Published on in Vol 2, No 2 (2014): Apr-Jun

An Evaluation of Mobile Health Application Tools

An Evaluation of Mobile Health Application Tools

An Evaluation of Mobile Health Application Tools

Journals

  1. REY-MARTÍNEZ J, ESPINOSA-SÁNCHEZ J. Diseño y desarrollo de una aplicación para dispositivos móviles para el seguimiento y control de la enfermedad de Ménière. Revista ORL 2019;10(1):11 View
  2. Imschloss M, Lorenz J. How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing. JMIR mHealth and uHealth 2018;6(4):e81 View
  3. Bell K, Warnick E, Nicholson K, Ulcoq S, Kim S, Schroeder G, Vaccaro A. Patient Adoption and Utilization of a Web-Based and Mobile-Based Portal for Collecting Outcomes After Elective Orthopedic Surgery. American Journal of Medical Quality 2018;33(6):649 View
  4. Wang T, Ren M, Shen Y, Zhu X, Zhang X, Gao M, Chen X, Zhao A, Shi Y, Chai W, Liu X, Sun X. The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects. JMIR mHealth and uHealth 2019;7(9):e12606 View
  5. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65 View
  6. Pouliakis A. Third Age and Mobile Health. International Journal of Reliable and Quality E-Healthcare 2019;8(4):67 View
  7. Nguyen K, Olgin J, Pletcher M, Ng M, Kaye L, Moturu S, Gladstone R, Malladi C, Fann A, Maguire C, Bettencourt L, Christensen M, Marcus G. Smartphone-Based Geofencing to Ascertain Hospitalizations. Circulation: Cardiovascular Quality and Outcomes 2017;10(3) View
  8. Escoffery C, McGee R, Bidwell J, Sims C, Thropp E, Frazier C, Mynatt E. A review of mobile apps for epilepsy self-management. Epilepsy & Behavior 2018;81:62 View
  9. Silva W, Viana R, Santos D, Vancini R, Andrade M, De Lira C. Profiling Rest Intervals between Sets and Associated Factors in Resistance Training Participants. Sports 2018;6(4):134 View
  10. Gabrielli S, Dianti M, Maimone R, Betta M, Filippi L, Ghezzi M, Forti S. Design of a Mobile App for Nutrition Education (TreC-LifeStyle) and Formative Evaluation With Families of Overweight Children. JMIR mHealth and uHealth 2017;5(4):e48 View
  11. 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
  12. Paglialonga A, Pinciroli F, Tognola G. The ALFA4Hearing Model (At-a-Glance Labeling for Features of Apps for Hearing Health Care) to Characterize Mobile Apps for Hearing Health Care. American Journal of Audiology 2017;26(3S):408 View
  13. König L, Sproesser G, Schupp H, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55 View
  14. Jacques A, Chaaya N, Beecher K, Ali S, Belmer A, Bartlett S. The impact of sugar consumption on stress driven, emotional and addictive behaviors. Neuroscience & Biobehavioral Reviews 2019;103:178 View
  15. Larrosa F, Rama-Lopez J, Benitez J, Morales J, Martinez A, Alañon M, Arancibia-Tagle D, Batuecas-Caletrio A, Martinez-Lopez M, Perez-Fernandez N, Gimeno C, Ispizua A, Urrutikoetxea A, Rey-Martinez J. Development and evaluation of an audiology app for iPhone/iPad mobile devices. Acta Oto-Laryngologica 2015;135(11):1119 View
  16. Higgins J. Smartphone Applications for Patients' Health and Fitness. The American Journal of Medicine 2016;129(1):11 View
  17. Kim J, Thapa B, Jang S, Yang E. Seasonal Spatial Activity Patterns of Visitors with a Mobile Exercise Application at Seoraksan National Park, South Korea. Sustainability 2018;10(7):2263 View
  18. Yang X, Ma L, Zhao X, Kankanhalli A. Factors influencing user’s adherence to physical activity applications: A scoping literature review and future directions. International Journal of Medical Informatics 2020;134:104039 View
  19. Alenazi H, Jamal A, Batais M. Identification of Type 2 Diabetes Management Mobile App Features and Engagement Strategies: Modified Delphi Approach. JMIR mHealth and uHealth 2020;8(9):e17083 View
