Miss Mevhibe Hocaoglu BSc, MSc, PhD

Biography

Mevhibe B Hocaoglu has a PhD degree from the University of Reading where she developed and psychometrically tested the first disease specific health-related quality of life instrument for persons living with Huntington's Disease (HD) with a studentship from the European Huntington's Disease Network. She is the recipient of Chevening Scholarships granted by the Foreign and Commonwealth Office (FCO) to complete her MSc in Global Health Sciences at the University of Oxford. Mevhibe has received a Fulbright Scholarship towards her degrees BA (Hons) in Anthropology and BSc in Biology from the College of William and Mary (Virginia, USA).

Mev is a Research Associate working with Prof Irene J Higginson on NIHR SL ARC Palliative and End of Life Care Outcomes Programme & Rapid evaluation of the COVID-19 pandemic response in palliative and end of life care: national delivery, workforce and symptom management (CovPall) Study coordinating HDR UK Data & Connectivity NCP Project for CovPall Study called CovPall-Connect and is part of the Palliative care Outcome Scale (POS) Development Team as the key CSI contact. She is a member of the Patient Outcomes Committee of the King’s College Hospital NHS Trust.

Research interests:

She is interested in measurement, person centred outcome measurement, and development of decision tools based on outcomes and aspires to contribute to scientific knowledge through teaching and research and encourage development and utilization of person-centred outcome tools in practice to facilitate person-centred policy, intervention, practice development and quality improvement.

She is interested in assessing the measurement properties of POS family of measures, in validating single items as well as subscales and reassessing measurement properties for calibration of scores. She is interested in designing new studies or carrying out re-analysis of data on the performance of our measures for monitoring, screening, prioritizing patients/care and secondary analysis of how POS measures are behaving as primary/secondary endpoint in trials (calibration issue). And validation of our measures for monitoring, screening and prioritizing patients. She is interested in using intelligent testing systems and developing an item bank for the POS family of measures to reduce patient burden and fatigue and to capture complexity and multi-morbidity.

Research profile