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Lifestyle
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Enhancing Diabetes Care through a Mobile Application: A Randomized Clinical Trial on Integrating Physical and Mental Health among Disadvantaged Individuals
Jae Hyun Bae, Eun Hee Park, Hae Kyung Lee, Kun Ho Yoon, Kyu Chang Won, Hyun Mi Kim, Sin Gon Kim
Received August 24, 2023  Accepted October 16, 2023  Published online February 2, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0298    [Epub ahead of print]
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  • 109 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study examines integrating physical and mental healthcare for disadvantaged persons with type 2 diabetes mellitus and mild-to-moderate depression in the community, using a mobile application within a public-private-academic partnership.
Methods
The Korean Diabetes Association has developed a mobile application combining behavioral activation for psychological well-being and diabetes self-management, with conventional medical therapy. Participants were randomly assigned to receive the application with usual care or only usual care. Primary outcomes measured changes in psychological status and diabetes selfmanagement through questionnaires at week 12 from the baseline. Secondary outcomes assessed glycemic and lipid control, with psychological assessments at week 16.
Results
Thirty-nine of 73 participants completed the study (20 and 19 in the intervention and control groups, respectively) and were included in the analysis. At week 12, the intervention group showed significant reductions in depression severity and perceived stress compared to the control group. Additionally, they reported increased perceived social support and demonstrated improved diabetes self-care behavior. These positive effects persisted through week 16, with the added benefit of reduced anxiety. While fasting glucose levels in the intervention group tended to improve, no other significant differences were observed in laboratory assessments between the groups.
Conclusion
This study provides compelling evidence for the potential efficacy of a mobile application that integrates physical and mental health components to address depressive symptoms and enhance diabetes self-management in disadvantaged individuals with type 2 diabetes mellitus and depression. Further research involving larger and more diverse populations is warranted to validate these findings and solidify their implications.
Review
Technology/Device
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Present and Future of Digital Health in Diabetes and Metabolic Disease
Sang Youl Rhee, Chiweon Kim, Dong Wook Shin, Steven R. Steinhubl
Diabetes Metab J. 2020;44(6):819-827.   Published online December 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0088
  • 9,605 View
  • 275 Download
  • 20 Web of Science
  • 21 Crossref
AbstractAbstract PDFPubReader   ePub   
The use of information and communication technology (ICT) in medical and healthcare services goes beyond everyday life. Expectations of a new medical environment, not previously experienced by ICT, exist in the near future. In particular, chronic metabolic diseases such as diabetes and obesity, have a high prevalence and high social and economic burden. In addition, the continuous evaluation and monitoring of daily life is important for effective treatment and management. Therefore, the wide use of ICTbased digital health systems is required for the treatment and management of these diseases. In this article, we compiled a variety of digital health technologies introduced to date in the field of diabetes and metabolic diseases.

