Enhancing the Biopsychosocial Approach to Perioperative Care: A Pilot Randomized Trial of the Perioperative Pain Self-management (PePS) Intervention

OBJECTIVE

The current study aimed to pilot the PePS intervention, based on principles of cognitive behavioral therapy (CBT), to determine feasibility and preliminary efficacy for preventing chronic pain and long-term opioid use.

SUMMARY BACKGROUND DATA

Surgery can precipitate the development of both chronic pain and long-term opioid use. CBT can reduce distress and improve functioning among patients with chronic pain. Adapting CBT to target acute pain management in the postoperative period may impact longer-term postoperative outcomes.

METHODS

This was a mixed-methods randomized controlled trial in a mixed surgical sample with assignment to standard care or PePS, with primary outcomes at 3-months postsurgery. The sample consisted of rural-dwelling United States Military Veterans.

RESULTS

Logistic regression analyses found a significant effect of PePS on odds of moderate-severe pain (on average over the last week) at 3-months postsurgery, controlling for preoperative moderate-severe pain: Adjusted odds ratio = 0.25 (95% CI: 0.07-0.95, P < 0.05). At 3-months postsurgery, 15% (6/39) of standard care participants and 2% (1/45) of PePS participants used opioids in the prior seven days: Adjusted Odds ratio = 0.10 (95% CI: 0.01-1.29, P = .08). Changes in depression, anxiety, and pain catastrophizing were not significantly different between arms.

CONCLUSIONS

The findings from this study support the feasibility and preliminary efficacy of the PePS intervention.

Diabetes self-management education interventions in the WHO African Region: A scoping review

INTRODUCTION

Diabetes mellitus (DM) is one of the commonest chronic diseases worldwide. Self-Management Education (SME) is regarded as a critical element of treatment for all people with diabetes, as well as those at risk of developing the condition. While a great variety of diabetes self-management education (DSME) interventions are available in high-income countries, limited information exists on educational programs for the prevention and management of diabetes complications in Africa. This study, therefore, aimed at synthesizing information in the literature to describe the state of the science of DSME interventions in the WHO African Region.

MATERIALS AND METHODS

The study is a scoping review, which followed the standard PRISMA guidelines for conducting and reporting scoping reviews. A systematic keyword and subject headings searches were conducted on six electronic databases (PubMed, Scopus, MEDLINE, EMBASE, PsychINFO and the Cochrane Central Register of Controlled Trials) to identify relevant English language publications on DSME from 2000 through 2020. Titles and abstracts of the search results were screened to select eligible papers for full text reading. All eligible papers were retrieved and full text screening was done by three independent reviewers to select studies for inclusion in the final analysis.

RESULTS

Nineteen studies were included in the review. The interventions identified were individually oriented, group-based, individually oriented & group-based, and information technology-based DSME programs. Outcomes of the interventions were mixed. While the majority yielded significant positive results on HbA1c, diabetes knowledge, blood pressure, blood sugar and foot care practices; few demonstrated positive outcomes on self-efficacy, BMI, physical activity; self-monitoring of blood glucose, medication adherence, smoking and alcohol consumption.

CONCLUSIONS

The limited studies available indicate that DSME interventions in the WHO African Region have mixed effects on patient behaviors and health outcomes. That notwithstanding, the majority of the interventions demonstrated statistically significant positive effects on HbA1c, the main outcome measure in most DSME intervention studies.

Geographic disparities and temporal changes of diabetes prevalence and diabetes self-management education program participation in Florida

BACKGROUND

Although Diabetes Self-Management Education (DSME) programs are recommended to help reduce the burden of diabetes and diabetes-related complications, Florida is one of the states with the lowest DSME participation rates. Moreover, there is evidence of geographic disparities of not only DSME participation rates but the burden of diabetes as well. Understanding these disparities is critical for guiding control programs geared at improving participation rates and diabetes outcomes. Therefore, the objectives of this study were to: (a) investigate geographic disparities of diabetes prevalence and DSME participation rates; and (b) identify predictors of the observed disparities in DSME participation rates.

