The effect of short message service intervention on glycemic control in diabetes: a systematic review and meta-analysis

The effect of personalized intelligent digital systems for self-care training on type II diabetes: a systematic review and meta-analysis of clinical trials

AIMS

Type 2 diabetes (T2D) is rising worldwide. Self-care prevents diabetic complications. Lack of knowledge is one reason patients fail at self-care. Intelligent digital health (IDH) solutions have a promising role in training self-care behaviors based on patients' needs. This study reviews the effects of RCTs offering individualized self-care training systems for T2D patients.

METHODS

PubMed, Web of Science, Scopus, Cochrane Library, and Science Direct databases were searched. The included RCTs provided data-driven, individualized self-care training advice for T2D patients. Due to the repeated studies measurements, an all-time-points meta-analysis was conducted to analyze the trends over time. The revised Cochrane risk-of-bias tool (RoB 2.0) was used for quality assessment.

RESULTS

In total, 22 trials met the inclusion criteria, and 19 studies with 3071 participants were included in the meta-analysis. IDH interventions led to a significant reduction of HbA1c level in the intervention group at short-term (in the third month: SMD = - 0.224 with 95% CI - 0.319 to - 0.129, p value < 0.0; in the sixth month: SMD = - 0.548 with 95% CI - 0.860 to - 0.237, p value < 0.05). The difference in HbA1c reduction between groups varied based on patients' age and technological forms of IDH services delivery. The descriptive results confirmed the impact of M-Health technologies in improving HbA1c levels.

CONCLUSIONS

IDH systems had significant and small effects on HbA1c reduction in T2D patients. IDH interventions' impact needs long-term RCTs. This review will help diabetic clinicians, self-care training system developers, and researchers interested in using IDH solutions to empower T2D patients.

Comparative efficacy of digitally assisted interventions for glycated haemoglobin levels among patients with type 2 diabetes: A systematic review and component network Meta-Analysis

AIMS

To compare the efficacy of digitally assisted interventions on the glycated haemoglobin (HbA1c) levels of patients with type 2 diabetes by performing a systematic review, network meta-analysis and component network meta-analysis.

METHODS

Six databases were searched to identify eligible articles from the inception of each database until 17 March 2023. We included randomized controlled trials evaluating HbA1c levels. Data were pooled with a random-effects model under a frequentist framework. The evidence certainty was assessed using Confidence in Network MetaAnalysis (CINeMA). The PROSPERO registration number was CRD42021283815.

RESULTS

In total, 75 trials involving 9764 participants were included. Results from standard network meta-analyses of 17 interventions revealed that compared with standard care, a mobile application (MA) combined with a professional education programme and peer support education (PSE; -1.98, 95% confidence interval = -2.90 to -1.06, CINeMA score: moderate to high) significantly reduced HbA1c levels. The component analysis found that PSE (-1.50, -2.36 to -0.64), SMS (-0.33, -0.56 to -0.11), MA (-0.30, -0.56 to -0.04) and telephone calls (-0.30, -0.53 to -0.06) most effectively reduced HbA1c levels among patients with type 2 diabetes.

CONCLUSIONS

SMS and MA are the optimal digitally assisted interventions for reducing HbA1c levels. Educators can integrate digitally assisted interventions complemented by educational programmes, particularly MA combined with professional education programme and PSE, into daily care to control HbA1c. The limitations of included trials include a lack of information on allocation concealment and blinding and the fact that long-term follow-up effects were not investigated.

Effects of E-health-based interventions on glycemic control for patients with type 2 diabetes: a Bayesian network meta-analysis

The high disease burden of type 2 diabetes seriously affects the quality of life of patients, and with the deep integration of the Internet and healthcare, the application of electronic tools and information technology to has become a trend for disease management. The aim of this study was to evaluate the effectiveness of different forms and durations of E-health interventions in achieving glycemic control in type 2 diabetes patients. PubMed, Embase, Cochrane, and Clinical Trials.gov were searched for randomized controlled trials reporting different forms of E-health intervention for glycemic control in type 2 diabetes patients, including comprehensive measures (CM), smartphone applications (SA), phone calls (PC), short message service (SMS), websites (W), wearable devices (WD), and usual care. The inclusion criteria were as follows: (1) adults (age≥18) with type 2 diabetes mellitus; (2) intervention period ≥1 month; (3) outcome HbA1c (%); and (4) randomized control of E-health based approaches. Cochrane tools were used to assess the risk of bias. R 4.1.2 was used to conduct the Bayesian network meta-analysis. A total of 88 studies with 13,972 type 2 diabetes patients were included. Compared to the usual care group, the SMS-based intervention was superior in reducing HbA1c levels (mean difference (MD)-0.56, 95% confidence interval (CI): -0.82 to -0.31), followed by SA (MD-0.45, 95% CI: -0.61 to -0.30), CM (MD-0.41, 95% CI: -0.57 to -0.25), W (MD-0.39, 95% CI: -0.60 to -0.18) and PC (MD-0.32, 95% CI: -0.50 to -0.14) (p < 0.05). Subgroup analysis revealed that intervention durations of ≤6 months were most effective. All type of E-health based approaches can improve glycemic control in patients with type 2 diabetes. SMS is a high-frequency, low-barrier technology that achieves the best effect in lowering HbA1c, with ≤6 months being the optimal intervention duration.

