Michelle L. Litchman

Real-Time Continuous Glucose Monitoring Facilitates Feelings of Safety in Older Adults With Type 1 Diabetes: A Qualitative Study:

Background: Older adults with long-standing type 1 diabetes (T1D) have a higher risk for hypoglycemia and hypoglycemia unawareness. Hypoglycemia can be dangerous, even fatal. Real-time continuous glucose monitoring (RT-CGM) effectively supports diabetes management and well-being in adult and pediatric populations. Little is known about older adults and RT-CGM use. The purpose of this study was to identify why RT-CGM was important for diabetes management in individuals with T1D 65 years of age. Methods: A convenience sample of older adults with T1D participated in one of two online surveys about RT-CGM. Categorical data were analyzed using descriptive statistics. A qualitative content analysis was conducted for open-ended responses. Results: Participants (N = 22) included in this study were those using RT-CGM (n = 11) and those who were not using RT-CGM, but desired to do so (n = 11). Those using RT-CGM were less likely to experience severe hypoglycemia (P = .02) or hypoglycemia resulting in a fall or inability to operate a motor vehicle (P = .01) Three major themes were identified: (1) RT-CGM facilitates feelings of safety by preventing hypoglycemia, (2) RT-CGM improves well-being, and (3) access is a barrier to RT-CGM use. Conclusions: RT-CGM improves safety and well-being in older adults with T1D by preventing hypoglycemia and associated injury and worry. Older adults without access to RT-CGM experience more severe hypoglycemia events that negatively affect their safety and well-being. Improving access to RT-CGM in older adults is critical to improving health and safety, and demands more attention from stakeholders in diabetes care.

The diabetes online community: Older adults supporting self-care through peer health

OBJECTIVE The use of the diabetes online community (DOC) is growing across all age groups. The aim of this exploratory study was to describe why older adults participated in the DOC, and how DOC users interacted with their healthcare providers. METHODS Telephone interviews (N=20) were conducted with older adult DOC users (born between 1946 and 1964) living in the United States. Interviews were analyzed using qualitative content analysis adhering to rigor and reproducibility standards. RESULTS Themes that emerged from the data related to DOC participation included: information to improve self-care, emotional support, belonging to a community, validation of information, cause for concern and interaction with healthcare providers. Participants used the DOC for day to day diabetes management advice and healthcare providers for medical information and care. CONCLUSION Participants highly valued the DOC and regarded their participation as a way to increase knowledge to improve self-care and reciprocate emotional support with others for diabetes management. The DOC filled gaps in knowledge and support participants were not able to get elsewhere. PRACTICE IMPLICATIONS The DOC serves as an important source of information and support for individuals with diabetes and may be a cost-effective strategy to augment standard diabetes care.

In-Home Chronic Disease Management in Diabetes A Collaborative Practice Model for Home Health Care and Endocrinology Providers

With the rate of diabetes increasing in the elderly, home health care agencies must creatively approach disease management in this high-risk population. Specialized training programs, standardized policies and procedures, and strategic staffing patterns support agencies to systematically and effectively manage diabetes in the home. Collaboration with endocrinology providers assists agencies to incorporate and appropriately use national standards in diabetes care. Additionally, home health partnership with endocrinology providers will enhance a disease management program with increased provider participation and oversight, improving patient clinical outcomes and serving as a resource for home health agencies managing patients with diabetes.

The 2017 Diabetes Educator and the Diabetes Self-Management Education National Practice Survey:

