M. Mueller, F. Xiang, C. Penn, C. James, L. Lorenzoni, D. Morgan
{"title":"Improving the timeliness of health expenditure tracking in OECD and low- and middle-income countries","authors":"M. Mueller, F. Xiang, C. Penn, C. James, L. Lorenzoni, D. Morgan","doi":"10.1787/0b699976-en","DOIUrl":null,"url":null,"abstract":"The COVID-19 pandemic has highlighted that access to timely health spending data is crucial for informed policy-making. This Health Working Paper summarises and compares the methodologies applied in around half of OECD countries to estimate public and private health spending for the most recent year (i.e. t-1) as well as the approaches taken by the OECD Secretariat to fill existing data gaps for the remaining OECD countries. For the first time, the paper also explores the feasibility of nowcasting health spending for the current year (i.e. t) and examines data sources that could be potentially useful in such an exercise. While this review should help OECD countries that do not yet have experience in estimating health spending for year t-1 to improve the timeliness in their data reporting, a special focus in this paper lies on testing the applicability of the methods in low- and middle-income countries (LMIC), using the WHO Western Pacific Region (WPRO) as an example. Generally, different data sources exist in many countries that would allow for a more timely estimation for health spending aggregates.","PeriodicalId":302579,"journal":{"name":"OECD Health Working Papers","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OECD Health Working Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1787/0b699976-en","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The COVID-19 pandemic has highlighted that access to timely health spending data is crucial for informed policy-making. This Health Working Paper summarises and compares the methodologies applied in around half of OECD countries to estimate public and private health spending for the most recent year (i.e. t-1) as well as the approaches taken by the OECD Secretariat to fill existing data gaps for the remaining OECD countries. For the first time, the paper also explores the feasibility of nowcasting health spending for the current year (i.e. t) and examines data sources that could be potentially useful in such an exercise. While this review should help OECD countries that do not yet have experience in estimating health spending for year t-1 to improve the timeliness in their data reporting, a special focus in this paper lies on testing the applicability of the methods in low- and middle-income countries (LMIC), using the WHO Western Pacific Region (WPRO) as an example. Generally, different data sources exist in many countries that would allow for a more timely estimation for health spending aggregates.