Efficiency of an mHealth App and Chest-Wearable Remote Exercise Monitoring Intervention in Patients With Type 2 Diabetes: A Prospective, Multicenter Randomized Controlled Trial

Benchmarking the clinical outcomes of Healthentia SaMD in chronic disease management: a systematic literature review comparison

Background

Software as a Medical Device (SaMD) and mobile health (mHealth) applications have revolutionized the healthcare landscape in the areas of remote patient monitoring (RPM) and digital therapeutics (DTx). These technological advancements offer a range of benefits, from improved patient engagement and real-time monitoring, to evidence-based personalized treatment plans, risk prediction, and enhanced clinical outcomes.

Objective

The systematic literature review aims to provide a comprehensive overview of the status of SaMD and mHealth apps, highlight the promising results, and discuss what is the potential of these technologies for improving health outcomes.

Methods

The research methodology was structured in two phases. In the first phase, a search was conducted in the EuropePMC (EPMC) database up to April 2024 for systematic reviews on studies using the PICO model. The study population comprised individuals afflicted by chronic diseases; the intervention involved the utilization of mHealth solutions in comparison to any alternative intervention; the desired outcome focused on the efficient monitoring of patients. Systematic reviews fulfilling these criteria were incorporated within the framework of this study. The second phase of the investigation involved identifying and assessing clinical studies referenced in the systematic reviews, followed by the synthesis of their risk profiles and clinical benefits.

Results

The results are rather positive, demonstrating how SaMDs can support the management of chronic diseases, satisfying patient safety and performance requirements. The principal findings, after the analysis of the extraction table referring to the 35 primary studies included, are: 24 studies (68.6%) analyzed clinical indications for type 2 diabetes mellitus (T2DM), six studies (17.1%) analyzed clinical indications for cardiovascular conditions, three studies (8.7%) analyzed clinical indications for cancer, one study (2.8%) analyzed clinical indications for chronic obstructive pulmonary disease (COPD), and one study (2.8%) analyzed clinical indications for hypertension. No severe adverse events related to the use of mHealth were reported in any of them. However, five studies (14.3%) reported mild adverse events (related to hypoglycemia, uncontrolled hypertension), and four studies (11.4%) reported technical issues with the devices (related to missing patient adherence requirements, Bluetooth unsuccessful pairing, and poor network connections). For what concerns variables of interest, out of the 35 studies, 14 reported positive results on the reduction of glycated hemoglobin (HbA1c) with the use of mHealth devices. Eight studies examined health-related quality of life (HRQoL); in three cases, there were no statistically significant differences, while the groups using mHealth devices in the other five studies experienced better HRQoL. Seven studies focused on physical activity and performance, all reflecting increased attention to physical activity levels. Six studies addressed depression and anxiety, with mostly self-reported benefits observed. Four studies each reported improvements in body fat and adherence to medications in the mHealth solutions arm. Three studies examined blood pressure (BP), reporting reduction in BP, and three studies addressed BMI, with one finding no statistically significant change and two instead BMI reduction. Two studies reported significant weight/waist reduction and reduced hospital readmissions. Finally, individual studies noted improvements in sleep quality/time, self-care/management, six-minute walk distance (6MWD), and exacerbation outcomes.

Conclusion

The systematic literature review demonstrates the significant potential of software as a medical device (SaMD) and mobile health (mHealth) applications in revolutionizing chronic disease management through remote patient monitoring (RPM) and digital therapeutics (DTx). The evidence synthesized from multiple systematic reviews and clinical studies indicates that these technologies, exemplified by solutions like Healthentia, can effectively support patient monitoring and improve health outcomes while meeting crucial safety and performance requirements. The positive results observed across various chronic conditions underscore the transformative role of digital health interventions in modern healthcare delivery. However, further research is needed to address long-term efficacy, cost-effectiveness, and integration into existing healthcare systems. As the field rapidly evolves, continued evaluation and refinement of these technologies will be essential to fully realize their potential in enhancing patient care and health management strategies.

Interventions and behaviour change techniques for improving physical activity level in working-age people (18-60 years) with type 2 diabetes: A systematic review and network meta-analysis

BACKGROUND

The escalating prevalence of type 2 diabetes within the working-age population (18-60 years) imposes a substantial societal burden. Whilst physical activity is crucial for diabetes management, limited evidence exists to inform optimal strategies for promoting physical activity in this population. We aimed to evaluate and compare the effect of interventions for increasing physical activity in working-age adults with type 2 diabetes.

METHODS

We searched Web of Science, the Cochrane Library, Medline, Embase, PsycINFO, ClinicalTrials.gov, and ICTRP from inception to April 30, 2023. Randomised controlled trials that reported the effect of interventions (education, training or behavioural) to promote physical activity (either self-reported or objective) in people aged 18-60 years were included. Two independent reviewers conducted summary data extraction and quality assessment. Pairwise random-effects, Frequentist network meta-analyses, and subgroup analysis were used to obtain pooled effects.

