» Articles » PMID: 35638474

Hospital Service Use for Young People with Chronic Health Conditions: A Population-based Matched Retrospective Cohort Study

Overview
Specialty Pediatrics
Date 2022 May 31
PMID 35638474
Authors
Affiliations
Soon will be listed here.
Abstract

Aim: This study aims to identify the hospitalised morbidity associated with three common chronic health conditions among young people using a population-based matched cohort.

Methods: A population-level matched case-comparison retrospective cohort study of young people aged ≤18 years hospitalised with asthma, type 1 diabetes (T1D) or epilepsy during 2005-2018 in New South Wales, Australia using linked birth, health and mortality records. The comparison cohort was matched on age, sex and residential postcode. Adjusted rate ratios (ARR) were calculated by sex and age group.

Results: There were 65 055 young people hospitalised with asthma, 6648 with epilepsy, and 2209 with T1D. Young people with epilepsy (ARR 10.95; 95% confidence interval (CI) 9.98-12.02), T1D (ARR 8.64; 95% CI 7.72-9.67) or asthma (ARR 4.39; 95% CI 4.26-4.53) all had a higher risk of hospitalisation than matched peers. Admission risk was highest for males (ARR 11.00; 95% CI 9.64-12.56) and females with epilepsy (ARR 10.83; 95% CI 9.54-12.29) compared to peers. The highest admission risk by age group was for young people aged 10-14 years (ARR 5.50; 95% CI 4.77-6.34) living with asthma, children aged ≤4 years (ARR 12.68; 95% CI 11.35-14.17) for those living with epilepsy, and children aged 5-9 years (ARR 9.12; 95% CI 7.69-10.81) for those living with T1D compared to peers.

Conclusions: The results will guide health service planning and highlight opportunities for better management of chronic health conditions, such as further care integration between acute, primary and community health services for young people.

Citing Articles

Predicting Paediatric Brain Disorders from MRI Images Using Advanced Deep Learning Techniques.

Kumar Y, Bhardwaj P, Shrivastav S, Mehta K Neuroinformatics. 2025; 23(2):9.

PMID: 39821839 DOI: 10.1007/s12021-024-09707-0.

References
1.
Wo S, Ong L, Low W, Lai P . The impact of epilepsy on academic achievement in children with normal intelligence and without major comorbidities: A systematic review. Epilepsy Res. 2017; 136:35-45. DOI: 10.1016/j.eplepsyres.2017.07.009. View

2.
Auzanneau M, Rosenbauer J, Icks A, Karges B, Neu A, Ziegler R . Hospitalization in Pediatric Diabetes: A Nationwide Analysis of all Admission Causes for Germany in 2015. Exp Clin Endocrinol Diabetes. 2019; 128(9):615-623. DOI: 10.1055/a-0972-1060. View

3.
Berry J, Hall M, Hall D, Kuo D, Cohen E, Agrawal R . Inpatient growth and resource use in 28 children's hospitals: a longitudinal, multi-institutional study. JAMA Pediatr. 2012; 167(2):170-7. PMC: 3663043. DOI: 10.1001/jamapediatrics.2013.432. View

4.
. Global, regional, and national burden of epilepsy, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019; 18(4):357-375. PMC: 6416168. DOI: 10.1016/S1474-4422(18)30454-X. View

5.
Bohn B, Schwandt A, Ihle P, Icks A, Rosenbauer J, Karges B . Hospital admission in children and adolescents with or without type 1 diabetes from Germany: An analysis of statutory health insurance data on 12 million subjects. Pediatr Diabetes. 2017; 19(4):721-726. DOI: 10.1111/pedi.12621. View