Managing the space between visits: a randomized trial of disease management for diabetes in a community health center

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.

Clinical and cost-effectiveness of telemedicine among patients with type 2 diabetes in primary care: A systematic review and meta-analysis

AIMS

Telemedicine has been promoted as an effective way of managing type-2 diabetes (T2DM) in primary care. However, the effectiveness of telemedicine is unclear. We investigated the clinical and cost-effectiveness of different telemedicine interventions for people with T2DM, compared to usual care.

METHODS

We searched Medline, Embase, Cochrane, CINHAL, ProQuest and EconLit for randomized controlled trials (RCTs) that examined the effectiveness of telemedicine interventions on clinical outcomes (HbA1c, body mass index [BMI], weight, diastolic blood pressure [DBP], systolic blood pressure [SBP], fasting blood glucose, high-density lipoprotein [HDL] cholesterol, low-density lipoprotein [LDL] cholesterol, total cholesterol and triglyceride) in adults with T2DM, published in English from inception until 31 December 2022. Meta-analyses were conducted using random-effects models pooling mean differences, heterogeneity was quantified using the I2 statistic. Publication bias was assessed using funnel plots, Egger tests and trim and fill. Subgroup analyses included type of telemedicine intervention, telemedicine mode of delivery and type of healthcare professionals. This study was registered with PROSPERO, CRD 42022375128.

RESULTS

Of the 4093 records identified, 21 RCTs, 10,732 participants from seven regions, were included. Reported interventions included telephone (k = 16 studies), internet-based (k = 2), videoconference (k = 2) and telephone and emails (k = 1). We observed no statistically significant differences between synchronous or asynchronous telemedicine interventions compared to usual care for HbA1c (-0.08% (-0.88 mmol/mol); 95% CI: -0.18, 0.02), BMI (0.51 kg/m2; 95% CI: -0.21, 1.22), SBP (-1.48 mmHg; 95% CI: -3.22, 0.26), DBP (3.23 mmHg; 95% CI: -0.89, 7.34), HDL-cholesterol (0.01 mmol/L; 95% CI: -0.03, 0.05), LDL-cholesterol (0.08 mmol/L; 95% CI: -0.22, 0.37), triglycerides (-0.08 mmol/L, 95% CI: -0.31, -0.15), total cholesterol (-0.10 mmol/L; 95% CI: -0.25, 0.04) and weight (-0.50 kg; 95% CI: -1.21, 0.21).

CONCLUSIONS

Telemedicine was as effective as usual care in improving health outcomes of people with T2DM. They can provide a safe solution in times of rising demands for primary healthcare services, or in extreme events, like a global pandemic. More high-quality RCTs are needed on the cost evaluation of telemedicine.

Telephone calls and glycemic control in type 2 diabetes: A PRISMA-compliant systematic review and meta-analysis of randomized clinical trials

AIMS

In-depth and updated systematic reviews evaluating telephone calls in type 2 diabetes (T2DM) management are missing. This study aimed to assess the effect of this intervention on glycemic control in T2DM patients when compared with usual care.

METHODS

We systematically searched for randomized controlled trials (RCT) on T2DM using Medline, Embase, Cochrane Central Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and LILACS, up to March 2021. The Risk of Bias 2.0 (Rob 2.0) tool and GRADE were used for the quality evaluation. The intervention effect was estimated by the change in glycated hemoglobin (HbA1c). PROSPERO registry CRD42020204519.

RESULTS

3545 references were reviewed and 32 were included (8598 patients). Telephone calls, all approaching education, improved HbA1c by 0.33% [95% CI, -0.48% to -0.18%; I2 = 78%; p < 0.0001] compared to usual care. A greater improvement was found when the intervention included pharmacologic modification (-0.82%, 95% CI, -1.42% to -0.22%; I2 = 92%) and when it was applied by nurses (-0.53%, 95% CI, -0.86% to -0.2%; I2 = 87%). Meta-regression showed no relationship between DM duration and HbA1c changes.

CONCLUSION

The telephone call intervention provided a benefit regarding T2DM glycemic control, especially if provided by nurses, or if associated with patient education and pharmacological treatment modification.

Telemedicine Implementation for Safety Net Populations: A Systematic Review

Background: Telemedicine systems were rapidly implemented in response to COVID-19. However, little is known about their effectiveness, acceptability, and sustainability for safety net populations. This study systematically reviewed primary care telemedicine implementation and effectiveness in safety net settings. Methods: We searched PubMed for peer-reviewed articles on telemedicine implementation from 2013 to 2021. The search was done between June and December 2021. Included articles focused on health care organizations that primarily serve low-income and/or rural populations in the United States. We screened 244 articles from an initial search of 343 articles and extracted and analyzed data from N = 45 articles. Results: Nine (20%) of 45 articles were randomized controlled trials. N = 22 reported findings for at least one marginalized group (i.e., racial/ethnic minority, 65 years+, limited English proficiency). Only n = 19 (42%) included African American/Black patients in demographics descriptions, n = 14 (31%) LatinX/Hispanic patients, n = 4 (9%) Asian patients, n = 4 (9%) patients aged 65+ years, and n = 4 (9%) patients with limited English proficiency. Results show telemedicine can provide high-quality primary care that is more accessible and affordable. Fifteen studies assessed barriers and facilitators to telemedicine implementation. Common barriers were billing/administrative workflow disruption (n = 9, 20%), broadband access/quality (n = 5, 11%), and patient preference for in-person care (n = 4, 9%). Facilitators included efficiency gains (n = 6, 13%), patient acceptance (n = 3, 7%), and enhanced access (n = 3, 7%). Conclusions: Telemedicine is an acceptable care modality to deliver primary care in safety net settings. Future studies should compare telemedicine and in-person care quality and test strategies to improve telemedicine implementation in safety net settings.

Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities: A Systematic Review and Meta-Analysis

Importance

Hypertension remains a leading factor associated with cardiovascular disease, and demographic and socioeconomic disparities in blood pressure (BP) control persist. While advances in digital health technologies have increased individuals' access to care for hypertension, few studies have analyzed the use of digital health interventions in vulnerable populations.

Objective

To assess the association between digital health interventions and changes in BP and to characterize tailored strategies for populations experiencing health disparities.

Data Sources

In this systematic review and meta-analysis, a systematic search identified studies evaluating digital health interventions for BP management in the Cochrane Library, Ovid Embase, Google Scholar, Ovid MEDLINE, PubMed, Scopus, and Web of Science databases from inception until October 30, 2023.

Study Selection

Included studies were randomized clinical trials or cohort studies that investigated digital health interventions for managing hypertension in adults; presented change in systolic BP (SBP) or baseline and follow-up SBP levels; and emphasized social determinants of health and/or health disparities, including a focus on marginalized populations that have historically been underserved or digital health interventions that were culturally or linguistically tailored to a population with health disparities. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline.

Data Extraction and Synthesis

Two reviewers extracted and verified data. Mean differences in BP between treatment and control groups were analyzed using a random-effects model.

Main Outcomes and Measures

Primary outcomes included mean differences (95% CIs) in SBP and diastolic BP (DBP) from baseline to 6 and 12 months of follow-up between digital health intervention and control groups. Shorter- and longer-term follow-up durations were also assessed, and sensitivity analyses accounted for baseline BP levels.

Results

A total of 28 studies (representing 8257 participants) were included (overall mean participant age, 57.4 years [range, 46-71 years]; 4962 [60.1%], female). Most studies examined multicomponent digital health interventions incorporating remote BP monitoring (18 [64.3%]), community health workers or skilled nurses (13 [46.4%]), and/or cultural tailoring (21 [75.0%]). Sociodemographic characteristics were similar between intervention and control groups. Between the intervention and control groups, there were statistically significant mean differences in SBP at 6 months (-4.24 mm Hg; 95% CI, -7.33 to -1.14 mm Hg; P = .01) and SBP changes at 12 months (-4.30 mm Hg; 95% CI, -8.38 to -0.23 mm Hg; P = .04). Few studies (4 [14.3%]) reported BP changes and hypertension control beyond 1 year.

Conclusions and Relevance

In this systematic review and meta-analysis of digital health interventions for hypertension management in populations experiencing health disparities, BP reductions were greater in the intervention groups compared with the standard care groups. The findings suggest that tailored initiatives that leverage digital health may have the potential to advance equity in hypertension outcomes.

Effectiveness of self-management interventions for long-term conditions in people experiencing socio-economic deprivation in high-income countries: a systematic review and meta-analysis

BACKGROUND

Long-term conditions (LTCs) are prevalent in socio-economically deprived populations. Self-management interventions can improve health outcomes, but socio-economically deprived groups have lower participation in them, with potentially lower effectiveness. This review explored whether self-management interventions delivered to people experiencing socio-economic deprivation improve outcomes.

METHODS

We searched databases up to November 2022 for randomized trials. We screened, extracted data and assessed the quality of these studies using Cochrane Risk of Bias 2 (RoB2). We narratively synthesized all studies and performed a meta-analysis on eligible articles. We assessed the certainty of evidence using GRADE for articles included in the meta-analysis.

