P. Kingery, C. Ellsworth, B. S. Corbett, R. Bowden, J. Brizzolara
{"title":"高成本的分析。对促进工作场所健康的案例进行更深入的研究。","authors":"P. Kingery, C. Ellsworth, B. S. Corbett, R. Bowden, J. Brizzolara","doi":"10.1097/00043764-199412000-00017","DOIUrl":null,"url":null,"abstract":"Studies linking medical costs to behavioral risk and risk-lowering often use means for comparisons, although claims data are highly skewed. The result overestimates and obscures the case for work-site health promotion. In this study, high-cost analysis is illustrated in a sample of university employees. Five risk factors were examined: cholesterol, blood pressure, cardiovascular fitness, body fat, and smoking status. Screened employees who released their claims (n = 367) were examined against a random sample of employees (n = 587). Linear regression was used to determine the risk of having high claims costs within four gender-specific age groups. A formula was then applied to determine that more than 43% of the cost of medical claims was associated with elevated risk. High-cost analysis accounts for the skewness in claims data and presents a clear case for work-site health promotion.","PeriodicalId":16617,"journal":{"name":"Journal of occupational medicine. : official publication of the Industrial Medical Association","volume":"3 1","pages":"1341-7"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"High-cost analysis. A closer look at the case for work-site health promotion.\",\"authors\":\"P. Kingery, C. Ellsworth, B. S. Corbett, R. Bowden, J. Brizzolara\",\"doi\":\"10.1097/00043764-199412000-00017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Studies linking medical costs to behavioral risk and risk-lowering often use means for comparisons, although claims data are highly skewed. The result overestimates and obscures the case for work-site health promotion. In this study, high-cost analysis is illustrated in a sample of university employees. Five risk factors were examined: cholesterol, blood pressure, cardiovascular fitness, body fat, and smoking status. Screened employees who released their claims (n = 367) were examined against a random sample of employees (n = 587). Linear regression was used to determine the risk of having high claims costs within four gender-specific age groups. A formula was then applied to determine that more than 43% of the cost of medical claims was associated with elevated risk. High-cost analysis accounts for the skewness in claims data and presents a clear case for work-site health promotion.\",\"PeriodicalId\":16617,\"journal\":{\"name\":\"Journal of occupational medicine. : official publication of the Industrial Medical Association\",\"volume\":\"3 1\",\"pages\":\"1341-7\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of occupational medicine. : official publication of the Industrial Medical Association\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/00043764-199412000-00017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of occupational medicine. : official publication of the Industrial Medical Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/00043764-199412000-00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-cost analysis. A closer look at the case for work-site health promotion.
Studies linking medical costs to behavioral risk and risk-lowering often use means for comparisons, although claims data are highly skewed. The result overestimates and obscures the case for work-site health promotion. In this study, high-cost analysis is illustrated in a sample of university employees. Five risk factors were examined: cholesterol, blood pressure, cardiovascular fitness, body fat, and smoking status. Screened employees who released their claims (n = 367) were examined against a random sample of employees (n = 587). Linear regression was used to determine the risk of having high claims costs within four gender-specific age groups. A formula was then applied to determine that more than 43% of the cost of medical claims was associated with elevated risk. High-cost analysis accounts for the skewness in claims data and presents a clear case for work-site health promotion.