Remote Cognitive Screening Of Healthy Older Adults for Primary Care With the MyCog Mobile App: Iterative Design and Usability Evaluation
Amaryllis Mavragani, Judith Borghouts, Calista Leung, Drashko Nakikj, Joyce Chan, Stephanie Ruth Young, Emily Gardiner Lattie, Andrew B L Berry, Lynn Bui, Greg Joseph Byrne, Julia Noelani Yoshino Benavente, Michael Bass, Richard C Gershon, Michael S Wolf, Cindy J Nowinski
Abstract
'Joyce Chan' 'Stephanie Ruth Young' 'Emily Gardiner Lattie' 'Andrew B L Berry' 'Lynn Bui' 'Greg Joseph Byrne' 'Julia Noelani Yoshino Benavente' 'Michael Bass' 'Richard C Gershon' 'Michael S Wolf' 'Cindy J Nowinski'] Background Annual cognitive screening in adults aged >65 years can improve early detection of cognitive impairment, yet less than half of all cases are identified in primary care. Time constraints in primary care settings present a major barrier to routine screening. A remote cognitive screener completed on a patient’s own smartphone before a visit has the potential to save primary care clinics time, encourage broader screening practices, and increase early detection of cognitive decline. Objective We described the iterative design and proposed the implementation of a remote cognitive screening app, MyCog Mobile, to be completed on a patient’s smartphone before an annual wellness visit. The research questions were as follows: What would motivate primary care clinicians and clinic administrators to implement a remote cognitive screening process? How might we design a remote cognitive screener to fit well with existing primary care workflows? What would motivate an older adult patient to complete a cognitive screener on a smartphone before a primary care visit? How might we optimize the user experience of completing a remote cognitive screener on a smartphone for older adults? Methods To address research questions 1 and 2, we conducted individual interviews with clinicians (n=5) and clinic administrators (n=3). We also collaborated with clinic administrators to create user journey maps of their existing and proposed MyCog Mobile workflows. To address research questions 3 and 4, we conducted individual semistructured interviews with cognitively healthy older adults (n=5) and solicited feedback from a community stakeholder panel (n=11). We also tested and refined high-fidelity prototypes of the MyCog Mobile app with the older adult interview participants, who rated the usability on the Simplified System Usability Scale and After-Scenario Questionnaire.
§ The Valyu brief
Reading the full paper and taking notes. This takes a few seconds…
§ Ask this paper
Ask a question about this paper
Valyu reads the full text and answers from what the paper actually says.
Searching the other archives…