Published on in Vol 17, No 2 (2015): February

Impact of mHealth Chronic Disease Management on Treatment Adherence and Patient Outcomes: A Systematic Review

Impact of mHealth Chronic Disease Management on Treatment Adherence and Patient Outcomes: A Systematic Review

Impact of mHealth Chronic Disease Management on Treatment Adherence and Patient Outcomes: A Systematic Review

Journals

  1. Huang X, Weng X, Lin S, Liu Y, Luo S, Wang H, Ming W, Huang P. Half-dose fulvestrant plus anastrozole as a first-line treatment for hormone receptor-positive metastatic breast cancer: a cost-effectiveness analysis. BMJ Open 2020;10(8):e036107 View
  2. Zhang H, Jiang Y, Nguyen H, Poo D, Wang W. The effect of a smartphone-based coronary heart disease prevention (SBCHDP) programme on awareness and knowledge of CHD, stress, and cardiac-related lifestyle behaviours among the working population in Singapore: a pilot randomised controlled trial. Health and Quality of Life Outcomes 2017;15(1) View
  3. Kayser L, Nøhr C, Bertelsen P, Botin L, Villumsen S, Showell C, Turner P. Theory and Practice in Digital Behaviour Change: A Matrix Framework for the Co-Production of Digital Services That Engage, Empower and Emancipate Marginalised People Living with Complex and Chronic Conditions. Informatics 2018;5(4):41 View
  4. Giesbrecht E, Miller W. Effect of an mHealth Wheelchair Skills Training Program for Older Adults: A Feasibility Randomized Controlled Trial. Archives of Physical Medicine and Rehabilitation 2019;100(11):2159 View
  5. Liao J, Xiao H, Li X, Sun S, Liu S, Yang Y, Xu D. A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e14969 View
  6. Germack H. Using mHealth as a Lever to Promote Mental Health Care Quality Through Patient Engagement. Journal of the American Psychiatric Nurses Association 2016;22(4):320 View
  7. Cummings J, Gaydos L, Mensa-Kwao A, Song M, Blake S. Perspectives on Caregiver-Focused mHealth Technologies to Improve Mental Health Treatment for Low-Income Youth with ADHD. Journal of Technology in Behavioral Science 2019;4(1):6 View
  8. Fottrell E, Jennings H, Kuddus A, Ahmed N, Morrison J, Akter K, Shaha S, Nahar B, Nahar T, Haghparast-Bidgoli H, Khan A, Costello A, Azad K. The effect of community groups and mobile phone messages on the prevention and control of diabetes in rural Bangladesh: study protocol for a three-arm cluster randomised controlled trial. Trials 2016;17(1) View
  9. Bosworth H, Olsen M, McCant F, Stechuchak K, Danus S, Crowley M, Goldstein K, Zullig L, Oddone E. Telemedicine cardiovascular risk reduction in veterans: The CITIES trial. American Heart Journal 2018;199:122 View
  10. Haghparast-Bidgoli H, Shaha S, Kuddus A, Chowdhury M, Jennings H, Ahmed N, Morrison J, Akter K, Nahar B, Nahar T, King C, Skordis-Worrall J, Batura N, Khan J, Mansaray A, Hunter R, Khan A, Costello A, Azad K, Fottrell E. Protocol of economic evaluation and equity impact analysis of mHealth and community groups for prevention and control of diabetes in rural Bangladesh in a three-arm cluster randomised controlled trial. BMJ Open 2018;8(8):e022035 View
  11. Tuvesson H, Eriksén S, Fagerström C. mHealth and Engagement Concerning Persons With Chronic Somatic Health Conditions: Integrative Literature Review. JMIR mHealth and uHealth 2020;8(7):e14315 View
  12. Hanlon P, Daines L, Campbell C, McKinstry B, Weller D, Pinnock H. Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer. Journal of Medical Internet Research 2017;19(5):e172 View
  13. Parimbelli E, Bottalico B, Losiouk E, Tomasi M, Santosuosso A, Lanzola G, Quaglini S, Bellazzi R. Trusting telemedicine: A discussion on risks, safety, legal implications and liability of involved stakeholders. International Journal of Medical Informatics 2018;112:90 View
  14. Petersen C, Halter R, Kotz D, Loeb L, Cook S, Pidgeon D, Christensen B, Batsis J. Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study. JMIR mHealth and uHealth 2020;8(8):e16862 View
  15. Kebede M, Pischke C. Popular Diabetes Apps and the Impact of Diabetes App Use on Self-Care Behaviour: A Survey Among the Digital Community of Persons With Diabetes on Social Media. Frontiers in Endocrinology 2019;10 View
  16. Khowaja K, Al-Thani D. New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study. JMIR mHealth and uHealth 2020;8(10):e20353 View
  17. Leme Nagib A, Riccetto C, Martinho N, Camargos Pennisi P, Blumenberg C, Paranhos L, Botelho S. Use of mobile apps for controlling of the urinary incontinence: A systematic review. Neurourology and Urodynamics 2020;39(4):1036 View
  18. Opipari-Arrigan L, Dykes D, Saeed S, Thakkar S, Burns L, Chini B, McPhail G, Eslick I, Margolis P, Kaplan H. Technology-Enabled Health Care Collaboration in Pediatric Chronic Illness: Pre-Post Interventional Study for Feasibility, Acceptability, and Clinical Impact of an Electronic Health Record–Linked Platform for Patient-Clinician Partnership. JMIR mHealth and uHealth 2020;8(11):e11968 View
  19. O’Brien T, Russell C, Tan A, Washington M, Hathaway D. An Exploratory Correlational Study in the Use of Mobile Technology Among Adult Kidney Transplant Recipients. Progress in Transplantation 2018;28(4):368 View
  20. Bryant R. Heart Failure. The Nurse Practitioner 2017;42(8):1 View
  21. Holtz B, Mitchell K, Hershey D, Cotten S, Holmstrom A, Richman J, Dunneback J, Wood M. Using an mHealth App to Transition Care of Type 1 Diabetes from Parents to Teens: Protocol for a Pilot Study. JMIR Research Protocols 2018;7(10):e10803 View
  22. Rivera J, McPherson A, Hamilton J, Birken C, Coons M, Peters M, Iyer S, George T, Nguyen C, Stinson J. User-Centered Design of a Mobile App for Weight and Health Management in Adolescents With Complex Health Needs: Qualitative Study. JMIR Formative Research 2018;2(1):e7 View
  23. Firth J, Torous J. Smartphone Apps for Schizophrenia: A Systematic Review. JMIR mHealth and uHealth 2015;3(4):e102 View
  24. Siddiqui M, Islam M, Mufti B, Khan N, Farooq M, Muhammad M, Osama M, Kherani D, Kazi A, Kazi A. Assessing acceptability of hypertensive/diabetic patients towards mobile health based behavioral interventions in Pakistan: A pilot study. International Journal of Medical Informatics 2015;84(11):950 View
  25. Gong E, Gu W, Sun C, Turner E, Zhou Y, Li Z, Bettger J, Oldenburg B, Amaya-Burns A, Wang Y, Xu L, Yao J, Dong D, Xu Z, Li C, Hou M, Yan L. System-integrated technology-enabled model of care to improve the health of stroke patients in rural China: protocol for SINEMA—a cluster-randomized controlled trial. American Heart Journal 2019;207:27 View