RESULTS

The 51 studies included in this review had mixed findings. For the diabetes meta-analysis, there was a statistically significant pooled reduction in haemoglobin A1c (-0.29%). We had moderate certainty in the evidence. Thirty-eight of the study interventions had specific tailoring for socio-economically deprived populations, including adaptions for low literacy and financial incentives. Each intervention had an average of four self-management components.

CONCLUSIONS

Self-management interventions for socio-economically deprived populations show promise, though more evidence is needed. Our review suggests that the number of self-management components may not be important. With the increasing emphasis on self-management, to avoid exacerbating health inequalities, interventions should include tailoring for socio-economically deprived individuals.

Electronic Health Interventions for Type 2 Diabetes and Obesity in Hispanic or Latino Adults: A Systematic Review of English and Spanish Studies

Objective

The objective of this study was to synthesize English and Spanish literature to determine whether electronic health interventions (EHIs) such as telehealth, telemedicine, digital health, and mobile health (mHealth) improve A1C, blood glucose, BMI, and/or weight among Hispanic/Latino adults with type 2 diabetes or overweight/obesity in the Americas.

Design and methods

Searches were conducted in June 2021 using the Scientific Electronic Library Online, Cumulative Index of Nursing and Allied Health Literature, PubMed, and PsycInfo literature databases. Studies were identified that investigated the effect of an EHI on A1C, blood glucose, BMI, or weight in populations that were ≥12% Hispanic/Latino adults with type 2 diabetes or overweight/obesity, were conducted in the Americas, and were published in English or Spanish. Study quality was determined using the Quality Index Score. Data were extracted and synthesized, and themes were identified.

Results

Twenty-five studies met inclusion criteria, including 23 in English (from the United States) and two in Spanish (from Chile). A total of 22 investigated type 2 diabetes, and three investigated overweight/obesity. The studies encompassed 6,230 participants, including 3,413 Hispanic/Latino adults. Sixty-three percent of studies demonstrated significant improvements in A1C or blood glucose and 67% in weight. Thirteen studies offered an EHI in both English and Spanish, and six offered the intervention in either English or Spanish alone. All EHIs involving mHealth exclusively and most (90%) involving more than one electronic modality demonstrated a higher number of significant findings compared with those having only one EHI modality, especially telehealth (44.4%). EHIs lasting ≤12 months had more significant findings (72.7%) than those lasting >12 months (50%). Six studies had industry-related funding, with 83.3% of those demonstrating significant improvements in outcomes.

Conclusion

EHIs improved A1C and weight in adults (n = 4,355), including 45.5% Hispanic/Latino adults. mHealth and EHIs using more than one electronic modality and those lasting ≤12 months were especially effective. However, overall study quality was modest. Future research should be conducted in Spanish-speaking countries in Latin America and should compare the effectiveness of different EHI modalities.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

TRIAL REGISTRATION

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

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.

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.

Effectiveness of synchronous teleconsultation for patients with type 2 diabetes mellitus: a systematic review and meta-analysis

The popularity of teleconsultation during the COVID-19 pandemic enabled increased accessibility for individuals with type 2 diabetes mellitus (T2DM). However, previous studies did not distinguish between synchronous and asynchronous teleconsultation. We evaluated the effectiveness of synchronous teleconsultation for patients with T2DM. We searched Medline, Embase, Cochrane Central Register of Controlled Trials, Cochrane Library and Cochrane Database of Systematic Reviews, ClinicalTrials.gov, and the WHO International Clinical Trials Registry Platform databases from inception to July 2021. All included studies were randomized controlled trials of synchronous teleconsultation for adults with T2DM compared with usual care. Reviewers independently extracted data and used the Cochrane tool to evaluate risk of bias. Meta-analyses were conducted using random-effects models. A pooled mean difference for both HbA1c (%) and body mass index (BMI) (kg/m²), systolic blood pressure (SBP) (mm Hg), diastolic blood pressure (DBP) (mm Hg), and low density lipoprotein cholesterol (LDL-cholesterol) (mg/dL) were calculated. Patient-reported outcomes, such as depression, medication adherence, and quality of life, were also assessed. A total of 9807 abstracts were identified and 27 trials were included. Synchronous teleconsultation significantly resulted in greater decrease in HbA1c compared with usual care group (n=8746, 0.35, 95% CI 0.20 to 0.49, I²=73%, p<0.001). No significant effects on BMI (n=699, 0.08 kg/m², 95% CI -0.54 to 0.69), SBP (n=5512, 1.32 mm Hg, 95% CI -0.09 to 2.73), DBP (n=2898, 0.17 mm Hg, 95% CI -1.18 to 1.52), or LDL-cholesterol (n=5276, 3.21 mg/dL, 95% CI -1.75 to 8.17) were found. The effect of teleconsultation in improving patient-reported outcomes was uncertain. Thus, synchronous teleconsultation could be an alternative to usual care. Systematic review registration is PROSPERO CRD42021267019.

Impact of telehealth on the current and future practice of lipidology: a scoping review

Telehealth services have been implemented to deliver care for patients living with many chronic conditions and have expanded greatly during the COVID-19 pandemic. Little is known about the current or future impacts of telehealth on lipid management practices. The PubMed database was searched from inception to June 25, 2021, with the keywords "lipids or cholesterol" and "telehealth," which yielded 376 published articles. Telehealth was defined as a synchronous visit between a patient and clinician that replaced an in-office appointment. Studies that solely used remote monitoring, mobile health technologies, or callbacks of results, were excluded. Articles must have measured lipid values. Review articles and protocol papers were not included. After evaluation, 128 abstracts were included for full text evaluation, with 55 full-text articles eventually included. Of the articles, 29 were randomized clinical trials, 15 were pre-post evaluations, and 11 were other study designs. Telehealth had positive to neutral impacts on lipid management. Reported facilitators include easier implementation of multidisciplinary approaches to care, and utilization of patient-centered programs. Reported barriers to telehealth services include technological barriers, such as various skill levels with technology; systems barriers, such as cost and reimbursement; patient-related barriers, including patient non-adherence; and clinician-related barriers, such as difficulty standardizing care. Clinicians reported improved satisfaction among patients but had mixed feelings regarding their ability to deliver quality care. Telemedicine use to provide care for individuals with lipid conditions has expanded during the COVID-19 pandemic, but more research is needed to determine its potential as a sustainable tool for lipid management.

A Meta-Analysis of the Effectiveness of Telemedicine in Glycemic Management among Patients with Type 2 Diabetes in Primary Care

Introduction: Telemedicine interventions are gradually being used in primary health care to help patients with type 2 diabetes receive ongoing medical guidance. The purpose of this study was to analyze the effectiveness of using telemedicine in primary health care for the management of patients with type 2 diabetes. Methods: A systematic search was conducted from database inception to August 2021 in nine databases, including PubMed, Web of Science, Cochrane Library, EMBASE, EBSCO, CNKI, Wanfang Data, VIP, and CBM. Data extraction and quality assessment were performed for studies that met the inclusion criteria. The meta-analysis was performed using Review Manager 5.4 (Cochrane) and Stata v.16.0SE (College Station, TX, USA). Results: A total of 32 articles were included in this study. Analysis showed a reduction in glycated hemoglobin, fasting glucose, and postprandial glucose after the telemedicine intervention. Systolic blood pressure and self-efficacy improved significantly, but there was no significant improvement in weight, lipid metabolism, or diabetes awareness. Subgroup analysis based on the duration of intervention showed significant improvement in glycated hemoglobin at 6 months of intervention. Conclusions: Telemedicine interventions may help patients with type 2 diabetes to effectively control blood glucose and improve self-management in primary health care. There is only moderate benefit, and the benefit may not be sustained beyond 6 months. However, the evidence for the improvement in lipid metabolism is insufficient and further studies are needed.

The Effectiveness of Physical Activity-Promoting Web- and Mobile-Based Distance Weight Loss Interventions on Body Composition in Rehabilitation Settings: Systematic Review, Meta-analysis, and Meta-Regression Analysis

BACKGROUND

Overweight and obesity are major problems worldwide, and they lead to an increased risk for several diseases. The use of technology in the treatment of obesity is promising, but in the existing literature, there is considerable uncertainty regarding its efficacy. In this review, we included web- and mobile-based weight loss interventions that were implemented remotely in rehabilitation settings.

OBJECTIVE

The aim of this systematic review is to study the effectiveness of physical activity-promoting web- and mobile-based distance weight loss interventions in rehabilitation settings on body composition in comparison with control groups that did not use technology.

METHODS

Studies were searched from 9 databases. The inclusion criteria were as follows: population: age 18-65 years; intervention: physical activity-promoting web- and mobile-based distance weight loss interventions; comparison: control groups without the use of technology; outcome: changes in BMI, waist circumference, or body fat percentage; study design: randomized controlled trial. The quality of the studies was assessed by 2 researchers. Meta-analysis was performed, and we also conducted a meta-regression analysis to evaluate the factors associated with the changes in body composition outcomes if statistical heterogeneity was observed.

