Published on in Vol 4, No 2 (2016): Apr-Jun

Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics

Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics

Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics

Journals

  1. Wu E, Torous J, Liu C. Chinese immigrant use of smartphone apps toward improving child mental health awareness and resource delivery: A pilot study. Asian Journal of Psychiatry 2018;33:1 View
  2. Torous J, Firth J, Huckvale K, Larsen M, Cosco T, Carney R, Chan S, Pratap A, Yellowlees P, Wykes T, Keshavan M, Christensen H. The Emerging Imperative for a Consensus Approach Toward the Rating and Clinical Recommendation of Mental Health Apps. Journal of Nervous & Mental Disease 2018;206(8):662 View
  3. Lim J, Lim C, Ibrahim I, Syahrul J, Mohamed Zabil M, Zakaria N, Daud Z. Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: Quantitative Content Analysis Study. JMIR mHealth and uHealth 2020;8(6):e13808 View
  4. Theile G, Klaas V, Tröster G, Guckenberger M. mHealth Technologies for Palliative Care Patients at the Interface of In-Patient to Outpatient Care: Protocol of Feasibility Study Aiming to Early Predict Deterioration of Patient’s Health Status. JMIR Research Protocols 2017;6(8):e142 View
  5. Welbie M, Wittink H, Bozkurt S, Coban T, Devillé W. Usability of the Turkish Translation of the Dutch Talking Touch Screen Questionnaire for Physical Therapy Patients With a Turkish Background: Qualitative Study. JMIR Formative Research 2020;4(2):e14189 View
  6. Featherall J, Lapin B, Chaitoff A, Havele S, Thompson N, Katzan I. Characterization of Patient Interest in Provider-Based Consumer Health Information Technology: Survey Study. Journal of Medical Internet Research 2018;20(4):e128 View
  7. Aghazadeh H, Crump T, Tennant M, Weis E. Use of mobile health (mHealth) technologies in ophthalmology patients in Alberta. Canadian Journal of Ophthalmology 2019;54(2):164 View
  8. Osborn C, van Ginkel J, Rodbard D, Heyman M, Marrero D, Huddleston B, Dachis J. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes 2017;2(2):e21 View
  9. Chen J, Lieffers J, Bauman A, Hanning R, Allman‐Farinelli M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. Journal of Human Nutrition and Dietetics 2017;30(4):439 View
  10. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87 View
  11. Godfrey A, Stuart S, Tenaerts P. Tech world and medicine come together to harness digital medicine. Maturitas 2019;127:95 View
  12. Nouri S, Avila-Garcia P, Cemballi A, Sarkar U, Aguilera A, Lyles C. Assessing Mobile Phone Digital Literacy and Engagement in User-Centered Design in a Diverse, Safety-Net Population: Mixed Methods Study. JMIR mHealth and uHealth 2019;7(8):e14250 View
  13. Cohen D, Keller S, Hayes G, Dorr D, Ash J, Sittig D. Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign. JMIR Human Factors 2016;3(2):e26 View
  14. Osborn C, van Ginkel J, Marrero D, Rodbard D, Huddleston B, Dachis J. One Drop | Mobile on iPhone and Apple Watch: An Evaluation of HbA1c Improvement Associated With Tracking Self-Care. JMIR mHealth and uHealth 2017;5(11):e179 View
  15. Kang S, Baek H, Jung E, Hwang H, Yoo S. Survey on the demand for adoption of Internet of Things (IoT)-based services in hospitals: Investigation of nurses' perception in a tertiary university hospital. Applied Nursing Research 2019;47:18 View
  16. Rodriguez J, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719 View
  17. Rahman Q, Janmohamed T, Pirbaglou M, Clarke H, Ritvo P, Heffernan J, Katz J. Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods. Journal of Medical Internet Research 2018;20(11):e12001 View
  18. Rahman Q, Janmohamed T, Pirbaglou M, Ritvo P, Heffernan J, Clarke H, Katz J. Patterns of User Engagement With the Mobile App, Manage My Pain: Results of a Data Mining Investigation. JMIR mHealth and uHealth 2017;5(7):e96 View
  19. Magee J, Adut S, Brazill K, Warnick S. Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care. Current Treatment Options in Psychiatry 2018;5(3):345 View
  20. Vu M, Nguyen V, Vishwanath S, Wolfe C, Patel S. Know Your Numbers: Creation and implementation of a novel community health mobile application (app) by student pharmacists. Journal of the American Pharmacists Association 2018;58(2):191 View
