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

mHealth for Treatment Adherence (404) Mobile Health (mhealth) (2982) mHealth for Data Collection and Research (981) mHealth for Patient Education (240) Apps, Mobile, Wearables for Diabetes (306) Sensors for Glucose Monitoring and Diabetes Management (34) Visualization and Design for Diabetes Data (11) Implantable Drug Delivery Systems, Ingestible Sensors and Digital Pills (15)

Published on in Vol 3, No 4 (2015): Oct-Dec

Let Visuals Tell the Story: Medication Adherence in Patients with Type II Diabetes Captured by a Novel Ingestion Sensor Platform

Let Visuals Tell the Story: Medication Adherence in Patients with Type II Diabetes Captured by a Novel Ingestion Sensor Platform

Let Visuals Tell the Story: Medication Adherence in Patients with Type II Diabetes Captured by a Novel Ingestion Sensor Platform

Authors of this article:

Sara H Browne1, 2 Author Orcid Image ;   Yashar Behzadi3 Author Orcid Image ;   Gwen Littlewort4 Author Orcid Image
Article Authors Cited by (30) Tweetations (27) Metrics

Journals

  1. Thompson D, Mackay T, Matthews M, Edwards J, Peters N, Connolly S. Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention. JMIR mHealth and uHealth 2017;5(6):e76 View
  2. Martani A, Geneviève L, Poppe C, Casonato C, Wangmo T. Digital pills: a scoping review of the empirical literature and analysis of the ethical aspects. BMC Medical Ethics 2020;21(1) View
  3. Spinelli M, Haberer J, Chai P, Castillo-Mancilla J, Anderson P, Gandhi M. Approaches to Objectively Measure Antiretroviral Medication Adherence and Drive Adherence Interventions. Current HIV/AIDS Reports 2020;17(4):301 View
  4. Theis S, Rasche P, Bröhl C, Wille M, Mertens A. Task-Data Taxonomy for Health Data Visualizations: Web-Based Survey With Experts and Older Adults. JMIR Medical Informatics 2018;6(3):e39 View
  5. Herrmann M, Boehme P, Hansen A, Jansson K, Rebacz P, Ehlers J, Mondritzki T, Truebel H. Digital Competencies and Attitudes Toward Digital Adherence Solutions Among Elderly Patients Treated With Novel Anticoagulants: Qualitative Study. Journal of Medical Internet Research 2020;22(1):e13077 View
  6. Pack A, Golin C, Hill L, Carda-Auten J, Wallace D, Cherkur S, Farel C, Rosen E, Gandhi M, Asher Prince H, Kashuba A. Patient and clinician perspectives on optimizing graphical displays of longitudinal medication adherence data. Patient Education and Counseling 2019;102(6):1090 View
  7. Browne S, Umlauf A, Tucker A, Low J, Moser K, Gonzalez Garcia J, Peloquin C, Blaschke T, Vaida F, Benson C, Hatherill M. Wirelessly observed therapy compared to directly observed therapy to confirm and support tuberculosis treatment adherence: A randomized controlled trial. PLOS Medicine 2019;16(10):e1002891 View
  8. Chai P, Carreiro S, Innes B, Rosen R, O'Cleirigh C, Mayer K, Boyer E. Digital Pills to Measure Opioid Ingestion Patterns in Emergency Department Patients With Acute Fracture Pain: A Pilot Study. Journal of Medical Internet Research 2017;19(1):e19 View
  9. Young H, Nesbitt T. Increasing the Capacity of Primary Care Through Enabling Technology. Journal of General Internal Medicine 2017;32(4):398 View
  10. Chai P, Carreiro S, Innes B, Chapman B, Schreiber K, Edwards R, Carrico A, Boyer E. Oxycodone Ingestion Patterns in Acute Fracture Pain With Digital Pills. Anesthesia & Analgesia 2017;125(6):2105 View
  11. Haga S. Toward digital-based interventions for medication adherence and safety. Expert Opinion on Drug Safety 2020;19(6):735 View
  12. Boehme P, Wienand P, Herrmann M, Truebel H, Mondritzki T. New digital adherence devices could prevent millions of strokes from atrial fibrillation by the end of the next century. Medical Hypotheses 2017;108:46 View
  13. Bell K, Haberer J. Actionable Adherence Monitoring: Technological Methods to Monitor and Support Adherence to Antiretroviral Therapy. Current HIV/AIDS Reports 2018;15(5):388 View
  14. Carreiro S, Chai P, Carey J, Chapman B, Boyer E. Integrating Personalized Technology in Toxicology: Sensors, Smart Glass, and Social Media Applications in Toxicology Research. Journal of Medical Toxicology 2017;13(2):166 View
