Voice Technology for Mild Cognitive Impairment
This study is testing a program that uses voice-activated smart speakers (like Amazon Echo) and a Fitbit Versa to help people with mild cognitive impairment (MCI) better manage their long-term health conditions. The goal is to see if these technologies can help you with daily tasks, reminders, and learning new technology. We're looking for about 20 participants, aged 55 and older, who live alone independently, have an annual income under $30,000, and have one or more chronic conditions. We'll measure how well people use the system and if it helps them feel more confident in managing their health over three months.
- Study design
- This is an interventional study with 20 planned participants. It is not specified if it is randomized or blinded.
- What's involved
- You will attend one in-person visit lasting 90-120 minutes. You will complete questionnaires and choose three smart speaker tasks. You will use an Echo Show and Fitbit Versa daily for three months.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed for three months after starting the intervention.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Voice Technology-Based Self-Management Intervention
At a glance
Conditions
NCT06982261
Where you'd take part
This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
Emory University
Atlanta, Georgiano site contact published
Recruiting
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Study leadership
- Jane Chung, PhD, RN · PRINCIPAL_INVESTIGATOR · Emory University - Nell Hodgson Woodruff School of Nursing
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
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Inclusion
Exclusion
What this trial measures
- Retention Rate3 months
Retention rate will be measured by the number of individuals who continue participating in a program for up 3 months
- System Usability ScaleBaseline, 2 months, and 3 months
Acceptance will be measured using the System Usability Scale (SUS) that is a widely used, validated tool for measuring the perceived usability of a system (e.g., software, website, device). It consists of 10 items, each rated on a 5-point Likert scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). The researcher will modify the wording slightly to make the questions appropriate for the technology system being evaluated. Score \> 68: Above average usability Score = 68: Average usability benchmark Score \< 68: Below average usability
- Patient-Reported Outcomes Measurement Information System (PROMIS) Item Bank v1.0 Self-Efficacy for Managing Chronic Conditions - Managing Medications and TreatmentBaseline, 2 months, and 3 months
The PROMIS Item Bank v1.0 Self-Efficacy measure assesses self-reported current level of confidence in managing chronic conditions, with a focus on managing medications and treatment regimen related to chronic health conditions. It consists of 26 items, each rated on a 5-point Likert scale ranging from 1 (not at all confident) to 5 (very confident). Raw scores (sum of item responses) are converted to T-scores using the PROMIS scoring system. A score of 50 is the average for the United States general population, with a standard deviation of 10. Higher T-scores indicate greater self-efficacy in managing medications and treatment.
- Self-Care of Chronic Illness Inventory (V.4C)Baseline, 2 months, and 3 months
The Self-Care of Chronic Illness Inventory (SC-CII) version 4c is a validated tool designed to assess self-care behaviors in individuals managing chronic illnesses. Each item within the SC-CII is rated on a 5-point Likert scale, typically ranging from 1 ("Never") to 5 ("Always"). It evaluates self-care across three key domains: Self-Care Maintenance (Section A), Self-Care Monitoring (Section B), and Self-Care Management (Section C). Also, it examines Self-Care Confidence (Section D). Scores for each domain are calculated by summing the item responses within that domain. Higher scores indicate better self-care behaviors in the respective domain. A standardized score of 70 or above in any domain is generally considered indicative of adequate self-care. Scores below 70 may suggest areas where the individual could benefit from additional support or intervention to enhance self-care practices.
- Modified Computer Self-Efficacy ScaleBaseline, 2 months, and 3 months
Modified Computer Self-Efficacy Scale (mCSES) is a modification of Compeau and Higgins 10-item Computer Self-Efficacy Scale, developed to make it applicable for clinical settings (for use with older people or people with disabilities using everyday technologies). The questions ask to indicate whether "you could use this unfamiliar technology under a variety of conditions". Rated on a 10-point scale of confidence. Principal components analysis yields a two-factor structure: 1. Using the Technology Alone (e.g., "If there was no one around to tell me what to do as I go"), and 2. Using the Technology with the Support of Others (e.g., " If someone else had helped me get started"). Participants with higher levels of technology self-efficacy would be more frequent users of everyday technology.
- Patient-Reported Outcomes Measurement Information System (PROMIS)-29 Adult Profile questionnaireBaseline, 2 months, and 3 months
The PROMIS-29 Adult Profile measure assesses pain intensity using a single 0-10 numeric pain rating item and seven health domains using four items each: physical functioning, fatigue, pain interference, depression, anxiety, ability to participate in social roles and activities, and sleep disturbance. Each item is rated on a Likert-type scale, typically 1 (not at all) to 5 (very much), with response options indicating the frequency or severity of symptoms or experiences. For most PROMIS instruments, a score of 50 is the average for the United States general population, with a standard deviation of 10. Higher scores for Depression, Fatigue, Sleep Disturbance, and Pain Interference indicate worse health than average.
- Engagement in Self-Management Behaviors determined by smart speaker interaction logs2 months and 3 months
The research team will extract the text-based Alexa usage data showing verbal commands used by each participant to examine types of verbal commands, frequency, and regularity of smart speaker use to determine participants' engagement in self-management behaviors.