METHODS

Behavioral Risk Factor Surveillance System (BRFSS) data for 2007 and 2010 were obtained from the Florida Department of Health. Age-adjusted diabetes prevalence and DSME participation rates were computed at the county level and their geographic distributions visualized using choropleth maps. Significant changes in diabetes prevalence and DSME participation rates between 2007 and 2010 were assessed and counties showing significant changes were mapped. Clusters of high diabetes prevalence before and after adjusting for common risk factors and DSME participation rates were identified, using Tango's flexible spatial scan statistics, and their geographic distribution displayed in maps. Determinants of the geographic distribution of DSME participation rates and predictors of the identified high rate clusters were identified using ordinary least squares and logistic regression models, respectively.

RESULTS

County level age-adjusted diabetes prevalence varied from 4.7% to 17.8% while DSME participation rates varied from 26.6% to 81.2%. There were significant (p≤0.05) increases in both overall age-adjusted diabetes prevalence and DSME participation rates from 2007 to 2010 with diabetes prevalence increasing from 7.7% in 2007 to 8.6% in 2010 while DSME participation rates increased from 51.4% in 2007 to 55.1% in 2010. Generally, DSME participation rates decreased in rural areas while they increased in urban areas. High prevalence clusters of diabetes (both adjusted and unadjusted) were identified in northern and central Florida, while clusters of high DSME participation rates were identified in central Florida. Rural counties and those with high proportion of Hispanics tended to have low DSME participation rates.

CONCLUSIONS

The findings confirm that geographic disparities in both diabetes prevalence and DSME participation rates exist. Specific attention is required to address these disparities especially in areas that have high diabetes prevalence but low DSME participation rates. Study findings are useful for guiding resource allocation geared at reducing disparities and improving diabetes outcomes.

Clouds and Silver Linings: COVID-19 Pandemic Is an Opportune Moment to Democratize Diabetes Care Through Telehealth

With the recent pivot to telehealth as a direct result of the COVID-19 pandemic, there is an imperative to ensure that access to affordable devices and technologies with remote monitoring capabilities for people with diabetes becomes equitable. In addition, expanding the use of remote Diabetes Self-Management Education and Support (DSMES) and Medical Nutrition Therapy (MNT) services will require new strategies for achieving long-term, effective, continuous, data-driven care. The current COVID-19 pandemic has especially impacted underserved US communities that were already disproportionately impacted by diabetes. Historically, these same communities have faced barriers in accessing timely and effective diabetes care including access to DSMES and MNT services, and diabetes technologies. Our call to action encourages all involved to urge US Federal representatives to widen access to the array of technologies necessary for successful telehealth-delivered care beyond COVID-19.

Psychological adaptive difficulties and their management during COVID-19 pandemic in people with diabetes mellitus

BACKGROUND AND AIMS

People with diabetes have multiple psychosocial issues related to diabetes and its complications and this may be exacerbated during the COVID-19 pandemic.

METHODS

We reviewed the psychological adaptative difficulties in people with diabetes especially during natural disasters including the prevailing COVID-19 pandemic.

RESULTS

There are significant concerns regarding worsening of glycemic control, unavailability of appropriate medicines, inaccessibility to health care or acquiring SARS- CoV-2 infection and subsequent poorer outcomes during the COVID-19 pandemic. Although there are some guidance documents for managing diabetes and associated complications during COVID-19 pandemic but very few address the psychological issues in people with diabetes. We discuss the psychological adaptive difficulties and an approach to address the psychosocial concerns in people with diabetes during the COVID-19 pandemic.

CONCLUSIONS

People with diabetes have significant diabetes distress and psychological adaptive difficulties that is aggravated by the COVID-19 pandemic. An integrated multidisciplinary approach is needed to manage the prevailing psychological issues amongst people with diabetes during the COVID-19 pandemic.

