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Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50108, first published .
Mindfulness-Based App to Reduce Stress in Caregivers of Persons With Alzheimer Disease and Related Dementias: Protocol for a Single-Blind Feasibility Proof-of-Concept Randomized Controlled Trial

Mindfulness-Based App to Reduce Stress in Caregivers of Persons With Alzheimer Disease and Related Dementias: Protocol for a Single-Blind Feasibility Proof-of-Concept Randomized Controlled Trial

Mindfulness-Based App to Reduce Stress in Caregivers of Persons With Alzheimer Disease and Related Dementias: Protocol for a Single-Blind Feasibility Proof-of-Concept Randomized Controlled Trial

Authors of this article:

Emily C Woodworth1 Author Orcid Image ;   Ellie A Briskin1 Author Orcid Image ;   Evan Plys1, 2 Author Orcid Image ;   Eric Macklin2, 3 Author Orcid Image ;   Raquel G Tatar4 Author Orcid Image ;   Jennifer Huberty5 Author Orcid Image ;   Ana-Maria Vranceanu1, 2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

    Protocol

    1Center for Health Outcomes and Interdisciplinary Research, Massachusetts General Hospital, Boston, MA, United States

    2Harvard Medical School, Boston, MA, United States

    3Biostatistics Center, Massachusetts General Hospital, Boston, MA, United States

    4Healthy Minds Innovations, Madison, WI, United States

    5Department of Medicine, University of Texas Health, San Antonio, TX, United States

    *these authors contributed equally

    Corresponding Author:

    Ana-Maria Vranceanu, PhD

    Center for Health Outcomes and Interdisciplinary Research

    Massachusetts General Hospital

    One Bowdoin Square

    Suite 100

    Boston, MA, 02114

    United States

    Phone: 1 617 643 4123

    Email: avranceanu@mgh.harvard.edu


    Background: Informal caregivers (ie, individuals who provide assistance to a known person with health or functional needs, often unpaid) experience high levels of stress. Caregiver stress is associated with negative outcomes for both caregivers and care recipients. Mindfulness-based interventions (MBIs) show promise for improving stress, emotional distress, and sleep disturbance in caregivers of persons with Alzheimer disease and related dementias (ADRD). Commercially available mobile mindfulness apps can deliver MBIs to caregivers of persons with ADRD in a feasible and cost-effective manner.

    Objective: We are conducting a single-blind feasibility proof-of-concept randomized controlled trial (RCT; National Institutes of Health [NIH] stage 1B) comparing 2 free mobile apps: the active intervention Healthy Minds Program (HMP) with within-app text tailored for addressing stress among caregivers of persons with ADRD, versus Wellness App (WA), a time- and dose-matched educational control also tailored for caregivers of persons with ADRD.

    Methods: We aim to recruit 80 geographically diverse and stressed caregivers of persons with ADRD. Interested caregivers use a link or QR code on a recruitment flyer to complete a web-based eligibility screener. Research assistants conduct enrollment phone calls, during which participants provide informed consent digitally. After participants complete baseline surveys, we randomize them to the mindfulness-based intervention (HMP) or educational control podcast app (WA) and instruct them to listen to prescribed content for 10 minutes per day (70 minutes per week) for 12 weeks. Caregivers are blinded to intervention versus control. The study team checks adherence weekly and contacts participants to promote adherence as needed. Participants complete web-based self-report measures at baseline, posttest, and follow-up; weekly process measures are also completed. Primary outcomes are a priori set feasibility benchmarks. Secondary outcomes are stress, emotional distress, sleep disturbance, caregiver burden, mindfulness, awareness, connection, insight, and purpose. We will calculate 1-sided 95% CI to assess feasibility benchmarks. Effect sizes of change in outcomes will be used to examine the proof of concept.

    Results: Recruitment started on February 20, 2023. We have enrolled 27 caregivers (HMP: n=14; WA: n=13) as of June 2023. Funding began in August 2022, and we plan to finish enrollment by December 2023. Data analysis is expected to begin in May 2024 when all follow-ups are complete; publication of findings will follow.

    Conclusions: Through this trial, we aim to establish feasibility benchmarks for HMP and WA, as well as establish a proof of concept that HMP improves stress (primary quantitative outcome), emotional distress, sleep, and mindfulness more than WA. Results will inform a future efficacy trial (NIH stage II). HMP has the potential to be a cost-effective solution to reduce stress in caregivers of persons with ADRD, benefiting caregiver health and quality of care as well as patient care.

    Trial Registration: ClinicalTrials.gov NCT05732038; https://clinicaltrials.gov/study/NCT05732038

    International Registered Report Identifier (IRRID): DERR1-10.2196/50108

    JMIR Res Protoc 2023;12:e50108

    doi:10.2196/50108

    Keywords

    caregiver; dementia; mindfulness; mobile app; protocol; randomized controlled trial 


    Background

    More than 1 in 5 Americans (ie, approximately 53 million) are informal caregivers [1]. These individuals provide assistance to known persons with physical, mental, or cognitive illness or disability, often unpaid [2]. Almost half of caregivers who provide help to older adults care for someone with Alzheimer disease or related dementias (ADRD) [3]. Caregivers have been dubbed “the hidden patients” because the negative physical and mental health consequences of caregiving are often underrecognized and undertreated [4]. Nearly 60% of caregivers of persons with ADRD experience high levels of psychological stress, and more than 1 in 3 caregivers of persons with ADRD report that their health has deteriorated due to caregiving responsibilities [5]. Some key sources of caregiver stress include ongoing worry about their loved one’s health, concerns about whether they are doing the caregiving job well, challenges navigating regular life in addition to caregiving responsibilities, concerns about the impact of caregiving on their own health, social isolation, and financial strain [6,7]. High caregiver stress is associated with mental health concerns [8], sleep difficulties [9], and an increased risk for morbidity and mortality [10]. In previous studies, 42%-55% of caregivers reported looking for feasible and effective stress management interventions [11]; yet this population often has limited time for outpatient psychotherapy. Given the negative consequences of caregiver stress on the health and well-being of both caregivers and care recipients, decreasing caregiver stress in an accessible delivery format is a public health concern.