  20. YUNGWOOKKIM , Haein Kim , Hyeonji Moon , 이하나 . A Study on Usage Effect and Acceptance Factors of a Particulate Matter Application (App). Journal of Public Relations 2017;21(4):114 View
  21. Åkerberg A, Söderlund A, Lindén M. Investigation of the validity and reliability of a smartphone pedometer application. European Journal of Physiotherapy 2016;18(3):185 View
  22. Zhang M, Yu J, Shen W, Zhang Y, Xiang Y, Zhang X, Lin Z, Yan T. A mobile app implementing the international classification of functioning, disability and health rehabilitation set. BMC Medical Informatics and Decision Making 2020;20(1) View
  23. Hsu J, Liu D, Yu Y, Zhao H, Chen Z, Li J, Chen W. The Top Chinese Mobile Health Apps: A Systematic Investigation. Journal of Medical Internet Research 2016;18(8):e222 View
  24. Shen N, Levitan M, Johnson A, Bender J, Hamilton-Page M, Jadad A, Wiljer D. Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace. JMIR mHealth and uHealth 2015;3(1):e16 View
  25. Metelmann B, Metelmann C, Schuffert L, Hahnenkamp K, Brinkrolf P. Medical Correctness and User Friendliness of Available Apps for Cardiopulmonary Resuscitation: Systematic Search Combined With Guideline Adherence and Usability Evaluation. JMIR mHealth and uHealth 2018;6(11):e190 View
  26. Segura-Garcia J, Garcia-Pineda M, Tamarit-Tronch M, Cibrian R, Salvador-Palmer R. Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring. Electronics 2018;7(9):183 View
  27. Ouhbi S, Fernández-Alemán J, Toval A, Idri A, Pozo J. Free Blood Donation Mobile Applications. Journal of Medical Systems 2015;39(5) View
  28. de Garibay V, Fernández M, de la Torre-Díez I, López-Coronado M. Utility of a mHealth App for Self-Management and Education of Cardiac Diseases in Spanish Urban and Rural Areas. Journal of Medical Systems 2016;40(8) View
  29. Oeldorf-Hirsch A, High A, Christensen J. Count Your Calories and Share Them: Health Benefits of Sharing mHealth Information on Social Networking Sites. Health Communication 2019;34(10):1130 View
  30. Liu Y, Chen C, Lee C, Lin Y, Chen H, Yeh J, Chiu S. Design and usability evaluation of user-centered and visual-based aids for dietary food measurement on mobile devices in a randomized controlled trial. Journal of Biomedical Informatics 2016;64:122 View
  31. Wang C, Chaovalit P, Pongnumkul S. A Breastfeed-Promoting Mobile App Intervention: Usability and Usefulness Study. JMIR mHealth and uHealth 2018;6(1):e27 View
  32. Guede-Fernández F, Ferrer-Mileo V, Mateu-Mateus M, Ramos-Castro J, García-González M, Fernández-Chimeno M. A photoplethysmography smartphone-based method for heart rate variability assessment: device model and breathing influences. Biomedical Signal Processing and Control 2020;57:101717 View
  33. Wang Q, Egelandsdal B, Amdam G, Almli V, Oostindjer M. Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR mHealth and uHealth 2016;4(2):e33 View
  34. Barczik J, Serpanos Y. Accuracy of Smartphone Self-Hearing Test Applications Across Frequencies and Earphone Styles in Adults. American Journal of Audiology 2018;27(4):570 View
  35. Sallis J. Pathways for translating behavioral medicine research to practice and policy. Translational Behavioral Medicine 2019;9(6):1248 View
  36. Georgsson M, Staggers N, Årsand E, Kushniruk A. Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation. Journal of Biomedical Informatics 2019;91:103110 View
  37. Druce K, Dixon W, McBeth J. Maximizing Engagement in Mobile Health Studies. Rheumatic Disease Clinics of North America 2019;45(2):159 View
  38. Daniëls N, Hochstenbach L, van Bokhoven M, Beurskens A, Delespaul P. Implementing Experience Sampling Technology for Functional Analysis in Family Medicine – A Design Thinking Approach. Frontiers in Psychology 2019;10 View
