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Usability diabetes app

Andrea L Hartzler, Anusha Venkatakrishnan, Shiwali Mohan, Michael Silva, Paula Lozano, James D Ralston, Evette Ludman, Dori Rosenberg, Katherine M Newton, Lester Nelson, Peter Pirolli, Andrea L Hartzler, Anusha Venkatakrishnan, Shiwali Mohan, Michael Silva, Paula Lozano, James D Ralston, Evette Ludman, Dori Rosenberg, Katherine M Newton, Lester Nelson, Peter Pirolli, Dori Rosenberg, James D Ralston, Evette Ludman, Katherine M Newton, Lester Nelson, Anusha Venkatakrishnan, Shiwali Mohan, Michael Silva, Paula Lozano, Peter Pirolli, Andrea L Hartzler
With increased incidence of chronic illnesses arising due to unhealthy lifestyle habits, it is increasingly important to leverage technology applications to promote and sustain health behavior change. We developed a smartphone-based application, NutriWalking (NW), which recommends personalized daily exercise goals and promotes healthy nutritional habits in small peer teams. Here, we demonstrate an early study of usability and acceptability of this app in patients with type 2 Diabetes Mellitus and Depression...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Fiona H McKay, Christina Cheng, Annemarie Wright, Jane Shill, Hugh Stephens, Mary Uccellini
INTRODUCTION: Increasing smartphones access has allowed for increasing development and use of smart phone applications (apps). Mobile health interventions have previously relied on voice or text-based short message services (SMS), however, the increasing availability and ease of use of apps has allowed for significant growth of smartphone apps that can be used for health behaviour change. This review considers the current body of knowledge relating to the evaluation of apps for health behaviour change...
October 18, 2016: Journal of Telemedicine and Telecare
Brigid A Knight, H David McIntyre, Ingrid J Hickman, Marina Noud
BACKGROUND: Modern flexible multiple daily injection (MDI) therapy requires people with diabetes to manage complex mathematical calculations to determine insulin doses on a day to day basis. Automated bolus calculators assist with these calculations, add additional functionality to protect against hypoglycaemia and enhance the record keeping process, however uptake and use depends on the devices meeting the needs of the user. We aimed to obtain user feedback on the usability of a mobile phone bolus calculator application in adults with T1DM to inform future development of mobile phone diabetes support applications...
September 15, 2016: BMC Medical Informatics and Decision Making
Urmimala Sarkar, Gato I Gourley, Courtney R Lyles, Lina Tieu, Cassidy Clarity, Lisa Newmark, Karandeep Singh, David W Bates
BACKGROUND: Mobile applications or 'apps' intended to help people manage their health and chronic conditions are widespread and gaining in popularity. However, little is known about their acceptability and usability for low-income, racially/ethnically diverse populations who experience a disproportionate burden of chronic disease and its complications. OBJECTIVE: The objective of this study was to investigate the usability of existing mobile health applications ("apps") for diabetes, depression, and caregiving, in order to facilitate development and tailoring of patient-facing apps for diverse populations...
December 2016: Journal of General Internal Medicine
Craig Harvey, Richard Koubek, Vanessa Bégat, Stephan Jacob
BACKGROUND: Proper management of diabetes mellitus requires regular self-monitoring of blood glucose (SMBG). This research evaluated the usability of the Accu-Chek® Guide Meter that includes a spill-resistant vial, easier strip handling, and wireless connectivity to a mobile app. METHODS: A total of 197 participants were allowed to experience typical blood glucose testing tasks on the Accu-Chek Guide Meter, review data such as last result, patterns, and target percentage on the meter and on the mobile app, and then evaluate their experience through a human factors usability survey...
September 2016: Journal of Diabetes Science and Technology
Eunjoo Jeon, Hyeoun-Ae Park, Soojung Jo, Hannah Kang, Joo Yun Lee
OBJECTIVES: This study developed and evaluated four mobile applications (apps) that provide tailored nursing recommendations for metabolic syndrome management. METHODS: Mobile apps for obesity, gestational diabetes, hypertension, and hyperlipidemia management were developed according to the system development life cycle and evaluations by experts and users. RESULTS: Six lifestyle management and five disease-specific knowledge domains were extracted...