RESULTS

A total of 52 trials were included in this systematic review. Compared to control group, the physical activity interventions demonstrated statistically significant effects on objectively measured physical activity (SMD 0.77, 95 % CI 0.27-1.27), self-reported physical activity (SMD 0.88, 95 % CI 0.40-1.35), and overall physical activity (SMD 0.82, 95 % CI 0.48-1.16); a statistically and clinically meaningful reduction on glycated haemoglobin A1c (HbA1c) was also identified (MD -0.50 %, 95 % CI -0.66, -0.35). In terms of intervention types, education interventions exerted the largest effect on objectively measured physical activity; however, psychological interventions had the largest effects on overall physical activity compared to other intervention types. Four behaviour change techniques were related to statistically significant reduction in HbA1c: goal setting (outcome), information about health consequences, demonstration of the behaviour, and prompts/cues. Subgroup analysis showed that delivery mode, intervention setting, and facilitator were associated with statistically significant effect on physical activity and HbA1c.

CONCLUSIONS

Psychologically modelled education incorporating behaviour change techniques may be the most beneficial way to promote physical activity and glycaemic control in working-age adults with type 2 diabetes. Delivery mode, intervention setting, and facilitator type should be considered when designing interventions for improving physical activity level in working-age people with type 2 diabetes.

Effectiveness of wearable technology-based physical activity interventions for adults with type 2 diabetes mellitus: A systematic review and meta-regression

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder with the increasing prevalence of a modern sedentary lifestyle. Wearable technology-based physical activity interventions (WT-BPAI) might provide a channel to improve diabetic self-management. The study aimed to (1) evaluate the effectiveness of WT-BPAI on PA levels, glycemic levels, and other outcomes (blood pressure [BP], body mass index [BMI], and serum lipid profile) in adults with T2DM, and (2) investigate the potential covariates affecting aforementioned outcomes. Eight databases were searched thoroughly using three steps from inception until January 16, 2024. The quality of the studies and overall evidence were evaluated. The package meta of the R software program version 4.3.1. was utilized for meta-analyses, subgroup analyses, and meta-regression analyses. A total of 19 randomized controlled trials (RCTs) were found. Meta-analyses revealed that WT-BPAI significantly increased 1583 steps per day and decreased systolic BP (SBP) by 2.46 mmHg. Subgroup and meta-regression analyses found that function, duration of intervention, and age were significant covariates. According to the risk of bias version 2, more than half of the trials raised some concerns about the randomization process, deviations from the intended intervention, and missing outcome data. The certainty of the evidence was very low for all outcomes based on the Grading of Recommendations Assessment, Development and Evaluation (GRADE) criteria. WT-BPAI can be considered a supplementary intervention to increase the steps per day and decrease SBP, especially when used for short periods in young adults with T2DM. However, we need more well-designed research with long-term outcomes.

Emerging Technologies and Open-Source Platforms for Remote Physical Exercise: Innovations and Opportunities for Healthy Population-A Narrative Review

The emergence of tele-exercise as a response to the impact of technology on physical activity has opened up new possibilities for promoting physical health. By integrating innovative technologies and open-source platforms, tele-exercise encourages people to stay active. In our latest analysis, we delved into the scientific literature surrounding the use of tele-exercise technologies in training healthy individuals. After conducting an extensive search on the PubMed database using the keywords "tele-exercise" and "physical activity" (from 2020 to 2023), we identified 44 clinical trials that were applicable to tele-exercise, but less than 10% of them were aimed at healthy individuals, precisely 9.09% (four out of forty-four studies analyzed). Our review highlights the potential of tele-exercise to help maintain physical fitness and psychological well-being, especially when traditional fitness facilities are not an option. We also underscore the importance of interoperability, standardization, and the incorporation of biomechanics, exercise physiology, and neuroscience into the development of tele-exercise platforms. Nevertheless, despite these promising benefits, research has shown that there is still a significant gap in the knowledge concerning the definition and evaluation of training parameters for healthy individuals. As a result, we call for further research to establish evidence-based practices for tele-exercise in the healthy population.

Dropout rate in clinical trials of smartphone apps for diabetes management: A meta-analysis

Applicability of smartphone-based digital health in diabetes management still face challenges due tolow user retention or engagement. Thus, this systematic and meta-analysis aimed to estimate the dropout rate from the clinical trials. Search of literature was performedon 4 September 2023 through various databases (PubMed, Scilit, Scopus, Embase, and Web of Science). Those reporting clinical trials of smartphone apps for diabetic controls (either type 1 or type 2 diabetes mellitus) were screened and selected in accordance with PRISMA guideline. Of 5,429 identified records, as many as 36 studies were found eligible with a total of 3,327 patients in the intervention group. The overall dropout rate was 29.6 % (95 %CI: 25 %-34.3 %) with high heterogeneity (p-Het < 0.001;I2 = 84.84 %). Sample size, intervention duration, patients' age and gender, and cultural adaptation on the app appeared to be non-significant moderators (p > 0.05). In sub-group levels, notably high dropout rates were observed in studies performing cultural adaptation (34.6 %) and conducted in high-income countries (31.9 %). Given the high dropout rate, the engagement level toward diabetic management apps in real-world setting is expected to be low. High heterogeneity in this study, however, requires careful interpretation of the foregoing results. PROSPERO: CRD42023460365 (14 September 2023).

