Use of systems thinking and adapted group model building methods to understand patterns of technology use among older adults with type 1 diabetes: a preliminary process evaluation.

BACKGROUND: A growing number of older adults (ages 65+) live with Type 1 diabetes. Simultaneously, technologies such as continuous glucose monitoring (CGM) have become standard of care. There is thus a need to understand better the complex dynamics that promote use of CGM (and other care innovations) over time in this age group. Our aim was to adapt methods from systems thinking, specifically a participatory approach to system dynamics modeling called group model building (GMB), to model the complex experiences that may underlie different trajectories of CGM use among this population. Herein, we report on the feasibility, strengths, and limitations of this methodology. METHODS: We conducted a series of GMB workshops and validation interviews to collect data in the form of questionnaires, diagrams, and recordings of group discussion. Data were integrated into a conceptual diagram of the "system" of factors associated with uptake and use of CGM over time. We evaluate the feasibility of each aspect of the study, including the teaching of systems thinking to older adult participants. We collected participant feedback on positive aspects of their experiences and areas for improvement. RESULTS: We completed nine GMB workshops with older adults and their caregivers (N = 33). Each three-hour in-person workshop comprised: (1) questionnaires; (2) the GMB session, including both didactic components and structured activities; and (3) a brief focus group discussion. Within the GMB session, individual drawing activities proved to be the most challenging for participants, while group activities and discussion of relevant dynamics over time for illustrative (i.e., realistic but not real) patients yielded rich engagement and sufficient information for system diagramming. Study participants liked the opportunity to share experiences with peers, learning and enhancing their knowledge, peer support, age-specific discussions, the workshop pace and structure, and the systems thinking framework. Participants gave mixed feedback on the workshop duration. CONCLUSIONS: The study demonstrates preliminary feasibility, acceptability, and the value of GMB for engaging older adults about key determinants of complex health behaviors over time. To our knowledge, few studies have extended participatory systems science methods to older adult stakeholders. Future studies may utilize this methodology to inform novel approaches for supporting health across the lifespan.

Receipt of Diabetes Specialty Care and Management Services by Older Adults With Diabetes in the U.S., 2015-2019: An Analysis of Medicare Fee-for-Service Claims.

OBJECTIVE: We characterized the receipt of diabetes specialty care and management services among older adults with diabetes. RESEARCH DESIGN AND METHODS: Using a 20% random sample of fee-for-service Medicare beneficiaries aged ≥65 years, we analyzed cohorts of type 1 diabetes (T1D) or type 2 diabetes (T2D) with history of severe hypoglycemia (HoH), and all other T2D annually from 2015 to 2019. Outcomes were receipt of office-based endocrinology care, diabetes education, outpatient diabetes health services, excluding those provided in primary care, and any of the aforementioned services. RESULTS: In the T1D cohort, receipt of endocrinology care and any service increased from 25.9% and 29.2% in 2015 to 32.7% and 37.4% in 2019, respectively. In the T2D with HoH cohort, receipt of endocrinology care and any service was 13.9% and 16.4% in 2015, with minimal increases. Age, race/ethnicity, residential setting, and income were associated with receiving care. CONCLUSIONS: These findings suggest that many older adults may not receive specialty diabetes care and underscore health disparities.

A conceptual model of the continuous glucose monitoring integration process for older adults with diabetes developed using participatory systems science methods.

AIMS: Continuous glucose monitoring (CGM) use remains low in older adults. We aimed to develop a conceptual model of CGM integration among older adults with type 1 and type 2 diabetes. METHODS: We previously engaged older adults with type 1 diabetes using participatory system science methods to develop a model of the system of factors that shape CGM integration. To validate and expand the model, we conducted semi-structured interviews with 17 older adults with type 1 and type 2 diabetes and 3 caregivers. Vignettes representing each integration phase were used to elicit outcomes and strategies to support CGM use. Data were analyzed using team-based causal loop diagraming. RESULTS: The model includes six phases spanning (1) CGM uptake; (2) device set-up; acquisition of (3) belief in oneself to use CGM effectively; (4) belief that CGM is preferable to blood glucose monitoring; (5) belief in future CGM benefits CGM; and (6) development of a sense of reliance on CGM. Causal loop diagrams visualize factors and feedback loops shaping outcomes at each phase. Participants proposed support strategies spanning clinical, educational, and behavioral interventions. CONCLUSIONS: The model underscores the complex transition of learning new technology and provides opportunities for tailored support for older adults.

