The Association of Diabetes and Hyperglycemia on Inpatient Readmissions.

OBJECTIVE: To evaluate the association between inpatient glycemic control and readmission in individuals with diabetes and hyperglycemia (DM/HG). METHODS: Two data sets were analyzed from fiscal years 2011 to 2013: hospital data using the International Classification of Diseases, Ninth Revision (ICD-9) codes for DM/HG and point of care (POC) glucose monitoring. The variables analyzed included gender, age, mean, minimum and maximum glucose, along with 4 measures of glycemic variability (GV), standard deviation, coefficient of variation, mean amplitude of glucose excursions, and average daily risk range. RESULTS: Of 66 518 discharges in FY 2011-2013, 28.4% had DM/HG based on ICD-9 codes and 53% received POC monitoring. The overall readmission rate was 13.9%, although the rates for individuals with DM/HG were higher at 18.9% and 20.6% using ICD-9 codes and POC data, respectively. The readmitted group had higher mean glucose (169 ± 47 mg/dL vs 158 ± 46 mg/dL, P < .001). Individuals with severe hypoglycemia and hyperglycemia had the highest readmission rates. All 4 GV measures were consistent and higher in the readmitted group. CONCLUSION: Individuals with DM/HG have higher 30-day readmission rates than those without. Those readmitted had higher mean glucose, more extreme glucose values, and higher GV. To our knowledge, this is the first report of multiple metrics of inpatient glycemic control, including GV, and their associations with readmission.

Effect of Behavioral Therapy With In-Clinic or Telephone Group Visits vs In-Clinic Individual Visits on Weight Loss Among Patients With Obesity in Rural Clinical Practice: A Randomized Clinical Trial.

Importance: Rural populations have a higher prevalence of obesity and poor access to weight loss programs. Effective models for treating obesity in rural clinical practice are needed. Objective: To compare the Medicare Intensive Behavioral Therapy for Obesity fee-for-service model with 2 alternatives: in-clinic group visits based on a patient-centered medical home model and telephone-based group visits based on a disease management model. Design, Setting, and Participants: Cluster randomized trial conducted in 36 primary care practices in the rural Midwestern US. Inclusion criteria included age 20 to 75 years and body mass index of 30 to 45. Participants were enrolled from February 2016 to October 2017. Final follow-up occurred in December 2019. Interventions: All participants received a lifestyle intervention focused on diet, physical activity, and behavior change strategies. In the fee-for-service intervention (n = 473), practice-employed clinicians provided 15-minute in-clinic individual visits at a frequency similar to that reimbursed by Medicare (weekly for 1 month, biweekly for 5 months, and monthly thereafter). In the in-clinic group intervention (n = 468), practice-employed clinicians delivered group visits that were weekly for 3 months, biweekly for 3 months, and monthly thereafter. In the telephone group intervention (n = 466), patients received the same intervention as the in-clinic group intervention, but sessions were delivered remotely via conference calls by centralized staff. Main Outcomes and Measures: The primary outcome was weight change at 24 months. A minimum clinically important difference was defined as 2.75 kg. Results: Among 1407 participants (mean age, 54.7 [SD, 11.8] years; baseline body mass index, 36.7 [SD, 4.0]; 1081 [77%] women), 1220 (87%) completed the trial. Mean weight loss at 24 months was -4.4 kg (95% CI, -5.5 to -3.4 kg) in the in-clinic group intervention, -3.9 kg (95% CI, -5.0 to -2.9 kg) in the telephone group intervention, and -2.6 kg (95% CI, -3.6 to -1.5 kg) in the in-clinic individual intervention. Compared with the in-clinic individual intervention, the mean difference in weight change was -1.9 kg (97.5% CI, -3.5 to -0.2 kg; P = .01) for the in-clinic group intervention and -1.4 kg (97.5% CI, -3.0 to 0.3 kg; P = .06) for the telephone group intervention. Conclusions and Relevance: Among patients with obesity in rural primary care clinics, in-clinic group visits but not telephone-based group visits, compared with in-clinic individual visits, resulted in statistically significantly greater weight loss at 24 months. However, the differences were small in magnitude and of uncertain clinical importance. Trial Registration: ClinicalTrials.gov Identifier: NCT02456636.

Has Technology Improved Diabetes Management in Relation to Age, Gender, and Ethnicity?

