Social Support for Diabetes Self-Management via eHealth Interventions

The effectiveness of e-health on reducing stigma, improving social support and quality of life among people living with HIV: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Many people living with HIV reported poor quality of life, which was primarily due to HIV-related stigma and the lack of social support. Compared with face-to-face interventions, e-health interventions are reported to have potential to help people living with HIV improve their adherence to antiretroviral therapy, promote their management of HIV and depressive symptoms. However, in the literature, the effectiveness of e-health interventions in helping people living with HIV reduce stigma, improve social support and quality of life is unclear.

OBJECTIVE

To examine the effectiveness of e-health interventions in reducing stigma and improving social support and quality of life among people living with HIV.

DESIGN

This study is a systematic review and meta-analysis of randomized controlled trials following the Cochrane Handbook guidelines and PRISMA2020.

METHODS

A comprehensive search was conducted from inception to 1st December 2022 in six databases: PubMed, CINAHL Plus with Full Text, PsycINFO (Ovid), Embase, Web of Science, and CENTRAL (Ovid), and an updated search took place on 11st June 2023. Two authors independently screened the studies and extracted the data. Cochrane's bias risk tool for randomized controlled trials was used to examine the methodological quality of the included studies. The intervention effect was estimated by calculating the standardized mean difference (SMD) and 95 % confidence interval (CI) using Review Manager 5.3. A sensitivity analysis was conducted to test the rigor of the pooled results using one-study-out method. The certainty of evidence was assessed using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach.

RESULTS

Nine studies met eligibility criteria and were included in this review. The results of the meta-analysis showed that e-health interventions could statistically significantly reduce stigma (SMD: -0.29, 95 % CI: [-0.48, -0.10], p = 0.002) and improve quality of life (SMD = 0.49, 95 % CI: [0.30, 0.68], P < 0.001), but had no significant effects on social support (SMD = -0.01, 95 % CI: [-0.48, 0.46] P = 0.96).

CONCLUSIONS

E-health interventions could reduce stigma and improve quality of life among people living with HIV. More studies are needed to further explore if e-health interventions can improve the social support for people living with HIV and investigate how to integrate e-health interventions into the existing health models to help people living with HIV treat and manage HIV/AIDS.

REGISTRATION

The protocol of this study has been registered in the database PROSPERO (registration ID: CRD42022373299).

A Descriptive Comparative Pilot Study: Association Between Use of a Self-monitoring Device and Sleep and Stress Outcomes in Pregnancy

Pregnancy is a challenging time for maintaining quality sleep and managing stress. Digital self-monitoring technologies are popular because of assumed increased patient engagement leading to an impact on health outcomes. However, the actual association between wear time of such devices and improved sleep/stress outcomes remains untested. Here, a descriptive comparative pilot study of 20 pregnant women was conducted to examine associations between wear time (behavioral engagement) of self-monitoring devices and sleep/stress pregnancy outcomes. Women used a ring fitted to their finger to monitor sleep/stress data, with access to a self-monitoring program for an average of 9½ weeks. Based on wear time, participants were split into two engagement groups. Using a linear mixed-effects model, the high engagement group showed higher levels of stress and a negative trend in sleep duration and quality. The low engagement group showed positive changes in sleep duration, and quality and experienced below-normal sleep onset latency at the start of the pilot but trended toward normal levels. Engagement according to device wear time was not associated with improved outcomes. Further research should aim to understand how engagement with self-monitoring technologies impacts sleep/stress outcomes in pregnancy.

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.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

TRIAL REGISTRATION

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

Leveraging Resilience-supportive Strategies to Enhance Protective Factors in Young Sexual Minority Men: A Scoping Review of HIV Behavioral Interventions Implemented in High-income Countries

Behavioral HIV interventions focused on strengthening young sexual minority men's (SMM) internal (assets) and external (resources) protective factors are promising, yet their evaluation as resilience-supportive strategies to minimize or negate HIV-related risks remain understudied. The objective of this scoping review was to describe resilience-supportive intervention strategies that have been used to achieve desired HIV behavioral outcomes and to identify how these strategies have been evaluated using a resilience analytic framework. Our scoping review uncovered 271 peer-reviewed articles, of which 38 were eligible for inclusion based on our review criteria. The majority of interventions relied on social support strategies as their primary resilience-supportive strategy. A third of interventions reviewed analyzed their findings from a deficits-focused model, another third used compensatory resilience models, and the remaining interventions employed a hybrid (i.e., deficit and compensatory model) strategy. None of the interventions evaluated their intervention effects using a risk-protective model. From our synthesis regarding the current state of research around resilience-informed interventions, we propose strategies to inform the design of resilience-supportive approaches and make recommendations to move the field forward on how to develop, implement, and measure young SMM's resiliency processes.

Improving glycemic control in patients with type 2 diabetes mellitus through a peer support instant messaging service intervention (DiabPeerS): study protocol for a randomized controlled trial

BACKGROUND

Diabetes mellitus is one of the four priority non-communicable diseases worldwide. It can lead to serious long-term complications and produces significant costs. Due to the chronicle character of the disease, it requires continuous medical treatment and good therapy adherence of those suffering. Therefore, diabetes self-management education (DSME) (and support DSMES) plays a significant role to increase patient's self-management capacity and improve diabetes therapy. Research indicates that these outcomes might be difficult to maintain. Consequently, effective strategies to preserve the positive effects of DSMES are needed. Preliminary results show that peer support, which means support from a person who has experiential knowledge of a specific behavior or stressor and similar characteristics as the target population, is associated with better outcomes in terms of HbA1c, cardiovascular disease risk factors or self-efficacy at a lower cost compared to standard therapy. Peer-supported instant messaging services (IMS) approaches have significant potential for diabetes management because support can be provided easily and prompt, is inexpensive, and needs less effort to attend compared to standard therapy. The major objective of the study is to analyze the impact of a peer-supported IMS intervention in addition to a standard diabetes therapy on the glycemic control of type 2 diabetic patients.

METHODS

A total of 205 participants with type 2 diabetes mellitus will be included and randomly assigned to an intervention or control group. Both groups will receive standard therapy, but the intervention group will participate in the peer-supported IMS intervention, additionally. The duration of the intervention will last for 7 months, followed by a follow-up of 7 months. Biochemical, behavioral, and psychosocial parameters will be measured before, in the middle, and after the intervention as well as after the follow-up.

