Research Team
Participation in meaningful activities and occupations according to personal values and choices is one of the central components of health and well-being. One of the most vulnerable populations for restrictions in participation in daily life activities and occupations is people with mental health conditions.
With the ultimate goal to enable full occupational participation and community integration of people with mental health conditions, contributing to their health and well-being, our lab works toward 3 major objectives:
- Investigate unique patterns of participation and occupational balance in various mental health condition;
- Reveal factors underlying participation in daily-life meaningful occupations of people with mental health condition;
- Promote practices (assessment tools and interventions) encouraging participation and health in these conditions.
Our research is inspired by clinical work with people with mental health conditions and we highly committed to knowledge translation processes. We use a range of research approaches and tools in our work, including innovative technologies and methods in EEG, eye-tracing, Virtual Reality and mobile platforms working collaboratively with many disciplines.
Our projects
Our lab projects include investigation andcultural adaptation of the following tools:
Assessments
Profiles of Occupational Engagement of People with Serious Mental Illness (POES) (Bejerholm & Ukland, 2006), Hebrew version
Official translationKohlman Evaluation of Living Skills (KELS)- 4th Edition (Kohlman-Tompson et al, 2016), Hebrew version
Official websiteUCSD Performance-Based Skills Assessment (Harvey et al., 2007), Hebrew version
Official websitePerformance Assessment of Self Care Skills (Rogers & Holm, 2016), Hebrew version
Read moreInterventions
Occupational Connections (Lipskaya-Velikovsky et al., 2020)
Read moreIn addition, we use the following technologies for investigation and promotion of participation in meaningful daily life occupations: EEG markers, such as Brain Engagement Index, eye-tracking, and VR.
