Students
Rabea Begum
My research will develop a comprehensive understanding of outcome measures used to evaluate physical functioning in neck pain, use patient reported outcomes to predict pain and explore patient experiences of neck pain using patient reported outcomes of physical functioning.
Chris Davis
My research is investigating the patient experience of musculoskeletal (MSK) advanced physiotherapy practice (APP) internationally. A systematic mixed studies review of patient satisfaction with APP across all clinical fields will inform future studies to better understand the interplay between patient satisfaction and patient experience within the context of MSK APP, with the aim of contributing to shaping best-practice in this field.
Ukponaye 'Desmond' Eboigbe
My research focuses on enhancing pain assessment through mapping, including implementation of machine learning methods for prognostic analysis in spinal pain rehabilitation. The greater goal is to harness computational methods in developing predictive algorithms for robust solutions in specific pain presentation. The impact of this research will transcend data collection, utilization, patient profiling and seek to establish a profound means of predicting rehabilitation outcomes.
Alaa El Chamaa
My research focuses on exploring patients' experiences with spinal pain, specifically in the neck, low back, and mid back regions. The aim is to understand the physical, emotional, and social impacts of spinal pain on their daily life, using qualitative methods. The research will contribute to better pain management strategies and enhance patient care and quality of life in the field of spinal health.
Maclean Jordan
MSc student
Maclean’s research focuses on Physiotherapist’s experiences of patient centered care, including how they conceptualize it, and barriers and facilitators they experience when implementing it into their clinical practice.
Kaitlyn Maddigan
My research is investigating the educational pathway to Advanced Practice for the Physiotherapist internationally. I plan to begin my PhD journey with a systematic mixed studies review of Physiotherapists that engage in educational interventions to develop Advanced Practice competencies. This will contribute to, and inform future studies seeking to standardize the educational pathway to Advanced Practice Physiotherapy internationally.
Jai Mistry
My overarching research question is how can we identify Neuropathic Pain (NP) in patients presenting with Low Back related Leg Pain (LBLP), to enable precision intervention? The PhD findings will identify the clinical indicators that possess diagnostic utility for use in clinical practice to identify NP in LBLP presentations. This will lead to appropriate diagnosis and therefore precision management.
Afieh Niazigharemakher
My research interests are outcome measurement and spinal pain. My PhD research focuses on self-reported prognostic factors which are predictive of pain and / or disability in chronic low back pain and patient’s perceptions and experiences of these prognostic factors.
Zikra Nilam
My research focuses on exploring and understanding the role of breast weight in neck and back pain in women. Using 3D scans, I am exploring relationships between women’s breast weight, lever arms, spinal angles and pressure pain thresholds to better understand the relationship between breast weight and pain perception in women. This research may change the ways we think about mechanisms of spinal pain and reveal new avenues for management of spinal pain in women.
Joe Putos
Rameeza Rashed
My PhD research focuses on investigating physical measures of physical functioning to predict outcomes in low back pain and exploring patient’s perceptions of physical measures of physical functioning. This research aims to improve decision-making and contribute to developing tailored interventions for low back pain through precise prognostic tools.
Wonjin Seo
Wonjin is specializing in measurement and methods with a passion for scale development. He has recently developed a novel tool called the Pain Resilience and Optimism Scale (PROS). This scale aims to assess the levels of resilience and optimism in patients with MSK chronic pain. Unlike the conventional pathological lens that can have a negative impact on people living with chronic pain, the PROS embraces a positive and strengths-focused approach, providing a beneficial perspective.
Saghar Soltanabadi
Saghar's research focuses on the clinical use of virtual reality and its applications in physical rehabilitation of musculoskeletal injuries.
Lauren Straatman
My research uses image-based biomarkers to better understand mechanisms underlying musculoskeletal (MSK) pain. The transdisciplinary nature of my thesis aims to bridge the gap between basic science and clinical science, through the study of chronic MSK pain and pain-related syndromes from a transdisciplinary standpoint.
Onyinyechukwu Umemba
MSc student
Onyinye's research uses quantitative and qualitative methodology to explore outcomes that are important to measure for patients following lumbar spinal fusion surgery.
Sima Vatandoost
My research interest is low back pain and outcome measurement, specifically after total hip arthroplasty surgery. My PhD will investigate the associations between physical measures and patient reported outcomes measures after total hip arthroplasty and explore patient’s experiences and perspectives of low back pain after total hip arthroplasty. Results of this research will contribute to optimizing outcomes and minimizing low back pain after total hip arthroplasty.
