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Citing this Article

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Published on 19.12.16 in Vol 4, No 4 (2016): Oct-Dec

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

Works citing "Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review"

Karandeep Singh, Kaitlin Drouin, Lisa P Newmark, Malina Filkins, Elizabeth Silvers, Paul A Bain, Donna M Zulman, Jae-Ho Lee, Ronen Rozenblum, Erika Pabo, Adam Landman, Elissa V Klinger, David W Bates

JMIR Mhealth Uhealth 2016 (Dec 19); 4(4):e136 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.6445):

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

  1. Park YR, Lee Y, Kim JY, Kim J, Kim HR, Kim Y, Kim WS, Lee J. Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data. JMIR mHealth and uHealth 2018;6(4):e89
    CrossRef
  2. . Mobile Phone Apps in the Management and Assessment of Mild Cognitive Impairment and/or Mild-to-Moderate Dementia: An Opinion Article on Recent Findings. Frontiers in Human Neuroscience 2017;11
    CrossRef
  3. Chattopadhyay D, Ma T, Sharifi H, Martyn-Nemeth P. Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2020;22(7):e18839
    CrossRef
  4. Tarricone R, Cucciniello M, Armeni P, Petracca F, Desouza KC, Hall LK, Keefe D. Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey. JMIR mHealth and uHealth 2019;7(9):e13584
    CrossRef
  5. Davies K, Cheraghi-Sohi S, Ong BN, Perryman K, Sanders C. Co-designing an Adaption of a Mobile App to Enhance Communication, Safety, and Well-being Among People Living at Home With Early-Stage Dementia: Protocol for an Exploratory Multiple Case Study. JMIR Research Protocols 2021;10(12):e19543
    CrossRef
  6. Meinert E, Rahman E, Potter A, Lawrence W, Van Velthoven M. Acceptability and Usability of the Mobile Digital Health App NoObesity for Families and Health Care Professionals: Protocol for a Feasibility Study. JMIR Research Protocols 2020;9(7):e18068
    CrossRef
  7. Kim H, Park E, Lee S, Kim M, Park EJ, Hong S. Self-management of Older Korean Adults Living with Chronic Diseases: The mHealth Training Protocol and Feasibility Study (Preprint). JMIR Research Protocols 2018;
    CrossRef
  8. Breton MD, Patek SD, Lv D, Schertz E, Robic J, Pinnata J, Kollar L, Barnett C, Wakeman C, Oliveri M, Fabris C, Chernavvsky D, Kovatchev BP, Anderson SM. Continuous Glucose Monitoring and Insulin Informed Advisory System with Automated Titration and Dosing of Insulin Reduces Glucose Variability in Type 1 Diabetes Mellitus. Diabetes Technology & Therapeutics 2018;20(8):531
    CrossRef
  9. Park YR, Lee E, Na W, Park S, Lee Y, Lee J. Is Blockchain Technology Suitable for Managing Personal Health Records? Mixed-Methods Study to Test Feasibility. Journal of Medical Internet Research 2019;21(2):e12533
    CrossRef
  10. Bhattacharyya O, Mossman K, Gustafsson L, Schneider EC. Using Human-Centered Design to Build a Digital Health Advisor for Patients With Complex Needs: Persona and Prototype Development. Journal of Medical Internet Research 2019;21(5):e10318
    CrossRef
  11. Kim H, Park E, Lee S, Kim M, Park EJ, Hong S. Self-Management of Chronic Diseases Among Older Korean Adults: An mHealth Training, Protocol, and Feasibility Study. JMIR mHealth and uHealth 2018;6(6):e147
    CrossRef
  12. Rodriguez JA, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719
    CrossRef
  13. DiFilippo KN, Huang WD, Chapman-Novakofski KM. Mobile Apps for the Dietary Approaches to Stop Hypertension (DASH): App Quality Evaluation. Journal of Nutrition Education and Behavior 2018;50(6):620
    CrossRef
  14. 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
  15. Singh K, Diamantidis CJ, Ramani S, Bhavsar NA, Mara P, Warner J, Rodriguez J, Wang T, Wright-Nunes J. Patients’ and Nephrologists’ Evaluation of Patient-Facing Smartphone Apps for CKD. Clinical Journal of the American Society of Nephrology 2019;14(4):523
    CrossRef
  16. Ifejika NL, Bhadane M, Cai CC, Noser EA, Grotta JC, Savitz SI. Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point. JMIR mHealth and uHealth 2020;8(4):e17816
    CrossRef
  17. Lagan S, Aquino P, Emerson MR, Fortuna K, Walker R, Torous J. Actionable health app evaluation: translating expert frameworks into objective metrics. npj Digital Medicine 2020;3(1)
    CrossRef
  18. Wang P, Luo D, Lu F, Elias JS, Landman AB, Michaud KD, Lee YC. A Novel Mobile App and Population Management System to Manage Rheumatoid Arthritis Flares: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2018;7(4):e84
    CrossRef