    Mindfulness-based interventions (MBIs) show promise as an efficacious nonpharmacological treatment to reduce caregiver stress [2]. Mindfulness meditation is defined as paying attention on purpose, in the present moment, nonjudgmentally [12,13]. Practicing mindfulness is thought to help individuals cultivate acceptance and inner peace, regardless of challenging life circumstances [14-16]. Across many populations, the practice of mindfulness meditation is associated with decreased stress [17,18], improved emotional functioning [19,20], and improved sleep [21,22]. Several recent systematic reviews have supported the effectiveness of MBIs for improving stress, emotional functioning, and sleep in caregivers, including caregivers of persons with ADRD [2,14,17,18,21,23-27].

    Although research has established the benefits of MBIs for caregivers, the prevailing models of delivery of these interventions fall short for several reasons. First, many of these programs are conducted in person [28], which is sometimes not feasible for caregivers’ schedules (eg, needing respite for care recipients) [7]. Second, even when programs have been delivered remotely, these often follow a synchronous format (ie, caregivers must attend remotely at the same time each week), which is challenging given the unpredictability of caregiving responsibilities. Third, traditional programs typically demand substantial amounts of continuous time that caregivers are unable to commit (eg, a traditional mindfulness-based stress reduction program involves 8 weekly 2.5- to 3.5-hour-long sessions as well as 45 minutes of prescribed practice per day) [29]. Fourth, traditional programs require trained providers who are often costly, are not usually covered by insurance, and are not always readily available [30-32]. More feasible, scalable, and cost-effective solutions are needed to deliver MBIs to caregivers.

    Mobile mindfulness apps may be uniquely positioned to address the aforementioned barriers by allowing caregivers to practice meditation on their own schedule at little or no cost. The majority of caregivers own a smartphone and regularly use mobile apps [33]. Additionally, adults aged 50 years or older, who represent a sizable portion of caregivers of persons with ADRD, are the fastest-rising users of smartphone technology in the past decade [34]. In qualitative studies, caregivers express interest in using mobile apps for stress management and health information [35] including to learn mindfulness meditation for stress management [36-39]. To the best of our knowledge, there are no consumer-based mobile apps with proven efficacy in decreasing stress, emotional distress, and sleep difficulties among caregivers of persons with ADRD [40]. Although mindfulness-based mobile apps show promise for helping caregivers of persons with ADRD decrease stress, emotional distress, and sleep difficulties, additional research is needed to establish feasibility and efficacy before widespread dissemination.

    Healthy Minds Program (HMP) is a mindfulness-based mobile app that may be well suited for use with caregivers of persons with ADRD for several reasons. First, HMP is unique because it teaches mindfulness skills grounded in theory [41] with empirical support [42-44]. Having a theoretical underpinning is important because it allows the app to be a vehicle for the delivery of evidence-based mindfulness skills. Second, previous research has shown that HMP reduced emotional distress and burnout in firefighters [44]; improved psychological distress, stress, social connectedness, and mindfulness in adults [43]; and reduced stress and increased mindfulness, self-compassion, and human flourishing in medical students [42]. Third, HMP is free of charge, which increases its reach especially among caregivers who often experience financial burdens because of their role. Fourth, HMP has customizable features (eg, a diverse set of voices to choose from) that have the potential to increase acceptability across race, ethnicity, and gender. Finally, HMP supports content tailoring to include on-screen language and scenarios that are relevant for caregivers of persons with ADRD.

    Here, we will be conducting a National Institutes of Health (NIH) stage 1B trial (NCT05732038) comparing HMP with a time- and dose-matched educational control app, Wellness App (WA). Our team tailored the content of both apps to highlight case scenarios specific to caregivers of persons with ADRD. Both interventions (HMP and WA) consist of 12 weeks of guided listening for 10 minutes per day. Participants complete outcome measures at baseline, posttest, and follow-up (2 months after posttest), as well as weekly process measures.

    Objectives

    The purpose of this paper is to describe the protocol and status of our ongoing single-blind feasibility proof-of-concept randomized controlled trial (RCT) of HMP versus WA in caregivers of persons with ADRD. Our primary hypothesis is that HMP and WA will meet a priori feasibility markers (ie, acceptance and demand benchmarks). Our secondary hypothesis is that participation in HMP will be associated with a greater decrease in caregiver stress (primary quantitative outcome), emotional distress, sleep dysfunction, and caregiver burden, and a greater increase in mindfulness, awareness, connection, insight, and purpose (secondary quantitative outcomes) compared with WA, and improvement will be sustained through the 20-week follow-up. Results will directly inform an NIH stage 2 fully powered RCT of HMP versus WA.


    Study Design and Setting

    This NIH stage 1B, single-blind, feasibility, proof-of-concept RCT is testing HMP versus WA (time- and dose-matched control) in caregivers of persons with ADRD. Data collection is underway (started in February 2023; n=27 caregivers as of June 2023). We plan to recruit 80 caregivers of persons with ADRD reporting elevated levels of stress. Our institutional review board approved this study (2022P001601). Figure 1 provides an overview of the study design and timeline.

    ‎
    Figure 1. Study design and timeline. HMP: Healthy Minds Program; RA: research assistant; WA: Wellness App.

    Inclusion and Exclusion Criteria

    Table 1 presents the study inclusion and exclusion criteria and rationale. These eligibility criteria were informed by previous MBI studies with caregivers, including those of persons with ADRD [2,14,17,18,21,23-27], as well as a previous study with caregivers funded by the NIH (NCT00177489). The criteria are meant to be as inclusive as possible to maximize generalizability by allowing individuals who self-identify as caregivers to participate rather than requiring a certain number of hours spent caregiving, specific responsibilities, or other criteria.

    Table 1. Study inclusion and exclusion criteria and rationale.
    CriteriaRationale
    Inclusion

    		Age 18 years or olderMost caregivers are adults; study procedures are formulated for adults only

    		English fluency and literacyMeasures, instructions, and app are in English

    		Meeting criteria for being a caregiver (ie, family or friend of a care recipient who provides care not through an agency) [2]Population

    		Perceived Stress Scale (4 items) version ≥6 [45]Population; ensure that the intervention is needed (not all caregivers experience caregiver stress)

    		Willing to be randomizedNecessary for scientific rigor

    		Care recipient must be rated >1 on the Functional Assessment Staging Tool [46]Population; ensure that caregivers have a threshold of caregiving tasks
    Exclusion

    		Any planned change in psychotropic pharmacologic treatment for the duration of the studyTreatment confound

    		Use of any consumer-based mindfulness meditation app for more than 60 minutes per month in the past 6 monthsTreatment confound