  21. Claudel S, Ceasar J, Andrews M, El-Toukhy S, Farmer N, Middleton K, Sabado-Liwag M, Mitchell V, Tamura K, Brooks A, Wallen G, Powell-Wiley T. Time to listen: a mixed-method study examining community-based views of mobile technology for interventions to promote physical activity. BMJ Health & Care Informatics 2020;27(3):e100140 View
  22. Ceasar J, Peters-Lawrence M, Mitchell V, Powell-Wiley T. The Communication, Awareness, Relationships and Empowerment (C.A.R.E.) Model: An Effective Tool for Engaging Urban Communities in Community-Based Participatory Research. International Journal of Environmental Research and Public Health 2017;14(11):1422 View
  23. Negrillo-Cárdenas J, Rueda-Ruiz A, Ogayar-Anguita C, Lomas-Vega R, Segura-Sánchez R. A System for the Measurement of the Subjective Visual Vertical using a Virtual Reality Device. Journal of Medical Systems 2018;42(7) View
  24. Graetz I, Huang J, Brand R, Hsu J, Reed M. Mobile-accessible personal health records increase the frequency and timeliness of PHR use for patients with diabetes. Journal of the American Medical Informatics Association 2019;26(1):50 View
  25. Welbie M, Wittink H, Westerman M, Topper I, Snoei J, Devillé W. A Mobile Patient-Reported Outcome Measure App With Talking Touchscreen: Usability Assessment. JMIR Formative Research 2019;3(3):e11617 View
  26. Alwashmi M, Fitzpatrick B, Farrell J, Gamble J, Davis E, Nguyen H, Farrell G, Hawboldt J. Perceptions of Patients Regarding Mobile Health Interventions for the Management of Chronic Obstructive Pulmonary Disease: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e17409 View
  27. Fiske A, Prainsack B, Buyx A. Data Work: Meaning-Making in the Era of Data-Rich Medicine. Journal of Medical Internet Research 2019;21(7):e11672 View
  28. 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
  29. 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
  30. Nehra A, Gettman M, Rivera M, Agarwal D, O’Neil D, Jenkins S, Tollefson M, Viers B. A Survey of Perceptions and Acceptance of Wearable Technology for Health Monitoring in a Urological Patient Population. Urology Practice 2017;4(6):508 View
  31. Godfrey A, Goldsack J, Tenaerts P, Coravos A, Aranda C, Hussain A, Barreto M, Young F, Vitorio R. BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework. IEEE Journal of Translational Engineering in Health and Medicine 2020;8:1 View
  32. Karimi N, Crawford D, Opie R, Maddison R, O’Connell S, Hamblin P, Ng A, Steele C, Rasmussen B, Ball K. EatSmart, a Web-Based and Mobile Healthy Eating Intervention for Disadvantaged People With Type 2 Diabetes: Protocol for a Pilot Mixed Methods Intervention Study. JMIR Research Protocols 2020;9(11):e19488 View
  33. Ghosh A, Misra A. Pokémon Go, Obesity and Diabetes: A Perspective from India. Diabetes Technology & Therapeutics 2016;18(11):725 View
  34. Baek H, Suh J, Kang S, Kang S, Lim T, Hwang H, Yoo S. Enhancing User Experience Through User Study: Design of an mHealth Tool for Self-Management and Care Engagement of Cardiovascular Disease Patients. JMIR Cardio 2018;2(1):e3 View
  35. Nwagwu W, Areo H. Use of mobile technologies for care of internal medicine clients in Nigeria’s premier teaching hospital. Global Knowledge, Memory and Communication 2020;69(8/9):613 View
  36. Yazdanshenas H, Bazargan M, Jones L, Vawer M, Seto T, Farooq S, Taira D. Engaging Gatekeeper-Stakeholders in Development of a Mobile Health Intervention to Improve Medication Adherence Among African American and Pacific Islander Elderly Patients With Hypertension. JMIR mHealth and uHealth 2016;4(4):e116 View
  37. Fiks A, Fleisher L, Berrigan L, Sykes E, Mayne S, Gruver R, Halkyard K, Jew O, FitzGerald P, Winston F, McMahon P. Usability, Acceptability, and Impact of a Pediatric Teledermatology Mobile Health Application. Telemedicine and e-Health 2018;24(3):236 View
  38. Hsiao J, Chen R. Understanding Determinants of Health Care Professionals’ Perspectives on Mobile Health Continuance and Performance. JMIR Medical Informatics 2019;7(1):e12350 View
