Abstract C001: Racial and hospital factors affecting palliative care utilization in advanced cancer: An analysis of the NIS database

Abstract Background: Palliative care significantly enhances the quality of life for patients with advanced cancer by addressing symptom management and end-of-life needs. Despite its benefits, palliative care utilization remains inconsistent. This study investigates factors associated with palliative care access among advanced cancer patients using data from the 2020 National Inpatient Sample (NIS). Methods: We analyzed data from the 2020 NIS to evaluate palliative care utilization among patients with metastatic cancer (ICD-10 codes C78, C79, C77) and cancers of unknown primary origin (C80). Descriptive statistics, chi-square tests, and logistic regression models were used to examine associations between palliative care access and demographic, clinical, and hospital characteristics. Analyses were conducted using R version 4.5.0. Results: This study analyzed 4,098 advanced cancer patients from the 2020 NIS to investigate palliative care utilization. Of these, 1,044 patients (25.5%) received palliative care. Patients receiving palliative care had a longer mean length of hospital stay (8.91 days vs. 7.97 days, β = 0.92, p = 0.0027), but the difference in total hospital charges was not significantly different ($119,029 vs. $116,440, p = 0.685). Logistic regression showed hospital teaching status as a significant predictor of improved palliative care access/utilization (OR = 1.75, p = 0.0418). Regarding race, 65.4% of White patients received palliative care, compared to 26.3% of Black, 27.8% of Hispanic, and 31.6% of other racial groups. Race was overall not a significant predictor of palliative care utilization (p = 0.353). Sex was also not associated with any significant difference in utilization of palliative care (p = 0.382). Hospital teaching status was the only key factor associated with the likelihood of receiving palliative care. Conclusion: This study highlights disparities in palliative care use among advanced cancer patients, with hospital teaching status emerging as a key factor. Race and gender were not significant predictors. Addressing institutional factors may help improve access across hospital types. Citation Format: Muhammad Ahtizaz. Ahmed, Wania Ur. Rehman, Muhammad Talha . Shaukat, Eeshal Fatima, Saim Yousaf, Muneeb Ur. Rehman, Aleenah Mohsin, Fizza Mohsin, Aqeeb Ur. Rehman, Muhammad Salman . Faisal. Racial and hospital factors affecting palliative care utilization in advanced cancer: An analysis of the NIS database [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr C001.

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Journal
Cancer Epidemiology Biomarkers & Prevention
Published
2025-09-18
DOI
https://doi.org/10.1158/1538-7755.disp25-c001
Primary Topic
Palliative Care and End-of-Life Issues
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article
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article

Abstract C001: Racial and hospital factors affecting palliative care utilization in advanced cancer: An analysis of the NIS database

Fizza Mohsin, Aleenah Mohsin, Muhammad Muneeb Ahmed, Suhail Yousaf et al.
Cancer Epidemiology Biomarkers & Prevention
Palliative Care and End-of-Life Issues
article

Abstract C001: Racial and hospital factors affecting palliative care utilization in advanced cancer: An analysis of the NIS database

Fizza Mohsin, Aleenah Mohsin, Muhammad Muneeb Ahmed, Suhail Yousaf, Aqeeb Ur Rehman, Eeshal Fatima, Muhammad Talha Shaukat, Muhammad Salman Faisal, Muneeb ur Rehman, Wania Rehman
article en

Abstract

Abstract Background: Palliative care significantly enhances the quality of life for patients with advanced cancer by addressing symptom management and end-of-life needs. Despite its benefits, palliative care utilization remains inconsistent. This study investigates factors associated with palliative care access among advanced cancer patients using data from the 2020 National Inpatient Sample (NIS). Methods: We analyzed data from the 2020 NIS to evaluate palliative care utilization among patients with metastatic cancer (ICD-10 codes C78, C79, C77) and cancers of unknown primary origin (C80). Descriptive statistics, chi-square tests, and logistic regression models were used to examine associations between palliative care access and demographic, clinical, and hospital characteristics. Analyses were conducted using R version 4.5.0. Results: This study analyzed 4,098 advanced cancer patients from the 2020 NIS to investigate palliative care utilization. Of these, 1,044 patients (25.5%) received palliative care. Patients receiving palliative care had a longer mean length of hospital stay (8.91 days vs. 7.97 days, β = 0.92, p = 0.0027), but the difference in total hospital charges was not significantly different ($119,029 vs. $116,440, p = 0.685). Logistic regression showed hospital teaching status as a significant predictor of improved palliative care access/utilization (OR = 1.75, p = 0.0418). Regarding race, 65.4% of White patients received palliative care, compared to 26.3% of Black, 27.8% of Hispanic, and 31.6% of other racial groups. Race was overall not a significant predictor of palliative care utilization (p = 0.353). Sex was also not associated with any significant difference in utilization of palliative care (p = 0.382). Hospital teaching status was the only key factor associated with the likelihood of receiving palliative care. Conclusion: This study highlights disparities in palliative care use among advanced cancer patients, with hospital teaching status emerging as a key factor. Race and gender were not significant predictors. Addressing institutional factors may help improve access across hospital types. Citation Format: Muhammad Ahtizaz. Ahmed, Wania Ur. Rehman, Muhammad Talha . Shaukat, Eeshal Fatima, Saim Yousaf, Muneeb Ur. Rehman, Aleenah Mohsin, Fizza Mohsin, Aqeeb Ur. Rehman, Muhammad Salman . Faisal. Racial and hospital factors affecting palliative care utilization in advanced cancer: An analysis of the NIS database [abstract]. In: Proceedings of the 18th AACR Conference on the Science of Cancer Health Disparities; 2025 Sep 18-21; Baltimore, MD. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2025;34(9 Suppl):Abstract nr C001.

Cancer Epidemiology Biomarkers & PreventionVol. 34(9_Supplement)
Services Institute of Medical Sciences (PK), Maimonides Medical Center (US), King Edward Medical University (PK), Henry Ford Health System (US), Rhode Island Hospital (US), University of Alabama at Birmingham (US)
Openalex Percentile: Top 66%
Palliative Care and End-of-Life Issues
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