Evidence map›Paper›PMID 39864818›Full record

ArticleJMIR formative research2025

Recruitment Challenges and Strategies in a Technology-Based Intervention for Dementia Caregivers: Descriptive Study.

Eunjung Ko, Ye Gao, Peng Wang, Lahiru Wijayasingha, Kathy D Wright, Kristina C Gordon, Hongning Wang, John A Stankovic, Karen M Rose

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Eunjung KoRory Meyers College of Nursing, New York University, New York, NY, United States.ORCID 0000-0002-1898-0639
Ye GaoComputer Science, William & Mary, Williamsburg, VA, United States.ORCID 0000-0003-3979-8710
Peng WangSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.ORCID 0000-0002-5699-3676
Lahiru WijayasinghaSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.ORCID 0009-0005-1889-3374
Kathy D WrightCollege of Nursing, The Ohio State University, Columbus, OH, United States.ORCID 0000-0001-7346-1981
Kristina C GordonCollege of Education, Health, and Human Sciences, The University of Tennessee-Knoxville, Knoxville, TN, United States.ORCID 0000-0002-1543-2098
Hongning WangSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.ORCID 0000-0002-6524-9195
John A StankovicSchool of Engineering and Applied Science, University of Virginia, Charlottesville, VA, United States.ORCID 0000-0001-7307-9395
Karen M RoseCollege of Nursing, The Ohio State University, Columbus, OH, United States.ORCID 0000-0001-7382-3671

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
NCATS NIH HHS UL1 TR002733
6 · The paper itself

Abstract

Background: Researchers have encountered challenges in recruiting unpaid caregivers of people living with Alzheimer disease and related dementias for intervention studies. However, little is known about the reasons for nonparticipation in in-home smart health interventions in community-based settings. Objective: This study aimed to (1) assess recruitment rates in a smart health technology intervention for caregivers of people living with Alzheimer disease and related dementias and reasons for nonparticipation among them and (2) discuss lessons learned from recruitment challenges and strategies to improve recruitment. Methods: The smart health intervention was a 4-month, single-arm trial designed to evaluate an in-home, technology-based intervention that monitors stressful moments for caregiving dyads through acoustic signals and to provide the caregivers with real-time stress management strategies. The recruitment involved two main methods: on-site engagement by a recruiter from a memory clinic and social media advertising. Caregivers were screened for eligibility by phone between January 2021 and September 2023. The recruitment rates, reasons for nonparticipation, and participant demographics were analyzed using descriptive statistics. Results: Of 201 caregivers contacted, 11 were enrolled in this study. Eighty-two caregivers did not return the screening call, and others did not participate due to privacy concerns (n=30), lack of interest (n=29), and burdensome study procedures (n=26). Our recruitment strategies included addressing privacy concerns, visualizing collected data through a dashboard, boosting social media presence, increasing the recruitment budget, updating advertisements, and preparing and deploying additional study devices. Conclusions: This study highlighted barriers to participation in the smart health intervention. Despite several recruitment strategies, enrollment rates remained below expectations. These findings underscore the need for future research to explore alternative methods for increasing the recruitment of informal dementia caregivers in technology-based intervention studies.

Indexed as

CaregiversDementiaPatient SelectionAdultAgedAlzheimer DiseaseFemaleHumansMaleMiddle AgedStress, PsychologicalAlzheimer diseasedementiadementia caregiversmobile phonerecruitment challenges and strategiessmart healthtechnology-based intervention

Identifiers

PMID39864818
PMCPMC11769690

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.