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Citing this Article

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Published on 27.01.17 in Vol 4, No 1 (2017): Jan-Mar

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

Works citing "eHealth Literacy: Predictors in a Population With Moderate-to-High Cardiovascular Risk"

According to Crossref, the following articles are citing this article (DOI 10.2196/humanfactors.6217):

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

  1. Brørs G, Wentzel-Larsen T, Dalen H, Hansen TB, Norman CD, Wahl A, Norekvål TM. Psychometric Properties of the Norwegian Version of the Electronic Health Literacy Scale (eHEALS) Among Patients After Percutaneous Coronary Intervention: Cross-Sectional Validation Study. Journal of Medical Internet Research 2020;22(7):e17312
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  2. Yang E, Chang SJ, Ryu H, Kim HJ, Jang SJ. Comparing Factors Associated With eHealth Literacy Between Young and Older Adults. Journal of Gerontological Nursing 2020;46(8):46
    CrossRef
  3. Langford A, Loeb S. Perceived Patient-Provider Communication Quality and Sociodemographic Factors Associated With Watching Health-Related Videos on YouTube: A Cross-Sectional Analysis. Journal of Medical Internet Research 2019;21(5):e13512
    CrossRef
  4. 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
  5. Alhuwail D, Abdulsalam Y. Assessing Electronic Health Literacy in the State of Kuwait: Survey of Internet Users From an Arab State. Journal of Medical Internet Research 2019;21(5):e11174
    CrossRef
  6. Shiferaw KB, Mehari EA, Eshete T. eHealth literacy and internet use among undergraduate nursing students in a resource limited country: A cross-sectional study. Informatics in Medicine Unlocked 2020;18:100273
    CrossRef
  7. Cherid C, Baghdadli A, Wall M, Mayo NE, Berry G, Harvey EJ, Albers A, Bergeron SG, Morin SN. Current level of technology use, health and eHealth literacy in older Canadians with a recent fracture—a survey in orthopedic clinics. Osteoporosis International 2020;31(7):1333
    CrossRef
  8. Grassl N, Nees J, Schramm K, Spratte J, Sohn C, Schott TC, Schott S. A Web-Based Survey Assessing the Attitudes of Health Care Professionals in Germany Toward the Use of Telemedicine in Pregnancy Monitoring: Cross-Sectional Study. JMIR mHealth and uHealth 2018;6(8):e10063
    CrossRef
  9. Pot M, Paulussen TG, Ruiter RA, Mollema L, Hofstra M, Van Keulen HM. Dose-Response Relationship of a Web-Based Tailored Intervention Promoting Human Papillomavirus Vaccination: Process Evaluation of a Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e14822
    CrossRef
  10. Thorsen IK, Rossen S, Glümer C, Midtgaard J, Ried-Larsen M, Kayser L. Health Technology Readiness Profiles Among Danish Individuals With Type 2 Diabetes: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(9):e21195
    CrossRef
  11. Wallin E, Norlund F, Olsson EMG, Burell G, Held C, Carlsson T. Treatment Activity, User Satisfaction, and Experienced Usability of Internet-Based Cognitive Behavioral Therapy for Adults With Depression and Anxiety After a Myocardial Infarction: Mixed-Methods Study. Journal of Medical Internet Research 2018;20(3):e87
    CrossRef
  12. Rathnayake S, Moyle W, Jones CJ, Calleja P. Development of an mHealth application for family carers of people with dementia: A study protocol. Collegian 2019;26(2):295
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  13. . Understanding eHealth Literacy From a Privacy Perspective: eHealth Literacy and Digital Privacy Skills in American Disadvantaged Communities. American Behavioral Scientist 2018;62(10):1431
    CrossRef
  14. Arcury TA, Sandberg JC, Melius KP, Quandt SA, Leng X, Latulipe C, Miller DP, Smith DA, Bertoni AG. Older Adult Internet Use and eHealth Literacy. Journal of Applied Gerontology 2020;39(2):141
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  15. Narcisse M, Felix H, Long CR, Hudson T, Payakachat N, Bursac Z, McElfish PA. Frequency and predictors of health services use by Native Hawaiians and Pacific Islanders: evidence from the U.S. National Health Interview Survey. BMC Health Services Research 2018;18(1)
