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.

BACKGROUND: Managing the care regimen for Type 1 Diabetes is challenging for emerging adults, as they take on greater responsibility for self-management. A diverse range of models of care have been implemented to improve safety and quality of care during transition between paediatric and adult services. However, evidence about acceptability and effectiveness of these is limited. Our aim was to synthesise the evidence for transition models and their components, examine the health related and psychosocial outcomes, and to identify determinants associated with the implementation of person-centred models of transition care. METHOD: We searched Medline, CINAHL, EMBASE and Scopus. Peer reviewed empirical studies that focused on T1D models of care published from 2010 to 2021 in English, reporting experimental, qualitative, mixed methods, and observational studies were included. RESULTS: Fourteen studies reported on health and psychosocial outcomes, and engagement with healthcare. Three key models of care emerged: structured transition education programs (6 studies), multidisciplinary team transition support (5 studies) and telehealth/virtual care (3 studies). Compared with usual practice, three of the six structured transition education programs led to improvements in maintenance of glycaemic control, psychological well-being, and engagement with health services. Four MDT transition care models reported improved health outcomes, and improved engagement with health services, however, three studies reported no benefit. Reduced diabetes related stress and increased patient satisfaction were reported by two studies, but three reported no benefit. Telehealth and virtual group appointments improved adherence to self-management and reduced diabetes distress but did not change health outcomes. CONCLUSIONS: Although some health and psychosocial benefits are reported, the results were mixed. No studies reported on T1D transition model implementation outcomes such as acceptability, adoption, and appropriateness among clinicians or managers implementing these models. This gap needs to be addressed to support future adoption of successful models.

BACKGROUND: Games and game components have become a major trend in the realm of digital health research and practice as they are assumed to foster behavior change and thereby improve patient-reported and clinical outcomes for patients with type 2 diabetes. OBJECTIVE: The aim of this systematic review was to summarize and evaluate the current evidence on the effectiveness of digital health interventions containing game components on behavioral, patient-reported, and clinical outcomes for patients with type 2 diabetes. METHODS: An electronic search was conducted in MEDLINE and PsycINFO in April 2020; updated in April 2022; and supplemented by additional searches via Google Scholar, Web of Science (which was used for forward citation tracking), and within the references of the included records. Articles were identified using predefined inclusion and exclusion criteria. In total, 2 reviewers independently conducted title, abstract, and full-text screening and then individually performed a critical appraisal of all the included studies using the Cochrane risk-of-bias tool version 2. A consensus was reached through discussion. RESULTS: Of 2325 potentially relevant titles (duplicates excluded), 10 (0.43%) randomized controlled trials were included in this review. Quality assessment revealed a high risk of bias for all randomized controlled trials except for 10% (1/10), with performance bias due to the lack of blinding being the major source of bias. There is evidence suggesting that digital health interventions containing game components can substantially improve motivation for physical activity (1/1, 100% of the studies dealing with PA motivation), exercise intensity (3/5, 60%), dietary behavior (4/4, 100%), health literacy (1/3, 33%), mental quality of life (2/2, 100%), glycated hemoglobin level (2/6, 33%), BMI (1/3, 33%), fasting plasma glucose level (1/2, 50%), waist circumference (1/1, 100%), and aerobic capacity (1/1, 100%). CONCLUSIONS: Published studies indicated that digital health interventions containing game components might improve health behavior patterns, quality of life, and clinical outcomes in patients with type 2 diabetes. However, the intervention types and outcomes studied were heterogeneous, and study quality was mostly low, which translates to ambiguous results. Future research should focus on sound methodology and reporting as well as on identifying game components that contribute to significant positive effects.

