{"title":"利用机器学习估算健康溢出效应。","authors":"Bruno Wichmann, Roberta Moreira Wichmann","doi":"10.1007/s10198-023-01621-7","DOIUrl":null,"url":null,"abstract":"<p><p>We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the model using data from 74 hospitals in Rio de Janeiro, Brazil, and examine cross-patient spillover effects during the COVID-19 pandemic. The pandemic forced hospitals to develop new protocols to offer intensive care to both COVID and non-COVID patients. Our results show that the need to care for COVID patients affects health outcomes of non-COVID patients. Controlling for a number of confounders, we find that mortality rates and length of stay of non-COVID ICU patients increase when hospitals simultaneously offer intensive care to both types of patients. Policy simulations suggest that an increase in the number of ICU beds can counter morbidity spillover, but it is unlikely to be a feasible approach to counter mortality spillover.</p>","PeriodicalId":51416,"journal":{"name":"European Journal of Health Economics","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using machine learning to estimate health spillover effects.\",\"authors\":\"Bruno Wichmann, Roberta Moreira Wichmann\",\"doi\":\"10.1007/s10198-023-01621-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the model using data from 74 hospitals in Rio de Janeiro, Brazil, and examine cross-patient spillover effects during the COVID-19 pandemic. The pandemic forced hospitals to develop new protocols to offer intensive care to both COVID and non-COVID patients. Our results show that the need to care for COVID patients affects health outcomes of non-COVID patients. Controlling for a number of confounders, we find that mortality rates and length of stay of non-COVID ICU patients increase when hospitals simultaneously offer intensive care to both types of patients. Policy simulations suggest that an increase in the number of ICU beds can counter morbidity spillover, but it is unlikely to be a feasible approach to counter mortality spillover.</p>\",\"PeriodicalId\":51416,\"journal\":{\"name\":\"European Journal of Health Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Health Economics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10198-023-01621-7\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Health Economics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10198-023-01621-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Using machine learning to estimate health spillover effects.
We develop a nonparametric model to study health spillover effects of policy interventions. We use double/debiased machine learning to estimate the model using data from 74 hospitals in Rio de Janeiro, Brazil, and examine cross-patient spillover effects during the COVID-19 pandemic. The pandemic forced hospitals to develop new protocols to offer intensive care to both COVID and non-COVID patients. Our results show that the need to care for COVID patients affects health outcomes of non-COVID patients. Controlling for a number of confounders, we find that mortality rates and length of stay of non-COVID ICU patients increase when hospitals simultaneously offer intensive care to both types of patients. Policy simulations suggest that an increase in the number of ICU beds can counter morbidity spillover, but it is unlikely to be a feasible approach to counter mortality spillover.
期刊介绍：
The European Journal of Health Economics is a journal of Health Economics and associated disciplines. The growing demand for health economics and the introduction of new guidelines in various European countries were the motivation to generate a highly scientific and at the same time practice oriented journal considering the requirements of various health care systems in Europe. The international scientific board of opinion leaders guarantees high-quality, peer-reviewed publications as well as articles for pragmatic approaches in the field of health economics. We intend to cover all aspects of health economics:
• Basics of health economic approaches and methods
• Pharmacoeconomics
• Health Care Systems
• Pricing and Reimbursement Systems
• Quality-of-Life-Studies The editors reserve the right to reject manuscripts that do not comply with the above-mentioned requirements. The author will be held responsible for false statements or for failure to fulfill the above-mentioned requirements.
Officially cited as: Eur J Health Econ
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
