Risk factors for length of stay and charge per day differ between older and younger hospitalized patients with AML

Anita J Kumar1,2, Tobi Henzer1, Angie Mae Rodday1

  • 1Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts.

Cancer Medicine
|April 18, 2018
PubMed

Insights

Healthcare utilization for acute myeloid leukemia (AML) patients varies by age. Factors like chronic conditions and race influence length of stay and costs, necessitating tailored interventions for younger and older AML patients.

Area of Science:

  • Hematology
  • Health Services Research
  • Epidemiology

Background:

  • Acute myeloid leukemia (AML) is a significant cause of hospitalization.
  • Understanding healthcare utilization patterns is crucial for resource allocation and patient management.

Purpose of the Study:

  • To evaluate factors associated with length of stay (LOS) and charge per day (CPD) for hospitalized patients with AML.
  • To compare these factors between younger (<60 years) and older (≥60 years) patient groups.

Main Methods:

  • Analysis of the 2012 Healthcare Cost and Utilization Project Nationwide Inpatient Sample (HCUP-NIS) database.
  • Identification of patients with ICD-9-CM codes for AML or myeloid sarcoma.
  • Multivariable negative binomial regression models to assess predictors of LOS and CPD, stratified by age.

Main Results:

  • Overall LOS was longer in younger patients (6.8 days) compared to older patients (5.4 days).
  • In younger patients, longer LOS was linked to more chronic conditions, Black race, and chemotherapy; shorter LOS was associated with older age and Medicare.
  • In older patients, longer LOS was associated with chronic conditions and Asian race; shorter LOS with higher income and hospital type. CPD varied significantly by age group, race, insurance, and geography.

Conclusions:

  • Predictors of healthcare utilization in hospitalized AML patients differ significantly between younger and older age groups.
  • These findings highlight the need for age-specific strategies to optimize care and manage costs for AML patients.
  • Further research should integrate clinical outcomes with utilization data to inform treatment and resource management.

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