Which behaviour change techniques work best for diabetes self-management mobile apps? Results from a systematic review and meta-analysis of randomised controlled trials

BACKGROUND

Self-management is pivotal in addressing noncommunicable diseases, such as diabetes. The increased availability of digital behaviour change interventions (DBCIs) delivered through mobile health apps offers unprecedented opportunities to enhance self-management and improve health outcomes. However, little is known about the characteristics of DBCIs for diabetes that significantly impact glycaemic control. Therefore, our systematic review with meta-analysis aimed to summarize characteristics and behaviour change components in DBCIs for diabetes self-management and explore potential associations with metabolic outcomes.

METHODS

A systematic search was conducted in PubMed, Embase, the Cochrane Central Register of Controlled Trials, and Scopus to identify randomized controlled trials published until November 2023. The main outcome variable was the change in the mean difference of HbA1c levels between baseline and follow-up across intervention and control groups. Random-effects meta-regression was used to explore variation in glycaemic control as a function of prespecified characteristics of study designs and app interventions.

FINDINGS

A total of 57 studies was included in the analysis, showing a statistically significant percentage point reduction in HbA1c for the intervention group compared to the control arm (-0.36, 95% CI = -0.46 to -0.26, p < 0.001). The inclusion of "self-monitoring of behaviour" as a behaviour change technique (β = -0.22, p = 0.04) and "taking medication" as a target behaviour (β = -0.20, p = 0.05) was associated with improved metabolic outcomes.

INTERPRETATION

Our analyses endorse the use of diabetes self-management apps, highlighting characteristics statistically associated with intervention effectiveness and guiding the design of more effective DBCIs.

FUNDING

This project received funding from the European Union's Horizon 2020 programme.

A Mobile Health Resistance Training Intervention Using Outdoor Gym Equipment: Process Evaluation of the Ecofit Effectiveness Randomized Controlled Trial

BACKGROUND

Few mobile health resistance-based physical activity interventions have targeted community-dwelling adults. "Ecofit" is a multicomponent intervention that promotes resistance and aerobic activities using smartphone technology, outdoor gyms, and social support. This study evaluated process evaluation outcomes of the ecofit randomized controlled trial: (1) the acceptability and usability of the ecofit smartphone app and app user workouts; (2) perceptions of factors influencing outdoor gym use; and (3) the fidelity, reach, recruitment, and dose received of the ecofit program.

METHODS

Process data were collected through program evaluation surveys at 3 months, and app usage data were collected via the intervention platform for up to 3 months. Data were analyzed using descriptive statistics.

RESULTS

The survey was completed by 57% (n = 69) of eligible participants. The majority (93%) believed the app provided them with sufficient information to perform muscle-strengthening activities. Approximately half (51%) agreed that the goal-setting function encouraged them to complete their workouts, and 42% agreed that the self-assessment helped them monitor progress. "Proximity" to outdoor gyms emerged as the most important factor for choosing locations to workout (mean = 5.5, SD = 1.1). Participants logged a median of 5.5 (interquartile range = 19) workouts and 1 (interquartile range = 1) upper- and lower-body muscular fitness self-assessment.

CONCLUSIONS

The ecofit app provided participants with sufficient skills to perform unsupervised resistance training exercises using mobile health. Only half of the participants regarded self-assessments and goal setting as useful, suggesting a need for modifications to how these are implemented. Mobile health remains a promising delivery platform to promote unsupervised resistance training, although more research is needed to improve uptake.

The use of videos for diabetes patient education: A systematic review

Diabetes prevalence is rising worldwide, calling for public health concerns and interventions to improve prevention and management. Self-care is an important component in reducing the incidence of complications from diabetes, but it must be taught. This systematic review aims to synthesise the evidence for education videos for people with diabetes. Electronic databases, including Ovid (Medline, Embase, EmCare), PsychInfo, CINAHL, Web of Science and Scopus, were searched for studies on educational videos for patients with diabetes that met the inclusion criteria. A total of 36 studies met the inclusion criteria. Data extracted were synthesised through narrative synthesis. Studies examined outcomes including biological (i.e., glycated haemoglobin (HbA1C), weight, BMI), non-biological (health literacy, self-efficacy) and subjective feedback (i.e., acceptability, cultural appropriateness). The most common length of video was ≤10 min. Online dissemination was the most common method of video distribution. A statistically significant decrease (ranging from -0.1% to -2.1%) in HbA1C was noted in 7 of 12 studies examining this outcome. Other studies also found evidence of improvement in health literacy, self-efficacy, physical activity, medication adherence and other outcomes. Feedback from participants was generally positive, and emphasis was placed on the need for cultural appropriateness and representation in the educational videos.