AIM: This integrative review aimed to synthesise the available quantitative and qualitative studies on the effectiveness of diabetes self-management education (DSME) delivered through social media on glycaemic control (HbA1c), knowledge, health-related quality-of-life (HRQoL), anxiety, depression and self-efficacy in people with diabetes mellitus. BACKGROUND: DSME is the main component of diabetes management which contributes to behavioural changes and the improvement of metabolic control and self-monitoring skills. Due to limited face-to-face access to healthcare services, social media has increasingly been used to deliver DSME for people with diabetes. However, there is a paucity of reviews addressing the effectiveness of using social media in delivering DSME. DESIGN: An integrative review was conducted based on Whittemore and Knafl's (2005) methodology. METHODS: The following databases were searched for relevant studies published between 2000 and 2020: Cumulative Index to Nursing and Allied Health Literature (CINAHL), MEDLINE, Cochrane Library, PsycINFO, EMBASE, EMCare and Google Scholar. The quality of the included studies was assessed using the Mixed Methods Appraisal Tool. The PRISMA checklist for systematic reviews was used. RESULTS: A total of 13 studies met the inclusion criteria and were included in this review. Facebook and WhatsApp were the most common social media platforms used to deliver DSME intervention. Nurses were the most frequent DSME providers. The duration and content of DSME in the reviewed studies varied. Consistent positive outcomes were found on glycaemic control, diabetic knowledge and self-efficacy. No studies considered the effect of DSME on HRQoL, anxiety and depression. CONCLUSIONS: Social media DSME can be effective in reducing HbA1c levels, increasing diabetic knowledge and self-efficacy. Further studies are needed to examine the effectiveness of using social media to deliver DSME intervention on HRQoL, anxiety and depression. RELEVANCE TO CLINICAL PRACTICE: This review provides nurses and healthcare professionals with evidence to support the use of social media to deliver DSME for people with diabetes. DSME delivered via social media supported by nurses would overcome limitations of face-to-face delivery such as geographical distance, travelling time, or other limited resources by patients 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%; - PE + TC + PSM: reduction in SBP by 2.14 mmHg (CrI -3.80 to -0.52) 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. 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.

OBJECTIVES: Achieving glycemic control is a great challenge for young patients with type 1 diabetes (T1D), especially during the transition from childhood to adulthood. As various smartphone apps have been developed to improve glycemic control in T1D, we performed a meta-analysis of randomized controlled trials to assess the effect of smartphone apps on glycemic control in young patients with T1D. METHODS: We systematically searched PubMed, Embase, and the Cochrane Library for randomized controlled trials comparing combined usual care and smartphone app treatment to usual care alone. This meta-analysis is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The primary outcomes were the weighted difference in means (WMD) of HbA1c change from baseline and the person-years incidence of mild hypoglycemia or severe hypoglycemia between intervention and control groups. We assessed pooled data by use of a random-effects model. RESULTS: Of 1,190 identified studies, nine were eligible and included in our analysis (N = 748 participants). Relative to the control, using smartphone apps yielded a non-significant reduction in glycated hemoglobin (HbA1c) (WMD = -0.26, 95% CI: -0.56 to 0.05; p = 0.10) and no increased frequency of mild hypoglycemia (WMD = 1.87, 95% CI: -1.52 to 5.27; p = 0.49) or severe hypoglycemia (WMD = -0.04, 95% CI: -0.35 to 0.27; p = 0.80). In further subgroup analysis, compared with the recording-style app group, the auxiliary-style app group exhibited a significant reduction in HbA1c (WMD = -0.83, 95% CI: -1.10 to -0.56, p < 0.001). CONCLUSION: The current pooled data analysis did not reveal a significant reduction in HbA1c in young patients with T1D undergoing treatment with smartphone apps and usual care in combination. However, auxiliary-style apps with insulin or carbo calculators were beneficial in reducing HbA1c.

AIMS: The rapidly growing number of adults with type 2 diabetes globally means the uses and benefits of digital health initiatives to enhance self-management of diabetes warrant review. This systematic qualitative literature review aimed to understand usability of digital health initiatives for adults with type 2 diabetes. METHODS: This systematic qualitative literature review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, the PRISMA 2020 Statement methodology. Three databases were used (SCOPUS, Medline, and CINAHL) to identify studies published from 2016 to 2021 that focused on experiences, evaluations, and usability of digital health initiatives aimed at helping adults with type 2 diabetes to self-manage their condition. RESULTS: From the 407 studies identified, 35 studies were assessed for eligibility with 10 studies included in the final synthesis. Five main themes emerged: (1) unmet emotional needs, (2) enhancing self-management, (3) desire for education, (4) usability/user-experience, and (5) risk of biomedical marker reductionism. CONCLUSIONS: This review identified 5 key themes for consideration to understand usability of digital health initiatives. If these unmet psychosocial needs of adults with type 2 diabetes are better addressed in digital health initiatives, enhanced daily self-management will lead to more optimal diabetes management which can increase overall health outcomes, reduce the risk of longer-term complications, enhance quality of life for type 2 diabetes and improve more widespread adoption of digital health initiatives.