2016: Studies in Health Technology and Informatics
Daniel Rhyner, Hannah Loher, Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik, Ransford Henry Botwey, David Duke, Christoph Stettler, Peter Diem, Stavroula Mougiakakou
BACKGROUND: Diabetes mellitus is spreading throughout the world and diabetic individuals have been shown to often assess their food intake inaccurately; therefore, it is a matter of urgency to develop automated diet assessment tools. The recent availability of mobile phones with enhanced capabilities, together with the advances in computer vision, have permitted the development of image analysis apps for the automated assessment of meals. GoCARB is a mobile phone-based system designed to support individuals with type 1 diabetes during daily carbohydrate estimation...
May 11, 2016: Journal of Medical Internet Research
Maša Isaković, Urban Sedlar, Mojca Volk, Janez Bešter
Diabetes mellitus has high prevalence in the ageing population and is often accompanied by other comorbidities, such as Alzheimer's disease, and general disabilities, such as poor eyesight. These comorbidities have redefined ways in which patients use mHealth apps, including diabetes apps. The latter have proven benefits for monitoring blood glucose levels and insulin tracking in the general population. In this paper, we analyse a diabetes monitoring app DeStress Assistant (DeSA), which was developed as a part of an EU project and tested in a hospital setting...
2016: Journal of Diabetes Research
Begoña Garcia-Zapirain, Isabel de la Torre Díez, Beatriz Sainz de Abajo, Miguel López-Coronado
OBJECTIVE: The main objective of this research was to develop and evaluate a Web-based mobile application (app) known as "Diario Diabetes" on both a technical and user level, by means of which individuals with diabetes may monitor their illness easily at any time and in any place using any device that has Internet access. METHODS: The technologies used to develop the app were HTML, CSS, JavaScript, PHP, and MySQL, all of which are an open source. Once the app was developed, it was evaluated on a technical level (by measuring loading times) and on a user level, through a survey...
September 2016: Telemedicine Journal and E-health: the Official Journal of the American Telemedicine Association
Andrea Basilico, Sara Marceglia, Stefano Bonacina, Francesco Pinciroli
BACKGROUND: There has been a dramatic increase in mobile apps for diabetes self-care. However, their quality is not guaranteed and patients do not have the appropriate tools for careful evaluation. OBJECTIVE: This work aims to propose a tool to help patients with diabetes select an appropriate app for self-care. METHODS: After identifying the conceptual framework of diabetes self-care, we searched Apple US app store and reviewed diabetes self-care apps, considering both generic and diabetes-specific features...
April 1, 2016: Computers in Biology and Medicine
Soojung Jo, Hyeoun-Ae Park
OBJECTIVES: The purpose of this study was to develop and evaluate an application (app) that provides tailored recommendations based on lifestyle and clinical data entered by the user. METHODS: Knowledge and functions required for the gestational diabetes mellitus (GDM) management app were extracted from clinical practice guidelines and evaluated through an online survey. Common and tailored recommendations were developed and evaluated with a content validity index...
January 2016: Healthcare Informatics Research
Kathryn Mercer, Lora Giangregorio, Eric Schneider, Parmit Chilana, Melissa Li, Kelly Grindrod
BACKGROUND: Physical inactivity and sedentary behavior increase the risk of chronic illness and death. The newest generation of "wearable" activity trackers offers potential as a multifaceted intervention to help people become more active. OBJECTIVE: To examine the usability and usefulness of wearable activity trackers for older adults living with chronic illness. METHODS: We recruited a purposive sample of 32 participants over the age of 50, who had been previously diagnosed with a chronic illness, including vascular disease, diabetes, arthritis, and osteoporosis...
2016: JMIR MHealth and UHealth
Kelli Hale, Sandra Capra, Judith Bauer
BACKGROUND: This paper presents an approach to assist health professionals in recommending high quality apps for supporting chronic disease self-management. Most app reviews focus on popularity, aesthetics, functionality, usability, and information quality. There is no doubt these factors are important in selecting trustworthy apps which are appealing to users, but behavioral theory may be also be useful in matching the apps to user needs. OBJECTIVE: The framework developed aims to be methodologically sound, capable of selecting popular apps which include content covered by evidence-based programs, consistent with behavioral theory, as well as a patient-centered approach for matching apps to patients' individual needs...
2015: JMIR MHealth and UHealth
Sanne van der Weegen, Renée Verwey, Marieke Spreeuwenberg, Huibert Tange, Trudy van der Weijden, Luc de Witte
BACKGROUND: Physical activity is an important aspect in the treatment of patients with chronic obstructive pulmonary disease or type-2 diabetes. A monitoring and feedback tool combined with guidance by a primary care provider might be a successful method to enhance the level of physical activity in these patients. As a prerequisite for useful technology, it is important to involve the end-users in the design process from an early stage. OBJECTIVE: The aim of this study was to investigate the user requirements for a tool to stimulate physical activity, embedded in primary care practice...