DISCUSSION

Type 2 diabetes mellitus and other non-communicable diseases put healthcare systems worldwide to the test. Peer-supported IMS interventions in addition to standard therapy might be part of new and cost-effective approaches to support patients independent from time and place.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04797429 . Registered on 15 March 2021.

Barriers to and Facilitators of Using a One Button Tracker and Web-Based Data Analytics Tool for Personal Science: Exploratory Study

Background

Individuals’ self-tracking of subjectively experienced phenomena related to health can be challenging, as current options for instrumentation often involve too much effort in the moment or rely on retrospective self-reporting, which is likely to impair accuracy and compliance.

Objective

This study aims to assess the usability and perceived usefulness of low-effort, in-the-moment self-tracking using simple instrumentation and to establish the amount of support needed when using this approach.

Methods

In this exploratory study, the One Button Tracker—a press-button device that records time stamps and durations of button presses—was used for self-tracking. A total of 13 employees of an academic medical center chose a personal research question and used the One Button Tracker to actively track specific subjectively experienced phenomena for 2 to 4 weeks. To assess usability and usefulness, we combined qualitative data from semistructured interviews with quantitative results from the System Usability Scale.

Results

In total, 29 barriers and 15 facilitators for using the One Button Tracker were found. Ease of use was the most frequently mentioned facilitator. The One Button Tracker’s usability received a median System Usability Scale score of 75.0 (IQR 42.50), which is considered as good usability. Participants experienced effects such as an increased awareness of the tracked phenomenon, a confirmation of personal knowledge, a gain of insight, and behavior change. Support and guidance during all stages of the self-tracking process were judged as valuable.

Conclusions

The low-effort, in-the-moment self-tracking of subjectively experienced phenomena has been shown to support personal knowledge gain and health behavior change for people with an interest in health promotion. After addressing barriers and formally validating the collected data, self-tracking devices may well be helpful for additional user types or health questions.

Factors Related to Diabetes Self-Management Among Patients with Type 2 Diabetes: A Chinese Cross-Sectional Survey Based on Self-Determination Theory and Social Support Theory

PURPOSE

Self-management behavior (SMB) plays a significant role in glycemic control. This study aimed to explore the factors related to SMB among patients with type 2 diabetes and how these factors interacted with each other.

PATIENTS AND METHODS

Patients diagnosed with type 2 diabetes were recruited from 18 community healthcare stations (CHSs) from six community healthcare centers (CHCs) in Beijing, China from April to May in 2017. Motivation, competence, autonomy support, social support, self-management skills, adherence to self-monitoring of blood glucose (SMBG) and haemoglobin A1c (HbA1c) measurement were tested by questionnaire. Correlation analysis and path analysis were performed so as to identify the factors associated with patients' SMB.

RESULTS

A total of 532 participants completed this study. Participants who have good compliance to SMBG got higher scores in social support (F = 7.68, p = 0.01), competence (F = 10.47, p = 0.01), and skills (F = 12.34, p < 0.01). Higher competence (β = 0.03, P < 0.001), higher social support (β = 0.01, P < 0.001), better skills(β = 0.01, P < 0.001) directly led to better adherence to SMBG. Social support had a positive effect on autonomy support (β = 0.69, P < 0.001), motivation (β = 0.45, P < 0.001), competence (β = 0.28, P < 0.001), skills (β = 0.14, P < 0.001), which was also indirectly linked to better adherence to SMBG. Better self-management skills directly led to better adherence to HbA1c measurement (β = 0.03, P < 0.001). Social support had a positive effect on autonomy support (β = 0.69, P < 0.001), motivation (β = 0.45, P < 0.001), competence (β = 0.28, P < 0.001), skills (β = 0.14, P < 0.001), which was also indirectly linked to better adherence to HbA1c measurement.

CONCLUSION

Self-determination theory and social support theory were practical in explaining SMB in Chinese population. Competence, motivation and social support played an important role in diabetic self-management. Paying attention to the promotion of individual's intrinsic motivation and self-efficacy may be able to help patients maintain self-management behavior in the long-term routine.

Experiences of using a digital type 2 diabetes prevention application designed to support women with previous gestational diabetes

Background

Gestational diabetes mellitus (GDM) is diagnosed during pregnancy, and women with a history of GDM are at a higher risk of developing type 2 diabetes mellitus (T2DM). Prevention strategies focused on lifestyle modification help to reduce long-term complications. Self-management technology-based interventions can support behaviour change and diabetes control. The Baby Steps programme, a randomised controlled trial intervention offering group education and access to a mobile web application, was evaluated to explore user experience of the app and barriers and facilitators to app usability.

Methods

Ten semi-structured interviews and four focus group discussions were conducted with 23 trial participants between 2018 and 2019. Interviews and focus group discussions were audiotaped, transcribed and independently analysed. The analysis was informed by thematic analysis, with the use of the Nvivo 12 software.

Results

Themes identified were: (1) GDM and post-pregnancy support from healthcare services; (2) Impact of Baby Steps app on lifestyle changes; (3) Facilitators and barriers to the usability of the Baby Steps app. The Baby Steps app served as a motivator for increasing self-management activities and a tool for monitoring progress. Peer support and increased awareness of GDM and T2DM enhanced engagement with the app, while poor awareness of all the components of the app and low technical skills contributed to low usability.

Conclusions

This study documents experiences from existing GDM support, user experiences from using the Baby Steps app, and the barriers and facilitators to app usability. The app was both a motivational and a monitoring tool for GDM self-management and T2DM prevention. Peer support was a key trait for enhanced engagement, while barriers were low technical skills and poor awareness of the app components. A digital app, such as the Baby Steps app, could strengthen existing face-to-face support for the prevention of T2DM. The results also have wider implications for digital support technologies for all self-management interventions. Further research on the effect of specific components of apps will be required to better understand the long term impact of apps and digital interventions on self-management behaviours and outcomes.

Trial registration

ISRCTN, ISRCTN17299860. Registered on 5 April 2017.

