Web-based interventions for the management of type 2 diabetes mellitus: a systematic review of recent evidence

Assessing the Effectiveness of Digital Health Behavior Strategies on Type 2 Diabetes Management: Systematic Review and Network Meta-Analysis

BACKGROUND

Various mobile technologies and digital health interventions (DHIs) have been developed for type 2 diabetes mellitus (T2DM) management. Strategies are crucial for ensuring the effectiveness of DHIs. However, there is currently a lack of categorization and summarization of the strategies used in DHIs for T2DM.

OBJECTIVE

This study aims to (1) identify and categorize the strategies used in DHIs for T2DM management; (2) assess the effectiveness of these DHI strategies; and (3) compare and rank the efficacy of different strategy combinations on glycated hemoglobin A1c (HbA1c) levels, fasting blood glucose (FBG) levels, BMI, and weight loss.

METHODS

Relevant randomized controlled trials (RCTs) were extracted from PubMed, Web of Science, and Scopus databases. Three rounds of screening and selection were conducted. The strategies were identified and categorized based on the principles of behavior change techniques and behavior strategies. The synthesis framework for the assessment of health IT was used to structure the evaluation of the DHI strategies qualitatively. A network meta-analysis was performed to compare the efficacy of different strategy combinations. The data quality was assessed using the Cochrane Risk of Bias tool.

RESULTS

A total of 52 RCTs were included, identifying 63 strategies categorized into 19 strategy themes. The most commonly used strategies were guide, monitor, management, and engagement. Most studies reported positive or mixed outcomes for most indicators based on the synthesis framework for the assessment of health IT. Research involving a medium or high number of strategies was found to be more effective than research involving a low number of strategies. Of 52 RCTs, 27 (52%) were included in the network meta-analysis. The strategy combination of communication, engagement, guide, and management was most effective in reducing HbA1c levels (mean difference [MD] -1.04, 95% CI -1.55 to -0.54), while the strategy combination of guide, management, and monitor was effective in reducing FBG levels (MD -0.96, 95% CI -1.86 to -0.06). The strategy combination of communication, engagement, goal setting, management, and support was most effective for BMI (MD -2.30, 95% CI -3.16 to -1.44) and weight management (MD -6.50, 95% CI -8.82 to -4.18).

CONCLUSIONS

Several DHI strategy combinations were effective in reducing HbA1c levels, FBG levels, BMI, and weight in T2DM management. Health care professionals should be encouraged to apply these promising strategy combinations in DHIs during clinical care. Future research should further explore and optimize the design and implementation of strategies.

TRIAL REGISTRATION

PROSPERO CRD42024544629; https://tinyurl.com/3zp2znxt.

The Key Digital Tool Features of Complex Telehealth Interventions Used for Type 2 Diabetes Self-Management and Monitoring With Health Professional Involvement: Scoping Review

BACKGROUND

Therapeutic education and patient self-management are crucial in diabetes prevention and treatment. Improving diabetes self-management requires multidisciplinary team intervention, nutrition education that facilitates self-management, informed decision-making, and the organization and delivery of appropriate health care services. The emergence of telehealth services has provided the public with various tools for educating themselves and for evaluating, monitoring, and improving their health and nutrition-related behaviors. Combining health technologies with clinical expertise, social support, and health professional involvement could help persons living with diabetes improve their disease self-management skills and prevent its long-term consequences.

OBJECTIVE

This scoping review's primary objective was to identify the key digital tool features of complex telehealth interventions used for type 2 diabetes or prediabetes self-management and monitoring with health professional involvement that help improve health outcomes. A secondary objective was to identify how these key features are developed and combined.

METHODS

A 5-step scoping review methodology was used to map relevant literature published between January 1, 2010 and March 31, 2022. Electronic searches were performed in the MEDLINE, CINAHL, and Embase databases. The searches were limited to scientific publications in English and French that either described the conceptual development of a complex telehealth intervention that combined self-management and monitoring with health professional involvement or evaluated its effects on the therapeutic management of patients with type 2 diabetes or prediabetes. Three reviewers independently identified the articles and extracted the data.

RESULTS

The results of 42 studies on complex telehealth interventions combining diabetes self-management and monitoring with the involvement of at least 1 health professional were synthesized. The health professionals participating in these studies were physicians, dietitians, nurses, and psychologists. The digital tools involved were smartphone apps or web-based interfaces that could be used with medical devices. We classified the features of these technologies into eight categories, depending on the intervention objective: (1) monitoring of glycemia levels, (2) physical activity monitoring, (3) medication monitoring, (4) diet monitoring, (5) therapeutic education, (6) health professional support, (7) other health data monitoring, and (8) health care management. The patient-logged data revealed behavior patterns that should be modified to improve health outcomes. These technologies, used with health professional involvement, patient self-management, and therapeutic education, translate into better control of glycemia levels and the adoption of healthier lifestyles. Likewise, they seem to improve monitoring by health professionals and foster multidisciplinary collaboration through data sharing and the development of more concise automatically generated reports.

CONCLUSIONS

This scoping review synthesizes multiple studies that describe the development and evaluation of complex telehealth interventions used in combination with health professional support. It suggests that combining different digital tools that incorporate diabetes self-management and monitoring features with a health professional's advice and interaction results in more effective interventions and outcomes.

Digitally Delivered Interventions to Improve Nutrition Behaviors Among Resource-Poor and Ethnic Minority Groups With Type 2 Diabetes: Systematic Review

BACKGROUND

Resource-poor individuals, such as those with a low income, are disproportionately affected by diabetes and unhealthy eating patterns that contribute to poor disease self-management and prognosis. Digitally delivered interventions have the potential to address some of the barriers to healthy eating experienced by this group. However, little is known about their effectiveness in disadvantaged populations.

OBJECTIVE

This systematic review is conducted to assess the effectiveness of digitally delivered interventions in improving nutritional behaviors and nutrition-related health outcomes among disadvantaged people with type 2 diabetes (T2D).

METHODS

MEDLINE complete, Global Health, Embase, CINAHL complete, Informit Health, IEEE Xplore, and Applied Science and Technology Source databases were searched for studies published between 1990 and 2022 on digitally delivered nutrition interventions for disadvantaged people with T2D. Two reviewers independently assessed the studies for eligibility and determined the study quality using the Cochrane Risk-of-Bias Assessment Tool. The Behavioral Change Technique Taxonomy V1 was used to identify behavior change techniques used in the design of interventions.

RESULTS

Of the 2434 identified records, 10 (0.4%), comprising 947 participants, met the eligibility criteria and were included in the review. A total of 2 digital platforms, web and messaging services (eg, SMS text messaging interventions or multimedia messaging service), were used to deliver interventions. Substantial improvements in dietary behaviors were reported in 5 (50%) of the 10 studies, representing improvements in healthier food choices or increases in dietary knowledge and skills or self-efficacy. Of the 10 studies, 7 (70%) examined changes in blood glucose levels, of which 4 (57%) out of 7 achieved significant decreases in hemoglobin A1C levels ranging from 0.3% to 1.8%. The most frequently identified behavior change techniques across all studies were instruction on how to perform the behavior, information about health consequences, and social support.

CONCLUSIONS

This review provided some support for the efficacy of digitally delivered interventions in improving healthy eating behaviors in disadvantaged people with T2D, an essential dietary prerequisite for changes in clinical metabolic parameters. Further research is needed into how disadvantaged people with T2D may benefit more from digital approaches and to identify the specific features of effective digital interventions for supporting healthy behaviors among disadvantaged populations.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42020149844; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=149844.

Effectiveness of a web-based program on self-care behaviors and glycated hemoglobin in patients with type 2 diabetes: Study protocol of a randomized controlled trial

BACKGROUND

Type 2 diabetes (T2DM) decreases the life expectancy and quality of life of diabetics and causes economic and societal problems. For this purpose, diabetes self-management education and support (DSMES) has been designed for many years, which is recently provided through technology-assisted education. Therefore, we developed a web-based program in accordance with DSMES to assess its effect on self-care behaviors and glycated hemoglobin (HbA1c) for patients with T2DM during the coronavirus disease (COVID-19) pandemic, which is described in detail in this paper.

MATERIALS AND METHODS

This randomized controlled trial (RCT) was performed on 70 diabetic patients in Al-Zahra Hospital for three months. After random allocation, web-based educational content (including videos, lectures, educational motion graphics, text files, educational posters, and podcasts) according to DSMES was provided for the intervention group to improve self-care behaviors and HbA1c levels. The control group received routine educational pamphlets. A diabetes self-management questionnaire (21 questions) with a Likert scale was completed to assess self-care behaviors scores before and after intervention and three months later. Also, HbA1c was determined before and after the intervention. Analysis of variance with repeated measurements will be applied to compare mean scores of self-care behaviors components three times, and an independent t-test analyzed mean differences of HbA1c values.

CONCLUSION

The obtained results of this study might be useful for promoting self-care behaviors and assessing HbA1c in diabetic patients.

Telemedicine for diabetes management during COVID-19: what we have learnt, what and how to implement

The past two decades have witnessed telemedicine becoming a crucial part of health care as a method to facilitate doctor-patient interaction. Due to technological developments and the incremental acquisition of experience in its use, telemedicine's advantages and cost-effectiveness has led to it being recognised as specifically relevant to diabetology. However, the pandemic created new challenges for healthcare systems and the rate of development of digital services started to grow exponentially. It was soon discovered that COVID-19-infected patients with diabetes had an increased risk of both mortality and debilitating sequelae. In addition, it was observed that this higher risk could be attenuated primarily by maintaining optimal control of the patient's glucose metabolism. As opportunities for actual physical doctor-patient visits became restricted, telemedicine provided the most convenient opportunity to communicate with patients and maintain delivery of care. The wide range of experiences of health care provision during the pandemic has led to the development of several excellent strategies regarding the applicability of telemedicine across the whole spectrum of diabetes care. The continuation of these strategies is likely to benefit clinical practice even after the pandemic crisis is over.