Purpose The American Association of Diabetes Educators conducts the National Practice Survey (NPS) biennially to document current practice in diabetes education in the United States. The purpose of the study is to obtain insight about factors influencing the work of the diabetes educator. Method The 2017 NPS was comprised of 100 questions covering diabetes educator demographics, profile populations of people with diabetes, practice information, program accreditation, program curriculum, staffing, education delivery methods, data collection, and reporting. The basic survey consisted of 22 questions using branch logic, from which respondents were then directed to questions tailored to their particular practice setting, enabling them to answer only a relevant subset of the remaining questions. The web-based survey was sent to approximately 32 000 individuals who were either members of the American Association of Diabetes Educators (AADE) or Certified Diabetes Educators (CDE) with the National Certification Board for Diabetes Educators (NCBDE) but not AADE members. Weekly reminder e-mails were sent to recipients who had not yet responded. The outreach efforts resulted in the survey being completed by 4696 individuals, a 17% response rate yielding 95% confidence that these responses are within ±5% accuracy. Results Diabetes Self-Management Education and Support (DSMES) continues to be a field dominated by women (95%). Diabetes educators represent a diverse health care profession, with educators indicating most commonly that their primary discipline is nursing (48%), nutrition (38%), and pharmacy (7%). When asked about credentials, 82.6% indicated that they held a CDE, 3.8% held the Board Certified-Advanced Diabetes Management (BC-ADM) credential, and 16.5% held neither the CDE nor the BC-ADM. Nearly 75% characterized their role as a diabetes educator as providing direct patient care. DSMES continued to be provided in a varied array of settings to educationally, socioeconomically, and racially diverse patient populations. DSMES was delivered using a number of different educational strategies. Diabetes educators have direct influence in care and services that people with diabetes receive. Conclusions The results of the 2017 NPS demonstrate that diabetes educators are meeting the needs of varied populations in various practice settings. They are working with individuals with type 1 and type 2 diabetes, those at risk for diabetes, and women with gestational diabetes and are involved in recommending, implementing, and providing key referrals and recommendations for diabetes care, including insulin initiation, titration, medication adjustments, recommendations on devices, and technology. Identified areas for improvement include needs for increased racial and ethnic diversity in the workforce, recruiting young professionals, drawing practice approaches from related disciplines (eg, mental health and disability rehabilitation), and encouraging tracking of more areas of outcomes data. Diabetes educators are playing an increasingly central role within multidisciplinary care teams with people at risk for diabetes, those who have diabetes, and those with other chronic conditions.

Twitter Analysis of #OpenAPS DIY Artificial Pancreas Technology Use Suggests Improved A1C and Quality of Life:

Background: Patient-driven innovation in diabetes management has resulted in a group of people with type 1 diabetes who choose to build and share knowledge around a do-it-yourself (DIY) open source artificial pancreas systems (OpenAPS). The purpose of this study was to examine Twitter data to understand how patients, caregivers, and care partners perceive OpenAPS, the personal and emotional ramifications of using OpenAPS, and the influence of OpenAPS on daily life. Methods: Qualitative netnography was used to analyze #OpenAPS on Twitter over a two-year period. Results: There were 328 patients, caregivers, and care partners who generated 3347 tweets. One overarching theme, OpenAPS changes lives, and five subthemes emerged from the data: (1) OpenAPS use suggests self-reported A1C and glucose variability improvement, (2) OpenAPS improves sense of diabetes burden and quality of life, (3) OpenAPS is perceived as safe, (4) patient/caregiver–provider interaction related to OpenAPS, and (5) technology adaptation for user needs. Conclusions: As users of a patient-driven technology, OpenAPS users are self-reporting improved A1C, day-to-day glucose levels, and quality of life. Safety features important to individuals with diabetes are perceived to be embedded into OpenAPS technology. Twitter analysis provides insight on a patient population driving an innovative solution to improve their quality of diabetes care.

Going where patients are, predicting prediabetes through Facebook postings: A pilot study protocol (Preprint)

Background The field of infodemiology uses health care trends found in public networks, such as social media, to track and quantify the spread of disease. Type 2 diabetes is on the rise worldwide, and social media may be useful in identifying prediabetes through behavior exhibited through social media platforms such as Facebook and thus in designing and administering early interventions and containing further progression of the disease. Objective This pilot study is designed to investigate the social media behavior of individuals with prediabetes, before and after diagnosis. Pre- and postdiagnosis Facebook content (posts) of such individuals will be used to create a taxonomy of prediabetes indicators and to identify themes and factors associated with an actual diagnosis of prediabetes. Methods This is a single-center exploratory retrospective study that examines 20 adults with prediabetes. The investigators will code Facebook posts 3 months before through 3 months after prediabetes diagnosis. Data will be analyzed using both qualitative content analysis methodology as well as quantitative methodology to characterize participants and compare their posts pre- and postdiagnosis. Results The project was funded for 2015-2018, and enrollment will be completed by the end of 2018. Data coding is currently under way and the first results are expected to be submitted for publication in 2019. Results will include both quantitative and qualitative data about participants and the similarities and differences between coded social media posts. Conclusions This pilot study is the first step in creating a taxonomy of social media indicators for prediabetes. Such a taxonomy would provide a tool for researchers and health care professionals to use social media postings for identifying those at greater risk of having prediabetes. International Registered Report Identifier (IRRID) DERR1-10.2196/10720

Diabetes Online Community User Perceptions of Successful Aging With Diabetes: Analysis of a #DSMA Tweet Chat

