Evidence map›Paper›PMID 40721336›Full record

ArticleAnnals of family medicine2025

High Users of Primary Care Secure Messaging in the Veterans Health Administration.

Jonathan Staloff, Eric Gunnink, Jorge Rojas, Edwin S Wong, Scott Hagan, Karin Nelson, Ashok Reddy

Abstract read
In one paragraph

Article in Annals of family medicine, 2025. 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

7 authors.

Jonathan StaloffCenter of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington jstaloff@uw.edu.
Eric GunninkCenter of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
Jorge RojasCenter of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
Edwin S WongCenter of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
Scott HaganDepartment of Medicine, University of Washington, Seattle, Washington.
Karin NelsonCenter of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.
Ashok ReddyCenter of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, Washington.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSecure messaging has increased in primary care, but we lack information on who uses it at a high level. Characterizing this population is important to inform policy about patients most likely to be affected by secure messaging reimbursement and coverage decisions; to contextualize the secure messaging work burden for primary care; and to understand how secure messaging complements use of other primary care access points. Our objectives were to describe characteristics of high users, assess their overall primary care and emergency department use, and determine the proportion of total Veterans Health Administration primary care messages exchanged by this group.

methodsWe conducted a 1-year retrospective cross-sectional analysis and multivariate logistic regression analysis of all veterans assigned to primary care on October 1, 2022 who exchanged at least 1 secure message with primary care by September 30, 2023. We calculated descriptive statistics and assessed whether certain veteran characteristics were associated with high user status (use in the 95th or higher percentile of all messages exchanged annually).

resultsPatients were more likely to be high users if they were older (adjusted odds ratio [aOR] for age ≥75 years = 2.49); had highest frailty (fourth quartile aOR = 2.65) or high physical comorbidity (Gagne score of 2 aOR = 1.17 and score of 3 aOR = 1.14); lived with schizophrenia or bipolar disorder (aOR = 1.23); or had posttraumatic stress disorder, anxiety, or depression (aOR = 1.16) (

conclusionsA small percentage of veterans exchange a disproportionate share of total secure messages. Most high users of secure messaging do not use other primary care or emergency department services at the same high frequency as secure messaging. High users commonly have high physical comorbidity, are frail, and live with mental health conditions, and racial disparities exist.

Indexed as

Primary Health CareVeteransAdultAgedCross-Sectional StudiesEmergency Service, HospitalFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesUnited StatesUnited States Department of Veterans Affairscommunicationfacilities and services utilizationhealth information technologypatient portalpractice-based researchprimary caresecure messagingtelemedicineVeterans Health Administrationworkload

Identifiers

PMID40721336
PMCPMC12306986

What OpenQuestion holds

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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.