Effect of a Mobile Phone-Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial

Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis

Nowadays, the mHealth market is flooded with smartphone applications (apps) lacking validation for blood pressure (BP)-lowering effects and BP measurement accuracy. This systematic review for Guidelines for BP control using digital technologies of the Japanese Society of Hypertension aimed to assess the validation studies of apps. We searched eligible studies in Ovid MEDLINE, Cochrane Library, and Ichushi, focusing on randomized controlled trials and observational studies comparing the effects of smartphone app-based interventions with non-digital healthcare. Random effects models of meta-analysis were employed to estimate the pooled effects of mean BP change and 95% confidence intervals (CIs). Out of 7385 studies screened, 76 studies with 46,459 participants were included. The interventions were significantly associated with a reduction in office systolic and diastolic BP at six months (systolic BP, -2.76 mmHg, 95% CI: -3.94 to -1.58; diastolic BP, -1.23 mmHg, -1.80 to -0.67). Normotensives saw a significant reduction in office systolic BP at three-month (-4.44 mmHg, -6.96 to -1.92), diminishing afterward (six-month, 0.86 mmHg, -2.81 to 4.52; twelve-month, 0.86 mmHg, -2.81 to 4.52). Conversely, hypertensive participants experienced a significant reduction in office systolic BP at both three- and six-month (three-month, -7.71 mmHg, -10.63 to -4.79; six-month, -1.88 mmHg, -3.41 to -0.35), albeit with limited evidence thereafter. A larger BP reduction was observed among participants using apps with wireless transmission of BP measurements (P = 0.047 for interaction), while there was no clear difference in BP reduction according to the presence of other functions. Smartphone app-based interventions may hold the potential to improve BP levels.

User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review

BACKGROUND

There are numerous mobile health (mHealth) interventions for treatment adherence and self-management; yet, little is known about user engagement or interaction with these technologies.

OBJECTIVE

This systematic review aimed to answer the following questions: (1) How is user engagement defined and measured in studies of mHealth interventions to promote adherence to prescribed medical or health regimens or self-management among people living with a health condition? (2) To what degree are patients engaging with these mHealth interventions? (3) What is the association between user engagement with mHealth interventions and adherence or self-management outcomes? (4) How often is user engagement a research end point?

METHODS

Scientific database (Ovid MEDLINE, Embase, Web of Science, PsycINFO, and CINAHL) search results (2016-2021) were screened for inclusion and exclusion criteria. Data were extracted in a standardized electronic form. No risk-of-bias assessment was conducted because this review aimed to characterize user engagement measurement rather than certainty in primary study results. The results were synthesized descriptively and thematically.

RESULTS

A total of 292 studies were included for data extraction. The median number of participants per study was 77 (IQR 34-164). Most of the mHealth interventions were evaluated in nonrandomized studies (157/292, 53.8%), involved people with diabetes (51/292, 17.5%), targeted medication adherence (98/292, 33.6%), and comprised apps (220/292, 75.3%). The principal findings were as follows: (1) >60 unique terms were used to define user engagement; "use" (102/292, 34.9%) and "engagement" (94/292, 32.2%) were the most common; (2) a total of 11 distinct user engagement measurement approaches were identified; the use of objective user log-in data from an app or web portal (160/292, 54.8%) was the most common; (3) although engagement was inconsistently evaluated, most of the studies (99/195, 50.8%) reported >1 level of engagement due to the use of multiple measurement methods or analyses, decreased engagement across time (76/99, 77%), and results and conclusions suggesting that higher engagement was associated with positive adherence or self-management (60/103, 58.3%); and (4) user engagement was a research end point in only 19.2% (56/292) of the studies.

CONCLUSIONS

The results revealed major limitations in the literature reviewed, including significant variability in how user engagement is defined, a tendency to rely on user log-in data over other measurements, and critical gaps in how user engagement is evaluated (infrequently evaluated over time or in relation to adherence or self-management outcomes and rarely considered a research end point). Recommendations are outlined in response to our findings with the goal of improving research rigor in this area.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42022289693; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022289693.

Consideration of inequalities in effectiveness trials of mHealth applications - a systematic assessment of studies from an umbrella review

BACKGROUND

The growing use of mobile health applications (apps) for managing diabetes and hypertension entails an increased need to understand their effectiveness among different population groups. It is unclear if efficacy and effectiveness trials currently provide evidence of differential effectiveness, and if they do, a summary of such evidence is missing. Our study identified to what extent sociocultural and socioeconomic inequalities were considered in effectiveness trials of mobile health apps in diabetic and hypertensive patients and if these inequalities moderated app effectiveness.

METHODS

We built on our recent umbrella review that synthesized systematic reviews (SRs) of randomized controlled trials (RCTs) on the effectiveness of health apps. Using standard SR methodologies, we identified and assessed all primary RCTs from these SRs that focused on diabetes and/or hypertension and reported on health-related outcomes and inequality-related characteristics across intervention arms. We used the PROGRESS-Plus framework to define inequality-related characteristics that affect health opportunities and outcomes. We used harvest plots to summarize the subgroups (stratified analyses or interaction terms) on moderating effects of PROGRESS-Plus. We assessed study quality using the Risk of Bias 2 tool.

RESULTS

We included 72 published articles of 65 unique RCTs. Gender, age, and education were the most frequently described PROGRESS-Plus characteristics at baseline in more than half of the studies. Ethnicity and occupation followed in 21 and 15 RCTs, respectively. Seven trials investigated the moderating effect of age, gender or ethnicity on app effectiveness through subgroup analyses. Results were equivocal and covered a heterogenous set of outcomes. Results showed some concerns for a high risk of bias, mostly because participants could not be blinded to their intervention allocation.

CONCLUSIONS

Besides frequently available gender, age, and education descriptives, other relevant sociocultural or socioeconomic characteristics were neither sufficiently reported nor analyzed. We encourage researchers to investigate how these characteristics moderate the effectiveness of health apps to better understand how effect heterogeneity for apps across different sociocultural or socioeconomic groups affects inequalities, to support more equitable management of non-communicable diseases in increasingly digitalized systems.

REGISTRATION

https://osf.io/89dhy/ .

The effectiveness of telemedicine in the management of type 2 diabetes: A systematic review

Background

Type 2 diabetes, a lifestyle-related disease demanding daily self-management, is a significant health concern. In this context, the use of telemedicine as a management tool is a relatively new and promising approach. This study aims to contribute to the growing body of knowledge by identifying the effectiveness of telemedicine in managing type 2 diabetes through a systematic review approach.

Methods

Four databases were searched including PubMed, Virtual Health Library, Global Health Library, and Google Scholar on 27 July 2022. Additionally, a manual search was performed to identify any relevant articles that may have been missed. The quality of the included articles was rigorously assessed using the Study Quality Assessment Tools of the National Institute of Health.

Results

We analyzed data from 134 articles. All 134 studies were published between 2002 and 2022, including 103 controlled intervention trials, 13 cohort studies, 7 before-after (pre-post) studies with no control group, 1 initial trial, 1 case study, 1 pilot study, and 8 two-arm studies that did not report the study design. Accordingly, most studies show positive changes in glycemic index in every group using telemedicine. Overall, although the BMI and weight indices in the studies improved at the end of the course, the improvement values were considered insignificant.

Conclusion

Telemedicine may be a valuable solution for blood sugar management in patients with type 2 diabetes. However, the effectiveness of telemedicine in improving BMI and quality of life is unclear.

Association Between the Improvement of Knowledge, Attitude and Practice of Hypertension Prevention and Blood Pressure Control-A Cluster Randomized Controlled Study

BACKGROUND

Hypertension-related knowledge, attitude and practice (KAP) of hypertensive patients can affect the awareness, treatment and control of hypertension. However, little attention has been paid to the association between the change of hypertension preventive KAP and blood pressure (BP) control in occupational population using longitudinal data. We assess the effectiveness of a workplace-based multicomponent hypertension intervention program on improving the level of KAP of hypertension prevention, and the association between improvement in KAP and BP control during intervention.

METHODS

From January 2013 to December 2014, workplaces across 20 urban regions in China were randomized to either the intervention group (n = 40) or control group (n = 20) using a cluster randomized control method. All employees in each workplace were asked to complete a cross-sectional survey to screen for hypertension patients. Hypertension patients in the intervention group were given a 2-year workplace-based multicomponent hypertension intervention for BP control. The level of hypertension prevention KAP and BP were assessed before and after intervention in the two groups.

