Treating the most vulnerable and costly in diabetes

Narrowing the Divide: The Role of Telehealth in Type 1 Diabetes Care for Marginalized Communities

Widespread uptake of telehealth in response to the COVID-19 pandemic has highlighted geographic, demographic, and economic disparities in access to virtual care. However, research studies and clinical programs that predate the pandemic demonstrate the potential for telehealth-based interventions to improve access to and outcomes of type 1 diabetes (T1D) care for individuals in geographically or socially marginalized communities. In this expert commentary, we discuss telehealth-based care models that have been successful in improving care for marginalized T1D populations. We also outline the policy changes needed to expand access to such interventions to reduce established disparities in T1D care and promote better health equity among people living with T1D.

Development of an "all-data-on-hand" deep learning model to predict hospitalization for diabetic ketoacidosis (DKA) in youth with type 1 diabetes (T1D)

BACKGROUND

While prior research has identified multiple risk factors for diabetic ketoacidosis (DKA), clinicians continue to lack clinic-ready models to predict dangerous and costly episodes of DKA. We asked whether we could apply deep learning, specifically use of a long short-term (LSTM) model, to accurately predict 180-day risk of DKA-related hospitalization for youth with type 1 diabetes (T1D).

OBJECTIVE

To describe the development of a LSTM model to predict 180-day risk of DKA-related hospitalization for youth with T1D.

METHODS

We used 17 consecutive calendar quarters of clinical data (01/10/2016-03/18/2020) for 1745 youth 8 to 18-years with T1D from a pediatric diabetes clinic network in the Midwestern US. Input data included demographics, discrete clinical observations (lab results, vital signs, anthropometric measures, diagnosis and procedure codes), medications, visit counts by type of encounter, number of historic DKA episodes, number of days since last DKA admission, patient-reported outcomes (answers to clinic intake questions), and data features derived from diabetes- and non-diabetes-related clinical notes via natural language processing (NLP). We trained the model using input data from quarters 1-7 (n=1377), validated using input from quarters 3-9 in a partial out-of-sample cohort (OOS-P; n=1505), and further validated in a full out-of-sample cohort (OOS-F; n=354) with input from quarters 10-15.

RESULTS

DKA admissions occurred at a rate of 5% per 180-days in both OOS cohorts. For the OOS-P and OOS-F cohorts, respectively: median age was 13.7 years (IQR=11.3,15.8) and 13.1 years (10.7,15.5); and HbA1c at enrollment was 8.6% (7.6,9.8) [70 (60,84) mmol/mol] and 8.1% (6.9,9.5) [65 (52,80) mmol/mol]; 14% and 13% had prior DKA admissions (post-T1D-diagnosis); and recall was 0.33 and 0.50 for the top-ranked 5% of youth with T1D. For lists rank-ordered by probability of hospitalization, precision increased from 0.33 to 0.56 to 1.0 for positions 1-80, 1-25, and 1-10 in the OOS-P cohort and from 0.50 to 0.60 to 0.80 for positions 1-18, 1-10, and 1-5 in the OOS-F cohort.

CONCLUSIONS

The proposed LSTM model for predicting 180-day DKA-related hospitalization is valid in the present sample. Future work should evaluate model validity in multiple populations and settings to account for health inequities that may be present in different segments of the population (e.g., racially and/or socioeconomically diverse cohorts). Rank-ordering youth by probability of DKA-related hospitalization will allow clinics to identify the most at-risk youth. The clinical implication of this is that clinics may then create and evaluate novel preventive interventions based on available resources.

Reducing Diabetic Ketoacidosis Readmissions with a Hospital-School-Based Improvement Partnership

Diabetic ketoacidosis (DKA) is the leading cause of morbidity and mortality in pediatric type 1 diabetes mellitus (T1D). Baseline data showed 139 of 182 DKA readmissions (76.4%) were due to missed basal insulin dosing. The team used quality improvement tools to implement a process change around basal insulin. The project utilized insulin degludec and school-based nurses when missed basal insulin was noted as a main driver for readmission. The DKA readmission rate averaged 5.25 per month from January 2017 to April 2019. The rate decreased to 3.64 per month during the intervention from May 2019 to March 2020, a 31% reduction over 11 months. This standardized approach for patients with T1D readmitted with DKA, using a school-based intervention and insulin degludec, reduced the number of DKA readmissions. This method is safe and effective for lowering DKA readmissions due to missed basal insulin in areas with reliable school nursing.

