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Published on 22.06.16 in Vol 18, No 6 (2016): Jun

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

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)

  1. MacKinnon GE, Brittain EL. Mobile Health Technologies in Cardiopulmonary Disease. Chest 2020;157(3):654
    CrossRef
  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
    CrossRef
  3. Alkawaldeh MY, Choi J, Jacelon CS. A diabetes self-management tablet-based application for older adults with type 2 diabetes: The ASSISTwell pilot study. Geriatric Nursing 2020;41(6):839
    CrossRef
  4. Wechkunanukul K, Parajuli DR, 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
    CrossRef
  5. Seale DE, LeRouge CM, Ohs JE, Tao D, Lach HW, 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
    CrossRef
  6. Rehman H, Kamal AK, Morris PB, Sayani S, Merchant AT, Virani SS. Mobile Health (mHealth) Technology for the Management of Hypertension and Hyperlipidemia: Slow Start but Loads of Potential. Current Atherosclerosis Reports 2017;19(3)
    CrossRef
  7. Minian N, Corrin T, Lingam M, deRuiter WK, Rodak T, Taylor VH, Manson H, Dragonetti R, Zawertailo L, Melamed OC, 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)
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  10. Armstrong CM, Ciulla RP, Williams SA, Micheel LJ. An Applied Test of Knowledge Translation Methods Using a Mobile Health Solution. Military Medicine 2020;185(Supplement_1):526
    CrossRef
  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
    CrossRef
  12. Zigdon A, Zigdon T, Moran DS. 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
    CrossRef
  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
    CrossRef
  14. Thangada ND, Garg N, Pandey A, Kumar N. The Emerging Role of Mobile-Health Applications in the Management of Hypertension. Current Cardiology Reports 2018;20(9)
    CrossRef
  15. . Toward digital-based interventions for medication adherence and safety. Expert Opinion on Drug Safety 2020;19(6):735
    CrossRef
  16. Vasti E, Pletcher MJ. Recruiting Student Health Coaches to Improve Digital Blood Pressure Management: Randomized Controlled Pilot Study. JMIR Formative Research 2020;4(8):e13637
    CrossRef
  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
    CrossRef
  18. . mHealth Apps as Effective Persuasive Health Technology: Contextualizing the “Necessary” Functionalities. JMIR Nursing 2020;3(1):e19302
    CrossRef
  19. Xiong S, Berkhouse H, Schooler M, Pu W, Sun A, Gong E, Yan LL. Effectiveness of mHealth Interventions in Improving Medication Adherence Among People with Hypertension: a Systematic Review. Current Hypertension Reports 2018;20(10)
    CrossRef
  20. Searcy RP, Summapund J, Estrin D, Pollak JP, Schoenthaler A, Troxel AB, Dodson JA. Mobile Health Technologies for Older Adults with Cardiovascular Disease: Current Evidence and Future Directions. Current Geriatrics Reports 2019;8(1):31
    CrossRef
  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
    CrossRef
  22. Eckerstorfer LV, Tanzer NK, 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
    CrossRef
  23. Zheng Y, Weinger K, Greenberg J, Burke LE, Sereika SM, Patience N, Gregas MC, Li Z, Qi C, Yamasaki J, Munshi MN. Actual Use of Multiple Health Monitors Among Older Adults With Diabetes: Pilot Study. JMIR Aging 2020;3(1):e15995
    CrossRef
  24. 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
    CrossRef
  25. 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
    CrossRef
  26. 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
    CrossRef
  27. 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
    CrossRef
  28. 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
    CrossRef
  29. 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
    CrossRef
  30. Malhotra A, Crocker ME, Willes L, Kelly C, Lynch S, Benjafield AV. Patient Engagement Using New Technology to Improve Adherence to Positive Airway Pressure Therapy. Chest 2018;153(4):843
    CrossRef
  31. Wong ZS, 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
    CrossRef
  32. 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
    CrossRef
  33. 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
    CrossRef
  34. 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
    CrossRef
  35. 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
    CrossRef
  36. Gollamudi SS, Topol EJ, Wineinger NE. A framework for smartphone-enabled, patient-generated health data analysis. PeerJ 2016;4:e2284
    CrossRef
  37. 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
    CrossRef
  38. Ng R, Carter SR, El-Den S. The impact of mobile applications on medication adherence: a systematic review. Translational Behavioral Medicine 2019;
    CrossRef
  39. 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
    CrossRef
  40. 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
    CrossRef
  41. Bostrom J, Sweeney G, Whiteson J, Dodson JA. Mobile health and cardiac rehabilitation in older adults. Clinical Cardiology 2020;43(2):118
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  49. 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  52. 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
    CrossRef
  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
    CrossRef
  54. 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
    CrossRef
  55. AVCI A, GÜN M. Web Tabanlı Eğitimin Kardiyovasküler Hastalıkların Yönetimine Etkisi. Adnan Menderes Üniversitesi Sağlık Bilimleri Fakültesi Dergisi 2021;5(2):389
    CrossRef
  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
    CrossRef
  57. 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
    CrossRef
  58. . A model of integrated remote monitoring and behaviour change for osteoarthritis. BMC Musculoskeletal Disorders 2021;22(1)
    CrossRef