Systematic review registration

https://www.crd.york.ac.uk/prospero, identifier CRD42022299896.

The syndromic triad of COVID-19, type 2 diabetes, and malnutrition

The coronavirus disease 2019 (COVID-19) pandemic challenges our collective understanding of transmission, prevention, complications, and clinical management of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Risk factors for severe infection, morbidity, and mortality are associated with age, environment, socioeconomic status, comorbidities, and interventional timing. Clinical investigations report an intriguing association of COVID-19 with diabetes mellitus and malnutrition but incompletely describe the triphasic relationship, its mechanistic pathways, and potential therapeutic approaches to address each malady and their underlying metabolic disorders. This narrative review highlights common chronic disease states that interact epidemiologically and mechanistically with the COVID-19 to create a syndromic phenotype-the COVID-Related Cardiometabolic Syndrome-linking cardiometabolic-based chronic disease drivers with pre-, acute, and chronic/post-COVID-19 disease stages. Since the association of nutritional disorders with COVID-19 and cardiometabolic risk factors is well established, a syndromic triad of COVID-19, type 2 diabetes, and malnutrition is hypothesized that can direct, inform, and optimize care. In this review, each of the three edges of this network is uniquely summarized, nutritional therapies discussed, and a structure for early preventive care proposed. Concerted efforts to identify malnutrition in patients with COVID-19 and elevated metabolic risks are needed and can be followed by improved dietary management while simultaneously addressing dysglycemia-based chronic disease and malnutrition-based chronic disease.

A New Taxonomy for Technology-Enabled Diabetes Self-Management Interventions: Results of an Umbrella Review

BACKGROUND

A 2017 umbrella review defined the technology-enabled self-management (TES) feedback loop associated with a significant reduction in A1C. The purpose of this 2021 review was to develop a taxonomy of intervention attributes in technology-enabled interventions; review recent, high-quality systematic reviews and meta-analyses to determine if the TES framework was described and if elements contribute to improved diabetes outcomes; and to identify gaps in the literature.

METHODS

We identified key technology attributes needed to describe the active ingredients of TES interventions. We searched multiple databases for English language reviews published between April 2017 and April 2020, focused on PwD (population) receiving diabetes care and education (intervention) using technology-enabled self-management (comparator) in a randomized controlled trial, that impact glycemic, behavioral/psychosocial, and other diabetes self-management outcomes. AMSTAR-2 guidelines were used to assess 50 studies for methodological quality including risk of bias.

RESULTS

The TES Taxonomy was developed to standardize the description of technology-enabled interventions; and ensure research uses the taxonomy for replication and evaluation. Of the 26 included reviews, most evaluated smartphones, mobile applications, texting, internet, and telehealth. Twenty-one meta-analyses with the TES feedback loop significantly lowered A1C.

CONCLUSIONS

Technology-enabled diabetes self-management interventions continue to be associated with improved clinical outcomes. The ongoing rapid adoption and engagement of technology makes it important to focus on uniform measures for behavioral/psychosocial outcomes to highlight healthy coping. Using the TES Taxonomy as a standard approach to describe technology-enabled interventions will support understanding of the impact technology has on diabetes outcomes.