Respiratory patient experience of measures to reduce risk of COVID-19: findings from a descriptive cross-sectional UK wide survey

OBJECTIVES

To assess the experience of people with long-term respiratory conditions regarding the impact of measures to reduce risk of COVID-19.

DESIGN

Analysis of data (n=9515) from the Asthma UK and British Lung Foundation partnership COVID-19 survey collected online between 1 and 8 April 2020.

SETTING

Community.

PARTICIPANTS

9515 people with self-reported long-term respiratory conditions. 81% female, age ranges from ≤17 years to 80 years and above, from all nations of the UK. Long-term respiratory conditions reported included asthma (83%), chronic obstructive pulmonary disease (10%), bronchiectasis (4%), interstitial lung disease (2%) and 'other' (<1%) (eg, lung cancer and pulmonary endometriosis).

OUTCOME MEASURES

Study responses related to impacts on key elements of healthcare, as well as practical, psychological and social consequences related to the COVID-19 pandemic and social distancing measures.

RESULTS

45% reported disruptions to care, including cancellations of appointments, investigations, pulmonary rehabilitation, treatment and monitoring. Other practical impacts such as difficulty accessing healthcare services for other issues and getting basic necessities such as food were also common. 36% did not use online prescriptions, and 54% had not accessed online inhaler technique videos. Psychosocial impacts including anxiety, loneliness and concerns about personal health and family were prevalent. 81% reported engaging in physical activity. Among the 11% who were smokers, 48% reported they were planning to quit smoking because of COVID-19.

CONCLUSIONS

COVID-19 and related social distancing measures are having profound impacts on people with chronic respiratory conditions. Urgent adaptation and signposting of services is required to mitigate the negative health consequences of the COVID-19 response for this group.

What are the characteristics of the best type 1 diabetes patient education programmes (from diagnosis to long-term care), do they improve outcomes and what is required to make them more effective?

The last 20 years have witnessed a marked change in approaches to the management of type 1 diabetes in the UK. This is exemplified by National Institute of Health and Care Excellence (NICE) guidance which acknowledges that reaching and maintaining target glucose depends on people with type 1 diabetes effectively implementing flexible intensive insulin therapy. The guidance emphasizes that successful self-management requires the acquisition of complex skills and is best achieved by participation in high-quality structured education. Controlled trials and other research have shown that programmes teaching self-management can lower glucose levels while reducing hypoglycaemia, improve psychological outcomes and are highly cost-effective. An important principle of successful programmes is therapeutic education in which learning becomes a partnership between the professional and the person with diabetes who learns to fit diabetes into his/her everyday life. Other recommended elements of programmes include a written curriculum, group teaching by a professional multidisciplinary team and quality assurance. Yet many participants struggle post-course to implement and maintain skills, and overall HbA_1c levels, particularly in the UK, remain far from target. Recent studies have identified the barriers to sustained effective self-management and concluded that even high-quality programmes generally lack critical components. These include incorporating evidence from behaviour change research, exploiting the promise of new technologies in reducing the burden of self-management, and providing structured professional support once people have completed the training. Studies are currently underway to evaluate structured training courses which have added these elements and examine whether they can lower glucose to levels closer to target without impairing quality of life.

Persistent poor glycaemic control in individuals with type 2 diabetes in developing countries: 12 years of real-world evidence of the International Diabetes Management Practices Study (IDMPS)

AIMS/HYPOTHESIS

We evaluated the secular trend of glycaemic control in individuals with type 2 diabetes in developing countries, where data are limited.

METHODS

The International Diabetes Management Practices Study provides real-world evidence of patient profiles and diabetes care practices in developing countries in seven cross-sectional waves (2005-2017). At each wave, each physician collected data from ten consecutive participants with type 2 diabetes during a 2 week period. The primary objective of this analysis was to evaluate trends of glycaemic control over time.

