Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1785096621813399552 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10456130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sivananthamparthibane costeffectivenessofimplementingriskbasedcardiovasculardiseasecvdmanagementusingupdatedwhocvdriskpredictionchartsinindia AT smathankumar costeffectivenessofimplementingriskbasedcardiovasculardiseasecvdmanagementusingupdatedwhocvdriskpredictionchartsinindia AT essakkysaravanan costeffectivenessofimplementingriskbasedcardiovasculardiseasecvdmanagementusingupdatedwhocvdriskpredictionchartsinindia AT singhmalkeet costeffectivenessofimplementingriskbasedcardiovasculardiseasecvdmanagementusingupdatedwhocvdriskpredictionchartsinindia AT ghoshsrobana costeffectivenessofimplementingriskbasedcardiovasculardiseasecvdmanagementusingupdatedwhocvdriskpredictionchartsinindia AT mehndirattaabha costeffectivenessofimplementingriskbasedcardiovasculardiseasecvdmanagementusingupdatedwhocvdriskpredictionchartsinindia AT karsitanshusekhar costeffectivenessofimplementingriskbasedcardiovasculardiseasecvdmanagementusingupdatedwhocvdriskpredictionchartsinindia |