Mrs Nia Morrish
Postdoctoral Research Fellow
Public Health and Sport Sciences
University of Exeter
South Cloisters
St Luke's Campus
Exeter EX1 2LU
Nia is a Postdoctoral Research Fellow in Public Health Economics and part of the Public Health Economics Group. Her current projects focus on evaluating interventions and Public Health impacts related to loneliness, mental health, and dementia. Prior to joining the team Nia completed degrees in economics alongside undertaking internships with both central and local government departments.
Interests:
Nia's research focuses on the impact of loneliness on health and social care, quality of life, and health-related outcomes, as well as wider economic factors such as unemployment. She is particularly interested in understanding and tackling loneliness amongst young and working age adults. Nia is currently involved in evaluating a community-based intervention for young adults who may be experiencing loneliness.
Her interests also include valuation of health and quality of life outcomes, and understanding individual’s preferences, including barriers and facilitators, when accessing support. She has experience in discrete choice experiments and economic evaluation for trials in sub-Saharan Africa, adolescent mental health, loneliness, and dementia. She is also experienced in econometric analysis of employment and health-related outcomes using national datasets.
Nia's methodological expertise lie in cost-effectiveness analysis, discrete choice experiments, cross-sectional and longitudinal data analysis (mediation analysis, propensity score matching, regression), survey design, and evidence synthesis (systematic reviews, umbrella reviews).
Current Projects:
2024-present - 'Tackling Youth Loneliness in Urban Areas: Measuring feasibility, acceptability and benefits of a social interaction intervention' (The Great Friendship Project).
2023-present - 'Social Prescribing for people to Live ENjoyably with Dementia/memory problems In Daily life' (SPLENDID).
2022-present - 'The clinical, social and cost effectiveness of a decision support tool to optimise community-based tailored management of sleep for people living with dementia or mild cognitive impairment and sleep disturbance TIMES –TaIlored ManagEment of Sleep' (TIMES).


