Consensus Recommendations for the Use of Automated Insulin Delivery (AID) Technologies in Clinical Practice

International audienceThe significant and growing global prevalence of diabetes continues to challenge people with diabetes (PwD), healthcare providers and payers. While maintaining near-normal glucose levels has been shown to prevent or delay the progression of the long-term complications of diabetes, a significant proportion of PwD are not attaining their glycemic goals. During the past six years, we have seen tremendous advances in automated insulin delivery (AID) technologies. Numerous randomized controlled trials and real-world studies have shown that the use of AID systems is safe and effective in helping PwD achieve their long-term glycemic goals while reducing hypoglycemia risk. Thus, AID systems have recently become an integral part of diabetes management. However, recommendations for using AID systems in clinical settings have been lacking. Such guided recommendations are critical for AID success and acceptance. All clinicians working with PwD need to become familiar with the available systems in order to eliminate disparities in diabetes quality of care. This report provides much-needed guidance for clinicians who are interested in utilizing AIDs and presents a comprehensive listing of the evidence payers should consider when determining eligibility criteria for AID insurance coverage

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

Determining the Perception and Willingness of Primary Care Providers to Prescribe Advanced Diabetes Technologies

Advanced diabetes technologies have produced increasingly favorable outcomes compared to older treatments. Disparities in practice resources have led to a treatment disparity by clinical setting, where endocrinologists typically prescribe far more such technologies than primary care providers (PCPs). Fully automated artificial pancreas systems (APS), which combine technologies to deliver and adjust insulin dosing continuously in response to automatic and continuous glucose monitoring, may be more straightforward for PCPs to prescribe and manage, therefore extending their benefit to more patients. We aimed to assess willingness of PCPs to prescribe advanced diabetes technologies through a cross-sectional survey of PCPs from 4 geographically diverse centers. While respondents were uncomfortable initiating (63 of 72, 88%) or adjusting (64 of 72, 89%) traditional insulin pumps, their views on APS were quite different: 71 of 76 (93%) saw advantages to prescribing APS by PCPs rather than only endocrinologists. Most would consider prescribing APS for type 1 diabetes (58 of 76, 76%) and type 2 diabetes (52 of 76, 68%). No differences were seen among attendings, residents, or nurse practitioners. APS were much more acceptable than traditional insulin pumps among this primary care sample. If successful, primary care management of closed-loop APS would greatly increase access to such therapies and reduce disparities among those patients who face more difficulty accessing subspecialty care than they do primary care

Using Social Media to Broaden Understanding of the Barriers and Facilitators to Exercise in Adults With Type 1 Diabetes.

BACKGROUND: Many people with type 1 diabetes (T1D) do not achieve levels of exercise recommended by the American Diabetes Association, often due to unique barriers, including fear of hypoglycemia. This study aimed to broaden the understanding of barriers and facilitators to exercise among adults with T1D by exploring social media-specifically T1D-themed blogs-in addition to more traditional interviews and journals. METHODS: Data sources included exercise-focused T1D blog posts (n = 67) and associated comments (n = 717), as well as interviews of and journals kept by adults with T1D (n = 10). Data were analyzed using a qualitative inductive thematic approach. Shared and unique themes were identified among the three data sources. Content mapping illustrates these relationships and interplay. RESULTS: Three metathemes were identified: (1) exercise with T1D requires significant planning, (2) hypoglycemia often interrupts or causes alteration to exercise, and (3) ordinary activities can cause greater insulin sensitivity and hypoglycemia, much like planned exercise, but are often unrecognized as exercise. Unique themes found only in the blogs, only in interviews, or only in journals are also reported. CONCLUSIONS: Social media such as blogs can be a valuable addition to qualitative research, especially when combined with other sources of data. This study suggests a need for providing adults with T1D with more instruction on preventing hypoglycemia during exercise, as well as links to organized or online activities that can provide support and education. Health care providers may wish to consider strategies to help adults with T1D recognize glycemic impact from daily activities not typically recognized as exercise

A Team-Based Training for Continuous Glucose Monitoring in Diabetes Care: Mixed Methods Pilot Implementation Study in Primary Care Practices

