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2.
J Med Internet Res ; 14(3): e70, 2012 May 08.
Article in English | MEDLINE | ID: mdl-22564332

ABSTRACT

BACKGROUND: The use of mHealth apps has shown improved health outcomes in adult populations with type 2 diabetes mellitus. However, this has not been shown in the adolescent type 1 population, despite their predisposition to the use of technology. We hypothesized that a more tailored approach and a strong adherence mechanism is needed for this group. OBJECTIVE: To design, develop, and pilot an mHealth intervention for the management of type 1 diabetes in adolescents. METHODS: We interviewed adolescents with type 1 diabetes and their family caregivers. Design principles were derived from a thematic analysis of the interviews. User-centered design was then used to develop the mobile app bant. In the 12-week evaluation phase, a pilot group of 20 adolescents aged 12-16 years, with a glycated hemoglobin (HbA(1c)) of between 8% and 10% was sampled. Each participant was supplied with the bant app running on an iPhone or iPod Touch and a LifeScan glucometer with a Bluetooth adapter for automated transfers to the app. The outcome measure was the average daily frequency of blood glucose measurement during the pilot compared with the preceding 12 weeks. RESULTS: Thematic analysis findings were the role of data collecting rather than decision making; the need for fast, discrete transactions; overcoming decision inertia; and the need for ad hoc information sharing. Design aspects of the resultant app emerged through the user-centered design process, including simple, automated transfer of glucometer readings; the use of a social community; and the concept of gamification, whereby routine behaviors and actions are rewarded in the form of iTunes music and apps. Blood glucose trend analysis was provided with immediate prompting of the participant to suggest both the cause and remedy of the adverse trend. The pilot evaluation showed that the daily average frequency of blood glucose measurement increased 50% (from 2.4 to 3.6 per day, P = .006, n = 12). A total of 161 rewards (average of 8 rewards each) were distributed to participants. Satisfaction was high, with 88% (14/16 participants) stating that they would continue to use the system. Demonstrating improvements in HbA(1c) will require a properly powered study of sufficient duration. CONCLUSIONS: This mHealth diabetes app with the use of gamification incentives showed an improvement in the frequency of blood glucose monitoring in adolescents with type 1 diabetes. Extending this to improved health outcomes will require the incentives to be tied not only to frequency of blood glucose monitoring but also to patient actions and decision making based on those readings such that glycemic control can be improved.


Subject(s)
Diabetes Mellitus, Type 1/therapy , Self Care , Software , Adolescent , Cell Phone , Glycated Hemoglobin/analysis , Humans , Pilot Projects
3.
Healthc Q ; 11(1): 92-6, 2008.
Article in English | MEDLINE | ID: mdl-18326386

ABSTRACT

3C have a constant need to manage their own personal healthcare. This requires managing information related to their conditions. Given that the nature of healthcare is information intensive, effective management requires much more than simply providing patients with access to their electronic health record within a hospital-based system. This practice has been followed with little ongoing success. 3C will need a health recording system specifically designed and implemented for them, with essential decision-support capabilities built in. Furthermore, while non-3C may experience peaks and valleys of increased consumption of healthcare services, which alter their contextual environment, 3C are constantly engaged through either the consumption of information to improve self-management or the consumption of health services to treat the underlying condition and all of the associated comorbidities. As a result, 3C will not only demand information within effectively designed PHRs, but they will do so in ways and in frequencies that we have not yet imagined. This has been the experience from many industries once the primary end-users have been empowered. We conclude with a single yet most important recommendation: that the healthcare system recognize 3C as powerful active participants with the ability to drive change and the adoption of PHRs. Opportunities must be provided to involve 3C in system design, testing and development.


Subject(s)
Access to Information , Health Knowledge, Attitudes, Practice , Medical Records Systems, Computerized , Medical Records , Access to Information/psychology , Health Care Sector , Humans , Information Management , Patient Satisfaction , Quality Assurance, Health Care
4.
Exp Physiol ; 87(3): 383-9, 2002 May.
Article in English | MEDLINE | ID: mdl-12089606

ABSTRACT

The rapid increase in body mass that often occurs following creatine (Cr) supplementation is believed to be due to intracellular water retention. The purpose of this study was to determine whether Cr consumption alters the magnetic resonance (MR) transverse relaxation (T(2)) distribution of skeletal muscle. Transverse relaxation can be used to model water compartments within a cell or tissue. In this double-blind study, subjects were asked to supplement their normal diet with creatine monohydrate (20 g day(-1) for 5 days) mixed with a grape drink (Creatine group, n = 7), or the grape drink alone (Placebo group, n = 8). Phosphorous MR spectroscopy was used to determine the effectiveness of the supplementation protocol. Subjects that responded to the Cr supplementation (i.e. showed a > 5 % increase in the ratio of the levels of phosphocreatine (PCr) and ATP) were placed in the Creatine group. Both proton MR imaging and spectroscopy were used to acquire T(2) data, at 1.89 T, from the flexor digitorum profundus muscle of each subject before and after supplementation. Following the supplementation period, the Creatine group showed a gain in body mass (1.2 +/- 0.8 kg, P < 0.05, mean +/- S.D.), and an increase in PCr/ATP ratio (23.8 +/- 16.4 %, P < 0.001). Neither group showed any changes in intracellular pH or T(2) calculated from MR images. However, the spectroscopy data revealed at least three components (> 5 ms) at approximately 20, 40 and 125 ms in both groups. Only in the Creatine group was there an increase in the apparent proton concentration of the two shorter components combined (+5.0 +/- 4.7 %, P < 0.05). According to the cellular water compartment model, the changes observed in the shorter T(2) components are consistent with an increase in intracellular water.


Subject(s)
Creatine/pharmacology , Muscle, Skeletal/drug effects , Muscle, Skeletal/physiology , Adult , Body Fluids/drug effects , Body Fluids/metabolism , Body Weight/drug effects , Body Weight/physiology , Dietary Supplements , Humans , Magnetic Resonance Imaging , Male , Muscle Relaxation/drug effects
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