A More Generalizable Method to Evaluate the Association between Commonly Reported Health Risks and Health Care Expenditures among Employers of All Sizes

Journal of Occupational and Environmental Medicine

Volumn 55, Issue 10, 2013, Pages 1179-1185

  White, John ^a   Hartley, Stephen K ^a   Musich, Shirley ^a   Hawkins, Kevin ^a   Ozminkowski, Ronald J ^a  

^a OPTUM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHOLESTEROL;

ADULT; ALCOHOL CONSUMPTION; ARTICLE; BLOOD PRESSURE; BODY WEIGHT; COST CONTROL; DIETARY INTAKE; DRUG USE; EMPLOYEE; FEMALE; HEALTH CARE COST; HEALTH HAZARD; HEALTH INSURANCE; HUMAN; LEISURE; MALE; PHYSICAL INACTIVITY; RISK ASSESSMENT; RISK MANAGEMENT; SCORING SYSTEM; SMOKING; STRESS;

ADOLESCENT; ADULT; CROSS-SECTIONAL STUDIES; EMPLOYER HEALTH COSTS; FEMALE; HEALTH BEHAVIOR; HEALTH CARE COSTS; HEALTH EXPENDITURES; HUMANS; MALE; MIDDLE AGED; PROPENSITY SCORE; REGRESSION ANALYSIS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; YOUNG ADULT;

EID: 84885658039     PISSN: 10762752     EISSN: 15365948     Source Type: Journal    
DOI: 10.1097/JOM.0b013e31829b2833     Document Type: Article

References (26)

1. Anderson G. Making the Case for Ongoing Care. Princeton, NJ: RobertWood Johnson Foundation; 2010.
2. Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999-2008. JAMA. 2010;303:235-241.
3. FreidVM, BernsteinAB, Bush MA.Multiple chronic conditions among adults aged 45 and over: trends over the past 10 years. NCHS Data Brief. 2012: 1-8.
4. Narayan KM, Boyle JP, Thompson TJ, Sorensen SW, Williamson DF. Lifetime risk for diabetes mellitus in the United States. JAMA. 2003;290:1884-1890.
5. RogerVL, Go AS, Lloyd-JonesDM, et al.Heart disease and stroke statistics-2011 update: a report from the American Heart Association. Circulation. 2011;123:e18-e209.
6. Vogeli C, Shields AE, Lee TA, et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen InternMed. 2007;22(suppl 3):391-395.
7. Centers for Disease Control and Prevention and The Merck Foundation. The State of Aging and Health in America 2007. Whitehouse Station, NJ: The Merck Company Foundation; 2007.
8. Anderson DR, Whitmer RW, Goetzel RZ, et al. The relationship between modifiable health risks and group-level health care expenditures. Health EnhancementResearch Organization (HERO)Research Committee.AmJHealth Promot. 2000;15:45-52.
9. Bland PC, An L, Foldes SS, Garrett N, Alesci NL. Modifiable health behaviors and short-term medical costs among health plan members. Am J Health Promot. 2009;23:265-273.
10. Burton WN, Chen CY, Conti DJ, Schultz AB, Edington DW. Measuring the relationship between employees' health risk factors and corporate pharmaceutical expenditures. J Occup Environ Med. 2003;45:793-802.
11. Edington DW. Emerging research: a view from one research center. Am J Health Promot. 2001;15:341-349.
12. Goetzel RZ, Anderson DR, Whitmer RW, Ozminkowski RJ, Dunn RL, Wasserman J. The relationship between modifiable health risks and health care expenditures. An analysis of the multi-employer HERO health risk and cost database. J Occup Environ Med. 1998;40:843-854.
13. Goetzel RZ, Carls GS, Wang S, et al. The relationship between modifiable health risk factors and medical expenditures, absenteeism, short-term disability, and presenteeism among employees at Novartis. J Occup Environ Med. 2009;51:487-499.
14. Goetzel RZ, Pei X, Tabrizi MJ, et al. Ten modifiable health risk factors are linked to more than one-fifth of employer-employee health care spending. Health Aff (Millwood). 2012;31:2474-2484.
15. Henke RM, Carls GS, Short ME, et al. The relationship between health risks and health and productivity costs among employees at Pepsi Bottling Group. J Occup Environ Med. 2010;52:519-527.
16. Kowlessar NM, Goetzel RZ, Carls GS, Tabrizi MJ, Guindon A. The relationship between 11 health risks and medical and productivity costs for a large employer. J Occup Environ Med. 2011;53:468-477.
17. Musich S, Hook D, Barnett T, Edington DW. The association between health risk status and health care costs among themembership of anAustralian health plan. Health Promot Int. 2003;18:57-65.
18. Pronk NP, Goodman MJ, O'Connor PJ, Martinson BC. Relationship between modifiable health risks and short-term health care charges. JAMA. 1999;282:2235-2239.
19. Wang F, McDonald T, Bender J, Reffitt B, Miller A, Edington DW. Association of healthcare costs with per unit body mass index increase. J Occup Environ Med. 2006;48:668-674.
20. Yen LT, EdingtonDW,Witting P. Prediction of prospectivemedical claims and absenteeism costs for 1284 hourly workers from a manufacturing company. J Occup Med. 1992;34:428-435.
21. US Census Bureau. Statistics about small businesses. Available at: http:// www.census.gov/econ/smallbus.html. Accessed November 28, 2012.
22. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373-383.
23. Faries DE, Obenchain RL, Haro JM, Leon AC. Analysis of observational healthcare data using SAS. Cary, NC: SAS Institute, Inc; 2010.
24. Diehr P, Yanez D, Ash A, Hornbrook M, Lin DY. Methods for analyzing health care utilization and costs. Annu Rev Public Health. 1999;20:125-144.
25. Anderson DR, Staufacker MJ. The impact of worksite-based health risk appraisal on health-related outcomes: a review of the literature. Am J Health Promot. 1996;10:499-508.
26. Short ME, Goetzel RZ, Pei X, et al. How accurate are self-reports- Analysis of self-reported health care utilization and absence when compared with administrative data. J Occup Environ Med. 2009;51:786-796.