Evidence map›Paper›PMID 31223117›Full record

ArticleInteractive journal of medical research2019

Using Virtual Reality to Improve Antiretroviral Therapy Adherence in the Treatment of HIV: Open-Label Repeated Measure Study.

Omer Liran, Robert Dasher, Kevin Kaeochinda

Abstract read
In one paragraph

Article in Interactive journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
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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

3 authors.

Omer LiranDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California - Los Angeles, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0001-6175-3936
Robert DasherDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California - Los Angeles, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0003-3989-7188
Kevin KaeochindaDepartment of Psychology, Marymount California University, Rancho Palos Verdes, CA, United States.ORCID http://orcid.org/0000-0001-8772-0876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonadherence to HIV medications is a serious unsolved problem and is a major cause of morbidity and mortality in the HIV-positive population. Although treatment efficacy is high if compliance is greater than 90%, about 40% of people with HIV do not meet this threshold.

objectiveThis study aimed to test a novel approach to improve medication adherence by using a low-cost virtual reality (VR) experience to educate people with HIV about their illness. We hypothesized that people with HIV would be more likely to be compliant with the treatment following the 7-minute experience and, therefore, should have decreasing viral load (VL), increasing cluster of differentiation 4

methodsWe showed the VR experience to 107 participants with HIV at a county hospital in Los Angeles, California. Participants were asked to self-report how often they take their medications on a Likert-scale. The self-reported question (SRQ) was given before and at least 2 weeks after the VR experience. We also compared VL and CD4

resultsSRQ scores improved from pre to post experience with high significance (P<.001). VL decreased from pre to post experience by 0.38 log

conclusionsThe findings suggest that the low-cost VR experience caused an increased rate of antiretroviral therapy adherence that resulted in a decrease of VL and an increase of CD4

Indexed as

educationHAARTmedication adherencetechnologyviral loadvirtual reality

Identifiers

PMID31223117
PMCPMC6610452

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.