Published on in Vol 7, No 4 (2019): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13353, first published .
Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

Impact on Readmission Reduction Among Heart Failure Patients Using Digital Health Monitoring: Feasibility and Adoptability Study

Journals

  1. Zhen J, Marshall J, Nguyen G, Atreja A, Narula N. Impact of Digital Health Monitoring in the Management of Inflammatory Bowel Disease. Journal of Medical Systems 2021;45(2) View
  2. Bhatia A, Maddox T. Remote Patient Monitoring in Heart Failure: Factors for Clinical Efficacy. International Journal of Heart Failure 2021;3(1):31 View
  3. Wei K, Ibrahim N, Kumar A, Jena S, Chew V, Depa M, Mayanil N, Kvedar J, Gaggin H. Habits Heart App for Patient Engagement in Heart Failure Management: Pilot Feasibility Randomized Trial. JMIR mHealth and uHealth 2021;9(1):e19465 View
  4. Veenis J, Radhoe S, Hooijmans P, Brugts J. Remote Monitoring in Chronic Heart Failure Patients: Is Non-Invasive Remote Monitoring the Way to Go?. Sensors 2021;21(3):887 View
  5. Ma X, Li J, Ren X. The efficacy of telemedical care for heart failure: A meta-analysis of randomized controlled trials. The American Journal of Emergency Medicine 2021;47:1 View
  6. Farwati M, Riaz H, Tang W. Digital Health Applications in Heart Failure: a Critical Appraisal of Literature. Current Treatment Options in Cardiovascular Medicine 2021;23(2) View
  7. Rijpkema C, Verweij L, Jepma P, Latour C, Peters R, Scholte Op Reimer W, Buurman B. The course of readmission in frail older cardiac patients. Journal of Advanced Nursing 2021;77(6):2807 View
  8. Liu T, Xie S, Wang Y, Tang J, He X, Yan T, Li K. Effects of App-Based Transitional Care on the Self-Efficacy and Quality of Life of Patients With Spinal Cord Injury in China: Randomized Controlled Trial. JMIR mHealth and uHealth 2021;9(4):e22960 View
  9. Regmi M, Parajuli P, Tandan N, Bhattarai M, Maini R, Garcia O, Bakare M, Kulkarni A, Robinson R. An assessment of race and gender-based biases among readmission predicting tools (HOSPITAL, LACE, and RAHF) in heart failure population. Irish Journal of Medical Science (1971 -) 2021 View
  10. Shah L, Ding J, Spaulding E, Yang W, Lee M, Demo R, Marvel F, Martin S. Sociodemographic Characteristics Predicting Digital Health Intervention Use After Acute Myocardial Infarction. Journal of Cardiovascular Translational Research 2021 View
  11. Senarath S, Fernie G, Roshan Fekr A. Influential Factors in Remote Monitoring of Heart Failure Patients: A Review of the Literature and Direction for Future Research. Sensors 2021;21(11):3575 View