  15. Browne S, Peloquin C, Santillo F, Haubrich R, Muttera L, Moser K, Savage G, Benson C, Blaschke T. Digitizing Medicines for Remote Capture of Oral Medication Adherence Using Co‐encapsulation. Clinical Pharmacology & Therapeutics 2018;103(3):502 View
  16. Bartlett Ellis R, Hill J, Kerley K, Sinha A, Ganci A, Russell C. The Feasibility of a Using a Smart Button Mobile Health System to Self-Track Medication Adherence and Deliver Tailored Short Message Service Text Message Feedback. JMIR Formative Research 2019;3(2):e13558 View
  17. Desai N, Edwards A, Ernest T, Tuleu C, Orlu M. ‘Big Data’ informed drug development: a case for acceptability. Drug Discovery Today 2021;26(4):865 View
  18. Chai P, Goodman G, Bustamante M, Mohamed Y, Castillo-Mancilla J, Boyer E, Mayer K, Rosen R, Baumgartner S, Buffkin E, O’Cleirigh C. Long-Term Stability of the Electronic Sensor Component of a Digital Pill System in Real-World Storage Settings. Journal of Pharmacy Technology 2021;37(3):135 View
  19. Chai P, Bustamante M, Goodman G, Mohamed Y, Najarro J, Sullivan M, Castillo-Mancilla J, Coyle R, Mayer K, Rosen R, Baumgartner S, Alpert P, Boyer E, O'Cleirigh C. A Brief Training Program to Support the Use of a Digital Pill System for Medication Adherence: Pilot Descriptive Study. JMIR Formative Research 2021;5(4):e26213 View
  20. Scheer J, Volkert A, Brich N, Weinert L, Santhanam N, Krone M, Ganslandt T, Boeker M, Nagel T. Visualization Techniques of Time-Oriented Data for the Comparison of Single Patients With Multiple Patients or Cohorts: Scoping Review. Journal of Medical Internet Research 2022;24(10):e38041 View
  21. Chai P, Goodman G, Bronzi O, Gonzales G, Baez A, Bustamante M, Najarro J, Mohamed Y, Sullivan M, Mayer K, Boyer E, O’Cleirigh C, Rosen R. Real-World User Experiences with a Digital Pill System to Measure PrEP Adherence: Perspectives from MSM with Substance Use. AIDS and Behavior 2022;26(7):2459 View
  22. Spataru A, van Dommelen P, Arnaud L, Le Masne Q, Quarteroni S, Koledova E. Use of machine learning to identify patients at risk of sub-optimal adherence: study based on real-world data from 10,929 children using a connected auto-injector device. BMC Medical Informatics and Decision Making 2022;22(1) View
  23. Adje Y, Brooks K, Castillo-Mancilla J, Wyles D, Anderson P, Kiser J. The use of technology-based adherence monitoring in the treatment of hepatitis C virus. Therapeutic Advances in Infectious Disease 2022;9 View
  24. Richey A, Kovacs I, Browne S. Use of an Ingestible, Sensor-Based Digital Adherence System to Strengthen the Therapeutic Relationship in Serious Mental Illness. JMIR Mental Health 2022;9(12):e39047 View
  25. Chai P, Mohamed Y, Goodman G, Bustamante M, Sullivan M, Najarro J, Mendez L, Mayer K, Boyer E, O’Cleirigh C, Rosen R. Development of a digital pill and respondent behavioral intervention (PrEPSteps) for HIV pre-exposure prophylaxis adherence among stimulant using men who have sex with men. Translational Behavioral Medicine 2022;12(1) View
  26. Chai P, Kaithamattam J, Chung M, Tom J, Goodman G, Hasdianda M, Carnes T, Vaduganathan M, Scirica B, Schnipper J. Formative Perceptions of a Digital Pill System to Measure Adherence to Heart Failure Pharmacotherapy: Mixed Methods Study. JMIR Cardio 2024;8:e48971 View
  27. Browne S, Umlauf A, Moore D, Benson C, Vaida F. User Experience of Persons Using Ingestible Sensor–Enabled Pre-Exposure Prophylaxis to Prevent HIV Infection: Cross-Sectional Survey Study. JMIR mHealth and uHealth 2024;12:e53596 View
  28. Ma J, Sun X, Liu B. A Review of Sensor-Based Interventions for Supporting Patient Adherence to Inhalation Therapy. Patient Preference and Adherence 2024;Volume 18:2397 View

Books/Policy Documents

  1. Theis S, Rasche P, Mertens A, Schlick C. Advances in Ergonomic Design of Systems, Products and Processes. View
  2. Theis S, Rasche P, Bröhl C, Wille M, Mertens A. Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety. View