Evidence map›Paper›PMID 34129143›Full record

ArticleAIDS and behavior2021

Clinician Use of HIV-Related Infographics During Clinic Visits in the Dominican Republic is Associated with Lower Viral Load and Other Improvements in Health Outcomes.

Samantha Stonbraker, Jianfang Liu, Gabriella Sanabria, Maureen George, Silvia Cunto-Amesty, Carmela Alcántara, Ana F Abraído-Lanza, Mina Halpern, Tawandra Rowell-Cunsolo, Suzanne Bakken and 1 more

Abstract read
In one paragraph

Article in AIDS and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Seeing things the same way: perspectives and lessons learned from research-design collaborations.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  8. Article
  9. Developing Infographics to Present Research Findings from CBPR to Latinx Farmworker Community Members.Progress in community health partnerships : research, education, and action · 2023
    Article
  10. Article
  11. 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

11 authors.

Samantha StonbrakerAnschutz Medical Campus, University of Colorado College of Nursing, 13120 E. 19th Ave, Aurora, CO, 80045, USA. Samantha.Stonbraker@CUAnschutz.edu.ORCID http://orcid.org/0000-0003-0049-4269
Jianfang LiuColumbia University School of Nursing, New York, NY, USA.
Gabriella SanabriaUniversity of South Florida College of Public Health, Tampa, FL, USA.
Maureen GeorgeColumbia University School of Nursing, New York, NY, USA.
Silvia Cunto-AmestyColumbia University Irving Medical Center, New York, NY, USA.
Carmela AlcántaraColumbia School of Social Work, New York, NY, USA.
Ana F Abraído-LanzaNew York University School of Global Public Health, New York, NY, USA.
Mina HalpernClínica de Familia La Romana, La Romana, Dominican Republic.
Tawandra Rowell-CunsoloUniversity of Wisconsin - Madison School of Social Work, Madison, WI, USA.
Suzanne BakkenColumbia University School of Nursing, New York, NY, USA.
Rebecca SchnallColumbia University School of Nursing, New York, NY, USA.

Funding

Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.P30NR016587 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE, SMALDONE, ARLENE M · 2016 to 2022
$4.3M
Information visualizations to facilitate clinician-patient communication in HIV care (Info Viz: HIV)R00NR017829 · NINR · UNIVERSITY OF COLORADO DENVER · PI STONBRAKER, SAMANTHA · 2020 to 2022
$717k
Mentoring and Research in Self-Management for Health Promotion and Disease PreventionK24NR018621 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2019 to 2022
$384k
Information visualizations to facilitate clinician-patient communication in HIV care (Info Viz: HIV)K99NR017829 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STONBRAKER, SAMANTHA · 2018 to 2019
$181k
National Institute of Nursing Research/National Institutes of Health K24NR018621National Institute of Nursing Research/National Institutes of Health K99NR017829NINR NIH HHS K24 NR018621NINR NIH HHS K99 NR017829NINR NIH HHS P30 NR016587NINR NIH HHS P30NR016587NINR NIH HHS R00 NR017829NINR NIH HHS R00NR017829
6 · The paper itself

Abstract

We designed an infographic intervention to help clinicians provide health information to persons living with HIV. In this study, we assessed the extent to which our intervention may improve objectively and subjectively measured health outcomes (CD4 count, viral load, and engagement with clinician among others) when integrated into routine visits in the Dominican Republic. In this pretest-posttest study, we followed participants for 9 months at 3-month intervals. Physicians administered the intervention during participants' first 3 visits. Outcome measures, selected using a conceptual model, were assessed at 4 time points. We assessed changes in outcomes over time with general linear regressions and Wilcoxon Signed-Rank tests. Participants (N = 50) were mostly female (56%) and had been living with HIV for a mean of 6.3 years (SD = 6.1). All outcomes, except CD4 count, demonstrated statistically significant improvements by study end. This provides preliminary evidence our intervention may improve outcomes, but further testing is needed.

Indexed as

Data VisualizationHIV InfectionsAmbulatory CareDominican RepublicFemaleHumansMaleOutcome Assessment, Health CareViral LoadClinician-patient communicationHIV/AIDS careInformation visualizationNursing informaticsPatient education

Identifiers

PMID34129143
PMCPMC8602767

What OpenQuestion holds

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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.