    		Current participation in a meditation program (eg, mindfulness-based stress reduction, mindfulness-based cognitive therapy, etc)Treatment confound

    		Major illness anticipated to worsen dramatically or require surgery in the next 20 weeks (study duration)Treatment confound

    		Active treatment for cancer (chemotherapy or radiation)Treatment confound

    		Imminent placement of care recipient in a nursing home or with another caregiver (within 4 months)Treatment confound

    		Involvement in another clinical trial for caregiversTreatment confound

    		For participants aged 65 years and older: Short Portable Mental Status Questionnaire: ≥4 errors [47]Validity and feasibility

    Recruitment and Screening

    For this trial, we are focused on recruiting geographically, racially, and ethnically diverse informal caregivers to ensure generalizability. We have established partnerships with a variety of organizations dedicated to supporting caregivers and care recipients (eg, National Alliance of Caregiving and Boston Ministerial Alliance) that share our recruitment materials (eg, flyer) on social media and listservs. Additionally, we directly contact caregivers from our previous nonclinical trial studies that indicated interest in learning about additional research opportunities. Interested caregivers use a link or QR code on flyers, social media ads, and email blasts to fill out a web-based eligibility questionnaire through REDCap (Research Electronic Data Capture; Vanderbilt University) [48]. Caregivers who want more information on the study can contact the research assistant (RA) before completing the screening in REDCap. Ineligible caregivers receive an on-screen message at the end of the screening in REDCap notifying them of their ineligibility along with a link to a resource sheet. For participants who meet initial eligibility criteria, a final survey page appears where they confirm their interest in participating and provide suitable times for a 20- to 30-minute enrollment phone call. During this call, the RA administers the Short Portable Mental Status Questionnaire (SPMSQ; for those over the age of 65 years) [47] and the Functional Assessment Staging Tool (FAST) [46] to finalize eligibility criteria.

    Ensuring Validity of Participant Data by Avoiding “Imposter” Participants

    Previous research has shown that remote studies have an increased risk of enrolling “imposter” participants (ie, participants who misrepresent themselves to appear eligible for a study) [49,50]. In a web-based study using MTurk (a crowdsourcing service), Hydock [49] found that more than 12% of participants falsified their identities “for the chance of financial gain.” To address this concern, our team has identified “red flags” that suggest that a participant is misrepresenting their identity and requires additional attention and screening, including (1) large volumes of back-to-back inquiries following a similar format (eg, all emails are firstnamelastname ####@gmail.com), (2) spelling mistakes and grammatical errors, (3) incorrect or inconsistent survey responses (eg, one participant wrote they heard about this study on Craigslist), (4) providing out-of-service or Google Voice (Google LLC) numbers (the use of Google Voice numbers has been cited as a commonality among many imposter participants [51]), (5) poor sound quality during phone calls, and (6) exaggerated or illogical statements during phone calls (eg, stating, “I take my father with advanced dementia to the gym and we work out together”). These are not exclusion criteria but rather indicate to the research team that it is possible that the inquiry about the study was made by a potential imposter participant.

    Our team has developed a protocol to prevent imposter participants from enrolling. First, when participants inquire about the study on public-facing platforms (eg, “Rally,” a web-based platform for advertising research studies across our hospital system), we call them before sending the link to the screening survey. This has been cited in other studies as a strategy to eliminate imposter participants [51]. Second, we have used a “three-strike” system. Once a potential participant has displayed 3 red flags (described above), they are no longer considered eligible for this study. We move these participants to the “suspected imposter” section of our log and do not continue contact attempts; we have noticed that the more we engage with potential imposter participants, the more false inquiries we receive. Third, we do not provide compensation for the completion of baseline assessments; instead, our compensation is divided up between posttest and follow-up, which discourages imposter participants who might enroll for the baseline compensation and then drop out. So far, we have identified 44 suspected imposter participants (approximately 36%) out of the 123 inquiries we have received. We acknowledge that these procedures have the potential to exclude eligible participants (ie, false negatives); however, as a team, we agreed to prioritize the integrity of the data for this small-scale feasibility RCT.

    Enrollment

    If participants are deemed eligible during the enrollment call, the RA reviews the consent form, answers any questions, and assists the participant with signing the consent form by electronic consent on REDCap. Once the consent form has been signed, the RA emails baseline surveys to the participant through REDCap. Study staff randomize the participants after baseline completion. Our senior biostatistician programmed randomization into REDCap and stratified by gender (given that caregivers tend to be women) [1]. The RA emails the participant instructions to download and login to their assigned app (HMP or WA). To protect participant confidentiality, the study team creates accounts with study-specific login email addresses (eg, mghstridestudy+1@gmail.com and mghstridestudy+2@gmail.com) so there are no personal identifiers (eg, email, name, and date of birth) associated with participants’ accounts. The spreadsheet containing login information and the corresponding participant’s information is stored in a secure, password-protected database. After receiving instructions and login information, participants have the option of scheduling a phone call or Zoom (Zoom Video Communications) meeting with the RA to assist with setting up their app. Figure 2 summarizes the recruitment and enrollment procedures.

    ‎
    Figure 2. Recruitment and enrollment procedures. FAST: Functional Assessment Staging Tool; HMP: Healthy Minds Program; SPMSQ: Short Portable Mental Status Questionnaire; WA: Wellness App.

    Treatment Conditions

    Participants in both treatment conditions (HMP or WA) listen to prescribed guided listening on a mobile app for at least ten minutes per day (70 minutes per week) for 12 weeks. Participants download their assigned app through the Google Play (Google LLC) or Apple App (Apple Inc) Store, and participants are blinded to the condition (ie, intervention or control). Participants can complete their daily listening at any time of day. Both apps suggest a specific ordering of the audio clips, but participants can choose to listen to any audio content within the app based on their preferences—the only requirement is that they listen for at least 10 minutes per day. Participants are encouraged to turn on “push notifications” to remind them to do their daily listening, but this is not mandatory. Both apps allow participants to view their daily listening history and mark which content has already been listened to.

