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[Medical insurance estimation of risks].

The purpose of insurance medicine is to make a prognostic estimate of medical risk-factors in persons who apply for life, health, or accident insurance. Established risk-groups with a calculated average mortality and morbidity form the basis for premium rates and insurance terms. In most cases the applicant is accepted for insurance after a self-assessment of his health. Only around one per cent of the applications are refused, but there are cases in which the premium is raised, temporarily or permanently. It is often a matter of rough estimate, since the knowlege of the long-term prognosis for many diseases is incomplete. The insurance companies' rules for estimate of risk are revised at intervals of three or four years. The estimate of risk as regards life insurance has been gradually liberalised, while the medical conditions for health insurance have become stricter owing to an increase in the claims rate.

Coronary Disease↗

Resolving disparities in antidepressant treatment and quality-of-life outcomes between uninsured and insured primary care patients with depression.

BACKGROUND: Efforts to improve primary care depression treatment should penetrate to vulnerable uninsured populations. OBJECTIVE: To assess a primary care intervention's impact on treatment and quality-of-life outcomes in uninsured and insured depressed patients during the acute treatment phase. RESEARCH DESIGN: Twelve community primary care practices were randomized to 'enhanced' (intervention) and usual care conditions. Physicians, nurses and administrative staff in enhanced care practices received training to improve detection and management of depression. SUBJECTS: In 1996 to 1997, 383 nonelderly depressed patients who were either uninsured or covered by private insurance/Medicaid were enrolled; 343 (89.6%) completed six-month follow-up. MEASURES: Adequate pharmacotherapy (>or=3 months of antidepressants at therapeutic doses); adequate psychotherapy (>or=8 counseling visits); improvement in mental-health-related-quality-of-life (MHQOL), assessed by Mental Component Summary scale for SF-36. RESULTS: Multivariate results showed that 54.6% of uninsured enhanced care (UEC) patients received adequate pharmacotherapy, compared with 14.3% of uninsured usual care (UUC) patients (P = 0.0005); however, receipt of adequate psychotherapy was comparable between these two groups (18.2% UEC, 11.9% UUC; P = 0.42). Intervention effects on insured patients' treatment were modest to minimal. Among usual care patients, the insured had 5.4 points greater improvement in MHQOL at 6 months than the uninsured (12.4 points insured, 7.0 points uninsured; P = 0.02); however, among patients receiving the intervention, the insured and uninsured had comparable MHQOL improvement (12.3 points insured, 11.6 points uninsured; P = 0.76). CONCLUSIONS: The intervention improved antidepressant treatment rates in uninsured patients and helped resolve quality-of-life outcome disparities observed between insured and uninsured patients receiving usual care.

Adult↗

The association between socioeconomic status, health insurance coverage, and quality of life in men with prostate cancer.

The objective of this study was to examine the effect of socioeconomic status and insurance status on health-related quality of life (HRQOL) outcomes in men with prostate cancer. The design was a retrospective cohort study using multiple sites, including both academic and private practice settings. A cohort of 860 men with newly diagnosed, biopsy-proven prostate cancer of any stage was identified within CaPSURE, a longitudinal disease registry of prostate cancer patients. HRQOL was assessed with validated instruments, including the RAND 36-item Health Survey (SF-36) and the UCLA Prostate Cancer Index. Covariates included insurance status, education level, annual income, age, stage, comorbidity, Gleason grade, baseline PSA, marital status, ethnicity and primary treatment. HRQOL measurements were taken at 3-6-month intervals. Analysis of covariance was used to determine the effect of SES and insurance status on the HRQOL domains at baseline and over time. Patients with lower annual income had significantly lower baseline HRQOL scores in the all of the domains of the SF-36 and four of eight disease-specific HRQOL domains. No relationship was seen between annual income and HRQOL outcomes over time. Conversely, health insurance status was associated with HRQOL over time, but not at baseline. Health insurance status appears to have a unique effect on general HRQOL outcomes in men after treatment for prostate cancer. This study confirms the commonly held belief that patients of lower SES tend to have worse quality of life at baseline and following treatment for their disease. These findings have important ramifications for clinicians, researchers and policy makers.

Activities of Daily Living↗

Estimated economic costs of obesity to U.S. business.

OBJECTIVE: To estimate the economic costs of obesity to U.S. business. METHODS: Standard epidemiologic methods for risk attribution and techniques for ascertaining cost of illness were used to estimate obesity-attributable expenditures on selected employee benefits, including health, life, and disability insurance and paid sick leave by private-sector firms in the U.S. in 1994. Data were obtained from a variety of secondary sources, including the National Health Interview Survey, reports from the Bureau of Labor Statistics and other federal agencies, and the published literature. Attention was focused on employees between the ages of 25 and 64 years who were classified according to body mass index (BMI) as "nonobese" (BMI < 25 kg/m2), "mildly obese" (BMI = 25-28.9 kg/m2), or "moderately to severely obese" (BMI > or = 29 kg/m2). RESULTS: The cost of obesity to U.S. business in 1994 was estimated to total $12.7 billion, including $2.6 billion as a result of mild obesity and $10.1 billion due to moderate to severe obesity. Health insurance expenditures constituted $7.7 billion of the total amount, representing 43% of all spending by U.S. business on coronary heart disease, hypertension, type 2 diabetes, hypercholesterolemia, stroke, gallbladder disease, osteoarthritis of the knee, and endometrial cancer. Obesity-attributable business expenditures on paid sick leave, life insurance, and disability insurance amounted to $2.4 billion, $1.8 billion, and $800 million, respectively. CONCLUSIONS: The health-related economic cost of obesity to U.S. business is substantial, representing approximately 5% of total medical care costs. Further research is needed to determine the cost-effectiveness of worksite weight management programs and of other efforts to reduce the prevalence of obesity in the U.S. workforce.

Adult↗

Money for your life.

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HIV Infections↗