Publications by authors named "Preeti S Bajaj"

Background: While clinical pathways have been widely adopted to decrease variation in cancer treatment patterns, they do not always incorporate patient and family caregiver perspectives. We identified shared patient and family caregiver considerations influencing treatment preferences/decision making to inform development of a shared decision pathway.

Methods: We conducted qualitative interviews with women who completed initial definitive treatment for stage I-III breast cancer and their family caregivers.

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This observational study evaluated the effectiveness of nab-paclitaxel versus paclitaxel monotherapy as first-line (1L) treatment for metastatic triple-negative breast cancer (mTNBC). 200 patients from the US Flatiron Health electronic health record-derived database (mTNBC diagnosis, January 2011-October 2016) who received 1L nab-paclitaxel (n = 105) or paclitaxel (n = 95) monotherapy were included. Overall survival and time to next treatment were evaluated.

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Objectives: Risk-sharing agreements (RSAs) between drug manufacturers and payers link coverage and reimbursement to real-world performance or utilization of medical products. These arrangements have garnered considerable attention in recent years. However, greater use outside the United States raises questions as to why their use has been limited in the US private sector, and whether their use might increase in the evolving US healthcare system.

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Objectives: A recent phase III trial showed that patients with advanced non-small cell lung cancer (NSCLC) whose tumors harbor specific EGFR mutations significantly benefit from first-line treatment with erlotinib compared to chemotherapy. This study sought to estimate the budget impact if coverage for EGFR testing and erlotinib as first-line therapy were provided in a hypothetical 500,000-member managed care plan.

Methods: The budget impact model was developed from a US health plan perspective to evaluate administration of the EGFR test and treatment with erlotinib for EGFR-positive patients, compared to non-targeted treatment with chemotherapy.

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Purpose: We sought to assess the benefits, risks, and personal utility of factor V Leiden mutation testing to improve pregnancy outcomes and to assess the utility of decision-analytic modeling for complex outcomes in genomics.

Methods: We developed a model to evaluate factor V Leiden testing among women with a history of recurrent pregnancy loss, including heparin therapy during pregnancy in mutation-positive women. Outcomes included venous thromboembolism, major bleeds, pregnancy loss, maternal mortality, and quality-adjusted life-years.

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