Evidence map›Paper›PMID 35018546›Full record

ArticleAIDS and behavior2022

Response Patterns to Weekly Short Message Service Health Surveys Among Diverse Youth at High Risk for Acquiring HIV.

Wenze Tang, Heather J Gunn, Stephen Kwok, W Scott Comulada, Elizabeth Mayfield Arnold, Dallas Swendeman, M Isabel Fernández, ATN masthead University of California, Los Angeles

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AIDS and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

8 authors.

Wenze TangHarvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0491-8842
Heather J GunnMayo Clinic, Rochester, MN, USA.
Stephen KwokUCLA Center for Community Health, Los Angeles, CA, USA.
W Scott ComuladaUCLA Center for Community Health, 10920 Wilshire Blvd Suite 350, Los Angeles, CA, 90024, USA. wcomulada@mednet.ucla.edu.
Elizabeth Mayfield ArnoldUniversity of Texas Southwestern Medical Center, Dallas, TX, USA.
Dallas SwendemanUCLA Center for Community Health, Los Angeles, CA, USA.
M Isabel FernándezNova Southeastern University, Fort Lauderdale, FL, USA.
ATN masthead University of California, Los Angeles

Funding

UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Sung-Jae Lee · 1997 to 2026
$53.5M
Optimizing the HIV Treatment Continuum with a Stepped Care Model for Youth Living with HIVU19HD089886 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FERNANDEZ, MARIA ISABEL, ROTHERAM-BORUS, MARY JANE · 2016 to 2022
$23.4M
Post-doctoral HIV Research Training Program for HIV Combination PreventionT32MH109205 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROTHERAM-BORUS, MARY JANE · 2016 to 2020
$2.3M
eunice kennedy shriver national institute of child health and human development U19HD089886NICHD NIH HHS U19 HD089886NIMH NIH HHS P30 MH058107NIMH NIH HHS P30MH058107NIMH NIH HHS T32 MH109205NIMH NIH HHS T32MH109205
6 · The paper itself

Abstract

HIV researchers use short messaging service (SMS)-based surveys to monitor health behaviors more closely than what would be possible with in-person assessment. Benefits are tempered by nonresponse to completing surveys. Understanding response patterns and their associated study participant characteristics would guide more tailored use of SMS-based surveys for HIV studies. We examined response to weekly 7-item SMS surveys administered as part of an HIV prevention trial. Using Mixture hidden Markov models (MHMM), we identified the underlying response patterns shared by subgroups of participants over time and quantified the association between these response patterns and participant characteristics. Three underlying response patterns were identified; responders, responders with phone-related errors, and non-responders. Non-responders versus responders were more likely to be younger, male, cis-gender, Black and Latinx participants with histories of homelessness, incarceration, and social support service utilization. Responders with phone-related errors compared to non-responders were more likely to be Black, Latinx, female, students, and have a history of incarceration and social support service utilization. More nuanced results from MHMM analyses better inform what strategies to use for increasing SMS response rates, including assisting in securing phone ownership/service for responders with phone-related errors and identifying alternative strategies for non-responders. Actively collecting and monitoring non-delivery notification data available from SMS gateway service companies offers another opportunity to identify and connect with participants when they are willing but unable to respond during follow-up.

Indexed as

Acquired Immunodeficiency SyndromeCell PhoneHIV InfectionsText MessagingAdolescentFemaleHealth SurveysHumansMaleSurveys and QuestionnairesEcological momentary assessmentHIVMixture hidden Markov modelsResponse compliance

Identifiers

PMID35018546
PMCPMC9167232

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.