Background According to the American Diabetes Association, there are approximately 30.3 million Americans with diabetes, and the incidence is growing by nearly 1.5 million cases per year. These individuals are at particularly high risk of developing secondary comorbid conditions related to diabetes and aging. Nearly 45% of individuals aged 65 to 75 years use social media, and this number is steadily growing. The use of social media provides the opportunity to assess the perceptions and needs of this population. Objective The purpose of this study was to examine stakeholder perceptions of successful aging with diabetes. Methods This study presents a retrospective analysis of a tweet chat focused on aging with diabetes. Tweets were collected using Symplur Signals data analytics software (Symplur LLC) and analyzed for content analysis, sentiment, and participant demographics. Two authors reviewed discussion posts for accuracy of analysis. Results A total of 59 individuals participated in this tweet chat generating 494 tweets and nearly 2 million impressions. Most (36/59, 63%) tweet chat participants were people living with diabetes; 25% (14/59) were caregivers and advocates. Seven countries were represented in the conversation. A majority (352/494, 71.3%) of the tweets indicated positive sentiment related to aging with diabetes. Five major themes emerged from the qualitative analysis: (1) personal decline now and in the future, (2) limited access to treatment, (3) inability to provide self-care, (4) health care provider capacity to support aging with diabetes, and (5) life-long online peer health support to facilitate diabetes management. Conclusions Individuals with diabetes are living longer and want to be supported with specialized care and access to technology that will allow them to successfully age. Aging- and diabetes-related changes may complicate diabetes management into old age. People with diabetes desire options including aging in place; therefore, special training for care partners and health care providers who care for older adults is needed.

Health-risk behaviors and type 1 diabetes outcomes in the transition from late adolescence to early emerging adulthood

ABSTRACT This study examined within- and between-person associations between health-risk behaviors (smoking, drinking, insulin withholding) and type 1 diabetes (T1D) outcomes (adherence and HbA1c) during the high-risk transition from late adolescence to early emerging adulthood utilizing a 2-year longitudinal study. Beginning in the senior year of high school, participants (n = 197) with T1D completed measures of health-risk behaviors, adherence, and HbA1c annually at three time points. Health-risk behaviors were associated with poorer diabetes outcomes during the transition from late adolescence to early emerging adulthood. These results highlight the importance of monitoring health-risk behaviors regularly and intervening to reduce health-risk behaviors during this important developmental transition.

Twitter-derived neighborhood characteristics associated with obesity and diabetes

Neighborhood characteristics are increasingly connected with health outcomes. Social processes affect health through the maintenance of social norms, stimulation of new interests, and dispersal of knowledge. We created zip code level indicators of happiness, food, and physical activity culture from geolocated Twitter data to examine the relationship between these neighborhood characteristics and obesity and diabetes diagnoses (Type 1 and Type 2). We collected 422,094 tweets sent from Utah between April 2015 and March 2016. We leveraged administrative and clinical records on 1.86 million individuals aged 20 years and older in Utah in 2015. Individuals living in zip codes with the greatest percentage of happy and physically-active tweets had lower obesity prevalence—accounting for individual age, sex, nonwhite race, Hispanic ethnicity, education, and marital status, as well as zip code population characteristics. More happy tweets and lower caloric density of food tweets in a zip code were associated with lower individual prevalence of diabetes. Results were robust in sibling random effects models that account for family background characteristics shared between siblings. Findings suggest the possible influence of sociocultural factors on individual health. The study demonstrates the utility and cost-effectiveness of utilizing existing big data sources to conduct population health studies.

Using advanced diabetes technologies in patients with dementia in assisted living facilities: Case studies

Abstract Introduction: Older adults with dementia and diabetes are at increased risk of complications, hospitalizations, and adverse events. This vulnerable patient population may have high glucose variability and an increased risk of low and high glucose numbers. Diabetes technology exists, including insulin pumps and continuous glucose monitors, which may be effective in optimally managing blood sugar in this patient population. Case Presentation: We detail two older adults with diabetes living in assisted living facilities. The first case study describes the successful use of an insulin pump in an older adult with type 1 diabetes and dementia. The second case study demonstrates successful use of continuous glucose monitoring in an older adult with type 1 diabetes and dementia. Discussion: These case studies provide initial evidence that insulin pump and continuous glucose monitoring technologies can successfully be used by older adults with dementia and used to assist in diabetes management in an assisted living facility. Clinical Implications: Use of wearable diabetes technology improves the care of patients with diabetes. These case studies demonstrate initial evidence supporting improvement in the care of older adults with diabetes by the use of technology.