five

Modifiable factors associated with pediatric asthma readmissions: a multi-center linked cohort study

收藏
Taylor & Francis Group2023-03-24 更新2026-04-16 收录
下载链接:
https://tandf.figshare.com/articles/dataset/Modifiable_factors_associated_with_pediatric_asthma_readmissions_a_multi-center_linked_cohort_study/20143709
下载链接
链接失效反馈
官方服务:
资源简介:
To (a) identify rates of hospital readmission and emergency department (ED) re-presentation for asthma within a 12-month period, (b) estimate the effects of modifiable hospital, general practitioner (GP) and home environmental factors on hospital readmission, ED re-presentations and rescue oral corticosteroid use. We recruited 767 children aged 3–18 years who were admitted to 3 hospitals in Victoria, Australia between 2017 and 2018 with a validated diagnosis of asthma on chart review. Primary outcome was hospital readmission with asthma within 12 months of index admission. Secondary outcomes were ED re-presentation for asthma and rescue oral corticosteroid use. All outcomes were identified through linked administrative datasets. Their caregivers and 277 nominated GPs completed study surveys regarding the home environment and their usual asthma management practices respectively. Within 12 months of an index admission for asthma 263 (34.3%) participants were readmitted to a hospital for asthma, with participants between the ages of 3–5 years accounting for 69.2% of those readmitted. The estimated effect of GP reported guideline discordant care on the odds of readmission was OR 1.57, 95% CI 1.00–2.47, <i>p</i> = 0.05. None of the hospital or home environmental factors appeared to be associated with hospital readmissions. Hospital readmissions among Australian children with asthma are increasing, and linked datasets are important for objectively identifying the health services burden of asthma. They also confirm the important role of the GP in the management of pediatric asthma.
提供机构:
Fuller, David; Jones, Renee; Carlin, John; Hiscock, Harriet; Vuillermin, Peter; Sanci, Lena; Chu, Wanyu; Chen, Katherine YH; Shanthikumar, Shivanthan; Tran, David
创建时间:
2023-03-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作