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Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries
OBJECTIVES: COVID-19 has altered health sector capacity in low-income and middle-income countries (LMICs). Cost data to inform evidence-based priority setting are urgently needed. Consequently, in this paper, we calculate the full economic health sector costs of COVID-19 clinical management in 79 LM...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640196/ https://www.ncbi.nlm.nih.gov/pubmed/34857521 http://dx.doi.org/10.1136/bmjgh-2021-005759 |
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author | Torres-Rueda, Sergio Sweeney, Sedona Bozzani, Fiammetta Naylor, Nichola R Baker, Tim Pearson, Carl Eggo, Rosalind Procter, Simon R Davies, Nicholas Quaife, Matthew Kitson, Nichola Keogh-Brown, Marcus R Jensen, Henning Tarp Saadi, Nuru Khan, Mishal Huda, Maryam Kairu, Angela Zaidi, Raza Barasa, Edwine Jit, Mark Vassall, Anna |
author_facet | Torres-Rueda, Sergio Sweeney, Sedona Bozzani, Fiammetta Naylor, Nichola R Baker, Tim Pearson, Carl Eggo, Rosalind Procter, Simon R Davies, Nicholas Quaife, Matthew Kitson, Nichola Keogh-Brown, Marcus R Jensen, Henning Tarp Saadi, Nuru Khan, Mishal Huda, Maryam Kairu, Angela Zaidi, Raza Barasa, Edwine Jit, Mark Vassall, Anna |
author_sort | Torres-Rueda, Sergio |
collection | PubMed |
description | OBJECTIVES: COVID-19 has altered health sector capacity in low-income and middle-income countries (LMICs). Cost data to inform evidence-based priority setting are urgently needed. Consequently, in this paper, we calculate the full economic health sector costs of COVID-19 clinical management in 79 LMICs under different epidemiological scenarios. METHODS: We used country-specific epidemiological projections from a dynamic transmission model to determine number of cases, hospitalisations and deaths over 1 year under four mitigation scenarios. We defined the health sector response for three base LMICs through guidelines and expert opinion. We calculated costs through local resource use and price data and extrapolated costs across 79 LMICs. Lastly, we compared cost estimates against gross domestic product (GDP) and total annual health expenditure in 76 LMICs. RESULTS: COVID-19 clinical management costs vary greatly by country, ranging between <0.1%–12% of GDP and 0.4%–223% of total annual health expenditure (excluding out-of-pocket payments). Without mitigation policies, COVID-19 clinical management costs per capita range from US$43.39 to US$75.57; in 22 of 76 LMICs, these costs would surpass total annual health expenditure. In a scenario of stringent social distancing, costs per capita fall to US$1.10–US$1.32. CONCLUSIONS: We present the first dataset of COVID-19 clinical management costs across LMICs. These costs can be used to inform decision-making on priority setting. Our results show that COVID-19 clinical management costs in LMICs are substantial, even in scenarios of moderate social distancing. Low-income countries are particularly vulnerable and some will struggle to cope with almost any epidemiological scenario. The choices facing LMICs are likely to remain stark and emergency financial support will be needed. |
format | Online Article Text |
id | pubmed-8640196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-86401962021-12-03 Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries Torres-Rueda, Sergio Sweeney, Sedona Bozzani, Fiammetta Naylor, Nichola R Baker, Tim Pearson, Carl Eggo, Rosalind Procter, Simon R Davies, Nicholas Quaife, Matthew Kitson, Nichola Keogh-Brown, Marcus R Jensen, Henning Tarp Saadi, Nuru Khan, Mishal Huda, Maryam Kairu, Angela Zaidi, Raza Barasa, Edwine Jit, Mark Vassall, Anna BMJ Glob Health Original Research OBJECTIVES: COVID-19 has altered health sector capacity in low-income and middle-income countries (LMICs). Cost data to inform evidence-based priority setting are urgently needed. Consequently, in this paper, we calculate the full economic health sector costs of COVID-19 clinical management in 79 LMICs under different epidemiological scenarios. METHODS: We used country-specific epidemiological projections from a dynamic transmission model to determine number of cases, hospitalisations and deaths over 1 year under four mitigation scenarios. We defined the health sector response for three base LMICs through guidelines and expert opinion. We calculated costs through local resource use and price data and extrapolated costs across 79 LMICs. Lastly, we compared cost estimates against gross domestic product (GDP) and total annual health expenditure in 76 LMICs. RESULTS: COVID-19 clinical management costs vary greatly by country, ranging between <0.1%–12% of GDP and 0.4%–223% of total annual health expenditure (excluding out-of-pocket payments). Without mitigation policies, COVID-19 clinical management costs per capita range from US$43.39 to US$75.57; in 22 of 76 LMICs, these costs would surpass total annual health expenditure. In a scenario of stringent social distancing, costs per capita fall to US$1.10–US$1.32. CONCLUSIONS: We present the first dataset of COVID-19 clinical management costs across LMICs. These costs can be used to inform decision-making on priority setting. Our results show that COVID-19 clinical management costs in LMICs are substantial, even in scenarios of moderate social distancing. Low-income countries are particularly vulnerable and some will struggle to cope with almost any epidemiological scenario. The choices facing LMICs are likely to remain stark and emergency financial support will be needed. BMJ Publishing Group 2021-12-02 /pmc/articles/PMC8640196/ /pubmed/34857521 http://dx.doi.org/10.1136/bmjgh-2021-005759 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Research Torres-Rueda, Sergio Sweeney, Sedona Bozzani, Fiammetta Naylor, Nichola R Baker, Tim Pearson, Carl Eggo, Rosalind Procter, Simon R Davies, Nicholas Quaife, Matthew Kitson, Nichola Keogh-Brown, Marcus R Jensen, Henning Tarp Saadi, Nuru Khan, Mishal Huda, Maryam Kairu, Angela Zaidi, Raza Barasa, Edwine Jit, Mark Vassall, Anna Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries |
title | Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries |
title_full | Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries |
title_fullStr | Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries |
title_full_unstemmed | Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries |
title_short | Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries |
title_sort | stark choices: exploring health sector costs of policy responses to covid-19 in low-income and middle-income countries |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640196/ https://www.ncbi.nlm.nih.gov/pubmed/34857521 http://dx.doi.org/10.1136/bmjgh-2021-005759 |
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