scholarly journals Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study

10.2196/11400 ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. e11400 ◽  
Author(s):  
Yiyu Zhang ◽  
Xia Li ◽  
Shuoming Luo ◽  
Chaoyuan Liu ◽  
Fang Liu ◽  
...  
2021 ◽  
Vol 8 (3) ◽  
pp. 244
Author(s):  
Latika Rohilla ◽  
Devi Dayal ◽  
Prahbhjot Malhi ◽  
Bhavneet Bharti ◽  
Sukhpal Kaur ◽  
...  

<p class="abstract"><strong>Background:</strong> Diabetes education is the key to successful diabetes management. There is a need for an education module for type 1 diabetes (T1D) that is culture-specific and suited to resource constraints.</p><p class="abstract"><strong>Methods:</strong> A mixed-methods study will be conducted, in three phases, to develop and evaluate a culturally tailored diabetes education module for Indian children with T1D and their families. During the first phase, a qualitative study among health professionals and families of children with T1D for need assessment will be conducted. During the second phase, based on the themes from the last phase, an educational module will be developed. The third phase will involve an evaluation of the content, feasibility and effectiveness of the proposed module. The content evaluation will be done using the standardized 'suitability assessment of materials' checklist. For feasibility, a mixed-method approach will be used with iterative cycles of satisfaction scale, semi-structured interview and feasibility and observation checklist. The module will be revised after each cycle till no new changes are suggested. The effectiveness will be assessed by a quasi-experimental controlled trial assessing glycemic control, health-related quality of life, clinically important events and self-management practices in T1D children at baseline and three and six months.</p><p class="abstract"><strong>Conclusions: </strong>This study aims at development and validation of a novel culturally tailored diabetes education module for children with T1D, suited to their resource constraints. A module designed with the inputs from all stakeholders, and evaluated using iterative cycles, has the potential to suit the dynamic nature of diabetes management in children.</p><p class="abstract"><strong>Trial registration:</strong> Trial registration number is CTRI/2021/04/032739.</p>


10.2196/22074 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e22074
Author(s):  
Jeffrey E Alfonsi ◽  
Elizabeth E Y Choi ◽  
Taha Arshad ◽  
Stacie-Ann S Sammott ◽  
Vanita Pais ◽  
...  

Background Carbohydrate counting is an important component of diabetes management, but it is challenging, often performed inaccurately, and can be a barrier to optimal diabetes management. iSpy is a novel mobile app that leverages machine learning to allow food identification through images and that was designed to assist youth with type 1 diabetes in counting carbohydrates. Objective Our objective was to test the app's usability and potential impact on carbohydrate counting accuracy. Methods Iterative usability testing (3 cycles) was conducted involving a total of 16 individuals aged 8.5-17.0 years with type 1 diabetes. Participants were provided a mobile device and asked to complete tasks using iSpy app features while thinking aloud. Errors were noted, acceptability was assessed, and refinement and retesting were performed across cycles. Subsequently, iSpy was evaluated in a pilot randomized controlled trial with 22 iSpy users and 22 usual care controls aged 10-17 years. Primary outcome was change in carbohydrate counting ability over 3 months. Secondary outcomes included levels of engagement and acceptability. Change in HbA1c level was also assessed. Results Use of iSpy was associated with improved carbohydrate counting accuracy (total grams per meal, P=.008), reduced frequency of individual counting errors greater than 10 g (P=.047), and lower HbA1c levels (P=.03). Qualitative interviews and acceptability scale scores were positive. No major technical challenges were identified. Moreover, 43% (9/21) of iSpy participants were still engaged, with usage at least once every 2 weeks, at the end of the study. Conclusions Our results provide evidence of efficacy and high acceptability of a novel carbohydrate counting app, supporting the advancement of digital health apps for diabetes care among youth with type 1 diabetes. Further testing is needed, but iSpy may be a useful adjunct to traditional diabetes management. Trial Registration ClinicalTrials.gov NCT04354142; https://clinicaltrials.gov/ct2/show/NCT04354142


Diabetes Care ◽  
2013 ◽  
Vol 37 (2) ◽  
pp. 346-354 ◽  
Author(s):  
M. E. Hilliard ◽  
J. G. Perlus ◽  
L. M. Clark ◽  
D. L. Haynie ◽  
L. P. Plotnick ◽  
...  

