P. Kingery, C. Ellsworth, B. S. Corbett, R. Bowden, J. Brizzolara
{"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}
引用次数: 23
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.