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Health-related quality of life among Indian population: The EQ-5D population norms for India

BACKGROUND: The EuroQol 5 dimensions (EQ-5D) is the most used generic health-related quality of life (HRQoL) instrument for measuring population health and health outcomes. Since there are no EuroQol 5 dimensions 5 levels (EQ-5D-5L) population norms available for India, this study developed the Indi...

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Autores principales: Jyani, Gaurav, Prinja, Shankar, Garg, Basant, Kaur, Manmeet, Grover, Sandeep, Sharma, Atul, Goyal, Aarti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936451/
https://www.ncbi.nlm.nih.gov/pubmed/36799239
http://dx.doi.org/10.7189/jogh.13.04018
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author Jyani, Gaurav
Prinja, Shankar
Garg, Basant
Kaur, Manmeet
Grover, Sandeep
Sharma, Atul
Goyal, Aarti
author_facet Jyani, Gaurav
Prinja, Shankar
Garg, Basant
Kaur, Manmeet
Grover, Sandeep
Sharma, Atul
Goyal, Aarti
author_sort Jyani, Gaurav
collection PubMed
description BACKGROUND: The EuroQol 5 dimensions (EQ-5D) is the most used generic health-related quality of life (HRQoL) instrument for measuring population health and health outcomes. Since there are no EuroQol 5 dimensions 5 levels (EQ-5D-5L) population norms available for India, this study developed the Indian population norms for the EQ-5D-5L. The potential influencing factors of HRQoL of the Indian population have been identified. METHODS: The data was collected alongside the Indian EQ-5D-5L valuation study (Development of an EQ-5D Value Set for India Using an Extended Design: DEVINE Study). A cross-sectional survey of 3548 adult respondents was conducted across five states of India, in which respondents were asked to report their own health states using the EQ-5D-5L descriptive system and the EuroQol Visual Analog Scale (EQ VAS). The utility score was calculated using the EQ-5D-5L value set based on the preferences of the Indian population. Norm scores were generated for age, sex, and other important socio-demographic variables. The proportion of patients reporting problems in different dimensions of EQ-5D-5L was assessed. The impact of socio-economic determinants on health-related quality of life was evaluated using multiple linear regression. RESULTS: The mean EQ VAS score of the Indian population is 75.18 (95% confidence interval (CI) = 74.50-75.90), whereas mean utility score is 0.848 (95% CI = 0.840-0.857). The EQ VAS scores, and utility scores decreased with age. Males reported higher EQ VAS values than females. The highest mean utility score was observed for males of <20 years (0.936), whereas the lowest mean score was observed for females of >70 years (0.488). The mean VAS score ranged between 85.24 for females of <20 years and 50.67 for females of >70 years. Highest problems were reported in the dimension of “pain / discomfort”, closely followed by “anxiety / depression”. Age, educational qualification, marital status, substance abuse, presence of ailments, state / region of residence, number of dependent members in the household, and time spent on mobile are the significant determinants of HRQoL of Indian population. CONCLUSIONS: These population norms will be used as reference values for comparative purposes in future Indian studies. Economic evaluations can use these average age-specific HRQoL population norms to value the health-state of not having the specific disease under investigation.
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spelling pubmed-99364512023-02-18 Health-related quality of life among Indian population: The EQ-5D population norms for India Jyani, Gaurav Prinja, Shankar Garg, Basant Kaur, Manmeet Grover, Sandeep Sharma, Atul Goyal, Aarti J Glob Health Articles BACKGROUND: The EuroQol 5 dimensions (EQ-5D) is the most used generic health-related quality of life (HRQoL) instrument for measuring population health and health outcomes. Since there are no EuroQol 5 dimensions 5 levels (EQ-5D-5L) population norms available for India, this study developed the Indian population norms for the EQ-5D-5L. The potential influencing factors of HRQoL of the Indian population have been identified. METHODS: The data was collected alongside the Indian EQ-5D-5L valuation study (Development of an EQ-5D Value Set for India Using an Extended Design: DEVINE Study). A cross-sectional survey of 3548 adult respondents was conducted across five states of India, in which respondents were asked to report their own health states using the EQ-5D-5L descriptive system and the EuroQol Visual Analog Scale (EQ VAS). The utility score was calculated using the EQ-5D-5L value set based on the preferences of the Indian population. Norm scores were generated for age, sex, and other important socio-demographic variables. The proportion of patients reporting problems in different dimensions of EQ-5D-5L was assessed. The impact of socio-economic determinants on health-related quality of life was evaluated using multiple linear regression. RESULTS: The mean EQ VAS score of the Indian population is 75.18 (95% confidence interval (CI) = 74.50-75.90), whereas mean utility score is 0.848 (95% CI = 0.840-0.857). The EQ VAS scores, and utility scores decreased with age. Males reported higher EQ VAS values than females. The highest mean utility score was observed for males of <20 years (0.936), whereas the lowest mean score was observed for females of >70 years (0.488). The mean VAS score ranged between 85.24 for females of <20 years and 50.67 for females of >70 years. Highest problems were reported in the dimension of “pain / discomfort”, closely followed by “anxiety / depression”. Age, educational qualification, marital status, substance abuse, presence of ailments, state / region of residence, number of dependent members in the household, and time spent on mobile are the significant determinants of HRQoL of Indian population. CONCLUSIONS: These population norms will be used as reference values for comparative purposes in future Indian studies. Economic evaluations can use these average age-specific HRQoL population norms to value the health-state of not having the specific disease under investigation. International Society of Global Health 2023-02-17 /pmc/articles/PMC9936451/ /pubmed/36799239 http://dx.doi.org/10.7189/jogh.13.04018 Text en Copyright © 2023 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Jyani, Gaurav
Prinja, Shankar
Garg, Basant
Kaur, Manmeet
Grover, Sandeep
Sharma, Atul
Goyal, Aarti
Health-related quality of life among Indian population: The EQ-5D population norms for India
title Health-related quality of life among Indian population: The EQ-5D population norms for India
title_full Health-related quality of life among Indian population: The EQ-5D population norms for India
title_fullStr Health-related quality of life among Indian population: The EQ-5D population norms for India
title_full_unstemmed Health-related quality of life among Indian population: The EQ-5D population norms for India
title_short Health-related quality of life among Indian population: The EQ-5D population norms for India
title_sort health-related quality of life among indian population: the eq-5d population norms for india
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936451/
https://www.ncbi.nlm.nih.gov/pubmed/36799239
http://dx.doi.org/10.7189/jogh.13.04018
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