Published on in Vol 15, No 6 (2013): June

Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis

Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis

Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis

Journals

  1. Ye Q, Khan U, Boren S, Simoes E, Kim M. An Analysis of Diabetes Mobile Applications Features Compared to AADE7™: Addressing Self-Management Behaviors in People With Diabetes. Journal of Diabetes Science and Technology 2018;12(4):808 View
  2. Barber T, Sharif B, Teare S, Miller J, Shewchuk B, Green L, Marlett N, Cibere J, Mrklas K, Wasylak T, Li L, Campbell-Scherer D, Marshall D. Qualitative study to elicit patients’ and primary care physicians’ perspectives on the use of a self-management mobile health application for knee osteoarthritis. BMJ Open 2019;9(1):e024016 View
  3. McCune D, Graf E, Masterson J, Cuda A. Feasibility of Recommending mHealth Solutions to Patients Receiving Virtual Primary Care. Telehealth and Medicine Today 2019;4 View
  4. Dotson J, Pineda R, Cylkowski H, Amiri S. Development and Evaluation of an iPad Application to Promote Knowledge of Tobacco Use and Cessation by Pregnant Women. Nursing for Women's Health 2017;21(3):174 View
  5. Muntaner A, Vidal-Conti J, Palou P. Increasing physical activity through mobile device interventions: A systematic review. Health Informatics Journal 2016;22(3):451 View
  6. Bliss D, Gurvich O, Patel S, Meyer I, Richter H. Self-management of accidental bowel leakage and interest in a supportive m-Health app among women. International Urogynecology Journal 2020;31(6):1133 View
  7. Neumann B, Stefanik M, Gonzalvo J, Weber Z. Diabetes mHealth Applications. AADE in Practice 2016;4(5):28 View
  8. Zanchetta M, Cognet M, Lam-Kin-Teng M, Dumitriu M, Haag C, Kadio B, Desgrandchamps F, Rénaud L. Insights for public education provided by French media on ideas about prostate cancer – A media analysis study. Health Promotion Perspectives 2018;8(2):92 View
  9. Kamel Boulos M, Gammon S, Dixon M, MacRury S, Fergusson M, Miranda Rodrigues F, Mourinho Baptista T, Yang S. Digital Games for Type 1 and Type 2 Diabetes: Underpinning Theory With Three Illustrative Examples. JMIR Serious Games 2015;3(1):e3 View
  10. Nussbaum R, Kelly C, Quinby E, Mac A, Parmanto B, Dicianno B. Systematic Review of Mobile Health Applications in Rehabilitation. Archives of Physical Medicine and Rehabilitation 2019;100(1):115 View
  11. Khan K, Evans S, Bielko S, Rohlman D. Efficacy of technology-based interventions to increase the use of hearing protections among adolescent farmworkers. International Journal of Audiology 2018;57(2):124 View
  12. Choi W, Wang S, Lee Y, Oh H, Zheng Z. A systematic review of mobile health technologies to support self-management of concurrent diabetes and hypertension. Journal of the American Medical Informatics Association 2020;27(6):939 View
  13. Chang J, Ryou N, Jun H, Hwang S, Song J, Chae S, de Wit H. Effect of Cigarette Smoking and Passive Smoking on Hearing Impairment: Data from a Population–Based Study. PLOS ONE 2016;11(1):e0146608 View
  14. Taylor A, Siddiqui F. Bringing Global Health Home: The Case of Global to Local in King County, Washington. Annals of Global Health 2017;82(6):972 View
  15. Singh S, Jain S. Factors associated with deaf-mutism in children attending special schools of rural central India: A survey. Journal of Family Medicine and Primary Care 2020;9(7):3256 View
  16. Zhang X, Yan X, Cao X, Sun Y, Chen H, She J. The role of perceived e-health literacy in users’ continuance intention to use mobile healthcare applications: an exploratory empirical study in China. Information Technology for Development 2018;24(2):198 View
  17. O'Connor Y, O'Sullivan T, Gallagher J, Heavin C, Hardy V, O'Donoghue J. A mobile health technology intervention for addressing the critical public health issue of child mortality. THE ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES 2018;84(1) View
  18. Wittich W, Jarry J, Morrice E, Johnson A. Effectiveness of the Apple iPad as a Spot-reading Magnifier. Optometry and Vision Science 2018;95(9):704 View
  19. Bolster N, Giardini M, Livingstone I, Bastawrous A. How the smartphone is driving the eye-health imaging revolution. Expert Review of Ophthalmology 2014;9(6):475 View
  20. Iglesias-Posadilla D, Gómez-Marcos V, Hernández-Tejedor A. Apps y Medicina Intensiva. Medicina Intensiva 2017;41(4):227 View