RESULTS

The meta-analysis included 30 studies. The mean quality of the studies was 7 of 13 (SD 1.9; range 3-10). A statistically significant difference was observed in BMI (mean difference [MD] 0.83, 95% CI 0.51-1.15 kg/m²; P<.001), waist circumference (MD 2.45, 95% CI 1.83-3.07 cm; P<.001), and body fat percentage (MD 1.07%, 95% CI 0.74%-1.41%; P<.001) in favor of the weight loss groups using web- or mobile-based interventions. Meta-regression analyses found an association between personal feedback and BMI (P=.04), but other factors did not play a role in explaining statistical heterogeneity.

CONCLUSIONS

Web- and mobile-based distance weight loss interventions significantly reduced BMI, waist circumference, and body fat percentage. Future studies should focus on the comparability of the intervention content. Future studies are needed to better understand weight loss and identify which components are essential in achieving it.

TRIAL REGISTRATION

PROSPERO CRD42016035831; https://tinyurl.com/7c93tvd4.

Towards a better understanding of self-management interventions in type 2 diabetes: A meta-regression analysis

AIMS

Attributes that operationally conceptualize diabetes self-management education (DSME) interventions have never been studied previously to assess their impact on relevant outcomes of interest in people with type 2 diabetes (T2D). The aim of this study was to determine the impact of existing interventions classified by their delivery of skills or information related attributes on immediate (knowledge), intermediate (physical activity), post-intermediate (HbA1c), and long-term (quality of life) outcomes in people with T2D.

METHODS

PubMed, Embase, PsycINFO, and Cochrane Library/Cochrane CENTRAL as well as the grey literature were searched to identify interventional studies that examined the impact of DSME interventions on the four different outcomes. Eligible studies were selected and appraised independently by two reviewers. A meta-regression analysis was performed to determine the impact of delivery of the skills- and information-related attributes on the chosen outcomes.

RESULTS

142 studies (n = 25,511 participants) provided data, of which 39 studies (n = 5278) reported on knowledge, 39 studies (n = 8323) on physical activity, 99 studies (n = 17,178) on HbA1c and 24 studies (n = 5147) on quality of life outcomes. Meta-regression analyses demonstrated that skills-related attributes had an estimated effect suggesting improvement in knowledge (SMD [standardized mean difference] increase of 0.80; P = 0.025) and that information-related attributes had an estimated effect suggesting improvement in quality of life (SMD increase of 0.96; P = 0.405). Skill- and information-related attributes did not have an estimated effect suggesting improvement in physical activity or in HbA1c.

CONCLUSIONS

The study findings demonstrate that the skills and information related attributes contribute to different outcomes for people with T2D. This study provides, for the first time, preliminary evidence for differential association of the individual DSME attributes with different levels of outcome.

A Systematic Review of Community Health Center Based Interventions for People with Diabetes

Community health centers (CHCs) focus on serving socioeconomically disadvantaged populations with heightened chronic disease burden, making CHCs an ideal setting for implementing diabetes care programs that target vulnerable populations. We aimed to synthesize evidence concerning the effects of CHC interventions in people with diabetes. To do this, four electronic databases were searched, including PubMed, EMBASE, CINAHL, and Scopus, and hand searches of reference collections were undertaken to identify intervention trials published in English. We screened 892 unique titles and abstracts. Two reviewers then independently evaluated 221 full-text articles. We discovered 29 articles met our eligibility criteria for inclusion. We found 27 unique studies with two companion articles. Seventeen studies were randomized controlled trials and the majority had a higher proportion of female and racial/ethnic minorities in the study sample. CHC interventions often involved either one-on-one or group education sessions supplemented by a phone follow-up that were delivered by health providers, nutritionists, or community health workers. CHC interventions using education sessions combined with follow up via phone generally resulted in significant improvements in hemoglobin A1C, while sole telephone-based education studies showed no significant improvements. CHC interventions had no significant effects on physical activity in all six studies that examined the outcome. Overall, we found that CHC interventions were in general effective in improving glucose control when using face-to-face interactions in low-income, underserved, and racial and ethnic minority patients with diabetes. Evidence was limited, however, in regards to other outcomes which suggests the need for continued evaluations of CHC intervention models.

Interventions for self-management of type 2 diabetes: An integrative review

BACKGROUND

Type 2 diabetes mellitus has been identified as one of the most challenging chronic illnesses to manage. Since the management of diabetes is mainly accomplished by patients and families, self-management has become the mainstay of diabetes care. However, a significant proportion of patients fail to engage in adequate self-management. A priority research question is how do interventions affect the self-management behaviors of persons with Type 2 diabetes?

PURPOSE/OBJECTIVES

The purpose of this integrative review is to provide a summary and critique of interventions that support diabetes self-management in the patient with Type II diabetes mellitus.

DESIGN

An integrative review design, with a comprehensive methodological approach of reviews, allowing inclusion of experimental and non-experimental studies.

PROCEDURES

A comprehensive search was conducted via Ebscohost using databases of Academic Search Complete, CINAHL, Health Source: Nursing/Academic Edition, MEDLINE, PsycArtiCLES, and PsycInfo. The final number of papers used for this review were: motivational interviewing (6), peer support/coaching (10), problem solving therapy (3), technology-based interventions (30), lifestyle modification programs (7), patient education (11), mindfulness (3), and cognitive behavioral therapy (5).

RESULTS

Studies were examined from seventeen countries including a broad range of cultures and ethnicities. While interventions have shown mixed results in all interventional categories, many studies do support small to modest improvements in physiologic, behavioral, and psychological outcome measures. Considerable heterogeneity of interventions exists. The most commonly reported physiologic measure was HbA1c level. Outcome measures were collected mostly at 6 and 12 months. Duration of most research was limited to one year.

CONCLUSIONS

Research exploring the impact of interventions for self-management has made major contributions to the care of persons with type 2 diabetes, from offering suggestions for improving care, to stimulating new questions for research. However, implications for clinical practice remain inconclusive, and limitations in existing research suggest caution in interpreting results of studies.

Assessing the effectiveness of a goal-setting session as part of a structured group self-management education programme for people with type 2 diabetes

OBJECTIVES

To measure the number of people who have identified a behaviour change goal and completed an action-plan to meet their goal on completion of a diabetes self-management education programme (DSME) and level of success in sustaining their action-plan. The DSME people attended was Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (DESMOND).

METHODS

Copies of action-plans were collected from participants. Postal questionnaires were sent to participants one week and three months following DESMOND to assess factors associated with setting and sustaining action-plans.

RESULTS

92% (253/275) of participants completed an action-plan. Reducing weight was the area most targeted. Physical activity was the most common goal. 68% (187/275) returned a three month questionnaire. 96% indicated they were still working on their action plan, with 87% reporting they were always/usually meeting their action-plan. 22% said they had discussed their goal with a health care professional (HCP) following DESMOND.

CONCLUSIONS

Goal-setting as part of a DSME can lead to behaviour change.

PRACTICE IMPLICATIONS

Goal-setting as part of a DSME enables participants to set and attain behaviour change goals. Informing HCPs of a person's action-plan following a DSME may further support a person undertaking behaviour change.

Quality improvement strategies at primary care level to reduce inequalities in diabetes care: an equity-oriented systematic review

BACKGROUND

There is evidence that disparities exist in diabetes prevalence, access to diabetes care, diabetes-related complications, and the quality of diabetes care. A wide range of interventions has been implemented and evaluated to improve diabetes care. We aimed to review trials of quality improvement (QI) interventions aimed to reduce health inequities among people with diabetes in primary care and to explore the extent to which experimental studies addressed and reported equity issues.

METHODS

Pubmed, EMBASE, CINAHL, and the Cochrane Library were searched to identify randomized controlled studies published between January 2005 and May 2016. We adopted the PROGRESS Plus framework, as a tool to explore differential effects of QI interventions across sociodemographic and economic factors.

RESULTS

From 1903 references fifty-eight randomized trials met the inclusion criteria (with 17.786 participants), mostly carried out in USA. The methodological quality was good for all studies. Almost all studies reported the age, gender/sex and race distribution of study participants. The majority of trials additionally used at least one further PROGRESS-Plus factor at baseline, with education being the most commonly used, followed by income (55%). Large variation was observed between these studies for type of interventions, target populations, and outcomes evaluated. Few studies examined differential intervention effects by PROGRESS-plus factors. Existing evidence suggests that some QI intervention delivered in primary care can improve diabetes-related health outcomes in social disadvantaged population subgroups such as ethnic minorities. However, we found very few studies comparing health outcomes between population subgroups and reporting differential effect estimates of QI interventions.

CONCLUSIONS

This review provides evidence that QI interventions for people with diabetes is feasible to implement and highly acceptable. However, more research is needed to understand their effective components as well as the adoption of an equity-oriented approach in conducting primary studies. Moreover, a wider variety of socio-economic characteristics such as social capital, place of residence, occupation, education, and religion should be addressed.

The effectiveness of telemedicine on body mass index: A systematic review and meta-analysis

OBJECT

The purpose of this study was to evaluate the clinical effectiveness of telemedicine on changes in body mass index for overweight and obese people as well as for diabetes and hypertension patients.