BackgroundThe American Academy of Family Physicians (AAFP) develops and maintains continuing medical education that is relevant to modern primary care practices. One continuing medical education modality is AAFP TIPS, which are comprised of resources designed for family medicine physicians and their care teams that aid in quick and accessible practice improvement strategies, with actionable steps. Evaluating physicians’ use of and satisfaction with this modality’s content and implementation strategies has not been prioritized previously. Continuous glucose monitoring (CGM) plays an increasing role in the treatment of diabetes; uptake occurs more rapidly in endocrinology settings than in primary care settings. To help address such differences in CGM uptake and diabetes care, AAFP TIPS on Continuous Glucose Monitoring (AAFP TIPS CGM) was developed, using published evidence and input from content experts (family medicine faculty; AAFP staff; and an advisory group comprised of other primary care physicians, patients, a pharmacist, and a primary care practice facilitator). A pilot implementation project was conducted in 3 primary care practices. ObjectiveTo evaluate AAFP TIPS CGM in primary care practices, the research team assessed use of and satisfaction with the content and assessed barriers to and facilitators for strategy and workflow implementation. MethodsIn total, 3 primary care practices participated in a mixed methods pilot implementation of AAFP TIPS CGM between June and October 2021. Practice champions at each site completed AAFP TIPS CGM and baseline practice surveys to evaluate practice characteristics and CGM prescribing. They conducted team trainings (via webinars or in person), with the goals of implementing CGM into practice and establishing or improving CGM workflows. Practice champions and team training participants completed posttraining surveys to evaluate the training, AAFP TIPS materials, and likelihood of implementing CGM. Interviews were conducted with 6 physicians, including practice champions, 2 months after team training. Satisfaction surveys were also distributed to those who completed the AAFP TIPS CGM course via the internet during the study period. ResultsOf the 3 practices, 2 conducted team trainings. The team training evaluation survey showed that practice staff understood their role in implementing CGM in practice (19/20, 95%), and most (11/20, 55%) did not have questions after the training. Insurance coverage for CGM was a remaining knowledge gap and potential barrier to implementing CGM in practice. Physicians and interdisciplinary care team members who took the AAFP TIPS CGM course via the internet, as well as those who attended in-person team training, expressed a high degree of satisfaction with the education, content, and applicability of the course. ConclusionsThis pilot implementation of AAFP TIPS CGM offers pertinent and timely information for primary care practices that desire to initiate or expand CGM use to best meet the needs of their patients with diabetes

Loneliness in Primary Care Patients: Relationships With Body Mass Index and Health Care Utilization

Purpose: Rates of loneliness and obesity have increased in recent decades. Loneliness and obesity independently have been found to be risk factors for negative physical and mental health outcomes. This study examined the rates and interrelationships of loneliness, body mass index (BMI), and health care utilization in a primary care setting. Methods: A cross-sectional survey of adult patients presenting for outpatient care at 7 family medicine clinical practices in Pennsylvania was conducted. Survey questions included self-reported measures of loneliness, height/weight, number of health care visits, and potential confounders (eg, sociodemographic variables, health status). Bivariate and multivariable linear regression models were used to analyze associations among loneliness, BMI, and health care utilization. Results: In all, 464 eligible patients returned surveys for an overall response rate of 26%. Mean (standard deviation) loneliness score was 4.2 (1.7), mean BMI was 30.4 (7.6), and mean number of visits in year prior was 2.7 (3.6). On bivariate analysis, BMI was positively associated with loneliness (effect estimate: 0.50; P = 0.03). On multivariable analysis, BMI was negatively associated with attending religious services and self-reported physical health and positively associated with self-reported mental health (P \u3c 0.05 for all), but not associated with loneliness. While not associated with loneliness, health care utilization was negatively associated with Hispanic ethnicity, marital status, and self-reported physical health (P \u3c 0.05 for all). Conclusions: Given the detrimental effects loneliness and obesity have on health outcomes, it might be prudent for health care providers to prioritize health concerns for their patients by assessing loneliness and counseling regarding associated risks, particularly in patients with obesity

