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

Mobile Health (mhealth) (2941) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1400) mHealth for Treatment Adherence (398)

Published on in Vol 18, No 6 (2016): Jun

The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial

The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial

The Influence of Wireless Self-Monitoring Program on the Relationship Between Patient Activation and Health Behaviors, Medication Adherence, and Blood Pressure Levels in Hypertensive Patients: A Substudy of a Randomized Controlled Trial

Authors of this article:

Ju Young Kim1, 2 Author Orcid Image ;   Nathan. E. Wineinger1 Author Orcid Image ;   Steven. R. Steinhubl1 Author Orcid Image
Article Authors Cited by (121) Tweetations (15) Metrics

Journals

  1. MacKinnon G, Brittain E. Mobile Health Technologies in Cardiopulmonary Disease. Chest 2020;157(3):654 View
  2. Etminani K, Tao Engström A, Göransson C, Sant’Anna A, Nowaczyk S. How Behavior Change Strategies are Used to Design Digital Interventions to Improve Medication Adherence and Blood Pressure Among Patients With Hypertension: Systematic Review. Journal of Medical Internet Research 2020;22(4):e17201 View
  3. Alkawaldeh M, Choi J, Jacelon C. A diabetes self-management tablet-based application for older adults with type 2 diabetes: The ASSISTwell pilot study. Geriatric Nursing 2020;41(6):839 View
  4. Wechkunanukul K, Parajuli D, Hamiduzzaman M. Utilising digital health to improve medication-related quality of care for hypertensive patients: An integrative literature review. World Journal of Clinical Cases 2020;8(11):2266 View
  5. Seale D, LeRouge C, Ohs J, Tao D, Lach H, Jupka K, Wray R. Exploring Early Adopter Baby Boomers' Approach to Managing Their Health and Healthcare. International Journal of E-Health and Medical Communications 2019;10(1):94 View
  6. Rehman H, Kamal A, Morris P, Sayani S, Merchant A, Virani S. Mobile Health (mHealth) Technology for the Management of Hypertension and Hyperlipidemia: Slow Start but Loads of Potential. Current Atherosclerosis Reports 2017;19(3) View
  7. Minian N, Corrin T, Lingam M, deRuiter W, Rodak T, Taylor V, Manson H, Dragonetti R, Zawertailo L, Melamed O, Hahn M, Selby P. Identifying contexts and mechanisms in multiple behavior change interventions affecting smoking cessation success: a rapid realist review. BMC Public Health 2020;20(1) View
  8. Santo K, Redfern J. The Potential of mHealth Applications in Improving Resistant Hypertension Self-Assessment, Treatment and Control. Current Hypertension Reports 2019;21(10) View
  9. Kowalska M, Gładyś A, Kalańska-Łukasik B, Gruz-Kwapisz M, Wojakowski W, Jadczyk T. Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(12):e20456 View
  10. Armstrong C, Ciulla R, Williams S, Micheel L. An Applied Test of Knowledge Translation Methods Using a Mobile Health Solution. Military Medicine 2020;185(Supplement_1):526 View
  11. Jiang J, Zhu Q, Zheng Y, Zhu Y, Li Y, Huo Y. Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(2):e10117 View
  12. Zigdon A, Zigdon T, Moran D. Attitudes of Nurses Towards Searching Online for Medical Information for Personal Health Needs: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2020;22(3):e16133 View
  13. Wang J, Du Y, Coleman D, Peck M, Myneni S, Kang H, Gong Y. Mobile and Connected Health Technology Needs for Older Adults Aging in Place: Cross-Sectional Survey Study. JMIR Aging 2019;2(1):e13864 View
  14. Thangada N, Garg N, Pandey A, Kumar N. The Emerging Role of Mobile-Health Applications in the Management of Hypertension. Current Cardiology Reports 2018;20(9) View
  15. Haga S. Toward digital-based interventions for medication adherence and safety. Expert Opinion on Drug Safety 2020;19(6):735 View
  16. Vasti E, Pletcher M. Recruiting Student Health Coaches to Improve Digital Blood Pressure Management: Randomized Controlled Pilot Study. JMIR Formative Research 2020;4(8):e13637 View
