Evidence map›Paper›PMID 37098152›Full record

ArticleJMIR formative research2023

Acceptability and Usability of a Wearable Device for Sleep Health Among English- and Spanish-Speaking Patients in a Safety Net Clinic: Qualitative Analysis.

Larissa Purnell, Maribel Sierra, Sarah Lisker, Melissa S Lim, Emma Bailey, Urmimala Sarkar, Courtney R Lyles, Kim H Nguyen

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Exploring digital health: a qualitative study on adults' experiences with health apps and wearables.International journal of qualitative studies on health and well-being · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Public engagement with consumer sleep technology for obstructive sleep apnea screening: implications for equity, access, and practice.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  8. Review
  9. Article
  10. Review
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

8 authors.

Larissa PurnellSchool of Public Health, University of California Berkeley, Berkeley, CA, United States.ORCID https://orcid.org/0009-0000-8032-7254
Maribel SierraDivision of General Internal Medicine, School of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-3390-9961
Sarah LiskerDivision of General Internal Medicine, School of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-0194-0235
Melissa S LimRedwood Pulmonary Medical Associates, Redwood City, CA, United States.ORCID https://orcid.org/0009-0002-6178-8404
Emma BaileyRedwood Pulmonary Medical Associates, Redwood City, CA, United States.ORCID https://orcid.org/0009-0002-5809-0849
Urmimala SarkarDivision of General Internal Medicine, School of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0003-4213-4405
Courtney R LylesSchool of Public Health, University of California Berkeley, Berkeley, CA, United States.ORCID https://orcid.org/0000-0002-1111-8595
Kim H NguyenDivision of General Internal Medicine, School of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID https://orcid.org/0000-0002-9112-0221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep disorders are common and disproportionately affect marginalized populations. Technology, such as wearable devices, holds the potential to improve sleep quality and reduce sleep disparities, but most devices have not been designed or tested with racially, ethnically, and socioeconomically diverse patients. Inclusion and engagement of diverse patients throughout digital health development and implementation are critical to achieving health equity.

objectiveThis study aims to evaluate the usability and acceptability of a wearable sleep monitoring device-SomnoRing-and its accompanying mobile app among patients treated in a safety net clinic.

methodsThe study team recruited English- and Spanish-speaking patients from a mid-sized pulmonary and sleep medicine practice serving publicly insured patients. Eligibility criteria included initial evaluation of obstructed sleep apnea, which is most appropriate for limited cardiopulmonary testing. Patients with primary insomnia or other suspected sleep disorders were not included. Patients tested the SomnoRing over a 7-night period and participated in a 1-hour semistructured web-based qualitative interview covering perceptions of the device, motivators and barriers to use, and general experiences with digital health tools. The study team used inductive or deductive processes to code interview transcripts, guided by the Technology Acceptance Model.

resultsA total of 21 individuals participated in the study. All participants owned a smartphone, almost all (19/21) felt comfortable using their phone, and few already owned a wearable (6/21). Almost all participants wore the SomnoRing for 7 nights and found it comfortable. The following four themes emerged from qualitative data: (1) the SomnoRing was easy to use compared to other wearable devices or traditional home sleep testing alternatives, such as the standard polysomnogram technology for sleep studies; (2) the patient's context and environment, such as family and peer influence, housing status, access to insurance, and device cost affected the overall acceptance of the SomnoRing; (3) clinical champions motivated use in supporting effective onboarding, interpretation of data, and, ongoing technical support; and (4) participants desired more assistance and information to best interpret their own sleep data summarized in the companion app.

conclusionsRacially, ethnically, and socioeconomically diverse patients with sleep disorders perceived a wearable as useful and acceptable for sleep health. Participants also uncovered external barriers related to the perceived usefulness of the technology, such as housing status, insurance coverage, and clinical support. Future studies should further examine how to best address these barriers so that wearables, such as the SomnoRing, can be successfully implemented in the safety net health setting.

Indexed as

health equitymedical informaticssleep disordersuser-centered designwearable electronic devices

Identifiers

PMID37098152
PMCPMC10280334

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.