  21. Schellong J, Lorenz P, Weidner K. Proposing a standardized, step-by-step model for creating post-traumatic stress disorder (PTSD) related mobile mental health apps in a framework based on technical and medical norms. European Journal of Psychotraumatology 2019;10(1) View
  22. Kroska E, Hoel S, Victory A, Murphy S, McInnis M, Stowe Z, Cochran A. Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials. JMIR Research Protocols 2020;9(9):e17086 View
  23. Robbins R, Krebs P, Jagannathan R, Jean-Louis G, Duncan D. Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status. JMIR mHealth and uHealth 2017;5(12):e197 View
  24. Dodick D, Tepper S, Lipton R, Buse D, Stewart W, Bayliss M, Desai P, Sapra S, Anderson K, McInerney‐Prichard E. Improving Medical Communication in Migraine Management: A Modified Delphi Study to Develop a Digital Migraine Tracker. Headache: The Journal of Head and Face Pain 2018;58(9):1358 View
  25. Van Gool A, Corrales F, Čolović M, Krstić D, Oliver-Martos B, Martínez-Cáceres E, Jakasa I, Gajski G, Brun V, Kyriacou K, Burzynska-Pedziwiatr I, Wozniak L, Nierkens S, Pascual García C, Katrlik J, Bojic-Trbojevic Z, Vacek J, Llorente A, Antohe F, Suica V, Suarez G, t’Kindt R, Martin P, Penque D, Martins I, Bodoki E, Iacob B, Celikbas E, Timur S, Allinson J, Sutton C, Luider T, Wittfooth S, Sammar M. Analytical techniques for multiplex analysis of protein biomarkers. Expert Review of Proteomics 2020;17(4):257 View
  26. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Herreros-González J. Mobile Apps in Cardiology: Review. JMIR mhealth and uhealth 2013;1(2):e15 View
  27. Nicholas J, Larsen M, Proudfoot J, Christensen H. Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality. Journal of Medical Internet Research 2015;17(8):e198 View
  28. Kim E, Kwak S, Jung H, Koo B, Moon M, Lim S, Jang H, Park K, Cho Y. The Effect of a Smartphone-Based, Patient-Centered Diabetes Care System in Patients With Type 2 Diabetes: A Randomized, Controlled Trial for 24 Weeks. Diabetes Care 2019;42(1):3 View
  29. Gonzalez-Polledo E. Can digital health save democracy? Meeting the cosmopolitical challenge of digital worlds. Journal of Social and Political Psychology 2018;6(2):631 View
  30. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Sainz-de-Abajo B, Robles M, García-Gómez J. Mobile Clinical Decision Support Systems and Applications: A Literature and Commercial Review. Journal of Medical Systems 2014;38(1) View
  31. Donker T, Petrie K, Proudfoot J, Clarke J, Birch M, Christensen H. Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review. Journal of Medical Internet Research 2013;15(11):e247 View
  32. Ji D, Xu N, Liu Z, Shi Z, Low S, Liu J, Cheng C, Zhu J, Zhang T, Xu H, Yu X, Liu Q. Smartphone-based differential pulse amperometry system for real-time monitoring of levodopa with carbon nanotubes and gold nanoparticles modified screen-printing electrodes. Biosensors and Bioelectronics 2019;129:216 View
  33. Lungu A, Sun M. Time for a Change: College Students' Preference for Technology-Mediated Versus Face-to-Face Help for Emotional Distress. Telemedicine and e-Health 2016;22(12):991 View
  34. Karasouli E, Adams A. Assessing the Evidence for e-Resources for Mental Health Self-Management: A Systematic Literature Review. JMIR Mental Health 2014;1(1):e3 View
  35. Wang Z, Zhang L, Ma L, Liu B. Modeling Medical Services with Mobile Health Applications. Journal of Healthcare Engineering 2018;2018:1 View
  36. Rathnayake S, Moyle W, Jones C, Calleja P. Development of an mHealth application for family carers of people with dementia: A study protocol. Collegian 2019;26(2):295 View
  37. Hussain-Shamsy N, Shah A, Vigod S, Zaheer J, Seto E. Mobile Health for Perinatal Depression and Anxiety: Scoping Review. Journal of Medical Internet Research 2020;22(4):e17011 View
  38. Bondaronek P, Alkhaldi G, Slee A, Hamilton F, Murray E. Quality of Publicly Available Physical Activity Apps: Review and Content Analysis. JMIR mHealth and uHealth 2018;6(3):e53 View
  39. Göbel H, Frank B, Heinze A, Göbel C, Göbel A, Gendolla A, Horlemann J, Rupp K, Zimmermann W. Zeitgemäße ärztliche Verlaufs- und Erfolgskontrolle mit der "Migräne-App". Schmerzmedizin 2020;36(5):28 View
  40. Rangarajan A. Review: Emerging Trends in Healthcare Adoption of Wireless Body Area Networks. Biomedical Instrumentation & Technology 2016;50(4):264 View
  41. Azevedo A, de Sousa H, Monteiro J, Lima A. Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International 2015;35(3):419 View
