Evidence map›Paper›PMID 41670409›Full record

ArticleThe Permanente journal2026

Patient Characteristics Associated With Telehealth Use in a Large Federally Qualified Health Center.

Priyanka Gautom, Cara L Eckhardt, Lisa K Marriott, Cirila Estela Vasquez Guzman, Gloria D Coronado

Abstract read
In one paragraph

Article in The Permanente journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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

5 authors.

Priyanka GautomKaiser Permanente Center for Health Research, Portland, OR, USA.ORCID 0000-0003-3941-9506
Cara L EckhardtSchool of Public Health, Oregon Health & Science University-Portland State University, Portland, OR, USA.
Lisa K MarriottSchool of Public Health, Oregon Health & Science University-Portland State University, Portland, OR, USA.
Cirila Estela Vasquez GuzmanFamily Medicine Department, Oregon Health & Science University, Portland, OR, USA.
Gloria D CoronadoCollege of Public Health and Cancer Center, University of Arizona, Tucson, AZ, USA.

Funding

Prediciting and addressing colonoscopy non-adherence in community settingsR01CA218923 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CORONADO, GLORIA D · 2018 to 2022
$3.5M
NCI NIH HHS R01 CA218923
6 · The paper itself

Abstract

introductionThe COVID-19 pandemic rapidly expanded telehealth services when in-person care was limited. Using primary care data from a large federally qualified health center in Washington state, this study aimed to: 1) describe trends in telehealth use among adult patients, and 2) provide disaggregated patient characteristic data associated with telehealth use, with a focus on patients speaking Asian Indian languages.

methodsThe authors conducted a retrospective cross-sectional study using electronic health data from adult patients seen at the partner health center between January 1, 2020 and December 31, 2022. Multivariable logistic models for each year generated adjusted odds ratios and 95% confidence intervals for characteristics associated with completing a telehealth visit (video or phone). A subgroup analysis on telehealth use among patients speaking languages commonly spoken in India was also completed.

resultsThe study included 653,378 primary care encounters from 127,146 unique adults (mean age 50; 56% female; nearly one-third Hispanic or Latino). Top 5 languages spoken were English, Spanish, Russian, Punjabi, and Vietnamese. Telehealth use peaked in 2020 and declined in subsequent years, while in-person visits were highest in 2021. Lower odds of telehealth use associated with being younger, identifying as a racial or ethnic minority, preferring a language other than English, residing in a rural county, identifying as male or Gender X, and lacking insurance. DISCUSSION: The findings highlighted disparities in telehealth use across demographic and linguistic lines, including among Asian Indian language speakers, echoing concerns of inequitable access.

conclusionFindings can guide strategies to improve telehealth services for underrepresented groups.

Indexed as

COVID-19Primary Health CareTelemedicineAdultAgedCross-Sectional StudiesDigital HealthFemaleHumansLanguageMaleMiddle AgedRetrospective StudiesSARS-CoV-2WashingtonYoung AdultAsian Indian HealthFederally Qualified Health CenterHealth DisparitiesTelehealth Use

Identifiers

PMID41670409
PMCPMC12989772

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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.