Effect of Diabetes Online Community Engagement on Health Indicators: Cross-Sectional Study

Can the group effect dominate the influence of the child on the parent's decision to care for type 1 diabetes?

AIM

To understand how the interaction of peer parents in disease-specific social media groups influences their daily treatment decisions.

DESIGN AND METHODS

We examined the content of the largest Hungarian Facebook group for parents of children with type 1 diabetes mellitus, analyzing 28 days of activity using netnography. In addition, we undertook an online quantitative questionnaire to identify group members' (n = 267) attitudes.

RESULTS

In exploring the influence of the community on the decisions of peer-parents, we found that the respondents could be divided into two clusters. The main difference between the clusters was that committed parents sought the online community for advice and asked questions more frequently, and the peer-support community was a more important part of their self-image. Comparing the influence of online communities and children on the parents' decisions, we observed that the community had the most significant impact on attending diabetes-specific events, while children had the greatest influence on meals and leisure time and were often in conflict with parents.

CONCLUSIONS

Social media strongly support the integration of prescribed therapy into daily routine. The influence of the child with diabetes on parental decisions shows that diabetes education needs to become child-centered and that the parent-child relationship should be considered as a crucial element for therapy effectiveness.

PRACTICE IMPLICATIONS

Online parenting groups provide mental support in coping with diabetes and would serve as a primary non-medical information source; the healthcare staff must be supportive or even encouraging when parents join such groups.

Training peers to deliver mental health support to adults with type 1 diabetes using the REACHOUT mobile app

AIMS

While peer support research is growing in the Type 1 diabetes (T1D) community, the peer supporter training (PST) process is rarely documented in detail. This study provides a comprehensive description of PST and evaluation for the REACHOUT mental health support intervention, and examines the feasibility and perceived utility of PST.

METHODS

Fifty-three adults with T1D were recruited to participate in a 6-hour, zoom-based PST program for mental health support. The program was structured in three parts: (1) internal motivation, resilience and empathy; (2) mindfulness, emotions and diabetes distress; and (3) active listening and deferring clinical questions to professionals. Candidates were evaluated based on eight pre-established competency criteria during a 5-day support trial with an assigned standardized T1D participant. Perceived usefulness of training skills was also assessed 3 months into the REACHOUT mental health support intervention.

RESULTS

Fifty-one of the fifty-three candidates who completed training achieved the criteria to graduate. Mean scores for the eight competency domains were: listens actively (4.55); asks open-ended questions (4.12); expresses empathy (4.42); avoids passing judgment (4.67); sits with strong emotions (4.44); refrains from giving advice (4.38); makes reflections (4.5); and defers medical questions (4.58). Of the skills learned during the PST, 95% rated interpreting and discussing diabetes distress profile and expressing empathy as moderately to extremely useful.

CONCLUSIONS

Findings demonstrate that it is feasible to recruit and graduate the number of trainees needed using a rigorous process. Only by making training protocols available can the PST be replicated and translated to other T1D populations (e.g. adolescents, parents of children with T1D).

Testing 3 Digital Health Platforms to Improve Mental Health Outcomes in Adults With Type 1 Diabetes: A Pilot Trial

OBJECTIVE

Our aim in this study was to examine the potential impact of a 3-pronged digital health pilot intervention (TRIFECTA) on diabetes distress and depressive symptoms among adults with type 1 diabetes (T1D) in British Columbia.

METHODS

We recruited 60 adults with T1D (mean age 38.9±15.1 years, 75% female, 77% Caucasian) who participated in the 6-month pilot intervention involving 3 digital health platforms: monthly, provider-led, group-based sessions over Zoom (virtual huddles); a WhatsApp peer texting group; and a web-based "Ask-the-expert" portal. Assessments were conducted at baseline and 6 months and measured diabetes distress (T1D Diabetes Distress Scale), depressive symptoms (9-item Personal Health Questionnaire), and TRIFECTA engagement metrics.

RESULTS

Participation in TRIFECTA was associated with significant reductions in Overall Distress (p=0.011) and 4 distress subscales: Powerlessness (p=0.006), Management Distress (p=0.001), Hypoglycemia Distress (p=0.029), and Eating Distress (p<0.001). A higher number of virtual huddles attended predicted lower Overall Distress (p=0.019) and Family/Friends Distress (p=0.023). A higher number of "Ask-the-expert" posts viewed predicted lower Overall Distress (p=0.046), whereas a higher number of WhatsApp messages posted predicted lower Management Distress (p=0.006). Furthermore, engagement in all 3 metrics was a predictor for lower Negative Social Perceptions Distress (p<0.05). No associations were seen in other distress subscales or for depressive symptoms.

CONCLUSIONS

Participation in TRIFECTA was linked to reduced diabetes distress levels, but not depressive symptoms, in a platform-dependent manner. This study provides promising pilot data for a subsequent large-scale and fully powered randomized controlled trial.

How online peer support affects management efficacy and mitigates difficulties of parents caring for children with type 1 diabetes

The proper management of pediatric type 1 diabetes depends substantially on the parents of affected children. Parental psychological traits specifically related to diabetes caregiving influence the quality of their care and management of the disease in their children. Parents often use Facebook groups as sources of peer support and information about diabetes care. The present study aimed to examine the influence of devices used in diabetes management, ascertain the impact of Facebook peer-support groups on parental perceptions of problems and probe parental self-efficacy. 318 parents of children with type 1 diabetes completed an online questionnaire on demographics, diabetes-related data, and diabetes care-related psychological characteristics. Data analysis revealed three variables that determined competence in diabetes management: the utility of information and suggestions offered in the Facebook groups on diabetes; the form of insulin administration and membership in Facebook groups. Our results underpin that peer-support groups on social media platforms can serve as sources of the necessary information, support, and feedback on diabetes management competence for parents of children living with type 1 diabetes, they may thus facilitate parental diabetes management capabilities.

Use of Social Media as a Platform for Education and Support for People With Diabetes During a Global Pandemic

BACKGROUND

Patient education is a fundamental aspect of self-management of diabetes. The aim of this study was to understand whether a social media platform is a viable method to deliver education to people with diabetes and understand if people would engage and interact with it.

METHODS

Education sessions were provided via 3 platforms in a variety of formats. "Tweetorials" and quizzes were delivered on the diabetes101 Twitter account, a virtual conference via Zoom and video presentations uploaded to YouTube. Audience engagement during and after the sessions were analyzed using social media metrics including impressions and engagement rate using Twitter analytics, Tweepsmap, and YouTube Studio.

RESULTS

A total of 22 "tweetorial" sessions and 5 quizzes with a total of 151 polls (both in tweetorial and quiz sessions) receiving a total of 21,269 votes took place. Overall, the 1-h tweetorial sessions gained 1,821,088 impressions with an engagement rate of 6.3%. The sessions received a total of 2,341 retweets, 2,467 replies and 10,060 likes. The quiz days included 113 polls receiving 16,069 votes. The conference covered 8 topics and was attended live by over 100 people on the day. The video presentations on YouTube have received a total of 2,916 views with a watch time of 281 h and 8,847 impressions.

CONCLUSION

Despite the limitations of social media, it can be harnessed to provide relevant reliable information and education about diabetes allowing people the time and space to learn at their own pace.

Perspectives on Promoting Physical Activity Using eHealth in Primary Care by Health Care Professionals and Individuals With Prediabetes and Type 2 Diabetes: Qualitative Study

BACKGROUND

The trend of an exponential increase in prediabetes and type 2 diabetes (T2D) is projected to continue rising worldwide. Physical activity could help prevent T2D and the progression and complications of the disease. Therefore, we need to create opportunities for individuals to acquire the necessary knowledge and skills to self-manage their chronic condition through physical activity. eHealth is a potential resource that could facilitate self-management and thus improve population health. However, there is limited research on users' perception of eHealth in promoting physical activity in primary care settings.

OBJECTIVE

This study aims to explore the perspectives of health care professionals and individuals with prediabetes and T2D on eHealth to promote physical activity in primary care.

METHODS

A qualitative approach was applied using focus group discussions among individuals with prediabetes or T2D (14 participants in four groups) and health care professionals (10 participants in two groups). The discussions were audio-recorded and transcribed verbatim. Qualitative content analysis was used inductively to code the data.

RESULTS

Three main categories emerged: utility, adoption process, and accountability. The utility of eHealth was described as a motivational, entertaining, and stimulating tool. Registration of daily medical measurements and lifestyle parameters in a cohesive digital platform was recognized as a potential resource for strengthening self-management skills. The adoption process includes eHealth to increase the accessibility of care and personalize the support of physical activity. However, participants stated that digital technology might only suit some and could increase health care providers' administrative burden. Accountability refers to the knowledge and skills to optimize eHealth and ensure data integrity and security.

CONCLUSIONS

People with prediabetes and T2D and health care professionals positively viewed an integration of eHealth technology in primary care to promote physical activity. A cohesive platform using personal metrics, goal-setting, and social support to promote physical activity was suggested. This study identified eHealth illiteracy, inequality, privacy, confidentiality, and an increased workload on health care professionals as factors of concern when integrating eHealth into primary care. Continuous development of eHealth competence was reported as necessary to optimize the implementation of eHealth technology in primary care.

