Welcome to ASUME volunteering in dementia care.
This website presents the findings from a project exploring the role of volunteers in dementia care.
Since 2014, the project research team has undertaken a series of investigations, surveys and interviewed several volunteers, volunteer organisations, people living with dementia and carers.
This research revealed how we Attract, Sustain, and Understand volunteers and considers what Motivates them, within the different volunteer Environments.
These insights will support new and current volunteers and the organisations involved with volunteering, and ultimately will help to improve the care and support provided to people living with dementia, and their carers.
This website summarises the key findings and implications of the project (for the full report contact email@example.com)
The website outlines a variety of data gathered over the time of the project. This includes secondary analysis of Scottish and English data sets, an organisational survey and qualitative interviews with volunteers, carers, people with dementia and wider stakeholders. The pdf’s attached to the webpages give more detailed findings and refer to numerous volunteer interviews that are coded as follows:
C = Cumbria, S = Stirling, F = Female, M = Male, V = Volunteer, C = Carer, D = Person with Dementia
So, CVF01 = Female Volunteer from Cumbria
Dr Vikki McCall
Dr Vikki McCall is a lecturer in social policy and housing at the University of Stirling and principal investigator of the project. Vikki's work has included extensive research on the role of front-line workers, service-users, volunteers and the policy process. This has included exploring front-line worker discretion, interpretations, activities and actions. Part of this work has been around bridging the gap between policy and practice.
Vikki is a director for the Scottish Federation of Housing Associations and board member of Parkhead Housing Association. She is passionate about improving the lives of people living in poverty and making communities stronger.
For a copy of the full research report or if you have any questions please contact firstname.lastname@example.org
Dr Alasdair Rutherford
Dr Alasdair Rutherford is a senior lecturer in social statistics at the University of Stirling. His research focus is the analysis of administrative and survey data in the fields of health, social care and the third sector. Alasdair's academic background includes economics, sociology, psychology and artificial intelligence. He is part of the Scottish Administrative Data Research Centre; the Centre for Population Change; the Scottish Civil Society Data Partnership; and the Scottish Longitudinal Study of Ageing (HAGIS).
Alasdair sits on the Scottish Third Sector Research Forum and is a board member of Age Scotland.
Dr Louise McCabe
Dr Louise McCabe is a senior lecturer in dementia studies at the University of Stirling and has worked in the field of dementia studies in both practice and academia for over fifteen years, starting her career as a care worker in residential homes for older people. Louise has been a lecturer in dementia studies since 2005 and was part of the team that developed the first online MSc in Dementia Studies programme, which celebrates its 10th anniversary in 2013. In addition, Louise has an active research career and has been involved with many research and evaluation projects focused on improving the lives of people with dementia and their carers.
Dr. Feifei Bu
Dr. Feifei Bu is a research fellow at the Faculty of Social Sciences. She obtained her doctorate degree in 2015 from the University of Essex. Her PhD dissertation was on adolescents’ educational and occupational aspirations and their later life outcomes. Her current research agenda is focused on the influences of population aging, health and social care for older people, and health costs etc. She has particular expertise in quantitative methodologies including multilevel modelling, panel methods, structural equation modelling and missing data analysis.
Feifei has particular expertise in quantitative methodologies including multi-level modelling, panel methods, structural equation modelling and missing data analysis.