Supporting the 'lived expertise' of older adults with type 1 diabetes: An applied focus group analysis to characterize barriers, facilitators, and strategies for self-management in a growing and understudied population.

INTRODUCTION: There is a growing number of older adults (≥65 years) who live with type 1 diabetes. We qualitatively explored experiences and perspectives regarding type 1 diabetes self-management and treatment decisions among older adults, focusing on adopting care advances such as continuous glucose monitoring (CGM). METHODS: Among a clinic-based sample of older adults ≥65 years with type 1 diabetes, we conducted a series of literature and expert informed focus groups with structured discussion activities. Groups were transcribed followed by inductive coding, theme identification, and inference verification. Medical records and surveys added clinical information. RESULTS: Twenty nine older adults (age 73.4 ± 4.5 years; 86% CGM users) and four caregivers (age 73.3 ± 2.9 years) participated. Participants were 58% female and 82% non-Hispanic White. Analysis revealed themes related to attitudes, behaviours, and experiences, as well as interpersonal and contextual factors that shape self-management and outcomes. These factors and their interactions drive variability in diabetes outcomes and optimal treatment strategies between individuals as well as within individuals over time (i.e. with ageing). Participants proposed strategies to address these factors: regular, holistic needs assessments to match people with effective self-care approaches and adapt them over the lifespan; longitudinal support (e.g., education, tactical help, sharing and validating experiences); tailored education and skills training; and leveraging of caregivers, family, and peers as resources. CONCLUSIONS: Our study of what influences self-management decisions and technology adoption among older adults with type 1 diabetes underscores the importance of ongoing assessments to address dynamic age-specific needs, as well as individualized multi-faceted support that integrates peers and caregivers.

A Cost Analysis of Rethink the Strip: De-implementing a Low-value Practice in Primary Care.

BACKGROUND: Routine self-monitoring of blood glucose is a low-value practice that provides limited benefit for patients with non-insulin-treated type 2 diabetes mellitus. OBJECTIVES: We estimated the costs of Rethink the Strip (RTS), a multistrategy approach to the de-implementation of self-monitoring of blood glucose in primary care. RESEARCH DESIGN: RTS was conducted among 20 primary care clinics in North Carolina. We estimated the non-site-based and site-based costs of the 5 RTS strategies (practice facilitation, audit and feedback, provider champions, educational meetings, and educational materials) from the analytic perspective of an integrated health care system for 12 and 27-month time horizons. Material costs were tracked through project records, and personnel costs were assessed using activity-based costing. We used nationally based wage estimates. RESULTS: Total RTS costs equaled $68,941 for 12 months. Specifically, non-site-based costs comprised $16,560. Most non-site-based costs ($11,822) were from the foundational programming and coding updates to the electronic health record data to develop the audit and feedback reports. The non-site-based costs of educational meetings, practice facilitation, and educational materials were substantially lower, ranging between ~$400 and $1000. Total 12-month site-based costs equaled $2569 for a single clinic (or $52,381 for 20 clinics). Educational meetings were the most expensive strategy, averaging $1401 per clinic. The site-based costs for the 4 other implementation strategies were markedly lower, ranging between $51 for educational materials and $555 for practice facilitation per clinic. CONCLUSIONS: This study provides detailed cost information for implementation strategies used to support evidence-based programs in primary care clinics.

Growth Factors Released from Advanced Platelet-Rich Fibrin in the Presence of Calcium-Based Silicate Materials and Their Impact on the Viability and Migration of Stem Cells of Apical Papilla.

