevalence and predictors of unmet needs among the elderly residents of the rural field practice area of a tertiary care centre from Northern India

Abhishek Singh, Mohan Bairwa, Shewtank Goel, Ravi Bypareddy, Prassana Mithra

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Abstract

Background: Surrogate markers simple enough to be used by primary care workers have not been closely investigated by the community experts in rural Uttar Pradesh. We assessed the physical disabilities in activities of daily living (ADL) and unmet need in physical disabilities among rural elderly. Predictors of unmet needs in physical disabilities among the elderly were also identified. Methods: A community based cross-sectional study was conducted among elderly residents of the rural field practice area of a tertiary care centre in rural Uttar Pradesh. Three hundred and thirty five (335) participants aged 60 years and above from 9 villages were selected using the Probability Proportional to Size (PPS) sampling technique. Study tools were the proforma regarding socio-demographic details, socio-economic status and Stanford Health Assessment Questionnaire. Multivariate logistic regression analysis was performed to identify predictors of unmet needs. Results: 185 (55.2%) had physical disability in one or more activity limitation. Gender wise elderly females had more physical disability in one or more ADL categories than elderly males (66.8% vs. 42.0%). Almost one third (32.5%) of subjects had unmet need for one or more physical disabilities. the predictors of unmet needs that were identified in the study were female gender (P = 0.046), elderly aged 70 years and above (P = 0.032), those living alone (P = 0.035), low monthly family income (P = 0.044), financially fully dependent elderly (P = 0.0002), and those having 3 or more physical disabilities (P = 0.033). Conclusions: The findings of the study highlight that large number of needs of the disabled are still unmet. Greater, targeted efforts are needed to identify at-risk elderly people living in the community. These predictors would act as surrogate markers and can be easily used by primary care workers to plan and provide services to the elderly people in rural communities.

Original languageEnglish
Pages (from-to)44-50
Number of pages7
JournalMalaysian Journal of Medical Sciences
Volume23
Issue number5
DOIs
Publication statusPublished - 01-09-2016

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Tertiary Care Centers
India
Activities of Daily Living
Primary Health Care
Biomarkers
Rural Population
Health Status
Cross-Sectional Studies
Logistic Models
Regression Analysis
Economics
Demography

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

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title = "Prevalence and predictors of unmet needs among the elderly residents of the rural field practice area of a tertiary care centre from Northern India",
abstract = "Background: Surrogate markers simple enough to be used by primary care workers have not been closely investigated by the community experts in rural Uttar Pradesh. We assessed the physical disabilities in activities of daily living (ADL) and unmet need in physical disabilities among rural elderly. Predictors of unmet needs in physical disabilities among the elderly were also identified. Methods: A community based cross-sectional study was conducted among elderly residents of the rural field practice area of a tertiary care centre in rural Uttar Pradesh. Three hundred and thirty five (335) participants aged 60 years and above from 9 villages were selected using the Probability Proportional to Size (PPS) sampling technique. Study tools were the proforma regarding socio-demographic details, socio-economic status and Stanford Health Assessment Questionnaire. Multivariate logistic regression analysis was performed to identify predictors of unmet needs. Results: 185 (55.2{\%}) had physical disability in one or more activity limitation. Gender wise elderly females had more physical disability in one or more ADL categories than elderly males (66.8{\%} vs. 42.0{\%}). Almost one third (32.5{\%}) of subjects had unmet need for one or more physical disabilities. the predictors of unmet needs that were identified in the study were female gender (P = 0.046), elderly aged 70 years and above (P = 0.032), those living alone (P = 0.035), low monthly family income (P = 0.044), financially fully dependent elderly (P = 0.0002), and those having 3 or more physical disabilities (P = 0.033). Conclusions: The findings of the study highlight that large number of needs of the disabled are still unmet. Greater, targeted efforts are needed to identify at-risk elderly people living in the community. These predictors would act as surrogate markers and can be easily used by primary care workers to plan and provide services to the elderly people in rural communities.",
author = "Abhishek Singh and Mohan Bairwa and Shewtank Goel and Ravi Bypareddy and Prassana Mithra",
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Prevalence and predictors of unmet needs among the elderly residents of the rural field practice area of a tertiary care centre from Northern India. / Singh, Abhishek; Bairwa, Mohan; Goel, Shewtank; Bypareddy, Ravi; Mithra, Prassana.