RESULTS

A total of 66,088 individuals with type 2 diabetes were recruited by 6099 physicians from 49 countries. The proportion of participants with HbA_1c <53 mmol/mol (<7%) decreased from 36% in wave 1 (2005) to 30.1% in wave 7 (2017) (p < 0.0001). Compared with wave 1, the adjusted ORs of attaining HbA_1c ≤64 mmol/mol (≤8%) decreased significantly in waves 2, 5, 6 and 7 (p < 0.05). Over 80% of participants received oral glucose-lowering drugs, with declining use of sulfonylureas. Insulin use increased from 32.8% (wave 1) to 41.2% (wave 7) (p < 0.0001). The corresponding time to insulin initiation (mean ± SD) changed from 8.4 ± 6.9 in wave 1 to 8.3 ± 6.6 years in wave 7, while daily insulin dosage ranged from 0.39 ± 0.21 U/kg (wave 1) to 0.33 ± 0.19 U/kg (wave 7) for basal regimen and 0.70 ± 0.34 U/kg (wave 1) to 0.77 ± 0.33 (wave 7) U/kg for basal-bolus regimen. An increasing proportion of participants had ≥2 HbA_1c measurements within 12 months of enrolment (from 61.8% to 92.9%), and the proportion of participants receiving diabetes education (mainly delivered by physicians) also increased from 59.0% to 78.3%.

CONCLUSIONS

In developing countries, glycaemic control in individuals with type 2 diabetes remained suboptimal over a 12 year period, indicating a need for system changes and better organisation of care to improve self-management and attainment of treatment goals.

Do-It-Yourself Artificial Pancreas System and the OpenAPS Movement

People with diabetes have been experimenting with and modifying their own diabetes devices and technologies for many decades in order to achieve the best possible quality of life and improving their long-term outcomes, including do-it-yourself (DIY) closed loop systems. Thousands of individuals use DIY closed loop systems globally, which work similarly to commercial systems by automatically adjusting and controlling insulin dosing, but are different in terms of transparency, access, customization, and usability. Initial outcomes seen by the DIY artificial pancreas system community are positive, and randomized controlled trials are forthcoming on various elements of DIYAPS technology.

Trends in diabetes self-management education: where are we coming from and where are we going? A narrative review

AIMS

To summarize the history, development and efficacy of diabetes self-management education on glycaemic control and mental health in adults and children or adolescents with type 1 diabetes and people with type 2 diabetes. A further aim was to review the status of implementation of diabetes self-management education into routine care and outline current gaps in implementation and research.

METHODS

We searched PubMed and Google scholar for German- and English-language articles regarding diabetes self-management education, glycaemic control and mental health, and restricted this search to meta-analyses.

RESULTS

Diabetes education has evolved from a compliance- and knowledge-oriented approach to an empowerment- and self-management-oriented approach. Diabetes self-management education seems to have a greater impact on glycaemic outcomes than on mental health outcomes, but the latter are rarely assessed. Technological development and digitalization can provide chances and challenges for diabetes self-management education. Digital solutions show promising results and great potential for improving the efficacy of diabetes self-management education further and providing ongoing support. The implementation of diabetes self-management education into routine clinical care frequently remains a challenge.

CONCLUSION

Diabetes self-management education has been acknowledged as an essential part of diabetes therapy; however, current gaps regarding the efficacy of diabetes self-management education on mental health, and the need for education on the use of diabetes technology, are future avenues for research.

Use of Diabetes Technology in Children: Role of Structured Education for Young People with Diabetes and Families

The current era has witnessed an explosion of advanced diabetes technologies. Young people with diabetes and their families require detailed, structured diabetes education in order to optimize use of such devices. There is need for youth and their families to participate in the selection of particular devices for personal use and comprehensive education regarding the safe and effective use of such technologies. The education process should ensure that youth and their families receive realistic expectations of what the advanced technologies can and cannot do to avoid disappointment and the premature discontinuation of such systems.

Emerging practices supporting diabetes self-management among food insecure adults and families: A scoping review

BACKGROUND

Food insecurity undermines a patient's ability to follow diabetes self-management recommendations. Care providers need strategies to direct their support of diabetes management among food insecure patients and families.

OBJECTIVE

To identify what emerging practices health care providers can relay to patients or operationalize to best support diabetes self-management among food insecure adults and families.