Advanced platelet-rich fibrin (A-PRF) provides the scaffold and growth factors necessary for stem cells to proliferate and differentiate in successful regenerative endodontic procedures. This study investigates the release of transforming growth factor-ß1 (TGF-ß1), platelet-derived growth factor (PDGF), and vascular endothelial growth factor (VEGF) from A-PRF in cell culture media in the presence and absence of mineral trioxide aggregate (MTA) or Biodentine. Additionally, this research assesses the viability and migration of stem cells of the apical papilla (SCAP) in previously conditioned media. A-PRF obtained from 14 participants were incubated for 7 days in cell culture media alone or via layering with MTA or Biodentine discs and the release of selected growth factors in the media was evaluated using ELISA. The viability of SCAP grown in conditioned media was measured using the CCK8 assay, while SCAP migration was assessed via a transwell assay by counting migrated cells. The release of TGF-ß1, PDGF, and VEGF was significantly higher in media with A-PRF alone than in the presence of either calcium-based silicate material (p < 0.05), which showed no difference from the no-A-PRF control (p < 0.05). None of the tested growth factors released in the A-PRF-conditioned media correlated with clot weight. A-PRF-conditioned media, both with and without calcium-based silicate materials, did not impact SCAP viability and migration (p > 0.05). This study shows that SCAP behavior is not impacted by the decrease in growth factor released in the presence of calcium-based silicate materials and that their role in REPs warrants further investigation.

Estimation of a Machine Learning-Based Decision Rule to Reduce Hypoglycemia Among Older Adults With Type 1 Diabetes: A Post Hoc Analysis of Continuous Glucose Monitoring in the WISDM Study.

BACKGROUND: The Wireless Innovation for Seniors with Diabetes Mellitus (WISDM) study demonstrated continuous glucose monitoring (CGM) reduced hypoglycemia over 6 months among older adults with type 1 diabetes (T1D) compared with blood glucose monitoring (BGM). We explored heterogeneous treatment effects of CGM on hypoglycemia by formulating a data-driven decision rule that selects an intervention (ie, CGM vs BGM) to minimize percentage of time <70 mg/dL for each individual WISDM participant. METHOD: The precision medicine analyses used data from participants with complete data (n = 194 older adults, including those who received CGM [n = 100] and BGM [n = 94] in the trial). Policy tree and decision list algorithms were fit with 14 baseline demographic, clinical, and laboratory measures. The primary outcome was CGM-measured percentage of time spent in hypoglycemic range (<70 mg/dL), and the decision rule assigned participants to a subgroup reflecting the treatment estimated to minimize this outcome across all follow-up visits. RESULTS: The optimal decision rule was found to be a decision list with 3 steps. The first step moved WISDM participants with baseline time-below range >1.35% and no detectable C-peptide levels to the CGM subgroup (n = 139), and the second step moved WISDM participants with a baseline time-below range of >6.45% to the CGM subgroup (n = 18). The remaining participants (n = 37) were left in the BGM subgroup. Compared with the BGM subgroup (n = 37; 19%), the group for whom CGM minimized hypoglycemia (n = 157; 81%) had more baseline hypoglycemia, a lower proportion of detectable C-peptide, higher glycemic variability, longer disease duration, and higher proportion of insulin pump use. CONCLUSIONS: The decision rule underscores the benefits of CGM for older adults to reduce hypoglycemia. Diagnostic CGM and laboratory markers may inform decision-making surrounding therapeutic CGM and identify older adults for whom CGM may be a critical intervention to reduce hypoglycemia.

"Nothing is linear": Characterizing the determinants and dynamics of CGM use in older adults with type 1 diabetes.

AIMS: Continuous glucose monitoring (CGM) can reduce hypoglycemia in older adults with type 1 diabetes (T1D). We aimed to characterize factors that influence effective use in this age group. METHODS: Older adults with type T1D (age ≥ 65) and their caregivers participated in one of a series of parallel group model building workshops, a participatory approach to system dynamics involving drawing and scripted group activities. Data were synthesized in a qualitative model of the hypothesized system of factors producing distinct patterns of CGM use in older adults. The model was validated through virtual follow-up interviews. RESULTS: Data were collected from 33 participants (four patient-caregiver dyads, mean age 73.8 ± 4.4 years [range 66-85 years]; 16 % non-CGM users, 79 % pump users). The system model delineates drivers of CGM uptake, drivers of ongoing CGM use, and feedback loops that either reinforce or counteract future CGM use. Participants emphasized the importance of different sets of feedback loops at different points in the duration of CGM use. CONCLUSIONS: The holistic system model underscores that factors and feedback loops driving effective CGM use in older adults are both individualized and dynamic (e.g., changing over time), suggesting opportunities for staged and tailored age-specific education and support.

A Co-Association of Streptococcus mutans and Veillonella parvula/dispar in Root Caries Patients and In Vitro Biofilms.

