Published on 01.03.17 in Vol 5, No 3 (2017): March
Works citing "Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials"
According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6309):
(note that this is only a small subset of citations)
- Young HM, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse Coaching and Mobile Health Compared With Usual Care to Improve Diabetes Self-Efficacy for Persons With Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(3):e16665CrossRef
- Glattacker M, Boeker M, Anger R, Reichenbach F, Tassoni A, Bredenkamp R, Giesler JM. Evaluation of a Mobile Phone App for Patients With Pollen-Related Allergic Rhinitis: Prospective Longitudinal Field Study. JMIR mHealth and uHealth 2020;8(4):e15514CrossRef
- Zheng C, Chen X, Weng L, Guo L, Xu H, Lin M, Xue Y, Lin X, Yang A, Yu L, Xue Z, Yang J. Benefits of Mobile Apps for Cancer Pain Management: Systematic Review. JMIR mHealth and uHealth 2020;8(1):e17055CrossRef
- Dugas M, Gao G, Agarwal R. Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness. DIGITAL HEALTH 2020;6:205520762090541CrossRef
- TİMURTAŞ E, POLAT MG. USABILITY OF MOBILE HEALTH APPLICATION FOR PEOPLE WITH TYPE 2 DIABETES MELLITUS. Clinical and Experimental Health Sciences 2020;CrossRef
- Summers C, Curtis K. Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes. JMIR Diabetes 2020;5(1):e15030CrossRef
- Levine DM, Co Z, Newmark LP, Groisser AR, Holmgren AJ, Haas JS, Bates DW. Design and testing of a mobile health application rating tool. npj Digital Medicine 2020;3(1)CrossRef
- Chiu C, Yu Y, Du Y, Yang Y, Chen J, Wong L, Tanasugarn C. Comparing a Social and Communication App, Telephone Intervention, and Usual Care for Diabetes Self-Management: 3-Arm Quasiexperimental Evaluation Study. JMIR mHealth and uHealth 2020;8(6):e14024CrossRef
- Timpel P, Oswald S, Schwarz PEH, Harst L. Mapping the Evidence on the Effectiveness of Telemedicine Interventions in Diabetes, Dyslipidemia, and Hypertension: An Umbrella Review of Systematic Reviews and Meta-Analyses. Journal of Medical Internet Research 2020;22(3):e16791CrossRef
- Godman B, Basu D, Pillay Y, Mwita JC, Rwegerera GM, Anand Paramadhas BD, Tiroyakgosi C, Okwen PM, Niba LL, Nonvignon J, Sefah I, Oluka M, Guantai AN, Kibuule D, Kalemeera F, Mubita M, Fadare J, Ogunleye OO, Distiller LA, Rampamba EM, Wing J, Mueller D, Alfadl A, Amu AA, Matsebula Z, Kalungia A, Zaranyika T, Masuka N, Wale J, Hill R, Kurdi A, Timoney A, Campbell S, Meyer JC. Review of Ongoing Activities and Challenges to Improve the Care of Patients With Type 2 Diabetes Across Africa and the Implications for the Future. Frontiers in Pharmacology 2020;11CrossRef
- Hirano R, Yamaguchi S, Waki K, Kimura Y, Chin K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Willingness of Patients Prescribed Medications for Lifestyle-Related Diseases to Use Personal Health Records: Questionnaire Study. Journal of Medical Internet Research 2020;22(5):e13866CrossRef
- Harrington L. Electronic Person-Generated Health Data. AACN Advanced Critical Care 2019;30(3):217CrossRef
- Kordonouri O, Riddell MC. Use of apps for physical activity in type 1 diabetes: current status and requirements for future development. Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881983929CrossRef
- Schramm K, Grassl N, Nees J, Hoffmann J, Stepan H, Bruckner T, Haun MW, Maatouk I, Haist M, Schott TC, Sohn C, Schott S. Women’s Attitudes Toward Self-Monitoring of Their Pregnancy Using Noninvasive Electronic Devices: Cross-Sectional Multicenter Study. JMIR mHealth and uHealth 2019;7(1):e11458CrossRef
- Ernsting C, Stühmann LM, Dombrowski SU, Voigt-Antons J, Kuhlmey A, Gellert P. Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey. JMIR mHealth and uHealth 2019;7(3):e12179CrossRef
- Bzowyckyj A. Updates and advances in technology for diabetes self-management. Pharmacy Today 2019;25(5):43CrossRef
- Villinger K, Wahl DR, Boeing H, Schupp HT, Renner B. The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews 2019;20(10):1465CrossRef
- Oka R, Nomura A, Yasugi A, Kometani M, Gondoh Y, Yoshimura K, Yoneda T. Study Protocol for the Effects of Artificial Intelligence (AI)-Supported Automated Nutritional Intervention on Glycemic Control in Patients with Type 2 Diabetes Mellitus. Diabetes Therapy 2019;10(3):1151CrossRef
- Wu Y, Zhou Y, Wang X, Zhang Q, Yao X, Li X, Li J, Tian H, Li S. A Comparison of Functional Features in Chinese and US Mobile Apps for Diabetes Self-Management: A Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2019;7(8):e13971CrossRef
- Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey. JMIR mHealth and uHealth 2019;7(2):e12658CrossRef
- Alessa T, Hawley MS, Hock ES, de Witte L. Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis. JMIR mHealth and uHealth 2019;7(5):e13645CrossRef
- Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023CrossRef
- Quinn CC, Staub S, Barr E, Gruber-Baldini A. Mobile Support for Older Adults and Their Caregivers: Dyad Usability Study. JMIR Aging 2019;2(1):e12276CrossRef
- Cafazzo JA. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52CrossRef
- Hansen WB, Scheier LM. Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants. JMIR mHealth and uHealth 2019;7(7):e14655CrossRef
- Jeffrey B, Bagala M, Creighton A, Leavey T, Nicholls S, Wood C, Longman J, Barker J, Pit S. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. Diabetology & Metabolic Syndrome 2019;11(1)CrossRef
- Menon A, Gray L, Fatehi F, Bird D, Darssan D, Karunanithi M, Russell A. Mobile-based insulin dose adjustment for type 2 diabetes in community and rural populations: study protocol for a pilot randomized controlled trial. Therapeutic Advances in Endocrinology and Metabolism 2019;10:204201881983664CrossRef
- Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2019;:101301CrossRef
- Zhuang Q, Chen F, Wang T. Effectiveness of short message service intervention to improve glycated hemoglobin control and medication adherence in type-2 diabetes: A meta-analysis of prospective studies. Primary Care Diabetes 2019;CrossRef
- Koot D, Goh PSC, Lim RSM, Tian Y, Yau TY, Tan NC, Finkelstein EA. A Mobile Lifestyle Management Program (GlycoLeap) for People With Type 2 Diabetes: Single-Arm Feasibility Study. JMIR mHealth and uHealth 2019;7(5):e12965CrossRef
- Liu K, Xie Z, Or CK. Effectiveness of mobile app-assisted self-care interventions in improving patient outcomes in type 2 diabetes and/or hypertension: A systematic review and meta-analysis of randomized controlled trials (Preprint). JMIR mHealth and uHealth 2019;CrossRef
- Evans SH, Clarke P. Resolving design issues in developing a nutrition app: A case study using formative research. Evaluation and Program Planning 2019;72:97CrossRef
- Weitgasser R, Clodi M, Cvach S, Riedl M, Lechleitner M, Ludvik B. Diabetesschulung und -beratung bei Erwachsenen mit Diabetes (Update 2019). Wiener klinische Wochenschrift 2019;131(S1):110CrossRef
- Yamaguchi S, Waki K, Nannya Y, Nangaku M, Kadowaki T, Ohe K. Usage Patterns of GlucoNote, a Self-Management Smartphone App, Based on ResearchKit for Patients With Type 2 Diabetes and Prediabetes. JMIR mHealth and uHealth 2019;7(4):e13204CrossRef
- Shan R, Sarkar S, Martin SS. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia 2019;62(6):877CrossRef
- Long S, Hasenfuß G, Raupach T. Apps in der Inneren Medizin. Der Internist 2019;60(4):324CrossRef
- Chakranon P, Lai YK, Tang YW, Choudhary P, Khunti K, Lee SWH. Distal technology interventions in people with diabetes: an umbrella review of multiple health outcomes. Diabetic Medicine 2019;CrossRef
- Boodoo C, Perry JA, Leung G, Cross KM, Isaranuwatchai W. Cost-effectiveness of telemonitoring screening for diabetic foot ulcer: a mathematical model. CMAJ Open 2018;6(4):E486CrossRef
- Oppong E, Hinson RE, Adeola O, Muritala O, Kosiba JP. The effect of mobile health service quality on user satisfaction and continual usage. Total Quality Management & Business Excellence 2018;:1CrossRef
- Alessa T, Abdi S, Hawley MS, de Witte L. Mobile Apps to Support the Self-Management of Hypertension: Systematic Review of Effectiveness, Usability, and User Satisfaction. JMIR mHealth and uHealth 2018;6(7):e10723CrossRef
- Schiel R, Bambauer R, Steveling A. Technology in Diabetes Treatment: Update and Future. Artificial Organs 2018;42(11):1017CrossRef
- Rasche P, Mertens A, Miron-Shatz T, Berzon C, Schlick CM, Jahn M, Becker S, Fürnsinn C. Seamless recording of glucometer measurements among older experienced diabetic patients – A study of perception and usability. PLOS ONE 2018;13(5):e0197455CrossRef
- Zhang Y, Li X, Luo S, Liu C, Liu F, Zhou Z. Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study. JMIR mHealth and uHealth 2018;6(9):e11400CrossRef
- Berman MA, Guthrie NL, Edwards KL, Appelbaum KJ, Njike VY, Eisenberg DM, Katz DL. Change in Glycemic Control With Use of a Digital Therapeutic in Adults With Type 2 Diabetes: Cohort Study. JMIR Diabetes 2018;3(1):e4CrossRef
