This study quantifies age‐specific and lifetime costs for overweight (BMI: 25–29.9), obese I (BMI: 30–34.9), and obese II/III (BMI: >35) adults separately by race/gender strata. We use these results to demonstrate why private sector firms are likely to underinvest in obesity prevention efforts. Not only does the existence of Medicare reduce the economic burden that obesity imposes on private payers, but, from the perspective of a 20‐year‐old obese adult, the short‐term costs of obesity are small. This suggests that legislation that subsidizes wellness programs and/or mandates coverage for obesity treatments might make all firms better off. Ironically, Medicare has a greater incentive to prevent obesity because when an obese 65 year old enters the program, his/her costs are immediate and higher than costs for normal weight individuals.
This study presents nationally representative estimates of individual and aggregate years‐of‐life‐lost (YLLs) associated with overweight and three categories of obesity separately by age, race, smoking status, and gender strata. Using proportional hazards analysis and data from the National Health Interview Survey (NHIS) Linked Mortality Files, we estimated life expectancies for each BMI strata and quantified YLLs by comparing differences between each strata and the normal BMI reference group. Our results provide further evidence that overweight and mild obesity are not associated with a reduction in life expectancy. However, higher BMI categories are associated with lower expected survival. In aggregate, excess BMI is responsible for ∼95 million YLLs. White females account for more than two‐thirds of the aggregate YLLs. Unless something is done to reduce the rising prevalence of those with BMIs >35, or to mitigate the impact of obesity or its correlates on YLLs, expected life expectancy for US adults may decrease in the future.
Objective
To determine whether biennial eye evaluation or telemedicine screening are cost-effective alternatives to current recommendations for the estimated 10 million people aged 30 to 84 with diabetes but no or minimal diabetic retinopathy.
Data Sources
United Kingdom Prospective Diabetes Study, National Health and Nutrition Examination Survey, American Academy of Ophthalmology Preferred Practice Patterns, Medicare Payment Schedule.
Study Design
Cost-effectiveness Monte Carlo simulation.
Data Collection/Extraction Methods
Literature review, analysis of existing surveys.
Principal Findings
Biennial eye evaluation was the most cost-effective treatment option when the ability to detect other eye conditions was included in the model. Telemedicine was most cost-effective when other eye conditions were not considered or when telemedicine was assumed to detect refractive error. The current annual eye evaluation recommendation was costly compared to either treatment alternative. Self-referral was most cost-effective up to a willingness to pay (WTP) of $37,600, with either biennial or annual evaluation most cost-effective at higher WTP levels.
Conclusions
Annual eye evaluations are costly and add little benefit compared to either plausible alternative. More research on the ability of telemedicine to detect other eye conditions is needed to determine whether it is more cost-effective than biennial eye evaluation.
Objectives
Patient navigation (PN) services have been shown to improve cancer screening in disparate populations. This study estimates the cost-effectiveness of implementing PN services within the National Breast and Cervical Cancer Early Detection Program (NBCCEDP).
Methods
We adapted a breast cancer simulation model to estimate a population cohort of women aged 40–64 years from the NBCCEDP through their lifetime. We incorporated their screening frequency and screening and diagnostic costs.
Results
Within the NBCCEDP, Program with PN (vs. No PN) resulted in a greater number of mammograms per woman (4.23 vs. 4.14), lower lifetime mortality from breast cancer (3.53% vs. 3.61%), and fewer missed diagnostic resolution per woman (0.017 vs. 0.025). The estimated incremental cost-effectiveness ratios for a Program with PN was $32,531 per quality-adjusted life-years relative to Program with No PN.
Conclusions
Incorporating PN services within the NBCCEDP may be a cost-effective way of improving adherence to screening and diagnostic resolution for women who have abnormal results from screening mammography. Our study highlights the value of supportive services such as PN in improving the quality of care offered within the NBCCEDP.
This study presented a novel approach for incorporating indirect costs into cost-benefit analyses. Application to gastric banding revealed that inclusion of indirect costs improves the financial outlook for the procedure.
Introduction
Breast cancer in women aged 18–44 years accounts for approximately 27,000 newly diagnosed cases and 3,000 deaths annually. When tumors are diagnosed, they are usually aggressive, resulting in expensive treatment costs. The purpose of this study is to estimate the prevalent medical costs attributable to breast cancer treatment among privately insured younger women.
Methods
Data from the 2006 MarketScan® database representing claims for privately insured younger women were used. Costs for younger breast cancer patients were compared with a matched sample of younger women without breast cancer, overall and for an active treatment subsample. Analyses were conducted in 2013 with medical care costs expressed in 2012 U.S. dollars.
Results
Younger women with breast cancer incurred an estimated $19,435 (SE=$415) in additional direct medical care costs per person per year compared with younger women without breast cancer. Outpatient expenditures comprised 94% of the total estimated costs ($18,344 [SE=$396]). Inpatient costs were $43 (SE=$10) higher and prescription drug costs were $1,048 (SE=$64) higher for younger women with breast cancer than in younger women without breast cancer. For women in active treatment, the burden was more than twice as high ($52,542 [SE=$977]).
Conclusions
These estimates suggest that breast cancer is a costly illness to treat among younger, privately insured women. This underscores the potential financial vulnerability of women in this age group and the importance of health insurance during this time in life.
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