Root caries in geriatric patients is a growing problem as more people are maintaining their natural teeth into advanced age. We determined the levels of various bacterial species previously implicated in root caries disease or health using quantitative real-time PCR in a pilot study of 7 patients with 1 to 4 root caries lesions per person. Levels of 12 different species on diseased roots compared to healthy (contralateral control) roots were measured. Four species were found at significantly higher levels on diseased roots (Streptococcus mutans, Veillonella parvula/dispar, Actinomyces naeslundii/viscosus, and Capnocytophaga granulosa) compared across all plaque samples. The level of colonization by these species varied dramatically (up to 1,000-fold) between patients, indicating different patients have different bacteria contributing to root caries disease. Neither of the two species previously reported to correlate with healthy roots (C. granulosa and Delftia acidovorans) showed statistically significant protective roles in our population, although D. acidovorans showed a trend toward higher levels on healthy teeth (P = 0.08). There was a significant positive correlation between higher levels of S. mutans and V. parvula/dispar on the same diseased teeth. In vitro mixed biofilm studies demonstrated that co-culturing S. mutans and V. parvula leads to a 50 to 150% increase in sucrose-dependent biofilm mass compared to S. mutans alone, depending on the growth conditions, while V. parvula alone did not form in vitro biofilms. The presence of V. parvula also decreased the acidification of S. mutans biofilms when grown in artificial saliva and enhanced the health of mixed biofilms.

When Less Is More: Identifying Patients With Type 2 Diabetes Engaging in Unnecessary Blood Glucose Monitoring.

This study examined whether certain patient characteristics are associated with the prescribing of self-monitoring of blood glucose for patients with type 2 diabetes who are not using insulin and have well-controlled blood glucose. Against recommendations, one-third of the patient sample from a large health network in North Carolina (N = 9,338) received a prescription for testing supplies (i.e., strips or lancets) within the prior 18 months. Women, African Americans, individuals prescribed an oral medication, nonsmokers, and those who were underweight or normal weight all had greater odds of receiving such a prescription. These results indicate that providers may have prescribing tendencies that are potentially biased against more vulnerable patient groups and contrary to guidelines.

Development and validation of the self-management Barriers and Supports Evaluation for working-aged adults with type 1 diabetes mellitus.

INTRODUCTION: To optimize type 1 diabetes mellitus self-management, experts recommend a person-centered approach, in which care is tailored to meet people's needs and preferences. Existing tools for tailoring type 1 diabetes mellitus education and support are limited by narrow focus, lack of strong association with meaningful outcomes like A1c, or having been developed before widespread use of modern diabetes technology. To facilitate comprehensive, effective tailoring for today's working-aged adults with type 1 diabetes mellitus, we developed and validated the Barriers and Supports Evaluation (BASES). RESEARCH DESIGN AND METHODS: Participants 25-64 years of age with type 1 diabetes mellitus were recruited from clinics and a population-based registry. Content analysis of semistructured interviews (n=33) yielded a pool of 136 items, further refined to 70 candidate items on a 5-point Likert scale through cognitive interviewing and piloting. To develop and validate the tool, factor analyses were applied to responses to candidate items (n=392). Additional survey data included demographics and the Diabetes-Specific Quality of Life (QOL) Scale-Revised. To evaluate concurrent validity, hemoglobin A1c (HbA1c) values and QOL scores were regressed on domain scores. RESULTS: Factor analyses yielded 5 domains encompassing 30 items: Learning Opportunities, Costs and Insurance, Family and Friends, Coping and Behavioral Skills, and Diabetes Provider Interactions. Models exhibited good to adequate fit (Comparative Fit Index >0.88 and Root Mean Squared Error of Approximation <0.06). All domains demonstrated significant associations with HbA1c and QOL in the expected direction, except Family and Friends. Coping and Behavioral Skills had the strongest associations with both HbA1c and QOL. CONCLUSIONS: The BASES is a valid, comprehensive, person-centered tool that can tailor diabetes support and education to individuals' needs in a modern practice environment, improving effectiveness and uptake of services. Clinicians could use the tool to uncover patient-specific barriers that limit success in achieving HbA1c goals and optimal QOL.

High Prevalence of Diabetes Mellitus and Mental Illness Among Victims of Sudden Death.

