Evidence map›Paper›PMID 31380409›Full record

ArticlemHealth2019

Methods, system errors, and demographic differences in participant errors using daily text message-based short message service computer-assisted self-interview (SMS-CASI) to measure sexual risk behavior in a RCT of HIV self-test use.

William Brown, Alan Sheinfil, Javier Lopez-Rios, Rebecca Giguere, Curtis Dolezal, Timothy Frasca, Cody Lentz, Iván C Balán, Christine Rael, Catherine Cruz Torres and 3 more

Open access · diamondAbstract read
In one paragraph

Article in mHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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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

13 authors at 6 institutions in 2 countries.

William BrownCenter for AIDS Prevention Studies, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Alan SheinfilDepartment of Psychology, Syracuse University, Syracuse, USA.
Javier Lopez-RiosHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
Rebecca GiguereHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
Curtis DolezalHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
Timothy FrascaHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
Cody LentzHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
Iván C BalánHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
Christine RaelHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
Catherine Cruz TorresDepartment of Pediatrics, University of Puerto Rico Medical Sciences Campus, San Juan, USA.
Raynier CrespoDepartment of Pediatrics, University of Puerto Rico Medical Sciences Campus, San Juan, USA.
Irma FeboDepartment of Pediatrics, University of Puerto Rico Medical Sciences Campus, San Juan, USA.
Alex Carballo-DiéguezHIV Center for Clinical and Behavioral Studies, Division of Gender, Sexuality and Health, NY State Psychiatric Institute and Columbia University, New York, NY, USA.
New York Psychoanalytic Society and Institute · USColumbia University · USUniversity of Puerto Rico, Medical Sciences Campus · PRSan Francisco AIDS Foundation · USSyracuse University · USThe Graduate Center, CUNY · US

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Claude Ann Mellins · 2003 to 2026
$48.2M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
University of Puerto Rico Clinical Trials UnitUM1AI069415 · NIAID · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI FEBO, IRMA LUZ, SANTANA-BAGUR, JORGE L. · 2012 to 2021
$15.2M
Social Interventions to address disparities In young adult tobacco useP60MD006902 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2012 to 2016
$6.4M
University of Puerto Rico Mentoring Institute for HIV Mental Health ResearchR25MH083617 · NIMH · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI ZORRILLA, CARMEN D · 2008 to 2020
$3.7M
Rapid Home Test to Reduce Sexual Risk Behavior in MSM and Transgender WomenR01HD076636 · NICHD · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI CARBALLO-DIEGUEZ, ALEX · 2014 to 2018
$3.1M
The Next Frontier in Diabetes Communication: Promoting Health Literacy in the Era of Secure MessagingR01LM012355 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARTER, ANDREW JOHN, SCHILLINGER, DEAN · 2015 to 2018
$2.8M
Supplement: Developing Tailored Delivery and Adherence Interventions for use of Long-Acting Biomedical HIV Prevention Strategies by Transgender WomenK01MH115785 · NIMH · UNIVERSITY OF COLORADO DENVER · PI RAEL, CHRISTINE TAGLIAFERRI · 2018 to 2022
$767k
NIAID NIH HHS UM1 AI069415NICHD NIH HHS R01 HD076636NIMHD NIH HHS P60 MD006902NIMH NIH HHS K01 MH115785NIMH NIH HHS P30 MH043520NIMH NIH HHS R25 MH083617NLM NIH HHS R01 LM012355NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

backgroundAssessment of sexual risk behavior is crucial to HIV prevention trials. Currently, there are no biomarkers or objective measures to detect and characterize sexual risk behavior; therefore, we must rely on self-reports. Self-report accuracy may be improved by collecting data in real-time. Our objective was to demonstrate how a text message-based short message service computer-assisted self-interview (SMS-CASI) system can collect daily sexual risk behavior data.

methodsDuring the course of a 2-arm randomized controlled trial, confidential daily SMS-CASI was used to assess sexual risk behavior over three months for participants using only condoms in the control condition and using condoms and HIV self-tests to test themselves and their non-monogamous sexual partner over six months for participants in the intervention condition (total N=272). Active monitoring of participants responses and data cleaning took place concurrently with trial execution. Descriptive statistics were used to examine frequencies related to system functionality, participant reporting, system errors, communication patterns, and overall feasibility of using the SMS-CASI system for reporting sexual risk behavior.

resultsThe SMS-CASI system processed 272,565 messages. In addition, 87 classifications of metadata were collected, for a total of 22,895,460 different data points. Types of messages included these sent (N=171,749; 63.01%) to participants, received (N=100,646; 36.93%) from participants, and failed (N=168; 0.06%) to be sent. Most errors (N=1,858) were due to system malfunctions (N=535; 28.79%) or participants' mistakes (N=1,289; 69.38%). Participant errors included: wrong password, incomplete surveys, and invalid response. The highest error rates by demographic characteristics were by age among older participants [ages 30-39; 383 errors (29.71%), and 40-69; 545 errors (42.28%)] and by race among Hispanic/Latino participants [487 errors (37.78%)].

conclusionsThe SMS-CASI system was effective at confidentially collecting sexual risk behavior data on a daily basis, potentially contributing to reduced recall and social desirability bias. This study provides methodological examples and data demonstrating how SMS-CASI can be used for sexual health data collection.

Indexed as

computer-assisted self-interview (CASI)HIV home testingmHealthtext messaging short message service (SMS)

Identifiers

PMID31380409
PMCPMC6624350
OpenAlexW2951937827

What OpenQuestion holds

Textmetadata
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.