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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"

Veronica Ramirez, Emily Johnson, Cesar Gonzalez, Vanessa Ramirez, Barbara Rubino, Gina Rossetti

JMIR Mhealth Uhealth 2016 (Apr 19); 4(2):e41 

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)

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  3. 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: Quantitative Content Analysis Study. JMIR mHealth and uHealth 2020;8(6):e13808
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  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
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  5. 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
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  8. 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
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  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
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  10. Torous J, Rodriguez J, Powell A. The New Digital Divide For Digital Biomarkers. Digital Biomarkers 2017;1(1):87
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  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
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  13. 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
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  14. 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
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  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
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  16. Rodriguez JA, Singh K. The Spanish Availability and Readability of Diabetes Apps. Journal of Diabetes Science and Technology 2018;12(3):719
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  17. 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
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  18. 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
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  19. 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
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  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
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  21. Claudel SE, Ceasar JN, Andrews MR, El-Toukhy S, Farmer N, Middleton KR, Sabado-Liwag M, Mitchell VM, Tamura K, Brooks AT, Wallen GR, Powell-Wiley TM. 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
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  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
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  23. 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)
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  24. 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
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  25. 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
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  26. Alwashmi MF, Fitzpatrick B, Farrell J, Gamble J, Davis E, Nguyen HV, 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
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  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
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  28. 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)
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  29. 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
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  30. 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
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  31. Godfrey A, Goldsack JC, Tenaerts P, Coravos A, Aranda C, Hussain A, Barreto ME, 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
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  32. Karimi N, Crawford D, Opie R, Maddison R, O’Connell S, Hamblin PS, Ng AH, 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
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  33. Ghosh A, Misra A. Pokémon Go, Obesity and Diabetes: A Perspective from India. Diabetes Technology & Therapeutics 2016;18(11):725
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  34. 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
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  35. Nwagwu WE, Areo HA. 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
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  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
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  37. 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
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  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
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  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
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  40. 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
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  41. 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
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  42. . 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
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  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)
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  44. Muñoz AO, Camacho E, Torous J. Marketplace and Literature Review of Spanish Language Mental Health Apps. Frontiers in Digital Health 2021;3
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  45. Hussein WF, Bennett PN, 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
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  46. Johnston S, Hogg W, Wong ST, 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
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  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
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  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
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  49. Reeves PT, Royall M, Spencer S, Rogers PL, Durning SJ, 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
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  50. Khoong EC, Olazo K, Rivadeneira NA, Thatipelli S, Barr-Walker J, Fontil V, Lyles CR, 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)
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  51. KC B, Alrasheedy A, Goh BH, Blebil A, Bangash NSA, Mohamed Ibrahim MI, Rehman IU. 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
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  52. Sun X, Zhou W, Feng Y. Mobile healthcare platforms' sustainability: The perspective of health information quality. Frontiers in Public Health 2023;10
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  53. Shroff A, Roulston C, Fassler J, Dierschke NA, Todd JSP, Ríos-Herrera , Plastino KA, Schleider JL. A Digital Single-Session Intervention Platform for Youth Mental Health: Cultural Adaptation, Evaluation, and Dissemination. JMIR Mental Health 2023;10:e43062
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  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
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  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
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  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):146045822211023
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  57. Matos DP, Torres MD, da Silva LSR, dos Santos CAAS, de Oliveira FJF, de Araújo MFM, de Oliveira Serra MAA. Hansenapp: Development of a mobile application to assist primary healthcare providers to control leprosy. Tropical Medicine & International Health 2022;27(8):719
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  58. . Dijital Hastane Modelinin Gerçekleşmesi Bağlamında Mobil Cihazların Sağlık Turizmi Alanındaki Rolü. Health Care Academician Journal 2022;
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  59. Omoloja A, Vundavalli S. Patient generated health data: Benefits and challenges. Current Problems in Pediatric and Adolescent Health Care 2021;51(11):101103
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  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
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  61. Figueroa CA, Murayama H, Amorim PC, White A, Quiterio A, Luo T, Aguilera A, Smith ADR, Lyles CR, Robinson V, von Vacano C. Applying the Digital Health Social Justice Guide. Frontiers in Digital Health 2022;4
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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
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  2. Ariani A, Koesoema AP, Soegijoko S. Innovative Healthcare Systems for the 21st Century. 2017. Chapter 2:15
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