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Citing this Article

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Published on 14.03.17 in Vol 5, No 3 (2017): March

This paper is in the following e-collection/theme issue:

Works citing "Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6522):

(note that this is only a small subset of citations)

  1. Krishnan G, Selvam G. Factors influencing the download of mobile health apps: Content review cum regression analysis. Health Policy and Technology 2019;
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  2. Slugocki M, Bialonczyk D, Özdener AE. A Review of Emerging Technologies in Diabetes Management for Multiple-Dose Insulin-Injecting Patients With Type 2 Diabetes Who Self-monitor Blood Glucose. Journal of Pharmacy Technology 2019;35(2):69
    CrossRef
  3. Aminuddin HB, Jiao N, Jiang Y, Hong J, Wang W. Effectiveness of smartphone-based self-management interventions on self-efficacy, self-care activities, health-related quality of life and clinical outcomes in patients with type 2 diabetes: A systematic review and meta-analysis. International Journal of Nursing Studies 2019;
    CrossRef
  4. Bellei EA, Biduski D, Lisboa HRK, De Marchi ACB. Development and Assessment of a Mobile Health Application for Monitoring the Linkage Among Treatment Factors of Type 1 Diabetes Mellitus. Telemedicine and e-Health 2019;
    CrossRef
  5. Surkan PJ, Mezzanotte KS, Sena LM, Chang LW, Gittelsohn J, Trolle Lagerros Y, Quinn CC, Zachary WW. Community-Driven Priorities in Smartphone Application Development: Leveraging Social Networks to Self-Manage Type 2 Diabetes in a Low-Income African American Neighborhood. International Journal of Environmental Research and Public Health 2019;16(15):2715
    CrossRef
  6. Rocha NP, Rodrigues dos Santos M, Cerqueira M, Queirós A. Mobile Health to Support Ageing in Place. International Journal of E-Health and Medical Communications 2019;10(3):1
    CrossRef
  7. Rossmann C, Riesmeyer C, Brew-Sam N, Karnowski V, Joeckel S, Chib A, Ling R. Appropriation of Mobile Health for Diabetes Self-Management: Lessons From Two Qualitative Studies. JMIR Diabetes 2019;4(1):e10271
    CrossRef
  8. Vehi J, Regincós Isern J, Parcerisas A, Calm R, Contreras I. Impact of Use Frequency of a Mobile Diabetes Management App on Blood Glucose Control: Evaluation Study. JMIR mHealth and uHealth 2019;7(3):e11933
    CrossRef
  9. Quevedo Rodríguez A, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición 2019;66(5):330
    CrossRef
  10. Nouri SS, Avila-Garcia P, Cemballi AG, Sarkar U, Aguilera A, Lyles CR. Assessing Mobile Phone Digital Literacy and Engagement in User-Centered Design in a Diverse, Safety-Net Population: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(8):e14250
    CrossRef
  11. Carter DD, Robinson K, Forbes J, Walsh JC, Hayes S. Exploring the perspectives of stroke survivors and healthcare professionals on the use of mobile health to promote physical activity: A qualitative study protocol. HRB Open Research 2019;2:9
    CrossRef
  12. 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):1465
    CrossRef
  13. Mosconi P, Radrezza S, Lettieri E, Santoro E. Use of Health Apps and Wearable Devices: Survey Among Italian Associations for Patient Advocacy. JMIR mHealth and uHealth 2019;7(1):e10242
    CrossRef
  14. Klonoff DC. Behavioral Theory: The Missing Ingredient for Digital Health Tools to Change Behavior and Increase Adherence. Journal of Diabetes Science and Technology 2019;13(2):276
    CrossRef
  15. Schwarz PEH, Piller S, Kokelmann C, Holland M, Timpel P. Digitalisierung in der Diabetologie — Realität, Herausforderung, Vision. Info Diabetologie 2019;13(1):28
    CrossRef
  16. Do D, Garfein RS, Cuevas-Mota J, Collins K, Liu L. Change in Patient Comfort Using Mobile Phones Following the Use of an App to Monitor Tuberculosis Treatment Adherence: Longitudinal Study. JMIR mHealth and uHealth 2019;7(2):e11638
    CrossRef
  17. 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):e13971
    CrossRef
  18. Qan'ir Y, Song L. Systematic review of technology‐based interventions to improve anxiety, depression, and health‐related quality of life among patients with prostate cancer. Psycho-Oncology 2019;28(8):1601
    CrossRef
  19. Pramanik BK, Angelin JJ, Mathai VJ, Mathai S, Korula S, Simon A. Smartphone App as Motivational Intervention to Improve Glycemic Control in Adolescents with Type 1 Diabetes. The Indian Journal of Pediatrics 2019;
    CrossRef
