Published on 22.06.16 in Vol 18, No 6 (2016): Jun
Works citing "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"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5429):
(note that this is only a small subset of citations)
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Persell SD, Karmali KN, Stein N, Li J, Peprah YA, Lipiszko D, Ciolino JD, 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
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Zaleski AL, Taylor BA, Park CL, Santos LP, Panza G, Kramarz M, McCormick K, Thompson PD, Fernandez AB, Chen M, Blissmer B, Gans KM, Pescatello LS. Using the immediate blood pressure benefits of exercise to improve exercise adherence among adults with hypertension. Journal of Hypertension 2019;37(9):1877
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Persell SD, Peprah YA, Lipiszko D, Lee JY, Li JJ, Ciolino JD, Karmali KN, 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
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Etebari F, Pezeshki MZ, 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
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Bilgrami Z, Abutaleb A, Chudy-Onwugaje K, Langenberg P, Regueiro M, Schwartz DA, Tracy JK, Ghazi L, Patil SA, Quezada SM, Russman KM, Quinn CC, Jambaulikar G, Beaulieu DB, Horst S, Cross RK. Effect of TELEmedicine for Inflammatory Bowel Disease on Patient Activation and Self-Efficacy. Digestive Diseases and Sciences 2020;65(1):96
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Georgi N, Kuchenbuch M, Corvol A, Jeannes RLB. An Overview of Blood Pressure Measurement in Telemonitoring Context. IEEE Consumer Electronics Magazine 2020;9(5):42
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Liu K, Xie Z, Or CK. 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
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David D, Barnes DE, McMahan RD, Shi Y, Katen MT, Sudore RL. Patient Activation: A Key Component of Successful Advance Care Planning. Journal of Palliative Medicine 2018;21(12):1778
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Ma Y, Cheng HY, Cheng L, Sit JW. 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
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De Marchi ACB, Alves ALSA, Gonçalves CBC, Cervi CR, Biduski D, Bellei EA, Madalozzo GA, Da Cruz IBM, Veiga JE, Rodriguez JPM, Ferretto LR, Bin LCP, Rebonatto MT, Portella MR, Roman MK, Cechetti NP, Rieder R, Debon R, Volpi SS. 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
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Gollamudi SS, Topol EJ, Wineinger NE. A framework for smartphone-enabled, patient-generated health data analysis. PeerJ 2016;4:e2284
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Gimbel R, Shi L, Williams JE, Dye CJ, Chen L, Crawford P, Shry EA, Griffin SF, Jones KO, Sherrill WW, Truong K, Little JR, Edwards KW, Hing M, Moss JB. 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
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Ng R, Carter SR, El-Den S. The impact of mobile applications on medication adherence: a systematic review. Translational Behavioral Medicine 2019;
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Buis LR, Roberson DN, Kadri R, Rockey NG, Plegue MA, Danak SU, Guetterman TC, Johnson MG, Choe HM, Richardson CR. 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
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Gimbel RW, Rennert LM, Crawford P, Little JR, Truong K, Williams JE, Griffin SF, Shi L, Chen L, Zhang L, Moss JB, Marshall RC, Edwards KW, Crawford KJ, 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
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Bostrom J, Sweeney G, Whiteson J, Dodson JA. Mobile health and cardiac rehabilitation in older adults. Clinical Cardiology 2020;43(2):118
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DeNicola N, Marko K. Connected Health and Mobile Apps in Obstetrics and Gynecology. Obstetrics and Gynecology Clinics of North America 2020;47(2):317
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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
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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
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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)
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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
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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
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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
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Delva S, Waligora Mendez KJ, Cajita M, Koirala B, Shan R, Wongvibulsin S, Vilarino V, Gilmore DR, Han H. Efficacy of Mobile Health for Self-management of Cardiometabolic Risk Factors. Journal of Cardiovascular Nursing 2021;36(1):34
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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
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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
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Cuevas H, Heitkemper E, Huang Y, Jang DE, García AA, Zuñiga JA. A systematic review and meta-analysis of patient activation in people living with chronic conditions. Patient Education and Counseling 2021;104(9):2200
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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
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Al-Arkee S, Mason J, Lane DA, Fabritz L, Chua W, Haque MS, 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
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AVCI A, GÜN M. Web Tabanlı Eğitimin Kardiyovasküler Hastalıkların Yönetimine Etkisi. Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi 2021;5(2):389
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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
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Graham SA, Stein N, Shemaj F, Branch OH, Paruthi J, Kanick SC. Older Adults Engage With Personalized Digital Coaching Programs at Rates That Exceed Those of Younger Adults. Frontiers in Digital Health 2021;3
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. A model of integrated remote monitoring and behaviour change for osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1)
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Treadwell JR, Rouse B, Reston J, Fontanarosa J, Patel N, Mull NK. Consumer Devices for Patient-Generated Health Data Using Blood Pressure Monitors for Managing Hypertension: Systematic Review. JMIR mHealth and uHealth 2022;10(5):e33261
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Mikulski BS, Bellei EA, Biduski D, De Marchi ACB. 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
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Jeon HO, 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
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Dwairej L, Ahmad M. Hypertension and mobile application for self-care, self-efficacy and related knowledge. Health Education Research 2022;37(3):199
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Bennett-Brown M, Gesselman AN, Miller WR. Constructive communication patterns as related to relationship satisfaction, seizure severity, and patient activation among people with epilepsy. Epilepsy & Behavior 2023;138:108957
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5429):
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Prayaga L, Prayaga C, Devulapalli K. Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). 2020. Chapter 15:139
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Seale DE, LeRouge CM, Ohs JE, Tao D, Lach HW, Jupka K, Wray R. Research Anthology on Improving Health Literacy Through Patient Communication and Mass Media. 2022. chapter 17:289
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. Emerging Practices in Telehealth. 2023. :183
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