  42. Singh K, Drouin K, Newmark L, Filkins M, Silvers E, Bain P, Zulman D, Lee J, Rozenblum R, Pabo E, Landman A, Klinger E, Bates D. Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 2016;4(4):e136 View
  43. Bruen A, Wall A, Haines-Delmont A, Perkins E. Exploring Suicidal Ideation Using an Innovative Mobile App-Strength Within Me: The Usability and Acceptability of Setting up a Trial Involving Mobile Technology and Mental Health Service Users. JMIR Mental Health 2020;7(9):e18407 View
  44. Oluwagbemi O, Oluwagbemi F, Ughamadu C. Android Mobile Informatics Application for some Hereditary Diseases and Disorders (AMAHD): A complementary framework for medical practitioners and patients. Informatics in Medicine Unlocked 2016;2:38 View
  45. Romero R, Kates F, Hart M, Ojeda A, Meirom I, Hardy S. Quality of Deaf and Hard-of-Hearing Mobile Apps: Evaluation Using the Mobile App Rating Scale (MARS) With Additional Criteria From a Content Expert. JMIR mHealth and uHealth 2019;7(10):e14198 View
  46. Ackerman I, Bucknill A, Page R, Broughton N, Roberts C, Cavka B, Schoch P, Brand C. Preferences for Disease‐Related Education and Support Among Younger People With Hip or Knee Osteoarthritis. Arthritis Care & Research 2017;69(4):499 View
  47. Brietzke E, Hawken E, Idzikowski M, Pong J, Kennedy S, Soares C. Integrating digital phenotyping in clinical characterization of individuals with mood disorders. Neuroscience & Biobehavioral Reviews 2019;104:223 View
  48. Dehling T, Gao F, Schneider S, Sunyaev A. Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android. JMIR mHealth and uHealth 2015;3(1):e8 View
  49. Roy M, Dip F, Rosales A, Roche M, Hutchins R. Smartphone Application as an Education Platform in Hepato-Pancreato-Biliary Surgery. Surgical Innovation 2019;26(5):613 View
  50. Martínez-Pérez B, de la Torre-Díez I, López-Coronado M, Sainz-De-Abajo B. Comparison of Mobile Apps for the Leading Causes of Death Among Different Income Zones: A Review of the Literature and App Stores. JMIR mhealth and uhealth 2014;2(1):e1 View
  51. Qu C, Sas C, Daudén Roquet C, Doherty G. Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation. JMIR Mental Health 2020;7(1):e15321 View
  52. Anthes E. Mental health: There’s an app for that. Nature 2016;532(7597):20 View
  53. Phung L, Gregori N, Ortiz A, Shi W, Schiffman J. REPRODUCIBILITY AND COMPARISON OF VISUAL ACUITY OBTAINED WITH SIGHTBOOK MOBILE APPLICATION TO NEAR CARD AND SNELLEN CHART. Retina 2016;36(5):1009 View
  54. Shen L, Xiong B, Li W, Lan F, Evans R, Zhang W. Visualizing Collaboration Characteristics and Topic Burst on International Mobile Health Research: Bibliometric Analysis. JMIR mHealth and uHealth 2018;6(6):e135 View
  55. Chiauzzi E, Newell A. Mental Health Apps in Psychiatric Treatment: A Patient Perspective on Real World Technology Usage. JMIR Mental Health 2019;6(4):e12292 View
  56. Li J, Zhang C, Li X, Zhang C. Patients’ emotional bonding with MHealth apps: An attachment perspective on patients’ use of MHealth applications. International Journal of Information Management 2020;51:102054 View
  57. Girard M, Nubukpo P, Malauzat D. Snapshot of the supports of communication used by patients at a French psychiatric hospital: a digital or social division?. Journal of Mental Health 2017;26(1):8 View
  58. Wu C, Wu S, Chen P, Lin Y. An Innovative Smartphone-Based Otorhinoendoscope and Its Application in Mobile Health and Teleotolaryngology. Journal of Medical Internet Research 2014;16(3):e71 View
  59. Echarri A, Vera I, Ollero V, Arajol C, Riestra S, Robledo P, Calvo M, Gallego F, Ceballos D, Castro B, Aguas M, García-López S, Marín-Jiménez I, Chaparro M, Mesonero P, Guerra I, Guardiola J, Nos P, Muñiz J. The Harvey–Bradshaw Index Adapted to a Mobile Application Compared with In-Clinic Assessment: The MediCrohn Study. Telemedicine and e-Health 2020;26(1):78 View
  60. Ashurst E, Jones R. Is the Health App Challenge approach of patient-led application conception, development, and review worthwhile?. Health Policy and Technology 2017;6(1):83 View
  61. Mann D, Riddell L, Lim K, Byrne L, Nowson C, Rigo M, Szymlek-Gay E, Booth A. Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation. JMIR mHealth and uHealth 2015;3(3):e92 View
  62. Wang L, Naudé N, Chang Y, Crivaro A, Kamoun M, Wang P, Li L. An ultra‐low‐cost smartphone octochannel spectrometer for mobile health diagnostics. Journal of Biophotonics 2018;11(8) View
