Factors Affecting Length of Stay for Children Hospitalized After Pediatric Surgical Procedures

Jay G Berry1,2, Steven J Staffa3, Peter Hong1,2

  • 1Complex Care Service, Division of General Pediatrics.

Hospital Pediatrics
|September 27, 2024
PubMed

Insights

Predicting pediatric postoperative length of stay (LOS) is crucial. This study found that both the type of surgery and the number of chronic conditions significantly impact a child's recovery duration.

Area of Science:

  • Pediatric Surgery
  • Hospital Medicine
  • Healthcare Management

Background:

  • Understanding postoperative length of stay (LOS) is vital for effective hospital medicine and surgical co-management.
  • Variations in LOS exist across different surgical procedures in children.
  • Identifying risk factors for prolonged LOS is essential for resource allocation and patient care planning.

Purpose of the Study:

  • To assess the variation in postoperative LOS for children undergoing elective surgical procedures.
  • To identify risk factors, specifically the number of chronic conditions, associated with prolonged LOS.
  • To provide data for hospital medicine clinicians to better estimate postoperative LOS.

Main Methods:

  • Retrospective analysis of pediatric patients undergoing elective surgery from January 2018 to October 2021.
  • Comparison of postoperative LOS across 347 surgical procedure types.
  • Multivariable quantile regression used to analyze the association between the number of chronic conditions and LOS.

Main Results:

  • The median LOS across all procedures was 2 days (IQR 1-4).
  • Procedures with a median LOS of ≥5.0 days accounted for 15.0% of hospitalizations and 46.8% of bed days.
  • Children with ≥4 chronic conditions had a significantly prolonged LOS, with those having ≥10 conditions staying a median of 4.0 days longer.

Conclusions:

  • The type of elective surgery and the number of chronic conditions are key predictors of pediatric postoperative LOS.
  • Hospital medicine clinicians can utilize this information to estimate recovery times more accurately.
  • This data supports improved planning and management for pediatric surgical patients.
Abstract

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