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

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.

2020 ◽  
Vol 26 (6) ◽  
pp. 431
Author(s):  
Hassan Hosseinzadeh ◽  
Iksheta Verma ◽  
Vinod Gopaldasani

Patient activation has been recognised as a reliable driver of self-management decision-making. This systematic review and meta-analysis examines existing evidence on whether embedding patient activation within Type 2 diabetes mellitus (T2DM) self-management programs can improve patient outcomes. This review has included 10 randomised controlled trials (RCTs) conducted between 2004 and 2019 retrieved from well-known databases such as MEDLINE, PubMed, CINAHL Plus, Scopus, ProQuest and ScienceDirect. The eligible RCTs were excluded if they scored low according to Cochrane Collaboration’s ‘risk of bias’ criteria. Random-effects meta-analyses showed that there were no significance changes in haemoglobin A1C (HbA1c), body mass index (BMI) and patient activation measure (PAM) between intervention and control groups after the intervention; however, the systematic review findings indicated that an improved patient activation level led to significant improvements in T2DM self-management and clinical outcomes including HbA1c level. Studies with a longer follow-up period conducted in community settings and delivered by peer coaches were more likely to lead to significant improvement in both patient activation levels and T2DM self-management and clinical outcomes. This review concludes that patient activation can be used as a reliable tool for improving T2DM self-management and clinical outcomes.


2020 ◽  
Vol 46 (1) ◽  
pp. 4-16
Author(s):  
Jing Yang ◽  
Hui Yang ◽  
Zihui Wang ◽  
Xin Wang ◽  
Yingkai Wang ◽  
...  

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