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Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India

BACKGROUND: India is undergoing a rapid demographic and epidemiologic transition. Thus demanding prioritization of diseases based on burden estimation is befitting our cultural diversity. Disability weights (DWs) by Global burden of disease (GBD) studies may not be representative. Hence, a study was...

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Autores principales: Nanda, Lipika, Lobo, Eunice, Menon, Geetha R., Dhopte, Pratik, Akhouri, Shuchi Sree, Shrivastava, Chandni, Ronghang, Roshan, Anilkumar, Aiswarya, Dutta, Ambarish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980316/
https://www.ncbi.nlm.nih.gov/pubmed/35392475
http://dx.doi.org/10.3389/fpubh.2022.752311
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author Nanda, Lipika
Lobo, Eunice
Menon, Geetha R.
Dhopte, Pratik
Akhouri, Shuchi Sree
Shrivastava, Chandni
Ronghang, Roshan
Anilkumar, Aiswarya
Dutta, Ambarish
author_facet Nanda, Lipika
Lobo, Eunice
Menon, Geetha R.
Dhopte, Pratik
Akhouri, Shuchi Sree
Shrivastava, Chandni
Ronghang, Roshan
Anilkumar, Aiswarya
Dutta, Ambarish
author_sort Nanda, Lipika
collection PubMed
description BACKGROUND: India is undergoing a rapid demographic and epidemiologic transition. Thus demanding prioritization of diseases based on burden estimation is befitting our cultural diversity. Disability weights (DWs) by Global burden of disease (GBD) studies may not be representative. Hence, a study was conducted to estimate state-specific disability weights to capture the community health perceptions that included urban–rural settings as well as different socio-economic and literacy levels. METHODS: A total of 2,055 community members (participants) from two distinct states of India, Odisha and Telangana, were interviewed to assign disability weights to the selected 14 health states based on the state burden and relevance. Each health state was described to the participants using pictorial representations of the health states and valuated using visual analog scale and card sort methods. RESULTS: We noted that DWs in Odisha ranged from 0.32 (0.30–0.34) for upper limb fracture due to road traffic accident (least severe) to 0.90 (0.88–0.93) for breast cancer (most severe) among the 14 health states. While, in Telangana, diarrhea was considered least severe [DW = 0.22 (0.19–0.24)] and breast cancer remained most severe [DW = 0.85 (0.83–0.88)] as in Odisha. Marked difference in the DWs for other health states was also seen. Further, on comparison of community weights with GBD weights using Spearman correlation, we observed a low correlation (ρ = 0.104). CONCLUSION: Our study provides community-based findings that show how participants valued noncommunicable diseases higher than short-term ailments or infectious diseases. Additionally, the low correlation between GBD also suggests the need for local disability weights rather than universal acceptance. We therefore recommend that decisions in policy-making, especially for resource allocation and priority setting, need to be based not only on expert opinion but also include community in accordance with high scientific standards.
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spelling pubmed-89803162022-04-06 Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India Nanda, Lipika Lobo, Eunice Menon, Geetha R. Dhopte, Pratik Akhouri, Shuchi Sree Shrivastava, Chandni Ronghang, Roshan Anilkumar, Aiswarya Dutta, Ambarish Front Public Health Public Health BACKGROUND: India is undergoing a rapid demographic and epidemiologic transition. Thus demanding prioritization of diseases based on burden estimation is befitting our cultural diversity. Disability weights (DWs) by Global burden of disease (GBD) studies may not be representative. Hence, a study was conducted to estimate state-specific disability weights to capture the community health perceptions that included urban–rural settings as well as different socio-economic and literacy levels. METHODS: A total of 2,055 community members (participants) from two distinct states of India, Odisha and Telangana, were interviewed to assign disability weights to the selected 14 health states based on the state burden and relevance. Each health state was described to the participants using pictorial representations of the health states and valuated using visual analog scale and card sort methods. RESULTS: We noted that DWs in Odisha ranged from 0.32 (0.30–0.34) for upper limb fracture due to road traffic accident (least severe) to 0.90 (0.88–0.93) for breast cancer (most severe) among the 14 health states. While, in Telangana, diarrhea was considered least severe [DW = 0.22 (0.19–0.24)] and breast cancer remained most severe [DW = 0.85 (0.83–0.88)] as in Odisha. Marked difference in the DWs for other health states was also seen. Further, on comparison of community weights with GBD weights using Spearman correlation, we observed a low correlation (ρ = 0.104). CONCLUSION: Our study provides community-based findings that show how participants valued noncommunicable diseases higher than short-term ailments or infectious diseases. Additionally, the low correlation between GBD also suggests the need for local disability weights rather than universal acceptance. We therefore recommend that decisions in policy-making, especially for resource allocation and priority setting, need to be based not only on expert opinion but also include community in accordance with high scientific standards. Frontiers Media S.A. 2022-03-22 /pmc/articles/PMC8980316/ /pubmed/35392475 http://dx.doi.org/10.3389/fpubh.2022.752311 Text en Copyright © 2022 Nanda, Lobo, Menon, Dhopte, Akhouri, Shrivastava, Ronghang, Anilkumar and Dutta. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Nanda, Lipika
Lobo, Eunice
Menon, Geetha R.
Dhopte, Pratik
Akhouri, Shuchi Sree
Shrivastava, Chandni
Ronghang, Roshan
Anilkumar, Aiswarya
Dutta, Ambarish
Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India
title Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India
title_full Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India
title_fullStr Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India
title_full_unstemmed Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India
title_short Disability Weights Estimates From India in 2018: Measurements From Community Members From Two Distinct States of India
title_sort disability weights estimates from india in 2018: measurements from community members from two distinct states of india
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980316/
https://www.ncbi.nlm.nih.gov/pubmed/35392475
http://dx.doi.org/10.3389/fpubh.2022.752311
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