Feasibility, Acceptability, and Preliminary Efficacy of an Intensive Clinic-Based Intervention for Children with Poorly Controlled Type 1 Diabetes

OBJECTIVE

To evaluate the feasibility, acceptability and preliminary efficacy of a team-based intervention for youth with type 1 diabetes (T1D) with suboptimal glycemia as measured by hemoglobin A1c (HbA1c).

METHODS

40 participants with T1D >1 year and HbA1c ≥9.5% (80mmol/mol) enrolled in a multidisciplinary intervention that included pediatric endocrinology, pediatric psychology, and a Certified Diabetes Care and Education Specialist (CDCES). The CDCES integrated medical management while reinforcing physical, emotional, and behavioral health, connected with families to set and monitor goals, and reviewed medication adjustments. Feasibility was assessed by enrollment targets, acceptability by retention rates, and preliminary efficacy by changes in HbA1c, quality of life (QoL), diabetes strengths and resilience, and hospital admissions, emergency room visits, and school days missed.

RESULTS

Of the 43 patients and families approached, 40 agreed to participate, 36 completed the 4-month intervention and 31 completed full 8-month follow-up data collection. The CDCES coach averaged 6.8 contacts per participant during the 8-month study period. HbA1c was reduced significantly from baseline to 4-months (12.1±1.6% to 11.0±1.9%, p=0.001) and sustained at 8-months (10.7±1.9%, p<0.001). Participants reported significant increases in diabetes-specific QoL (p<0.05) and diabetes strength and resilience (p=0.003). School days missed was reduced from 7.23±7.5 days to 1.55±1.9 days (p <0.001) and diabetes-related hospitalizations decreased from 0.4±0.6 to 0.1±0.3 (p=0.009).

CONCLUSIONS

Preliminary data suggest that a multidisciplinary intervention leveraging a team approach with a physician, psychologist and CDCES can support improvements in glycemic control and psychosocial outcomes among youth with type 1 diabetes with HbA1c above target.

An Automated Risk Index for Diabetic Ketoacidosis in Pediatric Patients With Type 1 Diabetes: The RI-DKA

Identifying patients at high risk for diabetic ketoacidosis (DKA) is crucial for informing efforts at preventive intervention. This study sought to develop and validate an electronic medical record (EMR)-based tool for predicting DKA risk in pediatric patients with type 1 diabetes. Based on analysis of data from 1,864 patients with type 1 diabetes, three factors emerged as significant predictors of DKA: most recent A1C, type of health insurance (public vs. private), and prior DKA. A prediction model was developed based on these factors and tested to identify and categorize patients at low, moderate, and high risk for experiencing DKA within the next year. This work demonstrates that risk for DKA can be predicted using a simple model that can be automatically derived from variables in the EMR.

Identification of Caregiver-Reported Social Risk Factors in Hospitalized Children

OBJECTIVES

Although health systems are increasingly moving toward addressing social determinants of health, social risk screening for hospitalized children is largely unexplored. We sought to determine if inpatient screening was feasible and describe the prevalence of social risk among children and caregivers, with special attention given to children with chronic conditions.

METHODS

Caregivers of pediatric patients on the hospitalist service at a children's hospital in the Pacific Northwest completed a social risk survey in 2017. This survey was used to capture items related to caregiver demographics; socioeconomic, psychosocial, and household risks; and adverse childhood experiences (ACEs). Charts were reviewed for child demographics and medical complexity. Results were tabulated as frequency distributions, and analyses compared the association of risk factors with a child's medical complexity by using χ² tests.

RESULTS

A total of 265 out of 304 (87%) caregivers consented to participate. One in 3 families endorsed markers of financial stress (eg, difficulty paying for food, rent, or utilities). Forty percent experienced medical bill or insurance troubles. Caregiver mental health concerns were prevalent, affecting over one-third of all respondents. ACEs were also common, with 38% of children having at least 1 ACE. The presence of any ACE was more likely for children with chronic conditions than those without.

CONCLUSIONS

We found that social risk screening in the inpatient setting was feasible; social risk was uniformly common and did not disproportionately affect those with chronic diseases. Knowing the prevalence of social risk may assist in appropriate alignment of interventions tiered by social complexity.

