National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
BMJ Open. 2022 Jun 9;12(6):e062833. doi: 10.1136/bmjopen-2022-062833.
Wide variation in the management of key paediatric surgical conditions in the UK has likely resulted in outcomes for some children being worse than they could be. Consequently, it is important to reduce unwarranted variation. However, major barriers to this are the inability to detect differences between observed and expected hospital outcomes based on the casemix of the children they have treated, and the inability to detect variation in significant outcomes between hospitals. A stated-preference study has been designed to estimate the value key stakeholders place on different elements of the outcomes for a child with a surgical condition. This study proposes to develop a summary metric to determine what represents successful treatment of children with surgical conditions.
Preferences from parents, individuals treated for surgical conditions as infants/children, healthcare professionals and members of the public will be elicited using paired comparisons and kaizen tasks. A descriptive framework consisting of seven attributes representing types of operations, infections treated in hospital, quality of life and survival was identified. An experimental design has been completed using a D-efficient design with overlap in three attributes and excluding implausible combinations. All participants will be presented with an additional choice task including a palliative scenario that will be used as an anchor. The survey will be administered online. Primary analysis will estimate a mixed multinomial logit model. A traffic light system to determine what combination of attributes and levels represent successful treatment will be created.
Ethics approval to conduct this study has been obtained from the Medical Sciences Inter-Divisional Research Ethics Committee (IDREC) at the University of Oxford (R59631/RE001-05). We will disseminate all of our results in peer-review publications and scientific presentations. Findings will be additionally disseminated through relevant charities and support groups and professional organisations.
英国在关键儿科手术条件的管理方面存在广泛差异,这可能导致一些儿童的治疗结果不如预期。因此,减少不必要的差异非常重要。然而,主要的障碍是无法根据所治疗儿童的病例组合来检测观察到的和预期的医院结果之间的差异,以及无法检测医院之间重要结果的差异。已经设计了一项偏好研究来估计关键利益相关者对患有手术条件的儿童的结果的不同要素的重视程度。本研究旨在开发一个汇总指标,以确定代表成功治疗患有手术条件的儿童的指标。
将使用配对比较和改善任务来征求父母、作为婴儿/儿童接受手术治疗的个人、医疗保健专业人员和公众的偏好。确定了一个描述性框架,该框架由代表手术类型、医院治疗感染、生活质量和生存的七个属性组成。已经使用具有重叠的三个属性的 D-有效设计完成了实验设计,并排除了不合理的组合。所有参与者都将被提供一个额外的选择任务,包括姑息治疗方案,该方案将用作锚点。该调查将在线进行。主要分析将估计混合多项逻辑回归模型。将创建一个信号灯系统,以确定代表成功治疗的属性和水平的组合。
牛津大学医学科学跨学科研究伦理委员会(IDREC)已批准进行这项研究(R59631/RE001-05)。我们将在同行评审出版物和科学演讲中传播我们的所有研究结果。研究结果还将通过相关慈善机构和支持团体以及专业组织进行传播。