RESULTS

Overall, 3331 participants (2658 in the intervention group and 673 in the control group) were included (mean [standard deviation] age, 46.2 [7.7] years; 2723 men [81.7%]). After 2-year intervention, the KAP qualified rate was 63.2% in the intervention groups and 50.1% in the control groups (odds ratio = 1.65, 95% CI, 1.36∼2.00, P < .001). Compared with the control group decreased in the qualified rate of each item of hypertension preventive KAP questionnaire, all the items in the intervention group increased to different degrees. The increase of KAP score was associated with the decrease of BP level after intervention. For 1 point increase in KAP score, systolic blood pressure (SBP) decreased by .28 mmHg and diastolic blood pressure (DBP) decreased by .14 mmHg [SBP: β = -.28, 95%CI: -.48∼-.09, P = .004; DBP: β = -.14, 95%CI: -.26∼-.02, P = .024]. SBP and DBP was significantly in manual labor workers (SBP: β = -.34, 95%CI: -.59∼-.09, P = .008; DBP: β = -.23, 95%CI: -.38∼-.08, P = .003), workers from private enterprise, state-owned enterprise (SOE) (SBP: β = -.40, 95%CI: -.64∼-.16, P = .001; DBP: β = -.21, 95%CI: -.36∼-.06, P = .005) and a workplace with an affiliated hospital (SBP: β = -.31, 95%CI: -.52∼-.11, P = .003; DBP: β = -.16, 95%CI: -.28∼-.03, P = .016). The improvement of knowledge (SBP: β = -.29, 95%CI: -.56∼-.02, P = .038; DBP: β = -.12, 95%CI: -.29∼.05, P = .160), as well as attitude (SBP: β = -.71, 95%CI: -1.25∼-.18, P = .009; DBP: β = .18, 95%CI: -.23∼.59, P = .385) and behavior (SBP: β = -.73, 95%CI: -1.22∼-.23, P = .004; DBP: β = -.65, 95%CI: -.97∼-.33, P < .001) was gradually strengthened in relation to BP control.

CONCLUSION

This study found that workplace-based multicomponent hypertension intervention can effectively improve the level of hypertension preventive KAP among employees, and the improvement of KAP levels were significantly associated with BP control.

TRIAL REGISTRATION

Chinese Clinical Trial Registry No. ChiCTR-ECS-14004641.

Managing cardiovascular risk factors with telemedicine in primary care: A systematic review and meta-analysis of patients with arterial hypertension and type 2 diabetes

OBJECTIVES

To review the effect of telemedicine interventions on cardiovascular risk factors control in people with arterial hypertension (AH), type 2 diabetes (T2D), or both in primary care.

METHODS

We conducted a systematic review in February 2024 using PubMed/MEDLINE, Cochrane Library, and EMBASE databases. We included randomised controlled trials from 2010 onwards, lasting ≥3 months, comparing telemedicine to standard care for managing cardiovascular risk factors in adults with AH, T2D, or both.

RESULTS

Among 1803 records, 54 were included. Telemonitoring with teleconsultations showed the best outcomes. For AH, systolic blood pressure decreased by -5.63 mmHg (95% CI -9.13 to -2.13) at 6 months and -5.59 mmHg (95% CI -10.03 to -1.14) at 12 months compared to standard care. For T2D, HbA1c decreased by -0.45% (95% CI -0.90 to 0.00) at 6 months and -0.18% (95% CI -0.41 to 0.05) at 12 months compared to standard care. Blood glucose self-monitoring was as effective as telemonitoring for T2D at 6 months. The effect on diastolic blood pressure, low-density lipoprotein, triglycerides, and body mass index was non-significant.

DISCUSSION

Telemedicine offers short-term benefits but lacks long-term effectiveness. Optimal outcomes require a combined telemedicine approach, health education co-intervention, ≥12-month follow-up, and careful patient selection.

Identification of challenges and leveraging mHealth technology, with need-based solutions to empower self-management in type 2 diabetes: a qualitative study

INTRODUCTION

Effective diabetes management relies mainly on an individual's ability to perform self-care tasks. However, this process is influenced by a complex interplay of factors. This study explores the multifaceted influences on Diabetes Self-Management (DSM), examining both factors influencing and affecting DSM. Understanding these influences is crucial for developing targeted Digital Health Interventions that empower individuals with diabetes to achieve successful self-management.

OBJECTIVES

To identify problems faced by Type 2 Diabetes Mellitus (T2DM) individuals in self-managing diabetes and leveraging mHealth technology, with need-based solutions to Empower Self-Management in T2DM.

METHODOLOGY

In-depth semi-structured interviews were conducted among ten patients with T2DM visiting the outpatient department of a tertiary care hospital in coastal Karnataka. Additionally, six healthcare professionals (HCPs) working closely with T2DM patients were interviewed to understand their perspectives on using mHealth to manage T2DM effectively. The themes for the solutions described were analyzed using ATLAS-TI software.

RESULTS

Our research examined certain factors that might have influenced effective diabetes self-management and investigated patient perspectives on using digital health solutions in diabetes self-management. This study found that technology skills, duration of diabetes, knowledge, and personal beliefs were all significant factors affecting self-management in participants with T2DM. Additionally, socioeconomic factors were also seen to influence effective diabetes self-management. The Google search engine was used by 50% of the participants interviewed to learn about T2DM. Diet management through Google searches was used by a minority (30%) of the patients. None of the participants had previously used any mobile health applications (mHealth apps) to manage T2DM. 20% of the participants expressed limited knowledge about using smartphones or wearables to track health parameters. The study also identified potential non-technological barriers to mHealth adoption. To address these concerns, researchers used an empathy map to develop solutions that promote mHealth use.

CONCLUSION

Several challenges and need-based mHealth solutions were identified to empower diabetes self-management education among T2DM patients. Implementing need-based mHealth solutions such as data tracking, personalized feedback, and access to educational resources can lead to better disease control and a higher quality of life for those with T2DM. Further research and development in mHealth interventions, and collaborative efforts among healthcare providers, patients, and technology developers, hold a promising future for the healthcare sector in providing efficient, effective, and accessible care.

Digital Interventions for Self-Management of Type 2 Diabetes Mellitus: Systematic Literature Review and Meta-Analysis

BACKGROUND

The proliferation of digital technology has the potential to transform diabetes management. One of the critical aspects of modern diabetes management remains the achievement of glycemic targets to avoid acute and long-term complications.

OBJECTIVE

This study aims to describe the landscape of evidence pertaining to the relative effectiveness or efficacy and safety of various digital interventions for the self-management of type 2 diabetes mellitus (T2DM), with a primary focus on reducing glycated hemoglobin A1c (HbA1c) levels.

METHODS

A systematic literature review (SLR) was conducted by searching Embase, MEDLINE, and CENTRAL on April 5, 2022. Study selection, data extraction, and quality assessment were performed by 2 independent reviewers. Eligibility criteria for the SLR included randomized controlled trials (RCTs) and comparative observational studies evaluating interventions containing both human (eg, coaching) and digital components (eg, glucose meter) in adult patients with T2DM. The primary meta-analysis was restricted to studies that reported laboratory-measured HbA1c. In secondary analyses, meta-regression was performed with the intensity of coaching in the digital intervention as a categorical covariate.

RESULTS

In total, 28 studies were included in this analysis. Most studies (23/28, 82%) used the reduction of HbA1c levels as the primary end point, either directly or as a part of a multicomponent outcome. In total, 21 studies reported statistically significant results with this primary end point. When stratified into 3 intervention categories by the intensity of the intervention supporting the digital health technology (analyzing all 28 studies), the success rate appeared to be proportional to the coaching intensity (ie, higher-intensity studies reported higher success rates). When the analysis was restricted to RCTs using the comparative improvement of HbA1c levels, the effectiveness of the interventions was less clear. Only half (12/23, 52%) of the included RCTs reported statistically significant results. The meta-analyses were broadly aligned with the results of the SLR. The primary analysis estimated a greater reduction in HbA1c associated with digital interventions compared with usual care (-0.31%, 95% CI -0.45% to -0.16%; P<.001). Meta-regression estimated reductions of -0.45% (95% CI -0.81% to -0.09%; P=.02), -0.29% (95% CI -0.48% to -0.11%; P=.003), and -0.28% (95% CI -0.65% to 0.09%; P=.20) associated with high-, medium-, and low-intensity interventions, respectively.

CONCLUSIONS

These findings suggest that reducing HbA1c levels in individuals with T2DM with the help of digital interventions is feasible, effective, and acceptable. One common feature of effective digital health interventions was the availability of timely and responsive personalized coaching by a dedicated health care professional.

Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis

This systematic review and meta-analysis included randomized controlled trials or observational studies that compare digital health interventions (DHIs) for telemedicine/telehealth versus usual care for managing blood pressure (BP) in adults. We searched PubMed, Cochrane CENTRAL, and IchuShi-Web, and used a random-effects meta-analysis of the weighted mean difference (MD) between the comparison groups to pool data from the included studies. The outcome included the pooled MD of office BP from baseline to each follow-up period. This meta-analysis considered 117 studies with 68677 participants as eligible. The 3-month intervention period reduced office systolic BP (SBP) compared with usual care in 38 studies (MD: -3.21 mmHg [95% confidence interval: -4.51 to -1.90]), with evidence of heterogeneity. Office SBP across intervention periods demonstrated comparable effects (3-, 6- [54 studies], 12- [43 studies], and >12-month periods [9 studies]). The benefits for office diastolic BP were similar to those for office SBP. Additionally, the interventions significantly reduced the office SBP compared with the control, regardless of the mode of intervention delivery (smartphone apps [38 studies], text messages [35 studies], and websites [34 studies]) or type of facility (medical [74 studies] vs. non-medical [33 studies]). The interventions were more effective in 41 hypertension cohorts compared with 66 non-hypertension cohorts (-4.81 mmHg [-6.33, -3.29] vs. -2.17 mmHg [-3.15, -1.19], P = 0.006 for heterogeneity). In conclusion, DHIs for telemedicine/telehealth improved BP management compared with usual care. The effectiveness with heterogeneity should be considered, as prudent for implementing evidence-based medicine. This meta-analysis considered 117 studies with 68677 participants eligible. The DHIs for telemedicine/telehealth reduced office BP compared with usual care, regardless of intervention duration, intervention delivery mode, facility type, and cohort type. Additionally, the DHIs reduced the risk of uncontrolled BP compared with usual care, regardless of intervention duration, intervention delivery mode, and facility type. BP blood pressure, DHI digital health intervention, MD mean difference, RR risk ratio, SBP systolic blood pressure.

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).

Wearable monitoring device based on an internet management platform improves metabolic parameters in type 2 diabetes patients: a prospective pilot study

OBJECTIVES

This pilot study aimed to prospectively investigate the effects of a wearable monitoring device, based on an Internet management platform, on the comprehensive management of type 2 diabetes mellitus (T2DM) patients.

METHODS

A total of 120 hospitalized patients with T2DM were enrolled and randomly divided into the control group and the intervention group. Patients in the control group only received conventional diabetes treatments, while patients in the intervention group were provided with a wearable monitoring device in addition to conventional diabetes treatments. Moreover, the wearable device could connect to an Internet platform for diabetes management and upload self-monitoring data. All patients were followed for 3 months. The changes in parameters representing glucose metabolism, blood lipids, renal function, and patient satisfaction were compared between the two groups. All results were analyzed on an intention-to-treat basis.

RESULTS

One hundred twenty subjects met all criteria and agreed to participate in this study. During the follow-up period, 5 and 4 subjects were lost to follow-up in the intervention and control groups, respectively. Compared with the control group, the blood glucose of the intervention group decreased significantly after 3 months (p < 0.05). Subgroup analysis found that females, those younger than 60 years, with baseline glycated hemoglobin A1c (HbA1c) levels of 8% or greater, and patients with good adherence showed significant improvements in HbA1c (p < 0.05). However, there was no significant difference in blood lipid and renal function. The intervention group showed a better adherence rate to blood glucose, comprehensive adherence rate, and diabetes treatment satisfaction (p < 0.05). One subject in the intervention group and two subjects in the control group reported mild hypoglycemia. No other adverse events such as infections and skin allergies occurred in the two groups.

CONCLUSION

The intervention of a wearable monitoring device based on an Internet management platform significantly improved blood glucose control in T2DM patients, as well as the overall adherence rate and patient satisfaction with treatment.

CLINICAL TRIAL REGISTRATION

NCT04973644.

Automated Personalized Self-care Program for Patients With Type 2 Diabetes Mellitus: A Pilot Trial

PURPOSE

Providing continuous self-care support to the growing diabetes population is challenging. Strategies are needed to enhance engagement in self-care, utilizing innovative technologies for personalized feedback. This study aimed to assess the feasibility of the Automated Personalized Self-Care program among type 2 diabetes patients and evaluate its preliminary effectiveness.

METHODS

A parallel randomized pilot trial with qualitative interviews occurred from May 3, 2022, to September 27, 2022. Participants aged 40-69 years with type 2 diabetes and HbA1c ≥ 7.0% were recruited. The three-month program involved automated personalized goal setting, education, monitoring, and feedback. Feasibility was measured by participants' engagement and intervention usability. Preliminary effectiveness was examined through self-care self-efficacy, self-care behaviors, and health outcomes. Qualitative interviews were conducted with the intervention group.

RESULTS

A total of 404 patients were screened. Out of the 61 eligible patients, 32 were enrolled, resulting in a recruitment rate of 52.5%. Retention rates at three months were 84.2% and 84.6% in the intervention and control groups, respectively. Among the intervention group, 81.3% satisfied adherence criteria. Mobile application's usability scored 66.25, and participants' satisfaction was 8.06. Intention-to-treat analysis showed improvements in self-measured blood glucose testing, grain intake, and HbA1c in the intervention group. Qualitative content analysis identified nine themes.

CONCLUSION

Feasibility of the program was verified. A larger randomized controlled trial is needed to determine its effectiveness in self-care self-efficacy, self-care behaviors, and health outcomes among type 2 diabetes patients. This study offers insights for optimizing future trials assessing clinical effectiveness.

TRIAL REGISTRATION

Clinical Research Information Service, KCT0008202 (registration date: 17 February 2023).

[Diabetes control and visits to the family doctor during the COVID-19 pandemic: a multicenter study in primary care]

OBJECTIVES

To determine whether in patients with type 2 diabetes (DM2) the changes in their relationship with family doctors during the COVID-19 pandemic, in-person (iPC) and telematic (TC) consultations, were associated with control of their disease.

DESIGN

Multicentric study of retrospective follow-up.

SETTING

Seven health centers in Tenerife, Spain.

PARTICIPANTS

3543 patients with DM2.

MAIN MEASUREMENTS

Sex, age, iPC, TC and DM2 control using glycosylated hemoglobin (A1c) during the period 2019-2021. Logistic regression models were fitted with DM2 control as an effect, and with the other measurements as independent variables.

RESULTS

50% were women. 38% were less than 65 years old. A1c was measured in 84% of patients in 2019, 68% in 2020, and 77% in 2021. 58.4% had good control in 2019, 46.1% in 2020, and 50.3% in 2021. Median iPC were 7 in 2019, 4 in 2020 and 5 in 2021 (p<0.001). The OR(95%CI) of good control in 2019 were 1.04(1.04-1.05) per year of age and 1.03(1.01-1.04) for each iPC; In 2020 they were 1.04 (1.03-1.05) per year of age, 1.05 (1.04-1.07) for each iPC and 1.04 (1.02-1.07) for each TC; in 2021 they were 1.04 (1.04-1.05) per year of age, 1.05 (1.03-1.06) for each iPC and 1.02 (1.00-1.04) for each TC.

CONCLUSIONS

The control of patients with DM2 during the period 2019-2021 had a direct relationship with the change in the frequency of consultations at the health center, with differences depending on the type of consultation and the age of the patient.

Effects of an Electronic Medical Records-Linked Diabetes Self-Management System on Treatment Targets in Real Clinical Practice: Retrospective, Observational Cohort Study

BACKGRUOUND

This study evaluated the effects of a mobile diabetes management program called "iCareD" (College of Medicine, The Catholic University of Korea) which was integrated into the hospital's electronic medical records system to minimize the workload of the healthcare team in the real clinical practice setting.

METHODS

In this retrospective observational study, we recruited 308 patients. We categorized these patients based on their compliance regarding their use of the iCareD program at home; compliance was determined through self-monitored blood glucose inputs and message subscription rates. We analyzed changes in the ABC (hemoglobin A1c, blood pressure, and low-density lipoprotein cholesterol) levels from the baseline to 12 months thereafter, based on the patients' iCareD usage patterns.

RESULTS

The patients comprised 92 (30%) non-users, 170 (55%) poor-compliance users, and 46 (15%) good-compliance users; the ABC target achievement rate showed prominent changes in good-compliance groups from baseline to 12 months (10.9% vs. 23.9%, P<0.05), whereas no significant changes were observed for poor-compliance users and non-users (13.5% vs. 18.8%, P=0.106; 20.7% vs. 14.1%, P=0.201; respectively).

CONCLUSION

Implementing the iCareD can improve the ABC levels of patients with diabetes with minimal efforts of the healthcare team in real clinical settings. However, the improvement of patients' compliance concerning the use of the system without the vigorous intervention of the healthcare team needs to be solved in the future.

Knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform

BACKGROUND

This study aimed to assess the knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform.

METHODS

This web-based cross-sectional study was conducted between May 2023 and June 2023 at the First Hospital of Zhangjiakou, China. A self-designed questionnaire was developed to collect demographic information of medical workers, and assess their knowledge, attitudes and practices toward outpatient diabetes information platform.