Social Support in a Diabetes Online Community: Mixed Methods Content Analysis

BACKGROUND

Patients with diabetes may experience different needs according to their diabetes stage. These needs may be met via online health communities in which individuals seek health-related information and exchange different types of social support. Understanding the social support categories that may be more important for different diabetes stages may help diabetes online communities (DOCs) provide more tailored support to web-based users.

OBJECTIVE

This study aimed to explore and quantify the categorical patterns of social support observed in a DOC, taking into consideration users' different diabetes stages, including prediabetes, type 2 diabetes (T2D), T2D with insulin treatment, and T2D remission.

METHODS

Data were collected from one of the largest DOCs in Europe: Diabetes.co.uk. Drawing on a mixed methods content analysis, a qualitative content analysis was conducted to explore what social support categories could be identified in users' posts. A total of 1841 posts were coded by 5 human annotators according to a modified version of the Social Support Behavior Code, including 7 different social support categories: achievement, congratulations, network support, seeking emotional support, seeking informational support, providing emotional support, and providing informational support. Subsequently, quantitative content analysis was conducted using chi-square post hoc analysis to compare the most prominent social support categories across different stages of diabetes.

RESULTS

Seeking informational support (605/1841, 32.86%) and providing informational support (597/1841, 32.42%) were the most frequent categories exchanged among users. The overall distribution of social support categories was significantly different across the diabetes stages (χ²₁₈=287.2; P<.001). Users with prediabetes sought more informational support than those in other stages (P<.001), whereas there were no significant differences in categories posted by users with T2D (P>.001). Users with T2D under insulin treatment provided more informational and emotional support (P<.001), and users with T2D in remission exchanged more achievement (P<.001) and network support (P<.001) than those in other stages.

CONCLUSIONS

This is the first study to highlight what, how, and when different types of social support may be beneficial at different stages of diabetes. Multiple stakeholders may benefit from these findings that may provide novel insights into how these categories can be strategically used and leveraged to support diabetes management.

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.

Knowledge, community and care: Digital biocitizenship in gestational diabetes

Online patient communities have proliferated rapidly, as has literature exploring the role such communities play in allowing patients to share knowledge, offer support to one another, and advocate for better medical care. Yet there has been limited scholarly engagement with patient community in gestational diabetes (GDM). Drawing on a grounded theory analysis of 18 semi-structured interviews with women with GDM, I explore how participating in an online GDM support community shaped these women's experiences of pregnancy and illness. Women's interactions with one another prompted them to appraise, contest, and co-create knowledge claims about GDM. Those in the community supported each other through the difficulties of GDM, but also held each other accountable to their regimes of self-management, often to a greater extent than their health professionals. The networks of peer support within the community engendered new ethics of care and responsibility, reframing GDM as a condition worthy of more personalised treatment and increased medical attention. These findings attest to the emergence of patient-led biocitizenship in GDM, although a caveat is given that these participants all had access to resources that facilitated their engagement with self-care practices. Further research should explore GDM patient community in marginalised populations.

"You Are By No Means Alone": A Netnographic Study of Self-Care Support in an Online Community for Older Adults

Online peer-to-peer communities provide environments in which people with similar health concerns can interact and exchange information that can support self-care of long-term conditions. However, current theories have not adequately accounted for how self-care support is enacted in online communities. We conducted an observational netnography to identify and analyze posts in a publicly accessible online community (discussion forum boards) designed for older people. A Straussian grounded theory approach was used to examine 659 posts in health-related message boards. Self-care support involved the construction of three interrelated identities: (1) the support seeking self, in which members described problems and requested information; (2) the empathizing self, in which they described similar experiences and offered support; and (3) the influencing self, in which they provided information or advice. Online communities appear to be an important source of peer support and information and may be a cost-effective approach to supplement standard care.

Perspectives on adapting a mobile application for pain self-management in neurofibromatosis type 1: results of online focus group discussions with individuals living with neurofibromatosis type 1 and pain management experts

OBJECTIVE

Neurofibromatosis type 1 (NF1) is a genetic disorder in which chronic pain commonly occurs. The study sought to understand the needs of individuals with NF1 and pain management experts when adapting a pain self-management mobile health application (app) for individuals with NF1.

DESIGN

We conducted a series of online, audio-recorded focus groups that were then thematically analysed.

SETTING

Online focus groups with adults currently residing in the USA.

PARTICIPANTS

Two types of participants were included: individuals with NF1 (n=32 across six focus groups) and pain management experts (n=10 across three focus groups).

RESULTS

Six themes across two levels were identified. The individual level included lifestyle, reasons for using the mobile app and concerns regarding its use. The app level included desired content, desired features and format considerations. Findings included recommendations to grant free access to the app and include a community support feature for individuals to relate and validate one another's experience with pain from NF1. In addition, participants noted the importance of providing clear instructions on navigating the app, the use of an upbeat, hopeful tone and appropriate visuals.

CONCLUSIONS

Both participant groups endorsed the use of iCanCope (iCC) as an NF1 pain self-management mobile app. Differences between groups were noted, however. The NF1 group appeared interested in detailed and nuanced pain tracking capabilities; the expert group prioritised tracking information such as mood, nutrition and activity to identify potential associations with pain. In tailoring the existing iCC app for individuals with NF1, attention should be paid to creating a community support group feature and to tailoring content, features and format to potential users' specific needs.

Navigating Diabetes Online Communities in Clinical Practice

OBJECTIVE

This purpose of this study was to conduct a rapid review and environmental scan of diabetes online communities (DOCs) to highlight the clinical impact of DOC engagement and provide guidance to health care providers for navigating and prescribing DOCs.

METHODS

This two-phase review included a rapid review of clinical outcomes and an assessment of DOC content. We conducted a literature search for studies evaluating DOC use and glucometric (glycated hemoglobin [A1C], time-in-range, hypoglycemia), behavioral, and psychosocial outcomes. The environmental scan of current DOC sites established key features, including available platforms, target population, content areas, and reach.

RESULTS

Twelve papers were included-eight reported DOC use within a context of do-it-yourself (DIY) noncommercial, opensource hybrid closed loop systems community and four were non-DYI related. In latter, all studies were cross-sectional, describing patient-reported outcomes. Two studies reported A1C lowering with DOC use, two DOC use was associated with high self-efficacy, one showed association with higher self-care levels, and one showed higher quality of life scores when compared with population norms. All DIY studies showed improvement in glucometrics after initiation of sensor augmented pump technology with DOC support. Of 54 DOC sites reviewed in the environmental scan, 29 were included. Diabetes online community sites were heterogenous in social media platform and type of diabetes targeted.

CONCLUSION

Diabetes online communities have the potential to improve clinical, behavioral, and psychosocial outcomes. Randomized control trials and/or longitudinal prospective studies evaluating outcomes are needed to further examine the potential benefits of DOC use. Diabetes online communities are diverse and span a variety of social media platforms, providing clinicians opportunities to individualize recommendations for DOC use.

The role of online social networks in improving health literacy and medication adherence among people living with HIV/AIDS in Iran: Development of a conceptual model

Online social networks have been used to enhance human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) prevention, diagnosis, and treatment programs worldwide. This study aimed to develop a conceptual model of using online social networks in improving health literacy and medication adherence among people living with HIV/AIDS in Iran. This mixed-method sequential exploratory study was conducted in three phases. Firstly, a series of semi-structured interviews with a purposive sample of 29 HIV-positive patients were conducted to investigate the perceptions and experiences of HIV-positive patients about using online social networks to support health literacy and medication adherence. Thematic analysis was used to analyse qualitative interviews, extract potential components, and design a conceptual model. Then, a Delphi study with 27 HIV-positive patients was subsequently conducted to examine the consensus of patients on the proposed model. Finally, the trustworthiness and credibility of the proposed model were reviewed and evaluated by expert panel members from epidemiology and public health. Seven themes and 24 sub-themes emerged from the qualitative interviews. Five themes encompassed components of online social networks that supported communication and information-seeking behaviour of people living with HIV/AIDS. The two other themes encompassed social support and health-related outcomes including medication adherence. The credibility of the proposed conceptual model was confirmed methodologically using the expert panel and Delphi technique. Our findings highlighted that using online social networks has empowered Iranian people living with HIV/AIDS, making them more connected, safe, and able to access HIV/AIDS-related information and services. The role of online social networks in improving health literacy and medication adherence was also demonstrated in a conceptual model to understand the supportive components of online social networks in the HIV care continuum as well as customized interventions to improve the success of antiretroviral therapies.

Online community development in the early stages: the life cycle model application to Medical Sciences Stack Exchange

Purpose

This study aims to investigate the nature and evolution of online communities in the early stages of their life cycles. The authors analyze the topics of discussions in an online community to identify issues related to community development. The authors also compare the topics of exemplary questions that founding members believed to be asked with the real questions based on members' information needs.

Design/methodology/approach

The authors use Medical Sciences Stack Exchange, a health Q&A community of Stack Exchange, which requires four stages of development: definition, commitment, private beta and public beta. The authors collect postings of discussions and health questions in the first three stages, perform a content analysis of the postings and analyze the topics of discussions and health questions.

Findings

The authors find that the topics of discussions evolved dynamically with the issues of community governance, role as a medical/health community, members and roles, content management, quality control and community design. The authors also find that the real questions included more specific and diverse issues than the exemplary questions that founding members expected.