Citations

Citations to this article as recorded by  
  • Digital Health in Diabetes and Cardiovascular Disease
    Dorothy Avoke, Abdallah Elshafeey, Robert Weinstein, Chang H. Kim, Seth S. Martin
    Endocrine Research.2024; : 1.     CrossRef
  • Weight Management Health Note, a Mobile Health Platform for Obesity Management Developed by the Korean Society for the Study of Obesity
    Yujung Lee, Hyunji Sang, Sunyoung Kim, Doo Ah Choi, Sang Youl Rhee
    Journal of Obesity & Metabolic Syndrome.2024; 33(1): 1.     CrossRef
  • Effectiveness of a Social Networking Site Based Automatic Mobile Message Providing System on Glycemic Control in Patients with Type 2 Diabetes Mellitus
    Kyuho Kim, Jae-Seung Yun, Joonyub Lee, Yeoree Yang, Minhan Lee, Yu-Bae Ahn, Jae Hyoung Cho, Seung-Hyun Ko
    Endocrinology and Metabolism.2024; 39(2): 344.     CrossRef
  • A data-driven approach to manage type 2 diabetes mellitus through digital health: The Klivo Intervention Program protocol (KIPDM)
    Camila Maciel de Oliveira, Luiza Borcony Bolognese, Mercedes Balcells, Davi Casale Aragon, Roberto Luis Zagury, Clemente Nobrega, Chunyu Liu, Dured Dardari
    PLOS ONE.2023; 18(2): e0281844.     CrossRef
  • Public Health Framework for Smart Cities within the Comprehensive Approach to Sustainability in Europe: Case Study of Diabetes
    Luís Velez Lapão, Jorge César Correia, Marija Jevtic
    Sustainability.2023; 15(5): 4269.     CrossRef
  • Lessons for Vietnam on the Use of Digital Technologies to Support Patient-Centered Care in Low- and Middle-Income Countries in the Asia-Pacific Region: Scoping Review
    Leona Kosowicz, Kham Tran, Toan Tran Khanh, Thu Ha Dang, Van An Pham, Hue Ta Thi Kim, Hoang Thi Bach Duong, Tran Dong Nguyen, Anh Tuyet Phuong, Trong Hieu Le, Van Anh Ta, Nilmini Wickramasinghe, Penelope Schofield, John Zelcer, Tuan Pham Le, Tuan Anh Nguy
    Journal of Medical Internet Research.2023; 25: e43224.     CrossRef
  • Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022
    Zareen Thorlu-Bangura, Lydia Poole, Harpreet Sood, Nushrat Khan, Fiona Stevenson, Kamlesh Khunti, Paramjit Gill, Madiha Sajid, Wasim Hanif, Neeraj Bhala, Shivali Modha, Kiran Patel, Ann Blandford, Amitava Banerjee, Mel Ramasawmy
    Journal of Public Health Policy.2023; 44(2): 179.     CrossRef
  • Digital Behavior Change Interventions to Reduce Sedentary Behavior and Promote Physical Activity in Adults with Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
    Xiaoyan Zhang, Xue Qiao, Ke Peng, Shan Gao, Yufang Hao
    International Journal of Behavioral Medicine.2023;[Epub]     CrossRef
  • Exploring the underlying mechanisms of obesity and diabetes and the potential of Traditional Chinese Medicine: an overview of the literature
    Yan-kun Chen, Ting-ting Liu, Farah Khameis Farag Teia, Meng-zhou Xie
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Stakeholders’ Perceptions Regarding Digital Therapeutics Reimbursement in South Korea: Qualitative Study
    Boram Sim, Jin Han Ju, Byungsoo Kim, Jin Yong Lee
    JMIR mHealth and uHealth.2023; 11: e47407.     CrossRef
  • Research Trends in Motivation and Weight Loss: A Bibliometric-Based Review
    Uroš Železnik, Peter Kokol, Jasmina Starc, Danica Železnik, Jernej Završnik, Helena Blažun Vošner
    Healthcare.2023; 11(23): 3086.     CrossRef
  • Analysis of the management and therapeutic performance of diabetes mellitus employing special target
    Hong-Yan Sun, Xiao-Yan Lin
    World Journal of Diabetes.2023; 14(12): 1721.     CrossRef
  • Psychoeducational Interventions in Children and Adolescents with Type-1 Diabetes: A Systematic Review
    Bárbara Luque, Joaquín Villaécija, Rosario Castillo-Mayén, Esther Cuadrado, Sebastián Rubio, Carmen Tabernero
    Clínica y Salud.2022; 33(1): 35.     CrossRef
  • Prevalence of Hyperuricemia Among Chinese Adults: Findings From Two Nationally Representative Cross-Sectional Surveys in 2015–16 and 2018–19
    Mei Zhang, Xiaoxia Zhu, Jing Wu, Zhengjing Huang, Zhenping Zhao, Xiao Zhang, Yu Xue, Weiguo Wan, Chun Li, Wenrong Zhang, Linhong Wang, Maigeng Zhou, Hejian Zou, Limin Wang
    Frontiers in Immunology.2022;[Epub]     CrossRef
  • Blood Pressure Monitoring as a Digital Health Tool for Improving Diabetes Clinical Outcomes: Retrospective Real-world Study
    ‪Yifat Fundoiano-Hershcovitz, Dror Bacher, Marilyn D Ritholz, David L Horwitz, Omar Manejwala, Pavel Goldstein
    Journal of Medical Internet Research.2022; 24(2): e32923.     CrossRef
  • The effectiveness of a structured group education programme for people with established type 2 diabetes in a multi-ethnic population in primary care: A cluster randomised trial
    Helen Dallosso, Panna Mandalia, Laura J. Gray, Yogini V. Chudasama, Sopna Choudhury, Shahrad Taheri, Naina Patel, Kamlesh Khunti, Melanie J. Davies
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(6): 1549.     CrossRef
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • Qatar Diabetes Mobile Application Trial (QDMAT): an open-label randomised controlled trial to examine the impact of using a mobile application to improve diabetes care in type 2 diabetes mellitus—a study protocol
    Noor Suleiman, Meis Alkasem, Zaina Al Amer, Obada Salameh, Noora Al-Thani, Mohammad Khair Hamad, Khaled Baagar, Ibrahem Abdalhakam, Manal Othman, Ragae Dughmosh, Dabia Al-Mohanadi, Ali Al Sanousi, Mohammed Bashir, Odette Chagoury, Shahrad Taheri, Abdul-Ba
    Trials.2022;[Epub]     CrossRef
  • Digital environment: An evolutionary component in environmental health
    Afiqah Syamimi Masrani, Nik Rosmawati Nik Husain
    Journal of Public Health Research.2022; 11(2): 227990362211031.     CrossRef
  • Innovations in Cardio-oncology Resulting from the COVID-19 Pandemic
    Lavanya Kondapalli, Garima Arora, Riem Hawi, Efstathia Andrikopoulou, Courtney Estes, Nirav Patel, Carrie G. Lenneman
    Current Treatment Options in Oncology.2022; 23(9): 1288.     CrossRef
  • Effects of peer support and mobile application-based walking programme on physical activity and physical function in rural older adults: a cluster randomized controlled trial
    Xue Cai, Shanhu Qiu, Dan Luo, Ruxue Li, Chengyu Liu, Yanhui Lu, Cuirong Xu, Mingzi Li
    European Geriatric Medicine.2022; 13(5): 1187.     CrossRef
Original Articles
Obesity and Metabolic Syndrome
Air Pollution Has a Significant Negative Impact on Intentional Efforts to Lose Weight: A Global Scale Analysis
Morena Ustulin, So Young Park, Sang Ouk Chin, Suk Chon, Jeong-taek Woo, Sang Youl Rhee
Diabetes Metab J. 2018;42(4):320-329.   Published online April 24, 2018
DOI: https://doi.org/10.4093/dmj.2017.0104
  • 4,576 View
  • 41 Download
  • 6 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   
Background

