Evidence map›Paper›PMID 25831269›Full record

Trial reportJournal of medical Internet research2015

Know your audience: predictors of success for a patient-centered texting app to augment linkage to HIV care in rural Uganda.

Mark J Siedner, Data Santorino, Jessica E Haberer, David R Bangsberg

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
15.2field-weighted citation impact, top 1% 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.

NCT01579214 nacompletednot on this map

Cell Phone Messaging to Improve Communication of Critical Laboratory Results to Patients in Rural Uganda

TypeinterventionalSponsorMassachusetts General HospitalRan2012 to 2015Enrolled183ConditionsHIV, TuberculosisArmsCellular Phone Text Messages
NCT03978429 nacompletednot on this mapstarted 2019, after this paper: background citation

A Cluster Randomized, Parallel-group, Superiority Study to Compare the Effectiveness of a Community-based mHealth Strategy Versus Enhanced Usual Care in the Detection and Management of Pre-eclampsia/Eclampsia in Tanzania

TypeinterventionalSponsorDr. Karen YeatesRan2019 to 2020Enrolled3,000ConditionsPre-Eclampsia, Eclampsia, Hypertension, Pregnancy-InducedArmsCommunity-based Pre-eclampsia/Eclampsia Detection and Management, Strengthened Referral Network from Community to Referral hospital levels
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  3. Patterns of usage and preferences of users for tuberculosis-related text messages and voice calls in Uganda.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2018
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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

4 authors at 4 institutions in 2 countries.

Mark J SiednerCenter for Global Health, Massachusetts Genneral Hospital, Harvard Medical School, Boston, MA, United States. msiedner@partners.org.ORCID http://orcid.org/0000-0003-3506-842X
Center for Global Health · USHarvard University · USHarvard University Press · USMbarara University of Science and Technology · UG

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Behavioral Aspects of Low-cost Medical Devices to Improve HIV CareK23MH099916 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI SIEDNER, MARK J · 2013 to 2017
$917k
FIC NIH HHS R24 TW007988NIAID NIH HHS T32 AI007433NIMH NIH HHS K23 MH099916
6 · The paper itself

Abstract

backgroundDespite investments in infrastructure and evidence for high acceptability, few mHealth interventions have been implemented in sub-Saharan Africa.

objectiveWe sought to (1) identify predictors of uptake of an mHealth application for a low-literacy population of people living with HIV (PLWH) in rural Uganda and (2) evaluate the efficacy of various short message service (SMS) text message formats to optimize the balance between confidentiality and accessibility.

methodsThe trial evaluated the efficacy of a SMS text messaging app to notify PLWH of their laboratory results and request return to care for those with abnormal test results. Participants with a normal laboratory result received a single SMS text message indicating results were normal. Participants with an abnormal test result were randomized to 1 of 3 message formats designed to evaluate trade-offs between clarity and privacy: (1) an SMS text message that stated results were abnormal and requested return to clinic ("direct"), (2) the same message protected by a 4-digit PIN code ("PIN"), and (3) the message "ABCDEFG" explained at enrollment to indicate abnormal results ("coded"). Outcomes of interest were (1) self-reported receipt of the SMS text message, (2) accurate identification of the message, and (3) return to care within 7 days (for abnormal results) or on the date of the scheduled appointment (for normal results). We fit regression models for each outcome with the following explanatory variables: sociodemographic characteristics, CD4 count result, ability to read a complete sentence, ability to access a test message on enrollment, and format of SMS text message.

resultsSeventy-two percent (234/385) of participants successfully receiving a message, 87.6% (219/250) correctly identified the message format, and 60.8% (234/385) returned to clinic at the requested time. Among participants with abnormal tests results (138/385, 35.8%), the strongest predictors of reported message receipt were the ability to read a complete sentence and a demonstrated ability to access a test message on enrollment. Participants with an abnormal result who could read a complete sentence were also more likely to accurately identify the message format (AOR 4.54, 95% CI 1.42-14.47, P=.01) and return to clinic appropriately (AOR 3.81, 95% CI 1.61-9.03, P=.002). Those who were sent a PIN-protected message were less likely to identify the message (AOR 0.11, 95% CI 0.03-0.44, P=.002) or return within 7 days (AOR 0.26, 95% CI 0.10-0.66, P=.005). Gender, age, and socioeconomic characteristics did not predict any outcomes and there were no differences in outcomes between those receiving direct or coded messages.

conclusionsConfirmed literacy at the time of enrollment was a robust predictor of SMS text message receipt, identification, and appropriate response for PLWH in rural Uganda. PIN-protected messages reduced odds of clinic return, but coded messages were as effective as direct messages and might augment privacy.

trial registrationClinicaltrials.gov NCT 01579214; https://clinicaltrials.gov/ct2/show/NCT01579214 (Archived by WebCite at http://www.webcitation.org/6Ww8R4sKq).

Indexed as

Text MessagingAdultBiomedical TechnologyFemaleHIV InfectionsHumansMaleMiddle AgedRural PopulationTelemedicineUgandaHIVrandomized controlled trialtelemedicinetext messagingUganda

Identifiers

PMID25831269
PMCPMC4389108
OpenAlexW2067382882

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.