Originality/value

Theoretically, this study tests the community life cycle model in an online community that has explicit phase markers. The findings could shed light on community development and help prioritize issues to solve and decisions to make in its early stages. Additionally, this study focuses on the challenges and concerns in online health community building and solutions generated by collective efforts that could influence health communications in online communities.

The effectiveness of social media intervention in people with diabetes: An integrative review

AIM

This integrative review aimed to synthesise the available quantitative and qualitative studies on the effectiveness of diabetes self-management education (DSME) delivered through social media on glycaemic control (HbA1c), knowledge, health-related quality-of-life (HRQoL), anxiety, depression and self-efficacy in people with diabetes mellitus.

BACKGROUND

DSME is the main component of diabetes management which contributes to behavioural changes and the improvement of metabolic control and self-monitoring skills. Due to limited face-to-face access to healthcare services, social media has increasingly been used to deliver DSME for people with diabetes. However, there is a paucity of reviews addressing the effectiveness of using social media in delivering DSME.

DESIGN

An integrative review was conducted based on Whittemore and Knafl's (2005) methodology.

METHODS

The following databases were searched for relevant studies published between 2000 and 2020: Cumulative Index to Nursing and Allied Health Literature (CINAHL), MEDLINE, Cochrane Library, PsycINFO, EMBASE, EMCare and Google Scholar. The quality of the included studies was assessed using the Mixed Methods Appraisal Tool. The PRISMA checklist for systematic reviews was used.

RESULTS

A total of 13 studies met the inclusion criteria and were included in this review. Facebook and WhatsApp were the most common social media platforms used to deliver DSME intervention. Nurses were the most frequent DSME providers. The duration and content of DSME in the reviewed studies varied. Consistent positive outcomes were found on glycaemic control, diabetic knowledge and self-efficacy. No studies considered the effect of DSME on HRQoL, anxiety and depression.

CONCLUSIONS

Social media DSME can be effective in reducing HbA1c levels, increasing diabetic knowledge and self-efficacy. Further studies are needed to examine the effectiveness of using social media to deliver DSME intervention on HRQoL, anxiety and depression.

RELEVANCE TO CLINICAL PRACTICE

This review provides nurses and healthcare professionals with evidence to support the use of social media to deliver DSME for people with diabetes. DSME delivered via social media supported by nurses would overcome limitations of face-to-face delivery such as geographical distance, travelling time, or other limited resources by patients with diabetes.

Integration of people with diabetes’ vision in the development process to improve self-management via diabetes Apps: A qualitative study (Preprint)

BACKGROUND

Diabetes is a major global epidemic and serious public health problem. Diabetes self-management is a 24/7 challenge for people with type 1 diabetes that influences their quality of life (QoL). Certain apps can support the self-management of people with diabetes; however, current apps do not meet the needs of people with diabetes appropriately, and their safety is not ensured. Moreover, there are a multitude of hardware and software problems associated with diabetes apps and regulations. Clear guidelines are required to regulate medical care via apps. In Germany, apps must undergo 2 examination processes to be listed in the Digitale Gesundheitsanwendungen directory. However, neither examination process considers whether the medical use of the apps is sufficient for users' self-management.

OBJECTIVE

This study aims to contribute to the technology development process of diabetes apps by exploring individual perspectives on desired features and content of diabetes apps among people with diabetes. The vision assessment conducted is a first step toward creating a shared vision among all relevant stakeholders. To ensure adequate research and development processes for diabetes apps in the future, guiding visions from all relevant stakeholders are required.

METHODS

In a qualitative study, 24 semistructured interviews with patients with type 1 diabetes were conducted, among whom 10 (42%) were currently using an app. To clarify the perceptions of people with diabetes regarding the functions and content of diabetes apps, a vision assessment was conducted.

RESULTS

People with diabetes have concrete ideas of features and content in apps to improve their QoL and allow them to live as comfortably as possible, such as informative predictions through artificial intelligence, improvements in signal loss and value delay through smartwatches, improved communication and information-sharing capabilities, reliable information sources, and user-friendly and discreet messaging options through smartwatches. In addition, according to people with diabetes, future apps should show improved sensors and app connectivity to avoid incorrect values being displayed. They also wish for an explicit indication that displayed values are delayed. In addition, personalized information was found to be lacking in apps.

CONCLUSIONS

People with type 1 diabetes want future apps to improve their self-management and QoL and reduce stigma. Desired key features include personalized artificial intelligence predictions of blood glucose levels, improved communication and information sharing through chat and forum options, comprehensive information resources, and smartwatch alerts. A vision assessment is the first step in creating a shared vision among stakeholders to responsibly guide the development of diabetes apps. Relevant stakeholders include patient organizations, health care professionals, insurers, policy makers, device manufacturers, app developers, researchers, medical ethicists, and data security experts. After the research and development process, new apps must be launched while considering regulations regarding data security, liability, and reimbursement.

Continuous Glucose Monitoring Plus an Online Peer Support Community Reinforces Healthy Behaviors in Hispanic Adults With Type 2 Diabetes

Background

Previous research has suggested beneficial glycemic outcomes for people with type 2 diabetes with the use of continuous glucose monitoring (CGM); yet, there is a dearth of data examining CGM in diverse populations. Additionally, the use of online peer support communities (OPSCs) can further support the application of CGM information to improve health behaviors. The purpose of this qualitative study was to assess participant experiences with a CGM+OPSC intervention.

Methods

Semi-structured interviews were conducted after a 12-week combined CGM+OPSC intervention with Hispanic, Spanish-speaking people with type 2 diabetes not using insulin. The OPSC was managed by five trained bilingual peer facilitators. Interviews were conducted in Spanish. Audio recordings were translated and transcribed and then reviewed by the interviewer for accuracy. Emergent themes were identified through inductive thematic analysis.

Results

Twenty-six participants completed interviews. Three main themes emerged from the data: 1) CGM supports participants' understanding of the relationship between glucose levels and health behaviors such as healthy eating, being active, taking medication, stress reduction, and improving sleep; 2) the OPSC reinforced how to make healthy choices through personal experiments, collective learning, and social support; and 3) CGM+OPSC supports behavior change and increases confidence.

Conclusion

When combined, CGM+OPSC interventions appear to create a positive feedback loop to reinforce and optimize healthy behaviors for diabetes self-management in individuals with type 2 diabetes who are not on insulin. The provision of such an intervention tailored to Hispanic, Spanish-speaking individuals has the potential to address the health care disparity seen in this population.

Key Factors Relevant for Healthcare Decisions of Patients with Type 1 and Type 2 Diabetes in Secondary Care According to Healthcare Professionals

Purpose

Understanding which factors are important for healthcare decisions of patients with diabetes in clinical practice is important to personalise diabetes care strategies and tailor care plans to the individual. The main drivers for these healthcare decisions remain unclear. This study assessed which key factors are relevant for healthcare decisions during clinical consultations for patients with type 1 diabetes (T1DM) and type 2 diabetes (T2DM), according to healthcare professionals.

Materials and Methods

Annual diabetes reviews were performed as part of a trial assessing the impact of a consultation model facilitating person-centred diabetes care in six hospital outpatient clinics. After each consultation, we asked healthcare professionals to choose a maximum of three out of 20 factors that were most relevant for healthcare decisions about treatment goals and the professional support needed during the upcoming year. Factors were characterised as either person or disease-related. Percentages reflect the number of annual diabetes reviews in which the key factor was reported.

Results

Seventeen physicians and eight diabetes specialist nurses reported the key factors relevant for healthcare decisions in 285 annual diabetes reviews (T1DM n = 119, T2DM n = 166). Healthcare professionals most often reported quality of life (31.9%), motivation (27.0%) and diabetes self-management (25.6%), and to a lesser extent glycaemic control (24.2%), to be important for decisions about treatment goals. For decisions about the professional support needed during the upcoming year patient's preferences (33.7%), diabetes self-management (33.3%), quality of life (27.0%) and motivation (25.6%) were most often considered relevant by healthcare professionals.

Conclusion

According to healthcare professionals, person-related factors such as quality of life, diabetes self-management and motivation are predominantly relevant for healthcare decisions about treatment goals and the professional support needed during the upcoming year.

Social Media-Delivered Patient Education to Enhance Self-management and Attitudes of Patients with Type 2 Diabetes During the COVID-19 Pandemic: Randomized Controlled Trial

BACKGROUND

The use of mobile health technologies has been necessary to deliver patient education to patients with diabetes during the COVID-19 pandemic.

OBJECTIVE

This open-label randomized controlled trial evaluated the effects of a diabetes educational platform-Taipei Medical University-LINE Oriented Video Education-delivered through a social media app.

METHODS

Patients with type 2 diabetes were recruited from a clinic through physician referral. The social media-based program included 51 videos: 10 about understanding diabetes, 10 about daily care, 6 about nutrition care, 21 about diabetes drugs, and 4 containing quizzes. The intervention group received two or three videos every week and care messages every 2 weeks through the social media platform for 3 months, in addition to usual care. The control group only received usual care. Outcomes were measured at clinical visits through self-reported face-to-face questionnaires at baseline and at 3 months after the intervention, including the Simplified Diabetes Knowledge Scale (true/false version), the Diabetes Care Profile-Attitudes Toward Diabetes Scales, the Summary of Diabetes Self-Care Activities, and glycated hemoglobin (HbA1c) levels. Health literacy was measured at baseline using the Newest Vital Sign tool. Differences in HbA1c levels and questionnaire scores before and after the intervention were compared between groups. The associations of knowledge, attitudes, and self-care activities with health literacy were assessed.