Learning in a Virtual Environment to Improve Type 2 Diabetes Outcomes: Randomized Controlled Trial

BACKGROUND

Given the importance of self-management in type 2 diabetes mellitus (T2DM), a major aspect of health is providing diabetes self-management education and support. Known barriers include access, availability, and the lack of follow through on referral to education programs. Virtual education and support have increased in use over the last few years.

OBJECTIVE

The purpose of the Diabetes Learning in a Virtual Environment (LIVE) study was to compare the effects of the LIVE intervention (educational 3D world) to a diabetes self-management education and support control website on diet and physical activity behaviors and behavioral and metabolic outcomes in adults with T2DM over 12 months.

METHODS

The LIVE study was a 52-week multisite randomized controlled trial with longitudinal repeated measures. Participants were randomized to LIVE (n=102) or a control website (n=109). Both contained the same educational materials, but the virtual environment was synchronous and interactive, whereas the control was a flat website. Data were collected at baseline and 3, 6, and 12 months using surveys and clinical, laboratory, and Fitbit measures. Descriptive statistics included baseline characteristics and demographics. The effects of the intervention were initially examined by comparing the means and SDs of the outcomes across the 4 time points between study arms, followed by multilevel modeling on trajectories of the outcomes over the 12 months.

RESULTS

This trial included 211 participants who consented. The mean age was 58.85 (SD 10.1) years, and a majority were White (127/211, 60.2%), non-Hispanic (198/211, 93.8%), married (107/190, 56.3%), and female (125/211, 59.2%). Mean hemoglobin A1c (HbA1c) level at baseline was 7.64% (SD 1.79%) and mean BMI was 33.51 (SD 7.25). We examined weight loss status versus randomized group, where data with no weight change were eliminated, and the LIVE group experienced significantly more weight loss than the control group (P=.04). There were no significant differences between groups in changes in physical activity and dietary outcomes (all P>.05), but each group showed an increase in physical activity. Both groups experienced a decrease in mean HbA1c level, systolic and diastolic blood pressure, cholesterol, and triglycerides over the course of 12 months of study participation, including those participants whose baseline HbA1c level was 8.6% or higher.

CONCLUSIONS

This study confirmed that there were minor positive changes on glycemic targets in both groups over the 12-month study period; however, the majority of the participants began with optimal HbA1c levels. We did find clinically relevant metabolic changes in those who began with an HbA1c level >8.6% in both groups. This study provided a variety of resources to our participants in both study groups, and we conclude that a toolkit with a variety of services would be helpful to improving self-care in the future for persons with T2DM.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02040038; https://clinicaltrials.gov/ct2/show/NCT02040038.

U-shaped association between online information exchange and app usage frequency: a large-scale survey of China 's online young and middle-aged people with pre diabetes and diabetes

Background

China has the world's largest diabetic population, and the cost of caring for all these people every day is substantial. Online information exchange and app usage frequency have been demonstrated to play a significant influence in the management of blood glucose and enhancement of diabetes-related quality of life. However, the association between online information exchange and app usage frequency among actual online populations remains unclear and deserves additional study. Therefore, we evaluated the factors affecting the frequency of app usage in the online glucose management population, with a particular emphasis on the connection between online information exchange and app use frequency, contributing to the expansion of the research of diabetes management models.

Method

This cross-sectional study was conducted by disseminating questionnaires in blood glucose management-related forums and WeChat groups and included 1586 online users concerned about blood glucose management. Information exchange and app usage frequency were considered as independent and dependent variables, respectively. We performed stratified and single factor analysis, multiple equation regression analysis, smooth curve fitting, and threshold effect and saturation effect analysis. R (version 4.1.3, http://www.Rproject.org) and EmpowerStats were used for data analysis.

Result

After adjusting for other covariates, information exchange was independently and positively associated with app use frequency (β = 8.6, 95% CI: 6.5 to 11.2, p < 0.001). Through interaction analysis, the most significant interaction factors influencing the relationship between information exchange and app usage frequency were identified as health insurance status, whether living with parents, glycated hemoglobin status in the previous month, and self-monitoring of blood glucose (SMBG). The association between information exchange and app usage frequency is U-shaped, with information exchange inflection points of 3.0 and 4.2. Information exchange and app usage frequency are negatively correlated when the average information exchange score is less than 3.0, and for every point increase in the average information exchange score, the likelihood of the app high usage frequency group compared to the app low usage frequency group decreases by 70%. The relationship between information exchange and app usage frequency is strongest when it is greater than or equal to 3.0 and less than or equal to 4.2. The probability of the app high usage frequency group occurring compared to the app low usage frequency group rises 17.3 times for every 1 point increase in the average information exchange score. The probability of the app high usage frequency group occurring in comparison to the app low usage frequency group increased by 1.8 times for every 1 point rise in information exchange when the average information exchange score was higher than 4.2.

Conclusion

Age, body mass index, married, living with parents, hemoglobin level, SMBG, and information exchange were positively connected with app usage frequency in our study of online blood glucose management population. The link between information exchange and app use frequency was significantly U-shaped. The app usage frequency changed the most with the rise in information exchange when the information exchange score was greater than or equal to 3.0 and less than or equal to 4.2. Therefore, we ought to offer effort to concentrate on and increase the health-related behaviors and activities of those in this score interval.

Standardization of the assessment process within telerehabilitation in chronic diseases: a scoping meta-review

BACKGROUND

Telerehabilitation (TR) interventions are receiving increasing attention. They have been evaluated in various scientific areas through systematic reviews. However, there is a lack of data on how to standardize assessment and report on their domains to guide researchers across studies and bring together the best evidence to assess TR for chronic diseases.

AIMS AND OBJECTIVES

The aim of this study was to identify domains of assessment in TR and to qualitatively and quantitatively analyze how and when they are examined to gain an overview of assessment in chronic disease.

METHODS

A scoping meta-review was carried out on 9 databases and gray literature from 2009 to 2019. The keyword search strategy was based on "telerehabilitation", "evaluation", "chronic disease" and their synonyms. All articles were subjected to qualitative analysis using the Health Technology Assessment (HTA) Core Model prior to further analysis and narrative synthesis.

RESULTS

Among the 7412 identified articles, 80 studies met the inclusion criteria and addressed at least one of the noncommunicable diseases (NCD) categories of cardiovascular disease (cardiovascular accidents), cancer, chronic respiratory disease, diabetes, and obesity. Regarding the domains of assessment, the most frequently occurring were "social aspect" (n = 63, 79%) (e.g., effects on behavioral changes) and "clinical efficacy" (n = 53, 66%), and the least frequently occurring was "safety aspects" (n = 2, 3%). We also identified the phases of TR in which the assessment was conducted and found that it most commonly occurred in the pilot study and randomized trial phases and least commonly occurred in the design, pretest, and post-implementation phases.

CONCLUSIONS

Through the HTA model, this scoping meta-review highlighted 10 assessment domains which have not been studied with the same degree of interest in the recent literature. We showed that each of these assessment domains could appear at different phases of TR development and proposed a new cross-disciplinary and comprehensive method for assessing TR interventions. Future studies will benefit from approaches that leverage the best evidence regarding the assessment of TR, and it will be interesting to extend this assessment framework to other chronic diseases.

Web-Based Structured Education for Type 2 Diabetes: Interdisciplinary User-Centered Design Approach

BACKGROUND

Digital health research encompasses methods from human-computer interaction and health research.

OBJECTIVE

This paper aims to describe how these methods were combined to develop HeLP-Diabetes: Starting Out, a web-based structured education program for people newly diagnosed with type 2 diabetes.

METHODS

The development process consisted of three phases: initial design for effectiveness, optimization for usability, and in the wild testing in the National Health Service with people newly diagnosed with type 2 diabetes, and further revisions. We adopted an iterative user-centered approach and followed steps from the human-computer interaction design life cycle and the Medical Research Council guidelines on developing and evaluating complex interventions.

RESULTS

The initial design process resulted in an 8-session program containing information and behavior change techniques targeting weight loss, being more active, and taking medication. The usability testing was highlighted at an early stage, where changes needed to be made to the language and layout of the program. The in the wild testing provided data on uptake of and barriers to use. The study suggested low uptake and completion of the program, but those who used it seemed to benefit from it. The qualitative findings suggested that barriers to use included an expectation that the program would take too long. This informed refinements to the program.

CONCLUSIONS

The use of interdisciplinary methods resulted in an iterative development process and refinements to the program that were based on user needs and data on uptake. The final intervention was more suitable for a definitive evaluation than the initial version. The description of our approach informs other digital health researchers on how to make interventions more sensitive to user needs.

A nurse-led conceptual model to inform patient-centred, type 2 diabetes mellitus management in public clinical settings

Background

Globally, there is an increased need to provide patient-centred care for people diagnosed with type 2 diabetes mellitus. In Nigeria, a poorly financed health system has worsened the difficulties associated with managing type 2 diabetes mellitus in clinical settings, causing a detrimental effect on patient-centred care.

Aims

We aimed to develop a conceptual model to promote patient-centred type 2 diabetes mellitus care in clinical settings. We explored nurses’ contextual perceptions of clinical practices and operations in light of type 2 diabetes mellitus management across public hospitals in Lagos, Nigeria. Identifying a nurse-led intervention is critical to care optimisation for people diagnosed with type 2 diabetes mellitus.

