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1.
J Occup Environ Med ; 42(11): 1060-9, 2000 Nov.
Article in English | MEDLINE | ID: mdl-11094784

ABSTRACT

There is a general lack of health-related research focusing on gender-specific differences within a working population. This research attempts to address that void. Our study relied on the Health Enhancement Research Organization (HERO) database, which consists of claims, enrollment information, and health risk data for 39,999 employees of six large employers. The research objective was to determine the gender-specific association between coronary heart disease (CHD) and (1) the prevalence of modifiable health risks and (2) medical expenditures. To accomplish this, the International Classification of Diseases, 9th Revision-Clinical Modification and Current Procedural Terminology codes were used to identify 2452 employees with CHD within the HERO database. These individuals made up the study group, which included 66% male and 34% female participants. Health risk data were obtained from voluntary participation in a health risk appraisal and biometric evaluation provided by the employers. Health risks evaluated were tobacco use, hypertension, obesity, elevated cholesterol, high blood glucose, sedentary lifestyle, stress, depression, and excessive use of alcohol. Descriptive and multivariate statistical techniques were used to analyze the HERO database. We found that obesity was the most consistent predictor of CHD. It was number one (of 10 health risks) in the male and female group, number two in the male-only group, and number one in the female-only group. High stress was the second most consistent predictor. There was no such consistency relative to medical expenditures. This lack of consistency across the male and female groups relative to the association between health risks and medical expenditures was demonstrated for nearly all other health risks evaluated. This study suggests that within a group of employees with CHD, there are important similarities and differences between men and women with respect to the prevalence of risk factors and the association between health risks and medical expenditures.


Subject(s)
Coronary Disease/etiology , Health Behavior , Health Expenditures/statistics & numerical data , Adult , Coronary Disease/epidemiology , Female , Humans , Life Style , Logistic Models , Male , Middle Aged , Prevalence , Risk Factors , Sex Factors
3.
Am J Health Promot ; 15(1): 45-52, 2000.
Article in English | MEDLINE | ID: mdl-11184118

ABSTRACT

PURPOSE: To assess the relationship between modifiable health risks and total health care expenditures for a large employee group. DESIGN: Risk data were collected through voluntary participation in health risk assessment (HRA) and worksite biometric screenings and were linked at the individual level to health care plan enrollment and expenditure data from employers' fee-for-service plans over the 6-year study period. SETTING: The setting was worksite health promotion programs sponsored by six large private-sector and public-sector employers. SUBJECTS: Of the 50% of employees who completed the HRA, 46,026 (74.7%) met all inclusion criteria for the analysis. MEASURES: Eleven risk factors (exercise, alcohol use, eating, current and former tobacco use, depression, stress, blood pressure, cholesterol, weight, and blood glucose) were dichotomized into high-risk and lower-risk levels. The association between risks and expenditures was estimated using a two-part regression model, controlling for demographics and other confounders. Risk prevalence data were used to estimate group-level impact of risks on expenditures. RESULTS: Risk factors were associated with 25% of total expenditures. Stress was the most costly factor, with tobacco use, overweight, and lack of exercise also being linked to substantial expenditures. CONCLUSIONS: Modifiable risk factors contribute substantially to overall health care expenditures. Health promotion programs that reduce these risks may be beneficial for employers in controlling health care costs.


Subject(s)
Health Behavior , Health Benefit Plans, Employee/economics , Health Expenditures , Health Promotion/economics , Occupational Health Services/economics , Adult , Female , Humans , Male , Middle Aged
4.
Am J Health Promot ; 15(1): 35-44, 2000.
Article in English | MEDLINE | ID: mdl-11184117