Management of Diabetic Ketoacidosis in Adults: A Narrative Review

Diabetic ketoacidosis (DKA) is the most common hyperglycemic emergency and causes the greatest risk for death in patients with diabetes mellitus. DKA more commonly occurs among those with type 1 diabetes, yet almost a third of the cases occur among those with type 2 diabetes. Although mortality rates from DKA have declined to low levels in general, it continues to be high in many developing countries. DKA is characterized by hyperglycemia, metabolic acidosis and ketosis. Proper management of DKA requires hospitalization for aggressive intravenous fluids, insulin therapy, electrolyte replacement as well as identification and treatment of the underlying precipitating event along with frequent monitoring of patient's clinical and laboratory states. The most common precipitating causes for DKA include infections, new diagnosis of diabetes and nonadherence to insulin therapy. Clinicians should be aware of the occurrence of DKA in patients prescribed sodium-glucose co-transporter 2 inhibitors. Discharge plans should include appropriate choice and dosing of insulin regimens and interventions to prevent recurrence of DKA. Future episodes of DKA can be reduced through patient education programs focusing on adherence to insulin and self-care guidelines during illness and improved access to medical providers. New approaches such as extended availability of phone services, use of telemedicine and utilization of public campaigns can provide further support for the prevention of DKA.

Your Exclusion, My Inclusion: Reflections on a Career Working With the Most Challenging and Vulnerable in Diabetes

EDITOR'S NOTE: This article is adapted from the address Dr. Harris delivered as the recipient of the American Diabetes Association's Richard R. Rubin Award for 2017. This award recognizes a behavioral researcher who has made outstanding, innovative contributions to the study and understanding of the behavioral aspects of diabetes in diverse populations. Dr. Harris delivered the address in June 2017 at the Association's 77th Scientific Sessions in San Diego, Calif.

The impact of ethnicity, educational and economic status on the prescription of insulin therapeutic regimens and on glycemic control in patients with type 1 diabetes. A nationwide study in Brazil

AIMS

Establish the relationship between demographic, educational and economic status on insulin therapeutic regimens (ITRs) and on glycemic control in patients with type 1 diabetes.

METHODS

This was a cross-sectional, multicenter study with 1760 patients conducted between August 2011 and August 2014 in 10 Brazilian cities.

RESULTS

Patients were stratified according to ITRs as follows: only NPH insulin (group 1, n=80(4.5%)); only long-acting insulin analogs (group 2, n=6(0.3%)); continuous subcutaneous insulin infusion (CSII) (group 3, n=62(3.5%)); NPH plus regular insulin (group 4, n=710(40.3%)); NPH plus ultra-rapid insulin analogs (group 5, n=259(14.8%)); long-acting insulin analogs plus regular insulin (group 6, n=25(4.4%)) and long-acting plus ultra-rapid insulin analogs (group 7, n=618 (35.1%)). As group A (provided free of charge by the government) we considered groups 1 and 4, and as group B (obtained through lawsuit or out-of-pocket) groups 2, 3 and 7. Multivariate logistic analysis showed that independent variables related to group B were older age, more years of school attendance, higher economic status and ethnicity (Caucasians). The independent variables related to better glycemic control were older age, higher adherence to diet, higher frequency of self-monitoring of blood glucose, more years of school attendance and belonging to group B.

CONCLUSIONS

In Brazilian National Health Care System, prescriptions of insulin analogs or CSII are more frequent in Caucasian patients with type 1 diabetes, with higher economic status and more years ofschool attendance. Among these variables years of school attendance was the only one associated with better glycemic control.

NICH at Its Best for Diabetes at Its Worst: Texting Teens and Their Caregivers for Better Outcomes

BACKGROUND

There is growing evidence for the feasibility of text-based interventions for pediatric patients with type 1 diabetes (T1D). However, less is known regarding whether the use of personalized text messages with high-risk youth and their caregivers is associated with improvements in youth health. This study examines the use of diabetes-specific texts and associated health outcomes for participants of the Novel Interventions in Children's Healthcare (NICH) program.

METHODS

Text messages sent to youth with T1D and their caregivers during NICH intervention were coded regarding diabetes relevance and adherence-related content. Health outcome data (eg, HbA1c values, hospital admissions) prior to and following NICH program enrollment were collected.

RESULTS

Fewer than half (43%) of texts sent to patients and their caregivers were identified as being related to diabetes, and over 95% of diabetes-related texts were identified as adherence-related. Participants in the NICH program demonstrated a significant decrease in HbA1c values, t(23) = 2.78, p ≤ .05, and DKA-related hospital visits, t(24) = 2.78, p ≤ .01, during program involvement. Although no relationships were identified between patient-recipient text characteristics and health outcomes, the frequency and type of text messaging with caregivers was significantly associated with changes in health outcomes.

CONCLUSIONS

This study represents the most extensive evaluation of diabetes-related SMS use and health outcomes for NICH participants to date. Findings demonstrate improvements in patient health during NICH program involvement. Implications include that sending frequent, personalized, and adherence-reinforcing texts to patients' caregivers may result in improved patient health, decreased utilization, and, potentially, associated reductions in health care costs.