Methods

We adopted a qualitative approach. Using the constant comparison method and semi-structured questions and interviewed practice nurses, with over one year’s experience and who were working in public hospitals across Lagos, Nigeria. The framework method was used to analyse the data obtained.

Results

Nurses provided insight into four areas of patient-centred type 2 diabetes mellitus management in clinical settings: empowering collaboration; empowering flexibility; empowering approach; and empowering practice. Nurses discussed an empowering pathway through which health settings could provide patient-centred care to individuals diagnosed with type 2 diabetes mellitus. The pathway entailed the integration of macro, meso and micro levels for patient management. Nurses’ accounts have informed the development of a conceptual model for the optimisation of patient care.

Conclusions

The model developed from this research sits within the patient-centred care model of healthcare delivery. The research sits within the patient-centred care model of healthcare delivery. inform patient-centred care, not only in countries with poorly financed healthcare systems, but in developed countries with comparatively better healthcare.

Cocreation of Massive Open Online Courses to Improve Digital Health Literacy in Diabetes: Pilot Mixed Methods Study

Background

Self-management education is a fundamental aspect in the health care of people with diabetes to develop the necessary skills for the improvement of health outcomes. Patients are required to have the competencies to manage electronic information resources—that is, an appropriate level of digital health literacy. The European project IC-Health aimed to improve digital health literacy among people with diabetes through the cocreation of massive open online courses (MOOCs).

Objective

We report the preliminary results obtained in 3 participating countries in the IC-Health project (Italy, Spain, and Sweden) regarding (1) experience of the participants during the cocreation process of MOOCs, (2) perceived changes in their digital health literacy level after using MOOCs, and (3) a preliminary assessment of the acceptability of MOOCs.

Methods

The cocreation of the MOOCs included focus groups with adults and adolescents with diabetes and the creation of independent communities of practice for type 1 diabetes and type 2 diabetes participants aimed to co-design the MOOCs. Quantitative measures of the acceptability of MOOCs, experience in the cocreation process, and increase in digital health literacy (dimensions of finding, understanding, and appraisal) were assessed.

Results

A total of 28 participants with diabetes participated in focus groups. Adults and adolescents agreed that the internet is a secondary source of health-related information. A total of 149 participants comprised the diabetes communities of practice. A total of 9 MOOCs were developed. Acceptability of the MOOCs and the cocreation experience were positively valued. There was a significant improvement in digital health literacy in both adults and adolescents after using MOOCs (P<.001).

Conclusions

Although the results presented on self-perceived digital health literacy are preliminary and exploratory, this pilot study suggests that IC-Health MOOCs represent a promising tool for the medical care of diabetes, being able to help reduce the limitations associated with low digital health literacy and other communication barriers in the diabetes population.

Effectiveness of diabetes education including insulin injection technique and dose adjustment through telemedicine in hospitalized patients with COVID-19

AIMS

To study the feasibility of diabetes education through telemedicine in patients with diabetes mellitus (DM) hospitalized for coronavirus disease 2019 (COVID-19) management.

METHODS

This was a prospective study of 100 patients with DM who were admitted in a COVID isolation ward for management of COVID-19. Patients managed with multiple subcutaneous insulin injections were eligible. During teleconsultation, diabetes education including insulin injection technique was given by a diabetes educator via a phone call (audio and video) during hospitalization. They were also re-assessed after 2 weeks of discharge from the hospital via teleconsultation or in-person.

RESULTS

Out of 100 patients, 72.0% had prior history of diabetes while 28.0% were newly diagnosed. The median age of our cohort was 56 years and median duration of diabetes was 7.0 years. Telemedicine as a mode of consult for diabetes education was accepted by 96.0% of patients during hospitalization. At 2 weeks' follow-up, 77.0% patients were following insulin instructions correctly and were satisfied with this mode of consultation.

CONCLUSION

Diabetes education using telemedicine as a technology is feasible, acceptable, and effective in the management of most patients with DM. Telemedicine appears to be an effective way to replace routine visits in special situations.

Promoting physical activity in persons with type 2 diabetes mellitus: A systematic review of systematic reviews

OBJECTIVE

There is a large amount of studies about interventions for promoting physical activity (PA) in persons with type 2 diabetes (T2D) as well as several systematic reviews referring to these studies. The objective of this contribution is to provide a systematic review of these systematic reviews.

METHOD

PubMed, PsychInfo and the Cochrane Library were searched for systematic reviews and/or meta-analyses regarding interventions for promoting PA in persons with T2D. The individual reviews and the relationships between the reviews were analysed.

RESULTS

Eighteen reviews were included. Seventeen of these reviews contained references to included trials, amounting to 113 trials in total. Five of the reviews addressed PA interventions in general; six addressed specific devices for delivering the intervention; five addressed specific approaches for giving the participants feedback about their outcomes; and two addressed specific therapeutic approaches. Only 14 cross-references were found.

CONCLUSION

Giving feedback about outcomes and helping people to integrate PA in their daily lives seem to be the most effective intervention components. Basing intervention development on theories seems helpful.

PRACTICAL IMPLICATIONS

Interventions should give feedback about outcomes and help to integrate PA in daily life. Intervention development should be theory-based.

Digital Self-Management Support Tools in the Care Plan of Patients With Cancer: Review of Randomized Controlled Trials

Background

Digital self-management support tools (DSMSTs)—electronic devices or monitoring systems to monitor or improve health status—have become increasingly important in cancer care.

Objective

The aim of this review is to analyze published randomized clinical trials to assess the effectiveness of DSMSTs on physical and psychosocial symptoms or other supportive care needs in adult patients with cancer.

Methods

Five databases were searched from January 2013 to January 2020. English or Dutch language randomized controlled trials comparing DSMSTs with no intervention, usual care, alternative interventions, or a combination and including patients aged ≥18 years with pathologically proven cancer in the active treatment or survivorship phases were included. The results were summarized qualitatively.

Results

A total of 19 publications describing 3 types of DSMSTs were included. Although the content, duration, and frequency of interventions varied considerably across studies, the commonly used elements included an assessment component, tailored symptom self-management support, an information section, a communication section, and a diary. Significant positive effects were observed on quality of life in 6 (out of 10) studies, on anxiety in 1 (out of 5) study and depression in 2 (out of 8) studies, on symptom distress in 5 (out of 7) studies, on physical activity in 4 (out of 6) studies, on dietary behavior in 1 (out of 4) study, and on fatigue in 2 (out of 5) studies. Moreover, significant negative effects were observed on anxiety in 1 (out of 5) study and depression in 1 (out of 8) study. Most interventions were web-based interventions; 2 studies used mobile apps, and 1 study used a game as a DSMST. The overall quality of the studies was found to be good, with 13 out of 19 studies classified as high quality.

Conclusions

This review suggests that DSMSTs have a beneficial effect on the quality of life. For effects on other patient outcomes (eg, anxiety and depression, symptom distress, physical activity, dietary behavior, and fatigue), the evidence is inconsistent and limited or no effect is suggested. Future research should focus on specific tumor types, study different types of interventions separately, and assess the effects of specific interventions at different stages of disease progression.

Designing internet-enabled patient education for self-management of T2D diabetes-The case of the Razavi-Khorasan province in Iran

BACKGROUND

The number of people with diabetes is estimated to increase to 642 million by 2040, with most having type 2 diabetes. Patients with diabetes require continuous monitoring and possible treatment changes. Patient education is the process of enabling individuals to make informed decisions about their personal health-related behaviours and internet-enabled interventions have the potential to provide support and information to patients with diabetes.

OBJECTIVE

The aim of the study was to design a portal prototype based onto two models of care and a contextualised education programme to support the self-management of diabetes patients by involving stakeholders in the Iranian province of Razavi-Khorasan.

METHODS

A Design-Based Research framework was adopted. A qualitative research method was used to analyse interviews with patients and care givers. Mock-ups were developed first and designed with features of user-driven and self-care models of care. The mock-ups also had adaptation features, such as for control of the disease, ability to cure self, and family support. The portal prototype was developed iteratively by building on the mock-ups and evaluated through interviews. The features and elements of the mock-ups and the portal prototype were evaluated in an outpatient diabetes clinic in Mashhad.

RESULTS

Thirty-three participants were involved in the study. The evaluation of the mock-ups resulted in two themes and seven categories: 1) self-care improvement, including self-care requirements and self-management, and 2) educational usefulness, including medical information, information mode, mobility, interaction, and efficiency. The mock-up evaluation was used as a basis for designing a portal prototype. Next, the portal prototype was evaluated, and three categories emerged from the interview data: 1) user experience, 2) functionality, and 3) interactivity. Participants were not able to prioritise between the two care models. Some functionalities of the portal could benefit from the development within a cultural context to determine differences to the best way to present material.

CONCLUSIONS

A portal prototype has been designed to include two care models to support self-management and functionalities that support aspects of culture-specific diabetes self-care. This study provides guidance on developing an internet-enabled educational portal, aimed at providing support for patients in their social context.

A Web-Based Computer-Tailored Program to Improve Treatment Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial

Background

Adherence to core type 2 diabetes mellitus (T2DM) treatment behaviors is suboptimal, and nonadherence is generally not limited to one treatment behavior. The internet holds promise for programs that aim to improve adherence. We developed a computer-tailored eHealth program for patients with T2DM to improve their treatment adherence, that is, adherence to both a healthy lifestyle and medical behaviors.

Objective

The objective of this study is to examine the effectiveness of the eHealth program in a randomized controlled trial.