Developing Mobile Health Interventions With Implementation in Mind: Application of the Multiphase Optimization Strategy (MOST) Preparation Phase to Diabetes Prevention Programming

With thousands of mobile health (mHealth) solutions on the market, patients and health care providers struggle to identify which solution to use and prescribe. The lack of evidence-based mHealth solutions may be because of limited research on intervention development and the continued use of traditional research methods for mHealth evaluation. The Multiphase Optimization Strategy (MOST) is a framework that aids in developing interventions that produce the best-expected outcomes (ie, effectiveness), given constraints imposed on affordability, scalability, and efficiency (also known as achieving intervention EASE). The preparation phase of the MOST highlights the importance of formative intervention development-a stage often overlooked and rarely published. The aim of the preparation phase of the MOST is to identify candidate intervention components, create a conceptual model, and define the optimization objective. Although the MOST sets these 3 targets, no guidance is provided on how to conduct quality research within the preparation phase and what specific steps can be taken to identify potential intervention components, develop the conceptual model, and achieve intervention EASE with the implementation context in mind. To advance the applicability of the MOST within the field of implementation science, this study provides an account of the methods used to develop an mHealth intervention using the MOST. Specifically, we provide an example of how to achieve the goals of the preparation phase by outlining the formative development of an mHealth-prompting intervention within a diabetes prevention program. In addition, recommendations are proposed for future researchers to consider when conducting formative research on mHealth interventions with implementation in mind. Given its considerable reach, mHealth has the potential to positively affect public health by decreasing implementation costs and improving accessibility. The MOST is well-suited for the efficient development and optimization of mHealth interventions. By using an implementation-focused lens and outlining the steps in developing an mHealth intervention using the preparation phase of the MOST, this study may guide future intervention developers toward maximizing the impact of mHealth outside academia.

COVID-19 Precautionary Measures and Type 1 Diabetes Patients in Saudi Arabia

AIM

To minimize the spread of COVID-19, the Kingdom of Saudi Arabia (KSA) enforced a nationwide lockdown. We aimed to explore whether the manner in which Saudi patients with type 1 diabetes (T1D) manage their disease has changed during this unparalleled lockdown.

METHODS

An online survey exploring the effect of lockdown on T1D outcomes was distributed among T1D patients residing in KSA during lockdown.

RESULTS

A total of 1010 patients responded to the survey. Around 40% reported communicating with their physicians during lockdown. Age, level of education, residence, previous visits to diabetes education clinics, last HbA1c value, and average monthly income were all significantly associated with communication with the treating physician (p = 0.008, p < 0.001, p < 0.001, p = 0.002, p < 0.001, and p < 0.001, respectively). Age, level of education, and average monthly income were significantly associated with experiencing severe hypoglycemia (p = 0.036, p = 0.03, and p < 0.001, respectively), while average monthly income and level of education were significantly associated with experiencing diabetic ketoacidosis (DKA) (p < 0.001 and p = 0.0039, respectively); during lockdown. Patients who communicated with their physicians reported lower rates of severe hypoglycemia compared to those who did not (25.2% vs 30.7%, respectively).

CONCLUSION

Age and level of education were significantly associated with communication with the treating physician, and experiencing severe hypoglycemia and DKA; in patients with T1D during the lockdown period in Saudi Arabia. Keeping two-way virtual communication channels between physicians and their T1D patients should be encouraged.

Efficacy of IVRS-based mHealth intervention in reducing cardiovascular risk in metabolic syndrome: A cluster randomized trial

AIMS

Efficacy of mobile-phone based intervention for reducing cardiovascular risk in metabolic syndrome (MetSyn).

METHODS

We screened adults 20-60 years in 10 villages in India for MetSyn using stratified cluster sampling. Lifestyle and biochemical risk factors were assessed. International Harmonized Criteria were used for diagnosis. Villages were randomized with 5 each in control and intervention groups. Interactive voice response system (IVRS) in Hindi was developed. In intervention clusters two messages for promotion of healthy lifestyle and medical treatment were broadcast daily over 12-months and risk factors reassessed.

RESULTS

1012/1200(84%) persons were screened and MetSyn diagnosed in 286(28.3%). Villages were divided into 5 control(n = 136) and 5 intervention(n = 147) clusters. Baseline characteristics in both clusters were similar. Acceptability of intervention was >60% in 80% participants. At 12 months, significantly greater participants in intervention vs control clusters had healthier lifestyle (healthy diet 28.8vs14.7%, physical activity 25.9vs13.1%, tobacco 13.7vs32.5%), anthropometry (waist circumference 85.7 ± 6.3vs88.6 ± 14.0 cm, body mass index 21.9 ± 2.8vs23.1 ± 2.9 kg/m²), systolic BP 123.6 ± 7.7vs128.6 ± 14.1 mmHg, fasting glucose 95.6 ± 19.4vs109.4 ± 43.7 mg/dl, cholesterol 175.5 ± 36.5vs186.4 ± 43.3 mg/dl, and triglycerides 147.6 ± 48.3vs159.5 ± 60.7 mg/dl (p < 0.01). Prevalence of metabolic syndrome declined in intervention group by 22.3%vs3.9%, p < 0.001).

