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Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys

BACKGROUND: Universal Health Coverage (UHC) aims to ensure universal access to quality healthcare according to health needs. The extent to which population health needs are met should be a key measure for progress on UHC. The indicators in use for measuring access mostly relate to physical accessibi...

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Autores principales: Ranjan, Alok, Thiagarajan, Sundararaman, Garg, Samir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207793/
https://www.ncbi.nlm.nih.gov/pubmed/37221549
http://dx.doi.org/10.1186/s12913-023-09542-0
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author Ranjan, Alok
Thiagarajan, Sundararaman
Garg, Samir
author_facet Ranjan, Alok
Thiagarajan, Sundararaman
Garg, Samir
author_sort Ranjan, Alok
collection PubMed
description BACKGROUND: Universal Health Coverage (UHC) aims to ensure universal access to quality healthcare according to health needs. The extent to which population health needs are met should be a key measure for progress on UHC. The indicators in use for measuring access mostly relate to physical accessibility or insurance coverage. Or, utilization of services is taken as indirect measure for access but it is assessed against only the perceived healthcare needs. The unperceived needs do not get taken into account. The present study was aimed at demonstrating an approach for measuring the unmet healthcare needs using household survey data as an additional measure of UHC. METHODS: A household survey was conducted in Chhattisgarh state of India, covering a multi-stage sample of 3153 individuals. Healthcare need was measured in terms of perceived needs which would be self-reported and unperceived needs where clinical measurement supplemented the interview response. Estimation of unperceived healthcare needs was limited to three tracer conditions- hypertension, diabetes and depression. Multivariate analysis was conducted to find the determinants of the various measures of the perceived and unperceived needs. RESULTS: Of the surveyed individuals, 10.47% reported perceived healthcare needs for acute ailments in the last 15 days. 10.62% individuals self-reported suffering from chronic conditions. 12.75% of those with acute ailment and 18.40% with chronic ailments received no treatment, while 27.83% and 9.07% respectively received treatment from unqualified providers. On an average, patients with chronic ailments received only half the medication doses required annually. The latent need was very high for chronic ailments. 47.42% of individuals above 30 years age never had blood pressure measured. 95% of those identified with likelihood of depression had not sought any healthcare and they did not know they could be suffering from depression. CONCLUSION: To assess progress on UHC more meaningfully, better methods are needed to measure unmet healthcare needs, taking into account both the perceived and unperceived needs, as well as incomplete care and inappropriate care. Appropriately designed household surveys offer a significant potential to allow its periodic measurement. Their limitations in measuring the ‘inappropriate care’ may necessitate supplementation with qualitative methods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09542-0.
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spelling pubmed-102077932023-05-25 Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys Ranjan, Alok Thiagarajan, Sundararaman Garg, Samir BMC Health Serv Res Research BACKGROUND: Universal Health Coverage (UHC) aims to ensure universal access to quality healthcare according to health needs. The extent to which population health needs are met should be a key measure for progress on UHC. The indicators in use for measuring access mostly relate to physical accessibility or insurance coverage. Or, utilization of services is taken as indirect measure for access but it is assessed against only the perceived healthcare needs. The unperceived needs do not get taken into account. The present study was aimed at demonstrating an approach for measuring the unmet healthcare needs using household survey data as an additional measure of UHC. METHODS: A household survey was conducted in Chhattisgarh state of India, covering a multi-stage sample of 3153 individuals. Healthcare need was measured in terms of perceived needs which would be self-reported and unperceived needs where clinical measurement supplemented the interview response. Estimation of unperceived healthcare needs was limited to three tracer conditions- hypertension, diabetes and depression. Multivariate analysis was conducted to find the determinants of the various measures of the perceived and unperceived needs. RESULTS: Of the surveyed individuals, 10.47% reported perceived healthcare needs for acute ailments in the last 15 days. 10.62% individuals self-reported suffering from chronic conditions. 12.75% of those with acute ailment and 18.40% with chronic ailments received no treatment, while 27.83% and 9.07% respectively received treatment from unqualified providers. On an average, patients with chronic ailments received only half the medication doses required annually. The latent need was very high for chronic ailments. 47.42% of individuals above 30 years age never had blood pressure measured. 95% of those identified with likelihood of depression had not sought any healthcare and they did not know they could be suffering from depression. CONCLUSION: To assess progress on UHC more meaningfully, better methods are needed to measure unmet healthcare needs, taking into account both the perceived and unperceived needs, as well as incomplete care and inappropriate care. Appropriately designed household surveys offer a significant potential to allow its periodic measurement. Their limitations in measuring the ‘inappropriate care’ may necessitate supplementation with qualitative methods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09542-0. BioMed Central 2023-05-23 /pmc/articles/PMC10207793/ /pubmed/37221549 http://dx.doi.org/10.1186/s12913-023-09542-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ranjan, Alok
Thiagarajan, Sundararaman
Garg, Samir
Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
title Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
title_full Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
title_fullStr Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
title_full_unstemmed Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
title_short Measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
title_sort measurement of unmet healthcare needs to assess progress on universal health coverage - exploring a novel approach based on household surveys
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207793/
https://www.ncbi.nlm.nih.gov/pubmed/37221549
http://dx.doi.org/10.1186/s12913-023-09542-0
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