Modern management of childhood diabetes: a role for computerized devices?

Game for health: How eHealth approaches might address the psychological needs of children and young people with long-term physical conditions

AIM

The aim of this study was to describe the psychological experiences of children and young people with long term physical conditions, their families and clinicians and to explore if these may be improved using eHealth interventions, including online information, support and e-therapy.

METHODS

Totally 11 children (7-12 years), 11 young people (13-18 years), 7 parents, 11 paediatricians and 10 general practitioners participated in a series of seven semi-structured digitally recorded focus groups. A general inductive approach was used to analyse interview data.

RESULTS

Feedback consisted of five main themes: (i) the experience of long-term physical conditions as an anxiety-provoking journey, (ii) limited access to information and eHealth-related interventions to support this journey, (iii) desires for interventions that assist with multiple aspects of the illness experience, (iv) diversity of preferences regarding the format and vehicle of such interventions, (v) the importance of trust regarding the source of interventions for children, young people and families and the sustainability of new interventions for clinicians.

CONCLUSIONS

eHealth interventions are currently being used in a limited manner by children and young people with long-term physical conditions and their families. Despite some concern expressed mainly by clinicians, there is overall support from all groups for the future development of eHealth interventions to address psychological issues for this audience, particularly anxiety. Relatable content, technological appeal and ease of access/referral to such interventions are likely to improve the uptake of these relatively new interventions.

Integrative gaming: a framework for sustainable game-based diabetes management

Obesity and diabetes have reached epidemic proportions in both developing and developed nations. While doctors and caregivers stress the importance of physical exercise in maintaining a healthy lifestyle, many people have difficulty subscribing to a healthy lifestyle. Virtual reality games offer a potentially exciting aid in accelerating and sustaining behavior change. However, care needs to be taken to develop sustainable models of employing games for the management of diabetes and obesity. In this article, we propose an integrative gaming paradigm designed to combine multiple activities involving physical exercises and cognitive skills through a game-based storyline. The persuasive story acts as a motivational binder that enables a user to perform multiple activities such as running, cycling, and problem solving. These activities guide a virtual character through different stages of the game. While performing the activities in the games, users wear sensors that can measure movement (accelerometers, gyrometers, magnetometers) and sense physiological measures (heart rate, pulse oximeter oxygen saturation). These measures drive the game and are stored and analyzed on a cloud computing platform. A prototype integrative gaming system is described and design considerations are discussed. The system is highly configurable and allows researchers to build games for the system with ease and drive the games with different types of activities. The capabilities of the system allow for engaging and motivating the user in the long term. Clinicians can employ the system to collect clinically relevant data in a seamless manner.

Glucose control in pediatric intensive care unit patients using an insulin-glucose algorithm

BACKGROUND

Control of hyperglycemia in adult medical and surgical intensive care units (ICUs) has been shown to dramatically decrease morbidity and mortality. Algorithms to achieve glycemic control in the ICU setting are evolving. We have evaluated the use of a discrete proportional-integral-derivative (PID) algorithm to control hyperglycemia in pediatric ICU (PICU) patients both with and without diabetes.

METHODS

Six PICU patients [four with diabetic ketoacidosis (DKA) and two with glucocorticoid-induced hyperglycemia] with glucose values >150 mg/dL were enrolled. Their hyperglycemia was managed with a PID algorithm that provided recommendations for both changes in the intravenous insulin infusion rate and the time to obtain the next discrete glucose value. Glucose targets were adjusted based on clinical circumstances.

RESULTS

Patients (mean age 9.2 years; range 1.8-14 years) utilized the algorithm for a total of 454.4 h. Mean time to the initial glucose target was 8.7 h (range 1.3-15.1 h) in five patients. One subject with hyperosmolar DKA did not achieve target before discharge from the PICU, and another was at target when the algorithm was initiated. After the glucose target was achieved, the mean SD was 23.5 mg/dL, and glucose values were >40 mg/dL above target 13% of the time and <40 mg/dL below target 1% of the time. There were no glucose values <55 mg/dL.

CONCLUSION

The PID algorithm safely and effectively controlled hyperglycemia in a PICU, despite multiple changes in intravenous fluids, steroid doses (including high-dose pulses), and hemodialysis.