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The study team will use components of the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework to compare Cognitive Adaptation Training (CAT) to Remotely delivered Cognitive Adaptation Training (R-CAT) 1-9 within a managed care organization (MCO), targeting members with serious mental illness (SMI) needing assistance with the regular taking of medication.
Full description
Individuals choosing or assigned to R-CAT will continue treatment as usual with their health care team and R-CAT will be added. R-CAT is a remotely delivered version of CAT focused on medication adherence using a series of manual-driven compensatory strategies and environmental supports (signs, checklists, electronic cueing devices) based upon a streamlined assessment of executive function impairment and barriers to habit formation including forgetfulness, difficulties in problem-solving, disorganization, apathy or amotivation, disinhibition. and home environment. Initial R-CAT goals are to 1) ensure that medications listed as prescribed are available 2) to assess current cognitive, behavioral and environmental facilitators and barriers to habit-formation 3) to set up customized CAT supports to address the barriers and use facilitators to build habits to take medication. Rare home visits may occur if issues cannot be resolved remotely. Based upon the pilot, the study team don't anticipate any more than 5-10% of individuals to need face-to-face visits. No one had home visits as part of the pilot intervention. A structured R-CAT treatment note with places for pictures of CAT interventions is used for home visits. Support and reminder calls use a brief checklist modified from the Healthy Habits Program to address issues in use of supports, placement of supports and habit formation. Examples of CAT interventions to promote taking medication regularly appear above. All home visits and phone calls will be audio-taped (with consent) for quality assurance.
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56 participants in 2 patient groups
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Central trial contact
Feiyu Li, PhD; Dawn Velligan, PhD
Data sourced from clinicaltrials.gov
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