About the Project
This CASE studentship will uniquely bring academia and industry together to solve this problem. It aims to enhance our understanding of the measurement properties of innovative ePROM tools. For this, you will design and conduct a series of quantitative and qualitative research projects investigating the measurement properties of ePROM tools developed by the supervisory team and by uMotif. uMotif are a London-based digital health company that provides innovative user-centred data capture tools for health research. They are the studentship’s industry partner and see this as an opportunity to increase the robustness of their products. They will host you for a 3-6 month placement to conduct a research study around one of their ePROM tools.
The supervisory team and uMotif have developed several ePROM tools that are available for further investigations in this studentship. Examples include: a digital pain manikin3 (i.e. digital human-shaped drawings where people can shade areas to indicate the location and other aspects of their pain); the ‘motif’ (i.e. uMotif’s patented data capture tool); and a smartwatch version of the EQ-5D, which measures health-related quality of life. There will be room for you to select the tools you would like to focus on for your studies.
Through this studentship you will gain: knowledge on digital health and ePROMs; methodological skills to review, develop and validate ePROM tools; and insights into the digital health industry. You will deliver the evidence base for the measurement properties of ePROM tools, as well as how to further enhance them. Ultimately, the studentship will increase uptake of commercial and non-commercial ePROM tools in research and clinical settings, and contribute to harnessing the data collected through these tools.
Applications are invited from UK/EU nationals only. Applicants must have obtained, or be about to obtain, at least an upper second class honours degree (or equivalent) in a relevant subject.
As an equal opportunities institution we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
2. Basch E, Deal AM, Kris MG, et al. Symptom monitoring with patient-reported outcomes during routine cancer treatment: A randomized controlled trial. J Clin Oncol. 2016;34(6):557-565. doi:10.1200/JCO.2015.63.0830
3. Van der Veer SN, Beukenhorst AL, Ali SM, et al. Development of a mobile digital manikin to measure pain location and intensity. Stud Health Technol Inform. 2020;[in press].
Based on your current searches we recommend the following search filters.
Based on your current search criteria we thought you might be interested in these.