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

eHealth Infrastructures (357) Clinical Informatics (1050) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Electronic Health Records (1068)

Published on in Vol 4, No 1 (2016): Jan-Mar

Integration of Provider, Pharmacy, and Patient-Reported Data to Improve Medication Adherence for Type 2 Diabetes: A Controlled Before-After Pilot Study

Integration of Provider, Pharmacy, and Patient-Reported Data to Improve Medication Adherence for Type 2 Diabetes: A Controlled Before-After Pilot Study

Integration of Provider, Pharmacy, and Patient-Reported Data to Improve Medication Adherence for Type 2 Diabetes: A Controlled Before-After Pilot Study

Authors of this article:

Brian Dixon1, 2, 3 Author Orcid Image ;   Abdullah H Alzeer4 Author Orcid Image ;   Erin O'Kelly Phillips5 Author Orcid Image ;   David G Marrero5, 6 Author Orcid Image
Article Authors Cited by (19) Tweetations (11) Metrics

Journals

  1. Yousif A, Lemière C, Cartier A, Forget A, Blais L. Development of a graphical tool to measure medication adherence in asthma patients: A mixed-methods pilot study. Journal of Asthma 2019;56(5):543 View
  2. Chu L, Kannan V, Basit M, Schaeflein D, Ortuzar A, Glorioso J, Buchanan J, Willett D. SNOMED CT Concept Hierarchies for Computable Clinical Phenotypes From Electronic Health Record Data: Comparison of Intensional Versus Extensional Value Sets. JMIR Medical Informatics 2019;7(1):e11487 View
  3. Duckworth M, Leung E, Fuller T, Espares J, Couture B, Chang F, Businger A, Collins S, Dalal A, Fladger A, Schnipper J, Schnock K, Bates D, Dykes P. Nurse, Patient, and Care Partner Perceptions of a Personalized Safety Plan Screensaver. Journal of Gerontological Nursing 2017;43(4):15 View
  4. McDonough C, Smith S, Cooper-DeHoff R, Hogan W. Optimizing Antihypertensive Medication Classification in Electronic Health Record-Based Data: Classification System Development and Methodological Comparison. JMIR Medical Informatics 2020;8(2):e14777 View
  5. Fénélon-Dimanche R, Guénette L, Trudel-Bourgault F, Yousif A, Lalonde G, Beauchesne M, Collin J, Blais L. Development of an electronic tool (e-AdPharm) to address unmet needs and barriers of community pharmacists to provide medication adherence support to patients. Research in Social and Administrative Pharmacy 2021;17(3):506 View
  6. Dixon B, Barboza K, Jensen A, Bennett K, Sherman S, Schwartz M. Measuring Practicing Clinicians’ Information Literacy. Applied Clinical Informatics 2017;26(01):149 View
  7. Groenhof T, Asselbergs F, Groenwold R, Grobbee D, Visseren F, Bots M. The effect of computerized decision support systems on cardiovascular risk factors: a systematic review and meta-analysis. BMC Medical Informatics and Decision Making 2019;19(1) View
  8. Ertel A, Kaiser T, Abbott D, Shah S. Use of video-based education and tele-health home monitoring after liver transplantation: Results of a novel pilot study. Surgery 2016;160(4):869 View
  9. Knell G, Li Q, Pettee Gabriel K, Shuval K. Long-Term Weight Loss and Metabolic Health in Adults Concerned With Maintaining or Losing Weight: Findings From NHANES. Mayo Clinic Proceedings 2018;93(11):1611 View
  10. Yousif A, Lemière C, Forget A, Beauchesne M, Blais L. Feasibility of implementing a web-based tool built from pharmacy claims data (e-MEDRESP) to monitor adherence to respiratory medications in primary care. Current Medical Research and Opinion 2022;38(12):2055 View
  11. Zairina E, Nugraheni G, Sulistyarini A, Mufarrihah , Setiawan C, Kripalani S, Lestari S. Factors related to barriers and medication adherence in patients with type 2 diabetes mellitus: a cross-sectional study. Journal of Diabetes & Metabolic Disorders 2022;21(1):219 View
  12. Chen W, O’Bryan C, Gorham G, Howard K, Balasubramanya B, Coffey P, Abeyaratne A, Cass A. Barriers and enablers to implementing and using clinical decision support systems for chronic diseases: a qualitative systematic review and meta-aggregation. Implementation Science Communications 2022;3(1) View
  13. Brands M, Gouw S, Beestrum M, Cronin R, Fijnvandraat K, Badawy S. Patient-Centered Digital Health Records and Their Effects on Health Outcomes: Systematic Review. Journal of Medical Internet Research 2022;24(12):e43086 View
  14. Alarifi M, Jabour A, Foy D, Zolnoori M. Identifying the underlying factors associated with antidepressant drug discontinuation: content analysis of patients’ drug reviews. Informatics for Health and Social Care 2022;47(4):414 View
  15. Chen W, Howard K, Gorham G, O’Bryan C, Coffey P, Balasubramanya B, Abeyaratne A, Cass A. Design, effectiveness, and economic outcomes of contemporary chronic disease clinical decision support systems: a systematic review and meta-analysis. Journal of the American Medical Informatics Association 2022;29(10):1757 View
  16. Jabour A, Alamoudi A, Alarifi M, Almansour H, Varghese J, Ghailan K, Almalki M, Moafa H, Alotaibi A. Patients ranking E-health improvement initiatives in primary care centers. Informatics in Medicine Unlocked 2022;31:100972 View
  17. Helminski D, Sussman J, Pfeiffer P, Kokaly A, Ranusch A, Renji A, Damschroder L, Landis-Lewis Z, Kurlander J. Development, implementation, and evaluation methods for dashboards in health care: Scoping Review (Preprint). JMIR Medical Informatics 2024 View

Books/Policy Documents

  1. Dixon B, Grannis S. Public Health Informatics and Information Systems. View