  63. Saripalle R, Runyan C, Russell M. Using HL7 FHIR to achieve interoperability in patient health record. Journal of Biomedical Informatics 2019;94:103188 View
  64. Van Voorhees B, Gladstone T, Cordel S, Marko-Holguin M, Beardslee W, Kuwabara S, Kaplan M, Fogel J, Diehl A, Hansen C, Bell C. Development of a technology-based behavioral vaccine to prevent adolescent depression: A health system integration model. Internet Interventions 2015;2(3):303 View
  65. Zhou A, Patel V, Baredes S, Eloy J, Hsueh W. Mobile Applications for Allergic Rhinitis. Annals of Otology, Rhinology & Laryngology 2018;127(11):836 View
  66. Sindi S, Calov E, Fokkens J, Ngandu T, Soininen H, Tuomilehto J, Kivipelto M. The CAIDE Dementia Risk Score App: The development of an evidence‐based mobile application to predict the risk of dementia. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2015;1(3):328 View
  67. Boels A, Rutten G, Zuithoff N, de Wit A, Vos R. Effectiveness of diabetes self-management education via a smartphone application in insulin treated type 2 diabetes patients – design of a randomised controlled trial (‘TRIGGER study’). BMC Endocrine Disorders 2018;18(1) View
  68. Stubberud A, Linde M. Digital Technology and Mobile Health in Behavioral Migraine Therapy: a Narrative Review. Current Pain and Headache Reports 2018;22(10) View
  69. Leigh S. Comparing applets and oranges: barriers to evidence-based practice for app-based psychological interventions. Evidence Based Mental Health 2016;19(3):90 View
  70. Grammes J, Küstner E. Diabetestechnologie bei älteren Patienten. Der Diabetologe 2016;12(8):572 View
  71. Celikbas E, Ceylan A, Timur S. Paper-based colorimetric spot test utilizing smartphone sensing for detection of biomarkers. Talanta 2020;208:120446 View
  72. Cottler L, Zunt J, Weiss B, Kamal A, Vaddiparti K. Building global capacity for brain and nervous system disorders research. Nature 2015;527(7578):S207 View
  73. Hood M, Wilson R, Corsica J, Bradley L, Chirinos D, Vivo A. What do we know about mobile applications for diabetes self-management? A review of reviews. Journal of Behavioral Medicine 2016;39(6):981 View
  74. Klimova B, Maresova P, Lee S. Elderly’s Attitude towards the Selected Types of e-Health. Healthcare 2020;8(1):38 View
  75. von Känel R, van Nuffel M, Fuchs W. Risk assessment for job burnout with a mobile health web application using questionnaire data: a proof of concept study. BioPsychoSocial Medicine 2016;10(1) View
  76. Zapata B, Fernández-Alemán J, Idri A, Toval A. Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review. Journal of Medical Systems 2015;39(2) View
  77. Carelli-Alinovi C, Misiti F. Erythrocytes as Potential Link between Diabetes and Alzheimer’s Disease. Frontiers in Aging Neuroscience 2017;9 View
  78. Bright T, Pallawela D. Validated Smartphone-Based Apps for Ear and Hearing Assessments: A Review. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e13 View
  79. Monney G, Penzenstadler L, Dupraz O, Etter J, Khazaal Y. mHealth App for Cannabis Users: Satisfaction and Perceived Usefulness. Frontiers in Psychiatry 2015;6 View
  80. Konstantinidis E, Bamparopoulos G, Bamidis P. Moving Real Exergaming Engines on the Web: The webFitForAll Case Study in an Active and Healthy Ageing Living Lab Environment. IEEE Journal of Biomedical and Health Informatics 2017;21(3):859 View
  81. Potgieter J, Swanepoel D, Myburgh H, Hopper T, Smits C. Development and validation of a smartphone-based digits-in-noise hearing test in South African English. International Journal of Audiology 2016;55(7):405 View
  82. Chu Y, Cheng Y, Lai Y, Tsao Y, Tu T, Young S, Chen T, Chung Y, Lai F, Liao W. A Mobile Phone–Based Approach for Hearing Screening of School-Age Children: Cross-Sectional Validation Study. JMIR mHealth and uHealth 2019;7(4):e12033 View
  83. Choi W, Zheng H, Franklin P, Tulu B. mHealth technologies for osteoarthritis self-management and treatment: A systematic review. Health Informatics Journal 2019;25(3):984 View
  84. Bagheri Lankarani K, Ghoreyshi M, Bakhshayeshkaram M, Honarvar B, Kalateh Sadati A, Tabrizi R, Peymani P, Masoumi S, Mehdizadeh A. Meeting Report on First International Mobile Health Seminar: Shiraz, Iran, 17th and 18th May 2015. Shiraz E-Medical Journal 2015;16(8) View