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  16. ÖZER , ÖZMEN S, ÖZKAN O. Sosyal Medya Kullanımının E-Sağlık Okuryazarlığına Etkisinin İncelenmesi. Alanya Akademik Bakış 2020;4(2):353
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  17. SARIYAR S, FIRAT KILIÇ H. Sağlık Okuryazarlığının Değerlendirilmesinde Kullanılan Araçlar. Hacettepe Üniversitesi Hemşirelik Fakültesi Dergisi 2019;6(2):126
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  18. Brewer LC, Jenkins S, Lackore K, Johnson J, Jones C, Cooper LA, Radecki Breitkopf C, Hayes SN, Patten C. mHealth Intervention Promoting Cardiovascular Health Among African-Americans: Recruitment and Baseline Characteristics of a Pilot Study. JMIR Research Protocols 2018;7(1):e31
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  19. Rathnayake S, Moyle W, Jones C, Calleja P. Family carers’ needs related to management of functional disability in dementia care and use of mHealth applications in health information seeking: An online survey. Collegian 2020;27(3):288
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  20. Paige SR, Stellefson M, Krieger JL, Anderson-Lewis C, Cheong J, Stopka C. Proposing a Transactional Model of eHealth Literacy: Concept Analysis. Journal of Medical Internet Research 2018;20(10):e10175
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  21. Levin-Zamir D, Bertschi I. Media Health Literacy, eHealth Literacy, and the Role of the Social Environment in Context. International Journal of Environmental Research and Public Health 2018;15(8):1643
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  22. Shiferaw KB, Tilahun BC, Endehabtu BF, Gullslett MK, Mengiste SA. E-health literacy and associated factors among chronic patients in a low-income country: a cross-sectional survey. BMC Medical Informatics and Decision Making 2020;20(1)
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  23. Peltzer S, Hellstern M, Genske A, Jünger S, Woopen C, Albus C. Health literacy in persons at risk of and patients with coronary heart disease: A systematic review. Social Science & Medicine 2020;245:112711
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  24. Hyde LL, Boyes AW, Mackenzie LJ, Leigh L, Oldmeadow C, Riveros C, Sanson-Fisher R. Electronic Health Literacy Among Magnetic Resonance Imaging and Computed Tomography Medical Imaging Outpatients: Cluster Analysis. Journal of Medical Internet Research 2019;21(8):e13423
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  25. Narcisse M, Rowland B, Long CR, Felix H, McElfish PA. Heart Attack and Stroke Symptoms Knowledge of Native Hawaiians and Pacific Islanders in the United States: Findings From the National Health Interview Survey. Health Promotion Practice 2021;22(1):122
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  26. Lotto M, Strieder AP, Ayala Aguirre PE, Oliveira TM, Andrade Moreira Machado MA, Rios D, Cruvinel T. Parental-oriented educational mobile messages to aid in the control of early childhood caries in low socioeconomic children: A randomized controlled trial. Journal of Dentistry 2020;101:103456
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  27. Frederix I, Caiani EG, Dendale P, Anker S, Bax J, Böhm A, Cowie M, Crawford J, de Groot N, Dilaveris P, Hansen T, Koehler F, Krstačić G, Lambrinou E, Lancellotti P, Meier P, Neubeck L, Parati G, Piotrowicz E, Tubaro M, van der Velde E. ESC e-Cardiology Working Group Position Paper: Overcoming challenges in digital health implementation in cardiovascular medicine. European Journal of Preventive Cardiology 2019;26(11):1166
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  28. Rathnayake S, Senevirathna A. Self-reported eHealth literacy skills among nursing students in Sri Lanka: A cross-sectional study. Nurse Education Today 2019;78:50
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  29. Knitza J, Simon D, Lambrecht A, Raab C, Tascilar K, Hagen M, Kleyer A, Bayat S, Derungs A, Amft O, Schett G, Hueber AJ. Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study. JMIR mHealth and uHealth 2020;8(8):e19661