    Healthy Minds Program

    Full details on the HMP app can be found on the web at Healthy Minds Innovations [52]. In summary, HMP is a self-guided meditation app that includes training in mindfulness through the 4 “pillars” of mental training: awareness, insight, connection, and purpose. Guided listening in each pillar trains listeners to be more focused and self-aware in the present moment (awareness), develop skills to strengthen compassionate connection with others (connection), learn about how a person’s thoughts affect their emotions (insight), and stay more grounded in one’s values and principles (purpose) [41,52]. Each pillar contains guided listening consisting of brief lessons labeled “learn” and meditations labeled “practice.” Participants are asked to complete at least 10 minutes of “practice” each day (meditations can be set for 5, 10, 15, 20, or 30 minutes) and are encouraged to listen to the “learn” content in conjunction with their practices. Participants have the choice to make any meditation “sitting” or “active” and can also select the speaker of each meditation, allowing for racial, ethnic, and gender diversity of the speaker. Our multidisciplinary team tailored the HMP app text that introduces and describes the mindfulness exercises to include language, case-based scenarios, and stressors that are common among caregivers of persons with ADRD (eg, gratitude for positive aspects of caregiving).

    Wellness App

    WA is an investigator-developed time- and dose-matched control that offers daily caregiver-related guided listening consisting of knowledge-based podcasts for the 12-week intervention. If podcasts are longer than 10 minutes, caregivers are instructed to spread the listening out over multiple days to ensure that they are only listening for 10 minutes per day. All podcasts were individually selected by the study team to ensure that their content was relevant for caregivers of persons with ADRD. Examples of topics include “money and the unique needs of the older caregiver” and “how dementia affects sleep cycles.” Study staff also listened to ensure that no skills related to mindfulness or meditation were taught in any podcast to remove potential confounds. On the basis of feedback from 13 WA participants, we reviewed participant ratings of podcast quality and updated content to best meet the needs of participants in the control. For example, we replaced “overly negative” or “boring” content with more uplifting stories or engaging podcasts. The app has successfully been used as a control in multiple previous studies testing app-based meditation interventions [53,54].

    Strategies for Adherence

    Regardless of group, participants are sent a text message each Monday of the intervention reminding them to listen to their daily content for at least ten minutes per day (ie, 70 minutes per week). This text message also includes a brief weekly survey with process measures (Textbox 1). Study staff members download and review participants’ listening data each Thursday. If a participant does not listen to at least 75% of their recommended listening in the past week (ie, <52.5 total minutes), a study staff member texts the participant a visual (ie, a “meme”) reminder catered toward their treatment condition (Multimedia Appendix 1). If participants do not consent to “meme” reminders, they receive a text message catered to their treatment condition instead (Multimedia Appendix 2). Participants who do not consent to receive text messages receive all reminders and surveys through email. If a participant does not listen to at least 75% of their recommended listening for 2 consecutive weeks, a study staff member calls this participant to troubleshoot potential barriers to adherence. Participants are also offered a monetary incentive for participating in the study (ie, US $20 for completing their posttest assessment and US $30 for completing their follow-up assessment, for a total of US $50).

    Textbox 1. Secondary outcomes.

    Demographics (pretest)

    • Age; gender; biological sex; sexual orientation; race; ethnicity; educational level; employment status; occupation; income; marital status; housing situation; languages spoken; health insurance status; zip code; importance of religion or faith; mental health history; current psychotropic and pain medication intake; overall physical health status; number of individuals to provide informal caregiving to; patient’s diagnoses; relationship to patient; duration of caregiving; number of hours of caregiving per week; and whether caregiver is living with patient

    Outcome measures (pretest, posttest, and follow-up)

    • Perceived Stress Scale-10 [55,56]: assesses perceived stress using a 5-point Likert scale
    • Hospital Anxiety and Depression Scale [57]: 14-item measure to assess symptoms of emotional distress (anxiety and depression)
    • Patient-Reported Outcomes Measurement Information Systems (PROMIS) Sleep Disturbance Short Form [58]: 8 items assessing sleep
    • Applied Mindfulness Process Scale [59]: assesses mindfulness in 3 domains: decentering, positive emotion regulation, and negative emotion regulation
    • Caregiver Reaction Scale [60]: assesses caregiver burden. We are administering the following subscales: role entrapment (4 items); role overload (4 items); mastery as a caregiver (4 items); self-mastery (4 items); workplace productivity (5 items)
    • Healthy Minds Index [61]: a 17-item measure based on the Healthy Minds Program framework that assesses awareness, connection, insight, and purpose

    Process measures (weekly)

    • Emotional Distress Thermometer: scale (0-10) to assess how caregivers rate their level of distress each week: “During the past week, how would you rate your emotional distress on a scale from 0 to 10? (0=not at all; 10=extremely emotionally distressed)”
    • Sleep Thermometer: scale (0-10) to assess how caregivers rate their quality of sleep: “During the past week, how would you rate your quality of sleep on a scale from 0 to 10? (0=extremely low quality; 10=extremely high quality)”
    • Mindfulness Thermometer: scale (0-10) to assess how caregivers rate their level of mindfulness each week: “During the past week, how would you rate your mindfulness on a scale from 0 to 10? (0=not at all; 10=extremely mindful)”
    • Stress Thermometer: scale (0-10) to assess how caregivers rate their level of stress each week: “During the past week, how would you rate your stress on a scale from 0 to 10? (0=not at all; 10=extremely stressed)”

    Other measures (post)

    • Modified Patient Global Impression of Change [62]: a 1-item questionnaire to assess the extent to which caregivers perceive the intervention’s improved functioning and symptoms: “Do you think your ability to manage stress associated with caring for your loved one with dementia is now improved, about the same, or worse, as compared to before your participation in this program?”
    • Perceptions of daily meditations and podcast: we will assess caregivers’ perceptions of their app prescription by asking, “Do you think that the amount of prescribed app content was: too little, just enough, too much?”
    • Perceptions of emails and text reminders: we will assess caregivers’ perceptions of email and text message reminders by asking, “Do you think that the amount of emails/texts you received was: too little, just enough, too much?”
    • Perceptions of the overall study: we will assess caregivers’ perceptions of the study by asking, “Do you have any feedback about your experience in this program (content of the program, content of the text message reminders, etc) that you would like to share?”
    • Perceptions of prompts and contacts in low adherence situations: We will assess caregivers’ perceptions of the number of prompts and contact in situations where they were not adhering to their practice by asking, “Do you think that the amount of prompts you received when you struggled with your practice was: too little, just enough, too much?”

    Feasibility Markers

    Table 2 outlines the a priori set benchmarks and criteria that are consistent with guidelines for early feasibility studies [63]. We will assess the feasibility (acceptability and demand markers) of both mobile app treatment conditions and participants’ perceptions of their involvement in the study.

