Canavan Caroline, West Joe, Card Timothy
Division of Epidemiology and Public Health, University of Nottingham, Clinical Sciences Building, City Hospital Campus, Hucknall Road, Nottingham, NG5 1PB, England.
Pharmacoeconomics. 2016 Feb;34(2):181-94. doi: 10.1007/s40273-015-0339-y.
Health economic models are increasingly important in funding decisions but most are based on data, which may therefore not represent the general population. We sought to establish the potential of real-world data available within the Clinical Practice Research Datalink (CPRD) and linked Hospital Episode Statistics (HES) to determine comprehensive healthcare utilisation and costs as input variables for economic modelling.
A cohort of patients with irritable bowel syndrome (IBS) who first saw a gastroenterologist in 2008 or 2009, and with 3 years of data before and after their appointment, was created in the CPRD. Primary care, outpatient, inpatient, prescription and colonoscopy data were extracted from the linked CPRD and HES. The appropriate cost to the NHS was attached to each event. Total and stratified annual healthcare utilisation rates and costs were calculated before and after the gastroenterology appointment with distribution parameters. Absolute differences were calculated with 95% confidence intervals.
Total annual healthcare costs over 3 years increase by £935 (95% CI £928-941) following a gastroenterology appointment for IBS. We derived utilisation and cost data with parameter distributions stratified by demographics and time. Women, older patients, smokers and patients with greater comorbidity utilised more healthcare resources, which generated higher costs.
These linked datasets provide comprehensive primary and secondary care data for large numbers of patients, which allows stratification of outcomes. It is possible to derive input parameters appropriate for economic models and their distributions directly from the population of interest.
健康经济模型在资金决策中日益重要,但大多数基于数据,因此可能无法代表一般人群。我们试图确定临床实践研究数据链(CPRD)和关联的医院 Episode 统计数据(HES)中可用的真实世界数据用于确定综合医疗保健利用率和成本作为经济建模输入变量的潜力。
在 CPRD 中创建了一组 2008 年或 2009 年首次就诊于胃肠病学家且在就诊前后有 3 年数据的肠易激综合征(IBS)患者队列。从关联的 CPRD 和 HES 中提取初级保健、门诊、住院、处方和结肠镜检查数据。为每个事件赋予 NHS 的适当成本。在胃肠病学就诊前后计算总年度和分层年度医疗保健利用率及成本,并给出分布参数。计算绝对差异及 95%置信区间。
IBS 患者进行胃肠病学就诊后,3 年总年度医疗保健成本增加了 935 英镑(95%CI 928 - 941 英镑)。我们得出了按人口统计学和时间分层的参数分布的利用率和成本数据。女性、老年患者、吸烟者和合并症较多的患者使用了更多的医疗资源且产生了更高的成本。
这些关联数据集为大量患者提供了全面的初级和二级保健数据,从而能够对结果进行分层。有可能直接从感兴趣的人群中得出适合经济模型的输入参数及其分布。