OBJECTIVE: Diabetes mellitus (DM) is a global health issue with an increasing frequency across the world and is an important disease in which medication adherence is a priority component for disease management. Several interventions are implemented to increase medication adherence in patients with type 2 DM, and telehealth interventions have become widespread thanks to technological advancements. This meta-analysis aims at reviewing the telehealth interventions applied to patients with type 2 DM and examining their effects on medication adherence. METHODS: Relevant studies published in ScienceDirect, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL) and PubMed from 2000 to December 2022 were searched in this meta-analysis. Their methodological quality was assessed using the Modified Jadad scale. Total score for each study ranged from 0 (low quality) to 8 (high quality). Studies with four or more were of good quality. Standardized mean difference (SMD) and 95% confidence intervals (CI) were used for statistical analysis. Publication bias was assessed using the funnel plot and Egger regression test. Both subgroup analysis and meta-regression analysis were performed in the study. RESULTS: A total of 18 studies were analyzed in this meta-analysis. All studies scored 4 or above in their methodological quality assessment and were of good quality. The combined results have shown that telehealth interventions significantly increased medication adherence in the intervention group (SMD = 0.501; 95% CI 0.231-0.771; Z = 3.63, p < 0.001). Our subgroup analysis has revealed that HbA1c value, mean age, and duration of intervention significantly affected the study results. CONCLUSION: Telehealth interventions are an effective method to increase medication adherence in patients with type 2 DM. It is recommended that telehealth interventions be expanded in clinical practices and included in disease management.

BACKGROUND: Telemedicine holds a potential to strengthen self-management support outside health care settings in the everyday management of type 1 diabetes (T1D). However, existing effectiveness reviews are older or include a relatively narrow focus on specific definitions of telemedicine or included databases. OBJECTIVE: To conduct a systematic review of the effectiveness of telemedicine solutions versus any comparator on diabetes-related outcomes among people with T1D. METHODS: Studies including adults (≥18 years) with T1D published before October 14, 2020, were eligible. Primary outcome was glycated hemoglobin (HbA1c, %). The Cochrane Library, PubMed, EMBASE, and CINAHL were searched. Meta-analysis based on the mean difference in HbA1c% was used to pool effects. The Cochrane tool was applied to assess risk-of-bias, and the certainty of evidence was graded using the GRADE approach. RESULTS: A total of 22 studies were included (with 1615 participants). Treatment effect for HbA1c% favored telemedicine (mean difference of -0.26% [95% confidence interval:-0.37% to -0.15%]) with moderate effect certainty. Heterogeneity was moderate (I2 = 33.30%). Although not significant, secondary outcomes were all in favor of telemedicine except number of severe hypoglycemic events and diabetes knowledge, but the certainty of the evidence for those outcomes was all low or very low. DISCUSSION: Reducing average HbA1c% levels are important to combat the risk of diabetic complications and premature death. However, the evidence mostly consist of small studies with a relative short duration and the estimated pooled effect is smaller than could be expected from quality improvement strategies in general for diabetes management.

BACKGROUND: Individually designed interventions delivered through mobile health applications (mHealth apps) may be able to effectively support diabetes self-care. Our aim was to review and synthesize available evidence in the literature regarding perception of adults with type 1 diabetes on the features of mHealth apps that help promote diabetes self-care, as well as facilitators and barriers to their use. An additional aim was to review literature on changes in patient reported outcome measures (PROMs) in the same population while using mHealth apps for diabetes self-care. METHODS: Quantitative and qualitative studies focusing on adults aged 18Â years and over with type 1 diabetes in any context were included. A systematic literature search using selected databases was conducted. Data was synthesised using narrative synthesis. RESULTS: We found that features of mHealth apps designed to help promote and maintain diabetes self-care could be categorized into self-care data monitoring, app display, feedback & reminders, data entry, data sharing, and additional features. Factors affecting the use of mHealth apps reported in the literature were personal factors, app design or usability factors, privacy and safety factors, or socioeconomic factors. Quality of life and diabetes distress were the most commonly reported PROMs in the included studies. CONCLUSION: We are unable to reach a conclusive result due to the heterogeneity of the included studies as well as the limited number of studies reporting on these areas among adults with type 1 diabetes. We therefore recommend further large-scale studies looking into these areas that can ultimately improve mHealth app use in type 1 diabetes self-care.

