Literature DB >> 31890658

Determining minimum set of features for diabetes mobile apps.

Raheleh Salari1, Sharareh R Niakan Kalhori1, Farhad Fatehi2,3, Marjan Ghazisaeedi1, Mahin Nazari4.   

Abstract

PURPOSE: Interest in mobile health applications (apps) for diabetes self-care is growing. Mobile health is a promising new treatment modality for diabetes, though few smartphone apps have been designed based on a proper study and prioritization. The aim of this study was to determine a minimum set of features for diabetes mobile apps.
METHODS: This study was conducted in three steps: 1.A review of the literature to collect all available features, 2. Assessing the validity of suggested features by Content Validity Index (CVI) and Content Validity Ratio (CVR), 3. Examining the importance of features by Friedman test.
RESULTS: We retrieved all features of available mobile apps for type 2 diabetes, which are suggested and discussed in literature and compiled as a single list comprising of 33 features. Then, a survey of expert's opinion produced a set of 23 final minimum features which includes all types of tracking, mealtime tagging, food database, diet management, educational materials, healthy coping, reducing risks, problem solving, Email, color coding, alerts, reminder, target range setting, trend chart view, logbook view, numerical indicators view, customizable theme, preset notes, and custom notes. According to the mean rank which indicates the priority of each feature, the most important one was blood glucose tracking (with 16.71 mean rank) and the least important feature was the numerical indicators like such as standard deviation or average (with 6.50 mean rank).
CONCLUSIONS: The present study is the first step towards the development of our mobile apps for people with type II diabetes, and highest the essential features that are required for an optimal self-care comprehensively. © Springer Nature Switzerland AG 2019.

Entities:  

Keywords:  Features; Mobile health; Smartphone apps; Type 2 diabetes; mHealth

Year:  2019        PMID: 31890658      PMCID: PMC6914742          DOI: 10.1007/s40200-019-00417-y

Source DB:  PubMed          Journal:  J Diabetes Metab Disord        ISSN: 2251-6581


  30 in total

1.  Features of the Chronic Care Model (CCM) associated with behavioral counseling and diabetes care in community primary care.

Authors:  Pamela A Ohman Strickland; Shawna V Hudson; Alicja Piasecki; Karissa Hahn; Deborah Cohen; A John Orzano; Michael L Parchman; Benjamin F Crabtree
Journal:  J Am Board Fam Med       Date:  2010 May-Jun       Impact factor: 2.657

2.  More than half of diabetes patients are not getting standard health checks.

Authors:  Ingrid Torjesen
Journal:  BMJ       Date:  2012-05-14

Review 3.  The impact of mobile health interventions on chronic disease outcomes in developing countries: a systematic review.

Authors:  Andrea Beratarrechea; Allison G Lee; Jonathan M Willner; Eiman Jahangir; Agustín Ciapponi; Adolfo Rubinstein
Journal:  Telemed J E Health       Date:  2013-11-08       Impact factor: 3.536

4.  Management of type 2 diabetes: NICE guidelines.

Authors:  Latika Sibal; Philip D Home
Journal:  Clin Med (Lond)       Date:  2009-08       Impact factor: 2.659

Review 5.  The promise and peril of mobile health applications for diabetes and endocrinology.

Authors:  Donna S Eng; Joyce M Lee
Journal:  Pediatr Diabetes       Date:  2013-04-30       Impact factor: 4.866

Review 6.  Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review.

Authors:  Helen Fu; Siobhan K McMahon; Cynthia R Gross; Terrence J Adam; Jean F Wyman
Journal:  Diabetes Res Clin Pract       Date:  2017-06-21       Impact factor: 5.602

7.  Adherence to evidence-based guidelines among diabetes self-management apps.

Authors:  Jessica Y Breland; Vivian M Yeh; Jessica Yu
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

8.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

Review 9.  Diabetes Care in the Digital Era: a Synoptic Overview.

Authors:  Farhad Fatehi; Anish Menon; Dominique Bird
Journal:  Curr Diab Rep       Date:  2018-05-10       Impact factor: 4.810

Review 10.  Popular Glucose Tracking Apps and Use of mHealth by Latinos With Diabetes: Review.

Authors:  John Patrick Williams; Dirk Schroeder
Journal:  JMIR Mhealth Uhealth       Date:  2015-08-25       Impact factor: 4.773

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  6 in total

1.  The predictors of the use of complementary and alternative medicine among type 2 diabetes patients based on the health belief model.

Authors:  Hadi Tehrani; Niloufar Dadashi; Davood Movahedzadeh; Elham Charoghchian Khorasani; Alireza Jafari
Journal:  J Diabetes Metab Disord       Date:  2022-01-11

Review 2.  Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis.

Authors:  Jacqueline Louise Mair; Tobias Kowatsch; Roman Keller; Sven Hartmann; Gisbert Wilhelm Teepe; Kim-Morgaine Lohse; Aishah Alattas; Lorainne Tudor Car; Falk Müller-Riemenschneider; Florian von Wangenheim
Journal:  J Med Internet Res       Date:  2022-01-07       Impact factor: 5.428

3.  mHealth Applications to Monitor Lifestyle Behaviors and Circadian Rhythm in Clinical Settings: Current Perspective and Future Directions.

Authors:  Iolanda Rosa; Marlene Lages; Carlos Grilo; Renata Barros; Maria P Guarino
Journal:  Front Public Health       Date:  2022-07-18

4.  Investigation of attitude, awareness, belief, and practice of complementary and alternative medicine among type 2 diabetic patients: a cross sectional study.

Authors:  Alireza Jafari; Davood Movahedzadeh; Fatemeh Ramezani Barsalani; Hadi Tehrani
Journal:  J Diabetes Metab Disord       Date:  2021-02-22

5.  A Comprehensive 6A Framework for Improving Patient Self-Management of Hypertension Using mHealth Services: Qualitative Thematic Analysis.

Authors:  Ting Song; Fang Liu; Ning Deng; Siyu Qian; Tingru Cui; Yingping Guan; Leonard Arnolda; Zhenyu Zhang; Ping Yu
Journal:  J Med Internet Res       Date:  2021-06-21       Impact factor: 5.428

6.  Mobile-Based and Cloud-Based System for Self-management of People With Type 2 Diabetes: Development and Usability Evaluation.

Authors:  Raheleh Salari; Sharareh R Niakan Kalhori; Marjan GhaziSaeedi; Marjan Jeddi; Mahin Nazari; Farhad Fatehi
Journal:  J Med Internet Res       Date:  2021-06-02       Impact factor: 5.428

  6 in total

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