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Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes.

ABSTRACT: BACKGROUND:Decision support smartphone applications integrated with continuous glucose monitors may improve glycemic control in type 1 diabetes (T1D). We conducted a survey to understand trends and needs of potential users to inform the design of decision support technology. METHODS:A 70-question survey was distributed October 2017 through May 2018 to adults aged 18-80 with T1D from a specialty clinic and T1D Exchange online health community (myglu.org). The survey responses were used to evaluate potential features of a diabetes decision support tool by Likert scale and open responses. RESULTS:There were 1542 responses (mean age 46.1 years [SD 15.2], mean duration of diabetes 26.5 years [SD 15.8]). The majority (84.2%) have never used an app to manage diabetes; however, a large majority (77.8%) expressed interest in using a decision support app. The ability to predict and avoid hypoglycemia was the most important feature identified by a majority of the respondents, with 91% of respondents indicating the highest level of interest in these features. The task that respondents find most difficult was management of glucose during exercise (only 47% of participants were confident in glucose management during exercise). The respondents also highly desired features that help manage glucose during exercise (85% of respondents were interested). The responses identified integration and interoperability with peripheral devices/apps and customization of alerts as important. Responses from participants were generally consistent across stratified categories. CONCLUSIONS:These results provide valuable insight into patient needs in decision support applications for management of T1D.

SUBMITTER: Wilson LM

PROVIDER: S-EPMC7645130 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes.

Wilson Leah M LM Tyler Nichole N Jacobs Peter G PG Gabo Virginia V Senf Brian B Reddy Ravi R Castle Jessica R JR

Journal of diabetes science and technology 20190823 6

<h4>Background</h4>Decision support smartphone applications integrated with continuous glucose monitors may improve glycemic control in type 1 diabetes (T1D). We conducted a survey to understand trends and needs of potential users to inform the design of decision support technology.<h4>Methods</h4>A 70-question survey was distributed October 2017 through May 2018 to adults aged 18-80 with T1D from a specialty clinic and T1D Exchange online health community (myglu.org). The survey responses were ...[more]

PMID: 31441336

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Project description:PurposeInformation technology (IT)-based interventions, especially mobile health (mHealth), possess a great potential for promoting self-management in patients with chronic diseases, including diabetes type II. The present study was aimed to design and develop a smartphone-based application (app) for nutrition management in patients with type II diabetes and evaluation of its usability.MethodsIn this study, a three-phase research approach was followed; (1) To determine the information content and functionalities of the app, a five-point Likert scale checklist including six parts was developed based on reviews of clinical practice guidelines and specialized databases. The checklist was then given to ten experts in endocrinology and metabolism, internal medicine, and nutrition, and those items with a mean score higher than 3.75 were approved. (2) In Android Studio, the app was designed and developed using Java language. (3) The Questionnaire for User Interaction Satisfaction (QUIS) was used to assess the app's usability by 21 patients with type II diabetes, ten IT experts, and seven endocrinologists, internal medicine practitioners, and nutritionists over one month. Mean scores were divided into three levels: weak (0-3), average (3-6), and good (6-9).ResultsAccording to experts' view, 17 out of 22 educational content and 17 out of 27 functionalities were approved. The app's most important educational content was the timing of meals for insulin patients and the definition of diabetes and its complications. The designed app had the following functionalities: providing educational information, recording information, performing calculations, representing data graphically, setting reminders, and communicating with physicians. The most important features of the app were the insulin dose calculation, reminders for doctors' appointments, setting times for tests and blood glucose measurements, and also tracking weight, blood glucose levels, and blood pressure. In terms of usability evaluation, the app was rated "good" level by diabetic patients (7.83 ± 0.74), IT experts (8.1 ± 0.66), and physicians (8.03 ± 0.95).ConclusionGiven the desirable evaluation of the app by patients, physicians, and IT experts, it can be concluded that the developed app has the required functionalities for nutrition management of patients with type II diabetes. Smartphone-based apps appear to be able to improve self-management, the quality of care and health in patients with diabetes, and reduce many of their unnecessary visits to healthcare centers, and costs.Supplementary informationThe online version contains supplementary material available at 10.1007/s40200-022-01140-x.

