Time trends and payer differences in lengths of initial hospitalization for preterm infants, Arkansas, 2004 to 2010

Songthip Ounpraseuth1, Janet Bronstein2, C Heath Gauss1

  • 1Department of Biostatistics, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas.

Insights

Insurance type and time trends in length of stay for preterm infants are explained by complications. Higher complication rates in privately insured infants and increasing overall complication rates account for initial differences and trends.

Area of Science:

  • Neonatal health outcomes
  • Health services research
  • Biostatistics

Background:

  • Length of stay (LOS) for preterm infants is a critical metric for healthcare resource utilization and patient outcomes.
  • Understanding factors influencing neonatal LOS, such as insurance type and time trends, is essential for effective healthcare planning.
  • Preterm infants represent a vulnerable population with complex healthcare needs.

Purpose of the Study:

  • To investigate the temporal trends in neonatal length of stay (LOS) for preterm infants in Arkansas from 2004 to 2010.
  • To determine if differences in neonatal LOS exist based on insurance type (Medicaid vs. private payer).
  • To identify factors contributing to observed differences and trends in neonatal LOS.

Main Methods:

  • Analysis of 18,712 preterm infants' data from Arkansas between 2004 and 2010.
  • Utilized accelerated failure time models to assess the impact of insurance type and discharge year on neonatal LOS.
  • Adjusted models for maternal and infant characteristics, as well as complication and anomaly indicators.

Main Results:

  • Initially, Medicaid-insured preterm infants had a 3.2% shorter LOS than privately insured infants.
  • An annual increase of 1.6% in expected LOS was observed before accounting for complications.
  • After adjusting for complications, insurance-related LOS differences became statistically insignificant, with a persistent annual LOS increase of 0.59%.

Conclusions:

  • Apparent disparities in LOS by insurance type were largely explained by higher complication rates among privately insured preterm infants.
  • Over half of the observed increase in LOS over time was attributed to increasing complication rates in preterm infants.
  • Comorbidity and anomaly rates are crucial confounders when analyzing neonatal LOS trends and insurance-related differences.
Abstract

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