RESULTS

Patients with type 2 diabetes completed the 3-month study, with 91 out of 181 (50.3%) patients in the intervention group and 90 (49.7%) in the control group. The change in HbA1c did not significantly differ between groups (intervention group: mean 6.9%, SD 0.8% to mean 7.0%, SD 0.9%, P=.34; control group: mean 6.7%, SD 0.6% to mean 6.7%, SD 0.7%, P=.91). Both groups showed increased mean knowledge scores at 12 weeks, increasing from 68.3% (SD 16.4%) to 76.7% (SD 11.7%; P<.001) in the intervention group and from 64.8% (SD 18.2%) to 73.2% (SD 12.6%; P<.001) in the control group. Positive improvements in attitudes and self-care activities were only observed in the intervention group (attitudes: mean difference 0.2, SD 0.5, P=.001; self-care activities: mean difference 0.3, SD 1.2, P=.03). A 100% utility rate was achieved for 8 out of 21 (38%) medication-related videos. Low health literacy was a significant risk factor for baseline knowledge scores in the intervention group, with an odds ratio of 2.80 (95% CI 1.28-6.12; P=.01); this became insignificant after 3 months.

CONCLUSIONS

The social media-based program was effective at enhancing the knowledge, attitudes, and self-care activities of patients with diabetes. This intervention was also helpful for patients with low health literacy in diabetes knowledge. The program represents a potentially useful tool for delivering diabetes education to patients through social media, especially during the COVID-19 pandemic.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04876274; https://clinicaltrials.gov/ct2/show/results/NCT04876274.

Examining a Continuous Glucose Monitoring Plus Online Peer Support Community Intervention to Support Hispanic Adults With Type 2 Diabetes: Protocol for a Mixed Methods Feasibility Study

Background

Type 2 diabetes is twice as likely to affect Hispanic people than their White counterparts. Technology and social support may be an important part of behavior change. In this study, we address gaps in diabetes care for Hispanic Spanish-speaking people with diabetes through an online peer support community (OPSC) pilot intervention using Hispanic Spanish-speaking peer facilitators with diabetes to enhance the use of continuous glucose monitoring (CGM) for diabetes management.

Objective

This study aims to address gaps in diabetes care for Hispanic Spanish-speaking people with diabetes through an OPSC pilot intervention using Hispanic Spanish-speaking peer facilitators with diabetes to enhance the use of CGM for diabetes management.

Methods

A mixed-methods, pre-post test design will be used in this feasibility study. A total of 50 Hispanic participants with type 2 diabetes willing to wear a continuous glucose monitor for 13 weeks will be recruited. Hispanic Spanish-speaking peer facilitators with diabetes and experience wearing a continuous glucose monitor will be employed and undergo training. Peer facilitators will help participants learn how CGM data can inform behavior changes via an OPSC. Participants will interact with the private OPSC at least three times a week. Weekly questions and prompts derived from the Association of Diabetes Care and Education Specialists, previously American Association of Diabetes Educators, and seven self-care behaviors will be delivered by peer facilitators to engage participants. Measures of feasibility and acceptability will be determined by the percentage of participants who enroll, complete the study, and use CGM (number of scans) and objective metrics from the OPSC. Efficacy potential outcomes include change in time in range of 70 to 180 mg/dL from baseline to 12 weeks, A_1c, diabetes online community engagement, self-efficacy, and quality of life. Additionally, semistructured exit interviews will be conducted.

Results

Funding for this project was secured in November 2018 and approved by the institutional review board in April 2019. Peer facilitator recruitment and training were undertaken in the second half of 2019, with participant recruitment and data collection conducted in January and April 2020. The study has now concluded.

Conclusions

This study will generate new evidence about the use of an OPSC for Hispanic Spanish-speaking patients with diabetes to make behavior changes incorporating feedback from CGM.

Trial Registration

ClinicalTrials.gov NCT03799796; https://clinicaltrials.gov/ct2/show/NCT03799796

International Registered Report Identifier (IRRID)

RR1-10.2196/31595

Equity in the Provision of Diabetes Self-Management Education and Support

Diabetes self-management education and support (DSMES) interventions must be accessible to all people with diabetes. To address equity in the delivery of DSMES, interventions should consider the unique needs of various populations. This article outlines the needs of a wide range of populations, including people with diabetes who are racially or ethnically diverse; have limited English proficiency or literacy; are deaf or hard of hearing; are blind or have low vision; are neurodiverse; live with learning disabilities or intellectual or developmental disabilities; have dementia or cognitive impairment; or are of sexual and/or gender minority. The authors discuss how best to tailor DSMES to meet the needs of these diverse groups.

Cross-Sectional Study on Health Literacy and Internet Accessibility Among Patients With DM in Gansu, China

Objective: To determine the relationship between the health literacy of patients with diabetes mellitus (DM) and the accessibility of internet surfing for information concerning DM.

Methods: A multistage stratified sampling method was utilized to conduct a questionnaire survey on DM health literacy and internet accessibility among 1,563 patients with DM in Gansu Province in 2020. Logistic regression was performed to analyze the factors that influence health literacy and internet accessibility; while the chi-square test was used to compare the differences in needs.

Results: Among 1,563 valid questionnaires collected with an effective rate of 95.7%, there were 65.4, 66.3, or 51.1% of patients with DM were found to have good health knowledge, attitudes, or practice levels, respectively. Occupation, income, disease course of DM, and accessibility to the internet were the main factors influencing health literacy. Age, residency, occupation, education, income, and family history of DM were the factors influencing accessibility to internet surfing for DM. The expectations from patients with DM for the capacity to obtain DM information from traditional sources or through internet sources was 1,465 (93.7%) or 1,145 (73.3%), respectively. Patients with DM had a 2-fold higher desire to obtain DM health information from internet media if the patients had access to the internet than those without (P < 0.05).

Conclusions: The socioeconomic status and access to the internet were the main contributing factors for health literacy, as socioeconomic status is closely related to access to the internet.

Identifying and Reducing Disparities in Young Adults With Diabetes

This article outlines how social and health care determinants can affect young adults with diabetes. The authors provide a detailed description of each determinant's influence on diabetes self-management and offer solutions to help mitigate these harmful effects.

Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community

Background

Social media platforms, such as Twitter, are increasingly popular among communities of people with chronic conditions, including those with type 1 diabetes (T1D). There is some evidence that social media confers emotional and health-related benefits to people with T1D, including emotional support and practical information regarding health maintenance. Research on social media has primarily relied on self-reports of web-based behavior and qualitative assessment of web-based content, which can be expensive and time-consuming. Meanwhile, recent advances in natural language processing have allowed for large-scale assessment of social media behavior.

Objective

This study attempts to document the major themes of Twitter posts using a natural language processing method to identify topics of interest in the T1D web-based community. We also seek to map social relations on Twitter as they relate to these topics of interest, to determine whether Twitter users in the T1D community post in “echo chambers,” which reflect their own topics back to them, or whether users typically see a mix of topics on the internet.

Methods

Through Twitter scraping, we gathered a data set of 691,691 tweets from 8557 accounts, spanning a date range from 2008 to 2020, which includes people with T1D, their caregivers, health practitioners, and advocates. Tweet content was analyzed for sentiment and topic, using Latent Dirichlet Allocation. We used social network analysis to examine the degree to which identified topics are siloed within specific groups or disseminated through the broader T1D web-based community.

Results

Tweets were, on average, positive in sentiment. Through topic modeling, we identified 6 broad-bandwidth topics, ranging from clinical to advocacy to daily management to emotional health, which can inform researchers and practitioners interested in the needs of people with T1D. These analyses also replicate prior work using machine learning methods to map social behavior on the internet. We extend these results through social network analysis, indicating that users are likely to see a mix of these topics discussed by the accounts they follow.

Conclusions

Twitter communities are sources of information for people with T1D and members related to that community. Topics identified reveal key concerns of the T1D community and may be useful to practitioners and researchers alike. The methods used are efficient (low cost) while providing researchers with enormous amounts of data. We provide code to facilitate the use of these methods with other populations.

Physicians with self-diagnosed gadolinium deposition disease: a case series

Objective

The objective of this study was to allow physicians with self-diagnosed gadolinium deposition disease symptoms to report their own experience.

Materials and Methods

Nine physicians (seven females), with a mean age of 50.5 ± 8.3 years, participated in this case series. Nationalities were American (n = 6), British, Portuguese, and Romanian. Medical practices included internal medicine (n = 2), trauma surgery, ophthalmology, gastroenterology, psychiatry, family medicine, obstetrics/gynecology, and general practice.