PURPOSE OF REVIEW: To review the current state of diabetes technology adoption and describe impact on outcomes in the context of age, gender, and ethnicity. We will discuss barriers and propose solutions that may help facilitate the adoption. RECENT FINDINGS: We are witnessing rapid evolution and increase in adoption of diabetes technology in all its forms, including insulin delivery and glucose monitoring devices, mobile medical applications, and telemedicine. This technology has a great potential to improve diabetes-related outcomes, including acute and chronic complications as well as quality of life for people living with diabetes. However, currently available outcome data are showing modest efficacy and evidence for disparities when it comes to age, gender, and ethnicity. Despite multiple barriers, the adoption of technology is steadily increasing. It is clear that disparities exist in terms of access to and use of technology, but they may be at least in part driven by unmet needs of end users and as such are not unsurmountable. While more research is needed to identify the specific causes for the disparities, future development of diabetes technology that is based on adaptation of behavioral theories has a potential to address the gaps. The disparities can be lessened by understanding the needs of end users and with improvement in personalization of technology, allowing the right device to be used by the right patient. Targeted interventions to increase awareness and education and help navigate the processes involved in currently available technology may help diminish the gaps in health equity.

Diabetes Management Through Remote Patient Monitoring: The Importance of Patient Activation and Engagement with the Technology.

Background: The documented efficacy and promise of telemedicine in diabetes management does not necessarily mean that it can be easily translated into clinical practice. An important barrier concerns patient activation and engagement with telemedicine technology. Objective: To assess the importance of patient activation and engagement with remote patient monitoring technology in diabetes management among patients with type 2 diabetes. Methods: Ordinary least squares and logistic regression analyses were used to examine how patient activation and engagement with remote patient monitoring technology were related to changes in hemoglobin A1c (HbA1c) for 1,354 patients with type 2 diabetes monitored remotely for 3 months between 2015 and 2017. Results: Patients with more frequent and regular participation in remote monitoring had lower HbA1c levels at the end of the program. Compared to patients who uploaded their biometric data every 2 days or less frequently, patients who maintained an average frequency of one upload per day were less likely to have a postmonitoring HbA1c > 9% after adjusting for selected covariates on baseline demographics and health conditions. Conclusions: Higher levels of patient activation and engagement with remote patient monitoring technology were associated with better glycemic control outcomes. Developing targeted interventions for different groups of patients to promote their activation and engagement levels would be important to improve the effectiveness of remote patient monitoring in diabetes management.

App-Based Insulin Calculators: Current and Future State.

PURPOSE OF REVIEW: To perform a comprehensive literature review and critical assessment of peer-reviewed manuscripts addressing the efficacy, safety, or usability of insulin calculator apps. RECENT FINDINGS: Managing diabetes with insulin can be complex, and literacy and numeracy skills pose barriers to manual insulin dose calculations. App-based insulin calculators are promising tools to help people with diabetes administer insulin safely and have potential to improve glycemic control. While a large number of apps which assist with insulin dosing are available, there is limited data evaluating their efficacy, safety, and usability. Recently, a need for regulatory oversight has been recognized, but few apps meet federal standards. Thus, choosing an appropriate app is challenging for both patients and providers. An electronic literature review was performed to identify insulin calculator apps with either evidence for efficacy, safety or usability published in peer-reviewed literature or with FDA/CE approval. Twenty apps were identified intended for use by patients with diabetes on insulin. Of these, nine included insulin calculators. Summaries of each app, including pros and cons, are provided. Insulin-calculator apps have the potential to improve self-management of diabetes. While current literature demonstrates improvements in quality of life and glycemic control after use of these programs, larger trials are needed to collect outcome and safety data. Also, further human factor analysis is needed to assure these apps will be adopted appropriately by people with diabetes. App features including efficacy and safety data need to be easily available for consumer review and decision making. Higher standards need to be set for app developers to ensure safety and efficacy.

Inpatient hypoglycemia: a challenge that must be addressed.