Tele-health interventions to support self-management in adults with rheumatoid arthritis: a systematic review

Rheumatoid arthritis (RA), a long-term auto-immune condition is a challenging condition for patients to manage. Goals of treatment include reducing pain, decreasing inflammation, and improving an individual's overall function. Increasingly technology is being utilised to support patients to self-manage their condition. The aim of this systematic narrative review was to synthesise and critically appraise published evidence concerning the effectiveness of tele-health interventions to support self-management in RA. Bibliographic databases searched from 2014 to March 2020 included MedLINE, Embase, Cochrane Library. Search strategy combined the following concepts: (1) rheumatoid arthritis, (2) tele-health interventions, and (3) self-management. Only randomised controlled trials (RCTs) involving adults with RA were included. Titles, abstracts, full-text articles were screened, any discrepancies were checked by a second reviewer. Risk of bias was assessed using Cochrane risk of bias tool and data were extracted utilising the Cochrane data collection form for RCT interventions along with the TiDier checklist. Due to high heterogeneity, results were not meta-analysed and instead data were synthesised narratively. The search identified 98 articles, seven were included. The completed RCTs varied in the nature of the interventions, duration/severity of RA, outcomes measured and effectiveness of the interventions. The completed RCTs included a total of 791 participants Disease duration was largely between 4 and 10 years and disease severity on average was moderate. There was extensive variation in intervention components, theories underpinning theories and outcomes measured. Five RCTs reported a positive effect on factors such as disease activity, medication adherence, physical activity and self-efficacy levels. This study suggests that tele-health interventions that are well-designed, tailored and multi-faceted can help to achieve positive self-management outcomes in RA. None of the studies showed evidence of harm.

Attitudes Toward Health, Healthcare, and eHealth of People With a Low Socioeconomic Status: A Community-Based Participatory Approach

Low socioeconomic status (SES) is associated with a higher prevalence of unhealthy lifestyles compared to a high SES. Health interventions that promote a healthy lifestyle, like eHealth solutions, face limited adoption in low SES groups. To improve the adoption of eHealth interventions, their alignment with the target group's attitudes is crucial. This study investigated the attitudes of people with a low SES toward health, healthcare, and eHealth. We adopted a mixed-method community-based participatory research approach with 23 members of a community center in a low SES neighborhood in the city of Rotterdam, the Netherlands. We conducted a first set of interviews and analyzed these using a grounded theory approach resulting in a group of themes. These basic themes' representative value was validated and refined by an online questionnaire involving a different sample of 43 participants from multiple community centers in the same neighborhood. We executed three focus groups to validate and contextualize the results. We identified two general attitudes based on nine profiles toward health, healthcare, and eHealth. The first general attitude, optimistically engaged, embodied approximately half our sample and involved light-heartedness toward health, loyalty toward healthcare, and eagerness to adopt eHealth. The second general attitude, doubtfully disadvantaged, represented roughly a quarter of our sample and was related to feeling encumbered toward health, feeling disadvantaged within healthcare, and hesitance toward eHealth adoption. The resulting attitudes strengthen the knowledge of the motivation and behavior of people with low SES regarding their health. Our results indicate that negative health attitudes are not as evident as often claimed. Nevertheless, intervention developers should still be mindful of differentiating life situations, motivations, healthcare needs, and eHealth expectations. Based on our findings, we recommend eHealth should fit into the person's daily life, ensure personal communication, be perceived usable and useful, adapt its communication to literacy level and life situation, allow for meaningful self-monitoring and embody self-efficacy enhancing strategies.

Differences in functional and structural social support among female and male veterans and civilians

PURPOSE

Social support is an important correlate of health behaviors and outcomes. Studies suggest that veterans have lower social support than civilians, but interpretation is hindered by methodological limitations. Furthermore, little is known about how sex influences veteran-civilian differences. Therefore, we examined veteran-civilian differences in several dimensions of social support and whether differences varied by sex.

METHODS

We performed a cross-sectional analysis of the 2012-2013 National Epidemiologic Survey of Alcohol and Related Conditions-III, a nationally representative sample of 34,331 respondents (male veterans = 2569; female veterans = 356). We examined veteran-civilian differences in functional and structural social support using linear regression and variation by sex with interactions. We adjusted for socio-demographics, childhood experiences, and physical and mental health.

RESULTS

Compared to civilians, veterans had lower social network diversity scores (difference [diff] = - 0.13, 95% confidence interval [CI] - 0.23, - 0.03). Among women but not men, veterans had smaller social network size (diff = - 2.27, 95% CI - 3.81, - 0.73) than civilians, attributable to differences in religious groups, volunteers, and coworkers. Among men, veterans had lower social network diversity scores than civilians (diff = - 0.13, 95% CI - 0.23, - 0.03); while among women, the difference was similar but did not reach statistical significance (diff = - 0.13, 95% CI - 0.23, 0.09). There was limited evidence of functional social support differences.

CONCLUSION

After accounting for factors that influence military entry and social support, veterans reported significantly lower structural social support, which may be attributable to reintegration challenges and geographic mobility. Findings suggest that veterans could benefit from programs to enhance structural social support and improve health outcomes, with female veterans potentially in greatest need.

Integrating family and friend support, information technology, and diabetes education in community-centric diabetes self-management

OBJECTIVE

Diabetes self-management (DSM) education, social support, and information technology interventions can improve patient engagement and health. A major challenge is animating, integrating, and accessing resources in under-resourced, rural communities. Set in an island community in Hawai'i, this study piloted a program that integrated friend-and-family support, community health services, telehealth-enabled DSM education, and mobile technologies by activating the community's social capital to support the program.

MATERIALS AND METHODS

An action research approach informed the design and implementation of a community-based DSM program that included: friends and family support, telehealth classes, personalized consultations, Bluetooth-enabled blood glucose monitors, and text messaging support. Outcomes were evaluated using biometric data, surveys, interviews, and participant observations.

RESULTS

The study spanned 9 months with 7 dyads, each with 1 individual with type 2 diabetes and a friend or family member. Six of the 7 participants with diabetes experienced reduced hemoglobin A1c percentages, with 3 reducing by more than 1%. The seventh participant maintained a hemoglobin A1c level within American Diabetes Association recommended ranges. DSM knowledge and self-care behaviors improved overall. Interviews and participant observations highlighted program strengths and social challenges associated with the interpersonal relationships between the members of the dyads.

CONCLUSIONS

A community-centric diabetes program can enhance understanding of diabetes etiology, DSM activities, and communication skills for effective disease management support in under-resourced rural communities. Social capital among community members, leveraged with health information technology, can catalyze and integrate limited health system resources for DSM and social support as a cost-effective strategy to develop community-centric chronic healthcare management initiatives.

Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice

(1) Background: eHealth interventions play a growing role in shaping the future healthcare system. The integration of eHealth interventions can enhance the efficiency and quality of patient management and optimize the course of treatment for chronically ill patients. In this integrative review, we discuss different types of interventions, standards and advantages of quality eHealth approaches especially for people with multiple sclerosis (pwMS). (2) Methods: The electronic databases PubMed, Cochrane and Web of Science were searched to identify potential articles for eHealth interventions in pwMS; based on 62 articles, we consider different ways of implementing health information technology with various designs. (3) Results: There already exist some eHealth interventions for single users with a single-use case, interventions with a social setting, as well as eHealth interventions that integrate various single and social interventions and even those that may be used additionally for complex use cases. A key determinant of consumer acceptance is a high-quality user-centric design for healthcare practitioners and pwMS. In pwMS, the different neurological disabilities should be considered, and particular attention must be paid to the course of the treatment and the safety processes of each treatment option. (4) Conclusion: Depending on the field of application and the respective users, interventions are designed for single, social, integrated or complex use. In order to be accepted by their target group, interventions must be beneficial and easy to use.

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.

Care Me Too, a Mobile App for Engaging Chinese Immigrant Caregivers in Self-Care: Qualitative Usability Study

Background

Caregiving and self-care are challenging for Chinese immigrants in the United States due to limited accessible support and resources. Few interventions exist to assist Chinese immigrant caregivers in better performing self-care. To address this gap in the literature, our team developed the Care Me Too app to engage Chinese immigrant caregivers in self-care and conducted a user experience test to assess its usability and acceptability.

Objective

This paper aims to report the results of the app’s usability and acceptability testing with Chinese immigrant caregivers and to solicit participants’ feedback of the app design and functions.

Methods

A total of 22 Mandarin-speaking Chinese caregivers participated in the study, which consisted of 2 parts: the in-lab testing and the 1-week at-home testing. In-depth face-to-face interviews and follow-up phone interviews were used to assess user experience of the app’s usability and acceptability and to solicit feedback for app design and functions. Directed content analysis was used to analyze the qualitative data.

Results

Among the 22 participants, the average age was 60.5 (SD 8.1) years, ranging from 46 to 80 years; 17 (77%) participants were women and 14 (64%) had an associate degree or higher. Participants reported uniformly positive ratings of the usability and acceptability of the app and provided detailed suggestions for app improvement. We generated guidelines for mobile health (mHealth) app designs targeting immigrant caregivers, including weighing flexibility versus majority preferences, increasing text sizes, using colors effectively, providing engaging and playful visual designs and functions, simplifying navigation, simplifying the log-in process, improving access to and the content on the help document, designing functions to cater to the population’s context, and ensuring offline access.

Conclusions

The main contribution of this study is the improved understanding of Chinese caregivers’ user experiences with a language-appropriate mHealth app for a population that lacks accessible caregiving and self-care resources and support. It is recommended that future researchers and app designers consider the proposed guidelines when developing mHealth apps for their population to enhance user experience and harness mHealth’s value.

When Public Health Research Meets Social Media: Knowledge Mapping From 2000 to 2018

BACKGROUND

Social media has substantially changed how people confront health issues. However, a comprehensive understanding of how social media has altered the foci and methods in public health research remains lacking.

OBJECTIVE

This study aims to examine research themes, the role of social media, and research methods in social media-based public health research published from 2000 to 2018.

METHODS

A dataset of 3419 valid studies was developed by searching a list of relevant keywords in the Web of Science and PubMed databases. In addition, this study employs an unsupervised text-mining technique and topic modeling to extract research themes of the published studies. Moreover, the role of social media and research methods adopted in those studies were analyzed.

RESULTS

This study identifies 25 research themes, covering different diseases, various population groups, physical and mental health, and other significant issues. Social media assumes two major roles in public health research: produce substantial research interest for public health research and furnish a research context for public health research. Social media provides substantial research interest for public health research when used for health intervention, human-computer interaction, as a platform of social influence, and for disease surveillance, risk assessment, or prevention. Social media acts as a research context for public health research when it is mere reference, used as a platform to recruit participants, and as a platform for data collection. While both qualitative and quantitative methods are frequently used in this emerging area, cutting edge computational methods play a marginal role.

CONCLUSIONS

Social media enables scholars to study new phenomena and propose new research questions in public health research. Meanwhile, the methodological potential of social media in public health research needs to be further explored.

A Framework for Applying Natural Language Processing in Digital Health Interventions

BACKGROUND

Digital health interventions (DHIs) are poised to reduce target symptoms in a scalable, affordable, and empirically supported way. DHIs that involve coaching or clinical support often collect text data from 2 sources: (1) open correspondence between users and the trained practitioners supporting them through a messaging system and (2) text data recorded during the intervention by users, such as diary entries. Natural language processing (NLP) offers methods for analyzing text, augmenting the understanding of intervention effects, and informing therapeutic decision making.

OBJECTIVE

This study aimed to present a technical framework that supports the automated analysis of both types of text data often present in DHIs. This framework generates text features and helps to build statistical models to predict target variables, including user engagement, symptom change, and therapeutic outcomes.

METHODS

We first discussed various NLP techniques and demonstrated how they are implemented in the presented framework. We then applied the framework in a case study of the Healthy Body Image Program, a Web-based intervention trial for eating disorders (EDs). A total of 372 participants who screened positive for an ED received a DHI aimed at reducing ED psychopathology (including binge eating and purging behaviors) and improving body image. These users generated 37,228 intervention text snippets and exchanged 4285 user-coach messages, which were analyzed using the proposed model.

RESULTS

We applied the framework to predict binge eating behavior, resulting in an area under the curve between 0.57 (when applied to new users) and 0.72 (when applied to new symptom reports of known users). In addition, initial evidence indicated that specific text features predicted the therapeutic outcome of reducing ED symptoms.

CONCLUSIONS

The case study demonstrates the usefulness of a structured approach to text data analytics. NLP techniques improve the prediction of symptom changes in DHIs. We present a technical framework that can be easily applied in other clinical trials and clinical presentations and encourage other groups to apply the framework in similar contexts.

Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design Challenges

Background

Self-management is a substantial part of treatment for patients with type 2 diabetes (T2D). Modern digital technology, being small, available, and ubiquitous, might work well in supporting self-management. This study follows the process of developing a pilot implementation of an electronic health (eHealth) service for T2D self-management support in primary health care. The use of digital health, or eHealth, solutions for supporting self-management for patients with T2D is increasing. There are good examples of successful implementations that can serve as guides in the development of new solutions. However, when adding person-centered principles as a requirement, the examples are scarce.