METHODS

A systematic review of articles published before 31 August 2014, was conducted using searches of Medline, Cochrane Library, EMBASE, and CINAHL Plus. The inclusion criteria were randomised controlled trials that compared telemedicine interventions with usual care or standard treatment in adults and reported a change in body mass index. A meta-analysis was conducted for eligible studies, and the primary outcome was a change in body mass index. Subgroup analysis was performed for the type of telemedicine, main purpose of intervention, and length of intervention.

RESULTS

Twenty-five randomised controlled trials comprising 6253 people were included in the qualitative and quantitative analyses. The length of intervention ranged from nine weeks to two years. The meta-analysis revealed significant differences in body mass index changes (pooled difference in means = -0.49, 95% confidence interval -0.63 to -0.34, p < 0.001) between the telemedicine and control groups. The subgroup analyses found that either Internet-based or telephone-based intervention was associated with greater changes in body mass index than in controls. Telemedicine intervention was effective in improving body mass index whether it was used for diabetes control, hypertension control, weight loss, or increasing physical activity and was also effective for people with and without diabetes or hypertension. However, only interventions with a duration ≥ 6 months significantly decreased body mass index compared to controls.

CONCLUSION

Both patients with chronic disease and overweight/obese people could benefit from telemedicine interventions. We suggest that an effective telemedicine approach should be longer than six months and emphasise the importance of post-interventional follow-ups.

How can clinical practices pragmatically increase physical activity for patients with type 2 diabetes? A systematic review

Although regular physical activity (PA) is a cornerstone of treatment for type 2 diabetes (T2D), most adults with T2D are sedentary. Randomized controlled trials (RCTs) have proven the effectiveness of PA behavioral interventions for adults with T2D but have rarely been conducted in healthcare settings. We sought to identify PA interventions that are effective and practical to implement in clinical practice settings. Our first aim was to use the valid Pragmatic-Explanatory Continuum Indicator Summary 2 (PRECIS-2) tool to assess the potential for future implementation of PA interventions in clinical practice settings. Our second aim was to identify interventions that effectively increased PA and glycemic control among the interventions in the top tertile of PRECIS-2 scores. We searched PubMed MEDLINE from January 1980 through May 2015 for RCTs of behavioral PA interventions coordinated by clinical practices for patients with T2D. Dual investigators assessed pragmatism by PRECIS-2 scores, and study effectiveness was extracted from original RCT publications. The PRECIS-2 scores of the 46 behavioral interventions (n = 13,575 participants) ranged from 3.0 to 4.8, where 5 is the most pragmatic score. In the most pragmatic tertile of interventions (n = 16) by PRECIS-2 scores, 30.8 and 31.3% of interventions improved PA outcomes and hemoglobin A1c, respectively. A minority of published evidence-based PA interventions for adults with T2D were both effective and pragmatic for clinical implementation. These should be tested for dissemination using implementation trial designs.

Interventions to increase attendance for diabetic retinopathy screening

BACKGROUND

Despite evidence supporting the effectiveness of diabetic retinopathy screening (DRS) in reducing the risk of sight loss, attendance for screening is consistently below recommended levels.

OBJECTIVES

The primary objective of the review was to assess the effectiveness of quality improvement (QI) interventions that seek to increase attendance for DRS in people with type 1 and type 2 diabetes.Secondary objectives were:To use validated taxonomies of QI intervention strategies and behaviour change techniques (BCTs) to code the description of interventions in the included studies and determine whether interventions that include particular QI strategies or component BCTs are more effective in increasing screening attendance;To explore heterogeneity in effect size within and between studies to identify potential explanatory factors for variability in effect size;To explore differential effects in subgroups to provide information on how equity of screening attendance could be improved;To critically appraise and summarise current evidence on the resource use, costs and cost effectiveness.

SEARCH METHODS

We searched the Cochrane Library, MEDLINE, Embase, PsycINFO, Web of Science, ProQuest Family Health, OpenGrey, the ISRCTN, ClinicalTrials.gov, and the WHO ICTRP to identify randomised controlled trials (RCTs) that were designed to improve attendance for DRS or were evaluating general quality improvement (QI) strategies for diabetes care and reported the effect of the intervention on DRS attendance. We searched the resources on 13 February 2017. We did not use any date or language restrictions in the searches.

SELECTION CRITERIA

We included RCTs that compared any QI intervention to usual care or a more intensive (stepped) intervention versus a less intensive intervention.

DATA COLLECTION AND ANALYSIS

We coded the QI strategy using a modification of the taxonomy developed by Cochrane Effective Practice and Organisation of Care (EPOC) and BCTs using the BCT Taxonomy version 1 (BCTTv1). We used Place of residence, Race/ethnicity/culture/language, Occupation, Gender/sex, Religion, Education, Socioeconomic status, and Social capital (PROGRESS) elements to describe the characteristics of participants in the included studies that could have an impact on equity of access to health services.Two review authors independently extracted data. One review author entered the data into Review Manager 5 and a second review author checked them. Two review authors independently assessed risks of bias in the included studies and extracted data. We rated certainty of evidence using GRADE.

MAIN RESULTS

We included 66 RCTs conducted predominantly (62%) in the USA. Overall we judged the trials to be at low or unclear risk of bias. QI strategies were multifaceted and targeted patients, healthcare professionals or healthcare systems. Fifty-six studies (329,164 participants) compared intervention versus usual care (median duration of follow-up 12 months). Overall, DRS attendance increased by 12% (risk difference (RD) 0.12, 95% confidence interval (CI) 0.10 to 0.14; low-certainty evidence) compared with usual care, with substantial heterogeneity in effect size. Both DRS-targeted (RD 0.17, 95% CI 0.11 to 0.22) and general QI interventions (RD 0.12, 95% CI 0.09 to 0.15) were effective, particularly where baseline DRS attendance was low. All BCT combinations were associated with significant improvements, particularly in those with poor attendance. We found higher effect estimates in subgroup analyses for the BCTs 'goal setting (outcome)' (RD 0.26, 95% CI 0.16 to 0.36) and 'feedback on outcomes of behaviour' (RD 0.22, 95% CI 0.15 to 0.29) in interventions targeting patients, and 'restructuring the social environment' (RD 0.19, 95% CI 0.12 to 0.26) and 'credible source' (RD 0.16, 95% CI 0.08 to 0.24) in interventions targeting healthcare professionals.Ten studies (23,715 participants) compared a more intensive (stepped) intervention versus a less intensive intervention. In these studies DRS attendance increased by 5% (RD 0.05, 95% CI 0.02 to 0.09; moderate-certainty evidence).Fourteen studies reporting any QI intervention compared to usual care included economic outcomes. However, only five of these were full economic evaluations. Overall, we found that there is insufficient evidence to draw robust conclusions about the relative cost effectiveness of the interventions compared to each other or against usual care.With the exception of gender and ethnicity, the characteristics of participants were poorly described in terms of PROGRESS elements. Seventeen studies (25.8%) were conducted in disadvantaged populations. No studies were carried out in low- or middle-income countries.

AUTHORS' CONCLUSIONS

The results of this review provide evidence that QI interventions targeting patients, healthcare professionals or the healthcare system are associated with meaningful improvements in DRS attendance compared to usual care. There was no statistically significant difference between interventions specifically aimed at DRS and those which were part of a general QI strategy for improving diabetes care. This is a significant finding, due to the additional benefits of general QI interventions in terms of improving glycaemic control, vascular risk management and screening for other microvascular complications. It is likely that further (but smaller) improvements in DRS attendance can also be achieved by increasing the intensity of a particular QI component or adding further components.

Type 2 diabetes specialty clinic model for the accountable care organization era

AIMS

A third of the patients with Type 2 diabetes have an advance disease that requires complex pharmacotherapies and advanced expertise, dependent on multiple clinical interactions. Unfortunately, limited providers availability enables only sporadic interactions. Additionally, the expanding Accountable Care Organization (ACO) concept enhances providers' compensation when clinical performance is improving while limiting face-to-face clinic visits.

METHODS

We developed an advanced type 2 specialty clinic model, geared toward frequent remote clinical interventions while limiting face-to-face clinic visits. The model was tested in a 1-year, prospective, randomized controlled clinical trial. N=60, patients were randomized 1:1, to the experimental or standard endocrinology clinics.

RESULTS

Average A1c in the experimental arm decreased from 9.6±0.9% to 7.9±1.3%(p<0.0001). Whereas in the control it decreased from 8.9±0.8% to 8.6±1.9%(non-significant). More patients were treated with statins in the experimental arm compared to the control (93.3% vs. 66.7%; p=0.01). Face-to-face clinic visits occurred 1.5±0.7 times per year in the experimental arm compared to 3.6±4.0 in the control (p<0.0001).

CONCLUSIONS

We believe that the presented model for a modified type 2 diabetes specialty clinic may enhance providers accessibility and patients' outcomes while improving reimbursement in the ACO model.

Effectiveness of remote feedback on physical activity in persons with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials

Objectives

The objective of this systematic review and meta-analysis was to examine the effectiveness of remote feedback intervention compared with standardized treatment on physical activity levels in persons with type 2 diabetes. Further, to investigate the influence of the length of intervention, number of contacts, study size, delivery of feedback, and preliminary face-to-face sessions.