OBJECTIVES: Diabetes mellitus (DM) increases the risk of cardiovascular disease and is associated with sudden death. Mental illness among individuals with DM may confound medical care. This study assessed the association of mental illness with DM and poorly controlled DM in sudden death victims. METHODS: We screened out-of-hospital deaths ages 18 to 64 years in Wake County, North Carolina from 2013 to 2015 to adjudicate sudden deaths. We abstracted demographics and clinical characteristics from health records. Mental illness included anxiety, schizophrenia, bipolar disorder, or depression. Poorly controlled DM was defined as a hemoglobin A1c >8 or taking ≥3 medications for glycemic control. Logistic regression assessed the association between DM and mental illness. RESULTS: Among victims with available records, 109 (29.4%) had DM. Of those, 62 (56.9%) had mental illness. Mental illness was present in 53.42% and 63.89% of victims with mild and poorly controlled DM, respectively. Mental illness was associated with DM (adjusted odds ratio 2.46, 95% confidence interval 1.57-3.91). Victims with poorly controlled DM were more likely to have mental illness (adjusted odds ratio 2.66, 95% confidence interval 1.14-6.18). CONCLUSIONS: DM is a common comorbid condition in sudden death victims. Among victims, mental illness is associated with the control of DM. Early management of comorbid mental illnesses may improve the care of patients with DM and reduce the incidence of sudden death.

Hypoglycemia and Glycemic Control in Older Adults With Type 1 Diabetes: Baseline Results From the WISDM Study.

BACKGROUND: Knowledge regarding the burden and predictors of hypoglycemia among older adults with type 1 diabetes (T1D) is limited. METHODS: We analyzed baseline data from the Wireless Innovations for Seniors with Diabetes Mellitus (WISDM) study, which enrolled participants at 22 sites in the United States. Eligibility included clinical diagnosis of T1D, age ≥60 years, no real-time continuous glucose monitoring (CGM) use in prior three months, and HbA1c <10.0%. Blinded CGM data from 203 participants with at least 240 hours were included in the analyses. RESULTS: Median age of the cohort was 68 years (52% female, 93% non-Hispanic white, and 53% used insulin pumps). Mean HbA1c was 7.5%. Median time spent in the glucose range <70 mg/dL was 5.0% (72 min/day) and <54 mg/dL was 1.6% (24 min/day). Among all factors analyzed, only reduced hypoglycemia awareness was associated with greater time spent <54 mg/dL (median time of 2.7% vs 1.3% [39 vs 19 minutes per day] for reduced awareness vs aware/uncertain, respectively, P = .03). Participants spent a mean 56% of total time in target glucose range of 70-180 mg/dL and 37% of time above 180 mg/dL. CONCLUSIONS: Over half of older T1D participants spent at least an hour a day with glucose levels <70 mg/dL. Those with reduced hypoglycemia awareness spent over twice as much time than those without in a serious hypoglycemia range (glucose levels <54 mg/dL). Interventions to reduce exposure to clinically significant hypoglycemia and increase time in range are urgently needed in this age group.

Assessment of third-year medical students' comfort and preparedness for navigating challenging clinical scenarios with patients, peers, and supervisors.

BACKGROUND: Medical training focuses heavily on clinical skills but lacks in training for navigating challenging clinical scenarios especially with regard to diversity issues. Our objective was to assess third-year medical students' preparedness to navigate such scenarios. METHODS: A 24-item survey was administered electronically to third-year medical students describing a range of specific interactions with patients, peers, and "upper-levels" or superiors including residents and attendings, spanning subjects including gender, race/ethnicity, politics, age, sexual orientation/identity, disability, and religion. Students rated their level of comfort via a 5-point Likert scale ranging from 1 ("Very Uncomfortable") to 5 ("Very Comfortable"). Basic demographics were collected and data were summarized for trends. RESULTS: Data were analyzed from 120 students (67% response rate, 54.2% female, 60.8% non-Hispanic white). Students reported lower comfort with peer and superiors compared to patient interactions (p < 0.0001). Students reported the highest comfort with sexual orientation/identity- and religion-related interactions (median (IQR): 3.3 (1.3) and 3.4 (10.0), respectively) and the lowest comfort with gender-, race/ethnicity-, and disability- related interactions (median (IQR): 2.3 (1.3), 2.0 (1.0), 2.5 (1.5), respectively). Males reported significantly higher median comfort levels for scenarios with upper-level, gender, and religion related interactions. Males were more likely to be completely comfortable versus females across the 24 scenarios, although multiple male response patterns showed evidence of a bimodal distribution. CONCLUSIONS: Third-year medical students report generally inadequate comfort with navigating complex clinical scenarios, particularly with peers and supervisors and relating to gender-, race/ethnicity-, and disability-specific conflicts. There are differences across gender with regards to median comfort and distribution of scores suggesting that there is a subgroup of males report high/very high comfort with challenging clinical scenarios. Students may benefit from enhanced training modules and personalized toolkits for navigating these scenarios.

