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Citing this Article

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Published on 19.04.16 in Vol 4, No 2 (2016): Apr-Jun

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4928):

(note that this is only a small subset of citations)

  1. Welbie M, Wittink H, Bozkurt S, Coban T, Devillé WL. 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
    CrossRef
  2. 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
    CrossRef
  3. Schueller SM, Hunter JF, Figueroa C, Aguilera A. Use of Digital Mental Health for Marginalized and Underserved Populations. Current Treatment Options in Psychiatry 2019;6(3):243
    CrossRef
  4. 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
    CrossRef
  5. Lim J, Lim C, Ibrahim I, Syahrul J, Mohamed Zabil MH, Zakaria NF, Daud ZAM. Limitations of Existing Dialysis Diet Apps in Promoting User Engagement and Patient Self-Management: A Content Analysis of mHealth Apps. (Preprint). JMIR mHealth and uHealth 2019;
    CrossRef
  6. Graetz I, Huang J, Brand R, Hsu J, Reed ME. 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
    CrossRef
  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
    CrossRef
  8. Hsiao J, Chen R. Understanding Determinants of Health Care Professionals’ Perspectives on Mobile Health Continuance and Performance. JMIR Medical Informatics 2019;7(1):e12350
    CrossRef
  9. Welbie M, Wittink H, Westerman MJ, Topper I, Snoei J, Devillé WLJM. A Mobile Patient-Reported Outcome Measure App With Talking Touchscreen: Usability Assessment. JMIR Formative Research 2019;3(3):e11617
    CrossRef
  10. 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
    CrossRef
  11. Godfrey A, Stuart S, Tenaerts P. Tech world and medicine come together to harness digital medicine. Maturitas 2019;127:95
    CrossRef
  12. Nouri SS, Avila-Garcia P, Cemballi AG, Sarkar U, Aguilera A, Lyles CR. 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
    CrossRef
  13. Baek H, Suh J, Kang S, Kang S, Lim TH, 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
    CrossRef
  14. Donevant SB, Estrada RD, Culley JM, Habing B, Adams SA. 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
    CrossRef
  15. 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
    CrossRef
  16. Fiks AG, Fleisher L, Berrigan L, Sykes E, Mayne SL, Gruver R, Halkyard K, Jew OS, 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
    CrossRef
  17. König LM, Sproesser G, Schupp HT, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55
    CrossRef
  18. Negrillo-Cárdenas J, Rueda-Ruiz AJ, Ogayar-Anguita CJ, Lomas-Vega R, Segura-Sánchez RJ. A System for the Measurement of the Subjective Visual Vertical using a Virtual Reality Device. Journal of Medical Systems 2018;42(7)
    CrossRef
  19. 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
    CrossRef
  20. Torous J, Firth J, Huckvale K, Larsen ME, Cosco TD, 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. The Journal of Nervous and Mental Disease 2018;206(8):662
    CrossRef
  21. Rodriguez JA, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719
    CrossRef
  22. Featherall J, Lapin B, Chaitoff A, Havele SA, 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
    CrossRef
  23. Magee JC, 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
    CrossRef
  24. Rahman QA, Janmohamed T, Pirbaglou M, Clarke H, Ritvo P, Heffernan JM, 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
    CrossRef
  25. Osborn CY, van Ginkel JR, Marrero DG, 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
    CrossRef
  26. Nguyen KT, Olgin JE, Pletcher MJ, Ng M, Kaye L, Moturu S, Gladstone RA, Malladi C, Fann AH, Maguire C, Bettencourt L, Christensen MA, Marcus GM. Smartphone-Based Geofencing to Ascertain Hospitalizations. Circulation: Cardiovascular Quality and Outcomes 2017;10(3)
    CrossRef
  27. 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
    CrossRef
  28. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;
    CrossRef
  29. 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
    CrossRef
  30. Osborn CY, van Ginkel JR, Rodbard D, Heyman M, Marrero DG, Huddleston B, Dachis J. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement. JMIR Diabetes 2017;2(2):e21
    CrossRef
  31. Rahman QA, Janmohamed T, Pirbaglou M, Ritvo P, Heffernan JM, 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
    CrossRef
  32. 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
    CrossRef
  33. Nehra AK, Gettman MT, Rivera ME, Agarwal DK, O’Neil DA, Jenkins SM, Tollefson MK, Viers BR. A Survey of Perceptions and Acceptance of Wearable Technology for Health Monitoring in a Urological Patient Population. Urology Practice 2017;4(6):508
    CrossRef
  34. Cohen DJ, Keller SR, Hayes GR, Dorr DA, Ash JS, Sittig DF. 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
    CrossRef
  35. Ghosh A, Misra A. Pokémon Go, Obesity and Diabetes: A Perspective from India. Diabetes Technology & Therapeutics 2016;18(11):725
    CrossRef
  36. Yazdanshenas H, Bazargan M, Jones L, Vawer M, Seto TB, Farooq S, Taira DA. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4928)

:
  1. Saheb T, Mehrizi EA. Industrial Engineering in the Big Data Era. 2019. Chapter 35:429
    CrossRef
  2. Ariani A, Koesoema AP, Soegijoko S. Innovative Healthcare Systems for the 21st Century. 2017. Chapter 2:15
    CrossRef