Evidence map›Paper›PMID 33323688›Full record

ArticleJournal of addiction medicine

Low Uptake of Secure Messaging Among Veterans With Experiences of Homelessness and Substance Use Disorders.

Audrey L Jones, Lillian Gelberg, Aerin J deRussy, Allyson L Varley, Kevin R Riggs, Adam J Gordon, Stefan G Kertesz

Open access · greenAbstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: A cross-sectional survey.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2023
    Article
  6. 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 at 1 institution in 1 country.

Audrey L JonesInformatics, Decision-Enhancement, and Analytic Sciences (IDEAS) Center, VA Salt Lake City Health Care System, Salt Lake City, UT (ALJ, AJG), Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT (ALJ, ADG), Office of Healthcare Transformation and Innovation, VA Greater Los Angeles Healthcare System, Los Angeles, CA (LG), Center of Excellence, Interprofessional Academic Homeless Patient Aligned Care Team (HPACT), VA Greater Los Angeles, Los Angeles, CA (LG), Department of Family Medicine, David Geffen School of Medicine at University of California Los Angeles (UCLA), Los Angeles, CA (LG), Department of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA (LG) Birmingham VA Medical Center, Birmingham, AL (AJd, ALV, KRR, SGK), University of Birmingham at Alabama School of Medicine, Birmingham, AL (ALV, KRR, SGK).
Lillian Gelberg
Aerin J deRussy
Allyson L Varley
Kevin R Riggs
Adam J Gordon
Stefan G Kertesz
School of the Art Institute of Chicago · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Vascular Health and Risk Factors in Children with Down SyndromeKL2TR002539 · NCATS · UNIVERSITY OF UTAH · PI MURTAUGH, MAUREEN A, NYGAARD, INGRID E · 2018 to 2022
$4.3M
Primary Care Quality and Homeless Service TailoringI01HX001900 · VA · BIRMINGHAM VA MEDICAL CENTER · PI KERTESZ, STEFAN G · 2020 to 2021
–
HSRD VA I01 HX001900NCATS NIH HHS KL2 TR002539NCATS NIH HHS UL1 TR002538
6 · The paper itself

Abstract

objectivesPersons who are homeless have significant health challenges and barriers accessing care. Secure messaging supports communication between patients and their providers through a web-based portal, but the acceptability of this technology among patients with high prevalence of substance use disorders (SUDs) is unknown. We examined secure messaging use among veterans with experiences of homelessness (VEHs), and determined factors associated with messaging use.

methodsWe conducted a cross-sectional analysis of responses to a national survey of VEHs, administered by mail from March to October 2018 (response rate = 40.2%). One item assessed secure messaging use and satisfaction. We used multivariable logistic regressions to model secure messaging use, controlling for sociodemographics, medical conditions, housing indicators, and mental health and SUD diagnoses.

resultsOf 5072 VEHs, 21% had ever used secure messaging and 87% of the subsample found messaging to be useful. Secure messaging was more commonly used by VEHs who were female, had some college education, those with ≥3 chronic medical conditions, depression, or posttraumatic stress disorder (all P < 0.001). Messaging was much less common for VEHs ages 55 to 64 or older, non-Latino Blacks, those receiving homeless-tailored primary care, and those with SUDs (all P < 0.001). VEHs with opioid use disorder were even less likely than those with other SUDs to use secure messaging (P = 0.047).

conclusionsPersons with homeless experiences might require assistance to engage with secure messaging technology. As health systems limit in-person care during a national pandemic, alternative solutions may be needed to facilitate health communications and prevent care disruptions for patients experiencing homelessness and SUDs.

Indexed as

Ill-Housed PersonsOpioid-Related DisordersVeteransCross-Sectional StudiesFemaleHousing QualityHumansMiddle Aged

Identifiers

PMID33323688
PMCPMC8200366
OpenAlexW3110914783

What OpenQuestion holds

Textmetadata
LicenceTDM
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.