Methods

Patients with T2DM were recruited by their health professionals and randomized into either the intervention group, that is, access to the eHealth program for 6 months, or a waiting-list control group. In total, 478 participants completed the baseline questionnaire, of which 234 gained access to the eHealth program. Of the 478 participants, 323 were male and 155 were female, the mean age was 60 years, and the participants had unfavorable BMI and HbA_1c levels on average. Outcome data were collected through web-based assessments on physical activity (PA) levels, caloric intake from unhealthy snacks, and adherence to oral hypoglycemic agents (OHAs) and insulin therapy. Changes to separate behaviors were standardized and summed into a composite change score representing changes in the overall treatment adherence. Further standardization of this composite change score yielded the primary outcome, which can be interpreted as Cohen d (effect size). Standardized change scores observed in separate behaviors acted as secondary outcomes. Mixed linear regression analyses were conducted to examine the effectiveness of the intervention on overall and separate treatment behavior adherence, accommodating relevant covariates and patient nesting.

Results

After the 6-month follow-up assessment, 47.4% (111/234) of participants in the intervention group and 72.5% (177/244) of participants in the control group were retained. The overall treatment adherence improved significantly in the intervention group compared with the control group, reflected by a small effect size (d=0.27; 95% CI 0.032 to 0.509; P=.03). When considering changes in separate treatment behaviors, a significant decrease was observed only in caloric intake from unhealthy snacks in comparison with the control group (d=0.36; 95% CI 0.136 to 0.584; P=.002). For adherence to PA (d=−0.14; 95% CI −0.388 to 0.109; P=.27), OHAs (d=0.27; 95% CI −0.027 to 0.457; P=.08), and insulin therapy (d=0.35; 95% CI −0.066 to 0.773; P=.10), no significant changes were observed. These results from the unadjusted analyses were comparable with the results of the adjusted analyses, the per-protocol analyses, and the sensitivity analyses.

Conclusions

Our multibehavior program significantly improved the overall treatment adherence compared with the control group. To further enhance the impact of the intervention in the personal, societal, and economic areas, a wide-scale implementation of our eHealth intervention is suggested.

Trial Registration

Netherlands Trial Register NL664; https://www.trialregister.nl/trial/6664

Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis

BACKGROUND

Diabetes remains a major health problem in the United States, affecting an estimated 10.5% of the population. Diabetes self-management interventions improve diabetes knowledge, self-management behaviors, and clinical outcomes. Widespread internet connectivity facilitates the use of eHealth interventions, which positively impacts knowledge, social support, and clinical and behavioral outcomes. In particular, diabetes interventions based on virtual environments have the potential to improve diabetes self-efficacy and support, while being highly feasible and usable. However, little is known about the patterns of social interactions and support taking place within type 2 diabetes-specific virtual communities.

OBJECTIVE

The objective of this study was to examine social support exchanges from a type 2 diabetes self-management education and support intervention that was delivered via a virtual environment.

METHODS

Data comprised virtual environment-mediated synchronous interactions among participants and between participants and providers from an intervention for type 2 diabetes self-management education and support. Network data derived from such social interactions were used to create networks to analyze patterns of social support exchange with the lens of social network analysis. Additionally, network correlations were used to explore associations between social support networks.

RESULTS

The findings revealed structural differences between support networks, as well as key network characteristics of supportive interactions facilitated by the intervention. Emotional and appraisal support networks are the larger, most centralized, and most active networks, suggesting that virtual communities can be good sources for these types of support. In addition, appraisal and instrumental support networks are more connected, suggesting that members of virtual communities are more likely to engage in larger group interactions where these types of support can be exchanged. Lastly, network correlations suggest that participants who exchange emotional support are likely to exchange appraisal or instrumental support, and participants who exchange appraisal support are likely to exchange instrumental support.

CONCLUSIONS

Social interaction patterns from disease-specific virtual environments can be studied using a social network analysis approach to better understand the exchange of social support. Network data can provide valuable insights into the design of novel and effective eHealth interventions given the unique opportunity virtual environments have facilitating realistic environments that are effective and sustainable, where social interactions can be leveraged to achieve diverse health goals.

Effectiveness of a mobile phone text messaging intervention on dietary behaviour in patients with type 2 diabetes: a post-hoc analysis of a randomised controlled trial

BACKGROUND

Evidence suggests that mobile phone health (mHealth) programs may improve healthy behaviours and clinical outcomes in patients with type 2 diabetes mellitus (T2DM). However, data on mHealth dietary behaviour is scarce in low-and-middle-income countries. This study aims to determine the effectiveness of a text messaging program on dietary habits in patients with T2DM.

METHODS

We performed a post-hoc analysis of a randomised controlled trial of text messaging intervention in 236 patients with T2DM recruited from a tertiary hospital. Data were collected on socio-demographics, mobile phone use, family and medical history, self-reported diseases, medication use, health-seeking behaviour, diet and physical activity. Dietary behaviour was assessed using a modified version of WHO STEPS and the Indian Migration Study Food Frequency Questionnaire. Intervention participants received one message/day over six months focusing on lifestyle modification. Dietary intake of fruits, vegetables, sugar beverages and teaspoons of sugar in tea/coffee were determined in serves-per-week and were analysed using Chi-square tests. Poisson regression models, adjusted for age, sex and baseline values following an intention-to-treat approach were performed and expressed as an estimate of effect size.

RESULTS

At 6 months, the adjusted difference in vegetable consumption was -0.02 serves/week [95% confidence interval (CI): -0.11-0.06, P>0.05] and fruit intake was 0.02 serves/week (95% CI: -0.15-0.21, P>0.05). Consumption of sugar beverages reduced in both groups at 6 months with an adjusted difference of -0.34 serves/week (95% CI: -1.10-0.42, P>0.05). Teaspoons of sugar in tea reduced to 0.1±0.3 teaspoons/week in the control group, however, remained the same at 0.2±0.6 teaspoons/week in the intervention group with an adjusted difference of 0.94 teaspoons/week (95% CI: 0.04-1.84, P<0.05).

CONCLUSIONS

Our results suggest that a text messaging program did not significantly improve dietary behaviour in patients with T2DM. Further studies are warranted to explore the effectiveness of text messaging on dietary behaviour in adults with T2DM.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00005188, http://www.drks.de.

Cost-utility analysis of home-based cardiac rehabilitation as compared to usual post-discharge care: systematic review and meta-analysis of randomized controlled trials

INTRODUCTION

Determining cost-utility differences between home-based cardiac rehabilitation (HBCR) on the one hand, and usual post-discharge care (UC) on the other, can improve resource-allocation in healthcare settings.

AREAS COVERED

In June 2019, PubMed, Web of Science, Scopus, and Cochrane library were searched for randomized controlled HBCR trials. Standardized mean differences (SMDs) of cost and quality-adjusted life years (QALYs) between HBCRs and UCs were calculated using random effect models. Heterogeneity was assessed by inconsistency index (I2) and publication bias by funnel plot and Egger's regression test. Thirteen articles, representing 2,992 participants, were deemed representative for final analysis. In the meta-analysis, a significant difference with respect to QALYs favored HBCR, while no significant cost difference was observed between HBCR and UC. However, subgroup-analysis of trials with different follow-up durations revealed somewhat different results, and HBCR was found to be significantly better with regard to both cost and QALYs for patients with heart failure. Cost-utility analysis categorizing interventions as 'dominant', 'effective', 'doubtful', and 'dominated', found HBCRs dominant.

EXPERT OPINION

Although HBCR tended to be superior compared to UC in this review, larger and more robust trials addressing specific patients groups are needed for definitive results.

Web-Based Interventions for Dietary Behavior in Adults With Type 2 Diabetes: Systematic Review of Randomized Controlled Trials

Background

Type 2 diabetes mellitus (T2DM) is among the most prevalent noncommunicable health conditions worldwide, affecting over 500 million people globally. Diet is a key aspect of T2DM management with dietary modification shown to elicit clinically meaningful outcomes such as improved glycemic control, and reductions in weight and cardiovascular disease risk factors. Web-based interventions provide a potentially convenient and accessible method for delivering dietary education, but its effects on dietary behavior in people with T2DM are unknown.

Objective

The objective of this review was to determine the effectiveness of web-based interventions on dietary behavior change and glycemic control in people with T2DM.

Methods

Per PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, systematic literature searches were performed using Medline, Embase, The Cochrane Library, and CINAHL to retrieve papers from January 2013 to May 2019. Randomized controlled trials of web-based interventions in adults with T2DM with reported dietary assessment were included. Population and intervention characteristics, dietary guidelines and assessments, and significant clinical outcomes were extracted. Differences between groups and within groups were assessed for dietary behavior and clinical outcomes.

Results

There were 714 records screened, and five studies comprising 1056 adults were included. Studies measured dietary changes by assessing overall diet quality, changes in specific dietary components, or dietary knowledge scores. Significant improvements in dietary behavior were reported in four out of the five studies, representing healthier food choices, improvements in eating habits, reductions in carbohydrates, added sugar, sodium, saturated fat and overall fat intake, and/or increases in dietary knowledge. Three studies found significant mean reductions for hemoglobin A1c ranging from –0.3% to –0.8%, and/or weight ranging from –2.3 kg to –12.7 kg, fasting blood glucose (–1 mmol/L), waist circumference (–1 cm), and triglycerides (–60.1 mg/dL). These studies provided varied dietary recommendations from standard dietary guidelines, national health program guidelines, and a very low carbohydrate ketogenic diet.

Conclusions

This review provided evidence that web-based interventions may be an effective way to support dietary behavior change in people with T2DM, potentially leading to changes in glycemic control and other clinical outcomes. However, the evidence should be viewed as preliminary as there were only five studies included with considerable heterogeneity in terms of the diets recommended, the dietary assessment measures used, the complexity of the interventions, and the modes and methods of delivery.

Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review

BACKGROUND

There is growing evidence that apps and digital interventions have a positive impact on diabetes self-management. Standard self-management for patients with diabetes could therefore be supplemented by apps and digital interventions to increase patients' skills. Several initiatives, models, and frameworks suggest how health apps and digital interventions could be evaluated, but there are few standards for this. And although there are many methods for evaluating apps and digital interventions, a more specific approach might be needed for assessing digital diabetes self-management interventions.

OBJECTIVE

This review aims to identify which methods and criteria are used to evaluate apps and digital interventions for diabetes self-management, and to describe how patients were involved in these evaluations.

METHODS

We searched CINAHL, EMBASE, MEDLINE, and Web of Science for articles published from 2015 that referred to the evaluation of apps and digital interventions for diabetes self-management and involved patients in the evaluation. We then conducted a narrative qualitative synthesis of the findings, structured around the included studies' quality, methods of evaluation, and evaluation criteria.

RESULTS

Of 1681 articles identified, 31 fulfilled the inclusion criteria. A total of 7 articles were considered of high confidence in the evidence. Apps were the most commonly used platform for diabetes self-management (18/31, 58%), and type 2 diabetes (T2D) was the targeted health condition most studies focused on (12/31, 38%). Questionnaires, interviews, and user-group meetings were the most common methods of evaluation. Furthermore, the most evaluated criteria for apps and digital diabetes self-management interventions were cognitive impact, clinical impact, and usability. Feasibility and security and privacy were not evaluated by studies considered of high confidence in the evidence.

CONCLUSIONS

There were few studies with high confidence in the evidence that involved patients in the evaluation of apps and digital interventions for diabetes self-management. Additional evaluation criteria, such as sustainability and interoperability, should be focused on more in future studies to provide a better understanding of the effects and potential of apps and digital interventions for diabetes self-management.

Using a Mobile-based Nutritional Intervention Application Improves Glycemic Control but Reduces the Intake of Some Nutrients in Patients with Gestational Diabetes Mellitus: A Case Series Study

The prevalence of gestational diabetes mellitus (GDM) has been increasing worldwide, as has the economic cost associated with this condition. GDM threatens the health of the mother and child, and thus proper monitoring and management are essential. Mobile healthcare services have been applied to manage some diseases, particularly chronic diseases. We aimed to evaluate the utility of a mobile application in nutritional intervention by observing cases of a mobile application in a series of patients with GDM. We provided a mobile-based intervention to GDM patients and collected biochemical and nutritional information. The mobile-based nutritional intervention was effective in controlling carbohydrate intake and improving blood glucose level for patients with GDM.

Effects of the Proactive Interdisciplinary Self-Management (PRISMA) Program on Online Care Platform Usage in Patients with Type 2 Diabetes in Primary Care: A Randomized Controlled Trial

Online care platforms can support patients with type 2 diabetes (T2DM) in managing their health. However, in the use of eHealth, a low participation rate is common. The Proactive Interdisciplinary Self-Management (PRISMA) program, aimed at improving patients' self-management skills, was expected to encourage patients to manage their disease through the use of an online platform. Therefore, the objective of the current study was to investigate whether a group education program can improve the use of an online care platform in patients with T2DM treated by primary care providers in the Netherlands. In a randomized controlled trial, patients with T2DM received either PRISMA with usual care or usual care only. During a six-month follow-up period in 2014-2015, usage (number of log-ons and time spent per session) of an online care platform (e-Vita) aimed at improving T2DM self-management was assessed. A training about the functionalities of e-Vita was offered. The sample consisted of 203 patients. No differences were found between the intervention and control groups in the number of patients who attended the platform training (interested patients) (X 2(1) = 0.58; p = 0.45), and the number of patients who logged on at least once (platform users) (X 2(1) = 0.46; p = 0.50). In addition, no differences were found between the groups in the type of users-patients who logged on twice or more (active users) or patients who logged on once (nonactive users) (X 2(1) = 0.56; p = 0.45). The PRISMA program did not change platform usage in patients with T2DM. In addition, only a small proportion of the patients logged on twice or more. Patients probably need other encouragements to manage their condition using an online platform.

Use of the TIDieR checklist to describe an online structured education programme for type 2 diabetes

OBJECTIVES

The aim of structured education for type 2 diabetes is to improve knowledge, skills and confidence in self-management. It is recommended in the UK for everyone who is newly diagnosed with type 2 diabetes. We developed an on-line programme called HeLP-Diabetes: Starting Out to address poor uptake of face-to-face structured education. The aim of this paper is to describe the intervention in line with the Template for Intervention Description and Replication guide, which calls for better reporting of interventions.

METHODS

The Template for Intervention Description and Replication guide provided the item headings for the description. These included the theoretical underpinning, materials, procedures, providers, and mode of delivery.

RESULTS

The programme was developed to meet NICE requirements for structured education and therefore followed a structured curriculum with four sessions covering content such as what diabetes is and how it is treated, possible complications, and how lifestyle changes can improve health. Content was delivered in text, images and video, and behaviour change techniques, self-assessment and feedback were used to help people target key health behaviours. The programme was delivered entirely online, but the team were available for support via telephone. Email feedback and reminders were sent.

CONCLUSIONS

The TIDieR checklist allowed us to provide a clear structure for the description of the intervention. However, it could not capture the full complexity of the programme, and intervention developers considering using it in the future may find that it needs to be adapted to make it more specific to their intervention.

mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes

BACKGROUND

Mobile- and Internet-delivered (collectively, digital) interventions are widely used by persons with diabetes (PWD) to assist with self-management and improve/maintain glycemic control (hemoglobin A1c [A1c]). However, evidence concerning the acceptance and benefits of such interventions among disadvantaged/vulnerable PWD is still quite limited.

PURPOSE OF REVIEW

We reviewed studies published from 2011-April 2019 evaluating the impact of diabetes self-management interventions delivered via mobile device and/or Internet on glycemic control of disadvantaged/vulnerable adults with type 2 diabetes (T2D). Included studies reported ≥ 50% of the sample having a low socioeconomic status and/or being a racial/ethnic minority, or living in a rural setting or low-/middle-income country (LMIC). We identified 21 studies evaluating a digital intervention among disadvantaged/vulnerable PWD.

RECENT FINDINGS

Although many digital interventions found within-group A1c improvements (16 of 21 studies), only seven of the seventeen studies with a control group found between-group differences in A1c. Three studies found reductions in emergency room (ER) visits and hospitalizations. We synthesize this information, and provide recommendations for increasing access, and improving the design and usability of such interventions. We also discuss the role of human support in digital delivery, issues related to study design, reporting, economic value, and available research in LMICs. There is evidence suggesting that digital interventions can improve diabetes control, healthcare utilization, and healthcare costs. More research is needed to substantiate these early findings, and many issues remain in order to optimize the impact of digital interventions on the health outcomes of disadvantaged/vulnerable persons with diabetes.

User Experiences of an Electronic Personal Health Record for Diabetes

BACKGROUND

My Diabetes My Way (MDMW) is an electronic personal health record (ePHR) that provides access to educational resources and clinical data to people with diabetes in Scotland. This questionnaire study aims to assess user experience, barriers to access, and inform future development.

METHODS

All active MDMW users (n = 3797) were invited to complete an online questionnaire in May 2015, surveying usage patterns and system utility. A "utility score" was calculated, based on responses to Likert-scale questions and used as the dependent variable within regression analysis, with demographic features as independent predictors. Free-text responses were analyzed thematically and presented using descriptive statistics.

RESULTS

A total of 1095/3797 (27.5%) active users completed the survey. Of them, 690/1095 (63%) were male. There was representation of all age and socioeconomic groups. Respondents were positive regarding the system utility, which met expectations. The majority of respondents believed that online access to diabetes information has the potential to improve diabetes self-care within the population. The most valued features were personal clinical data associated visualizations. Th main problems cited were data accuracy and system access (ie, log-in procedure). Perceived usefulness of the system was inversely associated with duration of diabetes, which was the only significant predictor of utility score.

CONCLUSIONS

This study has demonstrated that MDMW users find the system useful in supporting diabetes self-management. The system was found to have greatest utility among those most recently diagnosed with diabetes. This study has informed further development of the service, including enhancing data visualization and the need to improve access to the system.

Development and Evaluation of an Internet-Based Diabetes Nutrition Education Resource

Nutritional education for pre- and type 2 diabetes empowers individuals to make positive dietary and lifestyle choices. As the world migrates to digital devices, opportunities arise for education resources to reach a broad spectrum of society. This study aimed to develop and test the effectiveness of an electronic nutritional education resource for people with pre- and type 2 diabetes within the multi-ethnic New Zealand population. A needs assessment was conducted via ethnic-specific discussion groups (n = 29), followed by a population-based online survey (n = 448). An educational resource, including an educational video and pre- and post-questionnaires, was developed and tested online among 156 participants (17 with pre- and type 2 diabetes, 118 interested lay public and 21 health professionals). There was a strong desire to learn nutrition through simple, visual, practical, and culturally appropriate online educational resources. After interacting with the educational resource, the accuracy of identifying foods that increase blood glucose concentration improved by 17.4% (p = 0.013) in people with pre- and type 2 diabetes, 12.8% (p = 0.003) in health professionals, and 16.3% (p < 0.001) in interested lay public. There was an improvement among ethnic minority participants of 14.1% (p = 0.003). Most participants expressed intentions to make positive dietary and lifestyle choices. The electronic nutrition education resource was found to be an effective means for delivering education. It has potential to bridge the gap between the limited supply of healthcare resources and the increasing demand for diabetes nutrition education.

