Cristina Rodriguez Vera, and C M Friend, Osazee Paul, J. Welsh, Nataraj Dasgupta
{"title":"处方阿片类药物的真实成本","authors":"Cristina Rodriguez Vera, and C M Friend, Osazee Paul, J. Welsh, Nataraj Dasgupta","doi":"10.2139/ssrn.3760582","DOIUrl":null,"url":null,"abstract":"This research paper investigates whether payments made to physicians by opioid manufacturers influence their prescribing behaviour for opioid medications. The relationship has been explored primarily using payments data from CMS OpenPayments, prescribing data from Medicare Part D Provider Utilization and Payment Data and county-level statistical & socio-economic data from University of Wisconsin Population Health Institute. Explanation and sources of covariates have been provided in the Data Dictionary. Using Fixed Effects Panel Data Analysis (with Robust Covariance Matrix estimates), higher payments were observed to lead to higher prescription rates and therefore, the impact and consequences of the association, in light of the US Opioid Crisis, were evaluated.","PeriodicalId":8737,"journal":{"name":"Behavioral & Experimental Accounting eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The True Cost of Prescription Opioids\",\"authors\":\"Cristina Rodriguez Vera, and C M Friend, Osazee Paul, J. Welsh, Nataraj Dasgupta\",\"doi\":\"10.2139/ssrn.3760582\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper investigates whether payments made to physicians by opioid manufacturers influence their prescribing behaviour for opioid medications. The relationship has been explored primarily using payments data from CMS OpenPayments, prescribing data from Medicare Part D Provider Utilization and Payment Data and county-level statistical & socio-economic data from University of Wisconsin Population Health Institute. Explanation and sources of covariates have been provided in the Data Dictionary. Using Fixed Effects Panel Data Analysis (with Robust Covariance Matrix estimates), higher payments were observed to lead to higher prescription rates and therefore, the impact and consequences of the association, in light of the US Opioid Crisis, were evaluated.\",\"PeriodicalId\":8737,\"journal\":{\"name\":\"Behavioral & Experimental Accounting eJournal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavioral & Experimental Accounting eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3760582\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavioral & Experimental Accounting eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3760582","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This research paper investigates whether payments made to physicians by opioid manufacturers influence their prescribing behaviour for opioid medications. The relationship has been explored primarily using payments data from CMS OpenPayments, prescribing data from Medicare Part D Provider Utilization and Payment Data and county-level statistical & socio-economic data from University of Wisconsin Population Health Institute. Explanation and sources of covariates have been provided in the Data Dictionary. Using Fixed Effects Panel Data Analysis (with Robust Covariance Matrix estimates), higher payments were observed to lead to higher prescription rates and therefore, the impact and consequences of the association, in light of the US Opioid Crisis, were evaluated.