RESULTS

A total of 685 questionnaires were collected. Among the participants, 603 (88.03%) were female, 432 (63.07%) work in a tertiary hospital, 548 (80.00%) have a bachelor degree, 270 (39.42%) of them work in the department of internal medicine and 315 (45.99%) of them received previous training on outpatient diabetes information platform. The mean knowledge, attitudes and practices scores were 4.32 ± 1.27 (possible range: 0-6), 56.76 ± 5.72 (possible range: 14-70), and 32.22 ± 8.42 (possible range: 9-45), respectively. 350 (51.09%) of them have sufficient knowledge, 168 (24.53%) have positive attitudes and 395 (57.66%) have active practices. Pearson correlation analysis showed that knowledge was positively correlated with attitudes (r = 0.397, P < 0.001), and attitudes were positively correlated with practices (r = 0.306, P < 0.001). Multivariate analysis showed that primary hospital (OR = 0.32, 95% CI: 0.14-0.71, P = 0.005), secondary hospital (OR = 0.48, 95% CI: 0.32-0.72, P < 0.001), doctor (OR = 2.44, 95% CI: 1.39-4.28, P = 0.002) were independently associated with sufficient knowledge. Knowledge (OR = 1.49, 95% CI: 1.29-1.73, P < 0.001), community hospital staff (OR = 0.21, 95% CI: 0.05-0.88, P = 0.032) were independently associated with positive attitudes. Attitudes (OR = 1.13, 95% CI: 1.09-1.17, P < 0.001), junior college (OR = 1.72, 95% CI: 1.07-2.77, P = 0.026) were independently associated with active practices. The structural equation model demonstrated that knowledge had a direct effect on attitudes (path coefficient = 0.521, P < 0.001), and attitudes had a direct effect on practices (path coefficient = 0.542, P < 0.001). Moreover, the type of hospital had a direct effect on knowledge (path coefficient = 0.085, P < 0.001). Additionally, previous training on the outpatient diabetes platform had direct effects on attitudes (path coefficient = 0.191, P < 0.001) and practices (path coefficient = 0.184, P < 0.001).

CONCLUSION

These findings revealed that medical workers have insufficient knowledge, positive attitudes and inactive practices toward the outpatient diabetes information platform. Comprehensive training programs are needed to improve medical staff's practices in this area.

Effects of Digitization of Self-Monitoring of Blood Glucose Records Using a Mobile App and the Cloud System on Outpatient Management of Diabetes: Single-Armed Prospective Study

BACKGROUND

In recent years, technologies promoting the digitization of self-monitoring of blood glucose (SMBG) records including app-cloud cooperation systems have emerged. Studies combining these technological interventions with support from remote health care professionals have reported improvements in glycemic control.

OBJECTIVE

To assess the use of an app-cloud cooperation system linked with SMBG devices in clinical settings, we evaluated its effects on outpatient management of diabetes without remote health care professional support.

METHODS

In this multicenter, open-label, and single-armed prospective study, 48 patients with diabetes (including type 1 and type 2) at 3 hospitals in Japan treated with insulin or glucagon-like peptide 1 receptor agonists and performing SMBG used the app-cloud cooperation system for 24 weeks. The SMBG data were automatically uploaded to the cloud via the app. The patients could check their data, and their attending physicians reviewed the data through the cloud prior to the patients' regular visits. The primary outcome was changes in glycated hemoglobin (HbA1c) levels.

RESULTS

Although HbA1c levels did not significantly change in all patients, the frequency of daily SMBG following applying the system was significantly increased before induction at 12 (0.60 per day, 95% CI 0.19-1.00; P=.002) and 24 weeks (0.43 per day, 95% CI 0.02-0.84; P=.04). In the subset of 21 patients whose antidiabetic medication had not been adjusted during the intervention period, a decrease in HbA1c level was observed at 12 weeks (P=.02); however, this significant change disappeared at 24 weeks (P=.49). The Diabetes Treatment Satisfaction Questionnaire total score and "Q4: convenience" and "Q5: flexibility" scores significantly improved after using the system (all P<.05), and 72% (33/46) patients and 76% (35/46) physicians reported that the app-cloud cooperation system helped them adjust insulin doses.

CONCLUSIONS

The digitization of SMBG records and sharing of the data by patients and attending physicians during face-to-face visits improved self-management in patients with diabetes.

TRIAL REGISTRATION

Japan Registry of Clinical Trials (jRCT) jRCTs042190057; https://jrct.niph.go.jp/en-latest-detail/jRCTs042190057.

Effect of Mobile Apps on Medication Adherence of Type 2 Diabetes Mellitus: A Systematic Review of Recent Studies

Medication adherence is a critical aspect of managing type 2 diabetes mellitus (T2DM) and achieving optimal clinical outcomes. Mobile app-based interventions have emerged as a promising tool to enhance adherence and glycemic control in T2DM patients. This systematic review aims to evaluate the effectiveness of mobile app interventions in improving medication adherence and glycated hemoglobin among T2DM patients. A comprehensive search was conducted in PubMed, Cochrane Library, and Google Scholar for studies published between September 2018 and September 2023. Studies were included if they were published in English and investigated the effectiveness of mobile apps in enhancing medication adherence among patients with T2DM. Studies were excluded if they included additional interventions, such as electronic pillboxes, phone calls, or SMS text messages, or if they focused on populations with chronic illnesses other than T2DM. Five studies involving 527 participants from diverse geographic locations were included in the review. The findings from the included studies show that mobile-based app interventions can significantly improve medication adherence in patients with T2DM. From the included studies, the mean HbA1c change for the intervention group was -0.664 (95%CI -0.823 to -0.506), while the mean change in HbA1c for the control group was -0.103 (95%CI -0.305 to 0.099). Studies have demonstrated the potential of mobile app-based interventions to enhance medication adherence and improve glycemic control in T2DM; further research is needed to determine the long-term effects of these interventions.

7. Diabetes Technology: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Can a Basic Management App Paired With A Glucose Meter Help Reduce Glucose Levels Among Adults With Type 2 Diabetes? The REALL Study

OBJECTIVE

Evaluations of technology to help adults manage type 2 diabetes (T2D) have yielded mixed results. We analyzed the effectiveness of a free app linked to a glucose meter to study reductions in glucose levels over time among a self-selected sample of adults with T2D.

RESEARCH DESIGN AND METHODS

Adults with T2D >12 months, >21 years, ability to read English (insulin using-IU and non-insulin using-NIU) who independently elected to pair their CONTOUR NEXT ONE meter with the CONTOUR DIABETES App were invited to participate. Glucose data from baseline to 16 weeks were uploaded to the cloud (N = 461). Assessment of diabetes distress, medication taking, quality of life, and hypoglycemia concerns occurred at baseline, six, and 16 weeks.

RESULTS

Findings indicated a significant decrease in weekly glucose levels over time: baseline mean = 169 (62.0) (9.4 mmol/L; 3.44); 16-week mean = 146.5 (36.0) (8.1 mmol/L; 2.0) (P < .001), with no IU and NIU differences. Largest reductions occurred during the first six weeks, with no later rebound effects. Significant, though modest, improvements in global quality of life (P = .03), hypoglycemia concerns (P = .01), and diabetes distress (P < .001) occurred over 16 weeks.

CONCLUSIONS

Making an App for monitoring glucose easily available for download with a glucose meter can be helpful for self-selected adults with T2D. Effective utilization assumes that users are sufficiently motivated and engaged, are comfortable and trusting of the technology, and have sufficient knowledge of how to make use of the glucose data.

Incidence rate and risk factors for hypoglycemia among individuals with type 1 diabetes or type 2 diabetes in China receiving insulin treatment

AIMS

We investigated the real-world incidence of hypoglycemic events among patients with type 1 or type 2 diabetes (T1DM or T2DM) receiving insulin in routine clinical practice in China.

METHODS

In this observational study, data were collected electronically via the Lilly Connected Care Program (LCCP) electronic system from adults with T1DM or T2DM who had registered on LCCP between 1 February 2019 and 31 January 2022, had used insulin for a full 12-week period following registration. The following outcomes were assessed during the 12 weeks following registration: incidence of level 1 and level 2 hypoglycemia.

RESULTS

In total, 22,752 patients were enrolled. Among patients with monitoring data, over the 12-week study period, level 1 and 2 hypoglycemia were experienced by 48.8% and 25.9% of patients with T1DM and 26.5% and 13.9% of patients with T2DM. The proportion of patients treated with oral anti-diabetes drugs (OADs) capable of producing hypoglycemia (sulfonylurea or glinide) was 1.3% in T1DM and 1.6% in T2DM, respectively. Questionnaire data revealed that up to 92.5% of hypoglycemic events occurred outside of hospital and 18.6% were serious.

CONCLUSIONS

These real-world data collected from Chinese patients with diabetes receiving insulin treatment reveal a relatively high percentage of patients experiencing hypoglycemia, with around one quarter of these events classified as severe and as many as 92.5% occurring outside of a hospital or clinic.

A multisectoral and multidisciplinary endeavor: a review of diabetes self-management apps in China

BACKGROUND

While the use of self-management apps has considerable promise to efficiently reduce the diabetes burden that disproportionally affects low- and middle-income countries (LMICs), and the multisectoral and multidisciplinary approaches have been encouraged to be used in diabetes management, little is known about the status of the integration of these approaches in the existing diabetes self-management apps. This review examines the diabetes apps in China as an indication of the current status of integrating multisectoral and multidisciplinary approaches in diabetes mHealth care in LMICs.

METHODS

Eligible diabetes apps were searched on major Chinese app stores up to December 23, 2022. The app comprehensiveness index (ranging 0-80) regarding the app functions and diabetes management domains was created. The multisectoral and multidisciplinary features were summarized using indices derived from current guidance.

