Evidence map›Paper›PMID 30630442›Full record

SynthesisBMC endocrine disorders2019

Impact of technology-based interventions for children and young people with type 1 diabetes on key diabetes self-management behaviours and prerequisites: a systematic review.

Emily C L Knox, Helen Quirk, Cris Glazebrook, Tabitha Randell, Holly Blake

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04888780 (Gaziantep Islamic University of Science and Technology), which is not on this map. Cited by 22 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 5 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.

NCT04888780 nacompletednot on this map

Gaziantep Islamic University of Science and Technology

TypeinterventionalSponsorGaziantep Islam Science and Technology UniversityRan2017 to 2018Enrolled30ConditionsMental Disorder in Adolescence, Behavioral Symptoms, Problem BehaviorArmsThe web-based Watson's Human Care Theory oriented training
3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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.

Emily C L KnoxUniversity of Nottingham, School of Health Sciences, Nottingham, UK.
Helen QuirkSheffield Hallam University, Centre for Sport and Exercise Science, Sheffield, UK.
Cris GlazebrookUniversity of Nottingham, School of Medicine, Nottingham, UK.
Tabitha RandellDepartment of Paediatric Endocrinology and Diabetes, Nottingham Children's Hospital, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Holly BlakeUniversity of Nottingham, School of Health Sciences, Nottingham, UK. holly.blake@nottingham.ac.uk.ORCID http://orcid.org/0000-0003-3080-2306

Funding

Department of Health PB-PG-0215-36024Research for Patient Benefit Programme PB-PG-0215-36024
6 · The paper itself

Abstract

backgroundThe role of technology in the self-management of type 1 diabetes mellitus (T1DM) among children and young people is not well understood. Interventions should aim to improve key diabetes self-management behaviours (self-management of blood glucose, insulin administration, physical activity and dietary behaviours) and prerequisites (psychological outcomes and HbA1c) highlighted in the UK guidelines of the National Institute for Health and Care Excellence (NICE) for management of T1DM. The purpose was to identify evidence to assess the effectiveness of technological tools in promoting aspects of these guidelines amongst children and young people.

methodsA systematic review of English language articles was conducted using the following databases: Web of Science, PubMed, Scopus, NUSearch, SAGE Journals, SpringerLink, Google Scholar, Science Direct, Sport Discus, Embase, Psychinfo and Cochrane Trials. Search terms included paediatric, type one diabetes, technology, intervention and various synonyms. Included studies examined interventions which supplemented usual care with a health care strategy primarily delivered through a technology-based medium (e.g. mobile phone, website, activity monitor) with the aim of engaging children and young people with T1DM directly in their diabetes healthcare. Studies did not need to include a comparator condition and could be randomised, non-randomised or cohort studies but not single-case studies.

resultsOf 30 included studies (21 RCTs), the majority measured self-monitoring of blood glucose monitoring (SMBG) frequency, clinical indicators of diabetes self-management (e.g. HbA1c) and/or psychological or cognitive outcomes. The most positive findings were associated with technology-based health interventions targeting SMBG as a behavioural outcome, with some benefits found for clinical and/or psychological diabetes self-management outcomes. Technological interventions were well accepted by children and young people. For the majority of included outcomes, clinical relevance was deemed to be little or none.

conclusionsMore research is required to assess which elements of interventions are most likely to produce beneficial behavioural outcomes. To produce clinically relevant outcomes, interventions may need to be delivered for at least 1 year and should consider targeting individuals with poorly managed diabetes. It is not possible to determine the impact of technology-based interventions on insulin administration, dietary habits and/or physical activity behaviour due to lack of evidence.

Indexed as

AdolescentBlood Glucose Self-MonitoringChildDiabetes Mellitus, Type 1Health BehaviorHumansInsulinMobile ApplicationsMonitoring, PhysiologicRisk Reduction BehaviorSelf-ManagementUser-Computer InterfaceWearable Electronic DevicesInsulinChild and young peopleHealthInterventionSelf-managementTechnologyType one diabetes mellitus

Identifiers

PMID30630442
PMCPMC6329145

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.