    Table 2. Primary outcomes.
    Benchmarks and markersDescriptionCriteria
    Acceptability benchmarks

    		Feasibility of recruitmentWe will assess the number of caregivers enrolled from the number of caregivers who were eligible80 caregivers will be recruited in 6 months; ≥70% of eligible caregivers will enroll

    		Treatment satisfactionWe will use the Client Satisfaction Questionnaire [64] to assess caregivers’ satisfaction with the interventionAt least 70% of caregivers will have scores on the Client Satisfaction Scale over and above the midpoint in both the HMPa and WAb groups

    		Credibility and expectancyWe will use the Credibility and Expectancy Questionnaire [65] to assess caregivers’ perceptions that the treatment will work after learning about the study.At least 70% of caregivers will have scores on the Credibility and Expectancy Scale above the midpoint in both the HMP and WA groups.
    Demand benchmarks

    		Adherence to treatmentWe will assess data from the HMP app and the WA to measure adherence to the intervention and the control conditions≥70% of caregivers will complete ≥75% of weekly prescribed minutes

    		DropoutWe will assess the number of caregivers who complete the study from the number of caregivers who started the study>70% of caregivers who start the study will complete posttest assessments; ≤30% attrition
    Data collection benchmarks

    		Feasibility of weekly REDCapc measuresWe will assess the feasibility of the weekly REDCap measures sent to patients≥70% caregivers will answer ≥75% of weekly REDCap measures

    		Feasibility of quantitative measuresWe will assess the feasibility of the quantitative measures sent to caregivers at baseline, postintervention, and follow-upNo questionnaires fully missing in ≥25% caregivers

    aHMP: Healthy Minds Program.

    bWA: Wellness App.

    cREDCap: Research Electronic Data Capture

    Quantitative Assessments

    The self-report measures and assessment domains were selected consistent with the purpose of the study [66]. Demographics are measured pretest, outcome measures are given during the main assessment points (pretest, posttest, and follow-up), and process measures are administered weekly. Textbox 1 provides a brief description of all self-reported assessments.

    Data Analysis

    We will assess the acceptability and demand of the intervention in line with Bowen and colleagues’ standards for feasibility studies and components of the Behavioral Change Consortium’s Treatment Fidelity model [63,67]. Specifically, we will assess the acceptability, credibility, satisfaction, and perceived appropriateness and usefulness of the daily prescribed app content. Benchmarks and measurements for each feasibility construct are listed in Table 2. One-sided 95% CI will be calculated for each proportion to evaluate feasibility benchmarks. Depending on the nature of the estimate or comparison, exact binomial tests, Fisher exact tests, 2-tailed t tests, or correlations may be used to summarize the data and test for statistical significance. HMP and WA user data (ie, what content users listened to, when, and for how long) are collected automatically from users.

    Consistent with guidelines for early feasibility studies, our analysis will not assess efficacy, as we are not powered to do so [68]. However, we will estimate between-group differences in changes from baseline to posttest (12 weeks) to follow-up (20 weeks) as proof of concept that the intervention shows promise with the intended population [63]. Variance components and effect sizes will be estimated for each outcome. We will use variance estimates from repeated-measures analysis of data on Perceived Stress Scale-10 to guide the design and power calculations for a future trial testing efficacy [69,70]. We will compute the effect sizes of change in these scores to cautiously guide future work. Proof of concept will be demonstrated if the decrease in caregiver stress (Perceived Stress Scale-10, the primary outcome in future trials) in the intervention group from baseline to posttest is greater than in the WA group, with at least small to moderate effect sizes favoring HMP (between-group test of superiority).


    The trial is ongoing. As of June 2023, we had enrolled 27 caregivers (14 HMP and 13 WA). We aim to recruit 80 caregivers in total. Table 3 details the select demographics of enrolled participants.

    Table 3. Demographics for enrolled participants.
    VariableParticipants, n (%)
    Gender

    		Women24 (89)

    		Men3 (11)
    Sexual orientation

    		Heterosexual26 (96)

    		Lesbian1 (4)
    Race

    		White24 (89)

    		Black or African American2 (7)

    		More than 1 race1 (4)
    Ethnicity

    		Not Hispanic or Latino or Latina27 (100)
    Income (US $)

    		Chose not to answer4 (15)

    		15,000-29,0003 (11)

    		30,000-49,0002 (7)

    		50,000-69,0001 (4)

    		70,000-99,0009 (33)

    		>100,0008 (30)
    Relationship to care recipient

    		Adult child (caring for parent)12 (44)

    		Spouse11 (41)

    		Friend or nonkin2 (7)

    		Sibling1 (4)

    		Other1 (4)

    Scientific Contribution

    The intervention at present is catered to caregivers’ interest in using mobile apps for stress management and health information [35] including learning mindfulness meditation for stress management [36-39]. This modality addresses barriers to caregiver participation (eg, in-person, synchronous format, time commitment, and cost) for a more feasible, scalable, and cost-effective intervention to reduce stress among this high-need population. The HMP app adapted for caregivers of persons with ADRD seeks to address this clinical gap by testing a no-cost mobile app to reduce stress, emotional distress, and sleep difficulties [40]. This protocol describes an entirely remote, single-blind feasibility, proof-of-concept RCT of HMP versus a time- and dose-matched educational control (WA) in stressed caregivers of persons with ADRD. Our protocol also introduces novel strategies for addressing concerns in mobile app–based RCTs with caregivers, including a protocol for managing “imposter” participants and using “memes” for promoting adherence and engagement.

    Limitations

    There are important limitations to note. First, our initial recruitment efforts have yielded limited diversity in terms of enrolling caregivers from racial and ethnic minoritized (89% White, 100% non-Hispanic) as well as sexual and gender minoritized backgrounds (96% heterosexual, 100% cisgender). We are now modifying recruitment efforts to attempt to recruit a more representative sample (eg, sharing recruitment flyers with community organizations that serve minoritized older adults and caregivers, and developing Instagram advertisements that target geographically diverse populations). Second, we are delivering this program to English-speaking caregivers only. In the future, we hope to offer HMP in different languages. Third, the fully remote nature of the study increases the likelihood of enrolling imposter participants that are not truly caregivers of persons with ADRD but rather seek to participate for financial benefits; see the Methods section for a detailed plan of how we are addressing this issue. Lastly, it is possible that participants may be unblinded if they carry out web searches about our research.

