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.
Early recovery following lower limb arthroplasty: Qualitative interviews with patients undergoing elective hip and knee replacement surgery. Initial phase in the development of a patient-reported outcome measure.
Strickland LH. et al, (2018), J Clin Nurs, 27, 2598 - 2608
Experiences of using web-based and mobile technologies to support self-management of type 2 diabetes: a qualitative study
Kelly L. et al, (2018), JMIR Diabetes
An Evaluation of a Near Real-Time Survey for Improving Patients’ Experiences of the Relational Aspects of Care.
Jenkinson C. and Kelly L., (2018), Health Services and Delivery Research
An evaluation of a near real-time survey for improving patients’ experiences of the relational aspects of care: a mixed-methods evaluation
Graham C. et al, (2018), Health Services and Delivery Research, 6, 1 - 174
Predictors of activity and participation across neurodegenerative conditions: a comparison of people with motor neurone disease, multiple sclerosis and Parkinson's disease.
Morley D. et al, (2018), BMC Neurol, 18