A Self-Regulation-Based eHealth and mHealth Intervention for an Active Lifestyle in Adults With Type 2 Diabetes: Protocol for a Randomized Controlled Trial

Background

Adoption of an active lifestyle plays an important role in the management of type 2 diabetes. Online interventions targeting lifestyle changes in adults with type 2 diabetes have provided mixed results. Previous research highlights the importance of creating theory-based interventions adapted to the population’s specific needs. The online intervention “MyPlan 2.0” targets physical activity and sedentary behavior in adults with type 2 diabetes. This intervention is grounded in the self-regulation framework and, by incorporating the feedback of users with type 2 diabetes, iteratively adapted to its target population.

Objective

The aim of this paper is to thoroughly describe “MyPlan 2.0” and the study protocol that will be used to test the effectiveness of this intervention to alter patients’ levels of physical activity and sedentary behavior.

Methods

A two-arm superiority randomized controlled trial will be performed. Physical activity and sedentary behavior will be measured using accelerometers and questionnaires. Furthermore, using questionnaires and diaries, patients’ stressors and personal determinants for change will be explored in depth. To evaluate the primary outcomes of the intervention, multilevel analyses will be conducted.

Results

The randomized controlled trial started in January 2018. As participants can start at different moments, we aim to finish all testing by July 2019.

Conclusions

This study will increase our understanding about whether and how a theory-based online intervention can help adults with type 2 diabetes increase their level of physical activity and decrease their sedentary time.

International Registered Report Identifier (IRRID)

DERR1-10.2196/12413

Online patient education interventions in type 2 diabetes or cardiovascular disease: A systematic review of systematic reviews

AIMS

Online patient education is a growing form of support to patients with chronic conditions, including type 2 diabetes (Type 2 DM) and cardiovascular disease (CVD). Multiple systematic reviews have been undertaken on this topic with conflicting results. We aim to explore the applications of online patient education in Type 2 DM and CVD and synthesise current evidence.

METHODS

A systematic review of systematic reviews was performed. Ovid Medline, EMBASE and Cochrane Database were searched between January 2005 and May 2018. Systematic reviews considering patient outcomes of online education interventions for adults with Type 2 DM and/or CVD were included. Quality assessment and data extraction was carried out in duplicate, and data combined using narrative synthesis. The PROSPERO registration number is CRD42016034018.

RESULTS

Twenty-three systematic reviews were eligible, synthesizing evidence from 87 distinct primary studies. Six reviews were high quality, nine used meta-analysis. Biological, behavioural, psychological, knowledge and self-efficacy measures are all potential targets. The outcomes most consistently showing benefits were knowledge and social support.

CONCLUSIONS

Online patient education has wide ranging benefits for people with Type 2 DM or CVD. Strengths of this review include its comprehensive synthesis of the large amount of literature on this topic.

Recent advances in computational tools and resources for the self-management of type 2 diabetes

Background: While healthcare systems are investing resources on type 2 diabetes patients, self-management is becoming the new trend for these patients. Due to the pervasiveness of computing devices, a number of computerized systems are emerging to support the self-management of patients.Objective: The primary objective of this review is to identify and categorize the computational tools that exist for the self-management of type 2 diabetes, and to identify challenges that need to be addressed.Results: The tools have been categorized into web applications, mobile applications, games and ubiquitous diabetes management systems. We provide a detailed description of the salient features of each category along with a comparison of the various tools, listing their challenges and practical implications. A list of platforms that can be used to develop new tools for the self-management of type 2 diabetes, namely mobile applications development, sensor development, cloud computing, social media, and machine learning and predictive analysis platforms, are also provided.Discussions: This paper identifies a number of challenges in the existing categories of computational tools and consequently presents possible avenues for future research. Failure to address these issues will negatively impact on the adoption rate of the self-management tools and applications.

[E-coaching, a new prevention tool]

E-coaching is an emerging therapeutic tool. It provides effective support for patients using a progressive, adaptive and viable model. It has a vast scope of application and the population likely to comply with it is significant. The framework for its use, yet to be defined, could be similar to that of a medication-based therapy.

A web-based program to improve treatment adherence in patients with type 2 diabetes: Development and study protocol

BACKGROUND

Many patients with type 2 diabetes mellitus (T2DM) sub-optimally adhere to core treatment recommendations, such as healthy diets, sufficient physical activity and pharmacological support. This paper describes the development of the web-based computer-tailored program My Diabetes Profile (MDP), incorporating identified success factors of web-based interventions, and the protocol for testing the effectiveness of this program in a randomized multicentre trial.

METHODS

Formative research - including the input of a program committee, qualitative and quantitative studies with patients and health professionals and a literature search - yielded input for the development of the MDP program. MDP provides video and text tailored advice, based on determinants and salient beliefs derived from the I-Change Model, on decreasing unhealthy snack intake, increasing physical activity, and improving adherence to both oral blood glucose lowering drugs and self-administered insulin therapy. Patients with T2DM recruited by practice nurses and diabetes nurses across the Netherlands fill in online questionnaires at baseline and six-months follow-up. Participants are randomized on patient level to the intervention group (access to the MDP program) or control group (receiving care as usual).

DISCUSSION

The formative research using co-creation principles proved essential in the development of the MDP program and involved various disciplines in T2DM management including target group representatives. Co-creation revealed clearly that patients needed short and attractive messages. Consequently, a mix of video and short text messages were chosen for the ultimate program format. Pilot testing was useful to further shape the program to needs of patients and professionals.

TRIAL REGISTRATION

Dutch Trial Register NTR6840; Archived program website: http://www.webcitation.org/6xXz01S7X.

Impact of an intelligent chronic disease management system on patients with type 2 diabetes mellitus in a Beijing community

Background

Rapid demographic and economic changes have made chronic disease the number one health issue in China, contributing to more than 80% of the country’s 10.3 million annual deaths and nearly 70% of its total disease burden (Wang et al., Toward a Healthy and Harmonious Life in China: Stemming the Rising Tide of Non-Communicable Diseases, 2011; Yip and Hsiao, Lancet 384: 805-18, 2014). Diabetes is a major contributor to the chronic disease burden and is experienced by nearly 11% of the adult population of China (Yang et al., N Engl J Med 362:1090-101, 2010).

In response to the challenges of chronic disease, the Chinese government initiated comprehensive health care reforms nationwide in 2009. A key measure was a hierarchical diagnosis and treatment system for monitoring and reducing chronic diseases and improving the community health service system (Barber et al., Health Policy Plan 29:367-78, 2014). Primary hospitals, such as community health service centers, are the main gatekeepers for management of diabetes and other chronic diseasesin China. In recognition of the need for a more patient-centered approach, the Chinese government has piloted a program incorporating methods of diabetes self-management for chronic care: the Happy Life Club (Browning et al., Front in Public Health 2:181, 2015). This program is modeled on a similar program developed in Australia (Kelly et al., Aust J Prim Health 9:186-9, 2003). The ICDMS is an important tool in the implementation of patient-centered programs targeting chronic health issues, and its success is determined by factors, such as frequent contact between patients and doctors and effective website training for patients.

This retrospective study used de-identified data from the Fangzhuang (Beijing) intelligent chronic disease management system (ICDMS) database to evaluate the effect of an intelligent chronic disease management system on selected Beijing community patients who have type 2 diabetes mellitus (T2DM).

Methods

A comparative study before and after ICDMS implementation was performed to evaluate the effect of ICDMS on the rates of follow-up and laboratory examinations, measurement rates of blood glucose and lipids, glycosylated hemoglobin (HbA1c) and blood lipid levels, as well as the corresponding health parameters. Continuous variables and categorical variables were analyzed using paired t-test and McNemar’s tests, respectively.

Results

A total of 2451 T2DM patients met inclusion/exclusion criteria. Compared with the pre-index period, the laboratory examination, rates of blood glucose and blood lipids increased significantly in the post-index period (p < 0.001). Triglyceride (TC) levels decreased significantly from 5.22 mmol/L to 5.11 mmol/L (p < 0.05), and high density lipoprotein-cholesterol (HDL-C) levels increased significantly from 1.35 mmol/L to 1.48 mmol/L (p < 0.05). The control rate of TC increased from 24.86 to 29.76% (p = 0.079). The control rate of low density lipoprotein-cholesterol (LDL-C) increased from 12.16 to 13.97% (p = 0.421), while the control rate of HDL-C increased significantly from 68.60 to 78.77%. Importantly, Compared with the patients with HbA1C above 7% in the pre-index period, the mean HbA1c decreased significantly from 7.84 to 6.94%((p < 0.001) in the post-index period, and the control rate of HbA1c was 57.43%.

Conclusions

The intelligent chronic disease management system is an effective tool in the management of T2DM and should be promoted by the Community Health Service Center in China as well as in other developing countries.

Effect of Health Information Technologies on Glycemic Control Among Patients with Type 2 Diabetes

PURPOSE OF REVIEW

This study was to present meta-analysis findings across selected clinical trials for the effect of health information technologies (HITs) on glycemic control among patients with type 2 diabetes.