Air pollution causes many diseases and deaths. It is important to see how air pollution affects obesity, which is common worldwide. Therefore, we analyzed data from a smartphone application for intentional weight loss, and then we validated them.

Methods

Our analysis was structured in two parts. We analyzed data from a cohort registered to a smartphone application in 10 large cities of the world and matched it with the annual pollution values. We validated these results using daily pollution data in United States and matching them with user information. Body mass index (BMI) variation between final and initial login time was considered as outcome in the first part, and daily BMI in the validation. We analyzed: daily calories intake, daily weight, daily physical activity, geographical coordinates, seasons, age, gender. Weather Underground application programming interface provided daily climatic values. Annual and daily values of particulate matter PM10 and PM2.5 were extracted. In the first part of the analysis, we used 2,608 users and then 995 users located in United States.

Results

Air pollution was highest in Seoul and lowest in Detroit. Users decreased BMI by 2.14 kg/m2 in average (95% confidence interval, −2.26 to −2.04). From a multilevel model, PM10 (β=0.04, P=0.002) and PM2.5 (β=0.08, P<0.001) had a significant negative effect on weight loss when collected per year. The results were confirmed with the validation (βAQI*time=1.5×10–5; P<0.001) by mixed effects model.

Conclusion

This is the first study that shows how air pollution affects intentional weight loss applied on wider area of the world.

