The impact of CGM on the duration of periods with low glucose measured
in interstitial fl uid is well known. But studies showing an impact of CGM
on low blood glucose values, measured by POC-GM are rare. This crossover
study examines the impact of CGM on duration of periods spent in low
interstitial glucose range (70 mg/dl) as well as on the proportion of low blood
glucose (BG) values measured by POC-GM (Glukometer 3000, Bio Sensor
Technology, Germany)and time until detection of low BG by use of POC-GM.
41 type 1 diabetic patients (age 42.0 ±11.3 yrs, diabetes duration 15.3
±10.1; A1c 8.2 ±1.4%) used the DEXCOM 7 Plus CGM system twice; once
participants were blinded against the results and in the other study phase
(Open GCM) patients received real-time glucose values and current glucose
trends, used the CGM data to determine their insulin dose, and were alerted
if hypoglycaemic or hyperglycaemic glucose ranges were approached. In
addition, BG was routinely measured 6 times a day by POC-GM. The order of
study phases was randomized. The time spent in a hypoglycaemic glucose
range (< 70 mg/dl) was reduced by open CGM from 180.6 ±125 to 125 ± 89.2
minutes per day (p=.005). Also time spent in the euglycemic glucose range
was increased from 946 ±176 to 1023 ±168 minutes per day (p=.003). Open
CGM reduced the proportion of low BG measurements by POC-GM from
10.3 ±7.6% to 7.4 ±5.8% (p=.039), whereas the euglycemic POC readings
was increased from 68.3 ±12.1% to 73.7 ±12.1% (p=.007). The time until a
hypoglycaemic BG value was detected by POC-GM was signifi cantly (p.028)
shortened by 33.1 (95% CI 3.8 -62.3) minutes.
These results demonstrate that CGM used for insulin dosing and
hypoglycaemia alerts not only diminishes low interstitial glucose values but
also reduces the proportion of low BG measured by POC-GM. In addition
the time for the detection of a hypoglycaemic episode by POC-GM was
signifi cantly shortened
Inaugural lecture delivered in abridged form on the acceptance of the Chair of Political Science, especially Governance of Complex and Innovative Technological Systems at the Otto-Friedrich University Bamberg, Germany (June 1st, 2016).
Although still in the early stages of diffusion, smartwatches represent the most popular type of wearable devices. Yet, little is known why some people are more likely to adopt smartwatches than others. To deepen the understanding of underlying factors prompting adoption behavior, the authors develop a theoretical model grounded in technology acceptance and social psychology literature. Empirical results reveal perceived usefulness and visibility as important factors that drive intention. The magnitude of these antecedents is influenced by an individual’s perception of viewing smartwatches as a technology and/or as a fashion accessory. Theoretical and managerial implications are discussed.
Augmented Reality Smart Glasses are an emerging new wearable technology that integrates
virtual information in a user’s view-field. In this article, the authors discuss the
opportunities of smart glasses in the context of Enterprise Social Networks (ESN). A
proposed conceptual model is developed that demonstrates the underlying mechanisms
that drive smart glasses ESN adoption on a firm level. Furthermore, on the individual
employee level, the authors propose the antecedents to active and passive use. The
theoretical contribution is a comprehensive hierarchical model that extends prior technology
acceptance and ESN research. On the managerial front, the article provides guidance
to managers who aim at achieving competitive advantages by improving knowledge
management through the use of new wearable Augmented Reality technologies.