Published on in Vol 19, No 9 (2017): September

Personalized Hypertension Management Using Patient-Generated Health Data Integrated With Electronic Health Records (EMPOWER-H): Six-Month Pre-Post Study

Personalized Hypertension Management Using Patient-Generated Health Data Integrated With Electronic Health Records (EMPOWER-H): Six-Month Pre-Post Study

Personalized Hypertension Management Using Patient-Generated Health Data Integrated With Electronic Health Records (EMPOWER-H): Six-Month Pre-Post Study

Journals

  1. Rodriguez S, Hwang K, Wang J. Connecting Home-Based Self-Monitoring of Blood Pressure Data Into Electronic Health Records for Hypertension Care: A Qualitative Inquiry With Primary Care Providers. JMIR Formative Research 2019;3(2):e10388 View
  2. Shen X, Zhou Y, Tong G, Liu T, Wang D. Characterizing individual patient and tailoring personalized continued hypertension management using serial self-monitored data (Preprint). JMIR Cardio 2019 View
  3. Choo H, Kim M, Choi J, Shin J, Shin S. Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study. Journal of Medical Internet Research 2020;22(10):e21369 View
  4. Trachana K, Bargaje R, Glusman G, Price N, Huang S, Hood L. Taking Systems Medicine to Heart. Circulation Research 2018;122(9):1276 View
  5. Paslakis G, Fischer-Jacobs J, Pape L, Schiffer M, Gertges R, Tegtbur U, Zimmermann T, Nöhre M, de Zwaan M. Assessment of Use and Preferences Regarding Internet-Based Health Care Delivery: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2019;21(5):e12416 View
  6. Reading M, Merrill J. Converging and diverging needs between patients and providers who are collecting and using patient-generated health data: an integrative review. Journal of the American Medical Informatics Association 2018;25(6):759 View
  7. Shimbo D, Artinian N, Basile J, Krakoff L, Margolis K, Rakotz M, Wozniak G. Self-Measured Blood Pressure Monitoring at Home: A Joint Policy Statement From the American Heart Association and American Medical Association. Circulation 2020;142(4) View
  8. Nittas V, Lun P, Ehrler F, Puhan M, Mütsch M. Electronic Patient-Generated Health Data to Facilitate Disease Prevention and Health Promotion: Scoping Review. Journal of Medical Internet Research 2019;21(10):e13320 View
  9. Cesari M, Araujo de Carvalho I, Amuthavalli Thiyagarajan J, Cooper C, Martin F, Reginster J, Vellas B, Beard J. Evidence for the Domains Supporting the Construct of Intrinsic Capacity. The Journals of Gerontology: Series A 2018;73(12):1653 View
  10. Adler-Milstein J, Nong P. Early experiences with patient generated health data: health system and patient perspectives. Journal of the American Medical Informatics Association 2019;26(10):952 View
  11. Vuppala S, Turer C. Clinical Decision Support for the Diagnosis and Management of Adult and Pediatric Hypertension. Current Hypertension Reports 2020;22(9) View
  12. Breteler M, Janssen J, Spiering W, Kalkman C, van Solinge W, Dohmen D. Measuring Free-Living Physical Activity With Three Commercially Available Activity Monitors for Telemonitoring Purposes: Validation Study. JMIR Formative Research 2019;3(2):e11489 View
  13. Nittas V, Mütsch M, Ehrler F, Puhan M. Electronic patient-generated health data to facilitate prevention and health promotion: a scoping review protocol. BMJ Open 2018;8(8):e021245 View
  14. Gandrup J, Ali S, McBeth J, van der Veer S, Dixon W. Remote symptom monitoring integrated into electronic health records: A systematic review. Journal of the American Medical Informatics Association 2020;27(11):1752 View
  15. Lewinski A, Drake C, Shaw R, Jackson G, Bosworth H, Oakes M, Gonzales S, Jelesoff N, Crowley M. Bridging the integration gap between patient-generated blood glucose data and electronic health records. Journal of the American Medical Informatics Association 2019;26(7):667 View