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.

BACKGROUND: The prevalence of type 2 diabetes mellitus (T2DM) is increasing worldwide. Physical activity (PA) is an important aspect of self-care and first line management for T2DM. SMS text messaging can be used to support self-management in people with T2DM, but the effectiveness of mobile text message-based interventions in increasing PA is still unclear. OBJECTIVE: This study aims to assess the effectiveness of mobile phone messaging on PA in people with T2DM by summarizing and pooling the findings of previous literature. METHODS: A systematic review was conducted to accomplish this objective. Search sources included 5 bibliographic databases (MEDLINE, Cochrane Library, CINAHL, Web of Science, and Embase), the search engine Google Scholar (Google Inc), and backward and forward reference list checking of the included studies and relevant reviews. A total of 2 reviewers (MA and AA) independently carried out the study selection, data extraction, risk of bias assessment, and quality of evidence evaluation. The results of the included studies were synthesized narratively and statistically, as appropriate. RESULTS: We included 3.8% (6/151) of the retrieved studies. The results of individual studies were contradictory regarding the effectiveness of mobile text messaging on PA. However, a meta-analysis of the results of 5 studies showed no statistically significant effect (P=.16) of text messages on PA in comparison with no intervention. A meta-analysis of the findings of 2 studies showed a nonsignificant effect (P=.14) of text messages on glycemic control. Of the 541 studies, 2 (0.4%) found a nonsignificant effect of text messages on anthropometric measures (weight and BMI). CONCLUSIONS: We could not draw a definitive conclusion regarding the effectiveness of text messaging on PA, glycemic control, weight, or BMI among patients with T2MD, given the limited number of included studies and their high risk of bias. Therefore, there is a need for more high-quality primary studies.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) prevalence continues to increase among Hispanic/Latino adults. The purpose of this study was to explore and analyze literature on culturally tailored nutrition interventions to identify how to best implement a whole food plant-based (WFPB) culinary intervention to improve health outcomes for Hispanic/Latino adults at risk for developing or diagnosed with T2DM. METHODS: A methodological review was performed by searching PubMed, CINAHL Complete, PsycINFO, and Food Science and Technology Abstracts. Inclusion criteria consisted of peer-reviewed articles in English, from January 2009 to January 2020, using the search terms: "Hispanic adults or Latino adults", "culturally tailored or ethnic", "diabetes", "dietary or nutrition", "intervention", and "vegan or plant based". Studies included adults at risk for/diagnosed with T2DM. RESULTS: Of 1,474 articles retrieved, 15 met the inclusion criteria. Four main themes were identified: participant interest, feasibility of intervention, development and implementation of intervention, and impact of the intervention. CONCLUSION: Further research should focus on culturally tailored nutrition interventions and use of a WFPB diet to reduce risk for T2DM in Hispanic/Latino adults. Continued discussion should be patient- and community-centered to promote equity, health, and disease prevention through the use of culturally tailored methods and design, not only limited to curriculum and language.

AIM: Patient education is an essential component of the treatment of type 2 diabetes mellitus (T2DM). The present meta-analysis was aimed at verifying the efficacy of group-based versus individual education for self-management in patients with T2DM. DATA SYNTHESIS: A Medline and Embase search up to January 1st, 2021, was performed, including Randomized Controlled Trials (RCT) with duration>6 months, enrolling patients with T2DM and comparing individual-based with group-based educational programs. The primary outcome was endpoint HbA1c; secondary endpoints were lipid profile, body weight, blood pressure, patients' adherence/knowledge, and quality of life. The weighed difference in means (WMD) and Mantel-Haenzel Odds Ratio (MH-OR), with 95% Confidence Interval (CI), were calculated. We retrieved 14 RCT. No significant between-group difference in HbA1c (WMD -0.39[-0.89; 0.09] mmol/mol, p = 0.11) was observed. At metaregression analyses, longer trial duration, higher baseline mean age and duration of diabetes, and lower baseline HbA1c were correlated with greater efficacy of group-based programs in reducing HbA1c. When analyzed separately, trials excluding insulin-treated patients showed a significant reduction of HbA1c in favor of group education. CONCLUSIONS: In patients with T2DM, group education has similar efficacy as individual education on glucose control. Group programs are associated with an improved quality of life and patients' knowledge.