  26. Basit S, Mathews N, Kunik M. Telemedicine interventions for medication adherence in mental illness: A systematic review. General Hospital Psychiatry 2020;62:28 View
  27. Chun S, Kim W, Park E. Disparities in avoidable hospitalization by income in South Korea: data from the National Health Insurance cohort. European Journal of Public Health 2019;29(2):225 View
  28. Cho H, Porras T, Flynn G, Schnall R. Usability of a Consumer Health Informatics Tool Following Completion of a Clinical Trial: Focus Group Study. Journal of Medical Internet Research 2020;22(6):e17708 View
  29. Muse E. Improving medical adherence in cardiovascular disease management with mHealth technologies. European Heart Journal - Quality of Care and Clinical Outcomes 2016;2(4):231 View
  30. Ellis T, Cavanaugh J, DeAngelis T, Hendron K, Thomas C, Saint-Hilaire M, Pencina K, Latham N. Comparative Effectiveness of mHealth-Supported Exercise Compared With Exercise Alone for People With Parkinson Disease: Randomized Controlled Pilot Study. Physical Therapy 2019;99(2):203 View
  31. Greenwood D, Gee P, Fatkin K, Peeples M. A Systematic Review of Reviews Evaluating Technology-Enabled Diabetes Self-Management Education and Support. Journal of Diabetes Science and Technology 2017;11(5):1015 View
  32. Dugas M, Crowley K, Gao G, Xu T, Agarwal R, Kruglanski A, Steinle N, Barengo N. Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans. PLOS ONE 2018;13(3):e0192807 View
  33. Khonsari S, Chandler C, Parker R, Holloway A. Increasing cardiovascular medication adherence: A medical research council complex mhealth intervention mixed‐methods feasibility study to inform global practice. Journal of Advanced Nursing 2020;76(10):2670 View
  34. Wulfovich S, Fiordelli M, Rivas H, Concepcion W, Wac K. “I Must Try Harder”: Design Implications for Mobile Apps and Wearables Contributing to Self-Efficacy of Patients With Chronic Conditions. Frontiers in Psychology 2019;10 View
  35. Yassaie O, McLaughlin B, Perera M, Manning T, Lawrentschuk N, Malcolm A. Primary care follow-up of radical prostatectomy patients: A regional New Zealand experience. Prostate International 2016;4(4):136 View
  36. Drake J, Yan Z. Targeting healthspan to optimally combat non-communicable disease in an aging world. Sports Medicine and Health Science 2019;1(1):59 View
  37. Roberts D, Rylands J, Sinclair D. Interventions using mobile devices (phones, smart phones, or tablets) to improve adherence to treatment for HIV or tuberculosis. Cochrane Database of Systematic Reviews 2016 View
  38. Hoermann S, McCabe K, Milne D, Calvo R. Application of Synchronous Text-Based Dialogue Systems in Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2017;19(8):e267 View
  39. Li J, Huang W, Gao J, Li D, Xu L, Huang J. Impact of Mobile-Based Health Education on the Awareness and Knowledge of Glaucoma in Chinese Patients. Telemedicine and e-Health 2019;25(6):455 View
  40. Klimis H, Khan M, Kok C, Chow C. The Role of Text Messaging in Cardiovascular Risk Factor Optimization. Current Cardiology Reports 2017;19(1) View
  41. Gorini A, Mazzocco K, Triberti S, Sebri V, Savioni L, Pravettoni G. A P5 Approach to m-Health: Design Suggestions for Advanced Mobile Health Technology. Frontiers in Psychology 2018;9 View
  42. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health. Journal of Medical Internet Research 2016;18(6):e135 View
  43. Välimäki M, Kannisto K, Vahlberg T, Hätönen H, Adams C. Short Text Messages to Encourage Adherence to Medication and Follow-up for People With Psychosis (Mobile.Net): Randomized Controlled Trial in Finland. Journal of Medical Internet Research 2017;19(7):e245 View
  44. Öberg U, Orre C, Hörnsten Å, Jutterström L, Isaksson U. Using the Self-Management Assessment Scale for Screening Support Needs in Type 2 Diabetes: Qualitative Study. JMIR Nursing 2020;3(1):e16318 View
  45. Sjöström M, Lindholm L, Samuelsson E. Mobile App for Treatment of Stress Urinary Incontinence: A Cost-Effectiveness Analysis. Journal of Medical Internet Research 2017;19(5):e154 View
  46. Juarascio A, Parker M, Lagacey M, Godfrey K. Just‐in‐time adaptive interventions: A novel approach for enhancing skill utilization and acquisition in cognitive behavioral therapy for eating disorders. International Journal of Eating Disorders 2018;51(8):826 View
  47. Fan X, She R, Liu C, Zhong H, Lau J, Hao C, Li J, Hao Y, Li L, Gu J. Evaluation of smartphone APP-based case-management services among antiretroviral treatment-naïve HIV-positive men who have sex with men: a randomized controlled trial protocol. BMC Public Health 2020;20(1) View
  48. Silva E, Rijo R, Martinho R, Assunção P, Seco A, Fonseca-Pinto R. A Cardiac Rehabilitation Program Supported by mHealth Technology: The MOVIDA.eros Platform. Procedia Computer Science 2018;138:119 View
  49. Jankowski J, Saganowski S, Bródka P. Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials. Mobile Information Systems 2016;2016:1 View
  50. Lee J, Evangelista L, Moore A, Juth V, Guo Y, Gago-Masague S, Lem C, Nguyen M, Khatibi P, Baje M, Amin A. Feasibility Study of a Mobile Health Intervention for Older Adults on Oral Anticoagulation Therapy. Gerontology and Geriatric Medicine 2016;2 View
  51. Viaris de Lesegno B, Benachi A. Médecine 2.0. Journal de Gynécologie Obstétrique et Biologie de la Reproduction 2016;45(7):659 View
  52. Stein N, Brooks K. A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults. JMIR Diabetes 2017;2(2):e28 View
  53. Rocha N, Rodrigues dos Santos M, Cerqueira M, Queirós A. Mobile Health to Support Ageing in Place. International Journal of E-Health and Medical Communications 2019;10(3):1 View
  54. Beauchemin M, Gradilla M, Baik D, Cho H, Schnall R. A Multi-step Usability Evaluation of a Self-Management App to Support Medication Adherence in Persons Living with HIV. International Journal of Medical Informatics 2019;122:37 View
  55. Abaza H, Marschollek M. mHealth Application Areas and Technology Combinations. Methods of Information in Medicine 2017;56(S 01):e105 View
  56. Alvarado M, Kum H, Gonzalez Coronado K, Foster M, Ortega P, Lawley M. Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme. Journal of Medical Internet Research 2017;19(2):e28 View
  57. Hans P, Gray C, Gill A, Tiessen J. The provider perspective: investigating the effect of the Electronic Patient-Reported Outcome (ePRO) mobile application and portal on primary care provider workflow. Primary Health Care Research & Development 2018;19(02):151 View