RECENT FINDINGS

HITs may be promising in diabetes management. However, findings on effect size of glycated hemoglobin level (HbA1c) yielded from HITs varied across previous studies. This is likely due to heterogeneity in sample size, adherence to standard quantitative method, and/or searching criteria (e.g., type of HITs, type of diabetes, specification of patient population, randomized vs. nonrandomized trials). We systematically searched Medline, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and the Cochrane Library for peer-reviewed randomized control trials that studied the effect of HITs on HbA1c reduction. We also used Google Scholar and a hand search to identify additional studies. Thirty-four studies (40 estimates) met the criteria and were included in the analysis. Overall, introduction of HITs to standard diabetes treatment resulted in a statistically and clinically reduced HbA1c. The bias adjusted HbA1c reduction due to the combined HIT interventions was - 0.56 [Hedges' g = - 0.56 (- 0.70, - 0.43)]. The reduction was significant across each of the four types of HIT intervention under review, with mobile phone-based approaches generating the largest effects [Hedges' g was - 0.67 (- 0.90, - 0.45)]. HITs can be an effective tool for glycemic control among patients with type 2 diabetes. Future studies should examine long-term effects of HITs and explore factors that influence their effectiveness.

Effect of a Health Coach Intervention for the Management of Individuals With Type 2 Diabetes Mellitus in China: A Pragmatic Cluster Randomized Controlled Trial

Aim: To determine the effect of a health coach intervention for the management of glycemic control, as well as physiological, psychological and self-care outcomes of patients with type 2 diabetes mellitus (T2DM), compared with usual care. Methods: This pragmatic cluster RCT was conducted in the Fengtai district of Beijing from August 2011 to December 2013. Forty-one community health stations (CHSs) were cluster randomized (stratified geographically, 1:1 ratio) and eligible, randomly selected T2DM patients were sequentially contacted by CHSs. Control participants received usual care according to the Chinese Guideline for Diabetes Prevention and Management. Intervention participants received 18-months of health coaching based on principles of Motivational Interviewing (MI) plus usual care. Medical and pathology fees were waived for both groups. Outcome assessment was performed at baseline, 6, 12, and 18-months. The primary outcome was glycated hemoglobin (HbA1c); secondary outcomes encompassed a suite of physiological, psychological and self-care measures. Results: No differential treatment effect was found at 18-months for HbA1c (adj. difference -0.07, 95% CI -0.53 to 0.39, p = 0.769) or any specified secondary outcomes. Interestingly, both groups displayed a statistically and clinically significant within-group improvement of the same magnitude at 18-months for HbA1c (intervention: mean change -3.65, 95% CI -3.92 to -3.37; control: mean change -3.38, 95% CI -3.67 to -3.08). Conclusions: The lack of differential treatment effects observed indicate that it may be premature to recommend the routine delivery of health coach interventions based on MI principles for the management of T2DM in China. However, the large, comparable within-group improvement in mean HbA1c promotes the establishment of free, regular clinical health assessments for individuals with T2DM in China.

TRIAL REGISTRATION

ISRCTN registry - ISRCTN01010526 (https://doi.org/10.1186/ISRCTN01010526).

Web-Based Interventions for Depression in Individuals with Diabetes: Review and Discussion

Background

Depression is twice as common in people with diabetes, and this comorbidity worsens the course of both pathologies. In clinical practice guidelines, screening and treatment of depression in patients with diabetes are highly recommended. However, depression is still both underrecognized and undertreated. To find ways to enhance their reach, psychological treatments have taken advantage of benefits of internet and technological devices as delivery formats, providing interventions that require considerably less (or even no) interaction time with therapists. Web-based treatments hold promise for effective interventions at low cost with positive results.

Objective

The objectives of this review were to describe Web-based interventions for depression in individuals with diabetes and to discuss these studies’ procedures and findings in light of evidence from a wider range of interventions for depression and diabetes.

Methods

A comprehensive literature search was conducted in PsycINFO and MEDLINE electronic databases. Studies were included when they met the following selection criteria: the study was available in a peer-reviewed journal mainly publishing studies written in either English or Spanish; the studied sample comprised individuals with diabetes; the intervention targeted depression symptomatology; the intervention was accessible via the internet; and the intervention was accessible via the internet with little or no clinician support.

Results

Overall, 5 research studies were identified in the review. All studies were randomized controlled trials, and most used a wait list as a control; 4 studies reported treatment dropout, rates of which varied from 13% to 42%. Studies supported the notion that the Web-based format is a suitable psychology service delivery option for diabetic individuals with depression (effect size range for completers 0.7-0.89). Interventions varied in their characteristics but most were clinical-assisted, had a cognitive behavioral therapy approach, used diabetes-specific topics, had a weekly modular display, used homework assignments, and had some adherence management strategy. These characteristics are consistent with the intervention features associated with positive results in the literature.

Conclusions

The analyzed studies’ findings and procedures are discussed in light of evidence drawn from a wider range of reviews on Web-based interventions for depression and diabetes. Consistent with previous research on depression treatment, Web-based interventions for depression among individuals with diabetes have shown positive results. Future research should contribute new evidence as to why these interventions are effective, for whom, and which particular aspects can increase patients’ adherence.

The impact of telehealth remote patient monitoring on glycemic control in type 2 diabetes: a systematic review and meta-analysis of systematic reviews of randomised controlled trials

Background

There is a growing body of evidence to support the use of telehealth in monitoring HbA1c levels in people living with type 2 diabetes. However, the overall magnitude of effect is yet unclear due to variable results reported in existing systematic reviews. The objective of this study is to conduct a systematic review and meta-analysis of systematic reviews of randomised controlled trials to create an evidence-base for the effectiveness of telehealth interventions on glycemic control in adults with type 2 diabetes.

Methods

Electronic databases including The Cochrane Library, MEDLINE, EMBASE, HMIC, and PsychINFO were searched to identify relevant systematic reviews published between 1990 and April 2016, supplemented by references search from the relevant reviews. Two independent reviewers selected and reviewed the eligible studies. Of the 3279 references retrieved, 4 systematic reviews reporting in total 29 unique studies relevant to our review were included. Both conventional pairwise meta-analyses and network meta-analyses were performed.

Results

Evidence from pooling four systematic reviews found that telehealth interventions produced a small but significant improvement in HbA1c levels compared with usual care (MD: -0.55, 95% CI: -0.73 to − 0.36). The greatest effect was seen in telephone-delivered interventions, followed by Internet blood glucose monitoring system interventions and lastly interventions involving automatic transmission of SMBG using a mobile phone or a telehealth unit.

Conclusion

Current evidence suggests that telehealth is effective in controlling HbA1c levels in people living with type 2 diabetes. However there is need for better quality primary studies as well as systematic reviews of RCTs in order to confidently conclude on the impact of telehealth on glycemic control in type 2 diabetes.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-3274-8) contains supplementary material, which is available to authorized users.

Challenges in everyday life among recently diagnosed and more experienced adults with type 2 diabetes: A multistage focus group study

AIMS AND OBJECTIVES

To identify perceived challenges related to self-management among recently diagnosed adults and those with longer experience of type 2 diabetes as a foundation for the future development of a person-centred information and communication technology service.

BACKGROUND

Learning self-management of type 2 diabetes includes mastering the skills required to complete complex emotional and physical tasks. A service developed with the participation of stakeholders may be an alternative way to meet rising needs for self-management.

DESIGN

Qualitative descriptive design influenced by a participatory approach.

METHODS

Multistage focus group interviews among one group of recently diagnosed (≤3 years, n = 4) adults and one group with longer experience (≥5 years, n = 7) of type 2 diabetes.

RESULTS

Challenges in self-management in everyday life with type 2 diabetes were identified: understanding; developing skills and abilities; and mobilising personal strengths. Both groups described challenges in understanding the causes of fluctuating blood glucose and in developing and mobilising skills for choosing healthful food and eating regularly. The recently diagnosed group was more challenged by learning to accept the diagnosis and becoming motivated to change habits while the experienced group was mainly challenged by issues about complications and medications.

CONCLUSION

Adults with diabetes have different needs for support during different phases of the disease. From a person-centred perspective, it would be desirable to meet individual needs for self-management on peoples' own terms through a technological service that could reach and connect to a large number of people.

RELEVANCE TO CLINICAL PRACTICE

Diabetes nurses need to address the knowledge needs of patients with diabetes and support them in developing self-management skills. Consistent with person-centred care, practitioners should also encourage patients' abilities to mobilise their own personal strengths to maintain self-management.

Randomised-controlled trial of a web-based dietary intervention for patients with type 2 diabetes: changes in health cognitions and glycemic control

BACKGROUND

Increasing prevalence and disease burden has led to an increasing demand of programs and studies focused on dietary and lifestyle habits, and chronic diseases such as type 2 diabetes mellitus (T2DM). We evaluated the effects of a 6-month web-based dietary intervention on Dietary Knowledge, Attitude and Behaviour (DKAB), Dietary Stages of Change (DSOC), fasting blood glucose (FBG) and glycosylated haemoglobin (HbA1c) in patients with uncontrolled HbA1c (> 7.0%) in a randomised-controlled trial (myDIDeA) in Malaysia.

METHODS

The e-intervention group (n = 62) received a 6-month web-delivered intensive dietary intervention while the control group (n = 66) continued with their standard hospital care. Outcomes (DKAB and DSOC scores, FBG and HbA1c) were compared at baseline, post-intervention and follow-up.

RESULTS

While both study groups showed improvement in total DKAB score, the margin of improvement in mean DKAB score in e-intervention group was larger than the control group at post-intervention (11.1 ± 0.9 vs. 6.5 ± 9.4,p < 0.001) and follow-up (19.8 ± 1.1 vs. 7.6 ± 0.7,p < 0.001), as compared to the baseline. Although there was no significant difference between intervention and control arms with respect to DSOC score and glycaemic control, the e-intervention group showed improved DSOC score (199.7 ± 18.2 vs193.3 ± 14.6,p = 0.046), FBG (7.9 ± 2.5 mmol/L vs. 8.9 ± 3.9 mmol/L,p = 0.015) and HbA1c (8.5 ± 1.8% vs. 9.1 ± 2.0%,p = 0.004) at follow-up compared to the baseline, whereas such improvement was not seen in the control group.

