Evidence map›Paper›PMID 41941724›Full record

ArticleJournal of medical Internet research2026

Supporting Access to Care Through Peripheral Devices and Patient-Generated Health Data: Qualitative Study.

Ashley C Griffin, Caroline Gray, Victoria Ngo, Camila Chaudhary, Stephanie L Shimada, Amanda M Midboe, Donna M Zulman

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

7 authors.

Ashley C GriffinCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0002-1535-0797
Caroline GrayCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0002-8987-6142
Victoria NgoNew England Geriatric Research Education and Clinical Center, VA Bedford Healthcare System, Bedford, MA, United States.ORCID https://orcid.org/0000-0001-9973-8379
Camila ChaudharyCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0003-0864-8445
Stephanie L ShimadaCenter for Health Optimization & Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.ORCID https://orcid.org/0000-0002-6517-5122
Amanda M MidboeCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0001-7191-2507
Donna M ZulmanCenter for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA, United States.ORCID https://orcid.org/0000-0001-8904-2810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2016, the US Department of Veterans Affairs (VA) implemented a national initiative to distribute video-enabled tablets and peripheral devices, such as blood pressure monitors and weighing scales, to patients facing geographic, clinical, or socioeconomic challenges. Such patients could potentially benefit from health monitoring in conjunction with video-based care, as peripheral devices offer opportunities to enrich care received during a video visit and support tracking of health-related data collected outside of clinical care, or patient-generated health data. However, little is known about experiences with the devices and how they could support improved access to care.

objectiveWe explored patients' experiences with VA-issued peripheral devices and their impact on video-based care and health monitoring outside of clinical visits.

methodsWe conducted in-depth semistructured interviews among patients who received VA-issued tablets and peripheral devices between 2023 and 2024. Purposive sampling was used to gather views based on gender, age, race or ethnicity, and rurality. Interviews were transcribed and analyzed using rapid qualitative analysis, guided by the Unified Theory of Acceptance and Use of Technology.

resultsAmong 25 patients, most received a blood pressure monitor (21/25, 84%), a weight scale (14/25, 56%), and/or a pulse oximetry device (12/25, 48%). The majority reported using their peripheral devices (23/25, 92%) and tablets (19/25, 76%) to monitor their vital signs and attend video visits. Qualitative analysis yielded ten themes reflecting experiences and impacts of the devices, organized by the Unified Theory of Acceptance and Use of Technology constructs: "effort expectancy" consisted of (1) familiar and easy to use devices and (2) challenges of Bluetooth pairing and measurement; "performance expectancy" consisted of (3) integration with video visits, (4) health monitoring for peace of mind, (5) perceptions of improved vital signs and lifestyle behaviors, (6) removing obstacles to in-person care, and (7) desiring an overall picture of health; "social influence" consisted of (8) fostering care team connections and (9) promoting awareness of tablets and peripheral devices; and "facilitating conditions" consisted of (10) supportive help desk infrastructure. Overall, patients described using peripheral devices during virtual visits by syncing data to the tablet for real-time access by their care team. They also reported manually tracking and sharing patient-generated health data with their care team. Despite some challenges with Bluetooth pairing, patients found the devices easy to use and contributed to improved health and motivation. Devices also reduced logistical burdens of in-person visits, especially for those with limited mobility, visual impairments, mental health needs, or transportation barriers.

conclusionsPatients perceive that peripheral devices can enhance video-based care and support health care access and chronic disease management. Patients reported benefits to health, behavior, and communication with care teams. To maximize the impact, program enhancements should prioritize device interoperability, accessible training, and expanded outreach.

Indexed as

Health Services AccessibilityPatient Generated Health DataAgedDigital HealthFemaleHumansMaleMiddle AgedQualitative ResearchRemote Patient MonitoringUnited StatesUnited States Department of Veterans Affairshealth services accessibilitymobile phonepatient generated health dataremote patient monitoringself-managementveterans

Identifiers

PMID41941724
PMCPMC13096770

What OpenQuestion holds

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LicenceCC BY
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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.