    Conclusions

    In summary, we are currently testing the feasibility and proof of concept of HMP versus a time- and dose-matched health education control (WA). Between February and June 2023, we had 27 caregivers enrolled, and we aim to recruit 80 caregivers in total. At the conclusion of this trial, we will examine whether HMP and WA meet feasibility (acceptability and demand) benchmarks, as well as if HMP demonstrates proof of concept in improving stress, emotional distress, sleep, and mindfulness above WA in stressed caregivers of persons with ADRD. Our findings will inform a future, fully powered RCT of HMP versus WA. This work has the potential to pave the way for feasible, scalable, and cost-effective interventions for caregivers of persons with ADRD.

    Acknowledgments

    This study was funded by grants from the National Institute on Aging (1 R21 AG075187-01A1) and the National Institute Center for Complementary and Integrative Health (1K24AT011760-01) to A-MV.

    Data Availability

    The data sets generated during this study are not publicly available due to the ongoing nature of the trial but will be available from the corresponding author on reasonable request upon conclusion of the study.

    Conflicts of Interest

    RGT is the senior director of measures and research at Healthy Minds Innovations.

    Multimedia Appendix 1

    Visual (ie, “meme”) reminders for low-adherence situations.

    DOCX File , 1219 KB
    Multimedia Appendix 2

    Engaging text message reminders for low-adherence situations.

    DOCX File , 16 KB
    Multimedia Appendix 3

    Peer-review reports from Clinical Management in General Care Settings Study Section, Healthcare Delivery and Methodologies Integrated Review Group, Center for Scientific Review, CMGC, NIH (USA).