Results

Genetically, eight of the physicians were of central European origin. Underlying autoimmune conditions were present in four. Symptoms developed after a single injection in one physician and after multiple injections in eight. The precipitating agent was gadobenate dimeglumine in four physicians, gadobutrol in three, gadoterate meglumine in one, and gadopentetate dimeglumine in one. The most consistent symptoms were a burning sensation, brain fog, fatigue, distal paresthesia, fasciculations, headache, and insomnia. Eight of the physicians were compelled to change their practice of medicine.

Conclusion

In the various physicians, gadolinium deposition disease showed common features and had a substantial impact on daily activity. Physicians are educated reporters on disease, so their personal descriptions should spark interest in further research.

Making Diabetes Care Fit—Are We Making Progress?

The care of patients with diabetes requires plans of care that make intellectual, practical, and emotional sense to patients. For these plans to fit well, patients and clinicians must work together to develop a common understanding of the patient’s problematic human situation and co-create a plan of care that responds well to it. This process, which starts at the point of care, needs to continue at the point of life. There, patients work to fit the demands of their care plan along with the demands placed by their lives and loves. Thought in this way, diabetes care goes beyond the control of metabolic parameters and the achievement of glycemic control targets. Instead, it is a highly individualized endeavor that must arrive at a care plan that reflects the biology and biography of the patient, the best available research evidence, and the priorities and values of the patient and her community. It must also be feasible within the life of the patient, minimally disrupting those aspects of the patient life that are treasured and justify the pursuit of care in the first place. Patient-centered methods such as shared decision making and minimally disruptive medicine have joined technological advances, patient empowerment, self-management support, and expert patient communities to advance the fit of diabetes care both at the point of care and at the point of life.

Role of Digital Engagement in Diabetes Care Beyond Measurement: Retrospective Cohort Study

BACKGROUND

The use of remote data capture for monitoring blood glucose and supporting digital apps is becoming the norm in diabetes care. One common goal of such apps is to increase user awareness and engagement with their day-to-day health-related behaviors (digital engagement) in order to improve diabetes outcomes. However, we lack a deep understanding of the complicated association between digital engagement and diabetes outcomes.

OBJECTIVE

This study investigated the association between digital engagement (operationalized as tagging of behaviors alongside glucose measurements) and the monthly average blood glucose level in persons with type 2 diabetes during the first year of managing their diabetes with a digital chronic disease management platform. We hypothesize that during the first 6 months, blood glucose levels will drop faster and further in patients with increased digital engagement and that difference in outcomes will persist for the remainder of the year. Finally, we hypothesize that disaggregated between- and within-person variabilities in digital engagement will predict individual-level changes in blood glucose levels.

METHODS

This retrospective real-world analysis followed 998 people with type 2 diabetes who regularly tracked their blood glucose levels with the Dario digital therapeutics platform for chronic diseases. Subjects included "nontaggers" (users who rarely or never used app features to notice and track mealtime, food, exercise, mood, and location, n=585) and "taggers" (users who used these features, n=413) representing increased digital engagement. Within- and between-person variabilities in tagging behavior were disaggregated to reveal the association between tagging behavior and blood glucose levels. The associations between an individual's tagging behavior in a given month and the monthly average blood glucose level in the following month were analyzed for quasicausal effects. A generalized mixed piecewise statistical framework was applied throughout.

RESULTS

Analysis revealed significant improvement in the monthly average blood glucose level during the first 6 months (t=-10.01, P<.001), which was maintained during the following 6 months (t=-1.54, P=.12). Moreover, taggers demonstrated a significantly steeper improvement in the initial period relative to nontaggers (t=2.15, P=.03). Additional findings included a within-user quasicausal nonlinear link between tagging behavior and glucose control improvement with a 1-month lag. More specifically, increased tagging behavior in any given month resulted in a 43% improvement in glucose levels in the next month up to a person-specific average in tagging intensity (t=-11.02, P<.001). Above that within-person mean level of digital engagement, glucose levels remained stable but did not show additional improvement with increased tagging (t=0.82, P=.41). When assessed alongside within-person effects, between-person changes in tagging behavior were not associated with changes in monthly average glucose levels (t=1.30, P=.20).

CONCLUSIONS

This study sheds light on the source of the association between user engagement with a diabetes tracking app and the clinical condition, highlighting the importance of within-person changes versus between-person differences. Our findings underscore the need for and provide a basis for a personalized approach to digital health.

Online Communities as a Driver for Patient Empowerment: Systematic Review

BACKGROUND

The use of online resources has changed how people manage health care processes. Patients seek information about health conditions, guidance in treatment, and support from peers online, complementary to traditional health care trajectories. Online communities have the potential to contribute to the quality of care by increasing patient empowerment; however, there is a gap in research regarding in what way online communities contribute to patient empowerment.

OBJECTIVE

We synthesized research regarding how online communities contribute to patient empowerment to address the research question "In what ways can participation in online communities support patient empowerment?" by studying how patient empowerment is operationalized in different studies. The definition of patient empowerment used in this paper is enablement for people to develop mastery over actions and control over decisions that influence their lives. The mastery is both through processes and outcomes of the development.

METHODS

A systematic review was conducted by searching in the following databases: Scopus, ACM Digital Library, EBSCO (CINAHL and MEDLINE), PubMed, and Web of Science. In total, there were 1187 papers after excluding duplicates, and through selection processes using an analytical framework with definitions of patient empowerment and related concepts, 33 peer-reviewed papers were included.

RESULTS

Findings indicated that online communities support patient empowerment both as a process and as outcomes of these processes. Additionally, it was seen as a complement to traditional health care and encouragement for health care professionals to have a more positive attitude toward patients' usage. There was a mix between deductive (19/33, 58%), inductive (11/33, 33%), and a mixed approach (3/33, 9%) of studying patient empowerment in various forms. The online communities in most papers (21/33, 64%) were well-established and represented patients' initiatives.

CONCLUSIONS

There is a need to include professionals' perspectives regarding how health care can embrace patient empowerment through online communities. This systematic review's main contribution is the proposal of a new framework and conceptualization of how patient empowerment in online communities can be understood from different hierarchical levels.

Qualitative Content Analysis of Type 1 Diabetes Caregiver Blogs and Correlations With Caregiver Challenges and Successes

Social media increasingly reflects patient experience, especially for self-managed conditions. We examined family experience with type 1 diabetes (T1D) through qualitative analysis of blogs written by caregivers of children with T1D, survey derived from that analysis, and survey administration among T1D caregivers. Analysis of 140 blog posts and 663 associated comments identified 77 topics, which were categorized into self-management, emotional, challenges, and successes. By subcategory analysis, self-management challenges were strongly correlated between blog content and survey responses (R = .838, P = .005), and emotional challenges were moderately correlated (R = .415, P = .02). Emotional successes were not significantly correlated (R = .161, P = .511), and self-management successes were too few to analyze. The range of topics and the correlations between blog expressions and survey responses highlight the potential of blog analysis to gain insight into the challenges facing families living with T1D.

“Not Today, Diabetes”: Using Blog Analysis to Understand Emotional Interactions and Support Among People With Type 1 Diabetes

The goal of this study is to understand how internet blogs are used by people with type 1 diabetes (T1D) to provide or exchange social support. A stratified, clustered proportionate probability sample of entries from 10 Internet blogs focusing on T1D was obtained. A random sample of 100 days generated 200 blogger posts and 1,606 commenter responses. Entries were coded using qualitative analysis software and analyzed thematically. Blogs were used as a dynamic, interactional form of emotional support from others who understood diabetes from personal experience; and as a source of sharing lived user experience of having diabetes, more often than as a way of communicating medical knowledge or facts about diabetes. Blog participation contributed to a sense of belonging for participants in the “Diabetes Online Community” where there was a shared culture. In conclusion, blogs provide unobtrusive access to the experiences of people with T1D that are driven by their interests rather than those of qualitative research interviewers or healthcare providers. In addition to permitting analysis of the way that participants use blogs to address their own personal wants and needs, blog data can serve as an inexpensive and unobtrusive method for studying topics of interests to researchers and healthcare providers.

Participation of Patients With Type 2 Diabetes in Online Support Groups is Correlated to Lower Levels of Diabetes Self-Management

BACKGROUND

Support groups play an important role in diabetes understanding and education. This study aims to find connections between participating in diabetes-related online communities (groups and forums) and the self-reported degree of self-care management and health problems associated with type 1 and 2 diabetes.

METHODS

A cross-sectional study using an online survey was conducted and 307 participants were recruited. Participants were asked about diabetes self-care management (glucose management, healthcare, dietary restrictions, and physical activity) and complications related to the disease, as well as their participation in online social groups and forums (duration, time, and intensity).

RESULTS

Belonging to diabetes-related online support groups (OSGs) was associated with lower scores in healthcare and self-management of diabetes (M = 2.98, SD = 1.07, n = 207, for belonging to OSGs; and M = 4.22, SD = 0.59, n = 97, for not belonging to OSGs). These differences were not statistically significant for type 1 diabetes individuals (M = 4.33, SD = 0.47, n = 28, for belonging to OSGs, and M = 4.29, SD = 0.48, n = 52, for not belonging to OSGs), but were highly significant for type 2 diabetes (T2D) individuals (M = 2.41, SD = 0.68, n = 144, for belonging to OSGs; and M = 4.14, SD = 0.64, n = 61, for not belonging to OSGs). People with both type 1 and 2 diabetes reported to have suffered more complications derived from diabetes when they belonged to an OSG, but greater statistically significant differences were found in type 2 individuals.

