Evidence map›Paper›PMID 42060893›Full record

ArticleJMIR aging2026

Telehealth Barriers and Digital Ageism Experienced by Older Veterans: Formative Ethnographic Study to Inform a Telepharmacy Randomized Trial.

Maria Venegas, Megan B McCullough, Chelsea E Hawley, Judith L Beizer, William W Hung, Lauren R Moo

Abstract read
In one paragraph

Article in JMIR aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Maria Venegas *Veterans Health Administration, 200 Springs Road Bld. 70 #128, Bedford, MA, 01730, United States, 1-781-654-7322.ORCID http://orcid.org/0000-0002-2740-2267
Megan B McCullough *Center for Healthcare Organization and Implementation Research, Veterans Health Administration, Bedford, MA, United States.ORCID http://orcid.org/0000-0002-3387-1967
Chelsea E Hawley *Department of Medicine, Division of Geriatrics, Boston University, Boston, MA, United States.ORCID http://orcid.org/0000-0002-6136-8189
Judith L Beizer *College of Pharmacy and Health Sciences, St. John's University, New York, NY, United States.ORCID http://orcid.org/0009-0008-1136-9336
William W HungGeriatric Research Education and Clinical Center, James J. Peters VA Medical Center, Veterans Health Administration, Bronx, NY, United States.ORCID http://orcid.org/0009-0004-8283-3643
Lauren R Moo *New England Geriatric Research Education and Clinical Center, Veterans Health Administration, Bedford, MA, United States.ORCID http://orcid.org/0000-0003-2951-8674

Funding

HSRD VA I01 HX002826
6 · The paper itself

Abstract

Background: As telehealth has become an increasingly common mode of care delivery, older adults may face structural, technological, and interactional barriers that limit their ability to engage with video-based care. Although digital ageism, defined as the presence of age-related stereotypes, lowered expectations, or assumptions about older adults' technology-related competence, has been described in prior literature, less is known about how such dynamics surface during real-time telehealth encounters and how they may shape participation in technology-focused clinical trials. Objective: This formative ethnographic study aimed to (1) document real-world barriers encountered by older adults immediately before and during video telehealth visits and (2) inform recruitment and implementation procedures for a subsequent telepharmacy randomized controlled trial. Methods: We conducted in-home, real-time ethnographic observation of 20 community-dwelling veterans aged ≥65 years participating in pharmacist-led video visits for medication management. Recruitment occurred over approximately 6 to 10 months using mailed invitation letters (>300 sent), supplemented with outbound telephone calls. Data sources included structured field notes completed independently by an in-house anthropologist and the remote clinical pharmacist, as well as observational documentation of previsit preparation, visit navigation, and postvisit reflections. Data were analyzed using qualitative rapid analysis, with iterative team review and triangulation across data sources. Results: Participants had a mean age of 74 (SD 3.18) years; 19 of 20 (95%) were male, and 18 of 20 (90%) identified as White. All participants completed a video visit with technical support as needed. Structural barriers (eg, broadband access and device availability) and usability challenges (eg, audio-video setup and navigation) were common. Although digital ageism was not a predefined analytical category, age-related assumptions about technology emerged during observation, including participants attributing anticipated or experienced difficulties to age and expressing surprise or pride following successful completion of the visit. These age-related interpretations were analytically distinct from access and usability barriers and were interpreted as manifestations of digital ageism, particularly as internalized age-based expectations. Conclusions: Formative ethnographic observation provided critical insights into how older adults experience telehealth encounters in real-world contexts and informed adaptations to recruitment and implementation procedures for a subsequent randomized controlled trial. Although digital ageism was not an original study aim, age-related assumptions about technology emerged as an important interpretive factor shaping engagement with video-based care. Incorporating ethnographic methods prior to trial implementation may help identify otherwise overlooked barriers and improve the inclusivity and feasibility of technology-focused clinical research involving older adults.

Indexed as

AgeismTelemedicineVeteransAgedAged, 80 and overAnthropology, CulturalFemaleHumansMaledigital ageismdigital divideethnographic researcholder adultstelehealthtelepharmacy

Identifiers

PMID42060893
PMCPMC13135888

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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.