  39. Enciso J, Variya D, Sunthonlap J, Sarmiento T, Lee K, Velasco J, Pebdani R, de Leon R, Dy C, Keslacy S, Won D. Electromyography-Driven Exergaming in Wheelchairs on a Mobile Platform: Bench and Pilot Testing of the WOW-Mobile Fitness System. JMIR Rehabilitation and Assistive Technologies 2021;8(1):e16054 View
  40. Giesbrecht E, Miller W. A randomized control trial feasibility evaluation of anmHealth intervention for wheelchair skill training among middle-aged and older adults. PeerJ 2017;5:e3879 View
  41. Ferdinand K, Senatore F, Clayton-Jeter H, Cryer D, Lewin J, Nasser S, Fiuzat M, Califf R. Improving Medication Adherence in Cardiometabolic Disease. Journal of the American College of Cardiology 2017;69(4):437 View
  42. Angelini S, Alicastro G, Dionisi S, Di Muzio M. Structure and Characteristics of Diabetes Self-management Applications. CIN: Computers, Informatics, Nursing 2019;37(7):340 View
  43. Moumtzoglou A, Pouliakis A. Population Health Management and the Science of Individuality. International Journal of Reliable and Quality E-Healthcare 2018;7(2):1 View
  44. Garnweidner-Holme L, Hoel Andersen T, Sando M, Noll J, Lukasse M. Health Care Professionals’ Attitudes Toward, and Experiences of Using, a Culture-Sensitive Smartphone App for Women with Gestational Diabetes Mellitus: Qualitative Study. JMIR mHealth and uHealth 2018;6(5):e123 View
  45. 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
  46. Choo S, Kim J, Jung S, Kim S, Kim J, Han J, Kim S, Kim J, Kim J, Kim Y, Kim D, Steinhubl S. Development of a Weight Loss Mobile App Linked With an Accelerometer for Use in the Clinic: Usability, Acceptability, and Early Testing of its Impact on the Patient-Doctor Relationship. JMIR mHealth and uHealth 2016;4(1):e24 View
  47. Sigler B. Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study. JMIR mHealth and uHealth 2017;5(3):e36 View
  48. Smith W. Communication, Sportsmanship, and Negotiating Ethical Conduct on the Digital Playing Field. Communication & Sport 2017;5(2):160 View
  49. Lai D, Zhong J, Lu T, Pu J. Patient education in sudden sensorineural hearing loss: Knowledge, attitude/belief, and practice findings among otolaryngologists and otologists in China. Patient Education and Counseling 2019;102(1):93 View
  50. Thornham H. Algorithmic vulnerabilities and the datalogical: Early motherhood and tracking-as-care regimes. Convergence: The International Journal of Research into New Media Technologies 2019;25(2):171 View
  51. Maycock B, Scott J, Hauck Y, Burns S, Robinson S, Giglia R, Jorgensen A, White B, Harries A, Dhaliwal S, Howat P, Binns C. A study to prolong breastfeeding duration: design and rationale of the Parent Infant Feeding Initiative (PIFI) randomised controlled trial. BMC Pregnancy and Childbirth 2015;15(1) View
  52. Ramirez V, Johnson E, Gonzalez C, Ramirez V, Rubino B, Rossetti G. Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics. JMIR mHealth and uHealth 2016;4(2):e41 View
  53. Lee Y, Moon M. Utilization and Content Evaluation of Mobile Applications for Pregnancy, Birth, and Child Care. Healthcare Informatics Research 2016;22(2):73 View
  54. Donevant S, Estrada R, Culley J, Habing B, Adams S. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407 View
  55. McKay F, Cheng C, Wright A, Shill J, Stephens H, Uccellini M. Evaluating mobile phone applications for health behaviour change: A systematic review. Journal of Telemedicine and Telecare 2018;24(1):22 View
  56. Vaghefi I, Tulu B. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study. JMIR mHealth and uHealth 2019;7(8):e12983 View
  57. Nguyen E, Bugno L, Kandah C, Plevinsky J, Poulopoulos N, Wojtowicz A, Schneider K, Greenley R. Is There a Good App for That? Evaluating m-Health Apps for Strategies That Promote Pediatric Medication Adherence. Telemedicine and e-Health 2016;22(11):929 View
