Evidence map›Paper›PMID 28118922›Full record

ArticleInternational journal of medical informatics2017

Predictors of willingness to use a smartphone for research in underserved persons living with HIV.

Rebecca Schnall, Hwayoung Cho, Allison Webel

Abstract read
In one paragraph

Article in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Creation of Data Repositories to Advance Nursing Science.Western journal of nursing research · 2019
    Article
  5. Review
  6. Article
  7. 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

3 authors.

Rebecca SchnallColumbia University School of Nursing, New York, NY, USA. Electronic address: rb897@columbia.edu.
Hwayoung ChoColumbia University School of Nursing, New York, NY, USA.
Allison WebelCase Western Reserve University, Frances Payne Bolton School of Nursing, Cleveland, OH, USA.

Funding

WG3: HIV, Co-infections and Co-morbiditiesP30AI036219 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI Alan David Levine · 1994 to 2026
$50.0M
Case Clinical Trials Unit: Administrative Supplement NOSI AI-20-031.UM1AI069501 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI George Yendewa · 2012 to 2026
$40.4M
Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Case Western Reserve University/Cleveland Clinic CTSA (KL2)KL2RR024990 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B · 2007 to 2011
$9.5M
Video Information Provider for HIV-Associated Non-AIDS (VIP-HANA) SymptomsR01NR015737 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2015 to 2019
$2.8M
Use of mHealth Technology for Supporting Symptom Management in Underserved Persons Living with HIVR21HS023963 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2015 to 2016
$298k
AHRQ HHS R21 HS023963NCATS NIH HHS KL2 TR000440NCRR NIH HHS KL2 RR024990NIAID NIH HHS P30 AI036219NIAID NIH HHS UM1 AI069501NINR NIH HHS R01 NR015737
6 · The paper itself

Abstract

objectivesThe burden of HIV/AIDS is borne disproportionally by a growing number of racial and ethnic minorities and socioeconomically disadvantaged individuals. Developing mHealth interventions for the everyday self-management needs of persons living with HIV (PLWH) can be challenging given the current constraints of the U.S. healthcare system, especially for those from underserved communities. In order to develop effective, evidence-based mHealth self-management interventions, we need a better understanding of the factors associated with mHealth research. The purpose of this study was to assess factors associated with PLWH's for participation in research using smartphones.

methodsWe conducted a prospective cohort study (parent study) to examine the relationships among HIV self-management, age, gender and mental wellness. Relevant to this study, we analyzed the relationship between self-reported use of smartphones, willingness to use a smartphone for research, and other predictor variables including: HIV stigma, social isolation, social integration functions, and depression. We selected these variables because previous work indicated they may influence smartphone or mHealth use and because they also tend to be elevated in PLWH.

resultsWe found increased age, HIV stigma and social isolation were negatively associated with smartphone use, which supports the use of smartphones for conducting research with PLWH but also suggests that age, stigma, social integration functions and social isolation need to be considered in research involving PLWH.

conclusionsFindings here support smartphone use in research involving PLWH. However, future mHealth interventions targeting PLWH should take into account the inverse relationship between smartphone use and age, HIV stigma, and social isolation, and other predictor variables.

Indexed as

Biomedical ResearchSelf CareSocial StigmaAdaptation, PsychologicalAdultFemaleHIV InfectionsHumansMaleMiddle AgedMobile ApplicationsProspective StudiesQualitative ResearchSmartphoneTelemedicinemHealthPersons living with HIVSelf-managementSmartphone useStigma

Identifiers

PMID28118922
PMCPMC5304343

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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.