  58. Canan C, Waselewski M, Waldman A, Reynolds G, Flickinger T, Cohn W, Ingersoll K, Dillingham R, Maulsby C. Long term impact of PositiveLinks: Clinic-deployed mobile technology to improve engagement with HIV care. PLOS ONE 2020;15(1):e0226870 View
  59. Cho H, Flynn G, Saylor M, Gradilla M, Schnall R. Use of the FITT framework to understand patients’ experiences using a real-time medication monitoring pill bottle linked to a mobile-based HIV self-management app: A qualitative study. International Journal of Medical Informatics 2019;131:103949 View
  60. O'Malley D, Davis S, Devine K, Sullivan B, Bator A, Clemow L, Ferrante J, Findley P, Miller S, Hudson S. Development and usability testing of the e‐EXCELS tool to guide cancer survivorship follow‐up care. Psycho-Oncology 2020;29(1):123 View
  61. Badawy S, Kuhns L. Economic Evaluation of Text-Messaging and Smartphone-Based Interventions to Improve Medication Adherence in Adolescents with Chronic Health Conditions: A Systematic Review. JMIR mHealth and uHealth 2016;4(4):e121 View
  62. Latif S, Rana R, Qadir J, Ali A, Imran M, Younis M. Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study. IEEE Access 2017;5:11540 View
  63. Daneault J. Could Wearable and Mobile Technology Improve the Management of Essential Tremor?. Frontiers in Neurology 2018;9 View
  64. Belkin G, McCray C. ThriveNYC: Delivering on Mental Health. American Journal of Public Health 2019;109(S3):S156 View
  65. van Olmen J, Erwin E, García-Ulloa A, Meessen B, Miranda J, Bobrow K, Iwelunmore J, Nwaozuru U, Obiezu Umeh C, Smith C, Harding C, Kumar P, Gonzales C, Hernández-Jiménez S, Yeates K. Implementation barriers for mHealth for non-communicable diseases prevention and management in low and middle income countries: a scoping review and field-based views from implementers. Wellcome Open Research 2020;5:7 View
  66. Kannisto K, Korhonen J, Adams C, Koivunen M, Vahlberg T, Välimäki M. Factors Associated With Dropout During Recruitment and Follow-Up Periods of a mHealth-Based Randomized Controlled Trial for Mobile.Net to Encourage Treatment Adherence for People With Serious Mental Health Problems. Journal of Medical Internet Research 2017;19(2):e46 View
  67. Nicholas J, Huckvale K, Larsen M, Basu A, Batterham P, Shaw F, Sendi S. Issues for eHealth in Psychiatry: Results of an Expert Survey. Journal of Medical Internet Research 2017;19(2):e55 View
  68. Laurence C, Wispelwey E, Flickinger T, Grabowski M, Waldman A, Plews-Ogan E, Debolt C, Reynolds G, Cohn W, Ingersoll K, Dillingham R. Development of PositiveLinks: A Mobile Phone App to Promote Linkage and Retention in Care for People With HIV. JMIR Formative Research 2019;3(1):e11578 View
  69. Desteghe L, Kluts K, Vijgen J, Koopman P, Dilling-Boer D, Schurmans J, Dendale P, Heidbuchel H. The Health Buddies App as a Novel Tool to Improve Adherence and Knowledge in Atrial Fibrillation Patients: A Pilot Study. JMIR mHealth and uHealth 2017;5(7):e98 View
  70. Krack G. How to make value-based health insurance designs more effective? A systematic review and meta-analysis. The European Journal of Health Economics 2019;20(6):841 View
  71. Abt G, Bray J, Benson A. Measuring Moderate-Intensity Exercise with the Apple Watch: Validation Study. JMIR Cardio 2018;2(1):e6 View
  72. Abraham O, Wytiaz R, Feathers A. Paediatric use of medications and adherence apps: a qualitative analysis of the perspectives of children and parents. Journal of Pharmacy Practice and Research 2019;49(2):123 View
  73. Walsh J, Groarke J. Integrating Behavioral Science With Mobile (mHealth) Technology to Optimize Health Behavior Change Interventions. European Psychologist 2019;24(1):38 View
  74. Siqueira do Prado L, Carpentier C, Preau M, Schott A, Dima A. Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation. JMIR mHealth and uHealth 2019;7(8):e13494 View
  75. Punnoose V, Sarkar S. Advances in IT and social psychiatry. Indian Journal of Social Psychiatry 2016;32(3):267 View
  76. Birnie K, Campbell F, Nguyen C, Lalloo C, Tsimicalis A, Matava C, Cafazzo J, Stinson J. iCanCope PostOp: User-Centered Design of a Smartphone-Based App for Self-Management of Postoperative Pain in Children and Adolescents. JMIR Formative Research 2019;3(2):e12028 View
  77. Jeddi F, Nabovati E, Amirazodi S. Features and Effects of Information Technology-Based Interventions to Improve Self-Management in Chronic Kidney Disease Patients: a Systematic Review of the Literature. Journal of Medical Systems 2017;41(11) View
  78. Thiruvengadam S, Ashvetiya T, Stone N, Blumenthal R, Martin S. Shared Decision-Making and Patient Empowerment in Preventive Cardiology. Current Cardiology Reports 2016;18(5) View
  79. Holtz B, Murray K, Hershey D, Dunneback J, Cotten S, Holmstrom A, Vyas A, Kaiser M, Wood M. Developing a Patient-Centered mHealth App: A Tool for Adolescents With Type 1 Diabetes and Their Parents. JMIR mHealth and uHealth 2017;5(4):e53 View
  80. Schoenthaler A, Leon M, Butler M, Steinhaeuser K, Wardzinski W. Development and Evaluation of a Tailored Mobile Health Intervention to Improve Medication Adherence in Black Patients With Uncontrolled Hypertension and Type 2 Diabetes: Pilot Randomized Feasibility Trial. JMIR mHealth and uHealth 2020;8(9):e17135 View
  81. Unni E, Gabriel S, Ariely R. A review of the use and effectiveness of digital health technologies in patients with asthma. Annals of Allergy, Asthma & Immunology 2018;121(6):680 View
  82. Scott C, Dennis M, Johnson K, Grella C. A randomized clinical trial of smartphone self-managed recovery support services. Journal of Substance Abuse Treatment 2020;117:108089 View
  83. Cho H, Porras T, Baik D, Beauchemin M, Schnall R. Understanding the predisposing, enabling, and reinforcing factors influencing the use of a mobile-based HIV management app: A real-world usability evaluation. International Journal of Medical Informatics 2018;117:88 View
  84. Chen S, Shen Y, Gao F, Bao Y, Zhou J, Jia W. Self-management of type 2 diabetes mellitus utilizing technology based mobile medical assisted blood glucose management: Study protocol for a prospective, multi-center, observational study. Obesity Medicine 2020;17:100194 View
  85. Lee H, Kim J, Na K, Park H, Han J, Pak Y, Nam B, Pae C, Lee J, Lim T, Lee D. The role of telehealth counselling with mobile self-monitoring on blood pressure reduction among overseas Koreans with high blood pressure in Vietnam. Journal of Telemedicine and Telecare 2019;25(4):241 View
  86. Wu C, Ramis M, Skerman H. Integrated approaches for comorbidity. Nursing & Health Sciences 2019;21(4):413 View