Objective

The objective of this study was to explore challenges that could impact the design of a person-centered eHealth service for T2D self-management support. The study included data collection from multiple sources, that is, interviews, observations, focus groups, and a Mentimeter (interactive presentation with polling) survey among stakeholders, representing various perspectives of T2D.

Methods

A user-centered design approach was used to exploratively collect data from different sources. Data were collected from a workshop, interviews, and observations. The different data sources enabled a triangulation of data.

Results

Results show that user needs related to an eHealth service for person-centered T2D self-management support are multifaceted and situated in a complex context. The two main user groups, patients and diabetes specialist nurses, express needs that both diverge and converge, which indicates that critical design decisions have to be made. There is also a discrepancy between the needs expressed by the potential users and the current work practice, suggesting more attention toward changing the organization of work to fully support a new eHealth service.

Conclusions

A total of three overarching challenges—flexible access, reducing administrative tasks, and patient empowerment—each having a significant impact on design, are discussed. These challenges need to be considered and resolved through careful design decisions. Special attention has to be given to the patient user group that could greatly impact current work practice and power structures at the primary care unit. A need for further studies investigating patient needs in everyday life is identified to better support the implementation of technology that does not give specific attention to organizational perspectives but instead approach design with the patient perspective in focus.

The influence of an eHealth intervention for adults with type 2 diabetes on the patient-nurse relationship: a qualitative study

BACKGROUND

A constructive patient-nurse relationship is beneficial in self-management support approaches. Research indicates eHealth interventions hold a potential for self-management support for adults with type 2 diabetes. However, eHealth may change the patient-nurse relationship. No studies to date have addressed how eHealth self-management support interventions with written asynchronous communication can influence the relationship between patients and nurses.

AIM

The aim of this study was to explore how an eHealth intervention based on the Guided Self-Determination program (eGSD) influences the patient-nurse relationship from the perspective of patients participating and the nurses conducting the intervention.

METHODS

A qualitative approach with individual semi-structured interviews was used. Ten patients with type 2 diabetes who completed the eGSD and four nurses who delivered the intervention participated. The data were transcribed verbatim, and qualitative content analysis was used to analyse the text.

RESULTS

The findings revealed two themes: 'eGSD facilitates a reciprocal understanding and a flexibility in the relationship' and 'eGSD creates a more fragile relationship', reflecting ambiguous experiences with the eGSD.

CONCLUSION AND RELEVANCE TO CLINICAL PRACTICE

The findings indicate that eGSD influences the patient-nurse relationship by facilitating reciprocal understanding and flexibility. Both patients and RNs acknowledged these outcomes as beneficial. Nevertheless, familiar in-person consultations were expressed as integral for the patient-nurse relationship. As written communication in eHealth is a novelty, it demands new knowledge and expertise that RNs must master. Findings from this study may therefore be acknowledged when developing and implementing eHealth interventions. Education programs in written eHealth communication, as well as guidelines and frameworks on how to professionally and effectively conduct eHealth services while maintaining supportive patient-nurse relationships, should be a priority for institutions that educate healthcare personnel, health institutions and other stakeholders.

Social Integration and Quality of Social Relationships as Protective Factors for Inflammation in a Nationally Representative Sample of Black Women

Social integration and supportive relationships protect against cardiovascular disease (CVD). However, prior studies have examined heterogeneous samples which may obscure unique relationships within groups. We investigate the association between social relationships and inflammation-a known CVD risk factor-in Black women, a population with higher rates of CVD and CVD mortality. Secondary data from wave 4 of the National Longitudinal Study of Adolescent to Adult Health (Add Health) were analyzed. The sample was comprised of 1829 Black women aged 24-34 years. Social integration was a z-score standardized measure of four items (marital/cohabitation status, church attendance, volunteerism, close friendships). Data on the quality of three relationship types was available: perceived happiness with a romantic relationship and perceived closeness to mother and father figure. Inflammation was measured via high-sensitivity C-reactive protein (hs-CRP) in which levels were categorized based on clinical cut-points for risk of CVD (< 1 mg/L = low risk-reference, 1-3 mg/L = moderate risk, > 3-10 mg/L = high risk, > 10 mg/L = very high risk). Multivariable logistic regression was conducted accounting for the complex survey design and wave 4 control measures (e.g., body mass index, smoking, medications, acute illness, overall health, sociodemographic factors). No significant associations were found between level of social integration and hs-CRP levels. With respect to relationship quality, women who reported they were very happy with their romantic relationship were less likely than those who were only fairly happy or unhappy to have hs-CRP levels in the moderate- (AOR = 0.36, 95% CI = 0.17, 0.75), high (AOR = 0.20, 95% CI = 0.08, 0.49), or very high CVD-risk category (AOR = 0.36, 95% CI = 0.16, 0.80). Women who reported they were somewhat/quite/very close to their mother figure (AOR = 0.48, 95% CI = 0.25, 0.92) and those who reported having no mother figure (AOR = 0.25, 95% CI = 0.08, 0.77) were less likely than women reporting being not very close/not close at all with their mother figure to have hs-CRP levels in the moderate- vs. low-risk category. No statistically significant associations were found between father-figure relationship and hs-CRP CVD risk category. In summary, social integration and the quality of specific social relationships were significantly associated with inflammation in young adult Black women. Thus, interventions designed to enhance social connectedness and positive social relationships among Black women may have the potential to be protective for CVD risk. Further researches with the longitudinal social relationship and inflammatory measures are needed to better understand how changes in social relationships may influence CVD risk over the life course.

eHealth for improving quality of life in breast cancer patients: A systematic review

Breast cancer patients (and survivors) use to deal with important challenges daily, such as coping with stress and depression, and adopting healthy lifestyles in order to improve treatment effectiveness; moreover, some experiential issues are quite specific of this disease, such as sexuality and fertility disfunctions after hormonal therapy, and distortions in body image after breast surgery. Recent literature highlighted the utility of eHealth or the use of new technologies to promote health management and quality of life in chronic diseases generally. The present contribution aims at (1) exploring usage and effectiveness of eHealth resources to improve breast cancer patients/survivors' quality of life, and (2) describing whether existing eHealth interventions addressed specific characteristics of breast cancer, or employed a generic approach only. A systematic literature search according to PRISMA guidelines was performed. Twenty-four studies met inclusion criteria and were included. Discussion highlights a majority of encouraging results about eHealth in breast cancer patients' health management, especially in those interventions featuring eHealth tools for improving patients' abilities (e.g., coping) and complex eHealth systems with multiple resources. However, generic use of eHealth is still predominant over disease-focused solutions. Guidelines for future eHealth research and development are listed in order to promote technology design centered on the lived experience of specific illness.