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.

Non-Invasive Wearable Devices for Monitoring Vital Signs in Patients with Type 2 Diabetes Mellitus: A Systematic Review

Type 2 diabetes mellitus (T2D) poses a significant global health challenge and demands effective self-management strategies, including continuous blood glucose monitoring (CGM) and lifestyle adaptations. While CGM offers real-time glucose level assessment, the quest for minimizing trauma and enhancing convenience has spurred the need to explore non-invasive alternatives for monitoring vital signs in patients with T2D. Objective: This systematic review is the first that explores the current literature and critically evaluates the use and reporting of non-invasive wearable devices for monitoring vital signs in patients with T2D. Methods: Employing the PRISMA and PICOS guidelines, we conducted a comprehensive search to incorporate evidence from relevant studies, focusing on randomized controlled trials (RCTs), systematic reviews, and meta-analyses published since 2017. Of the 437 publications identified, seven were selected based on predetermined criteria. Results: The seven studies included in this review used various sensing technologies, such as heart rate monitors, accelerometers, and other wearable devices. Primary health outcomes included blood pressure measurements, heart rate, body fat percentage, and cardiorespiratory endurance. Non-invasive wearable devices demonstrated potential for aiding T2D management, albeit with variations in efficacy across studies. Conclusions: Based on the low number of studies with higher evidence levels (i.e., RCTs) that we were able to find and the significant differences in design between these studies, we conclude that further evidence is required to validate the application, efficacy, and real-world impact of these wearable devices. Emphasizing transparency in bias reporting and conducting in-depth research is crucial for fully understanding the implications and benefits of wearable devices in T2D management.

Efficacy of supervised home-based, real time, videoconferencing telerehabilitation in patients with type 2 diabetes: a single-blind randomized controlled trial

BACKGROUND

Exercise-based interventions prevent or delay symptoms and complications of type 2 diabetes (T2D) and are highly recommended for T2D patients; though with very low participation rates. Τelerehabilitation (TR) could act as an alternative to overcome the barriers preventing the promotion of T2D patients' well-being.

AIM

Determine the effects of a six-week TR program on glycemic control, functional capacity, muscle strength, PA, quality of life and body composition in patients with T2D.

DESIGN

A multicenter randomized, single-blind, parallel-group clinical study.

SETTING

Clinical trial.

POPULATION

Patients with T2D.

METHODS

Thirty T2D patients (75% male, 60.1±10.9 years) were randomly allocated to an intervention group (IG) and a control group (CG) with no exercise intervention. IG enrolled in a supervised, individualized exercise program (combination of aerobic and resistance exercises), 3 times/week for 6 weeks at home via a TR platform. Glycated hemoglobin (HbA1c), six-minute walk test (6MWT), muscle strength (Hand Grip Strength Test [HGS], 30-Second Chair Stand test [30CST] physical activity [IPAQ-SF]), quality of life (SF-36) and anthropometric variables were assessed.

RESULTS

Two-way repeated-ANOVA showed a statistically significant interaction between group, time and test differences (6MWT, muscle strength) (V=0.33, F [2.17]=4.14, P=0.03, partial η2=0.22). Paired samples t-test showed a statistically significant improvement in HbA1c (Z=-2.7), 6MWT (Μean ∆=-36.9±27.2 m, t=-4.5), muscle strength (Μean ∆=-1.5±1.4 kg, t=-2.22). Similarly, SF-36 (mental health [Μean ∆=-13.3±21.3%], general health [Μean ∆=-11.4±16.90%]) were statistically improved only in IG.

CONCLUSIONS

The findings of this study indicate that a 6-week supervised home-based TR exercise program induced significant benefits in patients with T2D, thus enabling telehealth implementation in rehabilitation practice as an alternative approach.

CLINICAL REHABILITATION IMPACT

Home-based exercise via the TR platform is a feasible and effective alternative approach that can help patients with T2D eliminate barriers and increase overall rehabilitation utilization.

Variations in the Design and Use of Attention Control Groups in Type 2 Diabetes Randomized Controlled Trials: a Systematic Review

PURPOSE OF REVIEW

In type 2 diabetes (T2D) research, the phrase "attention control group" (ACGs) has been used with varying descriptions. We aimed to systematically review the variations in the design and use of ACGs for T2D studies.

RECENT FINDINGS

Twenty studies utilizing ACGs were included in the final evaluation. Control group activities had the potential to influence the primary outcome of the study in 13 of the 20 articles. Prevention of contamination across groups was not mentioned in 45% of the articles. Eighty-five percent of articles met or somewhat met the criteria for having comparable activities between the ACG and intervention arms. Wide variations in descriptions and the lack of standardization have led to an inaccurate use of the phrase "ACGs" when describing the control arm of trials, indicating a need for future research with focus on the adoption of uniform guidelines for use of ACGs in T2D RCTs.