  87. Cuadrado J, Vilaplana J, Mateo J, Solsona F, Solsona S, Rius J, Alves R, Camafort M. HBPF: a Home Blood Pressure Framework with SLA guarantees to follow up hypertensive patients. PeerJ Computer Science 2016;2:e69 View
  88. Beck J, Greenwood D, Blanton L, Bollinger S, Butcher M, Condon J, Cypress M, Faulkner P, Fischl A, Francis T, Kolb L, Lavin-Tompkins J, MacLeod J, Maryniuk M, Mensing C, Orzeck E, Pope D, Pulizzi J, Reed A, Rhinehart A, Siminerio L, Wang J. 2017 National Standards for Diabetes Self-Management Education and Support. The Diabetes Educator 2018;44(1):35 View
  89. Scott A, Alore E, Naik A, Berger D, Suliburk J. Mixed-Methods Analysis of Factors Impacting Use of a Postoperative mHealth App. JMIR mHealth and uHealth 2017;5(2):e11 View
  90. Dobson R, Whittaker R, Jiang Y, McNamara C, Shepherd M, Maddison R, Cutfield R, Khanolkar M, Murphy R. Long‐term follow‐up of a randomized controlled trial of a text‐message diabetes self‐management support programme, SMS4BG. Diabetic Medicine 2020;37(2):311 View
  91. Hoffman V, Söderström L, Samuelsson E. Self‐management of stress urinary incontinence via a mobile app: two‐year follow‐up of a randomized controlled trial. Acta Obstetricia et Gynecologica Scandinavica 2017;96(10):1180 View
  92. Miyamoto S, Henderson S, Fazio S, Saconi B, Thiede E, Greenwood D, Young H. Empowering Diabetes Self-Management Through Technology and Nurse Health Coaching. The Diabetes Educator 2019;45(6):586 View
  93. Lee J, Choi M, Lee S, Jiang N. Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review. BMC Medical Informatics and Decision Making 2018;18(1) View
  94. McInnes D, Shimada S, Midboe A, Nazi K, Zhao S, Wu J, Garvey C, Houston T. Patient Use of Electronic Prescription Refill and Secure Messaging and Its Association With Undetectable HIV Viral Load: A Retrospective Cohort Study. Journal of Medical Internet Research 2017;19(2):e34 View
  95. Hernández-Pinzón C, Flórez-Flórez M. Adherencia al tratamiento en la insuficiencia cardiaca y las tecnologías de la información y la comunicación. Revista Colombiana de Cardiología 2017;24(2):96 View
  96. Bradway M, Carrion C, Vallespin B, Saadatfard O, Puigdomènech E, Espallargues M, Kotzeva A. mHealth Assessment: Conceptualization of a Global Framework. JMIR mHealth and uHealth 2017;5(5):e60 View
  97. de Jong J, Ogink P, van Bunningen C, Driessen R, Engelen L, Heeren B, Bredie S, van de Belt T. A Cloud-Based Virtual Outpatient Clinic for Patient-Centered Care: Proof-of-Concept Study. Journal of Medical Internet Research 2018;20(9):e10135 View
  98. Sheon A, Bolen S, Callahan B, Shick S, Perzynski A. Addressing Disparities in Diabetes Management Through Novel Approaches to Encourage Technology Adoption and Use. JMIR Diabetes 2017;2(2):e16 View
  99. Rodríguez I, Cajamarca G, Herskovic V, Fuentes C, Campos M. Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces. Mobile Information Systems 2017;2017:1 View
  100. Faddoul G, Chatterjee S. A Quantitative Measurement Model for Persuasive Technologies Using Storytelling via a Virtual Narrator. International Journal of Human–Computer Interaction 2020;36(17):1585 View
  101. Erickson L, Emerson A, Russell C. Parental mobile health adherence to symptom home monitoring for infants with congenital heart disease during the single ventricle interstage period: A concept analysis. Journal for Specialists in Pediatric Nursing 2020;25(4) View
  102. Medina J, Espinilla M, García-Fernández Á, Martínez L. Intelligent multi-dose medication controller for fever: From wearable devices to remote dispensers. Computers & Electrical Engineering 2018;65:400 View
  103. Miller S, Ainsworth B, Yardley L, Milton A, Weal M, Smith P, Morrison L. A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint. Journal of Medical Internet Research 2019;21(2):e10966 View
  104. Fischer K, De Faoite D, Rose M. Patient-reported outcomes feedback report for knee arthroplasty patients should present selective information in a simple design - findings of a qualitative study. Journal of Patient-Reported Outcomes 2020;4(1) View
  105. Peters R, Shivakumar N, Xu R, Javaherian K, Sink E, Patel K, Brown A, Huynh J, Blanchard M, Ross W, Byrd J. Assessing the Utility of a Novel SMS- and Phone-Based System for Blood Pressure Control in Hypertensive Patients: Feasibility Study. JMIR Cardio 2017;1(2):e2 View
  106. O’ Connor Y, O’ Reilly P. Examining the infusion of mobile technology by healthcare practitioners in a hospital setting. Information Systems Frontiers 2018;20(6):1297 View
  107. Lee K, Kwon H, Lee B, Lee G, Lee J, Park Y, Shin S, Serrano K. Effect of self-monitoring on long-term patient engagement with mobile health applications. PLOS ONE 2018;13(7):e0201166 View
  108. Silva S, Felgueiras R, Oliveira I. Geriatric Helper: An mHealth Application to Support Comprehensive Geriatric Assessment. Sensors 2018;18(4):1285 View
  109. Lang M, Knoppers B, Zawati M. International mHealth Research: Old Tools and New Challenges. Journal of Law, Medicine & Ethics 2020;48(S1):178 View
  110. Lunde P, Nilsson B, Bergland A, Bye A. Feasibility of a Mobile Phone App to Promote Adherence to a Heart-Healthy Lifestyle: Single-Arm Study. JMIR Formative Research 2019;3(2):e12679 View
  111. Stevenson J, Campbell Z, Webster A, Chow C, Tong A, Craig J, Campbell K, Lee V. eHealth interventions for people with chronic kidney disease. Cochrane Database of Systematic Reviews 2019;2019(8) View
  112. Petersen C, Weeks W, Norin O, Weinstein J. Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study. JMIR mHealth and uHealth 2019;7(3):e11082 View
  113. Henry B, Moore D. Preliminary Findings Describing Participant Experience With iSTEP, an mHealth Intervention to Increase Physical Activity and Improve Neurocognitive Function in People Living With HIV. Journal of the Association of Nurses in AIDS Care 2016;27(4):495 View
  114. Hoque R, Sorwar G. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics 2017;101:75 View
  115. Yu K, Wu S, Lee P, Wu D, Hsiao H, Tseng Y, Wang Y, Cheng C, Wang Y, Lee S, Chi I. Longitudinal Effects of an Intergenerational mHealth Program for Older Type 2 Diabetes Patients in Rural Taiwan. The Diabetes Educator 2020;46(2):206 View
  116. Stevenson J, Campbell Z, Webster A, Chow C, Campbell K, Lee V. eHealth interventions for people with chronic kidney disease. Cochrane Database of Systematic Reviews 2016 View
  117. Loohuis A, Wessels N, Jellema P, Vermeulen K, Slieker‐ten Hove M, van Gemert‐Pijnen J, Berger M, Dekker J, Blanker M. The impact of a mobile application‐based treatment for urinary incontinence in adult women: Design of a mixed‐methods randomized controlled trial in a primary care setting. Neurourology and Urodynamics 2018;37(7):2167 View