  17. Peng Y, Wang H, Fang Q, Xie L, Shu L, Sun W, Liu Q. Effectiveness of Mobile Applications on Medication Adherence in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis. Journal of Managed Care & Specialty Pharmacy 2020;26(4):550 View
  18. McLean A. mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302 View
  19. Xiong S, Berkhouse H, Schooler M, Pu W, Sun A, Gong E, Yan L. Effectiveness of mHealth Interventions in Improving Medication Adherence Among People with Hypertension: a Systematic Review. Current Hypertension Reports 2018;20(10) View
  20. Searcy R, Summapund J, Estrin D, Pollak J, Schoenthaler A, Troxel A, Dodson J. Mobile Health Technologies for Older Adults with Cardiovascular Disease: Current Evidence and Future Directions. Current Geriatrics Reports 2019;8(1):31 View
  21. Umemura S, Arima H, Arima S, Asayama K, Dohi Y, Hirooka Y, Horio T, Hoshide S, Ikeda S, Ishimitsu T, Ito M, Ito S, Iwashima Y, Kai H, Kamide K, Kanno Y, Kashihara N, Kawano Y, Kikuchi T, Kitamura K, Kitazono T, Kohara K, Kudo M, Kumagai H, Matsumura K, Matsuura H, Miura K, Mukoyama M, Nakamura S, Ohkubo T, Ohya Y, Okura T, Rakugi H, Saitoh S, Shibata H, Shimosawa T, Suzuki H, Takahashi S, Tamura K, Tomiyama H, Tsuchihashi T, Ueda S, Uehara Y, Urata H, Hirawa N. The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019). Hypertension Research 2019;42(9):1235 View
  22. Eckerstorfer L, Tanzer N, Vogrincic-Haselbacher C, Kedia G, Brohmer H, Dinslaken I, Corcoran K. Key Elements of mHealth Interventions to Successfully Increase Physical Activity: Meta-Regression. JMIR mHealth and uHealth 2018;6(11):e10076 View
  23. Zheng Y, Weinger K, Greenberg J, Burke L, Sereika S, Patience N, Gregas M, Li Z, Qi C, Yamasaki J, Munshi M. Actual Use of Multiple Health Monitors Among Older Adults With Diabetes: Pilot Study. JMIR Aging 2020;3(1):e15995 View
  24. Persell S, Karmali K, Stein N, Li J, Peprah Y, Lipiszko D, Ciolino J, Sato H. Design of a randomized controlled trial comparing a mobile phone-based hypertension health coaching application to home blood pressure monitoring alone: The Smart Hypertension Control Study. Contemporary Clinical Trials 2018;73:92 View
  25. Zaleski A, Taylor B, Park C, Santos L, Panza G, Kramarz M, McCormick K, Thompson P, Fernandez A, Chen M, Blissmer B, Gans K, Pescatello L. Using the immediate blood pressure benefits of exercise to improve exercise adherence among adults with hypertension. Journal of Hypertension 2019;37(9):1877 View
  26. Persell S, Peprah Y, Lipiszko D, Lee J, Li J, Ciolino J, Karmali K, Sato H. Effect of Home Blood Pressure Monitoring via a Smartphone Hypertension Coaching Application or Tracking Application on Adults With Uncontrolled Hypertension. JAMA Network Open 2020;3(3):e200255 View
  27. Etebari F, Pezeshki M, Fakour S. Factors related to the non-adherence of medication and nonpharmacological recommendations in high blood pressure patients. Journal of Cardiovascular and Thoracic Research 2019;11(1):28 View
  28. Bilgrami Z, Abutaleb A, Chudy-Onwugaje K, Langenberg P, Regueiro M, Schwartz D, Tracy J, Ghazi L, Patil S, Quezada S, Russman K, Quinn C, Jambaulikar G, Beaulieu D, Horst S, Cross R. Effect of TELEmedicine for Inflammatory Bowel Disease on Patient Activation and Self-Efficacy. Digestive Diseases and Sciences 2020;65(1):96 View
  29. Georgi N, Kuchenbuch M, Corvol A, Jeannes R. An Overview of Blood Pressure Measurement in Telemonitoring Context. IEEE Consumer Electronics Magazine 2020;9(5):42 View
  30. Malhotra A, Crocker M, Willes L, Kelly C, Lynch S, Benjafield A. Patient Engagement Using New Technology to Improve Adherence to Positive Airway Pressure Therapy. Chest 2018;153(4):843 View
  31. 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
  32. Liu K, Xie Z, Or C. Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2020;8(8):e15779 View