CONCLUSION

Patients with T2D who participate in OSGs show a higher correlation with having lower levels of diabetes self-care management as well as health complications related to the disease.

Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study

Background

Diabetes patient associations and diabetes-specific patient groups around the world are present on social media. Although active participation and engagement in these diabetes social media groups has been mostly linked to positive effects, very little is known about the content that is shared on these channels or the post features that engage their users the most.

Objective

The objective of this study was to analyze (1) the content and features of posts shared over a 3-year period on 3 diabetes social media channels (Facebook, Twitter, and Instagram) of a diabetes association, and (2) users’ engagement with these posts (likes, comments, and shares).

Methods

All social media posts published from the Norwegian Diabetes Association between January 1, 2017, and December 31, 2019, were extracted. Two independent reviewers classified the posts into 7 categories based on their content. The interrater reliability was calculated using Cohen kappa. Regression analyses were carried out to analyze the effects of content topic, social media channel, and post features on users’ engagement (likes, comments, and shares).

Results

A total of 1449 messages were posted. Posts of interviews and personal stories received 111% more likes, 106% more comments, and 112% more shares than miscellaneous posts (all P<.001). Messages posted about awareness days and other celebrations were 41% more likely to receive likes than miscellaneous posts (P<.001). Conversely, posts on research and innovation received 31% less likes (P<.001), 35% less comments (P=.02), and 25% less shares (P=.03) than miscellaneous posts. Health education posts received 38% less comments (P=.003) but were shared 39% more than miscellaneous posts (P=.007). With regard to social media channel, Facebook and Instagram posts were both 35 times more likely than Twitter posts to receive likes, and 60 times and almost 10 times more likely to receive comments, respectively (P<.001). Compared to text-only posts, those with videos had 3 times greater chance of receiving likes, almost 4 times greater chance of receiving comments, and 2.5 times greater chance of being shared (all P<.001). Including both videos and emoji in posts increased the chances of receiving likes by almost 7 times (P<.001). Adding an emoji to posts increased their chances of receiving likes and being shared by 71% and 144%, respectively (P<.001).

Conclusions

Diabetes social media users seem to be least engaged in posts with content topics that a priori could be linked to greater empowerment: research and innovation on diabetes, and health education. Diabetes social media groups, public health authorities, and other stakeholders interested in sharing research and innovation content and promoting health education on social media should consider including videos and emoji in their posts, and publish on popular and visual-based social media channels, such as Facebook and Instagram, to increase user engagement.

International Registered Report Identifier (IRRID)

RR2-10.1186/s12913-018-3178-7

Facebook as a Medium for the Support and Enhancement of Ambulatory Care for People With Diabetes: Qualitative Realist Evaluation of a Real-World Trial

BACKGROUND

There is a growing focus on the potential uses, benefits, and limitations of social media in the context of health care communication. In this study, we have sought to evaluate an initiative pioneered at a hospital in Denmark that uses Facebook to support and enhance patient-provider communication about diabetes.

OBJECTIVE

This paper aims to evaluate the success of the trial according to its initial objectives and to assess its potential scalability.

METHODS

The study was undertaken in a clinic for diabetes and hormonal diseases at a large regional hospital in Denmark. Using a realist evaluation approach, we identified 4 key components in the program theory of the initiative, which we formulated as context-mechanism-outcome configurations (eg, complex and iterative chains of causality). These configurations informed data gathering and analysis. Primary data sources were the activity and content in the Facebook group, in the form of posts, likes, and comments, and interviews with patients (n=26) and staff (n=6) at the clinic.

RESULTS

New developments in diabetes technology were the most popular posts in the forum, judged by number of likes and comments. Otherwise, information specific to the clinic received the most attention. All 4 components of the program theory were compromised to varying degrees, either as a result of failings in the anticipated mechanisms of change or contextual factors derived from the mode of implementation.

CONCLUSIONS

Social media serves well as a conduit for imagining positive change, but this can be a strength and weakness when attempting to enact change via concrete interventions, where stakeholder expectations may be unreasonably high or incompatible. Nonetheless, such initiatives may possess intangible benefits difficult to measure in terms of cost-effectiveness.

Differential influences of social support on app use for diabetes self-management - a mixed methods approach

Background

Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as a means for delivering social support, this paper argues that social support has an impact on the use of diabetes mHealth apps. Specifically, we postulate differences between the impact of healthcare professional versus non-professional (family/friends) support on mobile app use for diabetes self-management.

Methods

This research employed a triangulation of methods including exploratory semi-structured face-to-face interviews (N = 21, Study 1) and an online survey (N = 65, Study 2) with adult type 1 and type 2 diabetes patients. Thematic analysis (Study 1) was used to explore the relevance of social support (by professionals versus non-professionals) for diabetes app use. Binary logistic regression (Study 2) was applied to compare healthcare decision-making, healthcare-patient communication, and the support by the personal patient network as predictors of diabetes app use, complemented by other predictors from self-management and technology adoption theory.

Results

The interviews (Study 1) demonstrated that (technology-supported) shared decision-making and supportive communication by healthcare professionals depended on their medical specialty. The personal patient network was perceived as either facilitating or hindering the use of mHealth for self-management. Binary logistic regression (Study 2) showed that the physician specialty significantly predicted the use of diabetes apps, with supervision by diabetes specialists increasing the likelihood of app use (as opposed to general practitioners). Additionally, specialist care positively related to a higher chance of shared decision-making and better physician-patient communication. The support by the personal patient network predicted diabetes app use in the opposite direction, with less family/friend support increasing the likelihood of app use.

Conclusion

The results emphasize the relevance of support by healthcare professionals and by the patient network for diabetes app use and disclose differences from the existing literature. In particular, the use of diabetes apps may increase in the absence of social support by family or friends (e.g., compensation for lack of support), and may decrease when such support is high (e.g., no perceived need to use technology).

Assessment of Adaptive Engagement and Support Model for People With Chronic Health Conditions in Online Health Communities: Combined Content Analysis

Background

With the pervasiveness of social media, online health communities (OHCs) are an important tool for facilitating information sharing and support among people with chronic health conditions. Importantly, OHCs offer insight into conversations about the lived experiences of people with particular health conditions. Little is known about the aspects of OHCs that are important to maintain safe and productive conversations that support health.

Objective

This study aimed to assess the provision of social support and the role of active moderation in OHCs developed in accordance with and managed by an adaptive engagement model. This study also aimed to identify key elements of the model that are central to the development, maintenance, and adaptation of OHCs for people with chronic health conditions.

Methods

This study used combined content analysis, a mixed methods approach, to analyze sampled Facebook post comments from 6 OHCs to understand how key aspects of the adaptive engagement model facilitate different types of social support. OHCs included in this study are for people living with multiple sclerosis, migraine, irritable bowel syndrome, rheumatoid arthritis, lung cancer, and prostate cancer. An exploratory approach was used in the analysis, and initial codes were grouped into thematic categories and then confirmed through thematic network analysis using the Dedoose qualitative analysis software tool. Thematic categories were compared for similarities and differences for each of the 6 OHCs and by topic discussed.

Results

Data on the reach and engagement of the Facebook posts and the analysis of the sample of 5881 comments demonstrate that people with chronic health conditions want to engage on the web and find value in supporting and sharing their experiences with others. Most comments made in these Facebook posts were expressions of social support for others living with the same health condition (3405/5881, 57.89%). Among the comments with an element of support, those where community members validated the knowledge or experiences of others were most frequent (1587/3405, 46.61%), followed by the expression of empathy and understanding (1089/3405, 31.98%). Even among posts with more factual content, such as insurance coverage issues, user comments still had frequent expressions of support for others (80/213, 37.5%).

Conclusions

The analysis of this OHC adaptive engagement model in action shows that the foundational elements—social support, engagement, and moderation—can effectively be used to provide a rich and dynamic community experience for individuals with chronic health conditions. Social support is demonstrated in a variety of ways, including sharing information or validating information shared by others, expressions of empathy, and sharing encouraging statements with others.

Diabetes-Related Topics in an Online Forum for Caregivers of Individuals Living With Alzheimer Disease and Related Dementias: Qualitative Inquiry

BACKGROUND

Diabetes and Alzheimer disease and related dementias (ADRD) are the seventh and sixth leading causes of death in the United States, respectively, and they coexist in many older adults. Caring for a loved one with both ADRD and diabetes is challenging and burdensome.

OBJECTIVE

This study aims to explore diabetes-related topics in the Alzheimer's Association ALZConnected caregiver forum by family caregivers of persons living with ADRD.

METHODS

User posts on the Alzheimer's Association ALZConnected caregiver forum were extracted. A total of 528 posts related to diabetes were included in the analysis. Of the users who generated the 528 posts, approximately 96.1% (275/286) were relatives of the care recipient with ADRD (eg, child, grandchild, spouse, sibling, or unspecified relative). Two researchers analyzed the data independently using thematic analysis. Any divergence was discussed among the research team, and an agreement was reached with a senior researcher's input as deemed necessary.