  118. Minutolo A, Esposito M, De Pietro G. Optimization of rule-based systems in mHealth applications. Engineering Applications of Artificial Intelligence 2017;59:103 View
  119. Aria R, Archer N. An online mobile/desktop application for supporting sustainable chronic disease self-management and lifestyle change. Health Informatics Journal 2020;26(4):2860 View
  120. Singh K, Ranjani H, Rhodes E, Weber M. International Models of Care that Address the Growing Diabetes Prevalence in Developing Countries. Current Diabetes Reports 2016;16(8) View
  121. Ali S, Powers R, Beorse J, Noor A, Naureen F, Anjum N, Ishaq M, Aamir J, Anderson R. ODK Scan: Digitizing Data Collection and Impacting Data Management Processes in Pakistan’s Tuberculosis Control Program. Future Internet 2016;8(4):51 View
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  577. Thom S, Sivakumar B, Ayodele T, Tan M, Brown J, Arcand J. Impact of mHealth Interventions on Supporting Dietary Adherence in Cardiovascular Disease: A Systematic Review. Journal of Nutrition Education and Behavior 2023;55(6):419 View
  578. Portz J, Schmid A, Fruhauf C, Fox A, Van Puymbroeck M, Sharp J, Leach H. Acceptability of Online Yoga Among Individuals With Chronic Conditions and Their Caregivers: Qualitative Study. JMIR Formative Research 2023;7:e39158 View
  579. Guo X, Li Y. Intelligent health in the IS area: A literature review and research agenda. Fundamental Research 2024;4(4):961 View
  580. Suero-Pineda A, Oliva-Pascual-Vaca Á, Durán M, Sánchez-Laulhé P, García-Frasquet M, Blanquero J. Effectiveness of a telerehabilitation tablet app in combination with face-to-face physiotherapy for people with wrist, hand or finger injuries: A pragmatic multicentre clinical trial. Journal of Telemedicine and Telecare 2023 View
  581. Lortz J, Rassaf T, Jansen C, Knuschke R, Schweda A, Schnaubert L, Rammos C, Köberlein-Neu J, Skoda E, Teufel M, Bäuerle A. A mHealth intervention to reduce perceived stress in patients with ischemic heart disease: study protocol of the randomized, controlled confirmatory intervention “mStress-IHD” trial. Trials 2023;24(1) View
  582. Johansen S, Kanstrup A, Thomsen J, Christensen M, Rathleff M. Exploring the barriers and facilitators for supporting adolescents with knee pains adherence to mobile health apps: A think-aloud study. DIGITAL HEALTH 2023;9 View
  583. Joshi V, Joshi N, Bhardwaj P, Singh K, Ojha D, Jain Y. The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis. Online Journal of Public Health Informatics 2023;15:e50927 View
  584. Liu C, Wang W, Gao G, Agarwal R. The Value of Virtual Engagement: Evidence from a Running Platform. Management Science 2023 View
  585. Choi J, Lee M. Household type, gender, and digital literacy among older adults in South Korea. Universal Access in the Information Society 2023 View
  586. Chen L, Zhang D, Li T, Liu S, Hua J, Cai W. Effect of a Mobile App–Based Urinary Incontinence Self-Management Intervention Among Pregnant Women in China: Pragmatic Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e43528 View
  587. Quach S, Michaelchuk W, Benoit A, Oliveira A, Packham T, Goldstein R, Brooks D. Mobile health applications for self-management in chronic lung disease: a systematic review. Network Modeling Analysis in Health Informatics and Bioinformatics 2023;12(1) View
  588. Sangrawee Maneesri , Khemaradee Masingboon , Nujjaree Chaimongkol . Effectiveness of Individual and Family Self-Management Combined mHealth Program for People with Stage 3 Chronic Kidney Disease: A Randomized Controlled Trial. Pacific Rim International Journal of Nursing Research 2022;27(1):169 View
  589. Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. International Journal of Medical Informatics 2023;180:105273 View
  590. Allan D. A mobile messaging-based conversational agent-led stress mindset intervention for New Zealand small-to-medium-sized enterprise owner-managers: effectiveness and acceptability study. Behaviour & Information Technology 2024;43(12):2785 View
  591. Li P, Zhang C, Gao S, Zhang Y, Liang X, Wang C, Zhu T, Li W. Association Between Daily Internet Use and Incidence of Chronic Diseases Among Older Adults: Prospective Cohort Study. Journal of Medical Internet Research 2023;25:e46298 View
  592. Goodman A, Mahoney R, Spurling G, Lawler S. Influencing Factors to mHealth Uptake With Indigenous Populations: Qualitative Systematic Review. JMIR mHealth and uHealth 2023;11:e45162 View
  593. Shao Y, Hu H, Liang Y, Hong Y, Yu Y, Liu C, Xu Y. Health literacy interventions among patients with chronic diseases: A meta-analysis of randomized controlled trials. Patient Education and Counseling 2023;114:107829 View
  594. Lunde P, Skoglund G, Olsen C, Hilde G, Bong W, Nilsson B. Think Aloud Testing of a Smartphone App for Lifestyle Change Among Persons at Risk of Type 2 Diabetes: Usability Study. JMIR Human Factors 2023;10:e48950 View
  595. Sze W, Waki K, Enomoto S, Nagata Y, Nangaku M, Yamauchi T, Ohe K. StepAdd: A personalized mHealth intervention based on social cognitive theory to increase physical activity among type 2 diabetes patients. Journal of Biomedical Informatics 2023;145:104481 View
  596. Aboye G, Vande Walle M, Simegn G, Aerts J. Current evidence on the use of mHealth approaches in Sub-Saharan Africa: A scoping review. Health Policy and Technology 2023;12(4):100806 View
  597. AD G, DC G, NJ J, SE W, TR B, Slusser W, PJ C. A Hybrid Mobile Phone Feasibility Study Focusing on Latino Mothers, Fathers, and Grandmothers to Prevent Obesity in Preschoolers. Maternal and Child Health Journal 2023;27(9):1621 View
  598. Barbara A, Villani L, Lombardo P, Parente P, Gemma A, Angeletti D, Chiriaco T, Mastromattei A, Akselrod S, Goletti M, Rosa E, De Vito C. The “Lazio ADVICE” telemedicine platform: First results of general practitioners’ usage, facilitators and barriers in the Local Health Authority Roma 1. DIGITAL HEALTH 2023;9 View
  599. Zhang Q, Li J, Yao Y, Hu J, Lin Y, Meng X, Zhao Y, Wang Y. The development of a clinical nomogram to predict medication nonadherence in patients with knee osteoarthritis. Medicine 2023;102(31):e34481 View
  600. Lewis K, Zettler-Greeley C, Blake K, Milkes A. A digital health application for managing pediatric asthma: Use and benefits. Informatics for Health and Social Care 2023;48(4):370 View
  601. Leenen J, Scherrenberg M, Bruins W, Boyne J, Vranken J, Brunner la Rocca H, Dendale P, van der Velde A. Usability of a digital health platform to support home hospitalization in heart failure patients: a multicentre feasibility study among healthcare professionals. European Journal of Cardiovascular Nursing 2024;23(2):188 View
