Evidence map›Paper›PMID 28347445›Full record

ArticleInternational journal of medical informatics2017

Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions.

Sarah J Iribarren, William Brown, Rebecca Giguere, Patricia Stone, Rebecca Schnall, Nancy Staggers, Alex Carballo-Diéguez

Abstract readScoping Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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 · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Development and feasibility of a Configurable Assessment Messaging Platform for Interventions (CAMPI).Families, systems & health : the journal of collaborative family healthcare · 2021
    Article
  19. Equipping community health workers with digital tools for pandemic response in LMICs.Archives of public health = Archives belges de sante publique · 2021
    Article
  20. Article
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

7 authors.

Sarah J IribarrenUniversity of Washington, Department of Biobehavioral Nursing and Health Informatics, Seattle, WA, United States; Columbia University, School of Nursing, New York, NY, United States. Electronic address: sjiribar@uw.edu.
William BrownUniversity of California San Francisco, Department of Medicine, Division of Prevention Science, Center for AIDS Prevention Studies, San Francisco, CA, United States; Zuckerberg San Francisco General Hospital, UCSF Center for Vulnerable Populations, Health Communications Research Program, San Francisco, CA, United States; New York State Psychiatric Institute and Columbia University, Division of Gender, Sexuality, and Health, HIV Center for Clinical and Behavioral Studies, New York, NY, United States.
Rebecca GiguereNew York State Psychiatric Institute and Columbia University, Division of Gender, Sexuality, and Health, HIV Center for Clinical and Behavioral Studies, New York, NY, United States.
Patricia StoneColumbia University, School of Nursing, New York, NY, United States.
Rebecca SchnallColumbia University, School of Nursing, New York, NY, United States.
Nancy StaggersUniversity of Utah, Department of Biomedical Informatics and College of Nursing, Salt Lake City, UT, United States.
Alex Carballo-DiéguezNew York State Psychiatric Institute and Columbia University, Division of Gender, Sexuality, and Health, HIV Center for Clinical and Behavioral Studies, New York, NY, United States.

Funding

Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 2001 to 2026
$57.4M
The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Claude Ann Mellins · 2003 to 2026
$48.2M
Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Systems Science and Comparative and Cost-Effectiveness Research Training for Nurse Scientists (S2CER2)T32NR014205 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Lusine Poghosyan, Jingjing Shang · 2013 to 2026
$4.2M
The Next Frontier in Diabetes Communication: Promoting Health Literacy in the Era of Secure MessagingR01LM012355 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KARTER, ANDREW JOHN, SCHILLINGER, DEAN · 2015 to 2018
$2.8M
I3DEAL for HIV ResearchR03MH103957 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BAKKEN, SUZANNE · 2014 to 2015
$160k
NIMH NIH HHS P30 MH043520NIMH NIH HHS P30 MH062246NIMH NIH HHS R03 MH103957NINR NIH HHS T32 NR014205NLM NIH HHS R01 LM012355NLM NIH HHS T15 LM007079
6 · The paper itself

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.

Indexed as

Early Medical InterventionTelemedicineCell PhoneEvaluation Studies as TopicHumansText MessagingmHealthMobile healthReviewShort message serviceSMSText messaging

Identifiers

PMID28347445
PMCPMC5398898

What OpenQuestion holds

Textmetadata
LicenceTDM
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.