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Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India

INTRODUCTION: The World Health Organization (WHO) has released the updated cardiovascular disease (CVD) risk prediction charts in 2019 for each of the 21 Global Burden of Disease regions. The WHO advocates countries to implement population-based CVD risk assessment and management using these updated...

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Autores principales: Sivanantham, Parthibane, S., Mathan Kumar, Essakky, Saravanan, Singh, Malkeet, Ghosh, Srobana, Mehndiratta, Abha, Kar, Sitanshu Sekhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456130/
https://www.ncbi.nlm.nih.gov/pubmed/37624838
http://dx.doi.org/10.1371/journal.pone.0285542
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author Sivanantham, Parthibane
S., Mathan Kumar
Essakky, Saravanan
Singh, Malkeet
Ghosh, Srobana
Mehndiratta, Abha
Kar, Sitanshu Sekhar
author_facet Sivanantham, Parthibane
S., Mathan Kumar
Essakky, Saravanan
Singh, Malkeet
Ghosh, Srobana
Mehndiratta, Abha
Kar, Sitanshu Sekhar
author_sort Sivanantham, Parthibane
collection PubMed
description INTRODUCTION: The World Health Organization (WHO) has released the updated cardiovascular disease (CVD) risk prediction charts in 2019 for each of the 21 Global Burden of Disease regions. The WHO advocates countries to implement population-based CVD risk assessment and management using these updated charts for preventing and controlling CVDs. OBJECTIVE: To assess the cost-effectiveness of implementing risk-based CVD management using updated WHO CVD risk prediction charts in India METHODS: We developed a decision tree combined with Markov Model to simulate implementing two community-based CVD risk screening strategies (interventions) compared with the current no-screening scenario. In the first strategy, the whole population is initially screened using the WHO non-lab-based CVD risk assessment method, and those with ≥10% CVD risk are subjected to WHO lab-based CVD risk assessment (two-stage screening). In the second strategy, the whole population is subjected only to the lab-based CVD risk assessment (single-stage screening). A mathematical cohort of those aged ≥40 years with no history of CVD events was simulated over a lifetime horizon with three months of cycle length. Data for the model were derived from a primary study and secondary sources. Incremental cost-effectiveness ratios (ICERs) were determined for the screening strategies and sensitivity analyses. RESULTS: The discounted Incremental cost-effectiveness ratio per QALY gained for both the two-stage (US$ 105; ₹ 8,656) and single-stage (US$ 1073; ₹ 88,588) screening strategies were cost-effective at an implementation effect of 40% when compared with no screening scenario. Implementing CVD screening strategies are estimated to cause substantial reduction in the number of CVD events in the population compared to the no screening scenario. CONCLUSION: In India, both CVD screening strategies would be cost-effective, and implementing the two-staged screening would be more cost-effective. Our findings support implementing population-based CVD screening in India. Future studies shall assess the budget impact of these strategies at different implementation coverage levels.
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spelling pubmed-104561302023-08-26 Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India Sivanantham, Parthibane S., Mathan Kumar Essakky, Saravanan Singh, Malkeet Ghosh, Srobana Mehndiratta, Abha Kar, Sitanshu Sekhar PLoS One Research Article INTRODUCTION: The World Health Organization (WHO) has released the updated cardiovascular disease (CVD) risk prediction charts in 2019 for each of the 21 Global Burden of Disease regions. The WHO advocates countries to implement population-based CVD risk assessment and management using these updated charts for preventing and controlling CVDs. OBJECTIVE: To assess the cost-effectiveness of implementing risk-based CVD management using updated WHO CVD risk prediction charts in India METHODS: We developed a decision tree combined with Markov Model to simulate implementing two community-based CVD risk screening strategies (interventions) compared with the current no-screening scenario. In the first strategy, the whole population is initially screened using the WHO non-lab-based CVD risk assessment method, and those with ≥10% CVD risk are subjected to WHO lab-based CVD risk assessment (two-stage screening). In the second strategy, the whole population is subjected only to the lab-based CVD risk assessment (single-stage screening). A mathematical cohort of those aged ≥40 years with no history of CVD events was simulated over a lifetime horizon with three months of cycle length. Data for the model were derived from a primary study and secondary sources. Incremental cost-effectiveness ratios (ICERs) were determined for the screening strategies and sensitivity analyses. RESULTS: The discounted Incremental cost-effectiveness ratio per QALY gained for both the two-stage (US$ 105; ₹ 8,656) and single-stage (US$ 1073; ₹ 88,588) screening strategies were cost-effective at an implementation effect of 40% when compared with no screening scenario. Implementing CVD screening strategies are estimated to cause substantial reduction in the number of CVD events in the population compared to the no screening scenario. CONCLUSION: In India, both CVD screening strategies would be cost-effective, and implementing the two-staged screening would be more cost-effective. Our findings support implementing population-based CVD screening in India. Future studies shall assess the budget impact of these strategies at different implementation coverage levels. Public Library of Science 2023-08-25 /pmc/articles/PMC10456130/ /pubmed/37624838 http://dx.doi.org/10.1371/journal.pone.0285542 Text en © 2023 Sivanantham et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sivanantham, Parthibane
S., Mathan Kumar
Essakky, Saravanan
Singh, Malkeet
Ghosh, Srobana
Mehndiratta, Abha
Kar, Sitanshu Sekhar
Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India
title Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India
title_full Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India
title_fullStr Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India
title_full_unstemmed Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India
title_short Cost-effectiveness of implementing risk-based cardiovascular disease (CVD) management using updated WHO CVD risk prediction charts in India
title_sort cost-effectiveness of implementing risk-based cardiovascular disease (cvd) management using updated who cvd risk prediction charts in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456130/
https://www.ncbi.nlm.nih.gov/pubmed/37624838
http://dx.doi.org/10.1371/journal.pone.0285542
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