  33. David D, Barnes D, McMahan R, Shi Y, Katen M, Sudore R. Patient Activation: A Key Component of Successful Advance Care Planning. Journal of Palliative Medicine 2018;21(12):1778 View
  34. Ma Y, Cheng H, Cheng L, Sit J. The effectiveness of electronic health interventions on blood pressure control, self-care behavioural outcomes and psychosocial well-being in patients with hypertension: A systematic review and meta-analysis. International Journal of Nursing Studies 2019;92:27 View
  35. De Marchi A, Alves A, Gonçalves C, Cervi C, Biduski D, Bellei E, Madalozzo G, Da Cruz I, Veiga J, Rodriguez J, Ferretto L, Bin L, Rebonatto M, Portella M, Roman M, Cechetti N, Rieder R, Debon R, Volpi S. An Electronic Health Platform for Monitoring Health Conditions of Patients With Hypertension in the Brazilian Public Health System: Protocol for a Nonrandomized Controlled Trial. JMIR Research Protocols 2020;9(1):e15299 View
  36. Gollamudi S, Topol E, Wineinger N. A framework for smartphone-enabled, patient-generated health data analysis. PeerJ 2016;4:e2284 View
  37. Gimbel R, Shi L, Williams J, Dye C, Chen L, Crawford P, Shry E, Griffin S, Jones K, Sherrill W, Truong K, Little J, Edwards K, Hing M, Moss J. Enhancing mHealth Technology in the Patient-Centered Medical Home Environment to Activate Patients With Type 2 Diabetes: A Multisite Feasibility Study Protocol. JMIR Research Protocols 2017;6(3):e38 View
  38. Ng R, Carter S, El-Den S. The impact of mobile applications on medication adherence: a systematic review. Translational Behavioral Medicine 2019 View
  39. Buis L, Roberson D, Kadri R, Rockey N, Plegue M, Danak S, Guetterman T, Johnson M, Choe H, Richardson C. Understanding the Feasibility, Acceptability, and Efficacy of a Clinical Pharmacist-led Mobile Approach (BPTrack) to Hypertension Management: Mixed Methods Pilot Study. Journal of Medical Internet Research 2020;22(8):e19882 View
  40. Gimbel R, Rennert L, Crawford P, Little J, Truong K, Williams J, Griffin S, Shi L, Chen L, Zhang L, Moss J, Marshall R, Edwards K, Crawford K, Hing M, Schmeltz A, Lumsden B, Ashby M, Haas E, Palazzo K. Enhancing Patient Activation and Self-Management Activities in Patients With Type 2 Diabetes Using the US Department of Defense Mobile Health Care Environment: Feasibility Study. Journal of Medical Internet Research 2020;22(5):e17968 View
  41. Bostrom J, Sweeney G, Whiteson J, Dodson J. Mobile health and cardiac rehabilitation in older adults. Clinical Cardiology 2020;43(2):118 View
  42. DeNicola N, Marko K. Connected Health and Mobile Apps in Obstetrics and Gynecology. Obstetrics and Gynecology Clinics of North America 2020;47(2):317 View
  43. Zare S, Rezaee R, Aslani A, Shirdeli M, Kojuri J. Moving toward community based telehealth services using mhealth for hypertensive patients. International Journal of Technology Assessment in Health Care 2019;35(5):379 View
  44. Bradway M, Gabarron E, Johansen M, Zanaboni P, Jardim P, Joakimsen R, Pape-Haugaard L, Årsand E. Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review. JMIR mHealth and uHealth 2020;8(4):e16814 View
  45. Xu L, Fang W, Zhu F, Zhang H, Liu K. A coordinated PCP-Cardiologist Telemedicine Model (PCTM) in China’s community hypertension care: study protocol for a randomized controlled trial. Trials 2017;18(1) View
  46. Gong K, Yan Y, Li Y, Du J, Wang J, Han Y, Zou Y, Zou X, Huang H, She Q. Mobile health applications for the management of primary hypertension. Medicine 2020;99(16):e19715 View
  47. Mao Y, Lin W, Wen J, Chen G. Impact and efficacy of mobile health intervention in the management of diabetes and hypertension: a systematic review and meta-analysis. BMJ Open Diabetes Research & Care 2020;8(1):e001225 View
  48. Liao Y, Wang L, Luo T, Wu S, Wu Z, Chen J, Pan C, Wang Y, Liu Y, Luo Q, Guo X, Xie L, Zhou J, Chen W, Tang J. Brief mindfulness-based intervention of ‘STOP (Stop, Take a Breath, Observe, Proceed) touching your face’: a study protocol of a randomised controlled trial. BMJ Open 2020;10(11):e041364 View