  39. Tian L, Zhang K, Wang X, Jiang K, Gao W, Liang N, Wang X, Miao Y, Lu Z. Utilization of Mobile Application for Better Implementation of Good Clinical Practice in a Biorepository Sample Collection Process: Functions of PancMoBio in Biobanking. Biopreservation and Biobanking 2020;18(2):46 View
  40. 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
  41. Schueller S, Hunter J, Figueroa C, Aguilera A. Use of Digital Mental Health for Marginalized and Underserved Populations. Current Treatment Options in Psychiatry 2019;6(3):243 View
  42. Alanzi T. A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak. Journal of Multidisciplinary Healthcare 2021;Volume 14:45 View
  43. Nabovati E, Farzandipour M, Heidarzadeh Arani M, Akbari H, Sharif R, Anvari S. The use of mobile phone functionalities by patients with asthma and their desire to use for self-care purposes. BMC Medical Informatics and Decision Making 2020;20(1) View
  44. Muñoz A, Camacho E, Torous J. Marketplace and Literature Review of Spanish Language Mental Health Apps. Frontiers in Digital Health 2021;3 View
  45. Hussein W, Bennett P, Pace S, Chen S, Legg V, Atwal J, Sun S, Schiller B. The Mobile Health Readiness of People Receiving In-Center Hemodialysis and Home Dialysis. Clinical Journal of the American Society of Nephrology 2021;16(1):98 View
  46. Johnston S, Hogg W, Wong S, Burge F, Peterson S. Differences in Mode Preferences, Response Rates, and Mode Effect Between Automated Email and Phone Survey Systems for Patients of Primary Care Practices: Cross-Sectional Study. Journal of Medical Internet Research 2021;23(1):e21240 View
  47. Nkoy F, Stone B, Hofmann M, Fassl B, Zhu A, Mahtta N, Murphy N. Home-Monitoring Application for Children With Medical Complexity: A Feasibility Trial. Hospital Pediatrics 2021;11(5):492 View
  48. Imeri H, Desselle S, Hetemi D, Hoti K. Mobile Electronic Devices as Means of Facilitating Patient Activation and Health Professional Empowerment Related to Information Seeking on Chronic Conditions and Medications: Qualitative Study. JMIR mHealth and uHealth 2021;9(8):e26300 View
  49. Reeves P, Royall M, Spencer S, Rogers P, Durning S, Samuel A, O’Meara K, Gorman G. Design and Assessment of a Mobile Health Care Solution for the Military Pediatrician: The DHA Pediatrics App. Military Medicine 2022;187(1-2):232 View
  50. Khoong E, Olazo K, Rivadeneira N, Thatipelli S, Barr-Walker J, Fontil V, Lyles C, Sarkar U. Mobile health strategies for blood pressure self-management in urban populations with digital barriers: systematic review and meta-analyses. npj Digital Medicine 2021;4(1) View
  51. KC B, Alrasheedy A, Goh B, Blebil A, Bangash N, Mohamed Ibrahim M, Rehman I. The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia. Patient Preference and Adherence 2021;Volume 15:1755 View
  52. Sun X, Zhou W, Feng Y. Mobile healthcare platforms' sustainability: The perspective of health information quality. Frontiers in Public Health 2023;10 View
  53. Shroff A, Roulston C, Fassler J, Dierschke N, Todd J, Ríos-Herrera Á, Plastino K, Schleider J. A Digital Single-Session Intervention Platform for Youth Mental Health: Cultural Adaptation, Evaluation, and Dissemination. JMIR Mental Health 2023;10:e43062 View
  54. Van Baelen F, De Regge M, Larivière B, Verleye K, Schelfout S, Eeckloo K. Role of Social and App-Related Factors in Behavioral Engagement With mHealth for Improved Well-being Among Chronically Ill Patients: Scenario-Based Survey Study. JMIR mHealth and uHealth 2022;10(8):e33772 View
  55. Ndabu T, Agrawal L, Sharman R. The Role of Access Type and Age Group in the Breadth of Use of Patient Portals: Observational Study. Journal of Medical Internet Research 2022;24(12):e41972 View
  56. Drake A, Sassoon I, Balatsoukas P, Porat T, Ashworth M, Wright E, Curcin V, Chapman M, Kokciyan N, Modgil S, Sklar E, Parsons S. The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors. Health Informatics Journal 2022;28(2) View
  57. Matos D, Torres M, da Silva L, dos Santos C, de Oliveira F, de Araújo M, de Oliveira Serra M. Hansenapp: Development of a mobile application to assist primary healthcare providers to control leprosy. Tropical Medicine & International Health 2022;27(8):719 View