CONCLUSION

An interactive voice response system based technology significantly reduced multiple cardiovascular risk factors and prevalence of metabolic syndrome.

The future is now: a call for action for cardiac telerehabilitation in the COVID-19 pandemic from the secondary prevention and rehabilitation section of the European Association of Preventive Cardiology

The role of comprehensive cardiac rehabilitation is well established in the secondary prevention of cardiovascular diseases such as coronary artery disease and heart failure. Numerous trials have demonstrated both the effectiveness as well as the cost-effectiveness of comprehensive cardiac rehabilitation in improving exercise capacity and quality of life, and in reducing cardiovascular mortality and morbidity. However, the current COVID-19 pandemic has led to closure of many cardiac rehabilitation centres in Europe resulting in many eligible patients unable to participate in the optimisation of secondary prevention and physical performance. This elicits an even louder call for alternatives such as cardiac telerehabilitation to maintain the delivery of the core components of cardiac rehabilitation to cardiovascular disease patients. The present call for action paper gives an update of recent cardiac telerehabilitation studies and provides a practical guide for the setup of a comprehensive cardiac telerehabilitation intervention during the COVID-19 pandemic. This set up could also be relevant to any cardiovascular disease patient not able to visit cardiac rehabilitation centres regularly after the COVID-19 pandemic ceases.

The effect of diabetes education and short message service reminders on metabolic control and disease management in patients with type 2 diabetes mellitus

AIM

The aim of this study was to evaluate the effect of diabetes education and short message service reminders on metabolic control and disease management in patients with type 2 diabetes mellitus who were registered in a family health center and who were using oral antidiabetics.

METHODS

This pre-test and post-test control group interventional study was conducted between 2017 and 2019. For one-way analysis of variance, effect size=0.40, α=0.05 and 80% power for each group was considered to be appropriate for 48 participants. Considering probability of losses during the study, 101 patients with type-2 DM were selected to include in the study. At the beginning of the study of all the patients, metabolic (HbA1c, FBS, triglycerides, cholesterol, HDL, LDL), anthropometric (BMI), blood pressure (BP) and scales assessments were performed. The Follow-Up Form for Patients with Diabetes, Diabetes Self-Care Scale (DSCS) and World Health Organization (WHO) (5) Goodness Scale were used as data collection tools. In the study, the structured group-based education program consisting of five modules was given to the intervention group in two sessions. Immediately after the education program, short message reminders about diabetes management were sent twice a week for a six-month period to intervention group. During the study, each group was invited to the family health center to perform the third- and sixth-month evaluations. Data were analyzed by SPSS version 19. In the study, categorical variables were evaluated with Chi-squared test. The differences of the groups over time were evaluated using the Friedman test and binary comparisons of differences by Wilcoxon test. The changes among groups over time were evaluated by Mann-Whitney test.

RESULTS

In the evaluations for the third and sixth months, it was found that there was a statistically significant difference between the intervention and control groups in terms of HbA1c, fasting blood sugar, lipid values (except triglycerides), blood pressure, body mass index and the scales results (p<0.001).

CONCLUSION

Diabetes education and SMS reminders sent for six months were effective in improving metabolic control and disease management in patients with type 2 diabetes mellitus.

Diabetes and COVID-19: Risks, Management, and Learnings From Other National Disasters

Evidence relating to the impact of COVID-19 in people with diabetes (PWD) is limited but continuing to emerge. PWD appear to be at increased risk of more severe COVID-19 infection, though evidence quantifying the risk is highly uncertain. The extent to which clinical and demographic factors moderate this relationship is unclear, though signals are emerging that link higher BMI and higher HbA_1c to worse outcomes in PWD with COVID-19. As well as posing direct immediate risks to PWD, COVID-19 also risks contributing to worse diabetes outcomes due to disruptions caused by the pandemic, including stress and changes to routine care, diet, and physical activity. Countries have used various strategies to support PWD during this pandemic. There is a high potential for COVID-19 to exacerbate existing health disparities, and research and practice guidelines need to take this into account. Evidence on the management of long-term conditions during national emergencies suggests various ways to mitigate the risks presented by these events.