  49. Delva S, Waligora Mendez K, Cajita M, Koirala B, Shan R, Wongvibulsin S, Vilarino V, Gilmore D, Han H. Efficacy of Mobile Health for Self-management of Cardiometabolic Risk Factors. Journal of Cardiovascular Nursing 2021;36(1):34 View
  50. Xu H, Long H. The Effect of Smartphone App–Based Interventions for Patients With Hypertension: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2020;8(10):e21759 View
  51. Gao W, Lv X, Xu X, Zhang Z, Yan J, Mao G, Xing W. Telemedicine interventions to reduce blood pressure in a chronic disease population: A meta-analysis. Journal of Telemedicine and Telecare 2022;28(9):621 View
  52. Cuevas H, Heitkemper E, Huang Y, Jang D, García A, Zuñiga J. A systematic review and meta-analysis of patient activation in people living with chronic conditions. Patient Education and Counseling 2021;104(9):2200 View
  53. Wang W, Zhang H, Lin B, Zhang Z. Feasibility of a patient engagement and medication safety management program for older adults suffering cardiovascular disease in community settings. Medicine 2021;100(21):e26125 View
  54. Al-Arkee S, Mason J, Lane D, Fabritz L, Chua W, Haque M, Jalal Z. Mobile Apps to Improve Medication Adherence in Cardiovascular Disease: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(5):e24190 View
  55. AVCI A, GÜN M. Web Tabanlı Eğitimin Kardiyovasküler Hastalıkların Yönetimine Etkisi. Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi 2021;5(2):389 View
  56. Andersson U, Bengtsson U, Ranerup A, Midlöv P, Kjellgren K. Patients and Professionals as Partners in Hypertension Care: Qualitative Substudy of a Randomized Controlled Trial Using an Interactive Web-Based System Via Mobile Phone. Journal of Medical Internet Research 2021;23(6):e26143 View
  57. Graham S, Stein N, Shemaj F, Branch O, Paruthi J, Kanick S. Older Adults Engage With Personalized Digital Coaching Programs at Rates That Exceed Those of Younger Adults. Frontiers in Digital Health 2021;3 View
  58. Tack C. A model of integrated remote monitoring and behaviour change for osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1) View
  59. Treadwell J, Rouse B, Reston J, Fontanarosa J, Patel N, Mull N. Consumer Devices for Patient-Generated Health Data Using Blood Pressure Monitors for Managing Hypertension: Systematic Review. JMIR mHealth and uHealth 2022;10(5):e33261 View
  60. Mikulski B, Bellei E, Biduski D, De Marchi A. Mobile Health Applications and Medication Adherence of Patients With Hypertension: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2022;62(4):626 View
  61. Jeon H, Chae M, Kim A. Effects of medication adherence interventions for older adults with chronic illnesses: a systematic review and meta-analysis. Osong Public Health and Research Perspectives 2022;13(5):328 View
  62. Dwairej L, Ahmad M. Hypertension and mobile application for self-care, self-efficacy and related knowledge. Health Education Research 2022;37(3):199 View
  63. Bennett-Brown M, Gesselman A, Miller W. Constructive communication patterns as related to relationship satisfaction, seizure severity, and patient activation among people with epilepsy. Epilepsy & Behavior 2023;138:108957 View
  64. Østervang C, Lassen A, Schmidt T, Coyne E, Dieperink K, Jensen C. Development of a health information system to promote emergency care pathways: A participatory design study. DIGITAL HEALTH 2022;8:205520762211458 View
  65. Kwan Y, Yoon S, Tan C, Tai B, Tan W, Phang J, Tan N, Tan C, Quah Y, Koot D, Teo H, Low L. EMPOWERing Patients With Diabetes Using Profiling and Targeted Feedbacks Delivered Through Smartphone App and Wearable (EMPOWER): Protocol for a Randomized Controlled Trial on Effectiveness and Implementation. Frontiers in Public Health 2022;10 View
  66. 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
