scholarly journals Family behaviours that have an impact on the self-management activities of adults living with Type 2 diabetes: a systematic review and meta-synthesis

2017 ◽  
Vol 35 (2) ◽  
pp. 184-194 ◽  
Author(s):  
J. Vongmany ◽  
T. Luckett ◽  
L. Lam ◽  
J. L. Phillips
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
The Self ◽  
Self Management

Behavior change interventions in patients with type 2 diabetes: a systematic review of the effects on self-management and A1c

2021 ◽  
Author(s):  
Ana Paula Delgado Bomtempo Batalha ◽  
Isabela Coelho Ponciano ◽  
Gabriela Chaves ◽  
Diogo Carvalho Felício ◽  
Raquel Rodrigues Britto ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Behavior Change ◽  
Self Management ◽  
Behavior Change Interventions

The Role of Digital Engagement in the Self-Management of Type 2 Diabetes

2016 ◽  
Vol 31 (12) ◽  
pp. 1557-1565 ◽  
Author(s):  
Sora Park ◽  
Sally Burford ◽  
Christopher Nolan ◽  
Leif Hanlen
Keyword(s):  
Type 2 Diabetes ◽  
The Self ◽  
Self Management ◽  
Digital Engagement

scholarly journals Impact of mobile health applications on self-management in patients with type 2 diabetes mellitus: protocol of a systematic review

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e025714 ◽  
Author(s):  
Benard Ayaka Bene ◽  
Siobhan O’Connor ◽  
Nikolaos Mastellos ◽  
Azeem Majeed ◽  
Kayode Philip Fadahunsi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Global Health ◽  
Mobile Health ◽  
Self Management ◽  
Cochrane Central Register ◽  
Mhealth Apps

IntroductionThe emergence of mobile health (mHealth) solutions, particularly mHealth applications (apps), has shown promise in self-management of chronic diseases including type 2 diabetes mellitus (T2DM). While majority of the previous systematic reviews have focused on the effectiveness of mHealth apps in improving treatment outcomes in patients with T2DM, there is a need to also understand how mHealth apps influence self-management of T2DM. This is crucial to ensure improvement in the design and use of mHealth apps for T2DM. This protocol describes how a systematic review will be conducted to determine in which way(s) mHealth apps might impact on self-management of T2DM.MethodsThe following electronic databases will be searched from inception to April 2019: PubMed, MEDLINE, EMBASE, Global Health, PsycINFO, CINAHL, The Cochrane Central Register of Controlled Trials, Scopus, Web of Science, ProQuest Dissertations & Theses Global, Health Management Information Consortium database, Google Scholar and ClinicalTrials.gov. The Cochrane risk of bias tool will be used to assess methodological quality. The primary outcome measures to be assessed will be ‘change in blood glucose’. The secondary outcomes measures will be ‘changes in cardiovascular risk markers’ (including blood pressure, body mass index and blood lipids), and self-management practices. Others will include: health-related quality of life, economic data, social support, harms (eg, death or complications leading to hospital admissions or emergency unit attendances), death from any cause, anxiety or depression and adverse events (eg, hypoglycaemic episodes).Ethics and disseminationThis study will not involve the collection of primary data and will not require ethical approval. The review will be published in a peer-reviewed journal and a one-page summary of the findings will be shared with relevant organisations. Presentation of findings will be made at appropriate conferences.Trial registration numberCRD42017071106.

scholarly journals Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis

2019 ◽  
Vol 5 ◽  
pp. 205520761984527 ◽  
Author(s):  
Cigdem Sahin ◽  
Karen L Courtney ◽  
PJ Naylor ◽  
Ryan E Rhodes
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Text Messaging ◽  
Meta Analysis ◽  
Scientific Evidence ◽  
Self Management ◽  
Reference List ◽  
Pool Data ◽  
Message Delivery

Objectives This study aimed to identify, assess and summarize available scientific evidence on tailored text messaging interventions focused on type 2 diabetes self-management. The systematic review concentrated on message design and delivery features, and tailoring strategies. The meta-analysis assessed the moderators of the effectiveness of tailored text messaging interventions. Methods A comprehensive search strategy included major electronic databases, key journal searches and reference list searching for related studies. PRISMA and Cochrane Collaboration's guidelines and recommended tools for data extraction, quality appraisal and data analysis were followed. Data were extracted on participant characteristics (age, gender, ethnicity), and interventional and methodological characteristics (study design, study setting, study length, choice of modality, comparison group, message type, format, content, use of interactivity, message frequency, message timing, message delivery, tailoring strategies and theory use). Outcome measures included diet, physical activity, medication adherence and glycated hemoglobin data (HbA1C). Where possible, a random effects meta-analysis was performed to pool data on the effectiveness of the tailored text messaging interventions and moderator variables. Results The search returned 13 eligible trials for the systematic review and 11 eligible trials for the meta-analysis. The majority of the studies were randomized controlled trials, conducted in high-income settings, used multi-modalities, and mostly delivered informative, educational messages through an automated message delivery system. Tailored text messaging interventions produced a substantial effect ( g = 0.54, 95% CI = 0.08–0.99, p < 0.001) on HbA1C values for a total of 949 patients. Subgroup analyses revealed the importance of some moderators such as message delivery ( QB = 18.72, df = 1, p = 0.001), message direction ( QB = 5.26, df = 1, p = 0.022), message frequency ( QB = 18.72, df = 1, p = 0.000) and using multi-modalities ( QB = 6.18, df = 1, p = 0.013). Conclusions Tailored mobile text messaging interventions can improve glycemic control in type 2 diabetes patients. However, more rigorous interventions with larger samples and longer follow-ups are required to confirm these findings and explore the effects of tailored text messaging on other self-management outcomes.

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