Methods

A systematic literature search was conducted in May 2017, with a priori defined eligibility criteria: randomized controlled trials investigating remote feedback interventions in adult persons with type 2 diabetes, using physical activity as outcome. The effect size was calculated as standardized mean difference (SMD) and was pooled in a meta-analysis using a random-effects model. Meta-regression analyses were performed to examine if the observed effect size could be attributed to study- or intervention characteristics using these as covariates.

Results

The literature search identified 4455 articles of which 27 met the eligibility criteria. The meta-analysis including a total of 4215 participants found an overall effect size in favour of remote feedback interventions compared to standardized treatment, SMD = 0.33 (95% CI: 0.17 to 0.49), I2 = 81.7%). Analyses on study characteristics found that the effect on physical activity was only influenced by study size, with a larger effect in small studies.

Conclusion

Adding remote feedback to standardized treatments aimed at increasing physical activity in persons with type 2 diabetes showed a small to moderate additional increase in physical activity levels. Systematic review registration: PROSPERO CRD42016033479.

Video consultations as add-on to standard care among patients with type 2 diabetes not responding to standard regimens: a randomized controlled trial

OBJECTIVE

To examine whether video consultations preceded by measurements of blood glucose, weight and blood pressure as add-on to standard care could contribute to achieving and maintaining good diabetes control among patients with poorly regulated type 2 diabetes (T2D).

DESIGN

Randomized controlled trial.

METHODS

165 patients with T2D were randomized 1:1 to telemedicine intervention as add-on to clinic-based care or control (clinic-based care). The intervention consisted of monthly video conferences with a nurse via a tablet computer and lasted for 32 weeks. Regularly self-monitored measurements of blood sugar, blood pressure and weight were uploaded and visible to patient and nurse. Both groups were followed up six months after the end of the intervention period.

PRIMARY ENDPOINT

HbA1c after eight months.

RESULTS

Video conferences preceded by uploads of measurements as add-on to clinic-based care led to a significant reduction of HbA1c compared to that in standard care (0.69% vs 0.18%, P = 0.022). However, at six-month follow-up, the inter-group difference in HbA1c-reduction was no longer significant. Non-completers had higher HbA1c levels at baseline and a lower degree of education.

CONCLUSION

Video consultations preceded by uploading relevant measurements can lead to clinically and statistically significant improvements in glycemic control among patients who have not responded to standard regimens. However, continuing effort and attention are essential as the effect does not persist when intervention ends. Furthermore, future studies should focus on differentiation as the most vulnerable patients are at greater risk of non-adherence.

Effect of telemedicine on glycated hemoglobin in diabetes: a systematic review and meta-analysis of randomized trials

BACKGROUND

Telemedicine, the use of telecommunications to deliver health services, expertise and information, is a promising but unproven tool for improving the quality of diabetes care. We summarized the effectiveness of different methods of telemedicine for the management of diabetes compared with usual care.

METHODS

We searched MEDLINE, Embase and the Cochrane Central Register of Controlled Trials databases (to November 2015) and reference lists of existing systematic reviews for randomized controlled trials (RCTs) comparing telemedicine with usual care for adults with diabetes. Two independent reviewers selected the studies and assessed risk of bias in the studies. The primary outcome was glycated hemoglobin (HbA1C) reported at 3 time points (≤ 3 mo, 4-12 mo and > 12 mo). Other outcomes were quality of life, mortality and episodes of hypoglycemia. Trials were pooled using randomeffects meta-analysis, and heterogeneity was quantified using the I2 statistic.

RESULTS

From 3688 citations, we identified 111 eligible RCTs (n = 23 648). Telemedicine achieved significant but modest reductions in HbA1C in all 3 follow-up periods (difference in mean at ≤ 3 mo: -0.57%, 95% confidence interval [CI] -0.74% to -0.40% [39 trials]; at 4-12 mo: -0.28%, 95% CI -0.37% to -0.20% [87 trials]; and at > 12 mo: -0.26%, 95% CI -0.46% to -0.06% [5 trials]). Quantified heterogeneity (I2 statistic) was 75%, 69% and 58%, respectively. In meta-regression analyses, the effect of telemedicine on HbA1C appeared greatest in trials with higher HbA1C concentrations at baseline, in trials where providers used Web portals or text messaging to communicate with patients and in trials where telemedicine facilitated medication adjustment. Telemedicine had no convincing effect on quality of life, mortality or hypoglycemia.

INTERPRETATION

Compared with usual care, the addition of telemedicine, especially systems that allowed medication adjustments with or without text messaging or a Web portal, improved HbA1C but not other clinically relevant outcomes among patients with diabetes.

Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme

Background

Diabetes self-management involves adherence to healthy daily habits typically involving blood glucose monitoring, medication, exercise, and diet. To support self-management, some providers have begun testing remote interventions for monitoring and assisting patients between clinic visits. Although some studies have shown success, there are barriers to widespread adoption.

Objective

The objective of our study was to identify and classify barriers to adoption of remote health for management of type 2 diabetes.

Methods

The following 6 electronic databases were searched for articles published from 2010 to 2015: MEDLINE (Ovid), Embase (Ovid), CINAHL, Cochrane Central, Northern Light Life Sciences Conference Abstracts, and Scopus (Elsevier). The search identified studies involving remote technologies for type 2 diabetes self-management. Reviewers worked in teams of 2 to review and extract data from identified papers. Information collected included study characteristics, outcomes, dropout rates, technologies used, and barriers identified.

Results

A total of 53 publications on 41 studies met the specified criteria. Lack of data accuracy due to input bias (32%, 13/41), limitations on scalability (24%, 10/41), and technology illiteracy (24%, 10/41) were the most commonly cited barriers. Technology illiteracy was most prominent in low-income populations, whereas limitations on scalability were more prominent in mid-income populations. Barriers identified were applied to a conceptual model of successful remote health, which includes patient engagement, patient technology accessibility, quality of care, system technology cost, and provider productivity. In total, 40.5% (60/148) of identified barrier instances impeded patient engagement, which is manifest in the large dropout rates cited (up to 57%).

Conclusions

The barriers identified represent major challenges in the design of remote health interventions for diabetes. Breakthrough technologies and systems are needed to alleviate the barriers identified so far, particularly those associated with patient engagement. Monitoring devices that provide objective and reliable data streams on medication, exercise, diet, and glucose monitoring will be essential for widespread effectiveness. Additional work is needed to understand root causes of high dropout rates, and new interventions are needed to identify and assist those at the greatest risk of dropout. Finally, future studies must quantify costs and benefits to determine financial sustainability.

Delivering Diabetes Education through Nurse-Led Telecoaching. Cost-Effectiveness Analysis

BACKGROUND

People with diabetes have a high risk of developing micro- and macrovascular complications associated with diminished life expectancy and elevated treatment costs. Patient education programs can improve diabetes control in the short term, but their cost-effectiveness is uncertain. Our study aimed to analyze the lifelong cost-effectiveness of a nurse-led telecoaching program compared to usual care in people with type 2 diabetes from the perspective of the Belgian healthcare system.

METHODS

The UKPDS Outcomes Model was populated with patient-level data from an 18-month randomized clinical trial in the Belgian primary care sector involving 574 participants; trial data were extrapolated to 40 years; Quality Adjusted Life Years (QALYs), treatment costs and Incremental Cost-Effectiveness Ratio (ICER) were calculated for the entire cohort and the subgroup with poor glycemic control at baseline ("elevated HbA1c subgroup") and the associated uncertainty was explored.

RESULTS

The cumulative mean QALY (95% CI) gain was 0.21 (0.13; 0.28) overall and 0.56 (0.43; 0.68) in elevated HbA1c subgroup; the respective incremental costs were €1,147 (188; 2,107) and €2,565 (654; 4,474) and the respective ICERs €5,569 (€677; €15,679) and €4,615 (1,207; 9,969) per QALY. In the scenario analysis, repeating the intervention for lifetime had the greatest impact on the cost-effectiveness and resulted in the mean ICERs of €13,034 in the entire cohort and €7,858 in the elevated HbA1c subgroup.

CONCLUSION

Taking into account reimbursement thresholds applied in West-European countries, nurse-led telecoaching of people with type 2 diabetes may be considered highly cost-effective within the Belgian healthcare system.

TRIAL REGISTRATION

NCT01612520.

The Inclusion of Ethnic Minority Patients and the Role of Language in Telehealth Trials for Type 2 Diabetes: A Systematic Review

BACKGROUND

Type 2 diabetes is a serious, pervasive metabolic condition that disproportionately affects ethnic minority patients. Telehealth interventions can facilitate type 2 diabetes monitoring and prevent secondary complications. However, trials designed to test the effectiveness of telehealth interventions may underrecruit or exclude ethnic minority patients, with language a potential barrier to recruitment. The underrepresentation of minorities in trials limits the external validity of the findings for this key patient demographic.

OBJECTIVE

This systematic review examines (1) the research reporting practices and prevalence of ethnic minority patients included in telehealth randomized controlled trials (RCTs) targeting type 2 diabetes and the trial characteristics associated with recruiting a high proportion of minority patients, and (2) the proportion of included RCTs that report using English language proficiency as a patient screening criterion and how and why they do so.

