Evidence map›Paper›PMID 41587444›Full record

ArticleJournal of medical Internet research2026

Feasibility, Acceptability, and Perspectives Regarding the Use of Activity Tracking Wearable Devices Among Home Health Aides: Mixed Methods Study.

Ian René Solano-Kamaiko, Michael Dicpinigaitis, Melissa Tan, Irene Yang, Kexin Cheng, Ronica Peramsetty, Michelle Shum, Yanira Escamilla, Jennifer Bayly, Meghan Reading Turchioe and 4 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Ian René Solano-KamaikoCornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0003-3641-2923
Michael DicpinigaitisWeill Cornell Medicine, New York, NY, United States.ORCID https://orcid.org/0009-0001-3884-0414
Melissa TanCornell Tech, New York, NY, United States.ORCID https://orcid.org/0009-0008-2895-7898
Irene YangCornell Tech, New York, NY, United States.ORCID https://orcid.org/0009-0004-8604-1256
Kexin ChengCornell Tech, New York, NY, United States.ORCID https://orcid.org/0009-0007-0094-4609
Ronica PeramsettyWeill Cornell Medicine, New York, NY, United States.ORCID https://orcid.org/0009-0007-4693-0835
Michelle ShumWeill Cornell Medicine, New York, NY, United States.ORCID https://orcid.org/0009-0008-2079-4203
Yanira Escamilla1199SEIU Funds, New York, NY, United States.ORCID https://orcid.org/0009-0004-8278-7165
Jennifer BaylyWeill Cornell Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-7390-4508
Meghan Reading TurchioeColumbia University, New York, NY, United States.ORCID https://orcid.org/0000-0002-6264-6320
Ariel AvgarCornell University, Ithaca, NY, United States.ORCID https://orcid.org/0000-0002-2656-0060
Aditya VashisthaCornell University, Ithaca, NY, United States.ORCID https://orcid.org/0000-0001-5693-3326
Nicola DellCornell Tech, New York, NY, United States.ORCID https://orcid.org/0000-0002-6119-705X
Madeline R SterlingWeill Cornell Medicine, New York, NY, United States.ORCID https://orcid.org/0000-0002-9928-4407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHome health aides and attendants (HHAs) provide in-home care to the growing population of older adults who want to age in place. Despite their vital role in patient care, HHAs are an underserved and vulnerable population of health care professionals who often experience poor health themselves. Activity tracking devices offer a promising way to improve HHAs' health-related awareness and promote health behavior change, particularly regarding physical activity and sleep quality, 2 areas in which the workforce struggles.

objectiveThis study aimed to understand how feasible it is for HHAs to use activity tracking devices and assess their perceptions of such devices for improving their health. Specifically, we conducted (1) a field study to assess the use, feasibility, and acceptability of these devices among HHAs and (2) a qualitative study to understand HHAs' perspectives on and reactions to activity trackers on and off the job.

methodsWe partnered with the 1199 Service Employees International Union Training and Employment Fund to conduct a field study with home care agency-employed HHAs working in New York City, New York. Participants wore activity tracking devices for 4 weeks that collected data on physical activity and sleep. The HHAs were subsequently interviewed on their experiences with and attitudes toward the devices and asked to reflect on personalized visualizations of their data to prompt them to think aloud. Quantitative data were analyzed using descriptive statistics. Qualitative data were analyzed using grounded theory.

resultsA total of 17 HHAs participated; their mean age was 48.7 (SD 12.2) years, 15 (88%) were women, 11 (65%) identified as Black, 5 (29%) identified as Hispanic or Latinx, and they had worked as HHAs for a mean of 11.7 (SD 7.5) years. In total, 94% (n=16) of the HHAs wore their activity trackers for the full 28-day study period. Participants took a mean of 10,230 (SD 3586) daily steps during the study period and slept for a mean of 6.27 (SD 0.58) hours per night. Overall, 4 key themes emerged: (1) activity tracking devices enhanced participants' health awareness by providing empirical data for self-reflection; (2) this increased awareness led to positive behavior changes, including setting and achieving health-related goals; (3) HHAs believed that these devices could improve not only their own health but also that of their patients through positive behavior changes; and (4) despite this optimism, participants emphasized that their ability to modify sleep and activity patterns was constrained by social and occupational determinants, with sleep improvements being particularly challenging.

conclusionsOur findings suggest that appropriately designed personal tracking interventions could offer a promising approach to supporting positive health-related changes in this historically overlooked workforce, potentially improving their well-being and the quality of care they provide to their patients.

Indexed as

ExerciseHome Health AidesWearable Electronic DevicesAdultDigital HealthFeasibility StudiesFemaleHumansMaleMiddle AgedNew York Citydata advocacydata governancefrontline workhome carehome health aides and attendantshome health carelow-wage workpassive sensingwearable activity trackersworker well-being

Identifiers

PMID41587444
PMCPMC12887562

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LicenceCC BY
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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.