Project description:BackgroundNo more than 10-15% of type 2 diabetes mellitus (T2DM) patients achieve all treatment goals regarding glycaemic control, lipids and blood pressure. Shared decision making (SDM) should increase that percentage; however, not all support decision tools are appropriate. Because the ADDITION-Europe study demonstrated two (almost) equally effective treatments but with slightly different intensities, it may be a good starting point to discuss with the patients their diabetes treatment, taking into account both the intensity of treatment, clinical factors and patients' preferences. We aim to evaluate whether such an approach increases the proportion of patients that achieve all three treatment goals.MethodsIn a cluster-randomised trial including 40 general practices, that participated until 2009 in the ADDITION Study, 150 T2DM patients 60-80 years, known with T2DM for 8-15 years, will be included. Practices are randomised a second time, i.e. intervention practices in the ADDITION study could be control practices in the current study and vice versa. For the GPs from the intervention group a 2-hour training in SDM was developed as well as a decision support tool to be used during the consultation. GPs plan the first visit with the patients to decide on the intensity of the treatment, personalised targets and the priorities of treatment. The control group will continue with the treatment they were allocated to in the ADDITION study.Follow-up24 months. The primary outcome is the proportion of patients who achieve all three treatment goals. Secondary outcomes are the proportion of patients who achieve five treatment goals (HbA1c, blood pressure, total cholesterol, body weight, not smoking), evaluation of the SDM process (SDM-Q9 and CPS), satisfaction with the treatment (DTSQ), wellbeing and quality of life (W-BQ12, ADD QoL-19), health status (SF-36, EQ-5D) and coping (DCMQ). The proportions of achieved treatment goals will be compared between both groups. For the secondary outcomes mixed models will be used. The Medical Research Ethics Committee of the University Medical Centre Utrecht has approved the study protocol (Protocol number: 11-153).DiscussionThis trial will provide evidence whether an intervention with a multi-faceted decision support tool increases the proportion of achieved personalised goals in type 2 diabetes patients.Trial registrationNCT02285881, November 4, 2014.

Project description:BackgroundHealth care providers aim to stimulate self-management in type 2 diabetes (T2DM) patients. However, they have a limited number of patient contacts to do this. With the growing number of T2DM patients, innovative and cost-effective interventions to promote self-management are needed. We aim to evaluate the effectiveness of diabetes self-management education via a smartphone app in T2DM patients on insulin therapy.MethodsNon-blinded two-arm multi-centre randomised controlled superiority trial with parallel-groups and equal randomisation ('TRIGGER study'). Eligible patients are 40-70 years, on insulin therapy since at least 3 months, with HbA1c > 53 mmol/mol (> 7%). In total 228 patients will be recruited. The intervention group (n = 114) will receive diabetes self-management education via a smartphone app to trigger diabetes self-management: unidirectional text messages, free of charge, evidence and psychological theory based, with regard to dietary habits, physical activity, hypoglycaemia and glucose variability. Patients choose their preferred frequency (two to six times per week), topics (two or three additionally to hypoglycaemia, which is an obligatory topic), and duration (6 or 9 months). The control group (n = 114) will receive care-as-usual. The primary study endpoint is the HbA1c level after a follow-up of 6 months. The percentage of patients who achieve an HbA1c level ≤ 53 mmol/mol (≤7%) without hypoglycaemia (plasma glucose < 3.5 mmol/L (< 63 mg/dL)) is a co-primary outcome. Secondary outcomes are body mass index, waist circumference, insulin dose, lipid profile, blood pressure, number of hypoglycaemic events, glycaemic variability, self-management (SDSCA), food habits (FFQ), physical activity (IPAQ), health status (EQ-5D-5 L, SF36), diabetes-dependent quality of life (ADDQoL), diabetes treatment satisfaction (DTSQ), satisfaction with the app, the cost-effectiveness of the intervention after 3 months, and sustainability of the intervention effect (3 months extra follow-up in intervention group to compare prolonged to discontinued use of the app). We will use the intention-to-treat principle to analyse data.DiscussionInnovative solutions are needed to improve the (cost-) effectiveness of self-management for the increasing number of T2DM patients. This trial will provide evidence on the effectiveness of a newly developed smartphone app, designed to trigger diabetes self-management.Trial registrationDutch Trial Register NTR5515 , registration date: 18 November 2015 (prospectively registered).

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Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes.

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Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes.

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