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Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study

OBJECTIVE: To estimate average annual expenditures per person, total economic burden and distress health financing associated with the treatment of five cardio-metabolic diseases (CMDs—hypertension, diabetes, heart disease (angina, myocardial infarction and heart failure), stroke and chronic kidney...

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Autores principales: Gupta, Priti, Singh, Kalpana, Shivashankar, Roopa, Singh, Kavita, Vamadevan, Ajay, Mohan, V, Kadir, Muhammad Masood, Tandon, Nikhil, Narayan, K M, Prabhakaran, Dorairaj, Ali, Mohammed K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528361/
https://www.ncbi.nlm.nih.gov/pubmed/32998917
http://dx.doi.org/10.1136/bmjopen-2019-036317
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author Gupta, Priti
Singh, Kalpana
Shivashankar, Roopa
Singh, Kavita
Vamadevan, Ajay
Mohan, V
Kadir, Muhammad Masood
Tandon, Nikhil
Narayan, K M
Prabhakaran, Dorairaj
Ali, Mohammed K
author_facet Gupta, Priti
Singh, Kalpana
Shivashankar, Roopa
Singh, Kavita
Vamadevan, Ajay
Mohan, V
Kadir, Muhammad Masood
Tandon, Nikhil
Narayan, K M
Prabhakaran, Dorairaj
Ali, Mohammed K
author_sort Gupta, Priti
collection PubMed
description OBJECTIVE: To estimate average annual expenditures per person, total economic burden and distress health financing associated with the treatment of five cardio-metabolic diseases (CMDs—hypertension, diabetes, heart disease (angina, myocardial infarction and heart failure), stroke and chronic kidney disease) in three metropolitan cities in South Asia. DESIGN: Cross-sectional surveys. SETTING: We analysed community-based baseline data from the Centre for cArdio-metabolic Risk Reduction in South Asia (CARRS) Study collected in 2010–2011 representing Chennai and New Delhi (India), and Karachi (Pakistan). PARTICIPANTS: We used data from non-pregnant adults (≥20 years) from the aforementioned cities that responded to a cost-of-illness questionnaire. We estimated health utilisation and expenditures among those reporting taking treatment(s) for the aforementioned CMDs in the last 1 year. We converted all costs to International Dollars (Int$ 2011) and inflated to 2018 values. The annual costs per person were stratified by city, sociodemographic characteristics, contributor of costs and financing methods. The total economic burden of CMDs for each city was projected using age-standardised prevalence and per-person costs of diseases reported in CARRS, applying these to population data from the most recent census. We also calculated distress financing (DF) as having to borrow or sell assets to pay for CMD treatment and identified sociodemographic groups at most risk of DF using multiple regression. RESULTS: Of 16 287 CARRS participants, 2883 (17.7%) reported receiving treatment for CMDs. The total annual expenditures reported per patient for CMDs ranged from Int$358 to Int$2425. Medications constituted 46% of total direct expenditures and out-of-pocket (OOP) expenditures accounted for nearly 80% of financing these health expenditures. Total economic burdens of CMDs were Int$0.42 billion, Int$3.4 billion and Int$1.4 billion in Chennai, New Delhi and Karachi, respectively. Overall, 36.1% experienced DF, and women (OR=4.4), unemployed (OR=10.7) and uninsured (OR=8.1) adults experienced higher odds of DF. CONCLUSION: CMDs are associated with large economic burdens in South Asia. Due to most payments coming from OOP expenditures and limited insurance, the odds of DF are high.
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spelling pubmed-75283612020-10-19 Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study Gupta, Priti Singh, Kalpana Shivashankar, Roopa Singh, Kavita Vamadevan, Ajay Mohan, V Kadir, Muhammad Masood Tandon, Nikhil Narayan, K M Prabhakaran, Dorairaj Ali, Mohammed K BMJ Open Public Health OBJECTIVE: To estimate average annual expenditures per person, total economic burden and distress health financing associated with the treatment of five cardio-metabolic diseases (CMDs—hypertension, diabetes, heart disease (angina, myocardial infarction and heart failure), stroke and chronic kidney disease) in three metropolitan cities in South Asia. DESIGN: Cross-sectional surveys. SETTING: We analysed community-based baseline data from the Centre for cArdio-metabolic Risk Reduction in South Asia (CARRS) Study collected in 2010–2011 representing Chennai and New Delhi (India), and Karachi (Pakistan). PARTICIPANTS: We used data from non-pregnant adults (≥20 years) from the aforementioned cities that responded to a cost-of-illness questionnaire. We estimated health utilisation and expenditures among those reporting taking treatment(s) for the aforementioned CMDs in the last 1 year. We converted all costs to International Dollars (Int$ 2011) and inflated to 2018 values. The annual costs per person were stratified by city, sociodemographic characteristics, contributor of costs and financing methods. The total economic burden of CMDs for each city was projected using age-standardised prevalence and per-person costs of diseases reported in CARRS, applying these to population data from the most recent census. We also calculated distress financing (DF) as having to borrow or sell assets to pay for CMD treatment and identified sociodemographic groups at most risk of DF using multiple regression. RESULTS: Of 16 287 CARRS participants, 2883 (17.7%) reported receiving treatment for CMDs. The total annual expenditures reported per patient for CMDs ranged from Int$358 to Int$2425. Medications constituted 46% of total direct expenditures and out-of-pocket (OOP) expenditures accounted for nearly 80% of financing these health expenditures. Total economic burdens of CMDs were Int$0.42 billion, Int$3.4 billion and Int$1.4 billion in Chennai, New Delhi and Karachi, respectively. Overall, 36.1% experienced DF, and women (OR=4.4), unemployed (OR=10.7) and uninsured (OR=8.1) adults experienced higher odds of DF. CONCLUSION: CMDs are associated with large economic burdens in South Asia. Due to most payments coming from OOP expenditures and limited insurance, the odds of DF are high. BMJ Publishing Group 2020-09-30 /pmc/articles/PMC7528361/ /pubmed/32998917 http://dx.doi.org/10.1136/bmjopen-2019-036317 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Gupta, Priti
Singh, Kalpana
Shivashankar, Roopa
Singh, Kavita
Vamadevan, Ajay
Mohan, V
Kadir, Muhammad Masood
Tandon, Nikhil
Narayan, K M
Prabhakaran, Dorairaj
Ali, Mohammed K
Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study
title Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study
title_full Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study
title_fullStr Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study
title_full_unstemmed Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study
title_short Healthcare utilisation and expenditure patterns for cardio-metabolic diseases in South Asian cities: the CARRS Study
title_sort healthcare utilisation and expenditure patterns for cardio-metabolic diseases in south asian cities: the carrs study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528361/
https://www.ncbi.nlm.nih.gov/pubmed/32998917
http://dx.doi.org/10.1136/bmjopen-2019-036317
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