Dr Laura Kelly
BA, MSc, DPhil
Laura Kelly is a Research Officer in Outcomes Measurement in the Health Services Research Unit. Laura has interests in research methodology, psychometric measure development, e-health and experiences of health. She is currently working on a number of projects including the development of a Patient-Reported Outcome Measure for a range of long-term conditions and the development of an instrument to assess self-management in people with type 2 diabetes using computer-based interventions. She is also involved in research regarding the use of patient reported outcomes in clinical care.
Laura has completed a DPhil in Population Health which was funded by a NIHR programme examining the role of patients’ experiences as a resource for choice and decision making in health care. Laura obtained a BA (Hons) in Politics and Social Policy from Queens University Belfast and subsequently completed a MSc in Applied Social Research in Trinity College, Dublin. Prior to coming to Oxford, she spent time as a research assistant in Brunel University developing an assessment tool to measure health-related quality of life for people with neurological damage to their spinal cord using intermittent self-catheterisation.
Development of an Exercise-Specific Parkinson’s Disease Questionnaire: the PDQ-Exercise
MORLEY D. et al, (2021), Movement Disorders
Web-Based and mHealth Technologies to Support Self-Management in People Living With Type 2 Diabetes: Validation of the Diabetes Self-Management and Technology Questionnaire (DSMT-Q).
Kelly L. et al, (2020), JMIR Diabetes, 5
Measuring the benefits of the integration of health and social care: qualitative interviews with professional stakeholders and patient representatives.
Crocker H. et al, (2020), BMC Health Serv Res, 20
Measures for the integration of health and social care services for long-term health conditions: a systematic review of reviews.
Kelly L. et al, (2020), BMC Health Serv Res, 20
The Oxford Participation and Activities Questionnaire (Ox-PAQ): Development of a short form and single index score.
MORLEY D. et al, (2020)