  67. Zakeri M, Esmaeili Nadimi A, Bazmandegan G, Zakeri M, Dehghan M. Psychometric Evaluation of Chronic Patients Using the Persian Version of Patient Activation Measure (PAM). Evaluation & the Health Professions 2023;46(2):115 View
  68. Paalimäki-Paakki K, Virtanen M, Henner A, Nieminen M, Kääriäinen M. Effectiveness of Digital Counseling Environments on Anxiety, Depression, and Adherence to Treatment Among Patients Who Are Chronically Ill: Systematic Review. Journal of Medical Internet Research 2022;24(1):e30077 View
  69. Chun-Yun Kang G. Technology-based interventions to improve adherence to antihypertensive medications – An evidence-based review. DIGITAL HEALTH 2022;8:205520762210897 View
  70. Zhou T, Wang R, Gu S, Xie L, Zhao Q, Xiao M, Chen Y. Effectiveness of Mobile Medical Apps in Ensuring Medication Safety Among Patients With Chronic Diseases: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(11):e39819 View
  71. Kanai M, Toda T, Yamamoto K, Akimoto M, Hagiwara Y. A Mobile Health-Based Disease Management Program Improves Blood Pressure in People With Multiple Lifestyle-Related Diseases at Risk of Developing Vascular Disease　― A Retrospective Observational Study ―. Circulation Reports 2022;4(7):322 View
  72. Sakima A, Matayoshi T, Arima H. Strategies for improving the treatment and control of hypertension in Japan. Journal of Human Hypertension 2022;38(6):510 View
  73. Taki F, Lurie J, Kaur G. An ethical plan for including forcibly displaced persons in omics and digital technology research. Nature Medicine 2022;28(6):1116 View
  74. Kario K, Harada N, Okura A. Digital Therapeutics in Hypertension: Evidence and Perspectives. Hypertension 2022;79(10):2148 View
  75. 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
  76. Cavero-Redondo I, Saz-Lara A, Sequí-Dominguez I, Gómez-Guijarro M, Ruiz-Grao M, Martinez-Vizcaino V, Álvarez-Bueno C. Comparative effect of eHealth interventions on hypertension management-related outcomes: A network meta-analysis. International Journal of Nursing Studies 2021;124:104085 View
  77. Lin W, Chiao C. Relationship between adverse childhood experiences and problematic internet use among young adults: The role of the feeling of loneliness trajectory. Journal of Behavioral Addictions 2022;11(4):1080 View
  78. Ma Y, Cheng H, Sit J, Chien W. The effects of a smartphone-enhanced nurse-facilitated self-care intervention for Chinese hypertensive patients: A randomised controlled trial. International Journal of Nursing Studies 2022;134:104313 View
  79. Farias F, Falavigna V, Viapiana M, Falavigna A. Remote patient monitoring in spine surgery. Journal of Musculoskeletal Surgery and Research 2022;6:160 View
  80. Alsaqer K, Bebis H. Self-care of hypertension of older adults during COVID-19 lockdown period: a randomized controlled trial. Clinical Hypertension 2022;28(1) View
  81. Marzban S, Najafi M, Agolli A, Ashrafi E. Impact of Patient Engagement on Healthcare Quality: A Scoping Review. Journal of Patient Experience 2022;9 View
  82. Price J, Santos H, Bueno A. The effectiveness of automated digital health solutions at successfully managing obesity and obesity-associated disorders: A PICO-structured investigation. DIGITAL HEALTH 2022;8:205520762210913 View
  83. Trinquart L, Liu C, McManus D, Nowak C, Lin H, Spartano N, Borrelli B, Benjamin E, Murabito J. Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e40784 View
  84. Arshed M, Mahmud A, Minhat H, Ying L, Umer M. Effectiveness of mHealth Interventions in Medication Adherence among Patients with Cardiovascular Diseases: A Systematic Review. Diseases 2023;11(1):41 View
  85. Li C, Huang J, Wu H, Li F, Zhao Y, Zhang Z, Li S, Wei H, Zhang M, Sun H, Yang J, Li Q, Li X, Qi W, Wei W, Li Y, Li Z, Wang Y, Zhang F, Wu H, Shuai Z, Wu Z, Li Y, Jia S, Jia Y, Xiao F, Mu R, Li Z. Management of Rheumatoid Arthritis With a Digital Health Application. JAMA Network Open 2023;6(4):e238343 View
  86. 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