Effectiveness of game-based exercise interventions on modifiable cardiovascular risk factors of individuals with type two diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

Sedentary lifestyles have been identified as a major risk factor for cardiovascular complications for individuals with type 2 diabetes mellitus (T2DM). Using video-gaming components, game-based exercise interventions can encourage these individuals to engage in regular physical activity (PA), given their favorable interactive interfaces, feedback, and on-demand flow experiences.

AIM

To evaluate the effectiveness of game-based exercise interventions, on modifiable cardiovascular risk factors, quality of life, and PA levels among individuals with T2DM.

METHODS

Published and unpublished studies were retrieved from eight electronic databases and reference lists of the included studies. Articles included in this study were from the inception of the databases to January 2022. Two reviewers performed screening, quality appraisal, and data extraction independently. Meta-analyses were conducted for the primary and secondary outcomes through RevMan. The protocol was registered on PROSPERO (CRD42022298894).

RESULTS

Of the 11 selected studies involving 1045 individuals of both genders with T2DM, 9 were included in the meta-analyses for glycosylated hemoglobin, blood pressure (BP), low-density lipoprotein cholesterol, quality of life, and physical activity levels. The meta-analyses reported very small to large effect sizes favoring game-based exercise interventions. Large effect sizes were reported for systolic BP, diastolic BP, and quality of life measured through SF-12 Mental Component Summary scores.

LINKING EVIDENCE TO ACTION

Game-based exercise interventions may improve modifiable cardiovascular risk factors, quality of life, and PA levels among individuals with T2DM. Supervision, PA levels, or motivation can affect the effectiveness of game-based exercise interventions.

Benefits and Harms of Digital Health Interventions Promoting Physical Activity in People With Chronic Conditions: Systematic Review and Meta-Analysis

BACKGROUND

Digital health interventions for managing chronic conditions have great potential. However, the benefits and harms are still unclear.

OBJECTIVE

This systematic review and meta-analysis aimed to investigate the benefits and harms of digital health interventions in promoting physical activity in people with chronic conditions.

METHODS

We searched the MEDLINE, Embase, CINAHL, and Cochrane Central Register of Controlled Trials databases from inception to October 2022. Eligible randomized controlled trials were included if they used a digital component in physical activity promotion in adults with ≥1 of the following conditions: depression or anxiety, ischemic heart disease or heart failure, chronic obstructive pulmonary disease, knee or hip osteoarthritis, hypertension, or type 2 diabetes. The primary outcomes were objectively measured physical activity and physical function (eg, walk or step tests). We used a random effects model (restricted maximum likelihood) for meta-analyses and meta-regression analyses to assess the impact of study-level covariates. The risk of bias was assessed using the Cochrane Risk of Bias 2 tool, and the certainty of the evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation.

RESULTS

Of 14,078 hits, 130 randomized controlled trials were included. Compared with usual care or minimal intervention, digital health interventions increased objectively measured physical activity (end of intervention: standardized mean difference [SMD] 0.29, 95% CI 0.21-0.37; follow-up: SMD 0.17, 95% CI 0.04-0.31) and physical function (end of intervention: SMD 0.36, 95% CI 0.12-0.59; follow-up: SMD 0.29, 95% CI 0.01-0.57). The secondary outcomes also favored the digital health interventions for subjectively measured physical activity and physical function, depression, anxiety, and health-related quality of life at the end of the intervention but only subjectively measured physical activity at follow-up. The risk of nonserious adverse events, but not serious adverse events, was higher in the digital health interventions at the end of the intervention, but no difference was seen at follow-up.

CONCLUSIONS

Digital health interventions improved physical activity and physical function across various chronic conditions. Effects on depression, anxiety, and health-related quality of life were only observed at the end of the intervention. The risk of nonserious adverse events is present during the intervention, which should be addressed. Future studies should focus on better reporting, comparing the effects of different digital health solutions, and investigating how intervention effects are sustained beyond the end of the intervention.

TRIAL REGISTRATION

PROSPERO CRD42020189028; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=189028.

Effectiveness, reach, uptake, and feasibility of digital health interventions for adults with type 2 diabetes: a systematic review and meta-analysis of randomised controlled trials

BACKGROUND

Digital health interventions have shown promising results for the management of type 2 diabetes, but a comparison of the effectiveness and implementation of the different modes is not currently available. Therefore, this study aimed to compare the effectiveness of SMS, smartphone application, and website-based interventions on improving glycaemia in adults with type 2 diabetes and report on their reach, uptake, and feasibility.

METHODS

In this systematic review and meta-analysis, we searched CINAHL, Cochrane Central, Embase, MEDLINE, and PsycInfo on May 25, 2022, for randomised controlled trials (RCTs) that examined the effectiveness of digital health interventions in reducing glycated haemoglobin A1c (HbA1c) in adults with type 2 diabetes, published in English from Jan 1, 2009. Screening was carried out using Covidence, and data were extracted following Cochrane's guidelines. The primary endpoint assessed was the change in the mean (and 95% CI) plasma concentration of HbA1c at 3 months or more. Cochrane risk of bias 2 was used to assess risk of bias. Data on reach, uptake, and feasibility were summarised narratively and data on HbA1c reduction were synthesised in a meta-analysis. Grading of Recommendations, Assessment, Development, and Evaluation criteria was used to evaluate the level of evidence. The study was registered with PROSPERO, CRD42021247845.

