Backman Ruth, Weber Philip, Turner Alice M, Lee Mark, Litchfield Ian
Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
School of Computer Science, University of Birmingham, Birmingham, UK.
BMJ Open. 2017 Sep 18;7(9):e016713. doi: 10.1136/bmjopen-2017-016713.
The numbers of patients with three or more chronic conditions (multimorbidity) are increasing, and will rise to 2.9 million by 2018 in the UK alone. Currently in the UK, conditions are mainly managed using over 250 sets of single-condition guidance, which has the potential to generate conflicting recommendations for lifestyle and concurrent medication for individual patients with more than one condition. To address some of these issues, we are developing a new computer-based tool to help manage these patients more effectively. For this tool to be applicable and relevant to current practice, we must first better understand how existing patients with multimorbidity are being managed, particularly relating to concerns over prescribing and potential polypharmacy.
Up to four secondary care centres, two community pharmacies and between four and eight primary care centres in the West Midlands will be recruited. Interviewees will be purposively sampled from these sites, up to a maximum of 30. In this mixed methods study, we will perform a dual framework analysis on the qualitative data; the first analysis will use the Theoretical Domains Framework to assess barriers and enablers for healthcare professionals around the management of multimorbid patients; the second analysis will use Normalisation Process Theory to understand how interventions are currently being successfully implemented in both settings. We will also extract quantitative anonymised patient data from primary care to determine the extent of polypharmacy currently present for patients with multimorbidity in the West Midlands.
We aim to combine these data so that we can build a useful, fully implementable tool which addresses the barriers most amenable to change within both primary and secondary care contexts.
Favourable ethical approval has been granted by The University of Birmingham Research Ethics Committee (ERN_16-0074) on 17 May 2016. Our work will be disseminated through peer-reviewed literature, trade journals and conferences. We will also use the dedicated web page hosted by the University to serve as a central point of contact and as a repository of our findings. We aim to produce a minimum of three articles from this work to contribute to the international scientific literature.
NIHR Clinical Research Network Portfolio Registration CPMS ID 30613.
患有三种或更多慢性病(多重疾病)的患者数量正在增加,仅在英国,到2018年这一数字将增至290万。目前在英国,疾病主要依据250多套单一疾病指南进行管理,这可能会针对患有多种疾病的个体患者的生活方式和联合用药产生相互冲突的建议。为解决其中一些问题,我们正在开发一种新型的基于计算机的工具,以更有效地管理这些患者。为使该工具适用于当前实践并与之相关,我们必须首先更好地了解现有多重疾病患者是如何得到管理的,特别是与处方问题及潜在的多药联用相关的情况。
将招募西米德兰兹郡多达四个二级医疗中心、两个社区药房以及四至八个初级医疗中心。将从这些场所中进行目的抽样选取受访者,最多30人。在这项混合方法研究中,我们将对定性数据进行双重框架分析;首次分析将使用理论领域框架来评估医疗保健专业人员在管理多重疾病患者方面的障碍和促进因素;第二次分析将使用规范化过程理论来了解目前在这两种环境中干预措施是如何成功实施的。我们还将从初级医疗中提取定量的匿名患者数据,以确定西米德兰兹郡多重疾病患者目前的多药联用程度。
我们旨在整合这些数据,以便能够构建一个有用的、可全面实施的工具,该工具能够解决在初级和二级医疗环境中最易于改变的障碍。
伯明翰大学研究伦理委员会(ERN_16 - 0074)于2016年5月17日给予了有利的伦理批准。我们的工作将通过同行评审文献、行业期刊和会议进行传播。我们还将利用大学托管的专用网页作为联系中心以及我们研究结果的存储库。我们旨在从这项工作中至少撰写三篇文章,为国际科学文献做出贡献。
NIHR临床研究网络组合注册CPMS ID 30613