  59. 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
    CrossRef
  60. 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
    CrossRef
  61. 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
    CrossRef
  62. Dwairej L, Ahmad M. Hypertension and mobile application for self-care, self-efficacy and related knowledge. Health Education Research 2022;37(3):199
    CrossRef
  63. 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
    CrossRef
  64. Østervang C, Lassen A, Schmidt T, Coyne E, Dieperink KB, Jensen CM. Development of a health information system to promote emergency care pathways: A participatory design study. DIGITAL HEALTH 2022;8:205520762211458
    CrossRef
  65. Kwan YH, Yoon S, Tan CS, Tai BC, Tan WB, Phang JK, Tan NC, Tan CYL, Quah YL, Koot D, Teo HH, Low LL. 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
    CrossRef
  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
    CrossRef
  67. Zakeri MA, 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
    CrossRef
  68. Paalimäki-Paakki K, Virtanen M, Henner A, Nieminen MT, 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
    CrossRef
  69. . Technology-based interventions to improve adherence to antihypertensive medications – An evidence-based review. DIGITAL HEALTH 2022;8:205520762210897
    CrossRef
  70. Zhou TT, Wang R, Gu SJ, Xie LL, Zhao QH, Xiao MZ, Chen YL. 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
    CrossRef
  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
    CrossRef
  72. Sakima A, Matayoshi T, Arima H. Strategies for improving the treatment and control of hypertension in Japan. Journal of Human Hypertension 2022;
    CrossRef
  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
    CrossRef
  74. Kario K, Harada N, Okura A. Digital Therapeutics in Hypertension: Evidence and Perspectives. Hypertension 2022;79(10):2148
    CrossRef
  75. Alam S, Zhang M, Harris K, Fletcher LM, Reneker JC. 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
    CrossRef
  76. Cavero-Redondo I, Saz-Lara A, Sequí-Dominguez I, Gómez-Guijarro MD, Ruiz-Grao MC, 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
    CrossRef
  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
    CrossRef
  78. Ma Y, Cheng HY, Sit JW, Chien WT. 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
    CrossRef
  79. Farias FAC, Falavigna VF, Viapiana MEL, Falavigna A. Remote patient monitoring in spine surgery. Journal of Musculoskeletal Surgery and Research 2022;6:160
    CrossRef
  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)
    CrossRef
  81. Marzban S, Najafi M, Agolli A, Ashrafi E. Impact of Patient Engagement on Healthcare Quality: A Scoping Review. Journal of Patient Experience 2022;9:237437352211254
    CrossRef
  82. Price JC, Santos HO, Bueno AA. The effectiveness of automated digital health solutions at successfully managing obesity and obesity-associated disorders: A PICO-structured investigation. DIGITAL HEALTH 2022;8:205520762210913
    CrossRef
  83. Trinquart L, Liu C, McManus DD, Nowak C, Lin H, Spartano NL, Borrelli B, Benjamin EJ, Murabito JM. Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e40784
    CrossRef
  84. Arshed M, Mahmud AB, Minhat HS, Ying LP, Umer MF. Effectiveness of mHealth Interventions in Medication Adherence among Patients with Cardiovascular Diseases: A Systematic Review. Diseases 2023;11(1):41
    CrossRef
  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
    CrossRef
  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
    CrossRef
  87. Einhorn J, Murphy AR, Rogal SS, Suffoletto B, Irizarry T, Rollman BL, Forman DE, Muldoon MF. Automated Messaging Program to Facilitate Systematic Home Blood Pressure Monitoring: Qualitative Analysis of Provider Interviews. JMIR Cardio 2023;7:e51316
    CrossRef
  88. Zimbudzi E, Lo C, Ranasinha S, Usherwood T, Polkinghorne KR, Fulcher G, Gallagher M, Jan S, Cass A, Walker R, Russell G, Johnson G, Kerr PG, 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
    CrossRef
  89. Bentlage E, Nyamadi JJ, 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
    CrossRef
  90. Yuan W, Zhang Y, MA L. Comparative Different Interventions to Improve Medication Adherence in Patients with Hypertension. Journal of Cardiovascular Nursing 2023;
    CrossRef
  91. Hezer B, Massey EK, Reinders ME, Tielen M, van de Wetering J, Hesselink DA, van den Hoogen MW. Telemedicine for Kidney Transplant Recipients: Current State, Advantages, and Barriers. Transplantation 2024;108(2):409
    CrossRef
  92. Park S, Woo HG, Kim S, Kim S, Lim H, Yon DK, Rhee SY. 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
    CrossRef
  93. Iqbal MP, Newman B, Ellis LA, 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
    CrossRef
  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
    CrossRef
  95. Stichler JF, Pelletier LR. Applying the Patient Empowerment, Engagement, and Activation Survey to Improve Patient Outcomes. JONA: The Journal of Nursing Administration 2023;53(12):668
    CrossRef
  96. Kengne AP, Brière J, Gudiña IA, Jiang X, Kodjamanova P, Bennetts L, Khan ZM. 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;:1
    CrossRef
  97. Salarvand S, Farzanpour F, Gharaei HA. 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)
    CrossRef
  98. Andersson U, Nilsson PM, 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;:1
    CrossRef
  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;
    CrossRef
  100. Collart C, Craighead C, Yao M, Rose S, Chien EK, Frankel RM, Coleridge M, Hu B, Edmonds BT, Ranzini AC, Farrell RM. 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;0
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  1. 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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  2. 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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