Evidence map›Paper›PMID 39689299›Full record

ReviewJournal of medical Internet research2024

Don't Forget the Humble Text Message: 25 Years of Text Messaging in Health.

Rosie Dobson, Robyn Whittaker, Lorien C Abroms, Dale Bramley, Caroline Free, Hayden McRobbie, Melanie Stowell, Anthony Rodgers

Abstract readHistorical ArticleReview
In one paragraph

Review in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

8 authors.

Rosie DobsonSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-0122-1000
Robyn WhittakerSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID 0000-0003-0901-9149
Lorien C AbromsDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, DC, United States.ORCID 0000-0001-6859-283X
Dale BramleyService Improvement and Innovation, Te Whatu Ora, Auckland, New Zealand.ORCID 0009-0003-5468-5535
Caroline FreeClinical Trials Unit, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-1711-0006
Hayden McRobbieNational Public Health Service, Te Whatu Ora, Auckland, New Zealand.ORCID 0000-0002-7777-1845
Melanie StowellSchool of Population Health, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-8859-4573
Anthony RodgersThe George Institute for Global Health, Sydney, Australia.ORCID 0000-0003-1282-1896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the early studies exploring the use of SMS text messaging for health intervention, text messaging has played a pivotal role in the advancement of mobile health. As an intervention modality, text messaging has provided vital learnings for the design and delivery of interventions, particularly in low-resource settings. Despite the advances in technology over the last 25 years, text messaging is still being used in largely the same way to deliver health information, behavior change interventions, and support. The strong, consistent evidence for the benefits of this type of intervention has made text messaging a routine part of health interventions around the world. Key to its success is its simplicity, alongside the benefit of being arguably the most accessible form of consumer digital health intervention. Text message interventions are well suited for public health interventions due to their low cost, vast reach, frequent use, high read rates, and ability to be tailored and personalized. Furthermore, the nature of text messaging interventions makes them ideal for the delivery of multilingual, culturally tailored interventions, which is important in the context of increasing cultural diversity in many countries internationally. Indeed, studies assessing text message-based health interventions have shown them to be effective across sociodemographic and ethnic groups and have led to their adoption into national-level health promotion programs. With a growing focus on artificial intelligence, robotics, sensors, and other advances in digital health, there is an opportunity to integrate these technologies into text messaging programs. Simultaneously, it is essential that equity remains at the forefront for digital health researchers, developers, and implementers. Ensuring digital health solutions address inequities in health experienced across the world while taking action to maximize digital inclusion will ensure the true potential of digital health is realized. Text messaging has the potential to continue to play a pivotal role in the delivery of equitable digital health tools to communities around the world for many years to come. Further new technologies can build on the humble text message, leveraging its success to advance the field of digital health. This Viewpoint presents a retrospective of text messaging in health, drawing on the example of text message-based interventions for smoking cessation, and presents evidence for the continued relevance of this mobile health modality in 2025 and beyond.

Indexed as

Text MessagingDigital HealthHealth PromotionHistory, 20th CenturyHistory, 21st CenturyHumansTelemedicinemessagingmHealthmobile healthSMStextingtext messaging

Identifiers

PMID39689299
PMCPMC11688580

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.