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Health insurance system fragmentation and COVID-19 mortality: Evidence from Peru

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Health insurance system fragmentation and COVID-19 mortality: Evidence from Peru. / Anaya-Montes, Misael; Gravelle, Hugh.
In: PLoS One, Vol. 19, No. 8, e0309531, 27.08.2024.

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Anaya-Montes M, Gravelle H. Health insurance system fragmentation and COVID-19 mortality: Evidence from Peru. PLoS One. 2024 Aug 27;19(8):e0309531. doi: 10.1371/journal.pone.0309531

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@article{63d5a888eb70495b9be014021e941e12,
title = "Health insurance system fragmentation and COVID-19 mortality: Evidence from Peru",
abstract = "Peru has a fragmented health insurance system in which most insureds can only access the providers in their insurer{\textquoteright}s network. The two largest sub-systems covered about 53% and 30% of the population at the start of the pandemic; however, some individuals have dual insurance and can thereby access both sets of providers. We use data on 24.7 million individuals who belonged to one or both sub-systems to investigate the effect of dual insurance on COVID-19 mortality. We estimate recursive bivariate probit models using the difference in the distance to the nearest hospital in the two insurance sub-systems as Instrumental Variable. The effect of dual insurance was to reduce COVID-19 mortality risk by 0.23% compared with the sample mean risk of 0.54%. This implies that the 133,128 COVID-19 deaths in the sample would have been reduced by 56,418 (95%CI: 34,894, 78,069) if all individuals in the sample had dual insurance.",
author = "Misael Anaya-Montes and Hugh Gravelle",
year = "2024",
month = aug,
day = "27",
doi = "10.1371/journal.pone.0309531",
language = "English",
volume = "19",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "8",

}

RIS

TY - JOUR

T1 - Health insurance system fragmentation and COVID-19 mortality

T2 - Evidence from Peru

AU - Anaya-Montes, Misael

AU - Gravelle, Hugh

PY - 2024/8/27

Y1 - 2024/8/27

N2 - Peru has a fragmented health insurance system in which most insureds can only access the providers in their insurer’s network. The two largest sub-systems covered about 53% and 30% of the population at the start of the pandemic; however, some individuals have dual insurance and can thereby access both sets of providers. We use data on 24.7 million individuals who belonged to one or both sub-systems to investigate the effect of dual insurance on COVID-19 mortality. We estimate recursive bivariate probit models using the difference in the distance to the nearest hospital in the two insurance sub-systems as Instrumental Variable. The effect of dual insurance was to reduce COVID-19 mortality risk by 0.23% compared with the sample mean risk of 0.54%. This implies that the 133,128 COVID-19 deaths in the sample would have been reduced by 56,418 (95%CI: 34,894, 78,069) if all individuals in the sample had dual insurance.

AB - Peru has a fragmented health insurance system in which most insureds can only access the providers in their insurer’s network. The two largest sub-systems covered about 53% and 30% of the population at the start of the pandemic; however, some individuals have dual insurance and can thereby access both sets of providers. We use data on 24.7 million individuals who belonged to one or both sub-systems to investigate the effect of dual insurance on COVID-19 mortality. We estimate recursive bivariate probit models using the difference in the distance to the nearest hospital in the two insurance sub-systems as Instrumental Variable. The effect of dual insurance was to reduce COVID-19 mortality risk by 0.23% compared with the sample mean risk of 0.54%. This implies that the 133,128 COVID-19 deaths in the sample would have been reduced by 56,418 (95%CI: 34,894, 78,069) if all individuals in the sample had dual insurance.

U2 - 10.1371/journal.pone.0309531

DO - 10.1371/journal.pone.0309531

M3 - Journal article

VL - 19

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 8

M1 - e0309531

ER -