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Evaluation ViewAttendees 5

Category: Research Methods and Statistics

Symposium 24 - Using Data-driven Methods to Inform "Precision Care"

Friday, November 17, 2023
12:30 PM – 1:30 PM PST
Location: Washougal (408), Level 4
CE: 1

Keywords: Service Delivery, Technology / Mobile Health, Treatment Development
Level of Familiarity: Moderate
Recommended Readings: DeRubeis, R. J. (2019). The history, current status, and possible future of precision mental health. Behaviour Research and Therapy, 123, 103506. https://doi.org/10.1016/j.brat.2019.103506,   Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2018). Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine, 52(6), 446-462. https://doi.org/10.1007/s12160-016-9830-8,  

Balaskas, A., Schueller, S. M., Cox, A. L., & Doherty, G. (2021). Ecological momentary interventions for mental health: A scoping review. PloS one, 16(3), e0248152. https://doi.org/10.1371/journal.pone.0248152

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Heterogeneity in the nature of clinical presentations, prognostic possibilities, and individuals’ characteristics and preferences highlight the importance of delivering interventions that more precisely fit an individual’s needs (hereafter referred to as “precision care”; Bickman et al., 2016). In fact, tailoring evidence-based treatments into clinical practice has been a longstanding tradition in the field of clinical psychology (Paul, 1967). However, challenges remain in the personalized selection and implementation of interventions. For one, research that informs evidence-based treatments often prioritizes nomothetic (i.e., group-level) empirical findings from which population-level inferences are drawn rather than idiographic (i.e., individual-level) findings that are reflective of natural experiences (Molenaar & Campbell, 2009), making it difficult to directly translate research findings to personalized care. The same challenge applies to innovative forms of interventions (e.g., digital interventions) designed to facilitate broader dissemination of care, as we lack sufficient answers to questions including what intervention to provide, what targets to treat, and when an optimal timing of intervention is for a given individual. 

 

Advanced quantitative methods coupled with intensive longitudinal individual-level data hold promise for guiding the delivery of “precision care” by more accurately modeling the dynamic needs of individuals (DeRubeis, 2019). In this talk, we present various attempts to identify optimal opportunities to provide clinical interventions and/or mental health resources. We will also discuss next steps towards ultimately providing care in the context where an individual would need and benefit from it.

Learning Objectives:

At the end of the session, the learner will be able to:
  • Explain the benefits of precision mental health care.
  • Explain challenges in the personalized implementation of clinical interventions.
  • Describe strategies to analyze intensive longitudinal data.
  • Describe strategies pertaining to identifying needs and preferences for intervention.
  • Explain directions in promoting precision mental health care.