Citations

Citations to this article as recorded by  
  • What could be the reasons for not losing weight even after following a weight loss program?
    Jyoti Dabas, S. Shunmukha Priya, Akshay Alawani, Praveen Budhrani
    Journal of Health, Population and Nutrition.2024;[Epub]     CrossRef
  • Subchronic exposure to 1,2-naphthoquinone induces adipose tissue inflammation and changes the energy homeostasis of mice, partially due to TNFR1 and TLR4
    Clílton Kraüss de Oliveira Ferreira, Clara Machado Campolim, Olívia Pizetta Zordão, Fernando Moreira Simabuco, Chadi Pellegrini Anaruma, Rodrigo Martins Pereira, Vitor Ferreira Boico, Luiz Guilherme Salvino, Maíra Maftoum Costa, Nathalia Quintero Ruiz, Le
    Toxicology Reports.2023; 11: 10.     CrossRef
  • Effects of Ambient Particulate Matter (PM2.5) Exposure on Calorie Intake and Appetite of Outdoor Workers
    Thavin Kumar Mathana Sundram, Eugenie Sin Sing Tan, Hwee San Lim, Farahnaz Amini, Normina Ahmad Bustami, Pui Yee Tan, Navedur Rehman, Yu Bin Ho, Chung Keat Tan
    Nutrients.2022; 14(22): 4858.     CrossRef
  • Efficiency in reducing air pollutants and healthcare expenditure in the Seoul Metropolitan City of South Korea
    Subal C. Kumbhakar, Jiyeon An, Masoomeh Rashidghalam, Almas Heshmati
    Environmental Science and Pollution Research.2021; 28(20): 25442.     CrossRef
  • Seasonal variation and trends in the Internet searches for losing weight: An infodemiological study
    Ying Teng, Shun-Wei Huang, Zhen Li, Qiao-Mei Xie, Man Zhang, Qiu-Yue Lou, Fang Wang, Yan-Feng Zou
    Obesity Research & Clinical Practice.2020; 14(3): 225.     CrossRef
  • Estimation of health benefits from air quality improvement using the MODIS AOD dataset in Seoul, Korea
    Daeun Kim, Jeongyeong Kim, Jaehwan Jeong, Minha Choi
    Environmental Research.2019; 173: 452.     CrossRef
  • Appropriate Medical Technology in the Era of the 4th Industrial Revolution
    Sang Youl Rhee
    The Korean Journal of Medicine.2019; 94(5): 387.     CrossRef
  • Can Air Pollution Biologically Hinder Efforts to Lose Body Weight?
    Duk-Hee Lee
    Diabetes & Metabolism Journal.2018; 42(4): 282.     CrossRef
A Smartphone Application Significantly Improved Diabetes Self-Care Activities with High User Satisfaction
Yu Jin Kim, Sang Youl Rhee, Jong Kyu Byun, So Young Park, Soo Min Hong, Sang Ouk Chin, Suk Chon, Seungjoon Oh, Jeong-taek Woo, Sung Woon Kim, Young Seol Kim
Diabetes Metab J. 2015;39(3):207-217.   Published online April 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.207
  • 10,161 View
  • 67 Download
  • 39 Web of Science
  • 48 Crossref
AbstractAbstract PDFPubReader   
Background

We developed for the first time a smartphone application designed for diabetes self-management in Korea and registered a patent for the relevant algorithm. We also investigated the user satisfaction with the application and the change in diabetes related self-care activities after using the application.

Methods

We conducted a questionnaire survey on volunteers with diabetes who were using the application. Ninety subjects responded to the questionnaire between June 2012 and March 2013. A modified version of the Summary of Diabetes Self-Care Activities (SDSCA) was used in this study.

Results

The survey results exhibited a mean subject age of 44.0 years old, and males accounted for 78.9% of the subjects. Fifty percent of the subjects had diabetes for less than 3 years. The majority of respondents experienced positive changes in their clinical course after using the application (83.1%) and were satisfied with the structure and completeness of the application (86.7%). Additionally, the respondents' answers indicated that the application was easy to use (96.7%) and recommendable to others (97.7%) and that they would continue using the application to manage their diabetes (96.7%). After using the Diabetes Notepad application, diabetes related self-care activities assessed by SDSCA displayed statistically significant improvements (P<0.05), except for the number of days of drinking.

Conclusion

This smartphone-based application can be a useful tool leading to positive changes in diabetes related self-care activities and increase user satisfaction.

