Methodological challenges in research on physical-mental health multimorbidity
Physical-mental health multimorbidity is common and its occurrence is increasing. Research in this area is needed to better understand the relationship between physical and mental health conditions – however, measuring mental health conditions and more widely, multimorbidity, is complicated.
Researchers from two MRC/NIHR funded projects, which are examining physical-mental health multimorbidity, will present findings from their work and lead discussion on challenges surrounding this research.
The programme will examine a number of key challenges in this field including:
- optimal ways of defining depression and other morbidities/multimorbidity in both research cohorts and routine data
- methods for clustering morbidities in cross-sectional and/or longitudinal data
Please Register to join via Zoom webinar
Please contact Usher Communications for further details.
Programme
09:15 Platform opens for attendees to log in
09:30 Welcome & overview - Bruce Guthrie, The University of Edinburgh
Session 1 – Measuring multimorbidity
09:50 Talk 1: Variation in the definition and measurement of multimorbidity in research - Iris Ho, The University of Edinburgh
10:00 Talk 2: How to operationalize physical and mental health conditions using routine records - Regina Prigge, The University of Edinburgh
10:10 Talk 3: How to efficiently harmonise data across different birth cohorts for multimorbidity research - Jorge Arias de la Torre, King's College London
10:20 Questions and discussion
10:40 Break
10:55 Talk 4: Defining depression in health datasets - Kelly Fleetwood, The University of Edinburgh
11:05 Talk 5: Pooled cohort data: challenges and remedies to temporal variability in depression measurements and its consequence for multimorbidity trajectory - Alexandru Dregan, King's College London
11:15 Questions and discussion
Session 2 – Methods for clustering and trajectories
11:30 Talk 6: A comparison of methods for identifying multimorbidity patterns - Amy Ronaldson, King's College London
11:40 Talk 7: Modelling trajectories of disease in multimorbidity for the population of Wales - Rhiannon Owen, Swansea University
11:50 Talk 8: On clustering of multiple long term conditions: what can we do more with machine learning? - Sohan Seth, The University of Edinburgh
12:00 Questions and discussion
12:20 Break
12:30 Chaired panel discussion
Chair: Caroline Jackson, The University of Edinburgh
Panel: Alexandru Dregan, Bruce Guthrie, Rhiannon Owen
12:50 Closing remarks - Bruce Guthrie
13:00 Close
Download the programme PDF
Methodological challenges in research on physical-mental health multimorbidity
Virtual event