RESULTS

Sixty-six apps were reviewed, all developed by private companies. The average comprehensiveness score was 16, with many major self-management domains and functions not represented among the reviewed apps. Forty apps (61%) involved multiple sectoral entities, with public/private and private/private collaborations being the most common collaborative combinations. Thirty-seven apps (56%) involved multiple disciplines, among which endocrinology/metabolism, nutrition, and cardiovascular medicine were the top three most common disciplines. Compared to non-multidisciplinary apps, multidisciplinary apps tended to provide more comprehensive services in apps (6.14 vs. 5.18, p = 0.0345). Different sectors and disciplines tended to work independently, without robust interactions, in providing diabetes management services in the reviewed apps.

CONCLUSION

Multisectoral and multidisciplinary features has presented in the current diabetes self-management apps in China; however, it is still in its infancy and significant limitations existed. More engagement of civil society organizations and community groups and innovative collaborations between sectors and disciplines are needed to provide comprehensive, continuous, and patient-centered mHealth care for patients with diabetes in LMICs like China. Clear guidance for integrating and evaluating the multisectoral and multidisciplinary efforts in self-management apps is necessary to ensure the effective use of mHealth solutions for diabetes management in LMICs.

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.

The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems

The success of artificial intelligence depends on whether it can penetrate the boundaries of evidence-based medicine, the lack of policies, and the resistance of medical professionals to its use. The failure of digital health to meet expectations requires rethinking some of the challenges faced. We discuss some of the most significant challenges faced by patients, physicians, payers, pharmaceutical companies, and health systems in the digital world. The goal of healthcare systems is to improve outcomes. Assisting in diagnosing, collecting data, and simplifying processes is a "nice to have" tool, but it is not essential. Many of these systems have yet to be shown to improve outcomes. Current outcome-based expectations and economic constraints make "nice to have," "assists," and "ease processes" insufficient. Complex biological systems are defined by their inherent disorder, bounded by dynamic boundaries, as described by the constrained disorder principle (CDP). It provides a platform for correcting systems' malfunctions by regulating their degree of variability. A CDP-based second-generation artificial intelligence system provides solutions to some challenges digital health faces. Therapeutic interventions are held to improve outcomes with these systems. In addition to improving clinically meaningful endpoints, CDP-based second-generation algorithms ensure patient and physician engagement and reduce the health system's costs.

Efficacy of a smartphone application for helping individuals with type 2 diabetes mellitus manage their blood glucose: a protocol for factorial design trial

BACKGROUND

China has the largest number of individuals with type 2 diabetes mellitus (T2DM) in the world, and most lack knowledge about glycemic control and health management. This trial will examine whether a smartphone application can improve blood glucose management among individuals with T2DM.

METHODS

This will be a 2-center, factorial design, equal proportional distribution, superiority trial conducted in outpatient endocrinology clinics at two tertiary hospitals in Chengdu, China. The trial will enroll smartphone-literature individuals at least 18 years old who have been diagnosed with T2DM based on glycosylated hemoglobin (HbA1c) of at least 7.0%. Individuals will be randomly assigned to receive routine care with standard education about T2DM and glycemic control (Control), routine care as well as weekly telephone reminders to self-monitor blood glucose (Reminder), routine care and a smartphone application providing information about glycemic control and health management with T2DM (App), or the combination of routine care, the smartphone application, and weekly telephone reminders (App + Reminder). After 6 months of these interventions, participants will be analyzed for the primary outcome of HbA1c as well as the secondary outcomes of blood glucose monitoring frequency, body mass index, blood pressure, knowledge about diabetes, health beliefs related to diabetes, diabetes self-management behavior, and satisfaction with the smartphone application.

DISCUSSION

This trial will determine whether a smartphone application can improve glycemic management among Chinese with T2DM. The findings may help guide the development of effective applications in China and elsewhere.

TRIAL REGISTRATION

Registration in the Chinese Clinical Trial Registry (ChiCTR) under registration number ChiCTR2100042297: https://www.chictr.org.cn/bin/userProject . 17 January 2021.

The potential of the Medical Digital Twin in diabetes management: a review

Diabetes is a chronic prevalent disease that must be managed to improve the patient's quality of life. However, the limited healthcare management resources compared to the large diabetes mellitus (DM) population are an obstacle that needs modern information technology to improve. Digital twin (DT) is a relatively new approach that has emerged as a viable tool in several sectors of healthcare, and there have been some publications on DT in disease management. The systematic summary of the use of DTs and its potential applications in DM is less reported. In this review, we summarized the key techniques of DTs, proposed the potentials of DTs in DM management from different aspects, and discussed the concerns of this novel technique in DM management.

Does knowledge of liver fibrosis affect high-risk drinking behaviour (KLIFAD): an open-label pragmatic feasibility randomised controlled trial

Background

Early identification followed by effective behaviour interventions is pivotal to changing the natural history of alcohol-related liver disease. We examined the feasibility of using transient elastography based advice and alcohol recovery video stories (ARVS) to change drinking behaviour in community alcohol services.

Methods

A feasibility randomised control trial (RCT) was conducted in three community alcohol services. Adults 18+ years presenting with a primary alcohol problem were randomised (1:1) to receive either usual care (control group) or usual care and the KLIFAD Intervention, consisting of advice tailored to liver stiffness measure and access to ARVS (intervention group). Data were collected at baseline and six months. To establish definitive trial feasibility, recruitment and retention rates, study procedure safety and extent of effectiveness were measured (Start date: 02.10.2019, End date: 30.11.2022, ISRCTN.com: 16922410).

Findings

382 service users were screened, 184 were randomised (intervention: 93, control: 91), and baseline data were collected for 128 (intervention: 71, control: 59). Six months follow-up data were available in 87 (intervention: 53, control: 34). Intervention compared to the control group had a longer duration of engagement with services (mean difference 8.6 days SD = 18.4), was more likely to complete the allocated treatment program and reduced or stop drinking (54.9% vs 43.9%) and reduce AUDIT category (71.7% vs 61.8%). There were no reported serious adverse reactions, one intervention group participant reported an increase in AUDIT category.

Interpretation

Integration of transient elastography in community alcohol services is feasible. It may improve engagement with services, retention in clinical trials and supplement the reduction in self-reported alcohol consumption. A definitive RCT is supported.

Funding

National Institute for Health and Care Research (NIHR201146).

Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes

BACKGROUND

There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision-makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations.

OBJECTIVES

To update existing systematic reviews of diabetes QI programmes and apply novel meta-analytical techniques to estimate the effectiveness of QI strategies (individually and in combination) on diabetes quality of care.

SEARCH METHODS

We searched databases (CENTRAL, MEDLINE, Embase and CINAHL) and trials registers (ClinicalTrials.gov and WHO ICTRP) to 4 June 2019. We conducted a top-up search to 23 September 2021; we screened these search results and 42 studies meeting our eligibility criteria are available in the awaiting classification section.

SELECTION CRITERIA

We included randomised trials that assessed a QI programme to improve care in outpatient settings for people living with diabetes. QI programmes needed to evaluate at least one system- or provider-targeted QI strategy alone or in combination with a patient-targeted strategy. - System-targeted: case management (CM); team changes (TC); electronic patient registry (EPR); facilitated relay of clinical information (FR); continuous quality improvement (CQI). - Provider-targeted: audit and feedback (AF); clinician education (CE); clinician reminders (CR); financial incentives (FI). - Patient-targeted: patient education (PE); promotion of self-management (PSM); patient reminders (PR). Patient-targeted QI strategies needed to occur with a minimum of one provider or system-targeted strategy.

DATA COLLECTION AND ANALYSIS

We dual-screened search results and abstracted data on study design, study population and QI strategies. We assessed the impact of the programmes on 13 measures of diabetes care, including: glycaemic control (e.g. mean glycated haemoglobin (HbA1c)); cardiovascular risk factor management (e.g. mean systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), proportion of people living with diabetes that quit smoking or receiving cardiovascular medications); and screening/prevention of microvascular complications (e.g. proportion of patients receiving retinopathy or foot screening); and harms (e.g. proportion of patients experiencing adverse hypoglycaemia or hyperglycaemia). We modelled the association of each QI strategy with outcomes using a series of hierarchical multivariable meta-regression models in a Bayesian framework. The previous version of this review identified that different strategies were more or less effective depending on baseline levels of outcomes. To explore this further, we extended the main additive model for continuous outcomes (HbA1c, SBP and LDL-C) to include an interaction term between each strategy and average baseline risk for each study (baseline thresholds were based on a data-driven approach; we used the median of all baseline values reported in the trials). Based on model diagnostics, the baseline interaction models for HbA1c, SBP and LDL-C performed better than the main model and are therefore presented as the primary analyses for these outcomes. Based on the model results, we qualitatively ordered each QI strategy within three tiers (Top, Middle, Bottom) based on its magnitude of effect relative to the other QI strategies, where 'Top' indicates that the QI strategy was likely one of the most effective strategies for that specific outcome. Secondary analyses explored the sensitivity of results to choices in model specification and priors.  Additional information about the methods and results of the review are available as Appendices in an online repository. This review will be maintained as a living systematic review; we will update our syntheses as more data become available.

