CHILDREN AND MOBILE APPLICATIONS: HOW TO EFFECTIVELY DESIGN AND CREATE A CONCEPT MOBILE APPLICATION TO AID IN THE MANAGEMENT OF TYPE 1 DIABETES IN ADOLESCENTS

Author(s):  
Victoria McCulloch ◽  
Sarah Hope ◽  
Brian Loranger ◽  
Paul Rea
2016 ◽  
Vol 18 (12) ◽  
pp. 813-819 ◽  
Author(s):  
Steven Trawley ◽  
Jessica L. Browne ◽  
Virginia L. Hagger ◽  
Christel Hendrieckx ◽  
Elizabeth Holmes-Truscott ◽  
...  

2021 ◽  
Author(s):  
Rhys Dore

BACKGROUND Ethnic diversity in dermatology has previously been neglected within educational curricula. This has previously been demonstrated within many established dermatology textbooks. Many urban populations find their communities becoming increasingly diverse and medical education must match these changes. The increasing use and modernisation of mobile technology in health education may represent an avenue to provide increasingly diverse knowledge related to dermatology in dark skin populations. OBJECTIVE To review the representation of dark skin photography and diseases in dermatological educational resources provided via mobile application technology. METHODS Mobile applications related to ‘dermatology’ were reviewed within the Google Play Store. Only original mobile applications made for education of medical students or health professionals were analysed. Photographic depictions of dermatological conditions were categorised according to Fitzpatrick type 1-4, Fitzpatrick type 5-6, or uncertain. Additionally, mobile applications were reviewed for information regarding four conditions more common in people with darker skin: central centrifugal cicatricial alopecia, melasma, acral lentiginous melanoma, and keloid scarring. RESULTS Of 200 mobile applications reviewed, 12 were included within the analysis. In total 3755 in-app photographs were categorised into Fitzpatrick type 1-4 (3398 photographs, 90.5%), Fitzpatrick type 5-6 (245 photographs, 6.5%), or uncertain (112 photographs, 3.0%). The degree of photographs showing Fitzpatrick 5-6 ranged from 0.7% to 17.6% between the different mobile applications. This was not significantly different from results previously gained from photographic depictions in dermatology textbooks. Furthermore, the number of mobile applications presenting overt educational information regarding the four conditions reviewed varied considerably; central centrifugal cicatricial alopecia (1 application, 8.3%), melasma (5 applications, 41.7%), acral lentiginous melanoma (4 applications, 33.3%), and keloid scarring (6 applications, 50%). No mobile applications contained information for all four conditions. CONCLUSIONS There is limited depiction of dermatological conditions in darker skin tones within mobile applications aimed at educational students and professionals in dermatology.


2021 ◽  
Author(s):  
Nada Derkaoui ◽  
Yakhlef Salma Ben ◽  
Rami Imane ◽  
Ouafae Elmehraoui ◽  
Messaoudi Najoua ◽  
...  

Author(s):  
Wojciech Szypowski ◽  
Karolina Kunecka ◽  
Beata Zduńczyk ◽  
Katarzyna Piechowiak ◽  
Maria Dyczek ◽  
...  

AbstractBackground:As exchange counting poses difficulty for children with type 1 diabetes (T1D) attending diabetes camps, they often guesstimate food amount without performing an exchange calculation. The aim of the study was to compare the accuracy of estimation with exchange counting using the mobile food exchange calculator (MFEC).Methods:During a summer camp, 25 children with T1D on pumps estimated the number of carbohydrate (CE) and fat/protein exchanges (FPE) appropriate for main meals. Afterwards, the number of exchanges was counted with MFEC and electronic scales.Results:There was a difference between CE (p<0.0001) and FPE (p<0.0001) estimations and counting using MFEC. The youth miscalculated the true values of ≥1 CE and ≥1 FPE by 31% and 23%, respectively. They more often underestimated than overestimated CE and FPE (p<0.0001). The estimation error increased with younger age.Conclusions:Carbohydrate counting caused significant error in the exchange number. The use of MFEC facilitates correct exchange calculation. Patients should weigh food and calculate exchanges themselves using mobile applications.


2016 ◽  
Vol 40 (5) ◽  
pp. S65-S66
Author(s):  
Caitlin Nunn ◽  
Michael Rotondi ◽  
Shivani Goyal ◽  
Sally Reiser ◽  
Angelo Simone ◽  
...  

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