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Background: Venous thromboembolism is a dreaded complication following microsurgical breast reconstruction. Although the high-risk nature of the procedure is well known, a thorough analysis of modifiable risk factors has not been performed. The purpose of this study was to analyze the association of such factors with the postoperative occurrence of venous thromboembolism longitudinally. Methods: Using the Truven MarketScan Database, a retrospective cohort study of women who underwent microsurgical breast reconstruction from 2007 to 2015 and who developed postoperative venous thromboembolism within 90 days of reconstruction was performed. Predictor variables included age, timing of reconstruction, body mass index, history of radiation therapy, history of venous thromboembolism, Elixhauser Comorbidity Index, and length of stay. Univariate analyses were performed, in addition to logistic and zero-inflated Poisson regressions, to evaluate predictors of venous thromboembolism and changes in venous thromboembolism over the study period, respectively. Results: Twelve thousand seven hundred seventy-eight women were identified, of which 167 (1.3 percent) developed venous thromboembolism. The majority of venous thromboembolisms (67.1 percent) occurred following discharge, with no significant change from 2007 to 2015. Significant predictors of venous thromboembolism included Elixhauser score (p < 0.01), history of venous thromboembolism (p < 0.03), and length of stay (p < 0.001). Compared to patients who developed a venous thromboembolism during the inpatient stay, patients who developed a postdischarge venous thromboembolism had a lower mean Elixhauser score (p < 0.001). Conclusions: Postoperative venous thromboembolism continues to be an inadequately addressed problem, as evidenced by a stable incidence over the study period. Identification of modifiable risk factors, such as length of stay, provides potential avenues for intervention. As the majority of venous thromboembolisms occur following discharge, future studies are warranted to investigate the role for an intervention in this period. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.

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Objectives: We describe a comprehensive care model for Alzheimer's disease (AD) that improves value within 1-3 years after implementation by leveraging targeted outpatient chronic care management, cognitively protective acute care, and timely caregiver support. Design/Setting/Participants: Using current best evidence, expert opinion, and macroeconomic modeling, we designed a comprehensive care model for AD that improves the quality of care while reducing total per-capita healthcare spending by more than 15%. Measurements: Cost savings were measured as reduced spending by payers. Cost estimates were derived from medical literature and national databases including both public and private US payers. All estimates reflect the value in 2015 dollars using a consumer price index (CPI) inflation calculator. Outcome estimates were determined at year 2, accounting for implementation and steady-state intervention costs.

Rising health care costs and quality demands have driven both the Centers for Medicare and Medicaid Services and the private sector to seek innovations in health system design by placing institutions at financial risk. Novel care models, such as bundled reimbursement, aim to boost value though quality improvement and cost reduction. The Center for Medicare and Medicaid Innovation is leading the charge in this area with multiple pilots and mandates, including Comprehensive Care for Joint Replacement. Other high-cost and high-volume procedures could be considered for bundling in the future, including breast reconstruction. In this article, conceptual considerations surrounding bundling of breast reconstruction are discussed.