    PDF File (Adobe PDF File), 145 KB
    1. Caregiving in the US 2020: infographic. National Alliance for Caregiving and AARP. 2020. URL: https:/​/www.​aarp.org/​content/​dam/​aarp/​ppi/​2020/​05/​infographic-caregiving-in-the-united-states.​doi.​10.​26419-2Fppi.​00103.​002.​pdf [accessed 2023-09-12]
    2. Li G, Yuan H, Zhang W. The effects of mindfulness-based stress reduction for family caregivers: systematic review. Arch Psychiatr Nurs. 2016;30(2):292-299. [CrossRef] [Medline]
    3. Alzheimer's disease facts and figures. Alzheimer's Association. 2023. URL: https://www.alz.org/alzheimers-dementia/facts-figures [accessed 2023-09-12]
    4. Roche V. The hidden patient: addressing the caregiver. Am J Med Sci. 2009;337(3):199-204. [CrossRef] [Medline]
    5. Fact sheet: Alzheimer’s disease caregivers. Alzheimer's Impact Movement, Alzheimer's Association. 2020. URL: https://act.alz.org/site/DocServer/caregivers_fact_sheet.pdf?docID=3022 [accessed 2023-09-12]
    6. Brodaty H, Donkin M. Family caregivers of people with dementia. Dialogues in Clinical Neuroscience. 2009;11(2):217-228. [FREE Full text] [CrossRef]
    7. Evercare® study of caregivers in decline: findings from a national survey. Evercare and National Alliance for Caregiving. 2006. URL: https://www.caregiving.org/wp-content/uploads/2020/05/Caregivers-in-Decline-Study-FINAL-lowres.pdf [accessed 2023-09-12]
    8. Crespo M, López J, Zarit SH. Depression and anxiety in primary caregivers: a comparative study of caregivers of demented and nondemented older persons. Int J Geriatr Psychiatry. 2005;20(6):591-592. [CrossRef] [Medline]
    9. McCurry SM, Song Y, Martin JL. Sleep in caregivers: what we know and what we need to learn. Curr Opin Psychiatry. 2015;28(6):497-503. [CrossRef] [Medline]
    10. Schulz R, Beach SR. Caregiving as a risk factor for mortality: the caregiver health effects study. JAMA. 1999;282(23):2215-2219. [FREE Full text] [CrossRef] [Medline]
    11. Caregiving in the U.S. AARP and National Alliance for Caregiving. 2015. URL: https:/​/www.​caregiving.org/​wp-content/​uploads/​2020/​05/​2015_CaregivingintheUS_Final-Report-June-4_WEB.​pdf [accessed 2023-09-12]
    12. Siegel R, Germer C, Olendzki A. Mindfulness: what is it? Where did it come from? In: Didonna F, editor. Clinical Handbook of Mindfulness. New York, NY. Springer; 2009;17-35.
    13. Kabat-Zinn J. Wherever You Go, There You Are: Mindfulness Meditation in Everyday Life. New York, NY. Hyperion; 1994.
    14. Chen KW, Berger CC, Manheimer E, Forde D, Magidson J, Dachman L, et al. Meditative therapies for reducing anxiety: a systematic review and meta-analysis of randomized controlled trials. Depress Anxiety. 2012;29(7):545-562. [FREE Full text] [CrossRef] [Medline]
    15. Ospina MB, Bond K, Karkhaneh M, Tjosvold L, Vandermeer B, Liang Y, et al. Meditation practices for health: state of the research. Evid Rep Technol Assess (Full Rep). 2007(155):1-263. [Medline]
    16. Uusberg H, Uusberg A, Talpsep T, Paaver M. Mechanisms of mindfulness: the dynamics of affective adaptation during open monitoring. Biol Psychol. 2016;118:94-106. [CrossRef] [Medline]
    17. Hou RJ, Wong SYS, Yip BHK, Hung ATF, Lo HHM, Chan PHS, et al. The effects of mindfulness-based stress reduction program on the mental health of family caregivers: a randomized controlled trial. Psychother Psychosom. 2014;83(1):45-53. [CrossRef] [Medline]
    18. Whitebird RR, Kreitzer MJ, Crain AL, Lewis BA, Hanson LR, Enstad CJ. Mindfulness-based stress reduction for family caregivers: a randomized controlled trial. Gerontologist. 2013;53(4):676-686. [FREE Full text] [CrossRef] [Medline]
    19. Oken BS, Fonareva I, Haas M, Wahbeh H, Lane JB, Zajdel D, et al. Pilot controlled trial of mindfulness meditation and education for dementia caregivers. J Altern Complement Med. 2010;16(10):1031-1038. [FREE Full text] [CrossRef] [Medline]
    20. Lavretsky H, Epel ES, Siddarth P, Nazarian N, Cyr NS, Khalsa DS, et al. A pilot study of yogic meditation for family dementia caregivers with depressive symptoms: effects on mental health, cognition, and telomerase activity. Int J Geriatr Psychiatry. 2013;28(1):57-65. [FREE Full text] [CrossRef] [Medline]
    21. Winbush NY, Gross CR, Kreitzer MJ. The effects of mindfulness-based stress reduction on sleep disturbance: a systematic review. Explore (NY). 2007;3(6):585-591. [CrossRef] [Medline]
    22. Paller KA, Creery JD, Florczak SM, Weintraub S, Mesulam MM, Reber PJ, et al. Benefits of mindfulness training for patients with progressive cognitive decline and their caregivers. Am J Alzheimers Dis Other Demen. 2015;30(3):257-267. [FREE Full text] [CrossRef] [Medline]
    23. Piersol CV, Canton K, Connor SE, Giller I, Lipman S, Sager S. Effectiveness of interventions for caregivers of people with Alzheimer's disease and related major neurocognitive disorders: a systematic review. Am J Occup Ther. 2017;71(5):7105180020p1-7105180020p10. [CrossRef] [Medline]
    24. Jaffray L, Bridgman H, Stephens M, Skinner T. Evaluating the effects of mindfulness-based interventions for informal palliative caregivers: a systematic literature review. Palliat Med. 2016;30(2):117-131. [CrossRef] [Medline]
    25. Hurley RVC, Patterson TG, Cooley SJ. Meditation-based interventions for family caregivers of people with dementia: a review of the empirical literature. Aging Ment Health. 2014;18(3):281-288. [CrossRef] [Medline]
    26. Parkinson B, Lawrence M, McElhinney E, Booth J. Mindfulness for people with long-term conditions and their family caregivers: a systematic review. Complement Ther Clin Pract. 2019;34:76-86. [CrossRef] [Medline]
    27. Kor PPK, Chien WT, Liu JYW, Lai CKY. Mindfulness-based intervention for stress reduction of family caregivers of people with dementia: a systematic review and meta-analysis. Mindfulness. 2017;9(1):7-22. [CrossRef]
    28. Ott MJ, Norris RL, Bauer-Wu SM. Mindfulness meditation for oncology patients: a discussion and critical review. Integr Cancer Ther. 2006;5(2):98-108. [FREE Full text] [CrossRef] [Medline]
    29. Santorelli S. Mindfulness-Based Stress Reduction (MBSR): Standards of Practice. Boston, MA. Center for Mindfulness in Medicine, Health Care & Society, University of Massachusetts Medical School; 2014.
    30. Murray M. What if health insurance covered mindfulness? UConn Today. 2023. URL: https://today.uconn.edu/2023/05/what-if-health-insurance-covered-mindfulness/ [accessed 2023-06-10]
    31. How much does MBSR cost? Mindful Leader. 2021. URL: https://www.mindfulleader.org/blog/54935-how-much-does-mbsr-cost [accessed 2023-06-10]
    32. Mindfulness-Based Stress Reduction teaching certificate. School of Professional Studies, Brown University. URL: https://professional.brown.edu/certificate/mindfulness [accessed 2023-06-10]
    33. Barrett LL. Health and caregiving among the 50+: ownership, use and interest in mobile technology. AARP. 2011. URL: https://assets.aarp.org/rgcenter/general/health-caregiving-mobile-technology.pdf [accessed 2023-09-12]
    34. Faverio M. Share of those 65 and older who are tech users has grown in the past decade. Pew Research Center. Jan 13, 2022. URL: https:/​/www.​pewresearch.org/​short-reads/​2022/​01/​13/​share-of-those-65-and-older-who-are-tech-users-has-grown-in-the-past-decade/​ [accessed 2023-09-25]
    35. Grossman MR, Zak DK, Zelinski EM. Mobile apps for caregivers of older adults: quantitative content analysis. JMIR Mhealth Uhealth. 2018;6(7):e162. [FREE Full text] [CrossRef] [Medline]
    36. Davis BH, Nies MA, Shehab M, Shenk D. Developing a pilot e-mobile app for dementia caregiver support: lessons learned. Online J Nurs Inform. 2014;18(1):3095. [FREE Full text]
    37. Fuller-Tyszkiewicz M, Richardson B, Little K, Teague S, Hartley-Clark L, Capic T, et al. Efficacy of a smartphone app intervention for reducing caregiver stress: randomized controlled trial. JMIR Ment Health. 2020;7(7):e17541. [FREE Full text] [CrossRef] [Medline]