Partnering with Insurers in Caring for the Most Vulnerable Youth with Diabetes: NICH as an Integrator

PURPOSE OF REVIEW

In this review, we outline barriers to appropriately caring for high-risk youth with diabetes and discuss efforts in partnering with insurers through Alternative Payment Models to achieve the Triple Aim (improved health, improved care, and reduced costs) for this population.

RECENT FINDINGS

Current approaches in caring for youth with diabetes who evidence a high degree of social complexity are woefully ineffective. These youth are vulnerable to repeat diabetic ketoacidosis episodes, poor glycemic control, and excessive utilization of healthcare resources. To effectively pursue the Triple Aim, an "integrator" (i.e., an entity that accepts responsibility for all components of the Triple Aim for a specified population) must be identified; however, this does not fit into current fee-for-service models. Integrators for youth with diabetes are limited, but early examples of integrator efforts are promising. We present one successful "integrator," Novel Interventions in Children's Healthcare (NICH), and detail this program's efforts in partnering with insurers to serve high-risk youth with diabetes.

Hospital and patient influencing factors of treatment schemes given to type 2 diabetes mellitus inpatients in Inner Mongolia, China

Background:

In clinical practice, the physician’s treatment decision making is influenced by many factors besides the patient’s clinical conditions and is the fundamental cause of healthcare inequity and discrimination in healthcare settings. Type 2 diabetes mellitus (T2DM) is a chronic disease with high prevalence, long average length of stay and high hospitalization rate. Although the treatment of T2DM is well guideline driven, there is a large body of evidence showing the existence of treatment disparities. More empirical studies from the provider side are needed to determine if non-clinical factors influence physician’s treatment choices.

Objective:

To determine the hospital and patient influencing factors of treatment schemes given to T2DM inpatients in Inner Mongolia, China.

Methods:

A cross-sectional, hospital-based survey using a cluster sampling technique was conducted in three tertiary hospitals and three county hospitals in Inner Mongolia, China. Treatment schemes were categorized as lifestyle management, oral therapy or insulin therapy according to the national guideline. Socio-demographic characteristics and variables related to severity of disease at the individual level and hospital level were collected. Weighted multinomial logistic regression models were used to determine influencing factors of treatment schemes.

Results:

Regardless of patients’ clinical conditions and health insurance types, both hospital and patient level variables were associated with treatment schemes. Males were more likely to be given oral therapy (RRR=1.72, 95% CI=1.06-2.81) and insulin therapy (RRR=1.94, 95% CI=1.29-2.91) compared to females who were given lifestyle management more frequently. Compared to the western region, hospitals in the central regions of Inner Mongolia were less likely to prescribe T2DM patients oral therapy (RRR = 0.18, 95% CI=0.05-0.61) and insulin therapy (RRR = 0.20, 95% CI=0.06-0.67) than lifestyle management. Compared with non-reformed tertiary hospitals, reformed tertiary hospitals and county hospitals were less likely to give T2DM patients oral therapy (RRR = 0.07 and 0.1 respectively) and insulin therapy (RRR = 0.11 and 0.17 respectively).

Conclusion:

Gender was the only socio-demographic factors associated with treatment scheme for T2DM patients. Hospitals from different regions have different T2DM treatment patterns. Implementation of reform was shown to be associated with controlling medication use for T2DM inpatients. Further studies are needed to investigate the causes of unreasonable treatment disparities so that policies can be generated accordingly.

Texting Adolescents in Repeat DKA and Their Caregivers

BACKGROUND

Text message interventions are feasible, preferable, and sometimes effective for youth with diabetes. However, few, if any studies, have examined the personalized use of text messages with youth repeatedly hospitalized for diabetic ketoacidosis (DKA) and their caregivers. This study characterizes the use of personalized text messages in Novel Interventions in Children's Healthcare (NICH).

METHODS

Approximately 2 months of text messages sent to youth with repeat DKA and their caregivers were logged regarding the following text characteristics: (1) content, (2) intervention type, (3) timing, and (4) recipient characteristics.

RESULTS

NICH interventionists sent 2.3 and 1.5 texts per day to patients and caregivers, respectively. Approximately 59% of outgoing texts occurred outside of typical business hours, and roughly 68% of texts contained some form of support and/or encouragement. The relation between type of intended intervention and day/time of text was significant, χ(2)(2, N = 5,808) = 266.93, P < .001. Interventionists were more likely to send behavioral intervention text messages outside of business hours, whereas they were more likely to send care coordination and case management text messages during business hours.

CONCLUSIONS

To our knowledge, this is the first study to specifically categorize and describe the personalized use of text messages with youth repeatedly hospitalized for DKA and their caregivers. Findings indicate that a promising treatment program for these youth frequently used text interventions to deliver praise and encouragement to patients and caregivers alike, often outside of typical business hours, and tailored text content based on patient and caregiver characteristics.