GoFundMe as a Medical Plan: Ecological Study of Crowdfunding Insulin Success

BackgroundIndividuals in need of medical care turn to crowdfunding websites to engage a “crowd” or group for financial support. In the last decade, access to insulin has decreased considerably for several reasons, including the rising cost of insulin, increasing popularity of high-deductible insurance plans, and increasing insurance premiums. Many people with diabetes are forced to ration or go without insulin, and they turn to crowdfunding websites to seek financial donations to purchase insulin needed to reduce health risks and mortality, and sustain quality of life.  ObjectiveThis study aimed to explore crowdfunding campaign requests to purchase insulin in the United States. MethodsIn this retrospective, quantitative, and qualitative study, we coded the text of GoFundMe online crowdfunding campaigns and viral measures (shares, hearts, and comments) from February 25 to April 15, 2019. We described campaigns (N=205) and explored the factors associated with campaign success using correlations and qualitative thematic analysis. ResultsThe majority of campaigns were initiated by middle-aged adults (age 26-64 years; 77/205, 37.6%), those with type 1 diabetes (94/205, 45.9%), and those needing funds owing to insurance coverage issues (125/205, 61.0%). The factors associated with campaign success included requests for ≤US $500 (P=.007) and higher viral measures (shares, P=.007; hearts, P<.001; comments, P=.002). The following 4 themes emerged from the campaign text: (1) desire for self-management and survival, (2) diabetes management untenable given insulin access, (3) aftermath of insulin unaffordability, and (4) privacy issues with crowdfunding. Campaign comments were both supportive (tangible, informational, and emotional) and unsupportive (questioned the need for the campaign and deemed crowdfunding inappropriate). ConclusionsDespite crowdfunding websites being used to support the purchase of insulin, campaigns raised only a fraction of the money requested. Therefore, GoFundMe campaigns are not a reliable solution to obtain funds for insulin in the United States. Applying quantitative and qualitative methods is adequate to analyze online crowdfunding for costs of medications such as insulin. However, it is critical for people with diabetes to use resources other than online crowdfunding to access and obtain insulin owing to low success rates. Clinicians should routinely assess difficulty accessing or affording insulin, and federal health care policies should support lowering the cost of insulin

A Systematic Scoping Review of How Healthcare Organizations Are Facilitating Access to Fruits and Vegetables in Their Patient Populations

BACKGROUND: There is compelling evidence on the impact of diet as preventative medicine, and with rising health care costs healthcare organizations are attempting to identify interventions to improve patient health outcomes. OBJECTIVES: The purpose of this systematic scoping review was to characterize existing healthcare organization-based interventions to improve access to fruits and vegetables (F&V) for their patient populations. In addition, we aimed to review the impact of identified interventions on dietary intake and health outcomes. METHODS: Titles and abstracts were searched in PubMed® (MEDLINE®), Embase®, CINAHL®, and the Cochrane Library® from 1 January 1990 to 31 December 2019. To be selected for inclusion, original studies must have included a healthcare organization and have had a programmatic focus on increasing access to or providing fresh F&V to patients in an outpatient, naturalistic setting. The Effective Public Health Practice Project tool was used to assess study quality in 6 domains (selection bias, study design, confounders, blinding, data collection methods, and withdrawals and dropouts). RESULTS: A total of 8876 abstracts were screened, yielding 44 manuscripts or abstracts from 27 programs. Six program models were identified: 1) a cash-back rebate program, 2) F&V voucher programs, 3) garden-based programs, 4) subsidized food box programs, 5) home-delivery meal programs, and 6) collaborative food pantry-clinical programs. Only 6 of 27 studies included a control group. The overall quality of the studies was weak due to participant selection bias and incomplete reporting on data collection tools, confounders, and dropouts. Given the heterogeneity of outcomes measured and weak study quality, conclusions regarding dietary and health-related outcomes were limited. CONCLUSIONS: Healthcare-based initiatives to improve patient access to F&V are novel and have promise. However, future studies will need rigorous study designs and validated data collection tools, particularly related to dietary intake, to better determine the effect of these interventions on health-related outcomes.</p

Technology Integration: The Role of the Diabetes Care and Education Specialist in Practice.

PURPOSE: Technology is rapidly evolving and has become an integral component of diabetes care. People with diabetes and clinicians are harnessing a variety of technologies, including connected blood glucose meters, continuous glucose monitors, insulin pumps, automated insulin delivery systems, data-sharing platforms, telehealth, remote monitoring, and smartphone mobile applications to improve clinical outcomes and quality of life. Although diabetes technology use is associated with improved outcomes, this is enhanced when the person using it is knowledgeable and actively engaged; simply wearing the device or downloading an app may not automatically translate into health benefits. The diabetes care and education specialist (DCES) has a central role in defining and establishing a technology-enabled practice setting that is efficient and sustainable. The purpose of this article is to describe the role of the DCES in technology implementation and to demonstrate the value of diabetes technology in both the care of the individual and as a tool to support population-level health improvements. CONCLUSION: By following the recommendations in this article, DCESs can serve as technology champions in their respective practices and work to reduce therapeutic inertia while improving health outcomes and providing patient-centered care for the populations they serve