METHODS

Telehealth RCTs published in refereed journals targeting type 2 diabetes as a primary condition for adults in Western majority English-speaking countries were included. Ethnically targeted RCTs were excluded from the main review, but were included in a post hoc subgroup analysis. Abstract and full-text screening, risk of bias assessment, and data extraction were independently conducted by two reviewers.

RESULTS

Of 3358 records identified in the search, 79 articles comprising 58 RCTs were included. Nearly two-thirds of the RCTs (38/58) reported on the ethnic composition of participants, with a median proportion of 23.5% patients (range 0%-97.7%). Fourteen studies (24%) that included at least 30% minority patients were all US-based, predominantly recruited from urban areas, and described the target population as underserved, financially deprived, or uninsured. Eight of these 14 studies (57%) offered intervention materials in a language other than English or employed bilingual staff. Half of all identified RCTs (29/58) included language proficiency as a participant-screening criterion. Language proficiency was operationalized using nonstandardized measures (eg, having sufficient "verbal fluency"), with only three studies providing reasons for excluding patients on language grounds.

CONCLUSIONS

There was considerable variability across studies in the inclusion of ethnic minority patients in RCTs, with higher participation rates in countries with legislation to mandate their inclusion (eg, United States) than in those without such legislation (eg, United Kingdom). Less than 25% of the RCTs recruited a sizeable proportion of ethnic minorities, which raises concerns about external validity. The lack of objective measures or common procedures for assessing language proficiency across trials implies that language-related eligibility decisions are often based on trial recruiters' impressionistic judgments, which could be subject to bias. The variability and inconsistent reporting on ethnicity and other socioeconomic factors in descriptions of research participants could be more specifically emphasized in trial reporting guidelines to promote best practice.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews: CRD42015024899; http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42015024899 (Archived by WebCite at http://www.webcitation.org/6kQmI2bdF).

Impact of lifestyle interventions on depressive symptoms in individuals at-risk of, or with, type 2 diabetes mellitus: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND AND AIM

Depression affects one in four individuals with type 2 diabetes mellitus (T2DM). The impact of T2DM lifestyle interventions on depression is unclear. The aim of this analysis was to examine the influence of lifestyle interventions on depressive symptoms scores in individuals at-risk of or with T2DM.

METHOD AND RESULTS

Major bibliographic databases were searched for studies published in English from 1990 to 2015. Meta-analysis was conducted by random-effects model. Nineteen studies were included in the meta-analyses. A significant reduction in depression scores was shown for lifestyle interventions in the pooled analysis (Standardized Mean Difference (SMD): -0.165; 95%CI: -0.265, -0.064; I(2):67.9%) and when limited to individuals with T2DM (SMD: -0.202; 95%CI: -0.288, -0.079; I(2):72.5%). In subgroup analyses the most effective intervention methods were face-to-face individual consultations (SMD: -0.241; 95%CI: -0.403, -0.078, I(2): 50.8%) with a duration of ≤6 months (SMD: -0.203; 95%CI: -0.381, -0.026, I(2):59.9%). Interventions were most effective when delivered four times a month (SMD: -0.247; 95%CI: -0.441, -0.053, I(2):76.3%).

CONCLUSIONS

Lifestyle interventions were effective in improving depression among people with T2DM.

Diabetes self-management education for adults with type 2 diabetes mellitus: A systematic review of the effect on glycemic control

OBJECTIVE

Assess effect of diabetes self-management education and support methods, providers, duration, and contact time on glycemic control in adults with type 2 diabetes.

METHOD

We searched MEDLINE, CINAHL, EMBASE, ERIC, and PsycINFO to December 2013 for interventions which included elements to improve participants' knowledge, skills, and ability to perform self-management activities as well as informed decision-making around goal setting.

RESULTS

This review included 118 unique interventions, with 61.9% reporting significant changes in A1C. Overall mean reduction in A1C was 0.74 and 0.17 for intervention and control groups; an average absolute reduction in A1C of 0.57. A combination of group and individual engagement results in the largest decreases in A1C (0.88). Contact hours ≥10 were associated with a greater proportion of interventions with significant reduction in A1C (70.3%). In patients with persistently elevated glycemic values (A1C>9), a greater proportion of studies reported statistically significant reduction in A1C (83.9%).

CONCLUSIONS

This systematic review found robust data demonstrating that engagement in diabetes self-management education results in a statistically significant decrease in A1C levels.

PRACTICE IMPLICATIONS

The data suggest mode of delivery, hours of engagement, and baseline A1C can affect the likelihood of achieving statistically significant and clinically meaningful improvement in A1C.

Optimizing diabetes control in people with Type 2 diabetes through nurse-led telecoaching

AIMS

To study the effect of a target-driven telecoaching intervention on HbA1c and other modifiable risk factors in people with Type 2 diabetes.

METHODS

We conducted a randomized controlled trial in patients receiving hypoglycaemic agents. The primary outcome was HbA1c level at 6 months in the entire sample and in a subgroup with HbA1c levels ≥ 53 mmol/mol (7%) at baseline. Secondary outcomes were HbA1c at 18 months; total cholesterol, LDL, HDL, triglycerides, blood pressure, BMI and proportion of people who had achieved guideline-recommended targets at 6 and 18 months.

RESULTS

A total of 287 participants were randomized to telecoaching and 287 to usual care. The mean (sd) baseline HbA1c level was 53 (11) mmol/mol [7.0 (1.0)%] overall and 63 (10) mmol/mol [7.9 (0.9)%] in the elevated HbA1c subgroup. At 6 months, the between-group differences in favour of telecoaching were: HbA1c -2 (95% CI -4; -1) mmol/mol [-0.2 (95% CI -0.3;-0.1)%; P=0.003] overall and -4 (95% CI -7; -2) mmol/mol [-0.4 (95% CI -0.7; -0.2)%; P=0.001] in the elevated HbA1c subgroup; BMI -0.4 kg/m(2) (95% CI -0.6; -0.1; P=0.003); total cholesterol -6 mg/dl (95% CI -11; -1, P=0.012). The proportion of participants on target for the composite of HbA1c , LDL and blood pressure increased by 8.9% in the intervention group and decreased by 1.3% in the control group (P=0.011). At 18 months, the difference in HbA1c was: -2 (95% CI -3;-0) mmol/mol [-0.2 (95% CI -0.3; -0.0)%; P=0.046] overall and -4 (-7; -1) mmol/mol [-0.4 (95% CI -0.7; -0.1)%; P=0.023] in the elevated HbA1c subgroup.

CONCLUSION

Nurse-led telecoaching improved glycaemic control, total cholesterol levels and BMI in people with Type 2 diabetes. Twelve months after the intervention completion, there were sustained improvements in glycaemic control.

The impact of culturally responsive self-management interventions on health outcomes for minority populations: A systematic review

OBJECTIVES

The health of people from Indigenous and ethnic minorities is poorer than the remainder of the population. Frequently, Westernized health systems respond by introducing self-management interventions to improve chronic illness health outcomes. The aim of this study was to answer the research question: "Can self-management programs that have been adapted or modified still be effective for ethnic minority and Indigenous populations?"

METHODS

A systematic review across four databases was conducted.

RESULTS

Twenty-three publications met the inclusion criteria. As the studies were heterogeneous, meta-analysis was not possible. Overall, interventions resulted in more positive health outcomes than usual care, but findings were inconsistent.

DISCUSSION

We argue that rather than focusing on individual skills, knowledge, self-efficacy, and attitudes toward self-management, it may be more important to explore the structures and processes that underpin the sharing of information and skills within clinical or education encounters. Given that self-management is a Western cultural construct, creating empathic and responsive systems might be more effective for improving health of Indigenous and ethnic minority groups rather than relying predominantly on individual skill development.

Behavioral Programs for Type 2 Diabetes Mellitus: A Systematic Review and Network Meta-analysis

BACKGROUND

Behavioral programs may improve outcomes for individuals with type 2 diabetes mellitus, but there is a large diversity of behavioral interventions and uncertainty about how to optimize the effectiveness of these programs.

PURPOSE

To identify factors moderating the effectiveness of behavioral programs for adults with type 2 diabetes.

DATA SOURCES

6 databases (1993 to January 2015), conference proceedings (2011 to 2014), and reference lists.

STUDY SELECTION

Duplicate screening and selection of 132 randomized, controlled trials evaluating behavioral programs compared with usual care, active controls, or other behavioral programs.

DATA EXTRACTION

One reviewer extracted and another verified data. Two reviewers independently assessed risk of bias.

DATA SYNTHESIS

Behavioral programs were grouped on the basis of program content and delivery methods. A Bayesian network meta-analysis showed that most lifestyle and diabetes self-management education and support programs (usually offering ≥ 11 contact hours) led to clinically important improvements in glycemic control (≥ 0.4% reduction in hemoglobin A1c [HbA1c]), whereas most diabetes self-management education programs without added support-especially those offering 10 or fewer contact hours-provided little benefit. Programs with higher effect sizes were more often delivered in person than via technology. Lifestyle programs led to the greatest reductions in body mass index. Reductions in HbA1c seemed to be greater for participants with a baseline HbA1c level of 7.0% or greater, adults younger than 65 years, and minority persons (subgroups with ≥ 75% nonwhite participants).