  20. 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):e13204
    CrossRef
  21. Jeon E, Park H. Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study. JMIR Diabetes 2019;4(2):e11590
    CrossRef
  22. de Sousa AFL, Bim LL, Schneider G, Hermann PRDS, de Andrade D, Fronteira I. m-Health in the Surgical Context: Prospecting, Review and Analysis of Mobile Applications. The Open Nursing Journal 2019;13(1):18
    CrossRef
  23. Aria R, Archer N. The role of support and sustainability elements in the adoption of an online self-management support system for chronic illnesses. Journal of Biomedical Informatics 2019;95:103215
    CrossRef
  24. Sanders I, Short CE, Bogomolova S, Stanford T, Plotnikoff R, Vandelanotte C, Olds T, Edney S, Ryan J, Curtis RG, Maher C. Characteristics of Adopters of an Online Social Networking Physical Activity Mobile Phone App: Cluster Analysis. JMIR mHealth and uHealth 2019;7(6):e12484
    CrossRef
  25. 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):e12658
    CrossRef
  26. Cafazzo JA. A Digital-First Model of Diabetes Care. Diabetes Technology & Therapeutics 2019;21(S2):S2-52
    CrossRef
  27. Miele F, Clementi S, Gennaro R, Nicolao I, Romanelli T, Speese K, Piras EM. Text Messaging and Type 1 Diabetes Management: Qualitative Study Exploring Interactions Among Patients and Health Care Professionals. JMIR Diabetes 2019;4(2):e11343
    CrossRef
  28. Owolabi EO, Goon DT. The use of text messaging for improving adherence to anti-diabetic regimen and glycaemic control in low-resource settings of South Africa: A study protocol for a randomised controlled trial. Contemporary Clinical Trials Communications 2019;15:100418
    CrossRef
  29. 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):e12179
    CrossRef
  30. Brew-Sam N, Chib A. How Do Smart Device Apps for Diabetes Self-Management Correspond with Theoretical Indicators of Empowerment? An Analysis of App Features. International Journal of Technology Assessment in Health Care 2019;35(2):150
    CrossRef
  31. Quevedo Rodríguez A, Wägner AM. Mobile phone applications for diabetes management: A systematic review. Endocrinología, Diabetes y Nutrición (English ed.) 2019;66(5):330
    CrossRef
  32. Moral-Munoz JA, Zhang W, Cobo MJ, Herrera-Viedma E, Kaber DB. Smartphone-based systems for physical rehabilitation applications: A systematic review. Assistive Technology 2019;:1
    CrossRef
  33. Bzowyckyj A. Updates and advances in technology for diabetes self-management. Pharmacy Today 2019;25(5):43
    CrossRef
  34. Toniazzo MP, Nodari D, Muniz FWMG, Weidlich P. Effect of mHealth in improving oral hygiene: A systematic review with meta‐analysis. Journal of Clinical Periodontology 2019;46(3):297
    CrossRef
  35. Veazie S, Winchell K, Gilbert J, Paynter R, Ivlev I, Eden KB, Nussbaum K, Weiskopf N, Guise J, Helfand M. Rapid Evidence Review of Mobile Applications for Self-management of Diabetes. Journal of General Internal Medicine 2018;33(7):1167
    CrossRef
  36. 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):e4
    CrossRef
  37. Russell-Jones D, Pouwer F, Khunti K. Identification of barriers to insulin therapy and approaches to overcoming them. Diabetes, Obesity and Metabolism 2018;20(3):488
    CrossRef
  38. Tauschmann M, Hovorka R. Technology in the management of type 1 diabetes mellitus — current status and future prospects. Nature Reviews Endocrinology 2018;14(8):464
    CrossRef
  39. Valencia WM, Botros D, Vera-Nunez M, Dang S. Diabetes Treatment in the Elderly: Incorporating Geriatrics, Technology, and Functional Medicine. Current Diabetes Reports 2018;18(10)
    CrossRef
  40. Thompson B. Do Smartphone Applications Hold the Secret to Reducing Hypoglycemia in Type 1 Diabetes?. Journal of Diabetes Science and Technology 2018;12(6):1200
    CrossRef
  41. Garnweidner-Holme L, Hoel Andersen T, Sando MW, Noll J, Lukasse M. Health Care Professionals’ Attitudes Toward, and Experiences of Using, a Culture-Sensitive Smartphone App for Women with Gestational Diabetes Mellitus: Qualitative Study. JMIR mHealth and uHealth 2018;6(5):e123
    CrossRef
  42. van Ommen B, Wopereis S, van Empelen P, van Keulen HM, Otten W, Kasteleyn M, Molema JJW, de Hoogh IM, Chavannes NH, Numans ME, Evers AWM, Pijl H. From Diabetes Care to Diabetes Cure—The Integration of Systems Biology, eHealth, and Behavioral Change. Frontiers in Endocrinology 2018;8
    CrossRef
