Evidence map›Paper›PMID 30621784›Full record

SynthesisSystematic reviews2019

Effectiveness of text messaging interventions on prevention, detection, treatment, and knowledge outcomes for sexually transmitted infections (STIs)/HIV: a systematic review and meta-analysis.

Darlene Taylor, Carole Lunny, Petra Lolić, Orion Warje, Jasmina Geldman, Tom Wong, Mark Gilbert, Richard Lester, Gina Ogilvie

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Mobile phone-based interventions for improving contraception use.The Cochrane database of systematic reviews · 2023
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  8. Healthcare Appointments as Commitment Devices.Economic journal (London, England) · 2025
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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

9 authors.

Darlene TaylorUniversity of British Columbia, 1147 Research Road, Rm ARTS 154, Kelowna, BC, V1V 1V7, Canada. darlene.taylor@ubc.ca.
Carole LunnyUniversity of British Columbia, 2329 West Mall, Vancouver, BC V6T 1Z4, Canada.
Petra LolićBC Centre for Disease Control, 655 W12th Ave, Vancouver, BC, Canada.
Orion WarjeVancouver Island Health Authority, 1952 Bay Street, Victoria, BC, V8R 1J8, Canada.
Jasmina GeldmanUniversity of British Columbia, 1147 Research Road, Rm ARTS 154, Kelowna, BC, V1V 1V7, Canada.
Tom WongHealth Canada/Santé Canada, 200 Eglantine Driveway, Room 1913A, Ottawa, ON, K1A 0K9, Canada.
Mark GilbertBC Centre for Disease Control, 655 W12th Ave, Vancouver, BC, Canada.
Richard LesterUniversity of British Columbia, Research Pavilion, Rm 566, 828 W 10th, Vancouver, BC, V5Z 1 M9, Canada.
Gina OgilvieUniversity of British Columbia, Box 42, 4500 Oak Street, Vancouver, BC, V6H 3N1, Canada.

Funding

CIHR FRN 126321
6 · The paper itself

Abstract

backgroundRates of STIs continue to rise worldwide, and novel evidence-based interventions such as text messaging aimed at improving client services are needed. We conducted a meta-analysis to evaluate text messaging to support STI/HIV prevention and treatment interventions.

methodsWe included articles that reported findings from randomized controlled trials (RTCs) involving adults and youth who were at risk of acquiring (or who currently had) a STI and/or HIV, a text message and comparator intervention, and reported provided outcome data on adherence to STI/HIV treatments. Articles were excluded if they were not published in English. We only included studies that have full-text publications so certainty and risk of bias assessments could be performed. Eight databases were searched to retrieve articles published between 1996 and March 2017. The Cochrane risk of bias tool was used and certainty of the evidence was assessed using GRADE. Effect estimates were pooled using a random effects model.

resultsA total of 35 RCTs were found, 6 of which were considered at low risk of bias. Eight studies found an increased association using text messaging in appointments attended compared to standard care (OR 1.64, 95% CI 1.28 to 2.10). Participants receiving text messages had an increase in HIV testing compared to standard care (n = 6; OR 1.73, 95% CI 1.39 to 2.15). Ten text messaging RCTs measuring adherence using micro-electro-mechanical systems (MEMS) pill counts has a non-significant association (OR 1.17, 95% CI 0.95-1.45) while five studies measuring adherence by self-report was found to be significant (OR 1.64, 95% CI 1.28-2.11).

conclusionsThe effectiveness of text message interventions is equivocal. While text messaging has the potential to enhance the delivery of STI/HIV interventions, program planners are encouraged to evaluate any SMS intervention to ensure it is achieving the desired result. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42013006503.

Indexed as

Health Knowledge, Attitudes, PracticeText MessagingDrug MonitoringHIV InfectionsHumansSexually Transmitted DiseasesDelivery of health careEvidence-based medicineMeta-analysisSexually transmitted diseasesText messaging

Identifiers

PMID30621784
PMCPMC6323863

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.