{"title":"选择性医疗管理策略。","authors":"Donald Fetterolf, Marty Olson","doi":"10.1089/dis.2008.111721","DOIUrl":null,"url":null,"abstract":"<p><p>Historically, health plans and disease management companies have employed \"opt-out\" strategies for evaluating medical management outcomes across larger populations, targeting the entire population of eligible individuals and allowing those not interested to opt out. Recent observations that the predominant effort of these programs is on high-risk patients has lead some managers to suggest that the focus be on only those individuals with an anticipated higher effectiveness and lower cost to the payers of such services. They believe such \"opt-in\" models, in which only higher risk participants are targeted and enrolled, will deliver higher value. The use of common opt-in models, however, is not only methodologically unsound, but experience in the field suggests there may be less overall effect as well. Calculation methods for developing impact remain extremely sensitive to methodology</p>","PeriodicalId":51235,"journal":{"name":"Disease Management : Dm","volume":"11 1","pages":"37-46"},"PeriodicalIF":0.0000,"publicationDate":"2008-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/dis.2008.111721","citationCount":"2","resultStr":"{\"title\":\"Opt-in medical management strategies.\",\"authors\":\"Donald Fetterolf, Marty Olson\",\"doi\":\"10.1089/dis.2008.111721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Historically, health plans and disease management companies have employed \\\"opt-out\\\" strategies for evaluating medical management outcomes across larger populations, targeting the entire population of eligible individuals and allowing those not interested to opt out. Recent observations that the predominant effort of these programs is on high-risk patients has lead some managers to suggest that the focus be on only those individuals with an anticipated higher effectiveness and lower cost to the payers of such services. They believe such \\\"opt-in\\\" models, in which only higher risk participants are targeted and enrolled, will deliver higher value. The use of common opt-in models, however, is not only methodologically unsound, but experience in the field suggests there may be less overall effect as well. Calculation methods for developing impact remain extremely sensitive to methodology</p>\",\"PeriodicalId\":51235,\"journal\":{\"name\":\"Disease Management : Dm\",\"volume\":\"11 1\",\"pages\":\"37-46\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1089/dis.2008.111721\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Disease Management : Dm\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/dis.2008.111721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disease Management : Dm","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/dis.2008.111721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Historically, health plans and disease management companies have employed "opt-out" strategies for evaluating medical management outcomes across larger populations, targeting the entire population of eligible individuals and allowing those not interested to opt out. Recent observations that the predominant effort of these programs is on high-risk patients has lead some managers to suggest that the focus be on only those individuals with an anticipated higher effectiveness and lower cost to the payers of such services. They believe such "opt-in" models, in which only higher risk participants are targeted and enrolled, will deliver higher value. The use of common opt-in models, however, is not only methodologically unsound, but experience in the field suggests there may be less overall effect as well. Calculation methods for developing impact remain extremely sensitive to methodology