LIMITATIONS

All trials had medium or high risk of bias. Subgroup analyses were indirect, and therefore exploratory. Most outcomes were reported immediately after the interventions.

CONCLUSION

Diabetes self-management education offering 10 or fewer hours of contact with delivery personnel provided little benefit. Behavioral programs seem to benefit persons with suboptimal or poor glycemic control more than those with good control.

PRIMARY FUNDING SOURCE

Agency for Healthcare Research and Quality. (PROSPERO registration number: CRD42014010515).

Glycemic control and use of A1c in primary care patients with type 2 diabetes mellitus

AIMS

To evaluate the degree of glycemic control and its relationship with disease characteristics and antidiabetic treatment in patients with type 2 diabetes mellitus (DM), as well as the frequency of A1c use.

METHODS

For this purpose, an observational, cross-sectorial, and multicenter study was performed. A total of 443 patients were monitored in 17 Spanish primary healthcare centers. Demographic and clinical variables were recorded from the clinical history of patients.

RESULTS

Mean age was 68.9±12.0 years. Time of evolution of DM was 9.2±6.4 years. Mean A1c was 7.38±1.34% and 45% of patients achieved A1c <7%. There was a no significant relationship between the degree of control and time of evolution of DM. In 16% of patients no A1c determination was performed in the previous twelve months. In those patients in whom A1c was determined, 95% received pharmacologic treatment, and 31% insulin therapy. 66% of patients on monotherapy attained A1C <7%, compared with 39% and 23% of those receiving double- and triple-oral therapy, respectively (p<0.001). Only 21% of patients on insulin therapy achieved A1c <7%. The worst-controlled patients were those receiving oral antidiabetic agents and insulin (24% had A1c levels ≥9%).

CONCLUSIONS

A large proportion of patients are poorly controlled. Poor control increases according to complexity of treatment. A1c is underdetermined in many patients, likely related to clinical inertia.

Does Diabetes Self-management Education in Conjunction With Primary Care Improve Glycemic Control in Hispanic Patients?

Purpose

The purpose of this systematic review and meta-analysis is to evaluate the effectiveness of diabetes self-management education (DSME) interventions delivered in conjunction with primary care among Hispanic adults with type 2 diabetes mellitus (T2DM).

Methods

A systematic search of PubMed, Cochrane Library, and the Cumulative Index to Nursing and Allied Health Literature identified randomized controlled trials (RCT) that tested the effect of DSME interventions in Hispanic adults with T2DM. Studies reporting hemoglobin A1C (A1C) pre and post intervention or change in A1C were eligible for inclusion in the meta-analysis.

Results

Of 625 studies identified, 13 RCTs met criteria for inclusion in the systematic review; of these, 11 studies were included in the meta-analysis. The 13 RCTs represent data from 2784 adult Hispanic subjects. DSME interventions (individual, group, telephone/electronic, and multimodal sessions) varied in intensity from 1-time DSME sessions with phone follow-up to contact every 4 to 6 weeks over 5 years. At ≥6 months following intervention, pooled A1C reduction was −0.25 (95% CI, −0.42 to −0.07), favoring the intervention group.

Conclusions

DSME in conjunction with primary care is effective in improving glycemic control in Hispanic adults with T2DM. Future comparative effectiveness research is needed to identify best delivery methods to optimize effectiveness of DSME delivered to the Hispanic population.

The empirical evidence for the telemedicine intervention in diabetes management

OBJECTIVE

The research presented here assesses the scientific evidence for the telemedicine intervention in the management of diabetes (telediabetes), gestational diabetes, and diabetic retinopathy. The impetus derives from the confluence of high prevalence of these diseases, increasing incidence, and rising costs, while telemedicine promises to ameliorate, if not prevent, type 2 diabetes and its complications.

MATERIALS AND METHODS

A purposeful review of the literature identified relevant publications from January 2005 to December 2013. These were culled to retain only credible research articles for detailed review and analysis. The search yielded approximately 17,000 articles with no date constraints. Of these, 770 appeared to be research articles within our time frame. A review of the abstracts yielded 73 articles that met the criteria for inclusion in the final analysis. Evidence is organized by research findings regarding feasibility/acceptance, intermediate outcomes (e.g., use of service, and screening compliance), and health outcomes (control of glycemic level, lipids, body weight, and physical activity.)

RESULTS

Definitions of telediabetes varied from study to study vis-à-vis diabetes subtype, setting, technology, staffing, duration, frequency, and target population. Outcome measures also varied. Despite these vagaries, sufficient evidence was obtained from a wide variety of research studies, consistently pointing to positive effects of telemonitoring and telescreening in terms of glycemic control, reduced body weight, and increased physical exercise. The major contributions point to telemedicine's potential for changing behaviors important to diabetes control and prevention, especially type 2 and gestational diabetes. Similarly, screening and monitoring for retinopathy can detect symptoms early that may be controlled or treated.

CONCLUSIONS

Overall, there is strong and consistent evidence of improved glycemic control among persons with type 2 and gestational diabetes as well as effective screening and monitoring of diabetic retinopathy.

Clinical- and cost-effectiveness of telemedicine in type 2 diabetes mellitus: a systematic review and meta-analysis

Emerging telemedicine programs offer potential low-cost solutions to the management of chronic disease. We sought to evaluate the clinical effectiveness and cost effectiveness of telemedicine approaches on glycemic control in patients with type 2 diabetes mellitus. Using terms related to type 2 diabetes and telemedicine, MEDLINE, Cochrane, EMBASE, and CINAHL Plus were searched to identify relevant studies published through February 28, 2014. Data from identified clinical trials were pooled according to telemedicine approach, and evaluated using conventional meta-analytical methods. We identified 47 articles, from 35 randomized controlled trials, reporting quantitative outcomes for hemoglobin A1c (HbA1c). Twelve of the 35 studies provided intervention via telephone, either in the form of a call or a text message; 19 studies tested internet-based programs, employing video-conferencing and/or informational websites; and four studies used interventions involving electronically transmitted recommendations made by clinicians in response to internet-based reporting by patients. Overall, pooled results from these studies revealed a small, but statistically significant, decrease in HbA1c following intervention, compared to conventional treatment (pooled difference in means=-0.37, 95% CI=-0.49 to -0.25, Z=-6.08, P<0.001). Only two of the 35 studies included assessment of cost-effectiveness. These studies were disparate, both in terms of overall expense and relative cost-effectiveness. Optimization of telemedicine approaches could potentially allow for more effective self-management of disease in type 2 diabetes patients, though evidence to-date is unconvincing. Furthermore, significant publication bias was detected, suggesting that the literature should be interpreted cautiously.

Medical assistant coaching to support diabetes self-care among low-income racial/ethnic minority populations: randomized controlled trial

Innovative, culturally tailored strategies are needed to extend diabetes education and support efforts in lower-resourced primary care practices serving racial/ethnic minority groups. A randomized controlled trial (RCT) examined the effect of a diabetes self-care coaching intervention delivered by medical assistants and the joint effect of intervention and ethnicity over time. The randomized repeated-measures design included 270 low-income African American and Hispanic/Latino patients with type 2 diabetes. The 1-year clinic- and telephone-based medical assistant coaching intervention was culturally tailored and guided by theoretical frameworks. A1C was obtained, and a self-care measure was completed at baseline, 6 months, and 12 months. Data were analyzed using mixed-effects models with and without adjustment for covariates. There was a significant overall improvement in mean self-care scores across time, but no intervention effect. Results revealed differences in self-care patterns across racial/ethnic subgroups. No differences were found for A1C levels across time or group.

Culturally appropriate health education for people in ethnic minority groups with type 2 diabetes mellitus

BACKGROUND

Ethnic minority groups in upper-middle-income and high-income countries tend to be socioeconomically disadvantaged and to have a higher prevalence of type 2 diabetes than is seen in the majority population.

OBJECTIVES

To assess the effectiveness of culturally appropriate health education for people in ethnic minority groups with type 2 diabetes mellitus.

SEARCH METHODS

A systematic literature search was performed of the following databases: The Cochrane Library, MEDLINE, EMBASE, PsycINFO, the Education Resources Information Center (ERIC) and Google Scholar, as well as reference lists of identified articles. The date of the last search was July 2013 for The Cochrane Library and September 2013 for all other databases. We contacted authors in the field and handsearched commonly encountered journals as well.

SELECTION CRITERIA

We selected randomised controlled trials (RCTs) of culturally appropriate health education for people over 16 years of age with type 2 diabetes mellitus from named ethnic minority groups residing in upper-middle-income or high-income countries.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trial quality and extracted data. When disagreements arose regarding selection of papers for inclusion, two additional review authors were consulted for discussion. We contacted study authors to ask for additional information when data appeared to be missing or needed clarification.

