The Association Between Medication Adherence for Chronic Conditions and Digital Health Activity Tracking: Retrospective Analysis

The Association Between Medication Adherence for Chronic Conditions and Digital Health Activity Tracking: Retrospective Analysis

The Association Between Medication Adherence for Chronic Conditions and Digital Health Activity Tracking: Retrospective Analysis

Journals

  1. Friel C, Cornelius T, Diaz K. Factors associated with long-term wearable physical activity monitor user engagement. Translational Behavioral Medicine 2021;11(1):262 View
  2. Dagher L, Shi H, Zhao Y, Marrouche N. Wearables in cardiology: Here to stay. Heart Rhythm 2020;17(5):889 View
  3. Epstein L, Paluch R, Stein J, Quattrin T, Mastrandrea L, Bree K, Sze Y, Greenawald M, Biondolillo M, Bickel W. Delay Discounting, Glycemic Regulation and Health Behaviors in Adults with Prediabetes. Behavioral Medicine 2021;47(3):194 View
  4. Ho D, Teo G. Digital Medicine – The New Frontier for AI in Healthcare. Advanced Therapeutics 2020;3(4) View
  5. Wong Z, Siy B, Da Silva Lopes K, Georgiou A. Improving Patients’ Medication Adherence and Outcomes in Nonhospital Settings Through eHealth: Systematic Review of Randomized Controlled Trials. Journal of Medical Internet Research 2020;22(8):e17015 View
  6. Klonoff D, Zhang J, Shang T, Mehta C, Kerr D. Pharmacoadherence: An Opportunity for Digital Health to Inform the Third Dimension of Pharmacotherapy for Diabetes. Journal of Diabetes Science and Technology 2021;15(1):177 View
  7. Shapiro A, Bradshaw B, Landes S, Kammann P, Bois De Fer B, Lee W, Lange R. A novel digital approach to describe real world outcomes among patients with constipation. npj Digital Medicine 2021;4(1) View
  8. Caduff A, Feldman Y, Ben Ishai P, Launer S. Physiological Monitoring and Hearing Loss: Toward a More Integrated and Ecologically Validated Health Mapping. Ear & Hearing 2020;41(Supplement 1):120S View
  9. Jones S, Hue W, Kelly R, Barnett R, Henderson V, Sengupta R. Determinants of Longitudinal Adherence in Smartphone-Based Self-Tracking for Chronic Health Conditions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(1):1 View
  10. Shang T, Zhang J, Bequette B, Raymond J, Coté G, Sherr J, Castle J, Pickup J, Pavlovic Y, Espinoza J, Messer L, Heise T, Mendez C, Kim S, Ginsberg B, Masharani U, Galindo R, Klonoff D. Diabetes Technology Meeting 2020. Journal of Diabetes Science and Technology 2021;15(4):916 View
  11. Choo E, Jung M, Shin J, Lee S. Comparing the Sensitivities of Measures of Adherence to Antihypertensive Drugs Using Korean National Health Insurance Claims Data. Patient Preference and Adherence 2021;Volume 15:1717 View
  12. Goodday S, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Rangwala S, Karlin D, Emami H, Woods N, Boch A, Foschini L, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E, Friend S. An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study. JMIR Formative Research 2021;5(12):e32165 View
  13. Malinovskaya Y, Kokina K, Moysyuk Y, Sumtsova O. The impact of late liver allograft dysfunction on physical activity of liver transplant recipients. Transplantologiya. The Russian Journal of Transplantation 2021;13(4):356 View
  14. Li M, Lu X, Yang H, Yuan R, Yang Y, Tong R, Wu X. Development and assessment of novel machine learning models to predict medication non-adherence risks in type 2 diabetics. Frontiers in Public Health 2022;10 View
  15. Zhang Y, Pratap A, Folarin A, Sun S, Cummins N, Matcham F, Vairavan S, Dineley J, Ranjan Y, Rashid Z, Conde P, Stewart C, White K, Oetzmann C, Ivan A, Lamers F, Siddi S, Rambla C, Simblett S, Nica R, Mohr D, Myin-Germeys I, Wykes T, Haro J, Penninx B, Annas P, Narayan V, Hotopf M, Dobson R. Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digital Medicine 2023;6(1) View
  16. Guasti L, Dilaveris P, Mamas M, Richter D, Christodorescu R, Lumens J, Schuuring M, Carugo S, Afilalo J, Ferrini M, Asteggiano R, Cowie M. Digital health in older adults for the prevention and management of cardiovascular diseases and frailty. A clinical consensus statement from the ESC Council for Cardiology Practice/Taskforce on Geriatric Cardiology, the ESC Digital Health Committee and the ESC Working Group on e‐Cardiology. ESC Heart Failure 2022;9(5):2808 View
  17. Forma F, Chiu K, Shafrin J, Boskovic D, Veeranki S. Are caregivers ready for digital? Caregiver preferences for health technology tools to monitor medication adherence among patients with serious mental illness. DIGITAL HEALTH 2022;8:205520762210844 View
  18. Zhou R, Gu Y, Zhang B, Kong T, Zhang W, Li J, Shi J. Digital Therapeutics: Emerging New Therapy for Nonalcoholic Fatty Liver Disease. Clinical and Translational Gastroenterology 2023;14(4):e00575 View
  19. Jung M, Choo E, Lee S. A comparison of methods for the measurement of adherence to antihypertensive multidrug therapy and the clinical consequences: a retrospective cohort study using the Korean nationwide claims database. Epidemiology and Health 2023:e2023050 View
  20. Wu K, Kunte S, Rajkumar S, Venkatraman V, Kim G, Kaplan S, Anwar-Hashmi S, Doberne J, Nguyen T, Lad S. Digital Health for Patients Undergoing Cardiac Surgery: A Systematic Review. Healthcare 2023;11(17):2411 View
  21. Liu H, Yao Z, Shi S, Zheng F, Li X, Zhong Z. The Mediating Effect of Self-Efficacy on the Relationship Between Medication Literacy and Medication Adherence Among Patients with Type 2 Diabetes. Patient Preference and Adherence 2023;Volume 17:1657 View
  22. Okoye V, Okoye G, Appiah D. Harnessing Digital Health Solutions to Enhance Medication Adherence in Patients With Depression. Innovations in Digital Health, Diagnostics, and Biomarkers 2024;4(2024):9 View
  23. Kostick-Quenet K, Estep J, Blumenthal-Barby J. Ethical Concerns for Remote Computer Perception in Cardiology: New Stages for Digital Health Technologies, Artificial Intelligence, and Machine Learning. Circulation: Cardiovascular Quality and Outcomes 2024;17(5) View
  24. Talay L, Vickers M. Patient Adherence to a Real-World Digital, Asynchronous Weight Loss Program in Australia That Combines Behavioural and GLP-1 RA Therapy: A Mixed Methods Study. Behavioral Sciences 2024;14(6):480 View

Books/Policy Documents

  1. . Household Self-Tracking during a Global Health Crisis. View
  2. Zinzuwadia A, Goldberg J, Hanson M, Wessler J. Emerging Practices in Telehealth. View