MS-CATCH (Care technology to Ascertain, Treat, and engage the Community to Heal depression in patients with Multiple Sclerosis) is a behaviorally informed, digital health, closed-loop-intervention that brings longitudinal mood reporting into the point of care. It consists of a simple tool used by the patient to improve mood reporting. This then triggers real-time alerts delivered to the clinician, who can access a comprehensive dashboard featuring risk factors and interventions to be considered, as well as resources local to the patient. This dashboard launches straight from the patient's electronic health record (EHR). MS-CATCH was designed using extensive human-centered design in all phases of development, and HIPAA compliant REDCap for electronic data capture. While the tool requires institutional approvals to launch within the UCSF EHR, the design elements could be readily repurposed using these technologies to support other institutions' requirements. Each individual care component and visualization was then developed and refined using extensive stakeholder engagement and an eye to the COM-B (Capability, Opportunity, and Motivation to change Behavior) principles of behavioral change, in order to promote behaviors likely to improve depression reporting, screening, comprehensive treatment and follow through.
The researchers want to find out if an electronic application called MS CATCH can enhance patients' and doctors' experiences during and in between clinical visits. MS CATCH is a smartphone-based tool which allows patients to enter their mood related symptoms at regular intervals, which is then available to their Neurologist in their electronic medical record. The neurologist is also able to view additional information from their medical record, and receives alerts for changes reported by the patient that raise concern for the patient's mental health.