ArticleInternational journal of medical informatics2017
Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions.
Article in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effectiveness of SMS-based interventions in enhancing antenatal care in developing countries: a systematic review.BMJ open · 2025Pooled it
- Influencing medication taking behaviors using automated two-way digital communication: A narrative synthesis systematic review informed by the Behavior Change Wheel.British journal of health psychology · 2022Pooled it
- Cost savings in male circumcision post-operative care using two-way text-based follow-up in rural and urban South Africa.PloS one · 2023Trial
- Personalized Reminders for Immunization Using Short Messaging Systems to Improve Human Papillomavirus Vaccination Series Completion: Parallel-Group Randomized Trial.JMIR mHealth and uHealth · 2021Trial
- Developing an integrated medication event monitoring system and smartphone-based ecological momentary assessment delivery platform to identify real-time factors influencing TB treatment adherence in South Africa.Journal of clinical tuberculosis and other mycobacterial diseases · 2026Article
- Development and Use of Mobile Messaging for Individuals With Musculoskeletal Pain Conditions: Scoping Review.JMIR mHealth and uHealth · 2024Article
- Technology-supported behavior change interventions for reducing sodium intake in adults: a systematic review and meta-analysis.NPJ digital medicine · 2024Review
- An mHealth Text Messaging Program Providing Symptom Detection Training and Psychoeducation to Improve Hypoglycemia Self-Management: Intervention Development Study.JMIR formative research · 2023Article
- Understanding Physical Activity Determinants in an HIV Self-Management Intervention: Qualitative Analysis Guided by the Theory of Planned Behavior.JMIR formative research · 2023Article
- Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps: Validation Against an Evidence-Based Framework.Journal of diabetes science and technology · 2023Article
- Addressing Health Inequities in Digital Clinical Trials: A Review of Challenges and Solutions From the Field of HIV Research.Epidemiologic reviews · 2022Review
- Coverage and Acceptability of Mobile Phone Messages for Cancer Prevention: a Population-Based Study in a Latin American Country.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022Article
- Exploring the Equity Impact of Current Digital Health Design Practices: Protocol for a Scoping Review.JMIR research protocols · 2022Article
- Design and Preliminary Realization of a Screening and Early Warning Health Management System for Populations at High Risk for Depression.International journal of environmental research and public health · 2022Article
- A Qualitative Examination of COVID-19's Impacts on Physical Activity and Perceptions of Remote Delivery Interventions.American journal of health promotion : AJHP · 2022Article
- Internet-based peer support interventions for people living with HIV: A scoping review.PloS one · 2022Article
- Effectiveness of a Postpartum Text Message Program (Essential Coaching for Every Mother) on Maternal Psychosocial Outcomes: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2021Article
- Development and feasibility of a Configurable Assessment Messaging Platform for Interventions (CAMPI).Families, systems & health : the journal of collaborative family healthcare · 2021Article
- Equipping community health workers with digital tools for pandemic response in LMICs.Archives of public health = Archives belges de sante publique · 2021Article
- Citizen-Patient Involvement in the Development of mHealth Technology: Protocol for a Systematic Scoping Review.JMIR research protocols · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectivesMobile technology supporting text messaging interventions (TMIs) continues to evolve, presenting challenges for researchers and healthcare professionals who need to choose software solutions to best meet their program needs. The objective of this review was to systematically identify and compare text messaging platforms and to summarize their advantages and disadvantages as described in peer-reviewed literature.
methodsA scoping review was conducted using four steps: 1) identify currently available platforms through online searches and in mHealth repositories; 2) expand evaluation criteria of an mHealth mobile messaging toolkit and integrate prior user experiences as researchers; 3) evaluate each platform's functions and features based on the expanded criteria and a vendor survey; and 4) assess the documentation of platform use in the peer-review literature. Platforms meeting inclusion criteria were assessed independently by three reviewers and discussed until consensus was reached. The PRISMA guidelines were followed to report findings.
resultsOf the 1041 potentially relevant search results, 27 platforms met inclusion criteria. Most were excluded because they were not platforms (e.g., guides, toolkits, reports, or SMS gateways). Of the 27 platforms, only 12 were identified in existing mHealth repositories, 10 from Google searches, while five were found in both. The expanded evaluation criteria included 22 items. Results indicate no uniform presentation of platform features and functions, often making these difficult to discern. Fourteen of the platforms were reported as open source, 10 focused on health care and 16 were tailored to meet needs of low resource settings (not mutually exclusive). Fifteen platforms had do-it-yourself setup (programming not required) while the remainder required coding/programming skills or setups could be built to specification by the vendor. Frequently described features included data security and access to the platform via cloud-based systems. Pay structures and reported targeted end-users varied. Peer-reviewed publications listed only 6 of the 27 platforms across 21 publications. The majority of these articles reported the name of the platform used but did not describe advantages or disadvantages.
conclusionsSearching for and comparing mHealth platforms for TMIs remains a challenge. The results of this review can serve as a resource for researchers and healthcare professionals wanting to integrate TMIs into health interventions. Steps to identify, compare and assess advantages and disadvantages are outlined for consideration. Expanded evaluation criteria can be used by future researchers. Continued and more comprehensive platform tools should be integrated into mHealth repositories. Detailed descriptions of platform advantages and disadvantages are needed when mHealth researchers publish findings to expand the body of research on TMI tools for healthcare. Standardized descriptions and features are recommended for vendor sites.
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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.