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  30. Wang Y, Collins WB. Systematic evaluation of mobile fitness apps: Apps as the Tutor, Recorder, Game Companion, and Cheerleader. Telematics and Informatics 2021;59:101552
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  31. Choma BL, Hodson G, Sumantry D, Hanoch Y, Gummerum M. Ideological and psychological predictors of COVID-19-related collective action, opinions, and health compliance across three nations. Journal of Social and Political Psychology 2021;9(1):123
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  32. An L, Bacon E, Hawley S, Yang P, Russell D, Huffman S, Resnicow K. Relationship Between Coronavirus-Related eHealth Literacy and COVID-19 Knowledge, Attitudes, and Practices among US Adults: Web-Based Survey Study. Journal of Medical Internet Research 2021;23(3):e25042
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  33. Guo Z, Zhao SZ, Guo N, Wu Y, Weng X, Wong JY, Lam TH, Wang MP. Socioeconomic Disparities in eHealth Literacy and Preventive Behaviors During the COVID-19 Pandemic in Hong Kong: Cross-sectional Study. Journal of Medical Internet Research 2021;23(4):e24577
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  34. Taylor PC, Ancuta C, Nagy O, de la Vega MC, Gordeev A, Janková R, Kalyoncu U, Lagunes-Galindo I, Morović-Vergles J, Souza MPGESD, Rojkovich B, Sidiropoulos P, Kawakami A. Treatment Satisfaction, Patient Preferences, and the Impact of Suboptimal Disease Control in a Large International Rheumatoid Arthritis Cohort: SENSE Study. Patient Preference and Adherence 2021;Volume 15:359
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  35. Yuan T, Li XD, Zhang M, Tao XB, Xu SJ, Liu H. Impact of the eHealth literacy, knowledge and attitudes on COVID-19 prevention behavior among residents in the second year of the COVID-19 pandemic: A cross-sectional study in Anhui Province, China. Frontiers in Public Health 2022;10
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  36. Engelen M, van Gaal B, Vermeulen H, Zuidema R, Bredie S, van Dulmen S. The Influencing Contexts and Potential Mechanisms Behind the Use of Web-Based Self-management Support Interventions: Realistic Evaluation. JMIR Human Factors 2022;9(3):e34925
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  37. Helmark C, Egholm CL, Rottmann N, Skovbakke SJ, Andersen CM, Johansen JB, Nielsen JC, Larroudé CE, Riahi S, Brandt CJ, Pedersen SS. A web-based intervention for patients with an implantable cardioverter defibrillator – A qualitative study of nurses’ experiences (Data from the ACQUIRE-ICD study). PEC Innovation 2023;2:100110
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  38. Lo Moro G, Scaioli G, Bert F, Zacchero AL, Minutiello E, Siliquini R. Exploring the Relationship between COVID-19 Vaccine Refusal and Belief in Fake News and Conspiracy Theories: A Nationwide Cross-Sectional Study in Italy. International Journal of Environmental Research and Public Health 2022;19(15):9350
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  39. Lear R, Freise L, Kybert M, Darzi A, Neves AL, Mayer EK. Perceptions of Quality of Care Among Users of a Web-Based Patient Portal: Cross-sectional Survey Analysis. Journal of Medical Internet Research 2022;24(11):e39973
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  40. Cyriac J, Jenkins S, Patten CA, Hayes SN, Jones C, Cooper LA, Brewer LC. Improvements in Diet and Physical Activity–Related Psychosocial Factors Among African Americans Using a Mobile Health Lifestyle Intervention to Promote Cardiovascular Health: The FAITH! (Fostering African American Improvement in Total Health) App Pilot Study. JMIR mHealth and uHealth 2021;9(11):e28024
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  41. Morton E, Ho K, Barnes SJ, Michalak EE. Digital Health Literacy in Bipolar Disorder: International Web-Based Survey. JMIR Mental Health 2021;8(10):e29764
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  42. Brouwers RWM, Brini A, Kuijpers RWFH, Kraal JJ, Kemps HMC. Predictors of non-participation in a cardiac telerehabilitation programme: a prospective analysis. European Heart Journal - Digital Health 2022;3(1):81