MAIN RESULTS

We identified 553 trials (428 patient-randomised and 125 cluster-randomised trials), including a total of 412,161 participants. Of the included studies, 66% involved people living with type 2 diabetes only. Participants were 50% female and the median age of participants was 58.4 years. The mean duration of follow-up was 12.5 months. HbA1c was the commonest reported outcome; screening outcomes and outcomes related to cardiovascular medications, smoking and harms were reported infrequently. The most frequently evaluated QI strategies across all study arms were PE, PSM and CM, while the least frequently evaluated QI strategies included AF, FI and CQI. Our confidence in the evidence is limited due to a lack of information on how studies were conducted.  Four QI strategies (CM, TC, PE, PSM) were consistently identified as 'Top' across the majority of outcomes. All QI strategies were ranked as 'Top' for at least one key outcome. The majority of effects of individual QI strategies were modest, but when used in combination could result in meaningful population-level improvements across the majority of outcomes. The median number of QI strategies in multicomponent QI programmes was three.  Combinations of the three most effective QI strategies were estimated to lead to the below effects:  - PR + PSM + CE: decrease in HbA1c by 0.41% (credibility interval (CrI) -0.61 to -0.22) when baseline HbA1c < 8.3%; - CM + PE + EPR: decrease in HbA1c by 0.62% (CrI -0.84 to -0.39) when baseline HbA1c > 8.3%;  - PE + TC + PSM: reduction in SBP by 2.14 mmHg (CrI -3.80 to -0.52) when baseline SBP < 136 mmHg; - CM + TC + PSM: reduction in SBP by 4.39 mmHg (CrI -6.20 to -2.56) when baseline SBP > 136 mmHg;  - TC + PE + CM: LDL-C lowering of 5.73 mg/dL (CrI -7.93 to -3.61) when baseline LDL < 107 mg/dL; - TC + CM + CR: LDL-C lowering by 5.52 mg/dL (CrI -9.24 to -1.89) when baseline LDL > 107 mg/dL. Assuming a baseline screening rate of 50%, the three most effective QI strategies were estimated to lead to an absolute improvement of 33% in retinopathy screening (PE + PR + TC) and 38% absolute increase in foot screening (PE + TC + Other).

AUTHORS' CONCLUSIONS

There is a significant body of evidence about QI programmes to improve the management of diabetes. Multicomponent QI programmes for diabetes care (comprised of effective QI strategies) may achieve meaningful population-level improvements across the majority of outcomes. For health system decision-makers, the evidence summarised in this review can be used to identify strategies to include in QI programmes. For researchers, this synthesis identifies higher-priority QI strategies to examine in further research regarding how to optimise their evaluation and effects. We will maintain this as a living systematic review.

Effectiveness of telemonitoring intervention on glycaemic control in patients with type 2 diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

Type 2 diabetes mellitus (T2DM) is a rising global health concern that requires long-term treatment and close monitoring. Telemonitoring has been shown to be a promising tool to facilitate patient-physician interaction and improve glycaemic control.

METHOD

Randomised controlled trials (RCT) of telemonitoring in T2DM published between 1990 and 2021 were searched through multiple electronic databases. The primary outcome variables included HbA1c and fasting blood glucose (FBG), and BMI was a secondary outcome variable.

RESULTS

Thirty RCT with a total of 4,678 participants were included in this study. Twenty-six studies reported on HbA1c, which was shown to be significantly lower in participants on telemonitoring when compared to conventional care. Ten studies investigated FBG which collectively showed no statistically significant difference. Subgroup analysis demonstrated the effect of telemonitoring on glycaemic control is influenced by a range of factors concerning system practicality, user engagement, patient characteristics and disease education.

CONCLUSION

Telemonitoring exhibited a great potential to improve T2DM management. Several technical features and patient factors may influence the effectiveness of telemonitoring. Further studies are needed to verify the findings and address limitations before its implementation into routine practice.

The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression

BACKGROUND

Previous systematic reviews have aimed to clarify the effect of telemedicine on diabetes. However, such reviews often have a narrow focus, which calls for a more comprehensive systematic review within the field. Hence, the objective of the present systematic review, meta-analysis, and meta-regression is to evaluate the effectiveness of telemedicine solutions versus any comparator without the use of telemedicine on diabetes-related outcomes among adult patients with type 2 diabetes (T2D).

METHODS

This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We considered telemedicine randomized controlled trials (RCT) including adults (≥18 years) diagnosed with T2D. Change in glycated hemoglobin (HbA1c, %) was the primary outcome. PubMed, EMBASE, and the Cochrane Library Central Register of Controlled Trials (CENTRAL) were searched on October 14, 2020. An overall treatment effect was estimated using a meta-analysis performed on the pool of included studies based on the mean difference (MD). The revised Cochrane risk-of-bias tool was applied and the certainty of evidence was graded using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach.

RESULTS

The final sample of papers included a total of 246, of which 168 had sufficient information to calculate the effect of HbA1c%. The results favored telemedicine, with an MD of -0.415% (95% confidence interval [CI] = -0.482% to -0.348%). The heterogeneity was great (I2 = 93.05%). A monitoring component gave rise to the higher effects of telemedicine.

CONCLUSIONS

In conclusion, telemedicine may serve as a valuable supplement to usual care for patients with T2D. The inclusion of a telemonitoring component seems to increase the effect of telemedicine.

The Effectiveness of an eHealth Family-Based Intervention Program in Patients With Uncontrolled Type 2 Diabetes Mellitus (T2DM) in the Community Via WeChat: Randomized Controlled Trial

BACKGROUND

Intervention based on family support and risk perception can enhance type 2 diabetes mellitus (T2DM) patients' self-care activities. In addition, eHealth education is considered to improve family members' support for patients with T2DM. However, there is little evidence from rigorously designed studies on the effectiveness of an intervention combining these approaches.

OBJECTIVE

This randomized controlled trial (RCT) aimed to assess the effectiveness of an eHealth family-based health education intervention for patients with T2DM to improve their glucose control, risk perception, and self-care behaviors.

METHODS

This single-center, 2-parallel-group RCT was conducted between 2019 and 2020. Overall, 228 patients were recruited from Jiading District, Shanghai, and randomly divided into intervention and control groups. The intervention group received an eHealth family intervention based on community management via WeChat, whereas the control group received usual care. The primary outcome was the glycated hemoglobin (HbA1c) level of the patients with T2DM, and the secondary outcomes were self-management behavior (general and specific diet, exercise, blood sugar testing, foot care, and smoking), risk perception (risk knowledge, personal control, worry, optimism bias, and personal risk), and family support (supportive and nonsupportive behaviors). A 2-tailed paired-sample t test was used to compare the participants at baseline and follow-up within the control and intervention groups. An analysis of covariance was used to measure the intervention effect.

RESULTS

In total, 225 patients with T2DM were followed up for 1 year. After intervention, they had significantly lower HbA1c values (β=-.69, 95% CI -0.99 to -0.39; P<.001). They also had improved general diet (β=.60, 95% CI 0.20 to 1.00; P=.003), special diet (β=.71, 95% CI 0.34 to 1.09; P<.001), blood sugar testing (β=.50, 95% CI 0.02 to 0.98; P=.04), foot care (β=1.82, 95% CI 1.23 to 2.42; P<.001), risk knowledge (β=.89, 95% CI 0.55 to 1.24; P<.001), personal control (β=.22, 95% CI 0.12 to 0.32; P<.001), worry (β=.24, 95% CI 0.10 to 0.39; P=.001), optimism bias (β=.26, 95% CI 0.09 to 0.43; P=.003), and supportive behaviors (β=5.52, 95% CI 4.03 to 7.01; P<.001).

CONCLUSIONS

The eHealth family-based intervention improved glucose control and self-care activities among patients with T2DM by aiding the implementation of interventions to improve T2DM risk perceptions among family members. The intervention is generalizable for patients with T2DM using health management systems in community health centers.

TRIAL REGISTRATION

Chinese Clinical Trial Registry ChiCTR1900020736; https://www.chictr.org.cn/showprojen.aspx?proj=31214.

Mobile App Interventions to Improve Medication Adherence Among Type 2 Diabetes Mellitus Patients: A Systematic Review of Clinical Trials

BACKGROUND

Medication adherence in type 2 diabetes mellitus (T2DM) patients is often suboptimal resulting in complications. There has been a growing interest in using mobile apps for improving medication adherence.

OBJECTIVE

The objective of this work was to systematically review the clinical trials that have used mobile app-based interventions in T2DM patients for improving medication adherence.

METHODOLOGY

A systematic search was performed to identify published clinical trials between January 2008 and December 2020 in databases-PubMed, Cochrane Library, and Google Scholar. All studies were assessed for risk of bias using quality rating tool from the Cochrane Handbook for Systematic Reviews of Interventions.