  85. Taft T, Riehl M, Dowjotas K, Keefer L. Moving beyond perceptions: internalized stigma in the irritable bowel syndrome. Neurogastroenterology & Motility 2014;26(7):1026 View
  86. Hesse G. Smartphone-App-gestützte Ansätze in der Tinnitusbehandlung. HNO 2018;66(5):350 View
  87. Loo Gee B, Griffiths K, Gulliver A. Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: a systematic review. Journal of the American Medical Informatics Association 2016;23(1):221 View
  88. Winslow B, Nguyen N, Venta K. Improved Mental Acuity Forecasting with an Individualized Quantitative Sleep Model. Frontiers in Neurology 2017;8 View
  89. Lee G, Kim J, Kim J, Kim K, Seong J. Online Learning for Classification of Alzheimer Disease based on Cortical Thickness and Hippocampal Shape Analysis. Healthcare Informatics Research 2014;20(1):61 View
  90. Ji D, Liu Z, Liu L, Low S, Lu Y, Yu X, Zhu L, Li C, Liu Q. Smartphone-based integrated voltammetry system for simultaneous detection of ascorbic acid, dopamine, and uric acid with graphene and gold nanoparticles modified screen-printed electrodes. Biosensors and Bioelectronics 2018;119:55 View
  91. Page B, Bowman R, Yang I, Fong K. A survey of lung cancer in rural and remote Aboriginal and Torres Strait Islander communities in Queensland: health views that impact on early diagnosis and treatment. Internal Medicine Journal 2016;46(2):171 View
  92. Toombs E, Kowatch K, Dalicandro L, McConkey S, Hopkins C, Mushquash C. A systematic review of electronic mental health interventions for Indigenous youth: Results and recommendations. Journal of Telemedicine and Telecare 2021;27(9):539 View
  93. Berenbaum F. The social (media) side to rheumatology. Nature Reviews Rheumatology 2014;10(5):314 View
  94. Househ M, Hossain N, Jamal A, Zakaria N, Elmetwally A, Alsalamah M, Khalifa M. A cross-sectional content analysis of Android applications for asthma. Health Informatics Journal 2017;23(2):83 View
  95. Cohen A, Zimmerman F, Prelip M, Glik D. A Smartphone Application to Reduce Time-to-Notification of Sexually Transmitted Infections. American Journal of Public Health 2017;107(11):1795 View
  96. Manganella J, Stiles D, Kawai K, Barrett D, O'Brien L, Kenna M. Validation of a portable hearing assessment tool: Agilis Health Mobile Audiogram. International Journal of Pediatric Otorhinolaryngology 2018;113:94 View
  97. Wang K, Varma D, Prosperi M. A systematic review of the effectiveness of mobile apps for monitoring and management of mental health symptoms or disorders. Journal of Psychiatric Research 2018;107:73 View
  98. 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
  99. Tabi K, Randhawa A, Choi F, Mithani Z, Albers F, Schnieder M, Nikoo M, Vigo D, Jang K, Demlova R, Krausz M. Mobile Apps for Medication Management: Review and Analysis. JMIR mHealth and uHealth 2019;7(9):e13608 View
  100. Lopez E, Costa O, Ferrari D. Development and Technical Validation of the Mobile Based Assistive Listening System: A Smartphone-Based Remote Microphone. American Journal of Audiology 2016;25(3S):288 View
  101. Dawson J, Schmölzer G, Wyllie J. Monitoring heart rate in the delivery room. Seminars in Fetal and Neonatal Medicine 2018;23(5):327 View
  102. García-Magariño I, Plaza I. ABS-MindHeart: An agent based simulator of the influence of mindfulness programs on heart rate variability. Journal of Computational Science 2017;19:11 View
  103. Hernández-Reyes A, Cámara-Martos F, Molina-Luque R, Moreno-Rojas R. Effect of an mHealth Intervention Using a Pedometer App With Full In-Person Counseling on Body Composition of Overweight Adults: Randomized Controlled Weight Loss Trial. JMIR mHealth and uHealth 2020;8(5):e16999 View
  104. Frank E, Pong J, Asher Y, Soares C. Smart phone technologies and ecological momentary data. Current Opinion in Psychiatry 2018;31(1):3 View
  105. Jimenez G, Lum E, Car J. Examining Diabetes Management Apps Recommended From a Google Search: Content Analysis. JMIR mHealth and uHealth 2019;7(1):e11848 View
  106. Kelly L, Jenkinson C, Morley D. Experiences of Using Web-Based and Mobile Technologies to Support Self-Management of Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2018;3(2):e9 View
  107. Sweileh W, Al-Jabi S, AbuTaha A, Zyoud S, Anayah F, Sawalha A. Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016. BMC Medical Informatics and Decision Making 2017;17(1) View
  108. Chae J. A Comprehensive Profile of Those Who Have Health-Related Apps. Health Education & Behavior 2018;45(4):591 View