  602. Addison C, Grandner M, Baron K. Sleep medicine provider perceptions and attitudes regarding consumer sleep technology. Journal of Clinical Sleep Medicine 2023;19(8):1457 View
  603. Mangale D, Onyango A, Mugo C, Mburu C, Chhun N, Wamalwa D, Njuguna I, Means A, John-Stewart G, Weiner B, Beima-Sofie K. Characterizing provider-led adaptations to mobile phone delivery of the Adolescent Transition Package (ATP) in Kenya using the Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS): a mixed methods approach. Implementation Science Communications 2023;4(1) View
  604. Cheng C, Donovan G, Al-Jawad N, Jalal Z. The use of technology to improve medication adherence in heart failure patients: a systematic review of randomised controlled trials. Journal of Pharmaceutical Policy and Practice 2023;16(1) View
  605. Smits M, Back N, Ebbers W. Responsible design and implementation of technologies for the prevention of infectious diseases: towards a values-based assessment framework for the Dutch government. Public Health 2023;222:29 View
  606. Aovare P, Abdulai K, Laar A, van der Linden E, Moens N, Richard E, Moll van Charante E, Agyemang C. Assessing the Effectiveness of mHealth Interventions for Diabetes and Hypertension Management in Africa: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2023;11:e43742 View
  607. Mohamed-Ahmed R, Taithongchai A, da Silva A, Robinson D, Cardozo L. Treating and Managing Urinary Incontinence: Evolving and Potential Multicomponent Medical and Lifestyle Interventions. Research and Reports in Urology 2023;Volume 15:193 View
  608. Chau R, Thu K, Chaurasia A, Hsung R, Lam W. A Systematic Review of the Use of mHealth in Oral Health Education among Older Adults. Dentistry Journal 2023;11(8):189 View
  609. Bakhshi S, Heidari S, Zanjirani S, Zakeri M. The Effect of Health Belief Model-based Education on Empowering Cardiovascular Patients for Medication Adherence. Journal of Nursing and Midwifery Sciences 2023;10(1) View
  610. Paolino M, Sánchez Antelo V, Kohler R, Viswanath K, Arrossi S. Implementation of an mHealth intervention to increase adherence to triage among HPV positive women with HPV—self-collection (ATICA study): post-implementation evaluation from the women's perspective. BMC Women's Health 2023;23(1) View
  611. Tandon U, Ertz M, Shashi . Continued Intention of mHealth Care Applications among the Elderly: An Enabler and Inhibitor Perspective. International Journal of Human–Computer Interaction 2024;40(18):5026 View
  612. Cheng C, Lin W, Liu H, Chen Y, Chiang C, Hung K. Implementation of artificial intelligence Chatbot in peritoneal dialysis nursing care: Experience from a Taiwan medical center. Nephrology 2023;28(12):655 View
  613. Gu Y, Guan Y, Meng Z. Health Providers’ Perceptions and Experiences of Using mHealth for Chronic Noncommunicable Diseases: Qualitative Systematic Review and Meta-Synthesis. Journal of Medical Internet Research 2023;25:e45437 View
  614. Verweel L, Newman A, Michaelchuk W, Packham T, Goldstein R, Brooks D. The effect of digital interventions on related health literacy and skills for individuals living with chronic diseases: A systematic review and meta-analysis. International Journal of Medical Informatics 2023;177:105114 View
  615. Aksenov L, Streeper N, Scales C. Leveraging behavioral modification technology for the prevention of kidney stones. Current Opinion in Urology 2024;34(1):14 View
  616. Schroeder T, Seaman K, Nguyen A, Gewald H, Georgiou A. Enablers and inhibitors to the adoption of mHealth apps by patients – A qualitative analysis of German doctors’ perspectives. Patient Education and Counseling 2023;114:107865 View
  617. Galavi Z, Khajouei R. Proposing an initial model for the heuristic evaluation of mHealth applications. Informatics in Medicine Unlocked 2023;41:101322 View
  618. Mun M, Park Y, Hwang J, Woo K. Types and Effects of Telenursing in Home Health Care: A Systematic Review and Meta-Analysis. Telemedicine and e-Health 2024;30(9):2431 View
  619. Asgary R, Bauder L, Naderi R, Ogedegbe G. SMS text intervention for uncontrolled hypertension among hypertensive homeless adults in shelter clinics of New York City: protocol for a pragmatic randomised trial study. BMJ Open 2023;13(10):e073041 View
  620. 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
  621. Xiao J, Kopycka-Kedzierawski D, Ragusa P, Mendez Chagoya L, Funkhouser K, Lischka T, Wu T, Fiscella K, Kar K, Al Jallad N, Rashwan N, Ren J, Meyerowitz C. Acceptance and Usability of an Innovative mDentistry eHygiene Model Amid the COVID-19 Pandemic Within the US National Dental Practice-Based Research Network: Mixed Methods Study. JMIR Human Factors 2023;10:e45418 View
  622. Wang Q, Zhu R, Cao Y, Ning Y, Feng Y, Feng Y, Han S. Sublingual immunotherapy adherence in patients with allergic rhinitis: Effects of an intervention based on the information-motivation-behavioral skills model. Heliyon 2023;9(12):e22929 View
  623. Mousavi S, Bagheri S, Jalali Heris N, Matbouraftar P, Azarian M, Kordbagheri M. RETRACTED: Structural equation modeling to estimate treatment adherence based on the light triad of personality and sense of coherence in patients with type-2 diabetes: examining the mediating role of psychological well-being. Frontiers in Psychology 2023;14 View
  624. Heydari M, Mehraeen E, Javaherikiyan E, Mehrabi N, Langarizadeh M, Aghamohammadi V, Moghaddam H, Nasiri K. Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran. BMC Medical Informatics and Decision Making 2023;23(1) View
  625. Cheng Q, Dang T, Nguyen T, Velen K, Nguyen V, Nguyen B, Vu D, Long C, Do T, Vu T, Marks G, Yapa M, Fox G, Wiseman V. mHealth application for improving treatment outcomes for patients with multidrug-resistant tuberculosis in Vietnam: an economic evaluation protocol for the V-SMART trial. BMJ Open 2023;13(12):e076778 View
  626. Nguyen A, Uppal S, Pereira M, Pluti A, Gualtieri L. MedHerent: Improving Medication Adherence in Older Adults With Contextually Sensitive Alerts Through an Application That Adheres to You. Mayo Clinic Proceedings: Digital Health 2024;2(1):1 View
  627. Wang W, Khalajzadeh H, Grundy J, Madugalla A, McIntosh J, Obie H. Adaptive user interfaces in systems targeting chronic disease: a systematic literature review. User Modeling and User-Adapted Interaction 2024;34(3):853 View
  628. Kooij L, van Harten W. Strengthening the evidence base for mHealth in clinical practice: Conducting research with standalone or interoperable systems – a viewpoint. DIGITAL HEALTH 2023;9 View