Creating Gameful Design in mHealth: A Participatory Co-Design Approach

BACKGROUND

Gameful designs (gamification), using design pieces and concepts typically found in the world of games, is a promising approach to increase users' engagement with, and adherence to, electronic health and mobile health (mHealth) tools. Even though both identifying and addressing users' requirements and needs are important steps of designing information technology tools, little is known about the users' requirements and preferences for gameful designs in the context of self-management of chronic conditions.

OBJECTIVE

This study aimed to present findings as well as the applied methods and design activities from a series of participatory design workshops with patients with chronic conditions, organized to generate and explore user needs, preferences, and ideas to the implementation of gameful designs in an mHealth self-management app.

METHODS

We conducted three sets of two consecutive co-design workshops with a total of 22 participants with chronic conditions. In the workshops, we applied participatory design methods to engage users in different activities such as design games, scenario making, prototyping, and sticky notes exercises. The workshops were filmed, and the participants' interactions, written products, ideas, and suggestions were analyzed thematically.

RESULTS

During the workshops, the participants identified a wide range of requirements, concerns, and ideas for using the gameful elements in the design of an mHealth self-management app. Overall inputs on the design of the app concerned aspects such as providing a positive user experience by promoting collaboration and not visibly losing to someone or by designing all feedback in the app to be uplifting and positive. The participants provided both general inputs (regarding the degree of competitiveness, use of rewards, or possibilities for customization) and specific inputs (such as being able to customize the look of their avatars or by having rewards that can be exchanged for real-world goods in a gift shop). However, inputs also highlighted the importance of making tools that provide features that are meaningful and motivating on their own and do not only have to rely on gameful design features to make people use them.

CONCLUSIONS

The main contribution in this study was users' contextualized and richly described needs and requirements for gamefully designed mHealth tools for supporting chronic patients in self-management as well as the methods and techniques used to facilitate and support both the participant's creativity and communication of ideas and inputs. The range, variety, and depth of the inputs from our participants also showed the appropriateness of our design approach and activities. These findings may be combined with literature and relevant theories to further inform in the selection and application of gameful designs in mHealth apps, or they can be used as a starting point for conducting more participatory workshops focused on co-designing gameful health apps.

Structural social support and cardiovascular disease risk factors in Hispanic/Latino adults with diabetes: results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

OBJECTIVE(S)

Cross-sectional and longitudinal studies have yielded inconsistent findings on the associations of social support networks with cardiovascular health in Hispanic/Latino adults with diabetes. We examined the cross-sectional associations of structural social support and traditional cardiovascular disease (CVD) risk factors in a diverse sample of Hispanic/Latino adults with diabetes.

RESEARCH DESIGN AND METHODS

This analysis included 2994 adult participants ages 18-74 with diabetes from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL - 2008-2011). Select items from the Social Network Inventory (SNI) were used to assess indices of structural social support, i.e. network size (number of children, parents, and in-laws) and frequency of familial contact. Standardized methods were used to measure abdominal obesity, BMI, hypertension, hypercholesterolemia, and smoking status. Multivariate regression was used to examine associations of structural support with individual CVD risk factors with demographics, acculturation, physical health, and psychological ill-being (depressive symptoms and anxiety) included as covariates.

RESULTS

There were no significant cross-sectional associations of structural support indices with abdominal obesity, hypertension, hypercholesterolemia, or smoking status. There was a marginally significant (OR: 1.05; 95%CI 0.99-1.11) trend toward higher odds of obesity in participants reporting a larger family unit (including children, parents, and in-laws) and those with closer ties with extended family relatives (OR: 1.04; 95%CI 0.99-1.09).

CONCLUSIONS

Structural social support was marginally associated with higher odds of obesity in Hispanic/Latino adults with diabetes. Alternate forms of social support (e.g. healthcare professionals, friends, peers) should be further explored as potential markers of cardiac risk in Hispanics/Latinos with diabetes.

Medicare utilization, screening, and costs among participants in the Southeastern Diabetes Initiative: A population-based evaluation

AIMS

Type 2 diabetes mellitus imposes significant burdens on patients and health care systems. Population-level interventions are being implemented to reach large numbers of patients at risk of or diagnosed with diabetes. We describe a population-based evaluation of the Southeastern Diabetes Initiative (SEDI) from the perspective of a payer, the Centers for Medicare & Medicaid Services (CMS). The purpose of this paper is to describe the population-based evaluation approach of the SEDI intervention from a Medicare utilization and cost perspective.

METHODS

We measured associations between the SEDI intervention and receipt of diabetes screening (i.e., HbA1c test, eye exam, lipid profile), health care resource use, and costs among intervention enrollees, compared with a control cohort of Medicare beneficiaries in geographically adjacent counties.

RESULTS

The intervention cohort had slightly lower 1-year screening in 2 of 3 domains (4% for HbA1c; 9% for lipid profiles) in the post-intervention period, compared with the control cohort. The SEDI intervention cohort did not have different Medicare utilization or total Medicare costs in the post-intervention period from surrounding control counties.

CONCLUSIONS

Our analytic approach may be useful to others evaluating CMS demonstration projects in which population-level health is targeted for improvement in a well-defined clinical population.

Person-centred, web-based support in pregnancy and early motherhood for women with Type 1 diabetes mellitus: a randomized controlled trial

AIMS

To report results from and explore use of a multicentre, parallel-group, unblinded, randomized controlled trial testing the effectiveness in terms of well-being and diabetes management of a person-centred, web-based support programme for women with Type 1 diabetes, in pregnancy and postpartum.

METHODS

Between 2011 and 2014, 174 pregnant women with Type 1 diabetes were randomly allocated (1:1) to web-based support and standard care (intervention group, n=83), or standard care (control group, n=91). The web-based support consisted of evidence-based information; a self-care diary for monitoring of daily activities; and peer support in a discussion forum. The primary outcomes (mean difference, measured at 6 months after childbirth) were well-being and diabetes management.

RESULTS

No differences were found with regard to the primary outcome measure scores for general well-being [1.04 (95% CI -1.28 to 3.37); P=0.68] and self-efficacy of diabetes management [0.08 (95% CI -0.12 to 0.28); P= 0.75], after adjustment for baseline differences in the insulin administration method, nor with regard to the secondary outcome measures.