ELIGIBILITY CRITERIA

Food insecure populations with diabetes (type 1, type 2, prediabetes, gestational diabetes) and provided diabetes management practices specifically for food insecure populations. Only studies in English were considered. In total, 21 articles were reviewed.

SOURCES OF EVIDENCE

Seven databases: Cumulative Index of Nursing and Allied Health Literature, Cochrane Database of Systematic Reviews, Medline, ProQuest Nursing & Allied Health Database, PsychInfo, Scopus, and Web of Science.

RESULTS

Emerging practices identified through this review include screening for food insecurity as a first step, followed by tailoring nutrition counseling, preventing hypoglycemia through managing medications, referring patients to professional and community resources, building supportive care provider-patient relationships, developing constructive coping strategies, and decreasing tobacco smoking.

CONCLUSION

Emerging practices identified in our review include screening for food insecurity, nutrition counselling, tailoring management plans through medication adjustments, referring to local resources, improving care provider-patient relationship, promoting healthy coping strategies, and decreasing tobacco use. These strategies can help care providers better support food insecure populations with diabetes. However, some strategies require further evaluation to enhance understanding of their benefits, particularly in food insecure individuals with gestational and prediabetes, as no studies were identified in these populations. A major limitation of this review is the lack of global representation considering no studies outside of North America satisfied our inclusion criteria, due in part to the English language restriction.

Self-management behaviors in World Trade Center rescue and recovery workers with asthma

BACKGROUND

Asthma is a major source of morbidity among World Trade Center (WTC) rescue and recovery workers. While physical and mental health comorbidities have been associated with poor asthma control, the potential role and determinants of adherence to self-management behaviors (SMB) among WTC rescue and recovery workers is unknown.

OBJECTIVES

To identify modifiable determinants of adherence to asthma self-management behaviors in WTC rescue and recovery worker that could be potential targets for future interventions.

METHODS

We enrolled a cohort of 381 WTC rescue and recovery workers with asthma. Sociodemographic data and asthma history were collected during in-person interviews. Based on the framework of the Model of Self-regulation, we measured beliefs about asthma and controller medications. Outcomes included medication adherence, inhaler technique, use of action plans, and trigger avoidance.

RESULTS

Medication adherence, adequate inhaler technique, use of action plans, and trigger avoidance were reported by 44%, 78%, 83%, and 47% of participants, respectively. Adjusted analyses showed that WTC rescue and recovery workers who believe that they had asthma all the time (odds ratio [OR]: 2.37; 95% confidence interval [CI]: 1.38-4.08), that WTC-related asthma is more severe (OR: 1.73; 95% CI: 1.02-2.93), that medications are important (OR: 12.76; 95% CI: 5.51-29.53), and that present health depends on medications (OR: 2.39; 95% CI: 1.39-4.13) were more likely to be adherent to their asthma medications. Illness beliefs were also associated with higher adherence to other SMB.

CONCLUSIONS

Low adherence to SMB likely contributes to uncontrolled asthma in WTC rescue and recovery workers. Specific modifiable beliefs about asthma chronicity, the importance of controller medications, and the severity of WTC-related asthma are independent predictors of SMB in this population. Cognitive behavioral interventions targeting these beliefs may improve asthma self-management and outcomes in WTC rescue and recovery workers. Key message: This study identified modifiable beliefs associated with low adherence to self-management behaviors among World Trade Center rescue and recovery rescue and recovery workers with asthma which could be the target for future interventions.

CAPSULE SUMMARY

Improving World Trade Center-related asthma outcomes will require multifactorial approaches such as supporting adherence to controller medications and other self-management behaviors. This study identified several modifiable beliefs that may be the target of future efforts to support self-management in this patient population.