  629. Gadenz S, Harzheim E, Rados D, Castro S, Drehmer M. Mobile Application Increased Nutrition Knowledge Among Brazilian Physicians. Journal of Nutrition Education and Behavior 2023 View
  630. Murala D, Panda S, Dash S. MedMetaverse: Medical Care of Chronic Disease Patients and Managing Data Using Artificial Intelligence, Blockchain, and Wearable Devices State-of-the-Art Methodology. IEEE Access 2023;11:138954 View
  631. Holl F, Schobel J, Swoboda W. Mobile Apps for COVID-19: A Systematic Review of Reviews. Healthcare 2024;12(2):139 View
  632. Del Pino-Sedeño T, Infante-Ventura D, Hernández-González D, González-Hernández Y, González de León B, Rivero-Santana A, Hurtado I, Acosta Artiles F. Sociodemographic and clinical predictors of adherence to antidepressants in depressive disorders: a systematic review with a meta-analysis. Frontiers in Pharmacology 2024;15 View
  633. Zurlo J, Du P, Haynos A, Collins V, Eshak T, Whitener C. OPT-In For Life: A Mobile Technology–Based Intervention to Improve HIV Care Continuum for Young Adults Living With HIV. Health Promotion Practice 2020;21(5):727 View
  634. Aimo A, Tono I, Benelli E, Morfino P, Panichella G, Damone A, Speltri M, Airò E, Monti S, Passino C, Lazzarini M, De Rosis S, Nuti S, Morelli M, Evangelista C, Poletti R, Emdin M, Bergamasco M. The Fondazione Toscana Gabriele Monasterio app: a digital health system to improve wellbeing of inpatients with heart or lung disease. Journal of Cardiovascular Medicine 2024 View
  635. Elkefi S, Blecker S, Bitan Y. Health Information Technology Supporting Adherence Memory Disorder Patients: A Systematic Literature Review. Applied Clinical Informatics 2024;15(01):085 View
  636. Katz M, Mszar R, Grimshaw A, Gunderson C, Onuma O, Lu Y, Spatz E. Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities. JAMA Network Open 2024;7(2):e2356070 View
  637. Su P, Liu K. Effects of anthropomorphic design on comprehension of self-monitoring test results: Integrating evidence of eye-tracking and event-related potential. Displays 2024;82:102664 View
  638. Lauffenburger J, Yom-Tov E, Keller P, McDonnell M, Crum K, Bhatkhande G, Sears E, Hanken K, Bessette L, Fontanet C, Haff N, Vine S, Choudhry N. The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. npj Digital Medicine 2024;7(1) View
  639. Mittiga S, Freeman N, Furlonger B, Chan P, Leif E. A Content and Quality Evaluation of Mobile Classroom Behavior Management Applications. Journal of Positive Behavior Interventions 2024 View
  640. Amirabadi N, Hessam M, Monjezi S, Molhemi F, Mehravar M, Hosseinpour P. Effectiveness of telerehabilitation intervention to improve pain and physical function in people with patellofemoral pain syndrome: study protocol for a randomized controlled trial. Trials 2024;25(1) View
  641. Amran M, Bilitzky A, Bar-Yishay M, Adler L. The use of medical health applications by primary care physicians in Israel: a cross-sectional study. BMC Health Services Research 2024;24(1) View
  642. Larsen R, Hole K, Selle M, Johannessen Landmark C, Krogstad T, Holm L. Access to a tailored mobile application enhances medication adherence among young users of antidepressants. Frontiers in Pharmacology 2024;15 View
  643. Li Y, Wu X, Liu M, Deng K, Tullini A, Zhang X, Shi J, Lai H, Tonetti M. Enhanced control of periodontitis by an artificial intelligence‐enabled multimodal‐sensing toothbrush and targeted mHealth micromessages: A randomized trial. Journal of Clinical Periodontology 2024 View
  644. Polus M, Keikhosrokiani P, Korhonen O, Behutiye W, Isomursu M. Impact of Digital Interventions on the Treatment Burden of Patients With Chronic Conditions: Protocol for a Systematic Review. JMIR Research Protocols 2024;13:e54833 View
  645. Dériot J, Albertini E. Is CONNECTDROP®, a Medication Event Monitoring System Add-On Paired with a Smartphone Application, Acceptable to Patients with Glaucoma for Taking Their Daily Medication? The CONDORE Pilot Study. Ophthalmology Science 2024;4(6):100541 View
  646. Senyel D, Senn K, Boyd J, Nagels K. A systematic review of telemedicine for neuromuscular diseases: components and determinants of practice. BMC Digital Health 2024;2(1) View
  647. Quach S. What’s Next in MHealth Apps in Rehabilitation: Re-Directing Our Attention to Evaluating Quality. Physiotherapy Canada 2024;76(2):157 View
  648. Quach S. Que nous réservent les applis de santé mobile en réadaptation – se concentrer sur l’évaluation de la qualité. Physiotherapy Canada 2024;76(2):160 View
  649. Yu H, Qiu W, Wang Y, Wu Q, Hu K, Ye Q, Yang Q. Development and validation of a mobile health application usability scale for older adults with chronic diseases (Preprint). JMIR Aging 2023 View
  650. Veerabagu S, Aizman L, Cheng B, Lee M, Barbieri J, Golda N, Carrington A, Mitevski A, Bittar P, Carr D, Eisen D, Somani A, Miller C, Sobanko J, Shin T, Higgins II H, Giordano C, Etzkorn J. Antibiotic adherence in dermatologic surgery: a Multicenter prospective cohort study. Archives of Dermatological Research 2024;316(5) View
  651. Lee J, Lee B, Choi S, Seo J, Choe E. Identify, Adapt, Persist. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2024;8(2):1 View
  652. Galavi Z, Norouzi S, Khajouei R. Heuristics used for evaluating the usability of mobile health applications: A systematic literature review. DIGITAL HEALTH 2024;10 View
  653. Ahmadvand A, Drennan J, Burgess J, Clark M, Kavanagh D, Burns K, Howard S, Kelly F, Campbell C, Nissen L. Novel augmented reality solution for improving health literacy around antihypertensives in people living with type 2 diabetes mellitus: protocol of a technology evaluation study. BMJ Open 2018;8(4):e019422 View
  654. Yoshihara R, Kitamura M, Ishihara K, Kanejima Y, Izawa K. Mobile Health Intervention Reduces Sedentary Time and Physical Inactivity in Patients with Cardiovascular Diseases after Discharge: Systematic Review and Meta-Analysis. Heart and Mind 2024 View
  655. Liao R, Li Y, Yang H, Luo Y. Influence of mHealth-Based Lifestyle Interventions on Symptoms of Anxiety and Depression of Women With Gestational Diabetes: A Meta-Analysis. Clinical Nursing Research 2024;33(6):448 View
  656. Vilela I, Silva N, Pinto R, Driusso P, Pereira‐Baldon V. Effects of using a mobile application on pelvic floor training in women with stress urinary incontinence: A randomized controlled clinical study. Neurourology and Urodynamics 2024;43(8):1997 View
