Assessing disease burden of respiratory disorders in Hong Kong children with hospital discharge data and linked

Edmund A S Nelson1, J S Tam, L M Yu

  • 1Department of Paediatrics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong. tony-nelson@cuhk.edu.hk

Insights

Respiratory disorders are common in Hong Kong children, affecting over 42% of those under 15. Diagnosis coding needs improvement, as shown by discrepancies between hospital records and lab data.

Area of Science:

  • Pediatric respiratory health
  • Public health surveillance
  • Infectious disease epidemiology

Background:

  • Respiratory disorders are a significant cause of hospitalization in children.
  • Accurate diagnosis and surveillance are crucial for understanding disease burden and guiding public health interventions.

Purpose of the Study:

  • To characterize the patterns of pediatric respiratory disorders in Hong Kong government hospitals.
  • To evaluate the reliability of diagnostic coding by linking hospital discharge data with laboratory results.

Main Methods:

  • Analysis of discharge diagnoses from the Clinical Management System (July 1997-June 1999).
  • Linking virology laboratory data from one hospital to diagnostic codes to identify coding discrepancies.
  • Calculation of incidence rates for specific respiratory illnesses.

Main Results:

  • Respiratory disorders accounted for 37.5% of primary diagnoses and 42.5% of all diagnoses in children under 15.
  • High incidence rates were observed for bronchiolitis and influenza in young children.
  • Significant variations in diagnosis coding and discrepancies between discharge diagnoses and laboratory findings were noted.

Conclusions:

  • Passive surveillance data offer general estimates of pediatric respiratory disease burden in Hong Kong.
  • Active surveillance studies and enhancements to the Clinical Management System are needed for more accurate data.
  • Recommendations include routine laboratory data linkage, sentinel surveillance, and standardized coding strategies.
Abstract

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