Evidence map›Paper›PMID 39352613›Full record

ArticleCurrent diabetes reports2024

Technology-Based Interventions to Promote Diabetes Self-Management Behaviors for Persons Newly Diagnosed with Type 2 Diabetes: A Scoping Review.

Eyitayo O Owolabi, Michelle D S Boakye, Shammah O Omololu, Brittany L Smalls, Gabriel Q Shaibi

Abstract readScoping Review
PubMed Publisher
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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. 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

5 authors.

Eyitayo O OwolabiCenter for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ, 85004, USA. Eyitayo.Owolabi@asu.edu.
Michelle D S BoakyeManning College of Nursing and Health Sciences, University of Massachusetts Boston, Boston, MA, USA.
Shammah O OmololuCollege of Nursing, University of Cincinnati, Cincinnati, OH, USA.
Brittany L SmallsDepartment of Family and Community Medicine, College of Medicine, University of Kentucky, Lexington, KY, USA.
Gabriel Q ShaibiCenter for Health Promotion and Disease Prevention, Edson College of Nursing and Health Innovation, Arizona State University, 500 N 3rd Street, Phoenix, AZ, 85004, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewType 2 diabetes (T2D) management is complex and requires daily personal involvement and self-management skills to maintain optimal glycemic levels and improve health outcomes. Engagement in self-management behaviors in the early years of diagnosis can be challenging due to prevailing psychosocial factors present during this critical transition period, coupled with a lack of information, support, and skills. Technology-based diabetes self-management interventions can improve access to needed education and support, and their effectiveness in the general T2D population is well documented. This scoping review synthesized evidence on the use of technology for promoting diabetes self-management behaviors and related outcomes among individuals newly diagnosed with T2D (within the first 12 months since diagnosis). RECENT

findingsTwenty-five studies were included. Technology-based diabetes self-management interventions tailored to those newly diagnosed with T2D have grown exponentially in the past five years. Existing evidence, though limited, showed that technologies such as websites, mobile apps, and continuous glucose monitoring combined with other communication features, can facilitate patient education, patient-provider communication, and health data monitoring. However, these technologies less commonly involved social support functions. These technologies have the potential to improve diabetes knowledge and positively impact clinical, behavioral, and psychological outcomes. However, small sample sizes, use of non-experimental designs, and the absence of formative research and theoretical foundations limit the strength of existing studies. Technology-based self-management interventions for those newly diagnosed with T2D show promise in improving T2D-related outcomes. Future studies should include larger sample sizes, adopt rigorous study designs, and integrate formative work to enhance relevance, adoption, and impact.

Indexed as

Diabetes Mellitus, Type 2Self-ManagementHealth BehaviorHumansMobile ApplicationsPatient Education as TopicSelf CareDiabetes self-managementLifestyle behaviorsNewly diagnosedTechnologyType 2 diabetes

Identifiers

PMID39352613

What Socratic holds

Textmetadata
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.