  657. Oudbier S, Souget-Ruff S, Chen B, Ziesemer K, Meij H, Smets E. Implementation barriers and facilitators of remote monitoring, remote consultation and digital care platforms through the eyes of healthcare professionals: a review of reviews. BMJ Open 2024;14(6):e075833 View
  658. Chengang H, Liping W, Shujin W, Chen C, Jiayue Y, Jingjing L, Shujie H, Jieming W, Liyan Y, Ni Z, Jinhui C, Jiaqi S. Multi-stage optimization strategy based on contextual analysis to create M-health components for case management model in breast cancer transitional care: the CMBM study as an example. BMC Nursing 2024;23(1) View
  659. Gergely O, Mazalová R, Štýbnar M, Hlavinka A, Goodfellow N, Scott M, Fleming G, Jochmannová L, Stanke L. Patients’ UX Impact on Medication Adherence in Czech Pilot Study for Chronically Ill. Behavioral Sciences 2024;14(6):489 View
  660. Arshed M, Mahmud A, Minhat H, Lim P, Zakar R. Effectiveness of a Multifaceted Mobile Health Intervention (Multi-Aid-Package) in Medication Adherence and Treatment Outcomes Among Patients With Hypertension in a Low- to Middle-Income Country: Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e50248 View
  661. Lin L, Cheng M, Guo Y, Cao X, Tang W, Xu X, Cheng W, Xu Z. Early discharge hospital at home as alternative to routine hospital care for older people: a systematic review and meta-analysis. BMC Medicine 2024;22(1) View
  662. Graetz I, Hu X, Kocak M, Krukowski R, Anderson J, Waters T, Curry A, Robles A, Paladino A, Stepanski E, Vidal G, Schwartzberg L. Remote Monitoring App for Endocrine Therapy Adherence Among Patients With Early-Stage Breast Cancer. JAMA Network Open 2024;7(6):e2417873 View
  663. Navas C, Minton A, Rodriguez-Leboeuf A. The Role of Patient-Reported Outcomes to Measure Treatment Satisfaction in Drug Development. The Patient - Patient-Centered Outcomes Research 2024;17(6):603 View
  664. Bai X, Zhang H, Jiao Y, Yuan C, Ma Y, Han L. Digital Health Interventions for Chronic Wound Management: A Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e47904 View
  665. Al Khatib I, Shamayleh A, Ndiaye M. Healthcare and the Internet of Medical Things: Applications, Trends, Key Challenges, and Proposed Resolutions. Informatics 2024;11(3):47 View
  666. Mapinduzi J, Ndacayisaba G, Verbrugghe J, Timmermans A, Kossi O, Bonnechère B. Effectiveness of mHealth Interventions to Improve Pain Intensity and Functional Disability in Individuals With Hip or Knee Osteoarthritis: A Systematic Review and Meta-analysis. Archives of Physical Medicine and Rehabilitation 2024 View
  667. Raghavendra A, Jennings K, Guerra G, Tripathy D, Karuturi M. Patient-reported convenience and effectiveness of telehealth for breast cancer management. The Oncologist 2024;29(11):e1470 View
  668. Kumar R, Rani M, Ramsha , Kumar V, Kumar S, Abbas J, Savanti , Kumari M, Kumar A, Santosh , Asghar M. Effectiveness of mobile health intervention for non alcoholic fatty liver disease- A meta analysis of randomized controlled trials. Clinics and Research in Hepatology and Gastroenterology 2024;48(8):102433 View
  669. Zigdon A, Zwilling M, Zigdon O, Reges O. Health Maintenance Organization–mHealth Versus Face-to-Face Interaction for Health Care in Israel: Cross-Sectional Web-Based Survey Study. Journal of Medical Internet Research 2024;26:e55350 View
  670. Kasaye M, Kebede N, Kalayou M, Kebede S, Molla A. Digital health literacy and associated factors among health professionals during the outbreak of corona virus pandemic in Ethiopia: A systematic review and meta-analysis. DIGITAL HEALTH 2024;10 View
  671. Castillo-Valdez P, Rodriguez-Salvador M, Ho Y. Scientific Production Dynamics in mHealth for Diabetes: Scientometric Analysis. JMIR Diabetes 2024;9:e52196 View
  672. Soltane H, Lazrak I, Chelly S, Khrouf M, Younes S, Haddaji O, Mahjoub M, Mezgar Z. Place of telemedicine in the organization of emergency care: feasibility and benefits. BMC Emergency Medicine 2024;24(1) View
  673. Nabiolahi A, Sedghi S, Aghili R, Nemati-Anaraki L. Personalization of health information prescription in diabetes clinical setting. Journal of Education and Health Promotion 2021;10(1):103 View
  674. Tak Y, Lee J, Kim J, Lee Y. Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices. Journal of Medical Internet Research 2024;26:e59444 View
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  676. Cho H, Nguyen O, Weaver M, Pruitt J, Marcelle C, Salloum R, Keenan G. Electronic health record system use and documentation burden of acute and critical care nurse clinicians: a mixed-methods study. Journal of the American Medical Informatics Association 2024;31(11):2540 View
  677. Kopka M, Slagman A, Schorr C, Krampe H, Altendorf M, Balzer F, Bolanaki M, Kuschick D, Möckel M, Napierala H, Scatturin L, Schmidt K, Thissen A, Schmieding M. German mHealth App Usability Questionnaire (G-MAUQ) and short version (G-MAUQ-S): Translation and validation study. Smart Health 2024;34:100517 View
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  681. Noukpo S, Kossi O, Amanzonwé E, Coninx K, Spooren A, Bonnechère B, Adoukonou T, Feys P. Feasibility of a 10-week community-based mobile health rehabilitation program using the WalkWithMe application in late sub-acute and chronic stroke survivors in a low resource setting: A pilot study. Journal of Sports Sciences 2024;42(20):1939 View
  682. Demir E, Yakutcan U, Adeoti A, Isichei C, Adeyemi S. Evaluating mobile health interventions for HIV patients in Nigeria: Healthcare policy implications from a simulation study. Health Policy and Technology 2024;13(6):100937 View
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  685. Canfield S, Koopman R. Facilitators and Barriers to Integrating Patient-Generated Blood Pressure Data into Primary Care EHR Workflows. Applied Clinical Informatics 2024;15(05):942 View
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Books/Policy Documents

  1. Agbehadji I, Millham R, Abayomi A, Biney E, Yeboah K. Innovations in Smart Cities Applications Edition 3. View
  2. Schomakers E, Lidynia C, Ziefle M. Advances in Human Factors in Wearable Technologies and Game Design. View
  3. El-Saifi N, Moyle W, Jones C, Tuffaha H. Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. View
  4. Messner E, Probst T, O’Rourke T, Stoyanov S, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  5. Badr N, Sorrentino M, De Marco M. Exploring Service Science. View
  6. Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Lifestyle Medicine. View
  7. Martin-Khan M, Freeman S, Adam K, Betkus G. Mobile e-Health. View
  8. Egger G, Sagner M, Meldrum H, Katz D, Lawson R. Präventionsmedizin. View
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