  16. Burgermaster M, Son J, Davidson P, Smaldone A, Kuperman G, Feller D, Burt K, Levine M, Albers D, Weng C, Mamykina L. A new approach to integrating patient-generated data with expert knowledge for personalized goal setting: A pilot study. International Journal of Medical Informatics 2020;139:104158 View
  17. Demiris G, Iribarren S, Sward K, Lee S, Yang R. Patient generated health data use in clinical practice: A systematic review. Nursing Outlook 2019;67(4):311 View
  18. Austin E, Lee J, Amtmann D, Bloch R, Lawrence S, McCall D, Munson S, Lavallee D. Use of patient-generated health data across healthcare settings: implications for health systems. JAMIA Open 2020;3(1):70 View
  19. Wu D, Xin C, Bindhu S, Xu C, Sachdeva J, Brown J, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Formative Research 2020;4(8):e18123 View
  20. Li D, Wei X, Wu H, Liu X, Ge C, Gao W. Effect of an intelligent family physician-optimised coordination model program on hypertension management in a Beijing community. Australian Journal of Primary Health 2020;26(5):402 View
  21. Baderol Allam F, Ab Hamid M, Buhari S, Md Noor H. Web-Based Dietary and Physical Activity Intervention Programs for Patients With Hypertension: Scoping Review. Journal of Medical Internet Research 2021;23(3):e22465 View
  22. Lee J, Kim H, Kim J. Out-of-Hospital Data: Patient Generated Health Data. The Journal of Korean Diabetes 2020;21(3):149 View
  23. Brown-Johnson C, Safaeinili N, Baratta J, Palaniappan L, Mahoney M, Rosas L, Winget M. Implementation outcomes of Humanwide: integrated precision health in team-based family practice primary care. BMC Family Practice 2021;22(1) View
  24. Lewinski A, Bosworth H, Goldstein K, Gierisch J, Jazowski S, McCant F, White-Clark C, Smith V, Zullig L. Improving cardiovascular outcomes by using team-supported, EHR-leveraged, active management: Disseminating a successful quality improvement project. Contemporary Clinical Trials Communications 2021;21:100705 View
  25. Ling D, Wang R, Chen Q, Liu X, Qi X, Chen C, Shi X, Dong Z. Assessment of chronic disease management mode (CDMM) on participants with primary hypertension. Tropical Medicine & International Health 2021;26(7):829 View
  26. Vaughn J, Shah N, Docherty S, Yang Q, Shaw R. Symptom Monitoring in Children With Life-Threatening Illness. Advances in Nursing Science 2021;44(3):268 View
  27. Khan N, Stergiou G, Omboni S, Kario K, Renna N, Chapman N, McManus R, Williams B, Parati G, Konradi A, Islam S, Itoh H, Mooi C, Green B, Cho M, Tomaszewski M. Virtual management of hypertension: lessons from the COVID-19 pandemic–International Society of Hypertension position paper endorsed by the World Hypertension League and European Society of Hypertension. Journal of Hypertension 2022;40(8):1435 View
  28. Lu Y, Zhang Y, Tian Y. Research progress of intelligent management model application in hospital-at-home care. Journal of Physics: Conference Series 2023;2425(1):012041 View
  29. Parati G, Goncalves A, Soergel D, Bruno R, Caiani E, Gerdts E, Mahfoud F, Mantovani L, McManus R, Santalucia P, Kahan T. New perspectives for hypertension management: progress in methodological and technological developments. European Journal of Preventive Cardiology 2023;30(1):48 View
  30. Willis V, Thomas Craig K, Jabbarpour Y, Scheufele E, Arriaga Y, Ajinkya M, Rhee K, Bazemore A. Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review. JMIR Medical Informatics 2022;10(1):e33518 View
  31. Zu B, Yang Y, Shi S, Li B. Effects of Different Doses of Dexmedetomidine Combined with Thoracic Paravertebral Nerve Block Anesthesia on Agitation and Hemodynamics in Patients Undergoing Thoracotomy during Recovery. Evidence-Based Complementary and Alternative Medicine 2022;2022:1 View