  19. . Mobile Health in Dialysis: The Best Engagement Medium Is the One that’s with Patients. Clinical Journal of the American Society of Nephrology 2021;16(1):12
    CrossRef
  20. Karim JL, Talhouk A. Person-Generated Health Data in Women’s Health: Protocol for a Scoping Review. JMIR Research Protocols 2021;10(5):e26110
    CrossRef
  21. Katayama Y, Kiyohara K, Hirose T, Matsuyama T, Ishida K, Nakao S, Tachino J, Ojima M, Noda T, Kiguchi T, Hayashida S, Kitamura T, Mizobata Y, Shimazu T. A Mobile App for Self-Triage for Pediatric Emergency Patients in Japan: 4 Year Descriptive Epidemiological Study. JMIR Pediatrics and Parenting 2021;4(2):e27581
    CrossRef
  22. Zhang T, Dong L, Jing H, Gao S. Smartphone Applications in the Management of Parkinson's Disease in a Family Setting: An Opinion Article. Frontiers in Neurology 2021;12
    CrossRef
  23. Upadhyay VA, Landman AB, Hassett MJ. Landscape Analysis of Oncology Mobile Health Applications. JCO Clinical Cancer Informatics 2021;(5):579
    CrossRef
  24. Beck AK, Kelly PJ, Deane FP, Baker AL, Hides L, Manning V, Shakeshaft A, Neale J, Kelly JF, Gray RM, Argent A, McGlaughlin R, Chao R, Martini M. Developing a mHealth Routine Outcome Monitoring and Feedback App (“SMART Track”) to Support Self-Management of Addictive Behaviours. Frontiers in Psychiatry 2021;12
    CrossRef
  25. San Giovanni CB, Dawley E, Pope C, Steffen M, Roberts J. The Doctor Will “Friend” You Now: A Qualitative Study on Adolescents’ Preferences for Weight Management App Features. Southern Medical Journal 2021;114(7):373
    CrossRef
  26. Kim D, Lee Y, Oh JS, Seo D, Lee KH, Kim Y, Kim WS, Lee J. Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs. Healthcare 2021;10(1):53
    CrossRef
  27. . Mobile Health Applications to Tackle Obesity and Assist Weight-Management Goals among Adults. Highlights in Science, Engineering and Technology 2022;2:63
    CrossRef
  28. Colmegna P, Bisio A, McFadden R, Wakeman C, Oliveri MC, Nass R, Breton M. Evaluation of a Web-Based Simulation Tool for Self-Management Support in Type 1 Diabetes: A Pilot Study. IEEE Journal of Biomedical and Health Informatics 2023;27(1):515
    CrossRef
  29. Hong S, Lee S, Song K, Kim M, Kim Y, Kim H, Kim H. A nurse-led mHealth intervention to alleviate depressive symptoms in older adults living alone in the community: A quasi-experimental study. International Journal of Nursing Studies 2023;138:104431
    CrossRef
  30. Kelly PJ, Beck AK, Deane FP, Larance B, Baker AL, Hides L, Manning V, Shakeshaft A, Neale J, Kelly JF, Oldmeadow C, Searles A, Palazzi K, Lawson K, Treloar C, Gray RM, Argent A, McGlaughlin R. Feasibility of a Mobile Health App for Routine Outcome Monitoring and Feedback in SMART Recovery Mutual Support Groups: Stage 1 Mixed Methods Pilot Study. Journal of Medical Internet Research 2021;23(10):e25217
    CrossRef
  31. Lattie EG, Stiles-Shields C, Graham AK. An overview of and recommendations for more accessible digital mental health services. Nature Reviews Psychology 2022;1(2):87
    CrossRef
  32. Oliveira LPD, Lucato ALS, Fernandes DR, Vieira LG, Santos BND, Silveira RCDCP. Use of technology for self-care in surgical wound infection surveillance: integrative review. Revista Brasileira de Enfermagem 2022;75(3)
    CrossRef
  33. . Differentiation of Family System Inventory (DoFSI): Development and content validation of a new qualitative family intervention and evaluation tool. Australian and New Zealand Journal of Family Therapy 2023;44(2):179
    CrossRef
  34. Hempel S, Bolshakova M, Hochman M, Jimenez E, Thompson G, Motala A, Ganz DA, Gabrielian S, Edwards S, Zenner J, Dennis B, Chang E. Caring for high-need patients. BMC Health Services Research 2023;23(1)
    CrossRef
  35. Milne-Ives M, Rahman E, Bradwell H, Baines R, Boey T, Potter A, Lawrence W, Helena van Velthoven M, Meinert E, Ayatollahi H. Barriers and facilitators to parents’ engagement with and perceived impact of a childhood obesity app: A mixed-methods study. PLOS Digital Health 2024;3(3):e0000481
    CrossRef
  36. Kim K, Kim S, Park Y, Lee E, Jung S, Kang J, An D, Min K, Shim SR, Yu HW, Han HW. A blockchain-based healthcare data marketplace: prototype and demonstration. JAMIA Open 2024;7(2)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.6445):

  1. Singh K, Landman AB. Key Advances in Clinical Informatics. 2017. :183
    CrossRef
  2. Tremblay MC, Cucciniello M, Tarricone R, Porumbescu GA, Desouza KC. Designing for Digital Transformation. Co-Creating Services with Citizens and Industry. 2020. Chapter 1:3
    CrossRef
  3. MacMartin-Moglia K, Mahler M. Precision Medicine and Artificial Intelligence. 2021. :267
    CrossRef