Sharing patient technology preferences with care networks: Stakeholders’ views of the “Let’s Talk Tech” decision aid for dementia care

Topic: Risk, prevention and care in population studies

BackgroundLet's Talk Tech (LTT) is a self-administered web intervention for people with memory loss and their care partners that supports decision-making about digital health technologies. In past work, dyads wanted to share LTT preference reports with their larger care networks.ObjectiveThis study aims to understand with whom care dyads want to share their technology preference reports and why, and if and how clinicians want to receive them.MethodsTogether, fifteen dyads of people living with mild cognitive impairment (MCI) or early-stage dementia (n = 15) and a care partner (n = 15) completed LTT and two survey questions. Care partners completed independent follow-up interviews, and 32 clinicians at four Alzheimer's Disease Research Center-affiliated clinics viewed an LTT report and completed a 10-question survey. We used descriptive statistics for survey responses and thematic analysis for interviews.ResultsTwo-thirds of care partners (n = 10) wanted to share the report with family members. Half (n = 8) wanted to share it with clinicians to keep them informed about the dyad's planning and facilitate conversations about technology options. 30 of 32 clinicians reported they would want their patients' technology preferences reports, with 25 wanting to access it via the electronic health record (EHR).ConclusionsFindings demonstrate potential value to both family dyads and providers of sharing technology preferences beyond the care dyad. Clinicians were highly receptive to accessing technology preference reports in EHRs and to having discussions about technology be a part of advance care planning. Future research should test integration in the EHR and the potential of sharing technology preferences to support person-centered technology choices.

Key findings

• Care partners completed independent follow-up interviews, and 32 clinicians at four Alzheimer's Disease Research Center-affiliated clinics viewed an LTT report and completed a 10-question survey.
• We used descriptive statistics for survey responses and thematic analysis for interviews.ResultsTwo-thirds of care partners (n = 10) wanted to share the report with family members.
• Half (n = 8) wanted to share it with clinicians to keep them informed about the dyad's planning and facilitate conversations about technology options. 30 of 32 clinicians reported they would want their patients' technology preferences reports, with 25 wanting to access it via the electronic health record (EHR).ConclusionsFindings demonstrate potential value to both family dyads and providers of sharing technology preferences beyond the care dyad.
• Clinicians were highly receptive to accessing technology preference reports in EHRs and to having discussions about technology be a part of advance care planning.
• Future research should test integration in the EHR and the potential of sharing technology preferences to support person-centered technology choices.

Why it matters

In this study, most care partners wanted to share technology preference reports with family and clinicians, and 30 of 32 clinicians said they would want such reports. It concerns sharing preferences about digital health technologies, not treating or preventing Alzheimer's disease.

Study details

• Participants15
• Evidence strengthLow

Read the original

• DOI: 10.1177/13872877251332659
• PubMed: 40313054
• Original source →
• Free full text: PubMed Central →

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

@article{berridge2025-40313054,
  author  = {Berridge, Clara W. and Turner, Natalie R. and Lober, William B. and Demiris, George and JEFFREY A., K. A. Y. E.},
  title   = {{Sharing patient technology preferences with care networks: Stakeholders’ views of the “Let’s Talk Tech” decision aid for dementia care}},
  journal = {Journal of Alzheimer s Disease},
  year    = {2025},
  doi     = {10.1177/13872877251332659},
  pmid    = {40313054},
  url     = {https://doi.org/10.1177/13872877251332659}
}

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