BACKGROUND: Studies have shown the existence of health concordance between patients with type 2 diabetes mellitus (T2DM) and their spouses, and also that spouses could influence the effect of self-management, benefiting patients' health. However, these studies are heterogeneous and the evidence is inconclusive. OBJECTIVE: To synthesize evidence from published randomized controlled trials: the interventional effects and the quality of study performance, also to identify the research gap and the directions for future studies. METHODS: We performed the scoping review by following the PRISMA-ScR guidance. We searched and examined the reports from MEDLINE, EMBASE, PsychInfo, CINAHL Plus by the pre-specified criteria. Key characteristics and information of eligible reports were extracted, analysed and synthesized comprehensively, and the results were presented in the form of words and diagrams. RESULTS: We identified 5 reports from 4 studies out of 3479 records included. Qualified studies indicated a positive effect of couple-based interventions on couples' distress. Insufficient evidence on physiological health or health behaviours was identified owing to the small number of included studies and inconsistent assessment outcomes. The methodological quality across these studies was generally low due to inadequate reporting of study process and substantial biases. CONCLUSIONS: Couple-based interventions for patients with T2DM showed small effects on the couple's distress while the effects of other outcomes were inconclusive. Future studies should strengthen methodologies by using standard measures of core diabetic outcomes, including detailed assessments of implementation process, and taking a dyadic approach to systematically examine the effects.

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.

AIM: This review assessed the effectiveness of interventions using a goal-setting approach on glycaemic control for people diagnosed with prediabetes or type 2 diabetes. DESIGN: A systematic review guided by the Joanna Briggs Institute methodology for conducting systematic reviews of primary research studies was conducted. DATA SOURCES: Randomized controlled trials and experimental studies with a minimum follow-up period of 6 months were considered for inclusion. The primary outcome was change in glycaemic control as measured by glycated haemoglobin (%) and/or fasting plasma glucose (mg/dl). A systematic search of seven electronic databases was completed in October 2020. REVIEW METHODS: Papers meeting the inclusion criteria were critically appraised using the Joanna Briggs Institute tools for critical appraisal followed by data extraction. A Grading of Recommendations Assessment, Development and Evaluation assessment was conducted to assess the overall certainty of the evidence. Fixed-effect meta-analyses were completed to demonstrate the mean effect for each outcome of interest. RESULTS: Twenty one studies were included in this review. Goal setting was more effective than usual care for glycaemic control in prediabetes at 6 months and at 12 months for fasting plasma glucose (mg/dl) and glycated haemoglobin (%). Goal setting was more effective than usual care for glycaemic control in type 2 diabetes for fasting plasma glucose (mg/dl) at 6 months, fasting plasma glucose (mg/dl) at 12 months, glycated haemoglobin (%) at 6 months and glycated haemoglobin (%) at 12 months. CONCLUSION: The evidence suggests goal setting is effective in supporting people to achieve glycaemic targets in prediabetes and type 2 diabetes.

PURPOSE: To assess the diagnostic accuracy measures such as sensitivity and specificity of smartphone-based artificial intelligence (AI) approaches in the detection of diabetic retinopathy (DR). METHODS: A literature search of the EMBASE and MEDLINE databases (up to March 2020) was conducted. Only studies using both smartphone-based cameras and AI software for image analysis were included. The main outcome measures were pooled sensitivity and specificity, diagnostic odds ratios and relative risk of smartphone-based AI approaches in detecting DR (of all types), and referable DR (RDR) (moderate nonproliferative retinopathy or worse and/or the presence of diabetic macular edema). RESULTS: Smartphone-based AI has a pooled sensitivity of 89.5% (95% confidence interval [CI]: 82.3%-94.0%) and pooled specificity of 92.4% (95% CI: 86.4%-95.9%) in detecting DR. For referable disease, sensitivity is 97.9% (95% CI: 92.6%-99.4%), and the pooled specificity is 85.9% (95% CI: 76.5%-91.9%). The technology is better at correctly identifying referable retinopathy. CONCLUSIONS: The smartphone-based AI programs demonstrate high diagnostic accuracy for the detection of DR and RDR and are potentially viable substitutes for conventional diabetic screening approaches. Further, high-quality randomized controlled trials are required to establish the effectiveness of this approach in different populations.

