The NCI K25 award is specifically designed to support quantitative scientists whose skills have not yet focused primarily on questions of cancer and who wish to become independent investigators and leaders of interdisciplinary cancer research teams. As an econometrician, the award would enable me to receive necessary training and mentoring in cancer research, support my development as an independent investigator, and contribute to the field of cancer economics through the Obesity, Aging, and Cancer Cost (OACC) Study. The OACC Study's primary goal is to investigate the relationship between obesity and the use and cost of breast cancer services. It is hypothesized that obesity among women over age 65 increases the use of breast cancer services and raises the cost of screening, diagnostic, treatment and hospice episodes, because of its effect on breast cancer risk, detection, and progression.
Specific aims i nclude: (1) to determine the relationship between obesity and the use and cost of mammography and mammography-related services as measured by screening, diagnostic, and follow-up services; (2) to determine the relationship between obesity and the use and cost of breast cancer treatment as measured by chemotherapy, radiation therapy, breast surgery, and related services; and (3) to determine the relationship between obesity and the use and cost of breast cancer hospice. ? ? Using secondary data from the Medicare Current Beneficiary Survey (MCBS), The New Mexico Mammography Project, The New Mexico Tumor Registry, and SEER-Medicare, we will estimate Cox proportional hazard models on the time to episode of care and exponential conditional mean models on the cost of episode to address a timely question in cancer economics: what is the effect of obesity on the economic burden of breast cancer borne by Medicare? The increasing prevalence of obesity, the aging of United States, and the mounting emphasis on cost containment will exacerbate demands on scarce cancer resources nationally and in the Southwest. Greater allocation of resources toward obesity prevention and early diagnosis of breast cancer among obese women may save cancer resources which can then be freed to improve breast cancer screening, diagnostics, treatment, and palliation for all patients. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Mentored Quantitative Research Career Development Award (K25)
Project #
5K25CA122176-02
Application #
7282960
Study Section
Subcommittee G - Education (NCI)
Program Officer
Jakowlew, Sonia B
Project Start
2006-09-01
Project End
2007-12-31
Budget Start
2007-09-17
Budget End
2007-12-31
Support Year
2
Fiscal Year
2007
Total Cost
$72,550
Indirect Cost
Name
University of Wisconsin Madison
Department
Family Medicine
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Craig, Benjamin M; Han, Gang; Munkin, Murat K et al. (2016) Simulating the contribution of a biospecimen and clinical data repository in a phase II clinical trial: A value of information analysis. Stat Methods Med Res 25:1303-12
Craig, Benjamin M (2016) Unchained melody: revisiting the estimation of SF-6D values. Eur J Health Econ 17:865-73
Craig, Benjamin M; Pickard, A Simon; Stolk, Elly et al. (2013) US valuation of the SF-6D. Med Decis Making 33:793-803
Craig, Benjamin M; Rollison, Dana E; List, Alan F et al. (2012) Underreporting of myeloid malignancies by United States cancer registries. Cancer Epidemiol Biomarkers Prev 21:474-81
Tarn, Derjung M; Young, Henry N; Craig, Benjamin M (2012) Development of the patient approach and views toward healthcare communication (PAV-COM) measure among older adults. BMC Health Serv Res 12:289
Craig, Benjamin M; Rollison, Dana E; List, Alan F et al. (2011) Diagnostic testing, treatment, cost of care, and survival among registered and non-registered patients with myelodysplastic syndromes. Leuk Res 35:1453-6
Cogle, Christopher R; Craig, Benjamin M; Rollison, Dana E et al. (2011) Incidence of the myelodysplastic syndromes using a novel claims-based algorithm: high number of uncaptured cases by cancer registries. Blood 117:7121-5
Craig, Benjamin M; Busschbach, Jan J V (2011) Toward a more universal approach in health valuation. Health Econ 20:864-75
Rowen, Donna; Brazier, John; Young, Tracey et al. (2011) Deriving a preference-based measure for cancer using the EORTC QLQ-C30. Value Health 14:721-31
Adams, Roisin; Craig, Benjamin M; Walsh, Cathal D et al. (2011) The impact of a revised EQ-5D population scoring on preference-based utility scores in an inflammatory arthritis cohort. Value Health 14:921-7

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