RESULTS

Seven clinical studies having 649 participants were studied. The median sample size was 58 (range = 41-247) and the median age of participants was 53.2 (range = 48-69.4) years. All studies showed improvements in adherence; however, only three studies reported statically significant improvements in adherence measures. Selected studies were deemed as unclear in their risk of bias and the most common source of risk of bias among the studies was the absence of objective outcome assessment.

CONCLUSIONS

Mobile apps appear to be effective interventions to help improve medication adherence in T2DM patients compared with conventional care strategies. The features of the App to improvise medical adherence cannot be defined based on the meta-analysis because of heterogeneity of study designs and less number of sample size. Systematically planned studies would set up applicability of mobile apps in the clinical management of T2DM.

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.

7. Diabetes Technology: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Design, development, utility and usability testing of the EMPOWER-SUSTAIN Self-Management Mobile App© among primary care physicians and patients with metabolic syndrome

Objective

This study aimed to design, develop, assess and refine the EMPOWER-SUSTAIN Self-Management Mobile App© among primary care physicians (PCP) and patients with metabolic syndrome (MetS) in primary care.

Methodology

Using the software-development-life-cycle (SDLC) iterative model, storyboard and wireframe were drafted; and a mock prototype was designed to illustrate the content and function graphically. Subsequently, a working prototype was developed. Qualitative studies using the 'think-aloud' and cognitive-task-analysis methods were conducted for the utility and usability testing. Topic guide was based on the 10-Nielsen's-Heuristic-Principles. Utility testing was conducted among PCP in which they 'thought-aloud' while performing tasks using the mobile app. Usability testing was conducted among MetS patients after they were given the app for 3 weeks. They 'thought-aloud' while performing tasks using the app. Interviews were audio- and video-recorded, and transcribed verbatim. Thematic content analysis was performed.

Result

Seven PCP and nine patients participated in the utility and usability testing, respectively. Six themes (efficiency of use, user control and freedom, appearance and aesthetic features, clinical content, error prevention, and help and documentation) emerged. PCP found the mobile app attractive and relevant sections were easy to find. They suggested adding 'zoom/swipe' functions and some parts needed bigger fonts. Patients commented that the app was user-friendly, has nice interface, and straightforward language. It helped them understand their health better. Based on these findings, the mobile app was refined.

Conclusion

This app was produced using a robust SDLC method to increase users' satisfaction and sustainability of its use. It could potentially improve self-management behaviour among MetS patients in primary care.

The impact of telehealth on self-management of patients with type 2 diabetes: A systematic review on interventional studies

BACKGROUND AND AIMS

Self-management is critical to manage the glycemic and metabolic outcomes for patients with diabetes. Telehealth applications are recognized as a potential approach to promote self-management of people with type 2 diabetes. This study aimed to investigate the impact of telehealth on self-management among patients with type 2 diabetes.

METHODS

A systematic review was conducted on several databases, including PubMed, EbscoHost Medline, and Science Direct, with the keywords: Diabetes Mellitus AND Mobile-phone based OR Telemedicine OR Telehealth OR Web-based OR Telenursing AND Self-management. Inclusion criteria were articles with type 2 diabetic respondents, published between 2015 and 2020, open-access articles, and had self-management as outcomes. Hence, qualitative, protocol, or review articles, commentaries, letters to editors, and case study/reports were excluded. The Joanna Briggs Institute critical appraisal tools and Cochrane collaboration's tools were used for assessing risk of bias.

RESULTS

The total of six studies were included in the qualitative synthesis, with five randomized control trials and one cross-sectional study. Telehealth applications were formed as an online or app-based platform with the key features of educational programs, text or voice messages, consultations and counseling, and active participation of the subjects. Besides improving the self-management outcomes, the telehealth also indicated improvements in positive behaviors, attitudes, and the intention of self-management.

CONCLUSION

The study concluded that implementation of telehealth provided positive self-management results among patients with type 2 diabetes. The users need to consider an intensive training, peer or family support, and provision of full support for the patients during the implementation of telehealth.

Design of the DAVOS Study: Diabetes Smartphone App, a Fully Automatic Transmission of Data From the Blood Glucose Meter and Insulin Pens Using Wireless Technology to Enhance Diabetes Self-Management-A Study Protocol for a Randomized Controlled Trial

BACKGROUND

In the treatment of diabetes mellitus, the challenge is to integrate adequate self-management into clinical care. Customization including goal setting, monitoring, and feedback could be achieved through digitization. Digital linking between different devices could simplify and promote self-management. The aim of this study is to evaluate the outcome of diabetes treatment assisted by a digital health application compared with standard diabetes therapy.

METHODS

The DAVOS study is a 6-month-period prospective, multicentric, randomized controlled trial. In total, 154 diabetes patients (age ≥18; treated with insulin) will be recruited and randomized into control group or intervention group. Both groups will receive standard diabetes care. The intervention group will additionally use a diabetes app. HbA1c value will be monitored on three separate defined visits. Primary endpoint is the overall reduction of HbA1c value. Secondary endpoints (eg, usability of the app) will be determined through patient-reported outcome questionnaires.

DISCUSSION

Through enhanced interaction of health care professionals, providers of the app, and patients, the study aims to demonstrate improvement in the self-management of diabetes. As part of the closure management, all patients will be invited to use the examined application after completion of the study. The DAVOS study will be conducted in accordance with the valid version of the present study protocol and the internationally recognized International Conference on Harmonization-Good Clinical Practice (ICH-GCP) Guidelines. Special attention will be paid to European, national, and regional requirements for the approval, provision, and use of medical devices. The study was registered in the German Register of Clinical Trials (DRKS) with number DRKS00025996.

Effect of an Integrative Mobile Health Intervention in Patients With Hypertension and Diabetes: Crossover Study

Background

Obesity, hypertension, and type 2 diabetes mellitus (T2DM) are worldwide epidemics that inflict burdens on both public health and health care costs. Self-management plays an important role in the proper management of these 3 chronic diseases, and in this context, mobile health (mHealth) can be a cost-effective self-management tool.

Objective

The aim of this pilot study is to evaluate the effects of an integrative mHealth approach for obesity, hypertension, and T2DM on body fat, blood pressure, and blood glucose levels and demonstrate the clinical outcomes. The participants were patients aged 40 to 70 years who were treated for T2DM (hemoglobin A_1c [HbA_1c] above 6.0%) without insulin or hypertension and obesity, controlled with pharmacotherapy.

Methods

This pilot study was performed using a controlled, randomized, 3-month, 2-period crossover design. A total of 37 participants were recruited from 2 university hospitals in South Korea. Integrative mHealth comprised 4 parts: self-measuring home devices for monitoring blood glucose and blood pressure; 2 smartphone apps, where one gathered lifestyle data, giving them feedback with health information, and the other provided drug information and reminders of the medication schedule; unmanned kiosks for official measurement of blood pressure and body composition; and web-based access to participants’ health information.

Results

Data from the 32 participants were analyzed. Their mean HbA_1c level was 7.5% (SD 0.8, ranging from 6.1% to 9.4%). Approximately 38% (12/32) of the participants had hypertension. BMIs of all participants except 1 were >23 kg/m². The input rates of food intake and exercise to the smartphone app were very low (24.9% and 5.3%, respectively). On the contrary, the input rate of medicine intake was high (84.0%). Moreover, there was no significant difference in the input rate of taking medicine irrespective of whether the mHealth period was before or after the conventional treatment period (80.3% and 87.3%, respectively; P=.06). Among the 3 input functions of food intake, exercise, and medicine intake in smartphone apps, the input of medicine intake was a more helpful, easier to use, and better-designed function than the others. There were no significant differences in changes in body weight (−0.519 kg vs 0 kg), BMI (−0.133 kg/m² vs −0.167 kg/m²), body composition (body fat −0.255% vs 0.172%), blood pressure (systolic −0.226 mm Hg vs −2.839 mm Hg), and HbA_1c (−0.269% vs –0.009%) between the integrative mHealth and conventional treatment groups. However, in proportion to the elevation in the input rate of taking medicine, body fat mass (P=.04) and HbA_1c (P=.03) were lower in the integrative mHealth group.

Conclusions

Although smartphone apps can influence body fat and blood glucose levels, they have failed to show clinical improvement. A higher input rate of taking medicine was related to significantly lower body fat mass and HbA_1c levels.

7. Diabetes Technology: Standards of Medical Care in Diabetes-2022

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Evaluation of the quality of contracted family doctor services based on patient perceptions and expectations: a follow-up analysis from the elderly with chronic diseases in rural Jiangsu, China

INTRODUCTION

The policy focus of contracted family doctor services (CFDS) has been shifting to improve quality and efficiency in China. The study's objective was to establish a quality evaluation scale for CFDS based on the perceived service quality model and to assess the service quality from the perspective of patient perceptions and expectations.

METHODS

Data were obtained from a 2-year follow-up survey of CFDS in Jiangsu, China. A total of 1264 elderly people with chronic diseases were tracked. The self-developed scale was designed based on the perceived service quality model. The product scale method was used to assign weighted values, the Wilcoxon signed-rank test was used to compare the differences over the 2 years, and pooled cross-sectional regression was conducted to evaluate the associated factors with the gap scores of service quality.