FINDINGS

Of the 3236 records identified, 56 RCTs from 24 regions (n=11 486 participants), were included in the narrative synthesis, and 26 studies (n=4546 participants) in the meta-analysis. 20 studies used SMS as the primary mode of delivery of the digital health intervention, 25 used smartphone applications, and 11 implemented interventions via websites. Smartphone application interventions reported higher reach compared with SMS and website-based interventions, but website-based interventions reported higher uptake compared with SMS and smartphone application interventions. Effective interventions, in general, included people with greater severity of their condition at baseline (ie, higher HbA1c) and administration of a higher dose intensity of the intervention, such as more frequent use of smartphone applications. Overall, digital health intervention group participants had a -0·30 (95% CI -0·42 to -0·19) percentage point greater reduction in HbA1c, compared with control group participants. The difference in HbA1c reduction between groups was statistically significant when interventions were delivered through smartphone applications (-0·42% [-0·63 to -0·20]) and via SMS (-0·37% [-0·57 to -0·17]), but not when delivered via websites (-0·09% [-0·64 to 0·46]). Due to the considerable heterogeneity between included studies, the level of evidence was moderate overall.

INTERPRETATION

Smartphone application and SMS interventions, but not website-based interventions, were associated with better glycaemic control. However, the studies' heterogeneity should be recognised. Considering that both smartphone application and SMS interventions are effective for diabetes management, clinicians should consider factors such as reach, uptake, patient preference, and context of the intervention when deciding on the mode of delivery of the intervention. Nine in ten people worldwide own a feature phone and can receive SMS and four in five people have access to a smartphone, with numerous smartphone applications being available for diabetes management. Clinicians should familiarise themselves with this modality of programme delivery and encourage people with type 2 diabetes to use evidence-based applications for improving their self-management of diabetes. Future research needs to describe in detail the mediators and moderators of the effectiveness and implementation of SMS and smartphone application interventions, such as the optimal dose, frequency, timing, user interface, and communication mode to both further improve their effectiveness and to increase their reach, uptake, and feasibility.

FUNDING

EU's Horizon 2020 Research and Innovation Programme.

Effectiveness of Wearable Activity Monitors on Metabolic Outcomes in Patients With Type 2 Diabetes: A Systematic Review and Meta-Analysis

OBJECTIVE

Wearable activity monitors are promising tools for improving metabolic outcomes in patients with type 2 diabetes mellitus (T2DM); however, no uniform conclusive evidence is available. This study aimed to evaluate the effects of the intervention using wearable activity monitors on blood glucose, blood pressure, blood lipid, weight, waist circumference, and body mass index (BMI) in individuals with T2DM.

METHODS

Two independent reviewers searched 4 online databases (PubMed, Cochrane Library, Web of Science, and Embase) to identify relevant studies published from January 2000 to October 2022. The primary outcome indicator was hemoglobin A1c (HbA1c), and the secondary outcome indicators included physical activity (steps per day), fasting blood glucose, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, systolic blood pressure, diastolic blood pressure, BMI, waist circumference, and weight.

RESULTS

A total of 25 studies were included. The HbA1c level (standardized mean difference [SMD], -0.14; 95% confidence interval [CI], -0.27 to -0.02; P = .02; I² = 48%), BMI (SMD, -0.16; 95% CI, -0.26 to -0.05; P = .002; I² = 0), waist circumference (SMD, -0.21; 95% CI, -0.34 to -0.09; P < .001; I² = 0), and steps/day (SMD, 0.55; 95% CI, 0.36-0.94; P < .001; I² = 77%) significantly improved.

CONCLUSION

Wearable activity monitor-based interventions could facilitate the improvement of the HbA1c level, BMI, and waist circumference and increase in physical activity in individuals with T2DM. Wearable technology appeared to be an effective tool for the self-management of T2DM; however, there is insufficient evidence about its long-term effect.

Analyzing the Effectiveness of mHealth to Manage Diabetes Mellitus Among Adults Over 50: A Systematic Literature Review

Purpose

A total of 537 million suffered from diabetes mellitus in 2021, and the aging of the population will not abate this number in the future. Diabetes predisposes people to ailments and doubles the risk of COVID-19 mortality. mHealth has shown promise to help manage diabetes. The aim of this review is to objectively analyze research from the last 2.5 years to assess effectiveness where mHealth has been used as an intervention to help manage diabetes in older patients. We also analyzed patient satisfaction, quality, and barriers to adoption of mHealth to manage diabetes.

Patients and Methods

No human subjects were involved in this review. We queried four research databases for mHealth to manage diabetes in older adults. We conducted the review based on the Kruse Protocol for writing as systematic review and we reported our findings in accordance with PRISMA (2020).

