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dc.contributor.authorHaakenstad, A.
dc.contributor.authorBintz, C.
dc.contributor.authorKnight, M.
dc.contributor.authorBienhoff, K.
dc.contributor.authorChacon-Torrico, H.
dc.contributor.authorCurioso, W.H.
dc.contributor.authorDieleman, J.L.
dc.contributor.authorGage, A.
dc.contributor.authorGakidou, E.
dc.contributor.authorHay, S.I.
dc.contributor.authorHenry, N.J.
dc.contributor.authorHernández-Vásquez, A.
dc.contributor.authorMéndez Méndez, J.S.
dc.contributor.authorVillarreal, H.J.
dc.contributor.authorLozano, R.
dc.date.accessioned2025-10-31T18:41:17Z
dc.date.available2025-10-31T18:41:17Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.12805/5885
dc.description.abstractBackground: The COVID-19 pandemic disrupted health systems in 2020, but it is unclear how financial hardship due to out-of-pocket (OOP) health-care costs was affected. We analysed catastrophic health expenditure (CHE) in 2020 in five countries with available household expenditure data: Belarus, Mexico, Peru, Russia, and Viet Nam. In Mexico and Peru, we also conducted an analysis of drivers of change in CHE in 2020 using publicly available data. Methods: In this time-series analysis, we defined CHE as when OOP health-care spending exceeds 10% of consumption expenditure. Data for 2004–20 were obtained from individual and household level survey microdata (available for Mexico and Peru only), and tabulated data from the National Statistical Committee of Belarus and the World Bank Health Equity and Financial Protection Indicator database (for Viet Nam and Russia). We compared 2020 CHE with the CHE predicted from historical trends using an ensemble model. This method was also used to assess drivers of CHE: insurance coverage, OOP expenditure, and consumption expenditure. Interrupted time-series analysis was used to investigate the role of stay-at-home orders in March, 2020 in changes in health-care use and sector (ie, private vs public). Findings: In Mexico, CHE increased to 5·6% (95% uncertainty interval [UI] 5·1–6·2) in 2020, higher than predicted (3·2%, 2·5–4·0). In Belarus, CHE was 13·5% (11·8–15·2) in 2020, also higher than predicted (9·7%, 7·7–11·3). CHE was not different than predicted by past trends in Russia, Peru, and Viet Nam. Between March and April, 2020, health-care visits dropped by 4·6 (2·6–6·5) percentage points in Mexico and by 48·3 (40·6–56·0) percentage points in Peru, and the private share of health-care visits increased by 7·3 (4·3–10·3) percentage points in Mexico and by 20·7 (17·3–24·0) percentage points in Peru. Interpretation: In three of the five countries studied, health systems either did not protect people from the financial risks of health care or did not maintain health-care access in 2020, an indication of health systems failing to maintain basic functions. If the 2020 response to the COVID-19 pandemic accelerated shifts to private health-care use, policies to cover costs in that sector or motivate patients to return to the public sector are needed to maintain financial risk protection. Funding: The Bill & Melinda Gates Foundation.en_US
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofurn:issn:2572-116X
dc.rightshttps://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectSDG 3en_US
dc.subjectSDG 10en_US
dc.subjectCOVID-19, Its Impact, and Vaccinationen_US
dc.subjectExcess Mortality Trends During COVID-19 Pandemicen_US
dc.titleCatastrophic health expenditure during the COVID-19 pandemic in five countries: a time-series analysisen_US
dc.typehttps://purl.org/coar/resource_type/c_2df8fbb1
dc.identifier.doihttps://doi.org/10.1016/S2214-109X(23)00330-3
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.03.00
dc.type.otherResearch article
dc.identifier.journalThe Lancet Global Health
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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