  87. Einhorn J, Murphy A, Rogal S, Suffoletto B, Irizarry T, Rollman B, Forman D, Muldoon M. Automated Messaging Program to Facilitate Systematic Home Blood Pressure Monitoring: Qualitative Analysis of Provider Interviews. JMIR Cardio 2023;7:e51316 View
  88. Zimbudzi E, Lo C, Ranasinha S, Usherwood T, Polkinghorne K, Fulcher G, Gallagher M, Jan S, Cass A, Walker R, Russell G, Johnson G, Kerr P, Zoungas S. A codesigned integrated kidney and diabetes model of care improves patient activation among patients from culturally and linguistically diverse backgrounds. Health Expectations 2023;26(6):2584 View
  89. Bentlage E, Nyamadi J, Dubbeldam R. The Importance of Activating Factors in Physical Activity Interventions for Older Adults Using Information and Communication Technologies: Systematic Review. JMIR mHealth and uHealth 2023;11:e42968 View
  90. Yuan W, Zhang Y, MA L. Comparative Different Interventions to Improve Medication Adherence in Patients with Hypertension. Journal of Cardiovascular Nursing 2023 View
  91. Hezer B, Massey E, Reinders M, Tielen M, van de Wetering J, Hesselink D, van den Hoogen M. Telemedicine for Kidney Transplant Recipients: Current State, Advantages, and Barriers. Transplantation 2024;108(2):409 View
  92. Park S, Woo H, Kim S, Kim S, Lim H, Yon D, Rhee S. Real-World Evidence of a Hospital-Linked Digital Health App for the Control of Hypertension and Diabetes Mellitus in South Korea: Nationwide Multicenter Study. JMIR Formative Research 2023;7:e48332 View
  93. Iqbal M, Newman B, Ellis L, Mears S, Harrison R. Characterising consumer engagement in virtual models of care: A systematic review and narrative synthesis. Patient Education and Counseling 2023;115:107922 View
  94. Liu F, Song T, Yu P, Deng N, Guan Y, Yang Y, Ma Y. Efficacy of an mHealth App to Support Patients’ Self-Management of Hypertension: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e43809 View
  95. Stichler J, Pelletier L. Applying the Patient Empowerment, Engagement, and Activation Survey to Improve Patient Outcomes. JONA: The Journal of Nursing Administration 2023;53(12):668 View
  96. Kengne A, Brière J, Gudiña I, Jiang X, Kodjamanova P, Bennetts L, Khan Z. The impact of non-pharmacological interventions on adherence to medication and persistence in dyslipidaemia and hypertension: a systematic review. Expert Review of Pharmacoeconomics & Outcomes Research 2024;24(7):807 View
  97. Salarvand S, Farzanpour F, Gharaei H. The effect of personalized mobile health (mHealth) in cardiac rehabilitation for discharged elderly patients after acute myocardial infarction on their inner strength and resilience. BMC Cardiovascular Disorders 2024;24(1) View
  98. Andersson U, Nilsson P, Kjellgren K, Ekholm M, Midlöv P. Associations between daily home blood pressure measurements and self-reports of lifestyle and symptoms in primary care: the PERHIT study. Scandinavian Journal of Primary Health Care 2024;42(3):415 View
  99. Zhang H, Huo X, Ren L, Lu J, Li J, Zheng X, Liu J, Ma W, Yuan J, Diao X, Wu C, Zhang X, Wang J, Zhao W, Hu S. Design and rationale of the Comprehensive intelligent Hypertension managEment SyStem (CHESS) evaluation study: A cluster randomized controlled trial for hypertension management in primary care. American Heart Journal 2024;273:90 View
  100. Collart C, Craighead C, Yao M, Rose S, Chien E, Frankel R, Coleridge M, Hu B, Edmonds B, Ranzini A, Farrell R. Reducing decisional conflict in decisions about prenatal genetic testing: the impact of a dyadic intervention at the start of prenatal care. Journal of Perinatal Medicine 2024;52(5):467 View
  101. Su W, Chen T, Wu C, Shih L, Liu C, Hsueh Y. The association between comprehensive patient-centered care and health-related quality of life (HRQoL) for patients with chronic viral hepatitis–A pathway analysis. Journal of the Formosan Medical Association 2024;123(10):1057 View
