Driving safety: concerns and experiences of parents of adolescent drivers with type 1 diabetes

Transition From Pediatric to Adult Care for Individuals With Type 1 Diabetes: Opportunities and Challenges

OBJECTIVES

Type 1 diabetes (T1D) is a chronic disease with patients across the age spectrum that has high potential for morbidity and mortality. Unfortunately, patients transitioning from pediatric to adult care continue to demonstrate worsened glycemic control in part due to lack of understanding of transition of care best practices.

METHODS

This review highlights the impact of existing transition of care interventions, assessment tools, and other recently published strategies for providers to consider to improve care of adolescent and young adult (AYA) patients with T1D in both hospital- and clinic-based settings.

RESULTS

Many barriers impact patients with T1D during the transition period and disparities by race, sex, insurance status, and comorbid illness persist. As diabetic care continues to evolve and the prevalence of adolescents and young adults living with T1D increases, an intentional approach to transition of care is more pressing than ever. While current literature on transition of care models is limited, many show promise in improving clinic attendance and decreasing hospitalization. There are critical discussions that providers should lead with AYA patients to improve their outcomes and increase diabetes self-management, such as re-addressing carbohydrate counseling, sleep hygiene, and reproductive planning.

CONCLUSION

While further research on transition of care is needed, many care models offer the promise of improved T1D outcomes, enhancements in our approach to care, and increased value for our health care system at large.

Emergency Glucagon: a Focused Review of Psychosocial Experiences of Rescue Drugs for Type 1 Diabetes

PURPOSE OF REVIEW

The purpose of this paper is to describe rescue glucagon types, safety, efficacy, and preferences, as well as to review articles regarding emergency glucagon usage, severe hypoglycemia, and the emotions of both phenomena. We conducted a review of current literature on glucagon usage and the emotional impact of severe hypoglycemia on people with diabetes (PwD) and the caregivers of people with type 1 diabetes (T1D).

RECENT FINDINGS

Minimal research exists pertaining to glucagon and severe hypoglycemic experiences in PwD, which is troubling considering the severity of risks and possible side effects. Recent articles described negative emotions such as fear, anxiety, stress, helplessness, shame, embarrassment, loneliness, frustration, hopefulness, and uncertainty surrounding glucagon usage. There is scarce research regarding PwD's emotions surrounding severe hypoglycemia and rescue glucagon use. Additional research is needed to investigate the emotions and feelings people with T1D and their caregivers' experience pertaining to severe hypoglycemia and emergency glucagon use.

Exploring Knowledge and Safety Practices for Driving in Youth With Type 1 Diabetes

OBJECTIVES

The aim of this work was to survey how well adolescents with type 1 diabetes mellitus (T1D) of legal driving age understand the risks associated with driving with diabetes and report adherence to recommendations.

METHODS

This study was a cross-sectional survey of 191 adolescents, 14 to 18 years of age, with T1D.

RESULTS

The average (standard deviation [SD]) glycated hemoglobin of respondents with a learner's or a driver's license was 9.0% (SD, 1.9%) and 8.9% (SD, 1.9%), respectively (p=0.91). The proportions of adolescents with a learner's or a driver's license who almost always or always checked their blood glucose prior to driving was 69% and 41%, respectively (p=0.01). Eighteen percent of adolescents with a learner's license and 41% with a driver's license experienced hypoglycemia while driving. The average number of weekly hypoglycemic events in each group was 2.0 (SD, 1.4) and 2.3 (SD, 2.0), respectively. There was a higher reported frequency of weekly mild hypoglycemic events between drivers who reported pulling over at least once while driving due to symptoms of hypoglycemia (3.25±2.38) and those who reported never having pulled over for hypoglycemia (1.87±1.31) (p=0.012). Respondents with a learner's license reported higher adherence to guidelines than those with a full license.

CONCLUSIONS

Clinical education needs to reinforce adherence to recommendations, particularly checking blood glucose or wearing a continuous glucose monitor prior to driving, for all adolescents of driving age. The frequency of mild hypoglycemic events per week is associated with self-reported hypoglycemic events while driving.

Safe driving practices and factors associated with motor-vehicle collisions among people with insulin-treated diabetes mellitus: Results from the Diabetes and Driving (DAD) study

INTRODUCTION

The aim of this study was to assess the prevalence of people with insulin-treated diabetes mellitus (ITDM) who have discussed issues related to diabetes and driving with their health care providers (HCPs). We also sought to determine the safe driving practices that are currently employed by this group. Finally, we investigated the factors that might increase the risk of motor-vehicle collisions (MVCs) among this group in Saudi Arabia.

METHOD

This cross-sectional study surveyed a representative sample of 429 current male drivers with ITDM using a structured questionnaire in Saudi Arabia.

RESULTS

Most of the participants (76.5%) never discussed topics regarding diabetes and driving with their HCPs. The majority of the participants (61.8%) reported at least never doing one of the following: (a) carrying a blood glucose testing kit while driving, (b) testing their blood glucose level before driving or during a journey, or (c) having thought of a specific threshold of blood glucose level that would preclude driving. Three factors were associated with a higher risk of MVCs among participants with ITDM: (a) being on a basal/boluses regimen, (b) never having a discussion regarding diabetes and driving with their HCPs, and (c) having experienced hypoglycemia during driving.

CONCLUSIONS

The majority of people with ITDM had not had a discussion regarding diabetes and driving with their HCPs, which was reflected by a lack of safe driving practices. People with ITDM should be encouraged to take precautions while driving in order to prevent future MVCs.

PRACTICAL APPLICATIONS

This research highlights the importance of investing more effort in educating drivers who have diabetes about safe driving practices by their health care providers. Also, it will attracts the attention of policymakers for an urgent need to establish clear policies and procedures for dealing with drivers who have diabetes.