Characteristics and Delivery of Diabetes Shared Medical Appointments in North Carolina.

BACKGROUND Successful diabetes care requires patient engagement and health self-management. Diabetes shared medical appointments (SMAs) are an evidence-based approach that enables peer support, diabetes group education, and medication management to improve outcomes. The purpose of this study is to learn how diabetes SMAs are being delivered in North Carolina, including the characteristics of diabetes SMAs across the state.METHOD Twelve health systems in the state of North Carolina were contacted to explore clinical workflow and intervention characteristics with a member of the SMA care delivery team. Surveys were used to assess intervention characteristics and delivery.RESULTS Diabetes SMAs were offered in 10 clinics in 5 of the 12 health systems contacted with considerable heterogeneity across sites. The majority of SMAs were open cohorts (80%), offered monthly (60%) for 1.5 hours (60%). SMAs included a mean of 7.5 ± 3.4 patients with a maximum of 11.2 ± 2.7 patients. Survey data revealed barriers (cost-sharing and provider buy-in) to, and facilitators (leadership support and clinical champions) of, clinical adoption and sustained implementation.LIMITATIONS External validity is limited due to the small sample size and geographic clustering.CONCLUSION There is significant heterogeneity in the delivery and characteristics of diabetes SMAs in North Carolina with only modest uptake across the health systems. Further research to determine best practices and effectiveness in diverse, real-world clinical settings is required to inform implementation and dissemination efforts.

Application of a Flow-Based Hollow-Fiber Co-Culture System to Study Cellular Influences under Hyperglycemic Conditions.

Elucidation of the basic mechanisms underlying human disease pathogenesis depends on the findings afforded to us through in vivo and in vitro approaches. While there are inherent limitations in any model system, 2D in vitro culture systems tend to be particularly restricted due to their static nature. Here, we adapted a flow-based hollow-fiber cartridge system to better understand the cellular influences of human retinal microvascular endothelial cells and mouse-derived neutrophils under high glucose conditions similar to those observed in diabetes. Analyses by western blot and flow cytometry indicate that pro-inflammatory molecules known to be associated with the pathogenesis of diabetic retinopathy were significantly elevated following high glucose exposure, including VEGF, ICAM-1, and ROS. Changes in mitochondrial potential were also observed. Further, we demonstrate that this innovative system allows for cross-species co-culture as well as long-term culturing conditions. This in vitro modeling system not only mimics the retinal microvasculature, it also allows for the examination of cellular interactions and mechanisms that contribute to diabetic retinopathy, a visually debilitating complication of diabetes.

Health Literacy, Glycemic Control, and Physician-Advised Glucose Self-Monitoring Use in Type 2 Diabetes.

OBJECTIVE: To measure the association between health literacy and both patient-reported and clinical outcomes in patients with non-insulin-treated type 2 diabetes. RESEARCH DESIGN AND METHODS: We surveyed patients with non-insulin-treated type 2 diabetes (n = 448) from 15 primary care practices. The association between health literacy and patient-reported and clinical outcomes, including numeracy of self-monitoring of blood glucose (SMBG) use, how often physicians advised patients to conduct SMBG testing, and glycemic control (as measured by A1C), was investigated. RESULTS: Study participants included 448 patients with non-insulin-treated type 2 diabetes located within central North Carolina. Participants with limited health literacy had poorer glycemic control (A1C 7.7 ± 1.1% vs. 7.5 ± 1.0%, P = 0.016) despite using SMBG testing more frequently (daily SMBG testing 49.3 vs. 30.7%, P = 0.001) compared to individuals with adequate health literacy. The difference in how often physicians advised patients to conduct SMBG testing between limited and adequate health literacy groups was not significant (P = 0.68). CONCLUSION: Limited health literacy was associated with poorer glycemic control and an increased frequency of SMBG testing in patients with non-insulin-treated type 2 diabetes. There was no significant difference in how often physicians advised patients to conduct SMBG testing between patients with limited and adequate health literacy.