ABSTRACT

PURPOSE: This study predicts medical care expenditures over 10 years for Union Pacific Railroad (UPRR) under alternative health risk factor scenarios for the UPRR workforce. DESIGN: This paper describes the development of an economic forecasting model to predict medical care expenditures assuming four different scenarios of population risk. The variables used to predict medical care expenditures are employee demographics and health risk profiles. SETTING: UPRR is a transportation company with more than 56,000 employees in 25 states west and south of the Mississippi River. SUBJECTS: Employees of UPRR. MEASURES: Intermediate outcomes included health risk measures related to exercise patterns, body weight, eating habits, smoking, alcohol consumption, total cholesterol, blood glucose, blood pressure, stress, and depression. Major outcome measures included projected total annual payments by UPRR for medical care services for the decade following 1998. RESULTS: The UPRR work force is projected to grow by 500 employees per year over the 10-year study period. The average age is expected to increase from 44 to 48 years. Without further health promotion intervention, 7 of the 11 risk factors assessed would likely worsen among UPRR's workforce. Medical care cost increases are projected to range from $22.2 million to $99.6 million in constant 1998 dollars over the next decade, depending on the effectiveness of risk factor modification programs. With an expected health promotion budget averaging $1.9 million annually over 10 years, health risks must decline at least 0.09% per year for the program to pay for itself. CONCLUSIONS: Estimating various risk and cost scenarios can facilitate program planning and produce an economic justification for worksite health programs.


Subject(s)
Health Behavior , Health Expenditures/trends , Health Promotion/economics , Life Style , Occupational Health Services/economics , Adult , Cost Savings , Female , Forecasting , Health Benefit Plans, Employee/economics , Humans , Male , Middle Aged , Models, Economic , Risk-Taking
6.
J Occup Environ Med ; 40(10): 843-54, 1998 Oct.
Article in English | MEDLINE | ID: mdl-9800168

ABSTRACT

This investigation estimates the impact of ten modifiable health risk behaviors and measures and their impact on health care expenditures, controlling for other measured risk and demographic factors. Retrospective two-stage multivariate analyses, including logistic and linear regression models, were used to follow up 46,026 employees from six large health care purchasers for up to 3 years after they completed an initial health risk appraisal. These participants contributed 113,963 person-years of experience. Results show that employees at high risk for poor health outcomes had significantly higher expenditures than did subjects at lower risk in seven of ten risk categories: those who reported themselves as depressed (70% higher expenditures), at high stress (46%), with high blood glucose levels (35%), at extremely high or low body weight (21%), former (20%) and current (14%) tobacco users, with high blood pressure (12%), and with sedentary lifestyle (10%). These same risk factors were found to be associated with a higher likelihood of having extremely high (outlier) expenditures. Employees with multiple risk profiles for specific disease outcomes had higher expenditures than did those without these profiles for the following diseases: heart disease (228% higher expenditures), psychosocial problems (147%), and stroke (85%). Compared with prior studies, the results provide more precise estimates of the incremental medical expenditures associated with common modifiable risk factors after we controlled for multiple risk conditions and demographic confounders. The authors conclude that common modifiable health risks are associated with short-term increases in the likelihood of incurring health expenditures and in the magnitude of those expenditures.


Subject(s)
Health Behavior , Health Expenditures/statistics & numerical data , Health Promotion/economics , Adolescent , Adult , Female , Humans , Life Style , Male , Middle Aged , Models, Theoretical , Retrospective Studies , Risk Factors , Risk-Taking
11.
Am J Health Promot ; 7(4): 296-303, 1993.
Article in English | MEDLINE | ID: mdl-10148710

ABSTRACT

Double digit annual increases in the cost of medical benefits represent one of the major financial challenges for many private and public sector employers. Gaining greater control is a top priority. Since the procurement, administration, and delivery of employee/dependent medical care is a highly complex venture, it is unlikely that any one activity will contain costs effectively. This report examines a comprehensive cost management effort for the municipal government of the city of Birmingham, Alabama, which included health promotion, medical plan redesigning, managed care, and "how to use the medical system" education programs. The $3 million project was funded by the National Institutes of Health and the employer and conducted from 1985 to 1990. In 1985, medical benefits expenses for the 3,586 employees were $2,047 per employee which was about $400 above the state of Alabama per employee average. In 1990, for 4,000 employees, it was $2,075 which was $922 below the state average. While the project design does not permit a precise evaluation of the exact impact of each of the cost containment activities, attempts are made to estimate their impact. Several health promotion activities, which may be unique to this project, including the all-employee medical screen, are presented and evaluated.


Subject(s)
Health Benefit Plans, Employee/economics , Health Promotion/methods , Insurance Benefits/economics , Insurance, Major Medical/economics , Managed Care Programs/economics , Alabama , Cost Control , Cost-Benefit Analysis , Follow-Up Studies , Health Benefit Plans, Employee/trends , Health Care Costs/trends , Humans , Insurance Benefits/trends , Insurance, Major Medical/trends , Managed Care Programs/trends , Pilot Projects , Program Development , Program Evaluation
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