  109. Yetisen A, Martinez-Hurtado J, da Cruz Vasconcellos F, Simsekler M, Akram M, Lowe C. The regulation of mobile medical applications. Lab on a Chip 2014;14(5):833 View
  110. Arnhold M, Quade M, Kirch W. Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older. Journal of Medical Internet Research 2014;16(4):e104 View
  111. Lee H, Uhm K, Cheong I, Yoo J, Chung S, Park Y, Lee J, Hwang J. Patient Satisfaction with Mobile Health (mHealth) Application for Exercise Intervention in Breast Cancer Survivors. Journal of Medical Systems 2018;42(12) View
  112. Farooqui N, Phillips G, Barrett C, Stukus D. Acceptability of an interactive asthma management mobile health application for children and adolescents. Annals of Allergy, Asthma & Immunology 2015;114(6):527 View
  113. Al Ghamdi E, Yunus F, Da’ar O, El-Metwally A, Khalifa M, Aldossari B, Househ M. The Effect of Screen Size on Mobile Phone User Comprehension of Health Information and Application Structure: An Experimental Approach. Journal of Medical Systems 2016;40(1) View
  114. Jougleux J, Rioux F, Church M, Fiset S, Jacques H, Surette M. Dietary LC-PUFA in iron-deficient anaemic pregnant and lactating guinea pigs induce minor defects in the offsprings' auditory brainstem responses. Nutritional Neuroscience 2016;19(10):447 View
  115. Castelnuovo G, Manzoni G, Pietrabissa G, Corti S, Giusti E, Molinari E, Simpson S. Obesity and outpatient rehabilitation using mobile technologies: the potential mHealth approach. Frontiers in Psychology 2014;5 View
  116. Alam M, Hu W, Hoque M, Kaium M. Adoption intention and usage behavior of mHealth services in Bangladesh and China. International Journal of Pharmaceutical and Healthcare Marketing 2020;14(1):37 View
  117. Chapman C, Champion K, Birrell L, Deen H, Brierley M, Stapinski L, Kay-Lambkin F, Newton N, Teesson M. Smartphone Apps About Crystal Methamphetamine (“Ice”): Systematic Search in App Stores and Assessment of Composition and Quality. JMIR mHealth and uHealth 2018;6(11):e10442 View
  118. Fleming G, Petrie J, Bergenstal R, Holl R, Peters A, Heinemann L. Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care 2020;43(1):250 View
  119. Nadeau D. Management of Type 2 Diabetes Mellitus in Self-Motivated Patients: Optimized Diet, Exercise, and Medication for Weight Loss and Cardiometabolic Fitness. The Physician and Sportsmedicine 2014;42(4):49 View
  120. Luo D, Wang P, Lu F, Elias J, Sparks J, Lee Y. Mobile Apps for Individuals With Rheumatoid Arthritis. JCR: Journal of Clinical Rheumatology 2019;25(3):133 View
  121. Gaziel-Yablowitz M, Schwartz D. A Review and Assessment Framework for Mobile-Based Emergency Intervention Apps. ACM Computing Surveys 2019;51(1):1 View
  122. Stukus D, Farooqui N, Strothman K, Ryan K, Zhao S, Stevens J, Cohen D. Real-world evaluation of a mobile health application in children with asthma. Annals of Allergy, Asthma & Immunology 2018;120(4):395 View
  123. Iglesias-Posadilla D, Gómez-Marcos V, Hernández-Tejedor A. Apps and intensive care medicine. Medicina Intensiva (English Edition) 2017;41(4):227 View
  124. Xu Z, Chen Z, Nie H. Handheld Computers: Smartphone-Centric Wireless Applications. IEEE Microwave Magazine 2014;15(2):36 View
  125. Lecomte T, Potvin S, Corbière M, Guay S, Samson C, Cloutier B, Francoeur A, Pennou A, Khazaal Y. Mobile Apps for Mental Health Issues: Meta-Review of Meta-Analyses. JMIR mHealth and uHealth 2020;8(5):e17458 View
  126. Leigh S, Flatt S. App-based psychological interventions: friend or foe?: Table 1. Evidence Based Mental Health 2015;18(4):97 View
  127. Göbel H, Frank B, Heinze A, Zimmermann W, Göbel C, Göbel A, Brunkhorst J, Rupp K. Gesundheitsverhalten von Migräne- und Kopfschmerzpatienten bei digitaler Therapiebegleitung mit der Migräne-App. Der Schmerz 2019;33(2):147 View
  128. Hansen W, Scheier L. Specialized Smartphone Intervention Apps: Review of 2014 to 2018 NIH Funded Grants. JMIR mHealth and uHealth 2019;7(7):e14655 View
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  246. Haßdenteufel K, Lingenfelder K, Schwarze C, Feisst M, Brusniak K, Matthies L, Goetz M, Wallwiener M, Wallwiener S. Evaluation of Repeated Web-Based Screening for Predicting Postpartum Depression: Prospective Cohort Study. JMIR Mental Health 2021;8(12):e26665 View
  247. Mendo I, Marques G, de la Torre Díez I, López-Coronado M, Martín-Rodríguez F. Machine Learning in Medical Emergencies: a Systematic Review and Analysis. Journal of Medical Systems 2021;45(10) View