RESULTS

Thematic analysis revealed 7 key themes. The results showed that comorbidities of ADRD were common topics of discussions among family caregivers. Diabetes management in ADRD challenged family caregivers. Family caregivers might neglect their own health care because of the caring burden, and they reported poor health outcomes and reduced quality of life. The online forum provided a platform for family caregivers to seek support in their attempts to learn more about how to manage the ADRD of their care recipients and seek support for managing their own lives as caregivers.

CONCLUSIONS

The ALZConnected forum provided a platform for caregivers to seek informational and emotional support for caring for persons living with ADRD and diabetes. The overwhelming burdens with these two health conditions were apparent for both caregivers and care recipients based on discussions from the online forum. Studies are urgently needed to provide practical guidelines and interventions for diabetes management in individuals with diabetes and ADRD. Future studies to explore delivering diabetes management interventions through online communities in caregivers and their care recipients with ADRD and diabetes are warranted.

A Facilitated Web-Based Self-Management Tool for People With Type 1 Diabetes Using an Insulin Pump: Intervention Development Using the Behavior Change Wheel and Theoretical Domains Framework

BACKGROUND

Type 1 diabetes (T1D) requires intensive self-management (SM). An insulin pump is designed to better support personal T1D management, but at the same time, it exacerbates the complexity and requirements of SM. Research shows that people with diabetes are likely to benefit from navigating and connecting to local means of social support and resources through web-based interventions that offer flexible, innovative, and accessible SM. However, questions remain as to which behavior change mechanisms within such resources benefit patients most and how to foster engagement with and endorsement of SM interventions.

OBJECTIVE

The aim of this study was to evaluate the perspectives and experiences of people with T1D using an insulin pump and specialist health care professionals (HCPs) and determine what behavior change characteristics and strategies are required to inform the optimization of an existing web-based social network (SN) intervention to support SM.

METHODS

Focus groups with insulin pump users (n=19) and specialist HCPs (n=20) in 6 National Health Service (NHS) trusts across the south of England examined the barriers and enablers to incorporating and self-managing an insulin pump. An analysis was undertaken using the Behavior Change Wheel and Theoretical Domains Framework, followed by a taxonomy of behavior change techniques (BCTs) to identify the contents of and strategies for the implementation of a complex health intervention.

RESULTS

A total of 4 themes represent the SM perspectives and experiences of stakeholders: (1) a desire for access to tailored and appropriate resources and information-the support and information required for successful SM are situational and contextual, and these vary according to time and life circumstances, and therefore, these need to be tailored and appropriate; (2) specific social support preferences-taking away isolation as well as providing shared learnings and practical tips, but limitations included the fear of judgment from others and self-pity from peers; (3) the environmental context, that is, capacity and knowledge of pump clinic HCPs-HCPs acknowledge the patient's need for holistic support but lack confidence in providing it; and (4) professional responsibility and associated risks and dangers, whereas HCPs are fearful of the consequences of promoting non-NHSSM support, and they question whether SM support fits into their role. BCTs were identified to address these issues.

CONCLUSIONS

The use of behavioral theory and a validated implementation framework provided a comprehensive approach for systematically identifying barriers and enablers of self-managing T1D with an insulin pump. A web-based SN intervention appears to offer additional forms of SM support while complementing NHS services. However, for intervention implementation, HCPs' apprehensions about responsibility when signposting to non-NHS SM support would need to be addressed, and opportunistic features would need to be added, through which pump users could actively engage with other people living with T1D.

In-Person and Technology-Mediated Peer Support in Diabetes Care: A Systematic Review of Reviews and Gap Analysis

PURPOSE

The purpose of this study is to report a systematic review of reviews of evidence and gaps focused on in-person and technology-mediated diabetes peer support and its impact on clinical, behavioral, and psychosocial outcomes.

METHODS

We conducted a systematic review of reviews in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Reviews published in English from December 1978 through December 2018 examining clinical, behavioral, and psychosocial outcomes were included. The search yielded 167 reviews that were examined for inclusion/exclusion criteria.

RESULTS

Nine systematic reviews and meta-analyses meeting criteria were included. Findings suggest peer support interventions can have a positive impact on clinical (A1C, blood pressure, cholesterol, weight), behavioral (diabetes knowledge, being active, healthy eating, medication management, self-management, self-efficacy, empowerment), and psychosocial (social support, health and diabetes distress, depression, quality of life) outcomes. Research gaps exist related to understanding the effects of emerging technology-mediated peer support modalities and the effects of peer support on gestational diabetes.

CONCLUSION

Many clinical, behavioral, and psychosocial benefits related to in-person and technology-mediated peer support exist. Diabetes care and education specialists should incorporate and recommend peer support resources for people with diabetes.

Social Support and User Characteristics in Online Diabetes Communities: An In-Depth Survey of a Large-Scale Chinese Population

:Objective: To determine the characteristics of members of online diabetes communities as well as those factors affecting the provision and acceptance of social support. Methods: A cross-sectional STAR questionnaire survey was conducted among patients with diabetes who were members of online diabetes groups. Univariate and multivariate binary logistic regression analysis were adopted to explore the relative analysis of providing and accepting social support compared with the characteristics of members in virtual diabetics' groups. Results: A total of 1297 respondents were collected. The map distribution of patients in China was mainly located in the Guangdong, Jiangsu, Shandong, Henan, and Hebei provinces. As for their demographic characteristics, respondents had diabetes or prediabetes and were between the ages of 21 and 50 years (Median age was 35.0 (interquartile range from 28.0 to 44.0)). Most respondents were married and lived in cities. The education level of patients was mainly distributed throughout junior high, technical secondary, high school, junior college, and undergraduate levels. Age, marital status, and education level varied by gender, and the total score of the patients aged 41 to 50 for social support had a statistical significance between male and female. In addition, when group members were in junior high school or below, or were undergraduate students, their total social support scores varied by gender. Binary logistic regression showed that in 21 independent variables the total score and the total score grade of relationship intensity in the online group and reorganize of age were significant. The patients' social support acceptance of the map of respondents score grading of relationship intensity in the online group was 5.420 times higher than that of the lower score grading of relationship intensity in the group. At the same time, the patients' social support acceptance of the patients at the age of less than or equal to 31 years old was 19.608 times higher than that of group members aged more than 31 years old. Conclusion: Age and education background of the patients affects scores of social supports between males and females. The higher the total score and the score grade of relationship intensity in the online group, the higher the patients' social support acceptance. The younger patients had a better utilization of social support.

Mapping the Evidence on the Effectiveness of Telemedicine Interventions in Diabetes, Dyslipidemia, and Hypertension: An Umbrella Review of Systematic Reviews and Meta-Analyses

Background

Telemedicine is defined by three characteristics: (1) using information and communication technologies, (2) covering a geographical distance, and (3) involving professionals who deliver care directly to a patient or a group of patients. It is said to improve chronic care management and self-management in patients with chronic diseases. However, currently available guidelines for the care of patients with diabetes, hypertension, or dyslipidemia do not include evidence-based guidance on which components of telemedicine are most effective for which patient populations.

Objective

The primary aim of this study was to identify, synthesize, and critically appraise evidence on the effectiveness of telemedicine solutions and their components on clinical outcomes in patients with diabetes, hypertension, or dyslipidemia.

Methods

We conducted an umbrella review of high-level evidence, including systematic reviews and meta-analyses of randomized controlled trials. On the basis of predefined eligibility criteria, extensive automated and manual searches of the databases PubMed, EMBASE, and Cochrane Library were conducted. Two authors independently screened the studies, extracted data, and carried out the quality assessments. Extracted data were presented according to intervention components and patient characteristics using defined thresholds of clinical relevance. Overall certainty of outcomes was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool.

Results

Overall, 3564 references were identified, of which 46 records were included after applying eligibility criteria. The majority of included studies were published after 2015. Significant and clinically relevant reduction rates for glycated hemoglobin (HbA_1c; ≤−0.5%) were found in patients with diabetes. Higher reduction rates were found for recently diagnosed patients and those with higher baseline HbA_1c (>8%). Telemedicine was not found to have a significant and clinically meaningful impact on blood pressure. Only reviews or meta-analyses reporting lipid outcomes in patients with diabetes were found. GRADE assessment revealed that the overall quality of the evidence was low to very low.

Conclusions

The results of this umbrella review indicate that telemedicine has the potential to improve clinical outcomes in patients with diabetes. Although subgroup-specific effectiveness rates favoring certain intervention and population characteristics were found, the low GRADE ratings indicate that evidence can be considered as limited. Future updates of clinical care and practice guidelines should carefully assess the methodological quality of studies and the overall certainty of subgroup-specific outcomes before recommending telemedicine interventions for certain patient populations.

Social Media in the Diabetes Community: a Novel Way to Assess Psychosocial Needs in People with Diabetes and Their Caregivers

PURPOSE OF REVIEW

Diabetes is a chronic disease that, regardless of type, requires intensive, ongoing self-management. As a result, people with diabetes (PWD) often have complex environmental, social, behavioral, and informational needs, many of which are unmet in healthcare settings and systems. To help meet these needs, many PWD interact with diabetes online communities (DOCs), including platforms such as Facebook, Twitter, and blogs, to share real-life support, problems, and concerns with other PWD, offering a rich source of data on patient-reported outcomes. This article reviews recent psychosocial needs and outcomes identified by studies of DOCs and/or their users.

