Evidence map›Paper›PMID 28578543›Full record

ArticleAIDS and behavior2017

Lessons Learned From the Implementation of Seek, Test, Treat, Retain Interventions Using Mobile Phones and Text Messaging to Improve Engagement in HIV Care for Vulnerable Populations in the United States.

Katerina A Christopoulos, William E Cunningham, Curt G Beckwith, Irene Kuo, Carol E Golin, Kevin Knight, Patrick M Flynn, Anne C Spaulding, Lara S Coffin, Bridget Kruszka and 5 more

Abstract read
In one paragraph

Article in AIDS and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  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

15 authors.

Katerina A ChristopoulosDivision of HIV, ID and Global Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, 995 Potrero Avenue, 4th Floor, San Francisco, CA, 94110, USA. katerina.christopoulos@ucsf.edu.
William E CunninghamDepartments of Medicine and Health Policy and Management, UCLA Schools of Medicine and Public Health, Los Angeles, CA, USA.
Curt G BeckwithDivision of Infectious Diseases, Warren Alpert School of Medicine at Brown University, Providence, RI, USA.
Irene KuoDepartment of Epidemiology and Biostatistics, Milken Institute School of Public Health, George Washington University, Washington, D.C., USA.
Carol E GolinDepartment of Health Behavior, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA.
Kevin KnightInstitute of Behavioral Research, Texas Christian University, Fort Worth, TX, USA.
Patrick M FlynnInstitute of Behavioral Research, Texas Christian University, Fort Worth, TX, USA.
Anne C SpauldingDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Lara S CoffinDivision of HIV, ID and Global Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, 995 Potrero Avenue, 4th Floor, San Francisco, CA, 94110, USA.
Bridget KruszkaCollaborative Health Studies Coordinating Center, University of Washington, Seattle, WA, USA.
Ann KurthSchool of Nursing, Yale University, New Haven, CT, USA.
Jeremy D YoungDivision of Infectious Disease, University of Illinois at Chicago, Chicago, IL, USA.
Sharon MannheimerDepartments of Medicine and Epidemiology, Columbia University, New York, NY, USA.
Heidi M CraneDivision of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.
Shoshana Y KahanaServices Research Branch, National Institute on Drug Abuse, Bethesda, MD, USA.

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Nina Thawata Harawa · 1997 to 2026
$53.5M
Justice Community Opioid Innovation Network (JCOIN): TCU Clinical Research CenterUG1DA050074 · NIDA · TEXAS CHRISTIAN UNIVERSITY · PI KNIGHT, DANICA K, KNIGHT, KEVIN · 2019 to 2023
$10.1M
RCT of an augmented test, treat, link, & retain model for NC and Texas prisonersR01DA030793 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FLYNN, PATRICK M, GOLIN, CAROL E · 2010 to 2015
$6.9M
CARE Corrections: Technology for Jail HIV/HCV Testing, Linkage, and Care (TLC)R01DA030747 · NIDA · MIRIAM HOSPITAL · PI BECKWITH, CURT G, KUO, IRENE · 2010 to 2014
$4.9M
Effectiveness of Peer Navigation to Link Released HIV+ Jail Inmates to HIV CareR01DA030781 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CUNNINGHAM, WILLIAM EMERY · 2010 to 2015
$4.5M
Seek, Test, Treat and Retain strategies leveraging mobile health technologiesR01DA032057 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTOPOULOS, KATERINA A · 2011 to 2015
$2.6M
Planning For SUCCESSR34DA035728 · NIDA · EMORY UNIVERSITY · PI SPAULDING, ANNE C · 2014 to 2016
$682k
NIAID NIH HHS P30 AI050410NIDA NIH HHS R01 DA030747NIDA NIH HHS R01 DA030781NIDA NIH HHS R01 DA030793NIDA NIH HHS R01 DA032057NIDA NIH HHS R34 DA035728NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

In the United States, little is known about interventions that rely on mobile phones and/or text messaging to improve engagement in HIV care for vulnerable populations. Domestic studies using these technologies as part of the National Institute on Drug Abuse "Seek, Test, Treat, Retain" research initiative were queried regarding intervention components, implementation issues, participant characteristics, and descriptive statistics of mobile phone service delivery. Across five studies with 1,135 predominantly male, minority participants, implementation challenges occurred in three categories: (1) service interruptions; (2) billing/overage issues, and; (3) the participant user experience. Response rules for automated text messages frequently frustrated participants. The inability to reload minutes/texting capacity remotely was a significant barrier to intervention delivery. No study encountered confidentiality breaches. Service interruption was common, even if studies provided mobile phones and plans. Future studies should attend to the type of mobile phone and service, the participant user experience, and human subjects concerns.

Indexed as

Cell PhoneContinuity of Patient CareProgram EvaluationText MessagingVulnerable PopulationsAdultAgedAnti-HIV AgentsFemaleHIV InfectionsHumansMaleMiddle AgedReminder SystemsTelemedicineUnited StatesAnti-HIV AgentsEngagement in HIV caremHealthRetention in HIV careSMSText messaging

Identifiers

PMID28578543
PMCPMC5669804

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.