CONCLUSIONS

At 6 months after childbirth, the web-based support plus standard care was not superior to standard care in terms of general well-being or self-efficacy of diabetes management. This might be explained by the low number of participants who had a high activity level. Few simultaneously active participants in the web-based programme and stressors in motherhood and diabetes postpartum were the main barriers to its use. Further intervention studies that offer web-based support are needed, with lessons learned from the present study. (Clinicaltrials.gov identification number: NCT015665824).

Patients' perspectives on social and goal-based comparisons regarding their diabetes health status

OBJECTIVE

Social comparisons (ie, self-evaluation in comparison with others) influence patients' perspectives of their disease and may impact motivation and health behavior; however, little is known about patients' perspectives toward receiving such information in a clinical context (eg, from their doctor's office or health system). This study aims to understand patients' perspectives and anticipated responses to receiving social comparison information regarding measures of their diabetes-related health status (eg, A1C) and how receiving such information would compare with goal-based comparisons (ie, self-evaluation in comparison with goal).

RESEARCH DESIGN AND METHODS

We conducted semistructured interviews with 25 patients with type 2 diabetes mellitus (T2DM) regarding social and goal-based comparisons involving their diabetes health status and qualitatively analyzed interviews for themes.

RESULTS

We identified seven major themes: self-relevance, motivation, self-concept, emotions, information seeking, medical care, and self-care. Participants commonly anticipated increased motivation and improved health behaviors in response to both social and goal-based comparisons. Subthemes unique to social comparisons included belief that this information would be motivating by engaging some patients' competitiveness, perception that this information was more 'personalized' than comparisons with a standard goal (eg, A1C<7), and desire to learn from individuals similar to oneself who were doing better.

CONCLUSIONS

Our findings provide significant insights into the anticipated response of patients with T2DM to receiving social and goal-based comparison information regarding their diabetes health status. Providing patients with diabetes with social and goal-based comparison information may affect motivation, mood, and self-concept in ways that may improve or sustain diabetes self-care behaviors for some patients.

Written reflection in an eHealth intervention for adults with type 2 diabetes mellitus: a qualitative study

BACKGROUND

Individuals with type 2 diabetes mellitus (T2DM) are responsible for the daily decisions and actions necessary to manage their disease, which makes self-management the cornerstone of diabetes care. Many patients do not reach recommended treatment goals, and thus it is important to develop and evaluate innovative interventions that facilitate optimal motivation for adequate self-management of T2DM.

OBJECTIVE

The aim of the current study was to explore how adults with T2DM experience using reflection sheets to stimulate written reflection in the context of the Guided Self-Determination (GSD) eHealth intervention and how written reflection might affect their motivation for self-management of T2DM.

METHODS

We used a qualitative design in which data were collected through individual interviews. The sample consisted of 10 patients who completed the GSD eHealth intervention, and data were analyzed using qualitative content analysis.

RESULTS

The qualitative content analysis yielded 2 main themes. We labeled the first theme as "Written reflection affects awareness and commitment in diabetes self-management", which reflects 2 subthemes, namely, "Writing creates space and time for autonomous reflection" and "Writing influences individuals' focus in diabetes self-management". We labeled the second theme as "Written reflection is perceived as inapplicable in diabetes self-management", which reflects 2 subthemes, namely, "Responding in writing is difficult" and "The timing of the writing is inappropriate".

CONCLUSION

Our findings indicate that written reflection in the context of the GSD eHealth intervention may be conducive to motivation for diabetes self-management for some patients. However, it seems that in-person consultation with the diabetes nurse may be necessary to achieve the full potential benefit of the GSD as an eHealth intervention. We advocate further development and examination of the GSD as a "blended" approach, especially for those who consider written reflection to be difficult or unfamiliar.

Multimedia education program and nutrition therapy improves HbA1c, weight, and lipid profile of patients with type 2 diabetes: a randomized clinical trial

PURPOSE

To evaluate the effect of a multimedia education program and nutrition therapy on metabolic control in patients with type 2 diabetes.

RESEARCH QUESTION

What is the effect of a multimedia education program and nutritional therapy on metabolic control in type 2 diabetes?

PATIENTS AND METHODS

A randomized clinical trial was conducted in 351 patients randomly assigned to either an experimental group receiving a multimedia diabetes education program (MDE) and nutrition therapy (NT) (NT + MDE: n = 173), or to a control group who received nutrition therapy only (NT: n = 178). At baseline, 7, 14, and 21 months, the glycated hemoglobin (HbA1c), glucose, cholesterol, triglycerides, LDL-cholesterol, and HDL-cholesterol were measured. Weight, body mass index (BMI), waist circumference (WC), fat percentage, fat and lean mass, systolic blood pressure (SBP), and diastolic (DBP) were also recorded.

RESULTS

Glycated hemoglobin decreased in both groups, although the group with NT + MDE had a greater reduction, with a difference of -0.76% (95%CI -1.33 to -0.19) at 7 months and -0.73% (95%CI -1.37 to -0.09) at 21 months. Only in the NT + MDE did the glucose decrease at 7 (-41.2 mg/dL; 95%CI -52.0 to -30.5), 14 (-27.8 mg/dL; 95%CI -32.6 to -23.1), and 21 months (-36.6 mg/dL; 95%CI -46.6 to -26.6). Triglycerides and the atherogenic index decreased in both groups at 7 and 14 months; while only in the NT + MDE group did it decrease at 21 months. (p < 0.05). Weight decreased at 21 months in the NT + MDE group (-1.23, -2.29 at -0.16; p < 0.05).

CONCLUSION

Nutrition therapy and a multimedia diabetes education program have a favorable impact on achieving metabolic control goals in type 2 diabetes.

Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review

BACKGROUND

The behavior change technique taxonomy v1 (BCTTv1; Michie and colleagues, 2013) is a comprehensive tool to characterize active ingredients of interventions and includes 93 labels that are hierarchically clustered into 16 hierarchical clusters.

OBJECTIVE

The aim of this study was to identify the active ingredients in electronic health (eHealth) interventions targeting patients with poorly controlled type 2 diabetes mellitus (T2DM) and relevant outcomes.

