Exploring factors affecting adherence to asthma treatment using contextual data

哮喘吸入器和治疗设备越来越多地包含了“跟踪”它们作为我们“数字生态系统”的一部分的使用方式的能力。这种跟踪可以包括关于每天剂量的数量、大小和频率的信息，以及与使用该设备的个人相关的数据，例如他们的位置、健康状况或环境条件(例如空气质量)。这些数据对临床医生、临床研究人员和开发者、患者及其家人的潜力是巨大的，但这些数据的管理和使用带来了伦理和数据分析方面的挑战。这位博士可以探索这样的问题：应该如何提供数据来鼓励患者坚持治疗方案？临床医生如何从包含个人患者数据的多个数据集中负责任地获得价值？或者“临床开发如何使用吸入器使用数据来为未来治疗和递送设备的开发提供信息？”该项目将建立在之前与诺丁汉大学医院信托基金的同事合作以及与葛兰素史克合作的基础上

Asthma inhalers and treatment devices are increasingly incorporating the capability to 'track' the way they are used as part of our 'digital ecosystem'. This tracking can include information about the number, size and frequency of doses per day, as well as data associated with the individual using the device, such as their location, health state or environmental conditions (e.g. air quality). The potential of this data for clinicians, clinical researchers and developers, patients and their families is large, but the management and use of this data presents ethical and data analytical challenges. This PhD could explore questions such as 'how should data be presented to encourage patients adhere to treatment regimes?, 'how can clinicians responsibly gain value from multiple data sets containing personal patient data?' or 'how can clinical development use inhaler use data to inform the development of future treatments and delivery devices?'. This project will build on previous work conducted in partnership with colleagues at Nottingham University Hospitals Trust, and work in partnership with Glaxo Smith Kline