  43. Skar JB, Garnweidner-Holme LM, Lukasse M, Terragni L. Women's experiences with using a smartphone app (the Pregnant+ app) to manage gestational diabetes mellitus in a randomised controlled trial. Midwifery 2018;58:102
    CrossRef
  44. Castensøe-Seidenfaden P, Husted GR, Jensen AK, Hommel E, Olsen B, Pedersen-Bjergaard U, Kensing F, Teilmann G. Testing a Smartphone App (Young with Diabetes) to Improve Self-Management of Diabetes Over 12 Months: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(6):e141
    CrossRef
  45. Rhea CK, Felsberg DT, Maher JP. Toward Evidence-Based Smartphone Apps to Enhance Human Health: Adoption of Behavior Change Techniques. American Journal of Health Education 2018;49(4):210
    CrossRef
  46. Offringa R, Sheng T, Parks L, Clements M, Kerr D, Greenfield MS. Digital Diabetes Management Application Improves Glycemic Outcomes in People With Type 1 and Type 2 Diabetes. Journal of Diabetes Science and Technology 2018;12(3):701
    CrossRef
  47. Burgess J, Watt K, Kimble RM, Cameron CM. Combining Technology and Research to Prevent Scald Injuries (the Cool Runnings Intervention): Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(10):e10361
    CrossRef
  48. Donevant SB, Estrada RD, Culley JM, Habing B, Adams SA. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407
    CrossRef
  49. Loh KP, Ramsdale E, Culakova E, Mendler JH, Liesveld JL, O'Dwyer KM, McHugh C, Gilles M, Lloyd T, Goodman M, Klepin HD, Mustian KM, Schnall R, Mohile SG. Novel mHealth App to Deliver Geriatric Assessment-Driven Interventions for Older Adults With Cancer: Pilot Feasibility and Usability Study. JMIR Cancer 2018;4(2):e10296
    CrossRef
  50. Barmanray R, Briganti E. Glycaemic control apps for diabetes: lifting the lid. Medical Journal of Australia 2018;209(10):426
    CrossRef
  51. Chhabra HS, Sharma S, Verma S. Smartphone app in self-management of chronic low back pain: a randomized controlled trial. European Spine Journal 2018;27(11):2862
    CrossRef
  52. Sherr JL, Tauschmann M, Battelino T, de Bock M, Forlenza G, Roman R, Hood KK, Maahs DM. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies. Pediatric Diabetes 2018;19:302
    CrossRef
  53. Ye Q, Khan U, Boren SA, Simoes EJ, Kim MS. An Analysis of Diabetes Mobile Applications Features Compared to AADE7™: Addressing Self-Management Behaviors in People With Diabetes. Journal of Diabetes Science and Technology 2018;12(4):808
    CrossRef
  54. Salazar A, de Sola H, Failde I, Moral-Munoz JA. Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale. JMIR mHealth and uHealth 2018;6(10):e10718
    CrossRef
  55. 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):e11400
    CrossRef
  56. Vashistha R, Dangi AK, Kumar A, Chhabra D, Shukla P. Futuristic biosensors for cardiac health care: an artificial intelligence approach. 3 Biotech 2018;8(8)
    CrossRef
  57. 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):1015
    CrossRef
  58. Quinn CC, Swasey KK, Crabbe JCF, Shardell MD, Terrin ML, Barr EA, Gruber-Baldini AL. The Impact of a Mobile Diabetes Health Intervention on Diabetes Distress and Depression Among Adults: Secondary Analysis of a Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2017;5(12):e183
    CrossRef
  59. Xie B, Su Z, Zhang W, Cai R. Chinese Cardiovascular Disease Mobile Apps’ Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e195
    CrossRef
  60. 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):e21
    CrossRef
  61. Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11)
    CrossRef
  62. Jeddi FR, Nabovati E, Amirazodi S. Features and Effects of Information Technology-Based Interventions to Improve Self-Management in Chronic Kidney Disease Patients: a Systematic Review of the Literature. Journal of Medical Systems 2017;41(11)
    CrossRef
  63. Stein N, Brooks K. A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults. JMIR Diabetes 2017;2(2):e28
    CrossRef
  64. Trawley S, Baptista S, Browne JL, Pouwer F, Speight J. The Use of Mobile Applications Among Adults with Type 1 and Type 2 Diabetes: Results from the Second MILES—Australia (MILES-2) Study. Diabetes Technology & Therapeutics 2017;19(12):730
    CrossRef
  65. Sudhir PM. Advances in psychological interventions for lifestyle disorders. Current Opinion in Psychiatry 2017;30(5):346
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.6522)

:
  1. Kim KK, Jalil S, Ngo V. Consumer Informatics and Digital Health. 2019. Chapter 12:221
    CrossRef
  2. Zaires S, Perrakis G, Bekri E, Katrakazas P, Lambrou G, Koutsouris D. EMBEC & NBC 2017. 2018. Chapter 45:177
    CrossRef