Shah Rakhee, Arora Sandeepa, Dunkley Colin, Raja Niky, Bottle Alex, Hargreaves Dougal S
Mohn Centre for Children's Health and Wellbeing, Department of Epidemiology and Biostatistics, Imperial College London, London, UK
Mohn Centre for Children's Health and Wellbeing, Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
BMJ Open. 2025 Feb 19;15(2):e082637. doi: 10.1136/bmjopen-2023-082637.
Previous studies have reported widespread unexplained geographical variations in emergency paediatric admissions for epilepsy.
Our aim was to investigate the extent to which geographical variation in epilepsy admissions among children and young people (CYP) aged 0-18 years, in England, reflects variation in new epilepsy diagnoses.
A retrospective secondary analysis of Hospital Episode Statistics data for emergency admissions between April 2018 and March 2019, and Epilepsy12 audit data for new epilepsy diagnoses in England, between July and November 2018.
The ratios of observed to expected epilepsy admissions and new diagnoses were calculated for each hospital Trust, based on their catchment population, and adjusted for age, sex and deprivation. Standardised ratios of observed to expected epilepsy admissions were plotted against standardised ratios of observed to expected new diagnoses of epilepsy at Trust level and the Pearson correlation coefficient was calculated.
There were 9246 emergency admissions for CYP to 134 Trusts with a primary diagnosis of epilepsy in England during the study period. 60 Trusts (44.4%) had either significantly lower or higher than expected standardised admission ratios for a primary diagnosis of epilepsy. There were 960 new diagnoses of epilepsy between July and November 2018 for 74 Trusts. 14 Trusts (18.9%) had either lower or higher standardised diagnosis ratios for a new diagnosis of epilepsy. There was no correlation between standardised emergency epilepsy admissions ratios and standardised new epilepsy diagnoses ratios at Trust level (Pearson r -0.06, p 0.63).
Widespread unexplained variation in epilepsy admissions cannot be explained by variation in new epilepsy diagnosis. This raises concerns about the equity and accessibility of epilepsy services. Unit-level benchmarking data on new diagnoses and admissions for epilepsy can inform strategies to improve access to care and health outcomes.
先前的研究报告称,儿童癫痫急诊入院存在广泛的无法解释的地域差异。
我们的目的是调查英格兰0至18岁儿童和青少年(CYP)癫痫入院的地域差异在多大程度上反映了新癫痫诊断的差异。
对2018年4月至2019年3月期间急诊入院的医院事件统计数据,以及2018年7月至11月期间英格兰癫痫新诊断的Epilepsy12审计数据进行回顾性二次分析。
根据每个医院信托的服务人口,计算观察到的与预期的癫痫入院和新诊断的比率,并对年龄、性别和贫困程度进行调整。在信托层面,将观察到的与预期的癫痫入院标准化比率与观察到的与预期的癫痫新诊断标准化比率进行对比,并计算皮尔逊相关系数。
在研究期间,英格兰有9246名CYP因癫痫为主诊断而急诊入院至134个信托。60个信托(44.4%)的癫痫为主诊断标准化入院比率显著低于或高于预期。2018年7月至11月期间,74个信托有960例癫痫新诊断。14个信托(18.9%)的癫痫新诊断标准化比率较低或较高。在信托层面,癫痫急诊入院标准化比率与癫痫新诊断标准化比率之间无相关性(皮尔逊r=-0.06,p=0.63)。
癫痫入院广泛存在的无法解释的差异不能用新癫痫诊断的差异来解释。这引发了对癫痫服务公平性和可及性的担忧。癫痫新诊断和入院的单位层面基准数据可为改善医疗服务可及性和健康结局的策略提供参考。