Hypoglycemia in the inpatient setting is a common occurrence with potentially harmful outcomes. Large trials in both the inpatient and outpatient settings have found a correlation between hypoglycemia and morbidity and mortality. The incidence of hypoglycemia is difficult to assess, due to a lack of standardized definitions and different methods of data collection between hospital systems. Risk factors that predispose to hypoglycemia involve the changing clinical statuses of patients, nutrition issues, and hospital processes. Mechanisms contributing to morbidity due to hypoglycemia may include an increase in sympathoadrenal responses, as well as indirect changes affecting cytokine production, coagulation, fibrinolysis, and endothelial function. Prevention of hypoglycemia requires implementation of several strategies that include patient safety, quality control, multidisciplinary communication, and transitions of care. In this article, we discuss all of these issues and provide suggestions to help predict and prevent hypoglycemic episodes during an inpatient stay. We address the issues that occur upon admission, during the hospital stay, and around the time of discharge. We believe that decreasing the incidence of inpatient hypoglycemia will both decrease costs and improve patient outcomes.

Going into town or staying home: Rural patient experience and preference with home-based versus clinic-based telehealth.

INTRODUCTION: Telehealth is a model of care with potential to improve access, and in turn outcomes, for people living in rural areas. Since 2013, our endocrine clinic-based telehealth program has provided care at rural community hospitals in Nebraska and Iowa. At the start of the COVID-19 pandemic, when regulations around telehealth were adjusted, patients previously seen via clinic-based telehealth had the option to continue clinic-based visits or have a home-based telehealth visit. There is no literature comparing patient experiences between home-based and clinic-based telehealth. The purpose of this study was to understand rural patient preferences regarding endocrinology home-based versus clinic-based telehealth visits. METHODS: This was a survey study of adult, rural patients who experienced both a clinic-based and home-based telehealth visit with their established endocrinology provider. Respondents were asked about demographics, their reason for visit, preference for home versus clinic-based telehealth, and how they would have received care if telehealth were not an option. RESULTS: Forty-two patients (40.8%) responded to the survey, with 27 patients (64.3%) preferring home-based telehealth. There were no significant differences between the groups. However, 47.5% of patients would not have sought specialty care if telehealth were not an option. DISCUSSION: This survey of endocrine patients experienced in both clinic-based and home-based telehealth indicates that, while most respondents preferred home-based telehealth, there are distinct advantages to each model and patients appreciate having options. We believe it is important to maintain both lines of service to provide patient-centered care and improve access to specialty care.

In-Person and Telehealth Provider Access and Glycemic Control for People With Diabetes During the COVID-19 Pandemic.

BACKGROUND: Ambulatory care underwent rapid changes at the onset of the COVID-19 pandemic. Care for people with diabetes shifted from an almost exclusively in-person model to a hybrid model consisting of in-person visits, telehealth visits, phone calls, and asynchronous messaging. METHODS: We analyzed data for all patients with diabetes and established with a provider at a large academic medical center to identify in-person and telehealth ambulatory provider visits over two periods of time (a "pre-COVID" and "COVID" period). RESULTS: While the number of people with diabetes and any ambulatory provider visit decreased during the COVID period, telehealth saw massive growth. Per Hemoglobin A1c, glycemic control remained stable from the pre-COVID to COVID time periods. CONCLUSIONS: Findings support continued use of telehealth, and we anticipate hybrid models of care will be utilized for people with diabetes beyond the pandemic.

Rural Telehealth Visits in the Management of Type 1 Diabetes.

INTRODUCTION: Despite advances in and increased adoption of technology, glycemic outcomes for individuals with type 1 diabetes (T1D) have not improved. Access to care is limited for many, in part due to a shortage of endocrinologists and their concentration in urban areas. Managing T1D via telehealth has potential to improve glycemic outcomes, as the barriers of travel-related time and cost are mitigated. METHODS: Our endocrine telehealth program started in 2013 and currently provides care to nine rural community hospitals in Nebraska and Iowa. A retrospective cohort study was performed to evaluate glycemic outcomes in people with T1D who received care at these telehealth clinics from 2013-2019. Data were collected on age, race, gender, prior diabetes provider, use of diabetes technology, and A1c values over time. RESULTS: One hundred thirty-nine individuals were followed for an average duration of 32 months (range 4-69 months). Sixty-six percent of people were previously under the care of an endocrinologist. The most common therapeutic action, in addition to insulin adjustment, was addition of a CGM (52%). Each year in telemedicine care was associated with a decline of 0.13% in A1c (95% CI: -0.20, -0.06). There was no association between A1c and age or gender. When stratifying by previous diabetes provider, all groups had a statistically significant decline in A1c, even those with a previous endocrine provider. There was no statistically significant decline in A1c based on addition of technology. CONCLUSION: We have shown that traditional telehealth visits are an effective way to provide care for people with T1D long-term and may provide distinct advantages to home telehealth visits.