Citations

Citations to this article as recorded by  
  • Time Efficiency, Reliability, and User Satisfaction of the Tooth Memo App for Recording Oral Health Information: Cross-Sectional Questionnaire Study
    Palinee Detsomboonrat, Pagaporn Pantuwadee Pisarnturakit
    JMIR Formative Research.2024; 8: e56143.     CrossRef
  • Weight Management Health Note, a Mobile Health Platform for Obesity Management Developed by the Korean Society for the Study of Obesity
    Yujung Lee, Hyunji Sang, Sunyoung Kim, Doo Ah Choi, Sang Youl Rhee
    Journal of Obesity & Metabolic Syndrome.2024; 33(1): 1.     CrossRef
  • Relationship between Diabetes Self-Management and the Use of Health Care Apps: A Cross-Sectional Study
    Satoshi Inagaki, Kenji Kato, Kozue Abe, Hiroaki Takahashi, Tomokazu Matsuda
    ACI Open.2023; 07(01): e23.     CrossRef
  • The effect of mHealth program on behavior modification and health outcomes among patients with diabetes: A randomized controlled trial study
    Mohd Khairul Zul Hasymi Firdaus, Piyanuch Jittanoon, Umaporn Boonyasopun, Muhammad Kamil Che Hasan
    Belitung Nursing Journal.2023; 9(5): 437.     CrossRef
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Mobile-Based Application Interventions to Enhance Cancer Control and Care in Low- and Middle-Income Countries: A Systematic Review
    Andrew Donkor, Jennifer Akyen Ayitey, Prince Nyansah Adotey, Esther Oparebea Ofori, Doris Kitson-Mills, Verna Vanderpuye, Samuel Yaw Opoku, Tim Luckett, Meera R. Agar, Penelope Engel-Hills
    International Journal of Public Health.2023;[Epub]     CrossRef
  • Effect of an Integrative Mobile Health Intervention in Patients With Hypertension and Diabetes: Crossover Study
    Sang Woo Oh, Kyoung-Kon Kim, Sung Soo Kim, Su Kyung Park, Sangshin Park
    JMIR mHealth and uHealth.2022; 10(1): e27192.     CrossRef
  • Evaluation of a Smart After-Care Program for Patients with Lung Cancer: A Prospective, Single-Arm Pilot Study
    Hee Chul Yang, Seung Hyun Chung, Ji Sung Yoo, Boram Park, Moon Soo Kim, Jong Mog Lee
    Journal of Chest Surgery.2022; 55(2): 108.     CrossRef
  • Personalized Nutrition for the Prevention and Treatment of Metabolic Diseases: Opportunities and Perspectives
    I. N. Napolsky, P. V. Popova
    Russian Journal for Personalized Medicine.2022; 2(1): 15.     CrossRef
  • The effect of a mobile application on the foot care of individuals with type 2 diabetes: A randomised controlled study
    Berna Dincer, Nefise Bahçecik
    Health Education Journal.2021; 80(4): 425.     CrossRef
  • Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review
    Claudia Eberle, Maxine Löhnert, Stefanie Stichling
    JMIR mHealth and uHealth.2021; 9(2): e23477.     CrossRef
  • Diabetology 4.0: Scoping Review of Novel Insights and Possibilities Offered by Digitalization
    Claudia Eberle, Stefanie Stichling, Maxine Löhnert
    Journal of Medical Internet Research.2021; 23(3): e23475.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • A Personalized Mobile Health Program for Type 2 Diabetes During the COVID-19 Pandemic: Single-Group Pre–Post Study
    Ian Yi Han Ang, Kyle Xin Quan Tan, Clive Tan, Chiew Hoon Tan, James Wei Ming Kwek, Joanne Tay, Sue Anne Toh
    JMIR Diabetes.2021; 6(3): e25820.     CrossRef
  • The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review
    Maryam Zahmatkeshan, Somayyeh Zakerabasali, Mojtaba Farjam, Yousef Gholampour, Maryam Seraji, Azita Yazdani
    Journal of Medicine and Life.2021; 14(2): 131.     CrossRef
  • Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review