Predicting and Reducing Driving Mishaps Among Drivers With Type 1 Diabetes

OBJECTIVE

Two aims of this study were to develop and validate A) a metric to identify drivers with type 1 diabetes at high risk of future driving mishaps and B) an online intervention to reduce mishaps among high-risk drivers.

RESEARCH DESIGN AND METHODS

To achieve aim A, in study 1, 371 drivers with type 1 diabetes from three U.S. regions completed a series of established questionnaires about diabetes and driving. They recorded their driving mishaps over the next 12 months. Questionnaire items that uniquely discriminated drivers who did and did not have subsequent driving mishaps were assembled into the Risk Assessment of Diabetic Drivers (RADD) scale. In study 2, 1,737 drivers with type 1 diabetes from all 50 states completed the RADD online. Among these, 118 low-risk (LR) and 372 high-risk (HR) drivers qualified for and consented to participate in a 2-month treatment period followed by 12 monthly recordings of driving mishaps. To address aim B, HR participants were randomized to receive either routine care (RC) or the online intervention "DiabetesDriving.com" (DD.com). Half of the DD.com participants received a motivational interview (MI) at the beginning and end of the treatment period to boost participation and efficacy. All of the LR participants were assigned to RC. In both studies, the primary outcome variable was driving mishaps.

RESULTS

Related to aim A, in study 1, the RADD demonstrated 61% sensitivity and 75% specificity. Participants in the upper third of the RADD distribution (HR), compared with those in the lower third (LR), reported 3.03 vs. 0.87 mishaps/driver/year, respectively (P < 0.001). In study 2, HR and LR participants receiving RC reported 4.3 and 1.6 mishaps/driver/year, respectively (P < 0.001). Related to aim B, in study 2, MIs did not enhance participation or efficacy, so the DD.com and DD.com + MI groups were combined. DD.com participants reported fewer hypoglycemia-related driving mishaps than HR participants receiving RC (P = 0.01), but more than LR participants receiving RC, reducing the difference between the HR and LR participants receiving RC by 63%. HR drivers differed from LR drivers at baseline across a variety of hypoglycemia and driving parameters.

CONCLUSIONS

The RADD identified higher-risk drivers, and identification seemed relatively stable across time, samples, and procedures. This 11-item questionnaire could inform patients at higher risk, and their clinicians, that they should take preventive steps to reduce driving mishaps, which was accomplished in aim B using DD.com.

High Intensity Aerobic Exercise Training Improves Deficits of Cardiovascular Autonomic Function in a Rat Model of Type 1 Diabetes Mellitus with Moderate Hyperglycemia

Indices of cardiovascular autonomic neuropathy (CAN) in experimental models of Type 1 diabetes mellitus (T1DM) are often contrary to clinical data. Here, we investigated whether a relatable insulin-treated model of T1DM would induce deficits in cardiovascular (CV) autonomic function more reflective of clinical results and if exercise training could prevent those deficits. Sixty-four rats were divided into four groups: sedentary control (C), sedentary T1DM (D), control exercise (CX), or T1DM exercise (DX). Diabetes was induced via multiple low-dose injections of streptozotocin and blood glucose was maintained at moderate hyperglycemia (9-17 mM) through insulin supplementation. Exercise training consisted of daily treadmill running for 10 weeks. Compared to C, D had blunted baroreflex sensitivity, increased vascular sympathetic tone, increased serum neuropeptide Y (NPY), and decreased intrinsic heart rate. In contrast, DX differed from D in all measures of CAN (except NPY), including heart rate variability. These findings demonstrate that this T1DM model elicits deficits and exercise-mediated improvements to CV autonomic function which are reflective of clinical T1DM.

Driving and diabetes: problems, licensing restrictions and recommendations for safe driving

Driving is a complex process that places considerable demands on cognitive and physical functions. Many complications of diabetes can potentially impair driving performance, including those affecting vision, cognition and peripheral neural function. Hypoglycemia is a common side-effect of insulin and sulfonylurea therapy, impairing many cognitive domains necessary for safe driving performance. Driving simulator studies have demonstrated how driving performance deteriorates during hypoglycemia. Driving behavior that may predispose to hypoglycemia while driving is examined. Studies examining the risk of road traffic accidents in people with insulin-treated diabetes have produced conflicting results, but the potential risk of hypoglycemia-related road traffic accidents has led to many countries imposing restrictions on the type and duration of driving licenses that can be issued to drivers with diabetes. Guidance that promotes safe driving practice has been provided for drivers with insulin-treated diabetes, which is the group principally addressed in this review.

Diabetes and driving safety: science, ethics, legality and practice

Diabetes affects over 25 million people in the United States, most of whom are over the age of 16 and many of whom are licensed to drive a motor vehicle. Safe operation of a motor vehicle requires complex interactions of cognitive and motor functions and medical conditions that affect these functions often will increase the risk of motor vehicle accidents (MVA). In the case of diabetes, hypoglycemia is the most common factor that has been shown to increase MVA rates. When people with diabetes are compared with nondiabetic controls, systematic analyses show that the relative risk of MVA is increased by between 12% and 19% (Relative Risk Ratio 1.12-1.19). In comparison, the RRR for attention deficit hyperactivity disorder is 4.4 and for sleep apnea is 2.4. Epidemiologic research suggests that patients at risk for hypoglycemia-related MVAs may have some characteristics in common, including a history of severe hypoglycemia or of hypoglycemia-related driving mishaps. Experimental studies also have shown that people with a history of hypoglycemia-related driving mishaps have abnormal counter-regulatory responses to hypoglycemia and greater cognitive impairments during moderate hypoglycemia.