    38. Rathnayake S, Moyle W, Jones C, Calleja P. Co-design of an mHealth application for family caregivers of people with dementia to address functional disability care needs. Inform Health Soc Care. 2021;46(1):1-17. [CrossRef] [Medline]
    39. Sikder AT, Yang FC, Schafer R, Dowling GA, Traeger L, Jain FA. Mentalizing imagery therapy mobile app to enhance the mood of family dementia caregivers: feasibility and limited efficacy testing. JMIR Aging. 2019;2(1):e12850. [FREE Full text] [CrossRef] [Medline]
    40. Wozney L, de Souza LMF, Kervin E, Queluz F, McGrath PJ, Keefe J. Commercially available mobile apps for caregivers of people with Alzheimer disease or other related dementias: systematic search. JMIR Aging. 2018;1(2):e12274. [FREE Full text] [CrossRef] [Medline]
    41. Dahl CJ, Wilson-Mendenhall CD, Davidson RJ. The plasticity of well-being: a training-based framework for the cultivation of human flourishing. Proc Natl Acad Sci U S A. 2020;117(51):32197-32206. [FREE Full text] [CrossRef] [Medline]
    42. Ferguson C, Ark TK. The benefits of using the healthy minds application in medical students. Acad Med. 2021;96(11S):S175. [CrossRef] [Medline]
    43. Goldberg SB, Imhoff-Smith T, Bolt DM, Wilson-Mendenhall CD, Dahl CJ, Davidson RJ, et al. Testing the efficacy of a multicomponent, self-guided, smartphone-based meditation app: three-armed randomized controlled trial. JMIR Ment Health. 2020;7(11):e23825. [FREE Full text] [CrossRef] [Medline]
    44. Pace TWW, Zeiders KH, Cook SH, Sarsar ED, Hoyt LT, Mirin NL, et al. Feasibility, acceptability, and preliminary efficacy of an app-based meditation intervention to decrease firefighter psychological distress and burnout: a one-group pilot study. JMIR Form Res. 2022;6(6):e34951. [FREE Full text] [CrossRef] [Medline]
    45. Warttig SL, Forshaw MJ, South J, White AK. New, normative, english-sample data for the short form Perceived Stress Scale (PSS-4). J Health Psychol. 2013;18(12):1617-1628. [CrossRef] [Medline]
    46. Sclan SG, Reisberg B. Functional assessment staging (FAST) in Alzheimer's disease: reliability, validity, and ordinality. Int Psychogeriatr. 1992;4(Suppl 1):55-69. [CrossRef] [Medline]
    47. Pfeiffer E. A short portable mental status questionnaire for the assessment of organic brain deficit in elderly patients. J Am Geriatr Soc. 1975;23(10):433-441. [CrossRef] [Medline]
    48. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-381. [FREE Full text] [CrossRef] [Medline]
    49. Hydock C. Assessing and overcoming participant dishonesty in online data collection. Behav Res Methods. 2018;50(4):1563-1567. [FREE Full text] [CrossRef] [Medline]
    50. Salinas MR. Are your participants real? Dealing with fraud in recruiting older adults online. West J Nurs Res. 2023;45(1):93-99. [CrossRef] [Medline]
    51. Roehl JM, Harland DJ. Imposter participants: overcoming methodological challenges related to balancing participant privacy with data quality when using online recruitment and data collection. TQR. 2022;27(11):2469-2485. [FREE Full text] [CrossRef]
    52. Healthy Minds Innovations. URL: https://hminnovations.org/meditation-app [accessed 2023-06-10]
    53. Huberty J, Eckert R, Puzia M, Laird B, Larkey L, Mesa R. A novel educational control group mobile app for meditation interventions: single-group feasibility trial. JMIR Form Res. 2020;4(7):e19364. [FREE Full text] [CrossRef] [Medline]
    54. Laird B, Puzia M, Larkey L, Ehlers D, Huberty J. A mobile app for stress management in middle-aged men and women (Calm): feasibility randomized controlled trial. JMIR Form Res. 2022;6(5):e30294. [FREE Full text] [CrossRef] [Medline]
    55. Cohen S, Williamson G. Perceived stress in a probability sample of the United States. In: Spacapan S, Oskamp S, editors. The Social Psychology of Health: Claremont Symposium on Applied Social Psychology. Newbury Park, CA. Sage Publications, Inc; 1988;31-67.
    56. Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24(4):385-396. [Medline]
    57. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361-370. [CrossRef] [Medline]
    58. Yu L, Buysse DJ, Germain A, Moul DE, Stover A, Dodds NE, et al. Development of short forms from the PROMIS™ sleep disturbance and sleep-related impairment item banks. Behav Sleep Med. 2011;10(1):6-24. [FREE Full text] [CrossRef] [Medline]
    59. Li MJ, Black DS, Garland EL. The Applied Mindfulness Process Scale (AMPS): a process measure for evaluating mindfulness-based interventions. Pers Individ Dif. 2016;93:6-15. [FREE Full text] [CrossRef] [Medline]
    60. O'Malley KA, Qualls SH. Preliminary evidence for the validity and reliability of the caregiver reaction scale. Clin Gerontol. 2017;40(4):281-294. [CrossRef] [Medline]
    61. In-app well-being assessment: the healthy minds index. Healthy Minds Innovations. 2023. URL: https:/​/hminnovations.​zendesk.com/​hc/​en-us/​articles/​4411703106957-In-App-Well-Being-Assessment-The-Healthy-Minds-Index [accessed 2023-06-10]
    62. Geisser ME, Clauw DJ, Strand V, Gendreau MR, Palmer R, Williams D. Contributions of change in clinical status parameters to Patient Global Impression of Change (PGIC) scores among persons with fibromyalgia treated with milnacipran. Pain. 2010;149(2):373-378. [CrossRef] [Medline]
    63. Bowen DJ, Kreuter M, Spring B, Cofta-Woerpel L, Linnan L, Weiner D, et al. How we design feasibility studies. Am J Prev Med. 2009;36(5):452-457. [FREE Full text] [CrossRef] [Medline]
    64. Attkisson C. The Client Satisfaction Questionnaire (CSQ) Scales. In: Measures for Clinical Practice: A Sourcebook. New York, NY. Free Press; 1996.
    65. Devilly GJ, Borkovec TD. Psychometric properties of the credibility/expectancy questionnaire. J Behav Ther Exp Psychiatry. 2000;31(2):73-86. [CrossRef] [Medline]
    66. Taylor AM, Phillips K, Patel KV, Turk DC, Dworkin RH, Beaton D, et al. Assessment of physical function and participation in chronic pain clinical trials: IMMPACT/OMERACT recommendations. Pain. 2016;157(9):1836-1850. [FREE Full text] [CrossRef] [Medline]
    67. Resnick B, Inguito P, Orwig D, Yahiro JY, Hawkes W, Werner M, et al. Treatment fidelity in behavior change research: a case example. Nurs Res. 2005;54(2):139-143. [CrossRef] [Medline]
    68. Leon AC, Davis LL, Kraemer HC. The role and interpretation of pilot studies in clinical research. J Psychiatr Res. 2011;45(5):626-629. [FREE Full text] [CrossRef] [Medline]
    69. Lancaster GA, Dodd SD, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004;10(2):307-312. [CrossRef] [Medline]
    70. Rounsaville BJ, Carroll KM, Onken LS. A stage model of behavioral therapies research: getting started and moving on from stage I. Clin Psychol Sci Pract. 2001;8(2):133-142. [CrossRef]

    ‎
    ADRD: Alzheimer disease and related dementias
    FAST: Functional Assessment Staging Tool
    HMP: Healthy Minds Program
    MBI: mindfulness-based intervention
    NIH: National Institutes of Health
    RA: research assistant
    RCT: randomized controlled trial
    REDCap: Research Electronic Data Capture
    SPMSQ: Short Portable Mental Status Questionnaire
    WA: Wellness App

    Edited by A Mavragani; The proposal for this study was peer-reviewed by: Clinical Management in General Care Settings Study Section, Healthcare Delivery and Methodologies Integrated Review Group, Center for Scientific Review, CMGC, NIH (USA). See Multimedia Appendix 3 for the peer-review report; submitted 23.06.23; accepted 17.07.23; published 13.10.23.

    Copyright

    ©Emily C Woodworth, Ellie A Briskin, Evan Plys, Eric Macklin, Raquel G Tatar, Jennifer Huberty, Ana-Maria Vranceanu. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 13.10.2023.

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