2013: JMIR MHealth and UHealth
Madlen Arnhold, Mandy Quade, Wilhelm Kirch
BACKGROUND: A multitude of mhealth (mobile health) apps have been developed in recent years to support effective self-management of patients with diabetes mellitus type 1 or 2. OBJECTIVE: We carried out a systematic review of all currently available diabetes apps for the operating systems iOS and Android. We considered the number of newly released diabetes apps, range of functions, target user groups, languages, acquisition costs, user ratings, available interfaces, and the connection between acquisition costs and user ratings...
2014: Journal of Medical Internet Research
Sanne van der Weegen, Renée Verwey, Huibert J Tange, Marieke D Spreeuwenberg, Luc P de Witte
INTRODUCTION: A MONITORING AND FEEDBACK TOOL TO STIMULATE PHYSICAL ACTIVITY, CONSISTING OF AN ACTIVITY SENSOR, SMARTPHONE APPLICATION (APP), AND WEBSITE FOR PATIENTS AND THEIR PRACTICE NURSES, HAS BEEN DEVELOPED: the 'It's LiFe!' tool. In this study the usability of the tool was evaluated by technology experts and end users (people with chronic obstructive pulmonary disease or type 2 diabetes, with ages from 40-70 years), to improve the user interfaces and content of the tool. PATIENTS AND METHODS: THE STUDY HAD FOUR PHASES: 1) a heuristic evaluation with six technology experts; 2) a usability test in a laboratory by five patients; 3) a pilot in real life wherein 20 patients used the tool for 3 months; and 4) a final lab test by five patients...
2014: Patient Preference and Adherence
Kenneth D Mandl, Marion McNabb, Norman Marks, Elissa R Weitzman, Skyler Kelemen, Emma M Eggleston, Maryanne Quinn
BACKGROUND AND OBJECTIVE: Malfunctions or poor usability of devices measuring glucose or delivering insulin are reportable to the FDA. Manufacturers submit 99.9% of these reports. We test online social networks as a complementary source to traditional FDA reporting of device-related adverse events. METHODS: Participatory surveillance of members of a non-profit online social network,, from October 2011 to September 2012. Subjects were volunteers from a group within TuDiabetes, actively engaged online in participatory surveillance...
July 2014: Journal of the American Medical Informatics Association: JAMIA
Yi-Zhong Wang, Yu-Guang He, Gina Mitzel, Song Zhang, Mike Bartlett
PURPOSE: Frequency monitoring of age-related macular degeneration (AMD) and diabetic retinopathy (DR) is crucial for timely intervention. This study evaluated a handheld shape discrimination hyperacuity (hSDH) test iPhone app designed for visual function self-monitoring in patients with AMD and DR. METHODS: One hundred subjects (27 visually normal, 37 with AMD, and 36 with DR) were included based on clinical documentation and visual acuity of 20/100 or better. The hSDH test was implemented on the iOS platform...
August 2013: Investigative Ophthalmology & Visual Science
Omar El-Gayar, Prem Timsina, Nevine Nawar, Wael Eid
BACKGROUND: Advancements in smartphone technology coupled with the proliferation of data connectivity has resulted in increased interest and unprecedented growth in mobile applications for diabetes self-management. The objective of this article is to determine, in a systematic review, whether diabetes applications have been helping patients with type 1 or type 2 diabetes self-manage their condition and to identify issues necessary for large-scale adoption of such interventions. METHODS: The review covers commercial applications available on the Apple App Store (as a representative of commercially available applications) and articles published in relevant databases covering a period from January 1995 to August 2012...
January 1, 2013: Journal of Diabetes Science and Technology
Andrew P Demidowich, Kevin Lu, Ronald Tamler, Zachary Bloomgarden
We reviewed diabetes apps for Android smartphones. We compiled a list of free and paid apps in April 2011 by searching the Android Market for apps which could track self-monitoring of blood glucose (SMBG), diabetes medications or calculate prandial insulin dosages. Two reviewers independently evaluated six features per app, using a five-point Likert scale. The sum of the six ratings was the composite usability score, and the mean score of an app's features was the average usability score. Of the 80 Android diabetes apps identified, 42 unique apps were eligible for the study...
June 2012: Journal of Telemedicine and Telecare
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