Results

Thirty research articles from 11 countries were analyzed. Five interventions of mHealth were identified. Of these mHealth Short Message service (SMS) helped change behavior and encouraged self-care. mHealth SMS coupled with telemedicine for coaching showed positive effects on weight loss, BMI, diet, exercise, HbA1C, disease awareness, blood pressure, cholesterol, medication adherence, and foot care.

Conclusion

mHealth SMS coupled with telemedicine for coaching shows the greatest promise for educating, changing behavior, and realizing positive outcomes across a broad spectrum of health factors. The largest drawback is the cost of acquiring equipment and training users.

Feasibility of a smartphone app for prescribed exercise tutoring in patients with stable coronary heart disease

Background

Digital health technologies have potential to address the challenges associated with traditional cardiac rehabilitation (CR). However, it is not complete enough for prescribed exercise guidance and remote monitoring.

Objective

We aimed to evaluate the feasibility of a smartphone app for prescribed exercise tutoring by exercise videos combined with wearable devices to monitor heart rate in patients with stable coronary heart disease (CHD).

Methods

The study is a quasi-experimental design study with a single group. A total of 31 patients were included with an average age of 56.2 years (SD 13.4). They participated in a 12-week remote digital CR program. We employed a wearable heart rate monitoring device connected with an app to monitor the patients' exercise intensity. The app can display the videos corresponding to an exercise prescription to guide the exercise. Cardiorespiratory endurance, blood pressure, blood glucose, cholesterol, blood uric acid, left ventricular ejection fraction and quality of life (QoL) were assessed at the beginning and end of the intervention. Compliance and safety events were recorded as well.

Results

Completion rate reached 90.3%. Average daily effective exercise time was 39.4 min (SD 17.8), and 92.9% of the patients could exercise in the prescribed intensity for at least 20 min per day. Average effective exercise days per week were 4.6 days (SD 2.2), and 67.9% of the patients could exercise in the prescribed intensity for at least 3 days per week. Patients' peak VO2 (P = 0.041) and peak metabolic equivalents (P = 0.018) were significantly increased, low-density lipoprotein (P = 0.036) and diastolic blood pressure at rest (P = 0.044) were significantly decreased, and depression (GAD-7, P = 0.014) and anxiety (PHQ-9, P = 0.013) were significantly improved.

Conclusions

It is feasible, safe, and helpful for stable CHD patients to use the app for prescribed exercise tutoring with videos combined with wearable devices to monitor heart rate.

Trial Registration

ChiCTR1800019144.

Feasibility of a Home-Based Exercise Program for Managing Posttransplant Metabolic Syndrome in Lung and Liver Transplant Recipients: Protocol for a Pilot Randomized Controlled Trial

Background

Posttransplant metabolic syndrome (PTMS) is a common contributor to morbidity and mortality among solid organ transplant recipients in the late posttransplant period (≥1 year). Patients diagnosed with PTMS are at a higher risk of cardiovascular disease and frequently experience decreased physical function and health-related quality of life (HRQL). Studies in the early posttransplant period (<1 year) have shown the benefits of facility-based exercise training on physical function and HRQL, but have not evaluated the effects on metabolic risk factors. It remains unclear whether home-based exercise programs are feasible and can be delivered at a sufficient exercise dose to have effects on PTMS. This protocol outlines the methodology of a randomized controlled trial of a partly supervised home-based exercise program in lung transplant (LTx) and orthotopic liver transplant (OLT) recipients.

Objective

This study aims to evaluate the feasibility (ie, recruitment rate, program adherence, attrition, safety, and participant satisfaction) of a 12-week individualized, home-based aerobic and resistance training program in LTx and OLT recipients initiated 12 to 18 months after transplantation, and to assess estimates of intervention efficacy on metabolic risk factors, exercise self-efficacy, and HRQL.

Methods

In total, 20 LTx and 20 OLT recipients with ≥2 cardiometabolic risk factors at 12 to 18 months after transplantation will be randomized to an intervention (home-based exercise training) or control group. The intervention group will receive an individualized exercise prescription comprising aerobic and resistance training, 3 to 5 times a week for 12 weeks. Participants will meet on a weekly basis (via videoconference) with a qualified exercise professional who will supervise exercise progression, provide support, and support exercise self-efficacy. Participants in both study groups will receive a counseling session on healthy eating with a dietitian at the beginning of the intervention. For the primary aim, feasibility will be assessed through recruitment rate, program adherence, satisfaction, attrition, and safety parameters. Secondary outcomes will be measured at baseline and 12 weeks, including assessments of metabolic risk factors (ie, insulin resistance, abdominal obesity, blood pressure, and cholesterol), HRQL, and exercise self-efficacy. Descriptive statistics will be used to summarize program feasibility and effect estimates (means and 95% CIs) for sample size calculations in future trials.

Results

Enrollment started in July 2021. It is estimated that the study period will be 18 months, with data collection to be completed by December 2022.