PURPOSE: This study aimed to identify the characteristics of interventions employed to promote behavior change in people with type 2 diabetes mellitus (T2DM) and their impact on disease self-management and glycated hemoglobin (A1c). METHODS: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to guide the protocol development for this systematic review. Randomized controlled clinical trials which compared behavior change interventions to controls in adults with T2DM and investigated disease self-management and glycated hemoglobin (A1c) measured by validated methods were eligible for this study. The risk of bias and quality of evidence was assessed respectively by Cochrane's tool and grading of recommendations, assessment, development, and evaluation (GRADE). RESULTS: A total of 27 studies were included involving 4464 participants. Behavior change was mainly promoted by education sessions on diabetes care delivered face-to-face, monthly, or every other month, lasting more than 60 min, involving blood glucose monitoring, healthy eating, exercise, and medication. Four studies showed significant improvement in both disease self-management and A1c. The risk of bias was classified as high in most studies. A meta-analysis could not be performed for A1c and self-management due to the high differences in intervention parameters (delivery mode, number, duration, and frequency) and self-management assessments. CONCLUSION: Low evidence of improvement in disease self-management and A1c considering only validated assessment methods were found for behavior change interventions, mainly promoted by education sessions on diabetes care. The quality of studies and probably the differences in intervention protocols contributed to this finding.

INTRODUCTION: This scoping literature review explored the characteristics and behaviours of a subset of Australia's older population: 'grey nomads', many who live and travel with type 1 or 2 diabetes mellitus. Grey nomads are people aged more than 55 years, who travel in caravans or motorhomes for extended periods of time around rural and remote areas of Australia. Grey nomads are challenging the established view of ageing in Australia by their lifestyle choices, which include social and economic contribution, independence and furthering of personal fulfilment. However, some evidence suggests that grey nomads experience health issues while in rural locations, which exerts a significant burden on already under-resourced Australian rural health services. This review seeks knowledge on grey nomads' self-management of diabetes while travelling, with the aim of understanding their experiences and identifying support services and strategies that would facilitate improved self-management. Furthermore, this review seeks knowledge of how Australia's rural and remote health services support the nomads with diabetes and the influence of this burgeoning population on such services. METHODS: A scoping review methodology provided the methods to map the current evidence concerned with this broad and complex topic. A systematic six-step framework was adopted: identifying the research question; identifying relevant literature; selecting studies; charting the findings; collating, summarising and reporting results; and a final consultation. RESULTS: The grey nomads in this review travelled long distances through the often-harsh Australian countryside where they sought, privacy, isolation, self-sufficiency and a closeness with nature. Although their motivations included life- and health-enhancing experiences, most grey nomads travelled with at least one chronic health condition, which they did not consider as a barrier to adopting a grey nomad lifestyle. However, many were under-prepared for their health needs when in rural or remote Australia. Specific literature concerning grey nomads and self-management of diabetes was not found but salient aspects of diabetes self-management were identified and included a well-developed relationship with their diabetes healthcare provider; a relationship that relied on ongoing communication and support. When travelling, the ability to form or sustain supportive relationships with local health care providers was limited due to sparseness of rural services and the perceived transient nature of the relationship. Increasingly, grey nomads utilised digital technology via telemedicine or social media sites for information and advice on health issues. The local pharmacies in rural and remote locations were also identified as sources of support and services. CONCLUSION: The literature showed that the grey nomad population had a similar distribution of chronic illness, including diabetes, to that of the general Australian population, but very little was published about how they self-manage conditions when in remote locations where healthcare services were limited. The emerging roles of digital technology and development opportunities for pharmacists offer new and innovative avenues to support grey nomads with diabetes while travelling in rural and remote Australia.