Outpatient Care Preceding Hospitalization for Diabetic Ketoacidosis

OBJECTIVE

To identify patterns of outpatient care associated with diabetic ketoacidosis (DKA) among pediatric patients with type 1 diabetes (T1D).

METHODS

Retrospective cohort study using Medicaid claims data from 2009 to 2012 for children with T1D enrolled ≥365 consecutive days in California Children's Services, a Title V program for low-income children with chronic disease. Outcome was DKA hospitalization >30 days after enrollment. Outpatient visits to primary care, endocrinology, pharmacies, and emergency departments (EDs) were assessed during the 6 months before an index date: either date of first DKA hospitalization or end of enrollment for those without DKA. Univariate and multivariate analysis was used to evaluate independent associations between DKA and outpatient care at clinically meaningful intervals preceding the index date.

RESULTS

Among 5263 children with T1D, 16.7% experienced DKA during the study period. Patients with DKA were more likely to have had an ED visit (adjusted odds ratio [aOR] 3.99, 95% confidence interval [CI]: 2.60-6.13) or a nonpreventive primary care visit (aOR 1.35, 95% CI: 1.01-1.79) within 14 days before the index date, and less likely to have visited an endocrinologist (aOR 0.76, 95% CI: 0.65-0.89) within the preceding 120 days. Preventive visits and pharmacy claims were not associated with DKA.

CONCLUSIONS

For children with T1D, recent ED visits and long intervals without subspecialty care are important signals of impending DKA. Combined with other known risk factors, these health-use indicators could be used to inform clinical and case management interventions that aim to prevent DKA hospitalizations.

Incidence and long-term outcomes of adult patients with diabetic ketoacidosis admitted to intensive care: A retrospective cohort study

AIMS

Diabetic ketoacidosis is a life-threatening but avoidable complication of diabetes mellitus often managed in intensive care units. The risk of emergency hospital readmission in patients surviving an intensive care unit episode of diabetic ketoacidosis is unknown. We aimed to report the cumulative incidence of emergency hospital readmission and costs in all patients surviving an intensive care unit episode of diabetic ketoacidosis in Scotland.

METHODS

We used a national six-year cohort of survivors of first diabetic ketoacidosis admissions to Scottish intensive care units (1 January 2005-31 December 2010) identified in the Scottish Intensive Care Society Audit Group registry linked to acute hospital and death records (follow-up censored 31 December 2010). Diabetic ketoacidosis-related emergency readmissions were identified using International Classification of Disease-10 codes.

RESULTS

During the study period, 386 patients were admitted to intensive care units in Scotland with diabetic ketoacidosis (admission rate 1.5/100,000 Scottish population). Median age was 44 (IQR 29-56); 51% male; 55% required no organ support on admission. Mortality after intensive care unit admission was 8% at 30 days, 18% at one year, and 35% at five years. A total of 349 patients survived their first intensive care unit diabetic ketoacidosis admission [mean (SD) age 42.5 (18.1) years; 50.4% women; 46.1% required ≥1 organ support]. Following hospital discharge, cumulative incidence of 90-day, one-year, and five-year diabetic ketoacidosis readmission (all-cause readmission) was 13.8% (31.8%), 29.7% (58.9%) and 46.4% (82.6%).

DISCUSSION

Diabetic ketoacidosis in patients requiring intensive care unit admission is associated with high risk of long-term mortality and high hospital costs. An understanding of the precipitating causes of diabetic ketoacidosis in patients admitted to intensive care units may allow patients who are at high risk to be targeted, potentially reducing future morbidity and the substantial burden that diabetic ketoacidosis currently places on the healthcare system.

Health-system-based interventions to improve care in pediatric and adolescent type 1 diabetes

Despite significant advances in pharmacology and technology, glycemic targets are difficult to achieve for patients with type 1 diabetes (T1D) and management remains burdensome for patients and their families. Quality improvement (QI) science offers a methodology to identify an aim, evaluate complex contributors to the goal, and test potential interventions to achieve outcomes of interest. Day-to-day management of diabetes is often an iterative process but interventions exist at all care levels: individual patient and family, clinic, and larger population and health system. This article reviews current literature and proposes novel QI interventions for enhancing health outcomes, with attention to essential determinants or drivers of improved glycemic control and patient experience for pediatric T1D in the context of the Chronic Care Model. In-depth consideration of key drivers of successful T1D care, including self-management and integration of technology, are explored, and examples of larger health systems with improved outcomes, including Learning Health Systems are highlighted.