  248. Jiang N, Wang L, Xu X, Gao Y. Research on Smart Healthcare Services: Based on the Design of APP Health Service Platform. Journal of Healthcare Engineering 2021;2021:1 View
  249. Hertling S, Matziolis G, Graul I. Die Rolle des Internets als medizinische Informationsquelle für orthopädische Patienten. Die Orthopädie 2022;51(7):521 View
  250. Alrizq M, Ali Solangi S, Alghamdi A, Ali Nizamani M, Ali Memon M, Hamdi M. An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles. Computer Systems Science and Engineering 2022;40(2):557 View
  251. Kasetsuwan N, Suwan-Apichon O, Lekhanont K, Chuckpaiwong V, Reinprayoon U, Chantra S, Puangsricharern V, Pariyakanok L, Prabhasawat P, Tesavibul N, Chaidaroon W, Tananuvat N, Hirunpat C, Prakairungthong N, Sansanayudh W, Chirapapaisan C, Phrueksaudomchai P. Assessing the Risk Factors For Diagnosed Symptomatic Dry Eye Using a Smartphone App: Cross-sectional Study. JMIR mHealth and uHealth 2022;10(6):e31011 View
  252. Ahn D. Benefits and risks of apps for patients. Current Opinion in Endocrinology, Diabetes & Obesity 2022;29(1):17 View
  253. Allgaier J, Schlee W, Probst T, Pryss R. Prediction of Tinnitus Perception Based on Daily Life MHealth Data Using Country Origin and Season. Journal of Clinical Medicine 2022;11(15):4270 View
  254. van Elburg F, Klaver N, Nieboer A, Askari M. Gender differences regarding intention to use mHealth applications in the Dutch elderly population: a cross-sectional study. BMC Geriatrics 2022;22(1) View
  255. Penzenstadler L, Chatton A, Van Singer M, Khazaal Y. Quality of Smartphone Apps Related to Alcohol Use Disorder. European Addiction Research 2016;22(6):329 View
  256. Hertling S, Hertling D, Schleußner E, Loos F, Graul I. E-health – The importance of the internet as an informative digital health application for gynecological patients in times of SARs-CoV2: A national cross-sectional survey. Informatics in Medicine Unlocked 2022;30:100942 View
  257. Wang Y, Xue H, Huang Y, Huang L, Zhang D. A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management. Advances in Nutrition 2017;8(3):449 View
  258. Melo I, Silva A, Camargo R, Cavalcanti H, Ferrari D, Taveira K, Balen S. Accuracy of smartphone-based hearing screening tests: a systematic review. CoDAS 2022;34(3) View
  259. Herbert K, Brennan J. Use of Mobile Apps & Stepped-Care Model for Treating Depression in Primary Care. Primary Care: Clinics in Office Practice 2023;50(1):11 View
  260. Krmpotic K, Gallant J, Zufelt K, Zuijdwijk C. User-centred development of an mHealth app for youth with type 1 diabetes: the challenge of operationalizing desired features and feasibility of offering financial incentives. Health and Technology 2022;12(2):499 View
  261. Freund J, Ebert D, Thielecke J, Braun L, Baumeister H, Berking M, Titzler I. Using the Consolidated Framework for Implementation Research to evaluate a nationwide depression prevention project (ImplementIT) from the perspective of health care workers and implementers: Results on the implementation of digital interventions for farmers. Frontiers in Digital Health 2023;4 View
  262. Woldeamanuel Y, Cowan R. Computerized migraine diagnostic tools: a systematic review. Therapeutic Advances in Chronic Disease 2022;13:204062232110652 View
  263. Lu H, Lin W, Raphael C, Wen M. A study investigating user adoptive behavior and the continuance intention to use mobile health applications during the COVID-19 pandemic era: Evidence from the telemedicine applications utilized in Indonesia. Asia Pacific Management Review 2023;28(1):52 View
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  265. Zhang M, Wolters M, O'Connor S, Wang Y, Doi L. Smokers’ user experience of smoking cessation apps: A systematic review. International Journal of Medical Informatics 2023;175:105069 View
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Books/Policy Documents

  1. Vashist S, Luong J. Wearable Technology in Medicine and Health Care. View
  2. . M‐Health: Fundamentals and Applications. View
  3. Song M, Tabi K, Krausz M. Innovations in Global Mental Health. View
  4. Wright K. The Handbook of Applied Communication Research. View
  5. Oyebode O, Ndulue C, Alhasani M, Orji R. Persuasive Technology. Designing for Future Change. View
  6. Smith A, Taylor M, Fatehi F, Caffery L. Revolutionizing Tropical Medicine. View
