Evidence map›Paper›PMID 27802283›Full record

Trial reportPloS one2016

Impact of a Daily SMS Medication Reminder System on Tuberculosis Treatment Outcomes: A Randomized Controlled Trial.

Shama Mohammed, Rachel Glennerster, Aamir J Khan

2 registry-linked trialsAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in PloS one, 2016. 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 68 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 13 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.

NCT01690754 nacompletednot on this map

Monitoring Patient Compliance With Tuberculosis Treatment Regimens

TypeinterventionalSponsorInteractive Research and DevelopmentRan2011 to 2014Enrolled2,207ConditionsTuberculosisArmsInteractive Reminders
NCT04119375 nacompletednot on this mapstarted 2018, after this paper: background citation

Behavior Change and Digital Health Interventions for Improved TB Treatment Outcomes: a RCT

TypeinterventionalSponsorMassachusetts Institute of TechnologyRan2018 to 2021Enrolled16,146ConditionsTuberculosis, Adherence, Patient, Adherence, Medication, Drug-resistant TuberculosisArmsKeheala Mobile Health Platform and Behavioral Interventions, Social and Behavior Change Communication (SBCC), SMS Reminder, Standard of Care
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  5. eHealth in TB clinical management.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2022
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  11. Theories Applied to m-Health Interventions for Behavior Change in Low- and Middle-Income Countries: A Systematic Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2018
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  18. 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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8 more citing papers are in PubMed but not listed here.

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.

Shama MohammedInteractive Research and Development, Karachi, Pakistan.
Rachel GlennersterAbdul Latif Jameel Poverty Action Lab, Massachusetts Institute of Technology, Cambridge, MA, United States of America.
Aamir J KhanInteractive Research and Development, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThe rapid uptake of mobile phones in low and middle-income countries over the past decade has provided public health programs unprecedented access to patients. While programs have used text messages to improve medication adherence, there have been no high-powered trials evaluating their impact on tuberculosis treatment outcomes.

objectiveTo measure the impact of Zindagi SMS, a two-way SMS reminder system, on treatment success of people with drug-sensitive tuberculosis.

designWe conducted a two-arm, parallel design, effectiveness randomized controlled trial in Karachi, Pakistan. Individual participants were randomized to either Zindagi SMS or the control group. Zindagi SMS sent daily SMS reminders to participants and asked them to respond through SMS or missed (unbilled) calls after taking their medication. Non-respondents were sent up to three reminders a day.

settingPublic and private sector tuberculosis clinics in Karachi, Pakistan.

participantsNewly-diagnosed patients with smear or bacteriologically positive pulmonary tuberculosis who were on treatment for less than two weeks; 15 years of age or older; reported having access to a mobile phone; and intended to live in Karachi throughout treatment were eligible to participate. We enrolled 2,207 participants, with 1,110 randomized to Zindagi SMS and 1,097 to the control group. MAIN OUTCOME: The primary outcome was clinically recorded treatment success based upon intention-to-treat.

resultsWe found no significant difference between the Zindagi SMS or control groups for treatment success (719 or 83% vs. 903 or 83%, respectively, p = 0·782). There was no significant program effect on self-reported medication adherence reported during unannounced visits during treatment.

conclusionIn this large-scale randomized controlled effectiveness trial of SMS medication reminders for tuberculosis treatment, we found no significant impact.

trial registrationThe trial was registered with ClinicalTrials.gov, NCT01690754.

Indexed as

AdultAppointments and SchedulesCell PhoneDrug MonitoringFemaleHumansMaleMedication SystemsPakistanReminder SystemsResearch DesignText MessagingTreatment OutcomeTuberculosis

Identifiers

PMID27802283
PMCPMC5089745

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.