2017 ◽  
Vol 25 (3) ◽  
pp. 172-180 ◽  
Author(s):  
Bree E Holtz ◽  
Katharine M Murray ◽  
Denise D Hershey ◽  
Joshua Richman ◽  
Julie K Dunneback ◽  
...  

Introduction Type 1 diabetes impacts approximately 1.25 m Americans, many of them young children. As a child grows, there is a transition towards independence and they must learn to manage their diabetes independently. The objective of this study was to design, develop and conduct a prototype test to assess the satisfaction and feasibility of a mobile app for adolescents with type 1 diabetes and their parents to aid in this transition. Methods Ten parent/adolescent groups used MyT1DHero for four weeks. They were given a pre-test/post-test survey regarding family conflict with three tasks of diabetes management and the general tone of family communication. At post-test they were asked questions regarding their satisfaction and perception of ease of use of the app. They also participated in short interviews regarding the app. Additionally, we used server data to examine actual app usage. Results The parents’ perceptions of conflict around the results of the blood sugar tests increased ( t(9) = 2.71, p = .02) as did perceptions of conflict around logging the blood sugar results ( t(9) = 3.67, p = .005). The adolescents perceived increased conflict surrounding the results around logging the blood sugars results ( t(9) = 3.09, p = .01).There was no change in the tone of general family communication. During the prototype testing, we discovered that the app crashed repeatedly and several of the functions were not working properly. In the interview data, three main themes emerged, app-crashing issues, problems with notifications and positive feedback. Discussion Through this process, all of the reported issues were corrected and new features were planned for subsequent versions. A smartphone application has the potential to be a novel intervention for engaging adolescents and their parents in positive communication to support type 1 diabetes management.


JMIR Diabetes ◽  
2017 ◽  
Vol 2 (2) ◽  
pp. e29 ◽  
Author(s):  
Ashley H Ng ◽  
Timothy C Crowe ◽  
Kylie Ball ◽  
Bodil Rasmussen

2020 ◽  
Author(s):  
Jeffrey E Alfonsi ◽  
Elizabeth E Y Choi ◽  
Taha Arshad ◽  
Stacie-Ann S Sammott ◽  
Vanita Pais ◽  
...  

BACKGROUND Carbohydrate counting is an important component of diabetes management, but it is challenging, often performed inaccurately, and can be a barrier to optimal diabetes management. iSpy is a novel mobile app that leverages machine learning to allow food identification through images and that was designed to assist youth with type 1 diabetes in counting carbohydrates. OBJECTIVE Our objective was to test the app's usability and potential impact on carbohydrate counting accuracy. METHODS Iterative usability testing (3 cycles) was conducted involving a total of 16 individuals aged 8.5-17.0 years with type 1 diabetes. Participants were provided a mobile device and asked to complete tasks using iSpy app features while thinking aloud. Errors were noted, acceptability was assessed, and refinement and retesting were performed across cycles. Subsequently, iSpy was evaluated in a pilot randomized controlled trial with 22 iSpy users and 22 usual care controls aged 10-17 years. Primary outcome was change in carbohydrate counting ability over 3 months. Secondary outcomes included levels of engagement and acceptability. Change in HbA<sub>1c</sub> level was also assessed. RESULTS Use of iSpy was associated with improved carbohydrate counting accuracy (total grams per meal, <i>P</i>=.008), reduced frequency of individual counting errors greater than 10 g (<i>P</i>=.047), and lower HbA<sub>1c</sub> levels (<i>P</i>=.03). Qualitative interviews and acceptability scale scores were positive. No major technical challenges were identified. Moreover, 43% (9/21) of iSpy participants were still engaged, with usage at least once every 2 weeks, at the end of the study. CONCLUSIONS Our results provide evidence of efficacy and high acceptability of a novel carbohydrate counting app, supporting the advancement of digital health apps for diabetes care among youth with type 1 diabetes. Further testing is needed, but iSpy may be a useful adjunct to traditional diabetes management. CLINICALTRIAL ClinicalTrials.gov NCT04354142; https://clinicaltrials.gov/ct2/show/NCT04354142


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