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  43. Brewer LC, Cyriac J, Kumbamu A, Burke LE, Jenkins S, Hayes SN, Jones C, Cooper LA, Patten CA. Sign of the times: Community engagement to refine a cardiovascular mHealth intervention through a virtual focus group series during the COVID-19 Pandemic. DIGITAL HEALTH 2022;8:205520762211105
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  44. Bardus M, Keriabian A, Elbejjani M, Al-Hajj S. Assessing eHealth literacy among internet users in Lebanon: A cross-sectional study. DIGITAL HEALTH 2022;8:205520762211193
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  45. TEMÜR BN, AKSOY N. Hastalık Yönetiminde Dijital Sağlık Okuryazarlığı. Dokuz Eylül Üniversitesi Hemşirelik Fakültesi Elektronik Dergisi 2022;15(3):413
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  46. Ramstad KJ, Brørs G, Pettersen TR, Deaton C, Palm P, Rotevatn S, Wentzel-Larsen T, Norekvål TM. eHealth technology use and eHealth literacy after percutaneous coronary intervention. European Journal of Cardiovascular Nursing 2023;22(5):472
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  47. Son Y, Kim EY. The effectiveness and usability of a novel mobile phone-based self-care intervention for patients with heart failure: a mixed-methods pilot study. European Journal of Cardiovascular Nursing 2022;
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  48. Wiegel J, Seppen B, van der Leeden M, van der Esch M, de Vries R, Bos W. Adherence to Telemonitoring by Electronic Patient-Reported Outcome Measures in Patients with Chronic Diseases: A Systematic Review. International Journal of Environmental Research and Public Health 2021;18(19):10161
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  49. Sjöström A, Hajdarevic S, Hörnsten , Öberg U, Isaksson U. Experiences of Online COVID-19 Information Acquisition among Persons with Type 2 Diabetes and Varying eHealth Literacy. International Journal of Environmental Research and Public Health 2021;18(24):13240
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  50. . eHealth literacy among online health consumers in Jordan. Global Knowledge, Memory and Communication 2022;
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  51. Lear R, Freise L, Kybert M, Darzi A, Neves AL, Mayer EK. Patients’ Willingness and Ability to Identify and Respond to Errors in Their Personal Health Records: Mixed Methods Analysis of Cross-sectional Survey Data. Journal of Medical Internet Research 2022;24(7):e37226
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  52. Dağhan , Kalkim A, Unlu E, Sahin HK, Yuksel M. Factors Affecting eHealth Literacy of Early Adolescents: School-based Research. Comprehensive Child and Adolescent Nursing 2022;45(4):383
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  53. Liu T, Xiao X. A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic. Frontiers in Public Health 2021;9
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  54. Cheng C, Elsworth G, Osborne RH. Validity Evidence Based on Relations to Other Variables of the eHealth Literacy Questionnaire (eHLQ): Bayesian Approach to Test for Known-Groups Validity. Journal of Medical Internet Research 2021;23(10):e30243
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  55. Xie L, Zhang S, Xin M, Zhu M, Lu W, Mo PK. Electronic health literacy and health-related outcomes among older adults: A systematic review. Preventive Medicine 2022;157:106997
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  56. Liu Q, Huang R, Xia L, Yang BX, Liu S, Kang LJ, Chen J, Luo D, Ge HR, Xie YD, Liu Z, Hu Q, Chen Q, Wang XQ. eHealth Literacy of Chinese Residents During the Coronavirus Disease 2019 Pandemic. CIN: Computers, Informatics, Nursing 2023;41(5):292
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  57. Kawahito Y, Takakubo Y, Morinobu A, Matsubara N, Nagy O, Sugiyama E, Kuwana M. Patient satisfaction, preferences, expectations, characteristics, and impact of suboptimal control of rheumatoid arthritis: A subgroup analysis of Japanese patients from a large international cohort study (SENSE). PLOS ONE 2021;16(11):e0259389