In: Malaysian Journal of Medical Sciences, Vol. 23, No. 5, 01.09.2016, p. 44-50.

Research output: Contribution to journalArticle

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AU - Bairwa, Mohan

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AU - Bypareddy, Ravi

AU - Mithra, Prassana

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N2 - Background: Surrogate markers simple enough to be used by primary care workers have not been closely investigated by the community experts in rural Uttar Pradesh. We assessed the physical disabilities in activities of daily living (ADL) and unmet need in physical disabilities among rural elderly. Predictors of unmet needs in physical disabilities among the elderly were also identified. Methods: A community based cross-sectional study was conducted among elderly residents of the rural field practice area of a tertiary care centre in rural Uttar Pradesh. Three hundred and thirty five (335) participants aged 60 years and above from 9 villages were selected using the Probability Proportional to Size (PPS) sampling technique. Study tools were the proforma regarding socio-demographic details, socio-economic status and Stanford Health Assessment Questionnaire. Multivariate logistic regression analysis was performed to identify predictors of unmet needs. Results: 185 (55.2%) had physical disability in one or more activity limitation. Gender wise elderly females had more physical disability in one or more ADL categories than elderly males (66.8% vs. 42.0%). Almost one third (32.5%) of subjects had unmet need for one or more physical disabilities. the predictors of unmet needs that were identified in the study were female gender (P = 0.046), elderly aged 70 years and above (P = 0.032), those living alone (P = 0.035), low monthly family income (P = 0.044), financially fully dependent elderly (P = 0.0002), and those having 3 or more physical disabilities (P = 0.033). Conclusions: The findings of the study highlight that large number of needs of the disabled are still unmet. Greater, targeted efforts are needed to identify at-risk elderly people living in the community. These predictors would act as surrogate markers and can be easily used by primary care workers to plan and provide services to the elderly people in rural communities.

AB - Background: Surrogate markers simple enough to be used by primary care workers have not been closely investigated by the community experts in rural Uttar Pradesh. We assessed the physical disabilities in activities of daily living (ADL) and unmet need in physical disabilities among rural elderly. Predictors of unmet needs in physical disabilities among the elderly were also identified. Methods: A community based cross-sectional study was conducted among elderly residents of the rural field practice area of a tertiary care centre in rural Uttar Pradesh. Three hundred and thirty five (335) participants aged 60 years and above from 9 villages were selected using the Probability Proportional to Size (PPS) sampling technique. Study tools were the proforma regarding socio-demographic details, socio-economic status and Stanford Health Assessment Questionnaire. Multivariate logistic regression analysis was performed to identify predictors of unmet needs. Results: 185 (55.2%) had physical disability in one or more activity limitation. Gender wise elderly females had more physical disability in one or more ADL categories than elderly males (66.8% vs. 42.0%). Almost one third (32.5%) of subjects had unmet need for one or more physical disabilities. the predictors of unmet needs that were identified in the study were female gender (P = 0.046), elderly aged 70 years and above (P = 0.032), those living alone (P = 0.035), low monthly family income (P = 0.044), financially fully dependent elderly (P = 0.0002), and those having 3 or more physical disabilities (P = 0.033). Conclusions: The findings of the study highlight that large number of needs of the disabled are still unmet. Greater, targeted efforts are needed to identify at-risk elderly people living in the community. These predictors would act as surrogate markers and can be easily used by primary care workers to plan and provide services to the elderly people in rural communities.

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