Conclusions

A partly supervised home-based, individually tailored exercise program that promotes aerobic and resistance training and exercise self-efficacy may be an important intervention for improving the metabolic profile of LTx and OLT recipients with cardiometabolic risk factors. Thus, characterizing the feasibility and effect estimates of home-based exercise constitutes the first step in developing future clinical trials designed to reduce the high morbidity associated with PTMS.

Trial Registration

ClinicalTrials.gov NCT04965142; https://clinicaltrials.gov/ct2/show/NCT04965142

International Registered Report Identifier (IRRID)

DERR1-10.2196/35700

Clinical and patient-centered implementation outcomes of mHealth interventions for type 2 diabetes in low-and-middle income countries: a systematic review

BACKGROUND

The prevalence of Type 2 Diabetes is rising in Low- and Middle-Income Countries (LMICs), affecting all age categories and resulting in huge socioeconomic implications. Mobile health (mHealth) is a potential high-impact approach to improve clinical and patient-centered outcomes despite the barriers of cost, language, literacy, and internet connectivity. Therefore, it is valuable to examine the clinical and implementation outcomes of mHealth interventions for Type 2 Diabetes in LMICs.

METHODS

The Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines were applied in framing and reporting the review criteria. A systematic search of Cochrane Library, Web of Science, PubMed, Scopus, and Ovid databases was performed through a combination of search terms. Randomized Controlled Trials (RCTs) and cohort studies published in English between January 2010 and August 2021 were included. Risk of bias for missing results in the included studies was assessed using the Cochrane risk-of-bias tool for randomized trials (RoB 2). Quantitative and qualitative methods were used to synthesize the results.

RESULTS

The search identified a total of 1161 articles. Thirty studies from 14 LMICs met the eligibility criteria. On clinical outcomes, 12 and 9 studies reported on glycated hemoglobin (HbA1c )and fasting blood glucose (FBG) respectively. Text messages was the most commonly applied mHealth approach, used in 19 out of the 30 studies. Ten out of the 12 studies (83.3%) that reported on HbA1c had a percentage difference of <0.3% between the mHealth intervention and the comparison group. Additionally, studies with longer intervention periods had higher effect size and percentage difference on HbA1c (1.52 to 2.92%). Patient-centred implementation outcomes were reported variedly, where feasibility was reported in all studies. Acceptability was reported in nine studies, appropriateness in six studies and cost in four studies. mHealth evidence reporting and assessment (mERA) guidelines were not applied in all the studies in this review.   CONCLUSION: mHealth interventions in LMICs are associated with clinically significant effectiveness on HbA1 but have low effectiveness on FBG. The application of mERA guidelines may standardize reporting of patient-centered implementation outcomes in LMICs.

TRIAL REGISTRATION

PROSPERO: Registration ID 154209.

A Correlational Study on Cardiopulmonary Endurance in Male Patients with New-Onset Type 2 Diabetes

BACKGROUND

Cardiopulmonary exercise tests (CPETs) are widely used non-invasive and reliable functional evaluation methods. This study investigated the correlation between cardiopulmonary endurance indices and plasma glucose levels and abdominal visceral fat in males with new-onset type 2 diabetes.

METHODS

A total of 136 male individuals, who had been treated in the First Hospital of Qinhuangdao City, were selected to form a new-onset type 2 diabetes group (66 cases) and a control group (70 cases); individuals were divided into three groups (Q1, Q2, and Q3) from low to high according to their anaerobic threshold (AT) oxygen uptake (VO₂), AT VO₂/kg (VO₂ per kg of body weight), peak VO₂, peak VO₂/kg, AT heart rate (HR), peak HR, and HR recovery after 1 minute. A cardiopulmonary exercise test was used to determine the VO₂ of each group of subjects for VO₂ max and AT VO₂/kg, HR, and HR recovery after 1 minute. The differences in fat areas and plasma glucose levels were compared under different cardiorespiratory endurance indicators.

RESULTS

Compared with the control group, the abdominal visceral fat (AVF) area, fasting plasma glucose (FPG), and postprandial plasma glucose (PPG) levels increased in the new-onset type 2 diabetes group. Concurrently, AT VO₂, AT VO₂/kg, peak VO₂, peak VO₂/kg, AT HR, peak HR, and 1-minute HR recovery all decreased, and the difference between the groups was statistically significant (P<0.05). The higher the AT VO₂ and peak VO₂ values, the lower the PPG level (P<0.05) and the smaller the area of abdominal visceral fat (P<0.05). The AT VO₂/kg and peak VO₂/kg values were negatively correlated with the abdominal visceral fat area, while other indicators had no obvious relationship with either plasma glucose levels or the area of fat.

CONCLUSION

The levels of blood glucose and visceral fat are correlated with cardiopulmonary function. With the increase in blood glucose levels and visceral fat, the indices of cardiopulmonary function gradually decrease. The correlation between different cardiopulmonary function indices and blood glucose levels and visceral fat was different.