Examining Diabetes Management Apps Recommended From a Google Search: Content Analysis

BACKGROUND

The availability of smartphone health apps empowers people to manage their own health. Currently, there are over 300,000 health apps available in the market targeting a variety of user needs from weight loss to management of chronic conditions, with diabetes being the most commonly targeted condition. To date, health apps largely fall outside government regulation, and there are no official guidelines to help clinicians and patients in app selection. Patients commonly resort to the internet for suggestions on which diabetes app to use.

OBJECTIVE

The objective of this study was to investigate apps identified through a Google search and characterize these apps in terms of features that support diabetes management.

METHODS

We performed a Google search for the "best diabetes apps 2017" and explored the first 4 search results. We identified and compiled a list of the apps recommended in the returned search results, which were Web articles. Information about each app was extracted from the papers and corresponding app store descriptions. We examined the apps for the following diabetes management features: medication management, blood glucose self-management, physical activity, diet and nutrition, and weight management.

RESULTS

Overall, 26 apps were recommended in 4 papers. One app was listed in all 4 papers, and 3 apps appeared on 3 of the 4 lists. Apart from one paper, there were no explicit criteria to justify or explain the selection of apps. We found a wide variation in the type and the number of diabetes management features in the recommended apps. Five apps required payment to be used. Two-thirds of the apps had blood glucose management features, and less than half had medication management features. The most prevalent app features were nutrition or diet-related (19/24, 79%) and physical activity tracking (14/24, 58%).

CONCLUSIONS

The ambiguity of app selection and the wide variability in key features of the apps recommended for diabetes management may pose difficulties for patients when selecting the most appropriate app. It is critical to involve patients, clinicians, relevant professional bodies, and policy makers to define the key features an app should have for it to be classified as a "diabetes management" app. The lessons learned here may be extrapolated for the development and recommendation of apps for the management of other chronic conditions.

Meeting patients where they are: improving outcomes in early chronic kidney disease with tailored self-management support (the CKD-SMS study)

BACKGROUND

To achieve optimal health outcomes, people with chronic kidney disease must make changes in their everyday lives to self-manage their condition. This can be challenging, and there is a need for self-management support interventions which assist people to become successful self-managers. While interventions have been developed, the literature in this area is sparse and limited by lack of both individualisation and sound theoretical basis. The aim of this study was to implement and evaluate the Chronic Kidney Disease-Self-Management Support intervention: a theory-based, person-centred self-management intervention for people with chronic kidney disease stages 1-4.

METHODS

A single-sample, pre-post study of an individualised, 12-week intervention based upon principles of social-cognitive theory and person-centred care was conducted with patients attending outpatient renal clinics in Queensland, Australia (N = 66). Data were collected at T0 (pre-intervention) and T1 (post-intervention). Primary outcomes were self-efficacy and self-management behaviour.

RESULTS

There were significant, small-to-medium improvements in primary outcomes (self-efficacy: mean difference + 0.8, 95% CI 0.3-1.2, d = 0.4; self-management behaviour: mean difference + 6.2, 95% CI 4.5-7.9, d = 0.8). There were further significant improvements in secondary outcomes (blood pressure, disease-specific knowledge, physical activity, fruit and vegetable consumption, alcohol consumption, health-related quality of life, psychological distress, and communication with healthcare providers), with effect sizes ranging from negligible to large (all ps < .05).

CONCLUSIONS

Social-cognitive theory shows promise as a framework for providing effective person-centred self-management support to patients within this population, and longer-term evaluation is needed.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12618000066280 . Retrospectively registered 17/01/2018.

CKD Self-management: Phenotypes and Associations With Clinical Outcomes

BACKGROUND

To slow chronic kidney disease (CKD) progression and its complications, patients need to engage in self-management behaviors. The objective of this study was to classify CKD self-management behaviors into phenotypes and assess the association of these phenotypes with clinical outcomes.

STUDY DESIGN

Prospective cohort study.

SETTING & PARTICIPANTS

Adults with mild to moderate CKD enrolled in the Chronic Renal Insufficiency Cohort (CRIC) Study. 3,939 participants in the CRIC Study recruited between 2003 and 2008 served as the derivation cohort and 1,560 participants recruited between 2013 and 2015 served as the validation cohort.

