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SOHO 2026 Annual Meeting

September 9 - 12, 2026 | George R. Brown Convention Center, Houston, Texas

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AML - 172

Insurance Status and In-Hospital Outcomes Among Adults With Acute Leukemia: A Nationwide Analysis (2016-2021)

Poster Presenter

Aditi Parulkar

Part of Topic

Acute Myeloid Leukemia (AML)

Study Rationale:Quantifying these disparities across Medicare, Medicaid, private insurance, and uninsured populations provides critical evidence to inform health policy and improve equitable access to life-saving care.

Title: Insurance Status and In-Hospital Outcomes Among Adults With Acute Leukemia: A Nationwide Analysis (2016–2021)

Authors & Affiliations: A. Parulkar¹, S. S. Saa¹, K. W. H. Hla¹, Y. M. Myat¹, M. Kalavar¹, L. Enayati¹, Y. N. Pinkhusovich¹, K. Panigrahi¹, and T. H. Oo²

  1. One Brooklyn Health, Brooklyn, USA

  2. The University of Texas MD Anderson Cancer Center, Houston, USA

Introduction

 

  • High-Acuity Need: Acute myeloid leukemia and acute lymphoblastic leukemia require rapid, intensive, and high-cost inpatient interventions to prevent early mortality.

  • Access Barrier: Health insurance coverage serves as the primary gateway to timely hematologic care, diagnostic testing, and specialized oncologic therapies.

  • Knowledge Gap: While health disparities in oncology are documented, the specific impact of insurance status on inpatient survival and resource consumption (hospital charges and length of stay) remains understudied at a national scale.

  • Study Rationale: Quantifying these disparities across Medicare, Medicaid, private insurance, and uninsured populations provides critical evidence to inform health policy and improve equitable access to life-saving care.

Aim

 

To evaluate the independent association between insurance status, in-hospital mortality, and healthcare resource utilization among older adults ($\ge 50$ years) hospitalized with acute leukemia using a nationally representative US cohort.

Methods

 

  • Dataset: National Inpatient Sample (NIS), 2016–2021.

  • Population: Adult patients ($\ge 50$ years) hospitalized with a primary diagnosis of AML or ALL ($N = 86,700$).

  • Stratification: Medicare, Medicaid, Private Insurance, Uninsured (reference group).

  • Statistical Analysis: Multivariable logistic and linear regression models adjusted for demographics, Charlson Comorbidity Index, and hospital characteristics.

Results

 

1. Patient Demographics & Insurance Distribution ($N = 86,700$)

 

  • Medicare: 61.8%

  • Private Insurance: 28.8%

  • Medicaid: 7.7%

  • Uninsured: 1.8%

  • Setting: Most patients were treated at large, urban teaching hospitals.

2. Multivariable Adjusted Mortality Odds (vs. Uninsured Reference, aOR 1.0)

 

  • Medicare: aOR 0.46 (95% CI: 0.33–0.65)

  • Private Insurance: aOR 0.47 (95% CI: 0.33–0.65)

  • Medicaid: aOR 0.50 (95% CI: 0.34–0.74)

  • Key Takeaway: All insured groups had significantly lower odds of inpatient mortality compared to uninsured patients.

3. Total Hospital Charges & Length of Stay (LOS) (vs. Uninsured)

 

  • Total Hospital Charges:

    • Medicare: +$39,656

    • Private: +$61,997

    • Key Takeaway: Medicare and private insurance incurred significantly higher total hospital charges.

  • Length of Stay:

    • Private: +2.5 days ($p < 0.05$)

    • Medicare & Medicaid: No significant differences observed.

4. Predicted Inpatient Mortality Trends (2016–2021)

 

  • Peak Disparity: Uninsured mortality peaked at 35% in 2016.

  • Convergence: Insured groups (Medicare, Private, Medicaid) stabilized around ~10% mortality by 2021.

  • Key Takeaway: Uninsured patients had disproportionately higher predicted mortality throughout the study period, leaving a persistent survival gap.

Conclusions

 

  • Mortality Impact: Lack of insurance is a strong, independent predictor of in-hospital mortality in adult acute leukemia.

  • Resource Disparity: Insured patients undergo more intensive diagnostic and therapeutic pathways, evidenced by significantly higher hospital charges and longer stays.

  • Policy Implication: Structural policy interventions expanding coverage are urgently required to eliminate financial barriers to life-saving hematologic care.

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