RECENT FINDINGS

Participation in DOCs appears driven by a need for psychosocial support, unmet by providers and the healthcare system, as well as a sense of duty to provide it to others. The most common activities observed in DOCs are giving and receiving various types of support: psychosocial, technical, informational, and self-management. General and specific challenges (e.g., continuous glucose monitoring) as well as frustrations and worries associated with those challenges are commonly expressed, leading to reciprocal sharing, support, and encouragement, in a judgment-free manner, from other PWD. This leads users to feel more understood, empowered, validated, less alone, and more supported. Negative findings were reported very rarely and focused more on how other participants used social media rather than on the exchange of misplaced or dangerous information or advice. Diabetes online communities have grown from unmet needs for problem-solving and psychosocial support for living with a complex condition and from the availability of a new communications medium (i.e., social media). This has enabled communities of peers to both seek and receive support for living with diabetes, providing an important supplement to what is provided in healthcare settings and offering valuable information about what is most important to PWD and their families, with the potential to improve psychosocial care.

An Examination of Sex Differences in a Disease-Specific Model of Disordered Eating Behaviors in Type 1 Diabetes

OBJECTIVE

Preliminary evidence supports the integration of type 1 diabetes (T1D) disease-specific factors into eating disorder risk models. The current study explored whether cross-sectional associations among constructs included in the modified dual pathway model of eating disorder risk for individuals with T1D are similar across sex among adolescents and young adults with T1D.

METHODS

Original study participants were recruited from the T1D Exchange Clinic Network, a U.S. registry of individuals with T1D. Online surveys included measures of general eating disorder risk factors, hypothesized T1D-specific risk factors, and a T1D-specific eating disorder questionnaire. The current study is a secondary analysis with the adolescents (13-17 years; n = 307; 46.9% female) and young adults (18-25 years; n = 313; 62.6% female) from the original sample. In the absence of strong measurement invariance for all measures of interest, sex-specific path models were estimated among the adolescent and young adult cohorts.

RESULTS

Only two paths emerged as significant in the female, but not male, adolescent model. In the young adult cohort, all significant paths were the same across sex.

CONCLUSIONS

Both general and T1D-specific risk factors are associated with disordered eating behaviors in the T1D population. Patterns of associations were similar across male and female youth with T1D, suggesting that sex-specific prevention approaches to disordered eating behaviors among T1D youth may not be warranted.

Factors of Engagement and Patient-Reported Outcomes in a Stage IV Breast Cancer Facebook Group

This study examines the factors of online engagement, and the relationship between online engagement and health expectations in a Stage IV breast cancer Facebook group. Members of the Facebook group completed a survey that assessed tie strength, homophily, and health expectations. A content analysis measured optimal social support, and Facebook analytics measured engagement. The results show optimal social support and tie strength are positively related to engagement. However, only optimal social support explains variance in engagement independent of tie strength and homophily. Additionally, the more engaged members are, the more positive their health expectations. The results emphasize the value of optimal social support and engagement in online support groups for individuals with Stage IV breast cancer.

Open Access as a Revolution: Knowledge Alters Power

The slogan “Gimme My Damn Data” has become a hallmark of a patient movement whose goal is to gain access to data in their medical records. Its first conference appearance was ten years ago, in September 2009. In the decade since there have been enormous changes in both the technology and sociology of medicine as well as in their synthesis. As the patient movement has made strides, it has been met with opposition and obstacles. It has also become clear that the availability of Open Access information is just as empowering (or disabling) as access to electronic medical records and device data. Knowledge truly is power, and to withhold knowledge is to disempower patients. This essay lays out many examples of how this shows up as we strive for the best future of care.

Social Media Use By People With Diabetes In Saudi Arabia: A Survey About Purposes, Benefits And Risks

PURPOSE

The aim of this study was to analyze the use of social media by people with diabetes in Saudi Arabia and to know the purposes, benefits and risks of its use.

METHODS

In this study a cross-sectional survey was carried out with a random sample of 158 people with all type of diabetes living in Saudi Arabia. The survey was distributed using WhatsApp and Twitter accounts of diabetic associations in Saudi Arabia. Descriptive statistics was used to analyze the data.

RESULTS

The majority of the respondents were females (69%), and most of them had type 1 diabetes (70%). Almost half (47%) of the sampled population stated that they used social media for obtaining information related to diabetes; 34% employed these platforms to get information not linked to diabetes; and the rest, 19%, were not users of social media. Also, the participants used these tools for different purposes; and the most used social media for obtaining diabetes related information were WhatsApp (67%), Twitter (54%) and Snapchat (39%). The principal benefits involved in the utilization of social media were raising awareness about diabetes (78%), improving education among patients (78%), and facilitation of communication between patients and doctors (44%). The respondents pondered that breaching of patient privacy (5%) and dissemination of inaccurate information (30%) were dangers implicated in the use of social media.

CONCLUSION

The outcomes indicated that WhatsApp was the social media most used by the participants to communicate and obtain information about diabetes. According to the participants, social media platforms were useful to improve education, awareness and communication among people with diabetes, family and doctors. However, due to the risks involved in the use of social media, health and educational organizations must work to ensure that the published information is accurate and does not affect the privacy of patients and healthcare providers.

The Role and Value of Ongoing and Peer Support in Diabetes Care and Education

PURPOSE

Increasing attention is being given to the challenges and emotional toll of managing diabetes. This Perspectives in Practice details the specialty's guiding documents for initial and ongoing support. It also defines various types of social support, including peer support, for optimal diabetes care. Focusing on peer support, this paper provides a review of the body of evidence demonstrating the value of peer support to improve clinical and behavioral outcomes. To achieve positive outcomes, it is optimal for people with diabetes to have access to ongoing support from their health care provider, including diabetes care and education specialists. They should also be made aware of, and given referral to options and opportunities for peer support. This Perspectives in Practice concludes with a call to action for diabetes care and education specialists to deliver to integrate and promote the value of peer support in the care they provide.

CONCLUSION

Managing diabetes during the stages and ages of life is chronically challenging and complex. Various types of support offered by health care providers, including diabetes care and education specialists and others in the person's social support milieu, can positively affect emotional well-being. Health care providers should routinely assess their client's social supports and refer the person with diabetes and/or their caregivers to evidence-based types of peer support mutually determined to be of most value. Diabetes care and education specialists should increase their awareness of opportunities to integrate the value of and referral to peer support in their counseling and to gain greater insight into the diabetes-lived experience.

Empowering Diabetes Self-Management Through Technology and Nurse Health Coaching

Purpose

This research explores the impact of mobile health (mHealth) technology and nurse health coaching on views of diabetes self-management (DSM) for persons living with diabetes.

Methods

Three focus groups (N = 24) were conducted with individuals living with type 2 diabetes who participated in a nurse health coaching and mHealth technology intervention study. Qualitative thematic analysis was used to identify overarching themes in each group.

Results

Major themes identified following intervention participation included enhanced perspectives about living with diabetes, increased awareness of how health behaviors influence DSM, improved support, and increased ownership of DSM.

Conclusions

The themes identified suggest that the mHealth technology and health coaching intervention together may have had an empowering effect on participants’ DSM. These results suggest that providing nurse health coaching with mHealth technology may help individuals ameliorate some of the challenges of living with and managing diabetes.

Perceptions of the Diabetes Online Community's Credibility, Social Capital, and Help and Harm: Cross-Sectional Comparison Between Baby Boomers and Younger Adults

Background

The use of online health communities such as the diabetes online community (DOC) is growing. Individuals who engage in the DOC are able to interact with peers who have the same medical condition. It is not known if older adults are perceiving the DOC differently compared with younger adults.

Objective

The purpose of this study was to explore and understand how the DOC is perceived in terms of social capital, source credibility, and help and harm. The findings from this study will shed light on how users of different age groups (baby boomers and younger adult counterparts) perceive DOC use.

Methods

This study represents a subset of participants from a larger study of DOC users. Baby boomers and younger adults with diabetes were recruited from the DOC to participate in a cross-sectional survey. Demographics, electronic health use (reasons to join the DOC, DOC intensity, DOC engagement, internet social capital, and help or harm from the DOC), source credibility, health-related quality of life, and diabetes self-care data were collected. We examined the differences between baby boomer and younger adult responses.

Results

The participants included baby boomers (N=76) and younger adult counterparts (N=102). Participants scored their diabetes health care team (mean 33.5 [SD 8]) significantly higher than the DOC (mean 32 [SD 6.4]) with regard to competence (P<.05) and trustworthiness (diabetes health care team mean 36.3 [SD 7.1]; DOC mean 33.6 [SD 6.2]; P<.001). High bonding and bridging social capital correlated with high DOC intensity (r=.629; P<.001 and r=.676; P<.001, respectively) and high DOC engagement (r=.474; P<.01 and r=.507; P≤.01, respectively). The greater majority (69.8%) reported the DOC as being helpful, and 1.8% reported that the DOC had caused minor harm. Baby boomers perceived DOC credibility, social capital, help, and harm similarly to their younger adult counterparts.

Conclusions

Baby boomers are using and perceiving the DOC similarly to younger adults. DOC users find the DOC to be credible; however, they scored their health care team higher with regard to competence and trustworthiness. The DOC is beneficial with low risk and may augment current diabetes care.