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Published on: February 14, 2019
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.
Objectives:
To describe the pattern of respiratory disorders in the Hong Kong paediatric population admitted to government hospitals, and to assess the reliability of the diagnoses by linkage with laboratory data.
Methods:
Discharge diagnoses for all admissions are recorded in a central computerised database, the Clinical Management System. These data were analysed for the inclusive period July 1997 to June 1999. Virology laboratory results from a single hospital were linked to the Clinical Management System diagnostic codes to examine discrepancies in coding specific viral aetiologies.
Results:
A primary diagnosis of a respiratory disorder was noted in 37.5% (upper respiratory 30.1%, tonsillitis/pharyngitis 10.5%, croup/laryngitis 2.3%, acute otitis media 2.7%, bronchitis/chest infection 2.6%, bronchiolitis 10.2%, pneumonia 20.9%, influenza 4%, asthma and allergic rhinitis 16.5%), and a primary or secondary diagnosis in 42.5% of children younger than 15 years. The incidence rates of respiratory illness coded as bronchiolitis and influenza were respectively estimated to be 887-979 and 222-381 per 100,000 children under 5 years and 3551-3949 and 415-528 per 100,000 children under the age of 1 year. The percentage of respiratory-associated admissions varied significantly by hospital and detailed analysis of data at one hospital highlighted important discrepancies between discharge diagnosis and laboratory results.
Conclusions:
These passive surveillance data provide general estimates of the disease burden for respiratory disorders in Hong Kong children. Active surveillance studies are required to provide more accurate estimates of the disease burden. Consideration should be given to enhance the Clinical Management System by routinely linking all laboratory data with discharge diagnosis information, by establishing sentinel surveillance hospitals and by assessing new strategies to standardise coding.
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