PREDICTORS

CKD self-management behavior phenotypes.

OUTCOMES

CKD progression, atherosclerotic events, heart failure events, death from any cause.

MEASUREMENTS

Latent class analysis stratified by diabetes was used to identify CKD self-management phenotypes based on measures of body mass index, diet, physical activity, blood pressure, smoking status, and hemoglobin A1c concentration (if diabetic); Cox proportional hazards models.

RESULTS

3 identified phenotypes varied according to the extent of implementation of recommended CKD self-management behaviors: phenotype I characterized study participants with the most recommended behaviors; phenotype II, participants with a mixture of recommended and not recommended behaviors; and phenotype III, participants with minimal recommended behaviors. In multivariable-adjusted models for those with and without diabetes, phenotype III was strongly associated with CKD progression (HRs of 1.82 and 1.49), death (HRs of 1.95 and 4.14), and atherosclerotic events (HRs of 2.54 and 1.90; each P < 0.05). Phenotype II was associated with atherosclerotic events and death among those with and without diabetes.

LIMITATIONS

No consensus definition of CKD self-management; limited to baseline behavior data.

CONCLUSIONS

There are potentially 3 CKD self-management behavior phenotypes that distinguish risk for clinical outcomes. These phenotypes may inform the development of studies and guidelines regarding optimal self-management.

Digital Diabetes Congress 2017

The purpose of developing mobile applications for diabetes is generally to: (1) provide enhanced access to timely information for patients, health care professionals, and researchers; (2) facilitate remote monitoring and diagnosis of patients, often based on information delivered by wearable devices; (3) provide decision support to assist patients in selecting treatment; or (4) deliver timely recommendations for treatment to increase adherence to prescribed therapy. There is a perception that mobile applications can provide meaningful clinical benefits, however, there is only sparse convincing evidence to support this belief at the present time. Compounding this problem is the short life span of digital software, such that if a traditional type of randomized controlled trial is conducted on a product, by the time the study has been designed, approved by an IRB, conducted, and analyzed, the product might have significantly changed to a next generation system. Because of great interest in establishing what are the potential benefits, metrics of success, and appropriate components of mobile applications for diabetes, Diabetes Technology Society and William Sansum Diabetes Center launched the Digital Diabetes Congress, March 7-8, 2017, in San Francisco. This report contains summaries of the meeting's 12 sessions. Each summary was written by the session's moderator who helped develop the session prior to the event and keep it on track during the event. This meeting report presents a summary of how 57 panelists, speakers, and moderators, who are leaders in digital health, see the current and future landscape of digital health tools applied to diabetes.

A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support

BACKGROUND

Since the introduction of mobile phones, technology has been increasingly used to enable diabetes self-management education and support. This timely systematic review summarizes how currently available technology impacts outcomes for people living with diabetes.

METHODS

A systematic review of high quality review articles and meta analyses focused on utilizing technology in diabetes self-management education and support services was conducted. Articles were included if published between January 2013 and January 2017.

RESULTS

Twenty-five studies were included for analysis. The majority evaluated the use of mobile phones and secure messaging. Most studies described healthy eating, being active and metabolic monitoring as the predominant self-care behaviors evaluated. Eighteen of 25 reviews reported significant reduction in A1c as an outcome measure. Four key elements emerged as essential for improved A1c: (1) communication, (2) patient-generated health data, (3) education, and (4) feedback.

CONCLUSION

Technology-enabled diabetes self-management solutions significantly improve A1c. The most effective interventions incorporated all the components of a technology-enabled self-management feedback loop that connected people with diabetes and their health care team using 2-way communication, analyzed patient-generated health data, tailored education, and individualized feedback. The evidence from this systematic review indicates that organizations, policy makers and payers should consider integrating these solutions in the design of diabetes self-management education and support services for population health and value-based care models. With the widespread adoption of mobile phones, digital health solutions that incorporate evidence-based, behaviorally designed interventions can improve the reach and access to diabetes self-management education and ongoing support.