CONCLUSIONS

Most important impact of myDIDeA was on the overall DKAB score. This study is one of the first to demonstrate that an e-intervention can be a feasible method for implementing chronic disease management in developing countries. Concerns such as self-monitoring, length of intervention, intense and individualized intervention, adoption of other domains of Transtheoretical Model and health components, and barriers to change have to be taken into consideration in the development of future intervention programs.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01246687 .

GET.HAPPY - Acceptance of an internet-based self-management positive psychology intervention for adult primary care patients with mild and moderate depression or dysthymia: A pilot study

INTRODUCTION

A growing number of internet interventions have been shown to help in alleviating symptoms of depression. So far, only little research has focused on other methods than CBT. The present study aimed to investigate the level of satisfaction with a positive psychology online training among patients with mild and moderate depression or dysthymia. Secondary outcome measures included changes in symptom severity, health related quality of life, and negative effects.

METHODS

A total of 81 participants were allocated to the intervention. They were asked to complete online questionnaires and were called by one of the study psychologists at baseline, at post-treatment, and at follow-up (3 months after completion of the intervention). Shorter questionnaires were administered after each module.

RESULTS

Overall satisfaction was promising. While participants seemed to be very satisfied with many aspects of the program itself, they were slightly less satisfied with its impact on the problems they sought to solve. Overall, negative effects attributed to the program were small with one exception. At post-treatment, 22.6% of the participants felt that they or their problems were not taken seriously by the program. Symptom severity decreased over time with mild to moderate effect sizes. There was a moderate increase in satisfaction with mental health at both post-treatment and follow-up.

CONCLUSIONS

The online program investigated here may be a useful resource-oriented addition to the standard treatment of depression.

Effects of web-based instruction and patient preferences on patient-reported outcomes and learning for women with advanced ovarian cancer: A randomized controlled trial

A randomized controlled trial was conducted of a web-based intervention to improve advanced care planning in women with ovarian cancer. A secondary analysis of 35 randomized women focused on changes in distress and knowledge about ovarian cancer through distress monitoring and information tailored to patients' cognitive coping style (monitoring, blunting). Pre-/postresults indicated the Intervention group demonstrated lower distress (p = 0.06); blunting was associated with lower depression (p = 0.04); knowledge in both groups was unchanged. Women in the Intervention vs. Control group reported their family was less likely to be upset by cancer information (p = 0.0004). This intervention reduced distress while incorporating patient preferences.

Diabetes Care in the Digital Era: a Synoptic Overview

PURPOSE OF REVIEW

Diabetes care is undergoing a remarkable transformation by the advancements in information and communications technology (ICT). The aim of this review is to provide a general overview of various ICT-based interventions for diabetes care, challenges of their adoption, and consider future directions.

RECENT FINDINGS

A number of systematic reviews have examined studies on various aspects of telemedicine and eHealth for diabetes care, but they are generally focused on one specific type of technology application for diabetes care. A wide range of solutions from manual or automated telephone calls, short message services, websites, mobile health apps, remote monitoring devices, and sophisticated artificial intelligence systems has been studied in different settings and scopes with mixed results. However, despite the promising results of research studies, such innovative solutions are not widely adopted by health systems worldwide. Lack of supportive policy and legislation, unsustainable reimbursement, inefficient business models, and concerns regarding the security and privacy of health data are among the most problematic barriers.

Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials

Background

The popularity of internet as an area of research has grown manifold over the years. Given its rapid development and increasing coverage worldwide, internet-based interventions seem to offer a promising option to ameliorate huge burdens brought by type 2 diabetes mellitus. However, studies conducted by different researchers have provided contradictory results on the effect of internet-based interventions in glycemic control.

Objective

This meta-analysis aims to summarize currently available evidence and evaluate the overall impact of internet-based interventions on glycemic management of type 2 diabetic patients.

Methods

A systematic literature search was performed in PubMed, ScienceDirect, and Web of Science. Randomized controlled trials that used glycosylated hemoglobin values as the outcome measure of glycemic control were considered. Risk of bias and publication bias were evaluated.

Results

Of the 492 studies, 35 were included in meta-analysis, and results indicated that the weighted mean difference (WMD) between usual care and internet-based interventions at endpoint was –0.426% (95% CI –0.540 to –0.312; P<.001). Subgroup analyses revealed that intervention duration ≤3 months yielded optimal performance (WMD –0.51%; 95% CI –0.71 to –0.31; P<.001). Combined mobile and website interventions were substantially superior to solely Web-based and mobile-based interventions in glycemic control (combined WMD –0.77%, 95% CI –1.07 to –0.47; P<.001; Web only: WMD –0.48%; 95% CI –0.71 to –0.24, P<.001; mobile only WMD –0.31%, 95% CI –0.49 to –0.14; P<.001). Furthermore, the effect of interventions with automated feedbacks was similar to those with manual feedbacks, and studies with internet-based educational contents were more effective in glycemic control. The assessment revealed a low risk of bias.

Conclusions

In conclusion, utilization of internet-based intervention is beneficial for patients with type 2 diabetes mellitus, and taking full advantage of this type of intervention may substantially reduce the incidence of complications and improve quality of life.

Trial Registration

International Prospective Register of Systematic Reviews (PROSPERO): CRD42017058032; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=58032 (Archived by WebCite at http://www.webcitation.org/6yY7eQNHr)

The effects of Internet-based exercise compared with supervised group exercise in people with type 2 diabetes: a randomized controlled study

OBJECTIVES

To compare the effects of Internet-based exercise on glycaemic control, blood lipids, body composition, physical activity level, functional capacity, and quality of life with supervised group exercise in patients with type 2 diabetes.

DESIGN

Single-blind, randomized controlled study.

SETTING

A Faculty of Health Sciences.

SUBJECTS

A total of 65 patients with type 2 diabetes (47 women, 18 men).

INTERVENTION

Group A ( n = 22), control group - physical activity counselling once with a brochure. Group B ( n = 22), supervised group-based exercise, three days per week for eight weeks. Group C ( n = 21), Internet-based exercise following the same programme via a website.

MAIN MEASURES

Primary outcomes - glycosylated haemoglobin, fasting blood glucose, high-density and low-density lipoprotein, triglyceride, and cholesterol. Secondary outcomes - waist and hip circumferences, body mass index, number of steps, six-minute walking test, and Euro-Quality of Life-5 Dimension.

RESULTS

After treatment, glycaemic control (mean change for Group B; Group C; -0.80%, -0.91%, P = 0.003), waist circumference (-4.23 cm, 5.64 cm, P = 0.006), and quality of life (0.26, 0.15, P = 0.013) significantly improved in both training groups compared with the control group. Fasting blood glucose (-46.86 mg/dL, P = 0.009) and hip circumference (-2.7 cm, P = 0.011) were significantly decreased in Group B and total cholesterol (-16.4 mg/dL, P = 0.028), six-minute walking distance (30.5 m, P = 0.01), and number of steps (1258.05, P = 0.023) significantly improved in Group C compared with control group. Group B and Group C changed with equal magnitude.

CONCLUSION

In type 2 diabetes, supervised group-based and Internet-based exercise can improve equally glycaemic control, waist circumference, and quality of life, and both are better than simply counselling.

Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review

RATIONAL, AIMS AND OBJECTIVES

The aim of this review was to identify general theoretical frameworks used in online social network interventions for behavioral change. To address this research question, a PRISMA-compliant systematic review was conducted.

METHODS

A systematic review (PROSPERO registration number CRD42014007555) was conducted using 3 electronic databases (PsycINFO, Pubmed, and Embase). Four reviewers screened 1788 abstracts.

RESULTS

15 studies were selected according to the eligibility criteria. Randomized controlled trials and controlled studies were assessed using Cochrane Collaboration's "risk-of-bias" tool, and narrative synthesis. Five eligible articles used the social cognitive theory as a framework to develop interventions targeting behavioral change. Other theoretical frameworks were related to the dynamics of social networks, intention models, and community engagement theories. Only one of the studies selected in the review mentioned a well-known theory from the field of health psychology.

CONCLUSION

Conclusions were that guidelines are lacking in the design of online social network interventions for behavioral change. Existing theories and models from health psychology that are traditionally used for in situ behavioral change should be considered when designing online social network interventions in a health care setting.

Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials

Objective

To reveal the effects of consumer-oriented health information technologies (CHITs) on patient outcomes in diabetes management over time through systematic review and meta-analysis.

Methods

We searched 5 electronic databases (from database inception to July 2016) for studies that reported on randomized controlled trials examining the effects of CHITs on glycemic control and other patient outcomes in diabetes management. Data were analyzed using either meta-analysis or a narrative synthesis approach.

Results

Eighty randomized controlled trial studies, representing 87 individual trials, were identified and included for analysis. Overall, the meta-analysis showed that the use of CHITs resulted in significant improvement in glycemic control compared to usual care (standardized mean difference = -0.31%, 95% confidence interval -0.38 to -0.23, P  < .001) in patients with diabetes. Specifically, improvement in glycemic control was significant at intervention durations of 3, 6, 8, 9, 12, 15, 30, and 60 months, while no significant differences were found at other time points reported. The narrative synthesis provided mixed effects of CHITs on other clinical, psychosocial, behavioral, and knowledge outcomes.

Conclusions

The use of CHITs appears to be more effective than usual care in improving glycemic control for patients with diabetes. However, their effectiveness did not remain consistent over time and in other patient outcomes. Further efforts are required to examine long-term effects of CHITs and to explore factors that can moderate the effects over time.