    Meghan Bradway, Elia Gabarron, Monika Johansen, Paolo Zanaboni, Patricia Jardim, Ragnar Joakimsen, Louise Pape-Haugaard, Eirik Årsand
    JMIR mHealth and uHealth.2020; 8(4): e16814.     CrossRef
  • Effect of a Mobile Phone–Based Glucose-Monitoring and Feedback System for Type 2 Diabetes Management in Multiple Primary Care Clinic Settings: Cluster Randomized Controlled Trial
    Yeoree Yang, Eun Young Lee, Hun-Sung Kim, Seung-Hwan Lee, Kun-Ho Yoon, Jae-Hyoung Cho
    JMIR mHealth and uHealth.2020; 8(2): e16266.     CrossRef
  • Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review
    Dillys Larbi, Pietro Randine, Eirik Årsand, Konstantinos Antypas, Meghan Bradway, Elia Gabarron
    Journal of Medical Internet Research.2020; 22(7): e18480.     CrossRef
  • Evaluating the effect of a smartphone app-based self-management program for people with COPD: A randomized controlled trial
    Soo Kyung Park, Cho Hee Bang, Seung Hyeun Lee
    Applied Nursing Research.2020; 52: 151231.     CrossRef
  • Development of an mHealth application for family carers of people with dementia: A study protocol
    Sarath Rathnayake, Wendy Moyle, Cindy Jingwen Jones, Pauline Calleja
    Collegian.2019; 26(2): 295.     CrossRef
  • Use of Weight-Management Mobile Phone Apps in Saudi Arabia: A Web-Based Survey
    Ghadeer S Aljuraiban
    JMIR mHealth and uHealth.2019; 7(2): e12692.     CrossRef
  • Appropriate Medical Technology in the Era of the 4th Industrial Revolution
    Sang Youl Rhee
    The Korean Journal of Medicine.2019; 94(5): 387.     CrossRef
  • Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media
    Mihiretu M. Kebede, Claudia R. Pischke
    Frontiers in Endocrinology.2019;[Epub]     CrossRef
  • Development and Evaluation: The Satisfaction of Using an Oral Health Survey Mobile Application
    Palinee Detsomboonrat, Pagaporn Pantuwadee Pisarnturakit
    Telemedicine and e-Health.2019; 25(1): 55.     CrossRef
  • Usability of a Disease Management Mobile Application as Perceived by Patients With Diabetes
    Roqaieh Janatkhah, Rasoul Tabari-Khomeiran, Attaolah Asadi-Louyeh, Ehsan Kazemnejad
    CIN: Computers, Informatics, Nursing.2019; 37(8): 413.     CrossRef
  • Structure and Characteristics of Diabetes Self-management Applications
    Sara Angelini, Gregorio Marco Alicastro, Sara Dionisi, Marco Di Muzio
    CIN: Computers, Informatics, Nursing.2019; 37(7): 340.     CrossRef
  • Digital Health Transformation of Integrated Care in Europe: Overarching Analysis of 17 Integrated Care Programs
    Erik Baltaxe, Thomas Czypionka, Markus Kraus, Miriam Reiss, Jan Erik Askildsen, Renata Grenkovic, Tord Skogedal Lindén, János György Pitter, Maureen Rutten-van Molken, Oscar Solans, Jonathan Stokes, Verena Struckmann, Josep Roca, Isaac Cano
    Journal of Medical Internet Research.2019; 21(9): e14956.     CrossRef
  • A Mobile Prenatal Care App to Reduce In-Person Visits: Prospective Controlled Trial
    Kathryn I Marko, Nihar Ganju, Jill M Krapf, Nancy D Gaba, James A Brown, Joshua J Benham, Julia Oh, Lorna M Richards, Andrew C Meltzer
    JMIR mHealth and uHealth.2019; 7(5): e10520.     CrossRef
  • Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives
    Mary D. Adu, Usman H. Malabu, Aduli E. O. Malau-Aduli, Bunmi S. Malau-Aduli, Simone Borsci
    PLOS ONE.2018; 13(12): e0208942.     CrossRef
  • Developing and Clinical Application of a Smartphone Mobile Mood Chart Application in Korean for Patients with Bipolar Disorder
    Kayoung Song, Saejeong Lee, Woon Yoon, Changyoon Kim, Yeonho Joo, Jungsun Lee, Myong-Wuk Chon