How is neighborhood social disorganization associated with diabetes outcomes? A multilevel investigation of glycemic control and self-reported use of acute or emergency health care services.

BACKGROUND: Diabetes management is influenced by a number of factors beyond the individual-level. This study examined how neighborhood social disorganization (i.e., neighborhoods characterized by high economic disadvantage, residential instability, and ethnic heterogeneity), is associated with diabetes-related outcomes. METHODS: We used a multilevel modeling approach to investigate the associations between census-tract neighborhood social disorganization, A1c, and self-reported use of acute or emergency health care services for a sample of 424 adults with type 2 diabetes. RESULTS: Individuals living in neighborhoods with high social disorganization had higher A1c values than individuals living in neighborhoods with medium social disorganization (B = 0.39, p = 0.01). Individuals living in neighborhoods with high economic disadvantage had higher self-reported use of acute or emergency health care services than individuals living in neighborhoods with medium economic disadvantage (B = 0.60, p = 0.02). CONCLUSIONS: High neighborhood social disorganization was associated with higher A1c values and high neighborhood economic disadvantage was associated with greater self-reported use of acute or emergency health care services. Controlling for individual level variables diminished this effect for A1c, but not acute or emergency health care use. Comprehensive approaches to diabetes management should include attention to neighborhood context. Failure to do so may help explain the continuing disproportionate diabetes burden in many neighborhoods despite decades of attention to individual-level clinical care and education. TRIAL REGISTRATION: For this study, we used baseline data from a larger study investigating the impacts on patient-centered outcomes of three different approaches to self-monitoring of blood glucose among 450 adults with non-insulin dependent type 2 diabetes living in North Carolina. This study was registered as a clinical trial on 1/7/2014 (https://clinicaltrials.gov/ct2/show/NCT02033499).

Implementation and Evaluation of Shared Medical Appointments for Type 2 Diabetes at a Free, Student-Run Clinic in Alamance County, North Carolina.

INTRODUCTION: Type 2 diabetes is a significant problem among uninsured patients. Shared medical appointments (SMA) have been shown to improve outcomes in type 2 diabetes. We hypothesized that the SMA model could be adapted for a non-profit clinic in North Carolina that serves uninsured patients with diabetes that have incomes at/below 150% of the federal poverty line. RESEARCH DESIGN AND METHODS: We implemented and sustained a patient-driven, student-led SMA model that incorporated the monthly rotations of students, physician assistant, and undergraduate students as well as pharmacy residents and an endocrinologist who collectively provide diabetes care at the free clinic. SMA groups are 'open' cohorts and include 4-12 patients scheduled for the monthly clinic. Teams of transdisciplinary trainees work together to perform triage, medication reconciliation, brief history, and physical exam, after which patients participate in the SMA. The endocrinologist evaluates SMA patients individually during and after the visit. RESULTS: Between November 2015 and January 2017, we enrolled 29 patients in SMA. There was high variability in HbA1c at baseline. Among eight type 2 diabetes patients seen in endocrine clinic and with complete data one year before and after SMA implementation, the mean (SD) HbA1c before SMA was 9.7% ± 1.7% (83±7 mmol/ mol); mean HbA1c after SMA was 9.2% ± 1.8% (77 ± 8mmol/mol). The median HbA1c before SMA was 9.5% (80 mmol/mol); median HbA1c after SMA was 8.9% (74 mmol/mol). Overall, 6/8 patients showed decreased HbA1c after SMA although there was variability between individuals in response of glycemic control to SMA. SMA increased clinic efficiency and offered an opportunity to integrate transdisciplinary trainees. Trainees gain experience with novel models of care and the complexities of the patient experience of diabetes. CONCLUSIONS: We hope this observation encourages others to implement such programs to enhance the evidence-base for SMA to address health disparities and increase the quality of free diabetes care.