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  58. Mattila E, Hansen S, Bundgaard L, Ramsey L, Dunning A, Silva MN, Harjumaa M, Ermes M, Marques MM, Matos M, Larsen SC, Encantado J, Santos I, Horgan G, O'Driscoll R, Turicchi J, Duarte C, Palmeira AL, Stubbs RJ, Heitmann BL, Lähteenmäki L. Users’ Experiences With the NoHoW Web-Based Toolkit With Weight and Activity Tracking in Weight Loss Maintenance: Long-term Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(1):e29302
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  59. Lee WL, Lim ZJ, Tang LY, Yahya NA, Varathan KD, Ludin SM. Patients' Technology Readiness and eHealth Literacy. CIN: Computers, Informatics, Nursing 2022;40(4):244
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  60. Jung SO, Son YH, Choi E. E-health literacy in older adults: an evolutionary concept analysis. BMC Medical Informatics and Decision Making 2022;22(1)
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  61. Castarlenas E, Sánchez-Rodríguez E, Roy R, Tomé-Pires C, Solé E, Jensen MP, Miró J. Electronic Health Literacy in Individuals with Chronic Pain and Its Association with Psychological Function. International Journal of Environmental Research and Public Health 2021;18(23):12528
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  62. Liu S, Wang XQ, Yang BX, Luo D, Liu Y, Fang XJ, Ma S, Kang L, Huang H, Lu B, Zhao J, Liu Z, Liu Q. Electronic health literacy among older adults in the context of the COVID‐19 pandemic: A mixed‐methods study. Journal of Nursing Management 2022;30(6):1949
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  63. Fakhfakh M, Blanchette V, Plourde KV, Gadio S, Elf M, Jones CA, Meijering L, Giguère A, Légaré F. Canadian Older Adults’ Intention to Use an Electronic Decision Aid for Housing Decisions: Cross-sectional Web-Based Survey. JMIR Aging 2023;6:e43106
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  64. Makowsky MJ, Davachi S, Jones CA. eHealth Literacy in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Subanalysis of a 2014 Community-Based Survey. JMIR Formative Research 2022;6(3):e29955
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  65. Chavarria EA, Christy SM, Feng H, Miao H, Abdulla R, Gutierrez L, Lopez D, Sanchez J, Gwede CK, Meade CD. Online Health Information Seeking and eHealth Literacy Among Spanish Language–Dominant Latino Adults Receiving Care in a Community Clinic: Secondary Analysis of Pilot Randomized Controlled Trial Data. JMIR Formative Research 2022;6(10):e37687
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  66. . Seniors’ eHealth literacy, health and education status and personal health knowledge. DIGITAL HEALTH 2022;8:205520762210898
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  69. Tran HTT, Nguyen MH, Pham TTM, Kim GB, Nguyen HT, Nguyen N, Dam HTB, Duong TH, Nguyen YH, Do TT, Nguyen TTP, Le TT, Do HTT, Nguyen TT, Pham KM, Duong TV. Predictors of eHealth Literacy and Its Associations with Preventive Behaviors, Fear of COVID-19, Anxiety, and Depression among Undergraduate Nursing Students: A Cross-Sectional Survey. International Journal of Environmental Research and Public Health 2022;19(7):3766
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  70. Svennberg E, Tjong F, Goette A, Akoum N, Di Biase L, Bordachar P, Boriani G, Burri H, Conte G, Deharo JC, Deneke T, Drossart I, Duncker D, Han JK, Heidbuchel H, Jais P, de Oliveira Figueiredo MJ, Linz D, Lip GYH, Malaczynska-Rajpold K, Márquez MF, Ploem C, Soejima K, Stiles MK, Wierda E, Vernooy K, Leclercq C, Meyer C, Pisani C, Pak HN, Gupta D, Pürerfellner H, Crijns HJGM, Chavez EA, Willems S, Waldmann V, Dekker L, Wan E, Kavoor P, Turagam MK, Sinner M. How to use digital devices to detect and manage arrhythmias: an EHRA practical guide. EP Europace 2022;24(6):979
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According to Crossref, the following books are citing this article (DOI 10.2196/humanfactors.6217):

  1. Shimpi N, Dart R, Umukoro P, Acharya A. Integration of Medical and Dental Care and Patient Data. 2019. Chapter 6:71
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  2. . New Approaches to Health Literacy. 2021. Chapter 11:203
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