    Journal of Korean Neuropsychiatric Association.2018; 57(3): 244.     CrossRef
  • mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience
    Anum Irfan Khan, Ashlinder Gill, Cheryl Cott, Parminder Kaur Hans, Carolyn Steele Gray
    JMIR mHealth and uHealth.2018; 6(8): e171.     CrossRef
  • Rules of engagement in mobile health: what does mobile health bring to research and theory?
    Cigdem Sahin
    Contemporary Nurse.2018; 54(4-5): 374.     CrossRef
  • Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals
    Ericles Andrei Bellei, Daiana Biduski, Nathália Pinto Cechetti, Ana Carolina Bertoletti De Marchi
    Telemedicine and e-Health.2018; 24(11): 839.     CrossRef
  • Current Status and Effects of Nutrition Education Programs for Diabetic Patients in Korea
    Hae Jin Kang
    The Journal of Korean Diabetes.2018; 19(2): 106.     CrossRef
  • Mobile direct observation of therapy (MDOT) - A rapid systematic review and pilot study in children with asthma
    Michael D. Shields, Fahad ALQahtani, Michael P. Rivey, James C. McElnay, Jacobus P. van Wouwe
    PLOS ONE.2018; 13(2): e0190031.     CrossRef
  • App-basiertes Selbstmonitoring bei Typ-2-Diabetes
    A. Steinert, M. Haesner, E. Steinhagen-Thiessen
    Zeitschrift für Gerontologie und Geriatrie.2017; 50(6): 516.     CrossRef
  • Smartphone App Use for Diabetes Management: Evaluating Patient Perspectives
    Kirstie Lithgow, Alun Edwards, Doreen Rabi
    JMIR Diabetes.2017; 2(1): e2.     CrossRef
  • Needs for Development of IT-based Nutritional Management Program for Women with Gestational Diabetes Mellitus
    Chan-Jung Han, Sun-Young Lim, Eunsuk Oh, Yoon-Hee Choi, Kun-Ho Yoon, Jin-Hee Lee
    Korean Journal of Community Nutrition.2017; 22(3): 207.     CrossRef
  • Semantic representation and processing of hypoglycemic events derived from wearable sensor data
    Jean-Paul Calbimonte, Jean-Eudes Ranvier, Fabien Dubosson, Karl Aberer, Antonis Bikakis, Thanos G. Stavropoulos, Georgios Meditskos
    Journal of Ambient Intelligence and Smart Environments.2017; 9(1): 97.     CrossRef
  • Acceptability and Feasibility of a Smartphone Application for 5th, 6th Grade Elementary Students to Prevent Childhood Obesity; a Qualitative Study
    Ji-Hye Jung, Young-Gyu Cho, Da-Ye Ji, Jae-Heon Kang
    Korean Journal of Health Promotion.2016; 16(4): 251.     CrossRef
  • m-santé francophone et diabète : mise au point
    M. Halbron, M. Joubert, E. Sonnet
    Médecine des Maladies Métaboliques.2016; 10(3): 243.     CrossRef
  • Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity
    Sang Ouk Chin, Changwon Keum, Junghoon Woo, Jehwan Park, Hyung Jin Choi, Jeong-taek Woo, Sang Youl Rhee
    Scientific Reports.2016;[Epub]     CrossRef
  • The Wills Eye Glaucoma App: Interest of Patients and Their Caregivers in a Smartphone-based and Tablet-based Glaucoma Application
    Michael Waisbourd, Hermandeep Dhami, Chen Zhou, Michael Hsieh, Pramod Abichandani, Michael J. Pro, Marlene R. Moster, L. Jay Katz, Lisa A. Hark, Jonathan S. Myers
    Journal of Glaucoma.2016; 25(9): e787.     CrossRef
  • Testing the Feasibility of Remote Patient Monitoring in Prenatal Care Using a Mobile App and Connected Devices: A Prospective Observational Trial
    Kathryn I Marko, Jill M Krapf, Andrew C Meltzer, Julia Oh, Nihar Ganju, Anjali G Martinez, Sheetal G Sheth, Nancy D Gaba
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Diabetes Metab J : Diabetes & Metabolism Journal
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