Contact information
rachel.dewar-haggart@phc.ox.ac.uk
https://orcid.org/0000-0002-3757-1152
Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford. OX2 6GG
she/her
Research groups
Rachel Dewar-Haggart
BSc (Hons), MSc, PhD, CPsychol
Postdoctoral Qualitative Researcher
I am the Postdoctoral Qualitative Researcher for a qualitative study aiming to understand and improve endometriosis experiences; by exploring patient and healthcare professionals' experiences of management, diagnosis and treatment of the condition.
I have over 11 years' experience of working on number of primary care trials, using my expertise in qualitative methods to highlight the importance of communication between patients and general practitioners over a range of conditions.
Just before joining the Medical Sociology & Health Experiences Research Group, I worked on a randomised controlled trial investigating the effectiveness of an eLearning package for primary care practitioners to deliver positive empathic care towards patients during consultations. I have also worked as a qualitative researcher on other randomised controlled trials looking at the effectiveness of the use of the PHQ-9 in consultations for the monitoring and assessment of depression; and an intervention to support both patients and GPs with the discontinuation of long-term antidepressant treatment.
I completed my PhD at the University of Southampton, which explored beliefs and behavioural intentions towards long-term antidepressant use for the management of people with depression in primary care.
My background in health psychology and qualitative methodology drives my interest in exploring the lived experiences of people with long-term conditions and to improve supported self-management. I have a particular interest in gynaecological health and reducing health inequalities.
I am a Chartered Psychologist with the British Psychological Society, and I am a Visiting Fellow at the University of Southampton's Primary Care Research Centre.
Recent publications
Normalization of alcohol misuse and alcohol-related harms: a mixed methods analysis exploring alcohol misuse, morbidity, and healthcare engagement in people experiencing homelessness
Journal article
Wells C. et al, (2026), Alcohol and Alcoholism, 61
Health care professionals’ perceptions of machine learning based clinical decision support systems for oesophageal cancer management
Journal article
Webb C. et al, (2026), Computers in Biology and Medicine, 200
Monitoring depression with the PHQ-9 in primary care: a qualitative study
Journal article
Ching BCF. et al, (2025), BJGP Open, BJGPO.2025.0159 - BJGPO.2025.0159
Proper alcoholics and Catch-22s: a mixed methods analysis exploring alcohol misuse, morbidity and liver healthcare engagement in people experiencing homelessness
Conference paper
Wells C. et al, (2025), Gut, 74
Internet and telephone intervention to support patients discontinuing longterm antidepressants in primary care: the REDUCE research programme including RCT
Journal article
Kendrick T. et al, (2025), Programme Grants for Applied Research, 13, 1 - 115
Predicting intentions towards long-term antidepressant use in the management of people with depression in primary care: A longitudinal survey study
Journal article
Dewar-Haggart R. et al, (2025), PLoS ONE, 20