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Accepted for/Published in: JMIR Formative Research

Date Submitted: Sep 16, 2022
Open Peer Review Period: Sep 14, 2022 - Nov 9, 2022
Date Accepted: Nov 29, 2022
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Remote Cognitive Screening Of Healthy Older Adults for Primary Care With the MyCog Mobile App: Iterative Design and Usability Evaluation

Young SR, Lattie EG, Berry AB, Bui L, Byrne GJ, Yoshino Benavente JN, Bass M, Gershon RC, Wolf MS, Nowinski CJ

Remote Cognitive Screening Of Healthy Older Adults for Primary Care With the MyCog Mobile App: Iterative Design and Usability Evaluation

JMIR Form Res 2023;7:e42416

DOI: 10.2196/42416

PMID: 36626223

PMCID: 9875000

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Remote Cognitive Screening in Primary Care via an mHealth App: A Formative Usability Evaluation of MyCog Mobile

  • Stephanie Ruth Young; 
  • Emily Gardiner Lattie; 
  • Andrew BL Berry; 
  • Lynn Bui; 
  • Greg Joseph Byrne; 
  • Julia Noelani Yoshino Benavente; 
  • Michael Bass; 
  • Richard C Gershon; 
  • Michael S Wolf; 
  • Cindy J Nowinski

ABSTRACT

Background:

Annual cognitive screening in adults over age 65 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 prior to a visit has the potential to save primary care clinics time, encourage broader screening practices, and increase early detection of cognitive decline.

Objective:

We describe the design and proposed implementation of a remote cognitive screening app, MyCog Mobile, to be completed on a patient’s smartphone prior to an annual wellness visit. Research questions included: 1) What would motivate primary care clinicians and clinic administrators to implement a remote cognitive screening process?; 2) How might we design a remote cognitive screener to fit well with existing primary care workflows?; 3) What would motivate an older adult patient to complete a cognitive screener on a smartphone prior to a primary care visit?; and 4) 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 foundational 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 semi-structured interviews with 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 (S-SUS) and After Scenario Questionnaire (ASQ).

Results:

Clinicians and clinic administrators were motivated to switch to a remote cognitive screening process if it saved time in their workflows. Findings from interviews and user journey mapping informed the proposed implementation and core functionality of MyCog Mobile. Older adult participants were motivated to complete cognitive screeners to ensure they were cognitively healthy and saw additional benefits to remote screening such as saving time during their visit and privacy. Older adults also identified challenges to remote smartphone screening, which informed the user experience design of the MyCog Mobile app. The average rating across prototype versions was 91 (SD 5.18) on the S-SUS and 6.13 (SD 8.40) on the ASQ, indicating above average usability.

Conclusions:

Through an iterative, human-centered design process, we were able to develop a viable remote cognitive screening app and proposed implementation strategy for primary care settings that was optimized for multiple stakeholders. Next steps include validating the cognitive screener in clinical and healthy populations and piloting the finalized app in a community primary care clinic.


 Citation

Please cite as:

Young SR, Lattie EG, Berry AB, Bui L, Byrne GJ, Yoshino Benavente JN, Bass M, Gershon RC, Wolf MS, Nowinski CJ

Remote Cognitive Screening Of Healthy Older Adults for Primary Care With the MyCog Mobile App: Iterative Design and Usability Evaluation

JMIR Form Res 2023;7:e42416

DOI: 10.2196/42416

PMID: 36626223

PMCID: 9875000

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