  7. Addepally S, Purkayastha S. Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety. View
  8. Peláez M, López-Medina M, Espinilla M, Medina-Quero J. Bioinformatics and Biomedical Engineering. View
  9. Chiou W, Lai S, Huang D. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Healthcare Applications. View
  10. Gebru A, Basila C. Encyclopedia of Mobile Phone Behavior. View
  11. Castelnuovo G, Pietrabissa G, Manzoni G, Corti S, Novelli M, Borrello M, Giusti E, Borgia F, Molinari E, Middleton N, Cattivelli R, Simpson S. Transformative Healthcare Practice through Patient Engagement. View
  12. Ye Q, Boren S, Khan U, Kim M. Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety. View
  13. Cunningham B, Bolley B. Orthopaedic Trauma in the Austere Environment. View
  14. Richter J, Kampling C, Schneider M. Patient Reported Outcome Measures in Rheumatic Diseases. View
  15. Katheeri H. Advances in Human Factors and Ergonomics in Healthcare and Medical Devices. View
  16. Peyton T, Wisniewski P. Advances in Information and Communication. View
  17. Tripoliti E, Karanasiou G, Kalatzis F, Naka K, Fotiadis D. Heart Failure: From Research to Clinical Practice. View
  18. Jacoby J. HCI International 2019 - Posters. View
  19. Meawad F, Yang S, Loy F, Chang E, Isryad M. User Science and Engineering. View
  20. Sezgin E, Yildirim S, Yildirim S. Current and Emerging mHealth Technologies. View
  21. Vashist S, Luong J. Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management. View
  22. Gutierrez M, Moreno R, Rebelo M. Global Health Informatics. View
  23. Owusu E, Chakraborty J. Intelligent Human Systems Integration 2019. View
  24. Khazaal Y. Traité de Réhabilitation Psychosociale. View
  25. Lindhiem O, Harris J. Technology and Adolescent Mental Health. View
  26. Molina-Recio G, García-Hernández L, Castilla-Melero A, Palomo-Romero J, Molina-Luque R, Sánchez-Muñoz A, Arauzo-Azofra A, Salas-Morera L. Bioinformatics and Biomedical Engineering. View
  27. Castelnuovo G, Pietrabissa G, Manzoni G, Corti S, Novelli M, Borrello M, Giusti E, Borgia F, Molinari E, Middleton N, Cattivelli R, Simpson S. Health Care Delivery and Clinical Science. View
  28. Rossmann C, Krömer N. eHealth in Deutschland. View
  29. Chiou W, Kao C, Lo L, Huang D, Wang M, Chen B. Design, User Experience, and Usability: Designing Pleasurable Experiences. View
  30. Pedrelli P, Bentley K, Howe E, Shapero B. The Massachusetts General Hospital Guide to Depression. View
  31. Briz-Ponce L, Juanes-Méndez J, García-Peñalvo F. Global Implications of Emerging Technology Trends. View
  32. Paglialonga A, Pinciroli F, Tognola G. Tele-Audiology and the Optimization of Hearing Healthcare Delivery. View
  33. Abdrabo D, Gaber T, Wahied M. The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt. View
  34. Van Stee S, Yang Q. Technology and Health. View
  35. Zhang M, Ho R. The Digitization of Healthcare. View
  36. Cui Y, Balshaw D. Unraveling the Exposome. View
  37. Gunser V, Dischinger E, Fischer N, Pons P, Rösser J, Wagner-Hartl V. HCI International 2020 - Posters. View
  38. Sinha N. IoT in Healthcare and Ambient Assisted Living. View
  39. Şenel G, Slater M. Virtual Reality and Augmented Reality. View
  40. Choe E, Klasnja P, Pratt W. Biomedical Informatics. View
  41. Hsu S, Chen H, Liu C, Huang D, Lo L, Hong T, Chiou W. Cross-Cultural Design. Applications in Arts, Learning, Well-being, and Social Development. View
  42. Or C, Holden R, Valdez R. Human-Automation Interaction. View
  43. Kumar S, Prajapati M, Rathore N, Anand S. Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities. View
  44. Ji D, Low S, Zhang D, Liu L, Lu Y, Liu Q. Biomedical Engineering Technologies. View
  45. Joshi P, Bhardwaj S, Patel A, Priyanka . Emerging Technologies in Data Mining and Information Security. View
  46. Mandal A, Poudel M, Neupane N, Verma A. Edible Plants in Health and Diseases. View
  47. Stefaniak J. Instructional Design Exemplars in eHealth and mHealth Education Interventions. View
  48. Panattil S, George A, Joy M. Handbook of Research on Cross-Disciplinary Uses of Gamification in Organizations. View
  49. Song M, Tabi K, Krausz M. Innovations in Global Mental Health. View
  50. Su T, Kao J. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases. View
  51. Petrovic M, Cristofolini F, Landoni M, Ionio C, Gaggioli A. mHealth and Human-Centered Design Towards Enhanced Health, Care, and Well-being. View