METHODS

We conducted a scoping review using the BCTTv1. Randomized controlled trials (RCTs), studies with or pre-post-test designs, and quasi-experimental studies examining efficacy and effectiveness of eHealth interventions for disease management or the promotion of relevant health behaviors were identified by searching PubMed, Web of Science, and PsycINFO. Reviewers independently screened titles and abstracts for eligibility using predetermined eligibility criteria. Data were extracted following a data extraction sheet. The BCTTv1 was used to characterize active ingredients of the interventions reported in the included studies.

RESULTS

Of the 1404 unique records screened, 32 studies fulfilled the inclusion criteria and reported results on the efficacy and or or effectiveness of interventions. Of the included 32 studies, 18 (56%) were Web-based interventions delivered via personal digital assistant (PDA), tablet, computer, and/or mobile phones; 7 (22%) were telehealth interventions delivered via landline; 6 (19%) made use of text messaging (short service message, SMS); and 1 employed videoconferencing (3%). Of the 16 hierarchical clusters of the BCTTv1, 11 were identified in interventions included in this review. Of the 93 individual behavior change techniques (BCTs), 31 were identified as active ingredients of the interventions. The most common BCTs identified were instruction on how to perform behavior, adding objects to the environment, information about health consequences, self-monitoring of the outcomes and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided of a certain behavior Author: Please note that the journal discourages the use of parenthesis to denote either and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided "and/or" and prefers to be explicit to avoid ambiguity. Response: Checked and avoided, and feedback on outcomes of behavior.

CONCLUSIONS

Our results suggest that the majority of BCTs employed in interventions targeting persons with T2DM revolve around the promotion of self-regulatory behavior to manage the disease or to assist patients in performing health behaviors necessary to prevent further complications of the disease. Detailed reporting of the BCTs included in interventions targeting this population may facilitate the replication and further investigation of such interventions.

The Language of Data Program: Use of Gaming to Promote Critical Appraisal Skills

This column shares the best evidence-based strategies and innovative ideas on how to facilitate the learning and implementation of EBP principles and processes by clinicians as well as nursing and interprofessional students. Guidelines for submission are available at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1741-6787.

Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review

BACKGROUND

The combination of self-tracking and persuasive eCoaching in automated interventions is a new and promising approach for healthy lifestyle management.

OBJECTIVE

The aim of this study was to identify key components of self-tracking and persuasive eCoaching in automated healthy lifestyle interventions that contribute to their effectiveness on health outcomes, usability, and adherence. A secondary aim was to identify the way in which these key components should be designed to contribute to improved health outcomes, usability, and adherence.

METHODS

The scoping review methodology proposed by Arskey and O'Malley was applied. Scopus, EMBASE, PsycINFO, and PubMed were searched for publications dated from January 1, 2013 to January 31, 2016 that included (1) self-tracking, (2) persuasive eCoaching, and (3) healthy lifestyle intervention.

RESULTS

The search resulted in 32 publications, 17 of which provided results regarding the effect on health outcomes, 27 of which provided results regarding usability, and 13 of which provided results regarding adherence. Among the 32 publications, 27 described an intervention. The most commonly applied persuasive eCoaching components in the described interventions were personalization (n=24), suggestion (n=19), goal-setting (n=17), simulation (n=17), and reminders (n=15). As for self-tracking components, most interventions utilized an accelerometer to measure steps (n=11). Furthermore, the medium through which the user could access the intervention was usually a mobile phone (n=10). The following key components and their specific design seem to influence both health outcomes and usability in a positive way: reduction by setting short-term goals to eventually reach long-term goals, personalization of goals, praise messages, reminders to input self-tracking data into the technology, use of validity-tested devices, integration of self-tracking and persuasive eCoaching, and provision of face-to-face instructions during implementation. In addition, health outcomes or usability were not negatively affected when more effort was requested from participants to input data into the technology. The data extracted from the included publications provided limited ability to identify key components for adherence. However, one key component was identified for both usability and adherence, namely the provision of personalized content.

CONCLUSIONS

This scoping review provides a first overview of the key components in automated healthy lifestyle interventions combining self-tracking and persuasive eCoaching that can be utilized during the development of such interventions. Future studies should focus on the identification of key components for effects on adherence, as adherence is a prerequisite for an intervention to be effective.

Creating a sustainable collaborative consumer health application for chronic disease self-management

As the prevalence of chronic diseases increase, there is a need for consumer-centric health informatics applications that assist individuals with disease self-management skills. However, due to the cost of development of these applications, there is also a need to build a disease agnostic architecture so that they could be reused for any chronic disease. This paper describes the architecture of a collaborative virtual environment (VE) platform, LIVE©, that was developed to teach self-management skills and provide social support to those individuals with type 2 diabetes. However, a backend database allows for the application to be easily reused for any chronic disease. We tested its usability in the context of a larger randomized controlled trial of its efficacy. The usability was scored as 'good' by half of the participants in the evaluation. Common errors in the testing and solutions to address initial usability issues are discussed. Overall, LIVE© represents a usable and generalizable platform that will be adapted to other chronic diseases and health needs in future research and applications.

Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol

Background

Individuals with type 2 diabetes have an increased risk for comorbidities such as heart disease, lower limb amputations, stroke, and renal failure. Multiple factors influence development of complications in a person living with type 2 diabetes; however, an individual’s self-management behaviors may delay the onset of, or lessen the severity of, these complications. Social support provides personal, informal advice and knowledge that helps individuals initiate and sustain self-management and adherence.

Objective

Our aim was to gain an understanding of type 2 diabetes social interaction in a virtual environment, one type of computer-mediated environment (CME), and the social support characteristics that increase and sustain self-management in adults living with chronic illness.

Methods

This study is a secondary analysis of longitudinal data collected in a CME study, Second Life Impacts Diabetes Education & Self-Management (1R21-LM010727-01). This virtual environment replicated a real-life community where 6 months of naturalistic synchronous voice conversations, emails, and text chats were recorded among participants and providers. This analysis uses a mixed-methods approach to explore and compare qualitative and quantitative findings. This analysis is guided by two theories: Strong/Weak Ties Theory and Social Penetration Theory. Qualitative data will be analyzed using content analysis, and we will complete descriptive statistics on the quantified variables (eg, average number of ties). Institutional review board approval was obtained in June 2016.

Results

This study is in progress.

Conclusions

Interventions provided through virtual environments are a promising solution to increasing self-management practices. However, little is known of the depth, breadth, and quality of social support that is exchanged and how interaction supports self-management and relates to health outcomes. This study will provide knowledge that will help guide clinical practice and policy to enhance social support for chronic illness via the Internet.