- Thompson B. Do Smartphone Applications Hold the Secret to Reducing Hypoglycemia in Type 1 Diabetes?. Journal of Diabetes Science and Technology 2018;12(6):1200CrossRef
- Feuerstein-Simon C, Bzdick S, Padmanabhuni A, Bains P, Roe C, Weinstock RS. Use of a Smartphone Application to Reduce Hypoglycemia in Type 1 Diabetes: A Pilot Study. Journal of Diabetes Science and Technology 2018;12(6):1192CrossRef
- Huang Z, Soljak M, Boehm BO, Car J. Clinical relevance of smartphone apps for diabetes management: A global overview. Diabetes/Metabolism Research and Reviews 2018;34(4):e2990CrossRef
- Hou C, Xu Q, Diao S, Hewitt J, Li J, Carter B. Mobile phone applications and self-management of diabetes: A systematic review with meta-analysis, meta-regression of 21 randomized trials and GRADE. Diabetes, Obesity and Metabolism 2018;20(8):2009CrossRef
- Byambasuren O, Sanders S, Beller E, Glasziou P. Prescribable mHealth apps identified from an overview of systematic reviews. npj Digital Medicine 2018;1(1)CrossRef
- Pustozerov E, Popova P, Tkachuk A, Bolotko Y, Yuldashev Z, Grineva E. Development and Evaluation of a Mobile Personalized Blood Glucose Prediction System for Patients With Gestational Diabetes Mellitus. JMIR mHealth and uHealth 2018;6(1):e6CrossRef
- Pereyra-Rodriguez J, Jiménez-Zarco A, Saigí-Rubió F. Determinantes de la intención de uso de la telemedicina en una organización sanitaria. Journal of Healthcare Quality Research 2018;33(6):319CrossRef
- Chen J, Gemming L, Hanning R, Allman-Farinelli M. Smartphone apps and the nutrition care process: Current perspectives and future considerations. Patient Education and Counseling 2018;101(4):750CrossRef
- El Shafie RA, Weber D, Bougatf N, Sprave T, Oetzel D, Huber PE, Debus J, Nicolay NH. Supportive Care in Radiotherapy Based on a Mobile App: Prospective Multicenter Survey. JMIR mHealth and uHealth 2018;6(8):e10916CrossRef
- Rodriguez JA, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719CrossRef
- El Shafie RA, Bougatf N, Sprave T, Weber D, Oetzel D, Machmer T, Huber PE, Debus J, Nicolay NH. Oncologic Therapy Support Via Means of a Dedicated Mobile App (OPTIMISE-1): Protocol for a Prospective Pilot Trial. JMIR Research Protocols 2018;7(3):e70CrossRef
- Bonn SE, Alexandrou C, Hjörleifsdottir Steiner K, Wiklander K, Östenson C, Löf M, Trolle Lagerros Y. App-technology to increase physical activity among patients with diabetes type 2 - the DiaCert-study, a randomized controlled trial. BMC Public Health 2018;18(1)CrossRef
- Bender BG. Where does health communication technology fit into allergy practice?. Annals of Allergy, Asthma & Immunology 2018;121(1):24CrossRef
- Barmanray R, Briganti E. Glycaemic control apps for diabetes: lifting the lid. Medical Journal of Australia 2018;209(10):426CrossRef
- Greenwood DA, Gee PM, Fatkin KJ, Peeples M. A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support. Journal of Diabetes Science and Technology 2017;11(5):1015CrossRef
- Osborn CY, van Ginkel JR, Rodbard D, Heyman M, Marrero DG, Huddleston B, Dachis J. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes 2017;2(2):e21CrossRef
- Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11)CrossRef
- Kebede MM, Liedtke TP, Möllers T, Pischke CR. Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review. Journal of Medical Internet Research 2017;19(10):e348CrossRef
- Pop-Jordanova N, Loleski M, Loleska S. The Use of Smartphone in Medical Practice. PRILOZI 2017;38(3):9CrossRef
- Hirani SP, Rixon L, Cartwright M, Beynon M, Newman SP. The Effect of Telehealth on Quality of Life and Psychological Outcomes Over a 12-Month Period in a Diabetes Cohort Within the Whole Systems Demonstrator Cluster Randomized Trial. JMIR Diabetes 2017;2(2):e18CrossRef
- Maher TM. Home spirometry for idiopathic pulmonary fibrosis: ready for prime time?. European Respiratory Journal 2017;50(1):1701403CrossRef
According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.6309)
:- Tang PY, Fisher EB. Behavioral Diabetes. 2020. Chapter 27:417CrossRef
- Van Stee SK, Yang Q. Technology and Health. 2020. :243CrossRef
- Sumilang CA. Advancing Mobile Learning in Contemporary Educational Spaces. 2019. chapter 4:88CrossRef
- Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. 2019. Chapter 30-1:1CrossRef
- Wali S, Keshavjee K, Demers C. eHealth - Making Health Care Smarter. 2018. Chapter 4CrossRef