MAIN RESULTS

A total of 33 trials (including 11 from the original 2008 review) involving 7453 participants were included in this review, with 28 trials providing suitable data for entry into meta-analysis. Although the interventions provided in these studies were very different from one study to another (participant numbers, duration of intervention, group versus individual intervention, setting), most of the studies were based on recognisable theoretical models, and we tried to be inclusive in considering the wide variety of available culturally appropriate health education.Glycaemic control (as measured by glycosylated haemoglobin A1c (HbA1c)) showed improvement following culturally appropriate health education at three months (mean difference (MD) -0.4% (95% confidence interval (CI) -0.5 to -0.2); 14 trials; 1442 participants; high-quality evidence) and at six months (MD -0.5% (95% CI -0.7 to -0.4); 14 trials; 1972 participants; high-quality evidence) post intervention compared with control groups who received 'usual care'. This control was sustained to a lesser extent at 12 months (MD -0.2% (95% CI -0.3 to -0.04); 9 trials; 1936 participants) and at 24 months (MD -0.3% (95% CI -0.6 to -0.1); 4 trials; 2268 participants; moderate-quality evidence) post intervention. Neutral effects on health-related quality of life measures were noted and there was a general lack of reporting of adverse events in most studies - the other two primary outcomes for this review. Knowledge scores showed improvement in the intervention group at three (standardised mean difference (SMD) 0.4 (95% CI 0.1 to 0.6), six (SMD 0.5 (95% CI 0.3 to 0.7)) and 12 months (SMD 0.4 (95% CI 0.1 to 0.6)) post intervention. A reduction in triglycerides of 24 mg/dL (95% CI -40 to -8) was observed at three months, but this was not sustained at six or 12 months. Neutral effects on total cholesterol, low-density lipoprotein (LDL) cholesterol or high-density lipoprotein (HDL) cholesterol were reported at any follow-up point. Other outcome measures (blood pressure, body mass index, self-efficacy and empowerment) also showed neutral effects compared with control groups. Data on the secondary outcomes of diabetic complications, mortality and health economics were lacking or were insufficient.Because of the nature of the intervention, participants and personnel delivering the intervention were rarely blinded, so the risk of performance bias was high. Also, subjective measures were assessed by participants who self-reported via questionnaires, leading to high bias in subjective outcome assessment.

AUTHORS' CONCLUSIONS

Culturally appropriate health education has short- to medium-term effects on glycaemic control and on knowledge of diabetes and healthy lifestyles. With this update (six years after the first publication of this review), a greater number of RCTs were reported to be of sufficient quality for inclusion in the review. None of these studies were long-term trials, and so clinically important long-term outcomes could not be studied. No studies included an economic analysis. The heterogeneity of the studies made subgroup comparisons difficult to interpret with confidence. Long-term, standardised, multi-centre RCTs are needed to compare different types and intensities of culturally appropriate health education within defined ethnic minority groups, as the medium-term effects could lead to clinically important health outcomes, if sustained.

Clinical metric and medication persistency effects: evidence from a Medicaid care management program

The objective was to estimate clinical metric and medication persistency impacts of a care management program. The data sources were Medicaid administrative claims for a sample population of 32,334 noninstitutionalized Medicaid-only aged, blind, or disabled patients with diagnosed conditions of asthma, coronary artery disease, chronic obstructive pulmonary disease, diabetes, or heart failure between 2005 and 2009. Multivariate regression analysis was used to test the hypothesis that exposure to a care management intervention increased the likelihood of having the appropriate medication or procedures performed, as well as increased medication persistency. Statistically significant clinical metric improvements occurred in each of the 5 conditions studied. Increased medication persistency was found for beta-blocker medication for members with coronary artery disease, angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and diuretic medications for members with heart failure, bronchodilator and corticosteroid medications for members with chronic obstructive pulmonary disease, and aspirin/antiplatelet medications for members with diabetes. This study demonstrates that a care management program increases the likelihood of having an appropriate medication dispensed and/or an appropriate clinical test performed, as well as increased likelihood of medication persistency, in people with chronic conditions.

Living well with diabetes: 24-month outcomes from a randomized trial of telephone-delivered weight loss and physical activity intervention to improve glycemic control

OBJECTIVE

To evaluate the effectiveness of a telephone-delivered behavioral weight loss and physical activity intervention targeting Australian primary care patients with type 2 diabetes.

RESEARCH DESIGN AND METHODS

Pragmatic randomized controlled trial of telephone counseling (n = 151) versus usual care (n = 151). Reported here are 18-month (end-of-intervention) and 24-month (maintenance) primary outcomes of weight, moderate-to-vigorous-intensity physical activity (MVPA; via accelerometer), and HbA1c level. Secondary outcomes include dietary energy intake and diet quality, waist circumference, lipid levels, and blood pressure. Data were analyzed via adjusted linear mixed models with multiple imputation of missing data.

RESULTS

Relative to usual-care participants, telephone counseling participants achieved modest, but significant, improvements in weight loss (relative rate [RR] -1.42% of baseline body weight [95% CI -2.54 to -0.30% of baseline body weight]), MVPA (RR 1.42 [95% CI 1.06-1.90]), diet quality (2.72 [95% CI 0.55-4.89]), and waist circumference (-1.84 cm [95% CI -3.16 to -0.51 cm]), but not in HbA1c level (RR 0.99 [95% CI 0.96-1.02]), or other cardio-metabolic markers. None of the outcomes showed a significant change/deterioration over the maintenance period. However, only the intervention effect for MVPA remained statistically significant at 24 months.

CONCLUSIONS

The modest improvements in weight loss and behavior change, but the lack of changes in cardio-metabolic markers, may limit the utility, scalability, and sustainability of such an approach.

Effectiveness and safety of patient activation interventions for adults with type 2 diabetes: systematic review, meta-analysis, and meta-regression

BACKGROUND

Patient activation interventions (PAIs) engage patients in care by promoting increased knowledge, confidence, and/or skills for disease self-management. However, little is known about the impact of these interventions on a wide range of outcomes for adults with type 2 diabetes (DM2), or which of these interventions, if any, have the greatest impact on glycemic control.

METHODS

Electronic databases were searched from inception through November 2011. Of 16,290 citations, two independent reviewers identified 138 randomized trials comparing PAIs to usual care/control groups in adults with DM2 that reported intermediate or long-term outcomes or harms. For meta-analyses of continuous outcomes, we used a random-effects model to derive pooled weighted mean differences (WMD). For all-cause mortality, we calculated the pooled odds ratio (OR) using Peto's method. We assessed statistical heterogeneity using the I (2) statistic and conducted meta-regression using a random-effects model when I (2) > 50 %. A priori meta-regression primary variables included: intervention strategies, intervention leader, baseline outcome value, quality, and study duration.

RESULTS

PAIs modestly reduced intermediate outcomes [A1c: WMD 0.37 %, CI 0.28-0.45 %, I (2) 83 %; SBP: WMD 2.2 mmHg, CI 1.0-3.5 mmHg, I (2) 72 %; body weight: WMD 2.3 lbs, CI 1.3-3.2 lbs, I (2) 64 %; and LDL-c: WMD 4.2 mg/dL, CI 1.5-6.9 mg/dL, I (2) 64 %]. The evidence was moderate for A1c, low/very low for other intermediate outcomes, low for long-term mortality and very low for complications. Interventions had no effect on hypoglycemia (evidence: low) or short-term mortality (evidence: moderate). Higher baseline A1c, pharmacist-led interventions, and longer follow-up were associated with larger A1c improvements. No intervention strategy outperformed any other in adjusted meta-regression.

CONCLUSIONS

PAIs modestly improve A1c in adults with DM2 without increasing short-term mortality. These results support integration of these interventions into primary care for adults with uncontrolled glycemia, and provide evidence to insurers who do not yet cover these programs.

Diabetes nurse case management and motivational interviewing for change (DYNAMIC): results of a 2-year randomized controlled pragmatic trial

BACKGROUND

The aim of the present study was to determine whether the addition of nurse case managers (NCMs) trained in motivational interviewing (MI) to usual care would result in improved outcomes in high-risk type 2 diabetes patients.

METHODS

A 2-year randomized controlled pragmatic trial randomized 545 patients to usual care control (n=313) or those who received the intervention (n=232) with additional practice-embedded NCM care, including MI-guided behavior change counseling. The NCMs received intensive MI training with ongoing fidelity assessment.

RESULTS

Systolic blood pressure (SBP) was better in the intervention than usual care group (131 ± 15 vs. 135 ± 18 mmHg, respectively; P<0.05). Improvements were seen in both the control and intervention groups in terms of HbA1c (from 9.1% to 8.0% and from 8.8% to 7.8%, respectively), low-density lipoprotein (LDL; from 127 to 100 mg/dL and from 128 to 102 mg/dL, respectively), and diastolic blood pressure (from 78 to 74 mmHg and from 80 to 74 mmHg, respectively). Depression symptom scores were better in the intervention group. The reduction in diabetes-related distress approached statistical significance.

CONCLUSIONS

The NCMs and MI improved SBP and complications screening. The large decrease in HbA1C and LDL in the control group may have obscured any further intervention effect. Although nurses prompted providers for medication titration, strategies to reduce provider clinical inertia may also be needed.