613
Views
20
CrossRef citations to date
0
Altmetric
Research Article

Trends in asthma readmissions among children and adolescents over time by age, gender and season

, BSc(Hons), , MBBS(Hons), BMedSc, PhD, FRACP, FAFPHM, , MBBS, MSc, MD, PhD, , MBBS, PhD, FRACP, FRCPA, FAAAAI, , MD, PhD, FAAAAI & , BSc(Hons), MSc, PhD
Pages 1055-1060 | Received 02 Oct 2013, Accepted 15 Jun 2014, Published online: 09 Jul 2014
 

Abstract

Objectives: Little is known about asthma readmissions within 28 days over time by age or gender. We explored trends in childhood asthma hospital readmission rates over time by age, gender and season. Methods: Using a large database of 53 156 childhood admissions with a primary diagnosis of asthma from the Department of Health Victoria Australia for 1997–2009, we explored asthma hospital readmissions rates by seasonality, gender and age (2–18 years) using chi square tests, logistic regression models and graphical techniques. Results: Approximately 9459 (28%) of the children had two or more admissions over the whole study period, contributing to 55% (29 056/53 156) of all admissions. Approximately 5% of admissions were repeat admission within 28 days. Over time, despite a decline in asthma incidence, the rate of readmission within 28 days increased, particularly in the 2–12 year age groups. Girls were at greater risk of readmission within 28 days (odds ratio [OR] = 1.15; 95% CI: 1.004–1.32; p = 0.04) and 12 months (OR = 1.11; 95% CI: 1.05–1.19; p = 0.001). Grass pollen season was associated with readmissions within 28 days, but only in boys (p = 0.01). Conclusion: Over time, despite a fall in asthma incidence, readmission rates for childhood asthma significantly increased in younger age groups with girls at a higher risk of being readmitted than boys. Increased risk of repeat admission for boys was observed during the grass pollen season. These findings highlight high-risk groups, which has implications for both clinical services and patient care. More detailed monitoring of readmission rates amongst various risk groups over time is required.

Role of each author in this study

Don Vicendese contributed to data analysis, drafting and revising the manuscript; Michael J. Abramson contributed to the design, interpretation of findings and revising the manuscript; Shyamali C. Dharmage, Mimi L. Tang and Katie J. Allen contributed to the design, interpretation of findings and revising the manuscript; and Bircan Erbas contributed to the conception and design, analysis and interpretation, drafting and revising of the manuscript.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.