Comparative effectiveness research (CER) is intended to measure how alternative approaches to health care affect health outcomes. CER has the potential to reduce expenditures by limiting the use of both ineffective care and care that is no more effective than less costly alternatives. We propose to study the benefits that might accrue to Medicare from the application of CER to six high- priority medical areas.
Our specific aims are to: 1. Identify areas of CER that have the greatest potential to improve the efficiency and appropriateness of care delivered to Medicare beneficiaries. 2. Estimate (long-term) incremental expenditures attributable to the use of competing strategies in these high-priority clinical areas. 3. Determine the expenditure implications for Medicare that would result from the adoption of clinical strategies supported by CER criteria, including cost-effectiveness, for each high-priority area, and to describe policy options (e.g. reference pricing, bundled payments, etc.) for implementing these findings for Medicare. Our analyses are principally based on complete Medicare claims files for Parts A and B from years 1991 to 2009 and Part D from 2006 to 2009. Data for the analysis of cancer management (e.g., localized prostate cancer), will include SEER-Medicare linked data. We will first select the medical areas for further research based upon a prioritization process considering, for each potential area of investigation, effects on total Medicare expenditures, potential for growth, and evidence of variability or uncertainty in clinical approaches. A distinguished expert Advisory Committee, representing health care, health insurance, and consumer perspectives, will provide close guidance for this component and several other aspects of the project. For each high-priority medical area selected, we will identify the relevant cohort from the Medicare claims files (or SEER-Medicare files) and assign individuals to management strategies based upon treatment or diagnostic interventions received. In addition to descriptive statistical analyses (frequency of the use of each strategy, rates of important outcomes, and total and related health expenditures), the project will include multivariate statistical analysis to investigate the relationship between strategy, outcome (including expenditures) and key variables. Where possible, we will use instrumental variable analysis and related techniques to control for bias in the selection of management strategies. Separate models will be estimated for important subgroups. We will estimate the potential consequences to Medicare of implementing our findings for each medical area by constructing a population model that shifts (with scenarios of varying degrees of adoption) patients to the strategy(ies) supported by our findings (least costly with equivalent outcomes or additional cost worth the incremental benefit based on cost-effectiveness analysis). Finally, we will investigate approaches that Medicare might use to implement these findings, including payment reform options such as bundled payments, reference pricing and value-based copayments.
This project identifies clinical strategies supported by comparative-effectiveness research that have the potential, through greater use, to decrease costs to Medicare without adversely affecting health outcomes. It estimates the long-term impact on expenditures of shifting current clinical practices to these strategies and evaluates options for implementing these findings.
|Hakim, Ibrahim; Hathi, Sejal; Nair, Archana et al. (2017) Electronic health records and the frequency of diagnostic test orders. Am J Manag Care 23:e16-e23|
|Lin, Eugene; MaCurdy, Thomas; Bhattacharya, Jay (2017) The Medicare Access and CHIP Reauthorization Act: Implications for Nephrology. J Am Soc Nephrol 28:2590-2596|
|Richman, Ilana; Asch, Steven M; Bendavid, Eran et al. (2017) Breast Density Notification Legislation and Breast Cancer Stage at Diagnosis: Early Evidence from the SEER Registry. J Gen Intern Med 32:603-609|
|Kwong, Jereen Z; Weng, Yingjie; Finnegan, Micaela et al. (2017) Effect of Medicare's Nonpayment Policy on Surgical Site Infections Following Orthopedic Procedures. Infect Control Hosp Epidemiol 38:817-822|
|Erickson, Kevin F; Zheng, Yuanchao; Winkelmayer, Wolfgang C et al. (2017) Consolidation in the Dialysis Industry, Patient Choice, and Local Market Competition. Clin J Am Soc Nephrol 12:536-545|
|Tran, Elaine My Tien; Bhattacharya, Jay; Pershing, Suzann (2017) Self-reported Receipt of Dilated Fundus Examinations Among Patients With Diabetes: Medicare Expenditure Panel Survey, 2002-2013. Am J Ophthalmol 179:18-24|
|Chen, Brian K; Jalal, Hawre; Hashimoto, Hideki et al. (2016) Forecasting Trends in Disability in a Super-Aging Society: Adapting the Future Elderly Model to Japan. J Econ Ageing 8:42-51|
|Richman, Ilana; Asch, Steven M; Bhattacharya, Jay et al. (2016) Colorectal Cancer Screening in the Era of the Affordable Care Act. J Gen Intern Med 31:315-20|
|Erickson, Kevin F; Winkelmayer, Wolfgang C; Chertow, Glenn M et al. (2016) Effects of physician payment reform on provision of home dialysis. Am J Manag Care 22:e215-23|
|Erickson, Kevin F; Mell, Matthew W; Winkelmayer, Wolfgang C et al. (2015) Provider visit frequency and vascular access interventions in hemodialysis. Clin J Am Soc Nephrol 10:269-77|
Showing the most recent 10 out of 20 publications