  32. Baratta J, Brown-Johnson C, Safaeinili N, Goldman Rosas L, Palaniappan L, Winget M, Mahoney M. Patient and Health Professional Perceptions of Telemonitoring for Hypertension Management: Qualitative Study. JMIR Formative Research 2022;6(6):e32874 View
  33. Kawu A, Hederman L, Doyle J, O'Sullivan D. Patient generated health data and electronic health record integration, governance and socio-technical issues: A narrative review. Informatics in Medicine Unlocked 2023;37:101153 View
  34. Wang P, Li T, Yu L, Zhou L, Yan T. Towards an effective framework for integrating patient-reported outcomes in electronic health records. DIGITAL HEALTH 2022;8:205520762211121 View
  35. Patterson K, Davey R, Keegan R, Freene N, Bergman P. Smartphone applications for physical activity and sedentary behaviour change in people with cardiovascular disease: A systematic review and meta-analysis. PLOS ONE 2021;16(10):e0258460 View
  36. Wannheden C, Åberg-Wennerholm M, Dahlberg M, Revenäs Å, Tolf S, Eftimovska E, Brommels M. Digital Health Technologies Enabling Partnerships in Chronic Care Management: Scoping Review. Journal of Medical Internet Research 2022;24(8):e38980 View
  37. Yilmaz E, Uzuner A, Bajgora M, Dogan B, Altikardes Z, Kavakli Geris B, Akdeniz E. Effect of eTansiyon smartphone application on hypertension control. Primary Health Care Research & Development 2022;23 View
  38. Chapman N, Marques F, Picone D, Adji A, Broughton B, Dinh Q, Gabb G, Lambert G, Mihailidou A, Nelson M, Stowasser M, Schlaich M, Schultz M, Mynard J, Climie R. Content and delivery preferences for information to support the management of high blood pressure. Journal of Human Hypertension 2022;38(1):70 View
  39. Kawu A, O’Sullivan D, Hederman L, Van Reisen M, Magagna B. FAIR4PGHD: A framework for FAIR implementation over PGHD. FAIR Connect 2023;1(1):35 View
  40. Alam S, Zhang M, Harris K, Fletcher L, Reneker J. The Impact of Consumer Wearable Devices on Physical Activity and Adherence to Physical Activity in Patients with Cardiovascular Disease: A Systematic Review of Systematic Reviews and Meta-Analyses. Telemedicine and e-Health 2023;29(7):986 View
  41. Wu J, Napoleone J, Linke S, Noble M, Turken M, Rakotz M, Kirley K, Folk Akers J, Juusola J, Jasik C. Long-Term Results of a Digital Hypertension Self-Management Program: Retrospective Cohort Study. JMIR Cardio 2023;7:e43489 View
  42. Morgan T, Faught E, Ross-White A, Fortier M, Duggan M, Jain R, Lane K, Lorbergs A, Maclaren K, McFadden T, Tomasone J. Tools to guide clinical discussions on physical activity, sedentary behaviour, and/or sleep for health promotion between primary care providers and adults accessing care: a scoping review. BMC Primary Care 2023;24(1) View
  43. Hohman K, Zambarano B, Klompas M, Wall H, Kraus E, Carton T, Jackson S. Development of a Hypertension Electronic Phenotype for Chronic Disease Surveillance in Electronic Health Records: Key Analytic Decisions and Their Effects. Preventing Chronic Disease 2023;20 View
  44. Patterson K, Davey R, Keegan R, Niyonsenga T, Mohanty I, Bowen S, Regan E, Lander M, van Berlo S, Freene N. Testing the Effect of a Smartphone App on Hospital Admissions and Sedentary Behavior in Cardiac Rehabilitation Participants: ToDo-CR Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e48229 View
  45. Putri L, Kurniawan A, Mamesah M, Trisnawuri S. Perspektif Pasien Hipertensi Terhadap Implementasi Personal Health Record Berdasarkan Technology Acceptance Model. Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo 2023;9(2):332 View

Books/Policy Documents

  1. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. View
  2. Ulapane N, Wickramasinghe N. Optimizing Health Monitoring Systems With Wireless Technology. View
  3. Lin P, Tyson C, Svetkey L. Nutrition Guide for Physicians and Related Healthcare Professions. View
  4. Lin P, Tyson C, Svetkey L. Nutritional Health. View