  58. YILDIRIM B. Dijital Hastane Modelinin Gerçekleşmesi Bağlamında Mobil Cihazların Sağlık Turizmi Alanındaki Rolü. Health Care Academician Journal 2022 View
  59. Omoloja A, Vundavalli S. Patient generated health data: Benefits and challenges. Current Problems in Pediatric and Adolescent Health Care 2021;51(11):101103 View
  60. Sharma S, Gergen Barnett K, Maypole J, Grochow Mishuris R. Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study. JMIR Formative Research 2022;6(2):e29922 View
  61. Figueroa C, Murayama H, Amorim P, White A, Quiterio A, Luo T, Aguilera A, Smith A, Lyles C, Robinson V, von Vacano C. Applying the Digital Health Social Justice Guide. Frontiers in Digital Health 2022;4 View
  62. Hogan T, Etingen B, Lipschitz J, Shimada S, McMahon N, Bolivar D, Bixler F, Irvin D, Wacks R, Cutrona S, Frisbee K, Smith B. Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey. JMIR mHealth and uHealth 2022;10(12):e41767 View
  63. Mensah I. Understanding the Drivers of Ghanaian Citizens' Adoption Intentions of Mobile Health Services. Frontiers in Public Health 2022;10 View
  64. Agachi E, Bijmolt T, Mierau J, van Ittersum K. Adoption of the Website and Mobile App of a Preventive Health Program Across Neighborhoods With Different Socioeconomic Conditions in the Netherlands: Longitudinal Study. JMIR Human Factors 2022;9(1):e32112 View
  65. Wang S, Lee H, Choi W. A feature-oriented analysis of developers’ descriptions and user reviews of top mHealth applications for diabetes and hypertension. International Journal of Medical Informatics 2021;156:104598 View
  66. Fan Y, Wang Z, Deng S, Lv H, Wang F. The function and quality of individual epidemic prevention and control apps during the COVID-19 pandemic: A systematic review of Chinese apps. International Journal of Medical Informatics 2022;160:104694 View
  67. Haro-Ramos A, Rodriguez H, Aguilera A. Effectiveness and implementation of a text messaging intervention to reduce depression and anxiety symptoms among Latinx and Non-Latinx white users during the COVID-19 pandemic. Behaviour Research and Therapy 2023;165:104318 View
  68. Patel K, Corbett C, Combs E, Donevant S, Selph M, Gibson L, Dawson R, Sheth A, Hughes R. Perceptions of COVID-19 and the Use of Health Information Technology Among People Who Are Uninsured: Multimethod Survey Study. JMIR Formative Research 2023;7:e45349 View
  69. Gerbutavicius R, Merle D, Wolf A, Dimopoulos S, Kortuem K, Kortuem F. User Friendliness and Perioperative Guidance Benefits of a Cataract Surgery Education App: Randomized Controlled Trial. JMIR Formative Research 2024;8:e55742 View
  70. Chowdhary K, Crockett Z, Chua J, Soo Hoo J. Exploring the Relationship between Running-Related Technology Use and Running-Related Injuries: A Cross-Sectional Study of Recreational and Elite Long-Distance Runners. Healthcare 2024;12(6):642 View
  71. Dinesh D, Rao M, Sinha C. Language adaptations of mental health interventions: User interaction comparisons with an AI-enabled conversational agent (Wysa) in English and Spanish. DIGITAL HEALTH 2024;10 View
  72. He Y, Chen H, Xiang P, Zhao M, Li Y, Liu Y, Wang T, Liang J, Lei J. Establishing an Evaluation Indicator System for User Satisfaction With Hypertension Management Apps: Combining User-Generated Content and Analytic Hierarchy Process. Journal of Medical Internet Research 2024;26:e60773 View
  73. German J, Yang Q, Hatch D, Lewinski A, Bosworth H, Kaufman B, Chatterjee R, Pennington G, Matters D, Lee D, Urlichich D, Kokosa S, Canupp H, Gregory P, Roberson C, Smith B, Huber S, Doukellis K, Deal T, Burns R, Crowley M, Shaw R. EXpanding Technology-Enabled, Nurse-Delivered Chronic Disease Care (EXTEND): Protocol and Baseline Data for a Randomized Trial. Contemporary Clinical Trials 2024;146:107673 View
  74. Adepoju O, Dang P, Nguyen H, Mertz J. Equity in Digital Health: Assessing Access and Utilization of Remote Patient Monitoring, Medical Apps, and Wearables in Underserved Communities. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2024;61 View

Books/Policy Documents

  1. Saheb T, Mehrizi E. Industrial Engineering in the Big Data Era. View
  2. Ariani A, Koesoema A, Soegijoko S. Innovative Healthcare Systems for the 21st Century. View