  58. Gordon J, Armin J, D. Hingle M, Giacobbi P, Cunningham J, Johnson T, Abbate K, Howe C, Roe D. Development and evaluation of the See Me Smoke-Free multi-behavioral mHealth app for women smokers. Translational Behavioral Medicine 2017;7(2):172 View
  59. Hoj T, Covey E, Jones A, Haines A, Hall P, Crookston B, West J. How Do Apps Work? An Analysis of Physical Activity App Users’ Perceptions of Behavior Change Mechanisms. JMIR mHealth and uHealth 2017;5(8):e114 View
  60. Figueroa J, Schnipper J, McNally K, Stade D, Lipsitz S, Dalal A. How often are hospitalized patients and providers on the same page with regard to the patient's primary recovery goal for hospitalization?. Journal of Hospital Medicine 2016;11(9):615 View
  61. Chung A, Griffin A, Selezneva D, Gotz D. Health and Fitness Apps for Hands-Free Voice-Activated Assistants: Content Analysis. JMIR mHealth and uHealth 2018;6(9):e174 View
  62. Forman E, Goldstein S, Crochiere R, Butryn M, Juarascio A, Zhang F, Foster G. Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss. Translational Behavioral Medicine 2019;9(6):989 View
  63. Sperlich B, Hahn L, Edel A, Behr T, Helmprobst J, Leppich R, Wallmann-Sperlich B, Holmberg H. A 4-Week Intervention Involving Mobile-Based Daily 6-Minute Micro-Sessions of Functional High-Intensity Circuit Training Improves Strength and Quality of Life, but Not Cardio-Respiratory Fitness of Young Untrained Adults. Frontiers in Physiology 2018;9 View
  64. Chen J, Bauman A, Allman-Farinelli M. A Study to Determine the Most Popular Lifestyle Smartphone Applications and Willingness of the Public to Share Their Personal Data for Health Research. Telemedicine and e-Health 2016;22(8):655 View
  65. Ribeiro N, Moreira L, Almeida A, Santos-Silva F. Pilot study of a smartphone-based intervention to promote cancer prevention behaviours. International Journal of Medical Informatics 2017;108:125 View
  66. Flanagin V, Fisher P, Olcay B, Kohlbecher S, Brandt T. A bedside application-based assessment of spatial orientation and memory: approaches and lessons learned. Journal of Neurology 2019;266(S1):126 View
  67. Alencar D, Carvalho D, Silva P. Online support of virtual communities to diabetes mellitus carrier: bibliometric review. Revista de Pesquisa Cuidado é Fundamental Online 2020:1208 View
  68. Wang W, Reani M. The rise of mobile computing for Group Decision Support Systems: A comparative evaluation of mobile and desktop. International Journal of Human-Computer Studies 2017;104:16 View
  69. McKay F, Slykerman S, Dunn M. The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change. JMIR mHealth and uHealth 2019;7(1):e11130 View
  70. DeForte S, Sezgin E, Huefner J, Lucius S, Luna J, Satyapriya A, Malhotra P. Usability of a Mobile App for Improving Literacy in Children With Hearing Impairment: Focus Group Study. JMIR Human Factors 2020;7(2):e16310 View
  71. Smith W, Treem J. Striving to Be King of Mobile Mountains: Communication and Organizing Through Digital Fitness Technology. Communication Studies 2017;68(2):135 View
  72. Dixon W, Michaud K. Using technology to support clinical care and research in rheumatoid arthritis. Current Opinion in Rheumatology 2018;30(3):276 View
  73. Oyebode O, Alqahtani F, Orji R. Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews. IEEE Access 2020;8:111141 View
  74. Dhiman N, Arora N, Dogra N, Gupta A. Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research 2019;12(3):363 View
  75. Revenäs Å, Opava C, Martin C, Demmelmaier I, Keller C, Åsenlöf P. Development of a Web-Based and Mobile App to Support Physical Activity in Individuals With Rheumatoid Arthritis: Results From the Second Step of a Co-Design Process. JMIR Research Protocols 2015;4(1):e22 View
