ArticleBMC nursing2025
Integrative technologies in nursing-led interventions for diabetes management: a systematic review of efficacy and outcomes.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Digital health readiness, technology acceptance, and organisational readiness for nurse-led endocrine care in China.BMC health services research · 2026Article
- Article
- The effect of perceived organizational support on innovative behavior among nurses: a parallel mediation model of digital competence and work thriving.Frontiers in psychology · 2026Article
- Prioritizing Nursing Care Improvements in Chronic Disease Outpatients: A Cross-Sectional Study Based on SERVQUAL and Kano Models.Patient preference and adherence · 2026Article
- Effectiveness of Wearable Technologies in Supporting Physical Activity and Metabolic Health in Adults with Type 2 Diabetes: A Systematic-Narrative Hybrid Review.Healthcare (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
aimTo evaluate the efficacy and outcomes of integrative technologies employed in nursing-led interventions for the management of diabetes.
backgroundWith the global rise in diabetes prevalence, there is growing interest in digital health solutions to improve disease self-management. Nurses are increasingly leveraging technologies, such as mobile applications, wearable devices, and telehealth platforms, to support individuals with diabetes. However, the effectiveness and implementation outcomes of such nursing-led digital interventions remain variably reported in the literature.
methodsA systematic review was conducted following PRISMA 2020 guidelines. Comprehensive five database searches (PubMed, CINAHL, Scopus, Web of Science, and Embase) identified randomized controlled trials (RCTs) from 2013 to 2024. Studies were included if they involved nurse-led interventions incorporating digital technologies for diabetes management. Data were synthesized using narrative and thematic analysis. Risk of bias was assessed using the RoB 2 tool.
resultsThirteen RCTs involving diverse technologies demonstrated improvements in glycemic control (HbA1c reduction), self-management behaviors, and quality of life. Interventions incorporating personalized coaching, regular follow-up, and patient-centered feedback were particularly effective. Most studies were rated as low risk of bias, though some showed concerns regarding reporting practices and intervention fidelity.
conclusionNursing-led digital health interventions can significantly enhance diabetes care outcomes. Their success is contingent upon sustained patient engagement, nurse training, and organizational support. Broader implementation requires addressing digital literacy and system-level integration challenges. IMPLICATIONS FOR PRACTICE: Nurse-led technologies should be embedded in care models to support scalable, personalized, and effective diabetes self-management across diverse settings. CLINICAL TRIAL NUMBER: Not applicable.
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What Socratic holds
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 Socratic graph.