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How Might Identification of Payer Mix in Palliative Care and Supportive Oncology Affect Resource Allocation for Hospital Systems in the SE Kimberly Curseen1,

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Presentation on theme: "How Might Identification of Payer Mix in Palliative Care and Supportive Oncology Affect Resource Allocation for Hospital Systems in the SE Kimberly Curseen1,"— Presentation transcript:

1 How Might Identification of Payer Mix in Palliative Care and Supportive Oncology Affect Resource Allocation for Hospital Systems in the SE Kimberly Curseen1, Karen Armstrong1, Ali John Zarrabi1, Tammie Quest1, 1 Emory Palliative Care Center Introduction Research suggests that payer mix impacts hospital quality outcomes. outpatient palliative/supportive oncology practice in an urban Southern academic medical center. Results We found significant differences (p < 0.05) for patients with LOS ≥ 30 days, discharge disposition to hospice or other, readmissions and payer mix for private insurance compared to government insurance. Our patients with government insurance were more likely to have LOS < 30 days, more than five readmissions, and discharge to hospice compared to patients with commercial insurance.  Results Supportive Oncology Cohort Table 1. Characteristics of SOC Patients (N = 3137) Payer Mix Government 23.32% Commercial 76.05% Discharge Disposition Expired 10.45% Discharged hospice 89.55% Length of Stay mean SD (15.63) Demographics white 48.39% Non-white 51.61% Age mean SD (15.23) 17.9% 9.1% 10.6% Other 7.1% SD = standard deviation Study Objective We investigated how payer mix informs financial planning important to developing and sustaining programs for new Palliative/Supportive oncology programs in the Southeast. Methods Study Design, Setting and Population We conducted a chart review of supportive oncology patients from (n=3137) using data restricted to ICD10 codes for solid tumors. We performed Chi Squared tests to examine readmissions, insurance status, and discharge disposition in a Supportive Oncology Cohort. Summary and Conclusions The findings provide evidence that we need further investigation to examine potential interactions of sociodemographic factors on payer mix and discharge disposition. Findings may inform financial planning important to developing and sustaining programs for new Palliative/Supportive oncology programs in the Southeast.


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