  76. Xu W, Liu Y. mHealthApps: A Repository and Database of Mobile Health Apps. JMIR mHealth and uHealth 2015;3(1):e28 View
  77. Li J, Liu X, Ma L, Zhang W. Users’ intention to continue using social fitness-tracking apps: expectation confirmation theory and social comparison theory perspective. Informatics for Health and Social Care 2019;44(3):298 View
  78. Inupakutika D, Kaghyan S, Akopian D, Chalela P, Ramirez A. Facilitating the development of cross-platform mHealth applications for chronic supportive care and a case study. Journal of Biomedical Informatics 2020;105:103420 View
  79. Yang Q, Van Stee S. The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review. JMIR mHealth and uHealth 2019;7(4):e11244 View
  80. Suarez-Lledo V, Alvarez-Galvez J. Prevalence of Health Misinformation on Social Media: Systematic Review. Journal of Medical Internet Research 2021;23(1):e17187 View
  81. Heuser J, Maeda A, Yang L, Masino C, Duggal S, Jackson T, Okrainec A. Impact of a Mobile App to Support Home Recovery of Patients Undergoing Bariatric Surgery. Journal of Surgical Research 2021;261:179 View
  82. Alshathri D, Alhumaimeedy A, Al-Hudhud G, Alsaleh A, Al-Musharaf S, Aljuraiban G. Weight Management Apps in Saudi Arabia: Evaluation of Features and Quality. JMIR mHealth and uHealth 2020;8(10):e19844 View
  83. Wang Y, Collins W. Systematic evaluation of mobile fitness apps: Apps as the Tutor, Recorder, Game Companion, and Cheerleader. Telematics and Informatics 2021;59:101552 View
  84. Golden E, Zweig M, Danieletto M, Landell K, Nadkarni G, Bottinger E, Katz L, Somarriba R, Sharma V, Katz C, Marin D, DePierro J, Charney D. A Resilience-Building App to Support the Mental Health of Health Care Workers in the COVID-19 Era: Design Process, Distribution, and Evaluation. JMIR Formative Research 2021;5(5):e26590 View
  85. Liu X, Jin F, Hsu J, Li D, Chen W. Comparing Smartphone Apps for Traditional Chinese Medicine and Modern Medicine in China: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2021;9(3):e27406 View
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  88. Giesbrecht E, Miller W, Jin B, Mitchell I, Eng J. Rehab on Wheels: A Pilot Study of Tablet-Based Wheelchair Training for Older Adults. JMIR Rehabilitation and Assistive Technologies 2015;2(1):e3 View
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  90. Chow J, Elizabeth Pathak L, Yeh S. Using mobile apps in social work behavioral health care service: The case for China. International Social Work 2021;64(5):689 View
  91. Alghareeb M, Albesher A, Asif A. Studying Users’ Perceptions of COVID-19 Mobile Applications in Saudi Arabia. Sustainability 2023;15(2):956 View
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Books/Policy Documents

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  7. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
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  10. Van Stee S, Yang Q. Technology and Health. View
  11. Trobec R, Tomašić I, Rashkovska A, Depolli M, Avbelj V. Body Sensors and Electrocardiography. View
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  15. De Santo A, Holzer A. Information Systems. View
  16. Tamposis I, Pouliakis A, Fezoulidis I, Karakitsos P. M-Health Innovations for Patient-Centered Care. View
  17. Pouliakis A, Archondakis S, Margari N, Karakitsos P. Data Analytics in Medicine. View
  18. Azorin-Lopez J, Fuster-Guillo A, Saval-Calvo M, Bradley D. Mechatronic Futures. View
  19. Pouliakis A, Karakitsou E, Margari N. Mobile Health Applications for Quality Healthcare Delivery. View
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