Evidence map›Paper›PMID 39630283›Full record

ArticleCurrent diabetes reports2024

Advancing Type 2 Diabetes Prevention through Text-Messaging Interventions: A Narrative Review.

Taynara Formagini, Christopher J Gonzalez, Julie Dias, Elva M Arredondo, Eric Hekler, Matthew J O'Brien

Abstract readScoping Review
In one paragraph

Article in Current diabetes reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Taynara FormaginiDepartment of Family Medicine, University of California San Diego, 9500 Gilman Dr., La Jolla, San Diego, CA, 92093, USA. tformagini@health.ucsd.edu.
Christopher J GonzalezDivision of General Internal Medicine, Weill Cornell Medicine, New York, NY, USA.
Julie DiasDepartment of Biological Sciences, University of Central Florida, Orlando, FL, USA.
Elva M ArredondoPsychology Department, San Diego State University, San Diego, CA, USA.
Eric HeklerHerbert Wertheim School of Public Health & Human Longevity Science, University of California San Diego, San Diego, CA, USA.
Matthew J O'BrienDepartment of Medicine, Division of General Internal Medicine and Geriatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MILDA Renne SAUNDERS · 2011 to 2026
$10.0M
UCSD Integrated Cardiovascular Epidemiology FellowshipT32HL079891 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Matthew A Allison · 2007 to 2026
$6.7M
Mentoring trainees from diverse backgrounds in community engaged research to promote cardiovascular healthK24HL173681 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI Elva M Arredondo · 2024 to 2026
$345k
Chicago Center for Diabetes Translation Research P30DK092949NHLBI NIH HHS K24 HL173681NHLBI NIH HHS K24HL173681NHLBI NIH HHS T32 HL079891NHLBI NIH HHS T32HL079891NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

purpose of reviewText-messaging interventions effectively prevent and manage numerous health conditions. This scoping review evaluates recent literature on text-messaging interventions focused on diabetes prevention, highlighting their development, associated outcomes, reach, and potential sustainability. RECENT

findingsA total of 28 studies met eligibility criteria and were included in this review. Text-messaging was often used as a primary intervention method, focusing on promoting weight loss through physical activity and dietary changes. Studies also explored hybrid approaches integrating text-messaging with in-person sessions or other digital platforms. Intervention development involved multi-phase content creation, often leveraging established diabetes prevention curricula. Studies generally reported high feasibility and acceptability, although effectiveness was mixed. Cost-effectiveness comparisons favored text-messaging over traditional in-person programs. Implementation strategies aligned interventions with existing healthcare workflows, facilitating scalability and integration into routine care practices. Text-messaging interventions demonstrate considerable promise but require further refinement to ensure their effectiveness, particularly in enhancing participant engagement to ensure effectiveness and sustainability. Future research should focus on refining intervention content, integrating interactive features, and expanding cost-effectiveness evaluations to support broader implementation in real-world settings.

Indexed as

Diabetes Mellitus, Type 2Text MessagingCost-Effectiveness AnalysisExerciseHealth PromotionHumansDiabetes Prevention Program (DPP)Narrative reviewText messagingType 2 diabetes prevention

Identifiers

PMID39630283
PMCPMC11618152

What Socratic 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 Socratic graph.