RESULTS

There were significant differences between perceptions and expectations in each dimension in the 2 years (p<0.05), and the service quality gaps existed. Over the 2 years, Accessibility and Horizontal continuity were the first-ranked and second-ranked in expectations; the top three scores in perception were Horizontal continuity, Comprehensive service and Accessibility dimensions. The service quality gap in 2020 was smaller than that in 2019 (p<0.05). There were differences in the perception scores in the Vertical continuity, Technical and Economic dimensions and in the expectation scores in the Horizontal continuity, Vertical continuity and Technical dimensions between the 2 years (p<0.05). The factors that were significantly associated with each dimension score included the Jiangsu region, gender, age and education levels (p<0.05).

CONCLUSION

The quality evaluation scale of CFDS has good reliability and validity. Policy efforts should be focused on accelerating the development of medical alliances, optimising medical insurance policies and improving the capacity of family doctor services to meet the needs of the elderly with chronic diseases.

Efficacy of Interventions That Incorporate Mobile Apps in Facilitating Weight Loss and Health Behavior Change in the Asian Population: Systematic Review and Meta-analysis

Background

Smartphone apps have shown potential in enhancing weight management in Western populations in the short to medium term. With a rapidly growing obesity burden in Asian populations, researchers are turning to apps as a service delivery platform to reach a larger target audience to efficiently address the problem.

Objective

This systematic review and meta-analysis aims to determine the efficacy of interventions that incorporate apps in facilitating weight loss and health behavior change in the Asian population.

Methods

A total of 6 databases were searched in June 2020. The eligible studies included controlled trials in which an app was used in the intervention. The participants were aged 18 years or older and were of Asian ethnicity. A meta-analysis to test intervention efficacy, subgroup analyses, and post hoc analyses was conducted to determine the effects of adding an app to usual care and study duration. The primary outcome was absolute or percentage weight change, whereas the secondary outcomes were changes to lifestyle behaviors.

Results

A total of 21 studies were included in this review, and 17 (81%) were selected for the meta-analysis. The pooled effect size across 82% (14/17) of the randomized controlled trials for weight change was small to moderate (Hedges g=–0.26; 95% CI –0.41 to –0.11), indicating slightly greater weight loss achieved in the intervention group; however, this may not be representative of long-term studies (lasting for more than a year). Supplementing multicomponent usual care with an app led to greater weight loss (Hedges g=–0.28; 95% CI –0.47 to –0.09). Asian apps were largely culturally adapted and multifunctional, with the most common app features being communication with health professionals and self-monitoring of behaviors and outcomes.

Conclusions

More evidence is required to determine the efficacy of apps in the long term and address the low uptake of apps to maximize the potential of the intervention. Future research should determine the efficacy of each component of the multicomponent intervention to facilitate the designing of studies that are most effective and cost-efficient for weight management.

Trial Registration

PROSPERO CRD42020165240; https://tinyurl.com/2db4tvn6

Effect of a Smartphone App on Weight Change and Metabolic Outcomes in Asian Adults With Type 2 Diabetes: A Randomized Clinical Trial

IMPORTANCE

Lifestyle interventions are effective in diabetes management, with smartphone apps that manage health data and dietary and exercise schedules gaining popularity. However, limited evidence from randomized clinical trials exists regarding the effectiveness of smartphone-based interventions among Asian adults with type 2 diabetes.

OBJECTIVE

To compare the effects of a culturally contextualized smartphone-based intervention with usual care on weight and metabolic outcomes.

DESIGN, SETTING, AND PARTICIPANTS

This randomized clinical trial conducted at multiple primary care centers in Singapore included 305 adults with type 2 diabetes and body mass index (BMI) of 23 or greater who had literacy in English and smartphone access. Participants were recruited between October 3, 2017, and September 9, 2019, and were randomly assigned (1:1; stratified by gender, age, and BMI) to intervention (99 participants) or control (105 participants) groups. Participants' data were analyzed using intention-to-treat analysis.

INTERVENTIONS

Both control and intervention participants received diet and physical activity advice from a dietitian at a baseline face-to-face visit. Intervention participants additionally used a smartphone app to track weight, diet, physical activity, and blood glucose and then communicated with dietitians for 6 months.

MAIN OUTCOMES AND MEASURES

Primary outcome was change in body weight, while secondary outcomes were changes in hemoglobin A1c (HbA1c), fasting blood glucose, blood pressure, lipids, and diet. Post hoc analyses included glycemic changes in the subgroup with HbA1c levels of 8% or greater and diabetes medication changes.

RESULTS

Among the 204 randomized participants (mean [SD] age, 51.2 [9.7] years; 132 [64.7%] men), baseline mean (SD) BMI was 30.6 (4.3). Compared with the control group, intervention participants achieved significantly greater reductions in weight (mean [SD] change, -3.6 [4.7] kg vs -1.2 [3.6] kg) and HbA1c levels (mean [SD] change, -0.7% [1.2] vs -0.3% [1.0]), with a greater proportion having a reduction in diabetes medications (17 participants [23.3%] vs 4 participants [5.4%]) at 6 months. The intervention led to a greater HbA1c reduction among participants with HbA1c levels of 8% or higher (mean [SD] change, -1.8% [1.4] vs -1.0% [1.4]; P = .001). Intergroup differences favoring the intervention were also noted for fasting blood glucose, diastolic blood pressure, and dietary changes.

CONCLUSIONS AND RELEVANCE

In this study, a smartphone-based lifestyle intervention was more effective in achieving weight and glycemic reductions among Asian adults with type 2 diabetes compared with usual care, supporting the use of apps in lifestyle intervention delivery.

TRIAL REGISTRATION

anzctr.org.au Identifier: ACTRN12617001112358.

Impact of DSMES app interventions on medication adherence in type 2 diabetes mellitus: systematic review and meta-analysis

Objectives

To conduct systematic review and meta-analysis of interventional studies to investigate the impact of diabetes self-management education and support (DSMES) apps on adherence in patients with type 2 diabetes mellitus (T2D).

Methods

PubMed, Embase, CENTRAL, Web of Science, Scopus and ProQuest were searched, in addition to references of identified articles and similar reviews. Experimental studies, reported in English, assessing DSMES app intervention’s impact on adherence and clinical outcomes of patients with T2D compared with usual care were included. Study bias was assessed using Cochrane Risk of Bias V.2.0 tool. Analysis plan involved narrative synthesis, moderator and meta-analysis.

Results

Six randomised controlled trials were included, involving 696 participants (average age 57.6 years, SD 10.59). Mobile apps were mostly used for imputing clinical data, dietary intake or physical activity, and transmitting information to the provider. At 3 months, DSMES apps proved effective in improving medication adherence (standardized mean difference (SMD)=0.393, 95% CI 0.17 to 0.61), glycated haemoglobin (HbA1c) (mean difference (MD)=−0.314, 95% CI −0.477 to –0.151) and Body Mass Index (BMI) (MD=−0.28, 95% CI −0.545 to –0.015). All pooled estimates had low heterogeneity (I² 0%). Four studies had moderate risk of bias while one each was judged to be low and high risks, respectively.

Conclusion

DSMES apps had significant small to moderate effects on medication adherence, HbA1c and BMI of patients with T2D compared with usual care. Apps were described as reliable, easy to use and convenient, though participants were required to be phone literate. Evidence comes from feasibility trials with generally moderate risk of bias. Larger trials with longer follow-up periods using theory-based interventions are required to improve current evidence.

7. Diabetes Technology: Standards of Medical Care in Diabetes-2021

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study

Background

Many technology-assisted innovations have been used to manage disease. However, most of these innovations are not broadly used by older adults due to their cost. Additionally, disease management through technology-assisted innovations has not been compared with other interventions.

Objective

In this study, we tested the employment of a free and widely used social and communication app to help older adults with diabetes manage their distress and glycemic control. We also compared the effectiveness of the app with 2 other methods, namely telephone and conventional health education, and determined which subgroup experiences the most effects within each intervention.

Methods

Adults aged ≥50 years with type 2 diabetes were recruited from Southern Taiwan (N=231) and were allocated to different 3-month interventions. Informed consent was obtained at the Ministry of Science and Technology and approved by the National Cheng Kung University Hospital Institutional Review Board (No. A-ER-102-425).

Results

Participants in the mobile-based group had significant reductions in hemoglobin A1c compared with the telephone-based and usual care groups (mean changes of –0.4%, 0.1%, and 0.03%, respectively; P=.02). Diabetes-specific distress decreased to a greater extent in the mobile-based group compared to the other 2 groups (mean changes of –5.16, –3.49, and –2.44, respectively, P=.02). Subgroup analyses further revealed that the effects on reducing blood glucose levels in the social and communication app groups were especially evident in patients with lower distress scores, and diabetes-related distress was especially evident in participants who were younger than 60 years or had higher educational levels.

Conclusions

The findings of this study inform more flexible use of social and communication apps with in-person diabetes education and counselling.