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Obsessive Compulsive and Related Disorders

Longitudinal ecological momentary assessment of obsessive compulsive disorder

(PS2-81) Longitudinal Ecological Momentary Assessment of Obsessive Compulsive Disorder

Friday, November 15, 2024
10:00 AM – 11:00 AM EST
Location: Franklin Hall, Level 4, Marriott Downtown
Abstract Text:







1. Problem or Major Purpose








Obsessive-compulsive disorder (OCD) is a serious and persistent mental illness with an approximately three percent lifetime prevalence rate in U.S adults (Ruscio et a., 2010). One possible opportunity for improvements in assessment of OCD involves a move toward an idiographic approach to the study of intrusive thoughts and OCD symptom interactions that may be unique to the individual (Fisher, 2015; Molenaar, 2009; Hayes et al. 2020). Rather than relying on retrospective self-reports, an idiographic approach is strengthened by using ecological momentary assessment (EMA) that includes frequent assessment over time, usually multiple weeks (Shiffman et al., 2008; Hayes et al., 2020). Thus data can then be used to construct individualized network models representing relationships between symptoms, other psychological experiences, and contextual factors.
B. Procedure
The study will seek to create individualized networks of clinically significant intrusive thoughts using EMA data collection over the course of 14 days. Participants will receive notifications to complete EMA every day, six times per day, for two weeks using secure software that will be installed on their personal smartphones. The EMA will consist of self-reports about engaging in obsessions and compulsions and OCD-relevant processes during the previous two hours.
C. Results
Data collection for this project is completed. However, the analysis and interpretation of the results has not been completed at this time. Using EMA data, individual networks will be estimated for each participant which will inform which variables are the most clinically relevant for each individual. Furthermore, examination of network node clusters and measures of centrality will hopefully provide insight into the heterogeneous nature of OCD presentations.
D. Conclusions and Implications.
The proposed studies have the potential to provide crucial information toward improving methods of assessment of OCD symptom presentations at the individual level.