  102. Zimbudzi E, Lo C, Ranasinha S, Fulcher G, Jan S, Kerr P, Polkinghorne K, Russell G, Walker R, Zoungas S. Factors associated with patient activation in an Australian population with comorbid diabetes and chronic kidney disease: a cross-sectional study. BMJ Open 2017;7(10):e017695 View
  103. Kim Y, Kang Y, Kim B, Kim J, Kim G. Exploring the role of engagement and adherence in chatbot-based cognitive training for older adults: memory function and mental health outcomes. Behaviour & Information Technology 2024:1 View
  104. Alrayshouni Z, Dayekh A, El‐Tassi A, Pakai A. Rationalizing the Influence of Co‐Design on Distress, Clinical Decision‐Making and Disease Self‐Management of Cancer Patients‐as‐Partners: A Quasi‐Experimental Study. Health Expectations 2024;27(3) View
  105. Rosa D, Peverelli M, Poliani A, Villa G, Manara D. Exploring Hypertension Patient Engagement Using mHealth. A Scoping Review. High Blood Pressure & Cardiovascular Prevention 2024;31(4):341 View
  106. Bandeira A, Gama de Melo P, Johann E, Ritti-Dias R, Rech C, Gerage A. Effect of m-Health-Based Interventions on Blood Pressure: An Updated Systematic Review with Meta-Analysis. Telemedicine and e-Health 2024;30(9):2402 View
  107. Yap H, Lim J, Tan S, Ang C. Effectiveness of digital health interventions on adherence and control of hypertension: a systematic review and meta-analysis. Journal of Hypertension 2024;42(9):1490 View
  108. Miao Y, Luo Y, Zhao Y, Liu M, Wang H, Wu Y. Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e58013 View
  109. Alzghoul B. Impact of Artificial Intelligence on Healthcare Quality: A Systematic Review and Meta-Analysis. The Open Public Health Journal 2024;17(1) View
  110. Yi J, Lee S, Lee S. The effect of the Smart Health Continuous Feedback For Elderly Exercise (SHe CoFFEE) program on mobility: a randomized controlled pilot study. Frontiers in Public Health 2024;12 View
  111. Abdelmalak N, Burns J, Suhlrie L, Laxy M, Stephan A. Consideration of inequalities in effectiveness trials of mHealth applications – a systematic assessment of studies from an umbrella review. International Journal for Equity in Health 2024;23(1) View
  112. Ranieri J, Guerra F, Angione A, Di Giacomo D, Passafiume D. Cognitive Reserve and Digital Confidence among Older Adults as New Paradigm for Resilient Aging. Gerontology and Geriatric Medicine 2021;7 View
  113. Abe M, Hirata T, Morito N, Kawashima M, Yoshida S, Takami Y, Fujimoto T, Kawasoe S, Shibukawa T, Segawa H, Yamanokuchi T, Ishida S, Takahashi K, Tada K, Kato Y, Sakima A, Arima H. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis. Hypertension Research 2024 View
  114. Xu W, Lin X, Lai H, Ren Y, Ye H, Lin T. Involvement in medication safety behaviors among older people with chronic diseases: systematic review of intervention studies. BMC Geriatrics 2024;24(1) View
  115. Silva C, Presseau J, van Allen Z, Dinsmore J, Schenk P, Moreto M, Marques M. Components of multiple health behaviour change interventions for patients with chronic conditions: a systematic review and meta-regression of randomized trials. Health Psychology Review 2024:1 View
  116. Yildirim Keskin A, Özpancar Şolpan N, Değirmenci H. The Effect of Mobile Application Follow‐Up on Treatment Compliance and Self‐Care Management in Patients With Hypertension: Randomized Controlled Trial. Public Health Nursing 2024 View
  117. Moulaei K, Parhizkar Roudsari P, Shahrokhi Sardoo A, Hosseini M, Anabestani M, Moulaei R, Sabet B, Afrash M. Assessing the impact of telemedicine interventions on systolic and diastolic blood pressure reduction: A systematic review and meta-analysis. Journal of Telemedicine and Telecare 2024 View

Books/Policy Documents

  1. Prayaga L, Prayaga C, Devulapalli K. Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). View
  2. Seale D, LeRouge C, Ohs J, Tao D, Lach H, Jupka K, Wray R. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. View
  3. Andrikopoulou E. Emerging Practices in Telehealth. View