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Citing this Article

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Published on 13.01.14 in Vol 16, No 1 (2014): January

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

Works citing "Internet and Mobile Technology Use Among Urban African American Parents: Survey Study of a Clinical Population"

Stephanie J Mitchell, Leandra Godoy, Kanya Shabazz, Ivor B Horn

J Med Internet Res 2014 (Jan 13); 16(1):e9 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2673):

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

  1. Ma S, Chou W, Chien T, Chow JC, Yeh Y, Chou P, Lee H. An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study. JMIR mHealth and uHealth 2020;8(5):e16747
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  2. Zallman L, Bearse A, West C, Bor D, McCormick D. Patient preferences and access to text messaging for health care reminders in a safety-net setting. Informatics for Health and Social Care 2017;42(1):32
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  3. James DC, Harville C. eHealth Literacy, Online Help-Seeking Behavior, and Willingness to Participate in mHealth Chronic Disease Research Among African Americans, Florida, 2014–2015. Preventing Chronic Disease 2016;13
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  4. Real FJ, DeBlasio D, Rounce C, Henize AW, Beck AF, Klein MD. Opportunities for and Barriers to Using Smartphones for Health Education Among Families at an Urban Primary Care Clinic. Clinical Pediatrics 2018;57(11):1281
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  5. Chien T, Lin W. Simulation study of activities of daily living functions using online computerized adaptive testing. BMC Medical Informatics and Decision Making 2016;16(1)
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  6. Doub AE, Small M, Birch LL. A call for research exploring social media influences on mothers' child feeding practices and childhood obesity risk. Appetite 2016;99:298
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  7. Shi C, Wang L, Li X, Chai S, Niu W, Kong Y, Zhou W, Yin W. Virtual classroom helps medical education for both Chinese and foreign students. European Journal of Dental Education 2015;19(4):217
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  8. Santa Maria D, Markham C, Bluethmann S, Mullen PD. Parent‐Based Adolescent Sexual Health Interventions And Effect on Communication Outcomes: A Systematic Review and Meta‐Analyses. Perspectives on Sexual and Reproductive Health 2015;47(1):37
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  9. Robinson A, Davis M, Hall J, Lauckner C, Anderson AK. It Takes an E-Village: Supporting African American Mothers in Sustaining Breastfeeding Through Facebook Communities. Journal of Human Lactation 2019;35(3):569
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  10. Davies MA, Terhorst L, Nakonechny AJ, Skukla N, El Saadawi G. The development and effectiveness of a health information website designed to improve parents' self‐efficacy in managing risk for obesity in preschoolers. Journal for Specialists in Pediatric Nursing 2014;19(4):316
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  11. Chang I, Chen R. The Impact of Perceived Usefulness on Satisfaction with Online Parenting Resources: The Mediating Effects of Liking and Online Interaction. The Asia-Pacific Education Researcher 2020;29(4):307
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  12. Jansen R, Reid M. Communication Technology Use by Caregivers of Adolescents With Mental Health Issues: Systematic Review. JMIR mHealth and uHealth 2020;8(8):e13179
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  13. Manganello JA, Falisi AL, Roberts KJ, Smith KC, McKenzie LB. Pediatric injury information seeking for mothers with young children: The role of health literacy and ehealth literacy. Journal of Communication in Healthcare 2016;9(3):223
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  14. Graham RS, Smith SK. African American Digital Practices: Mobile E-Health and Residential Segregation. Sociological Focus 2018;51(3):186
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  15. Deng X, Wang Y, Zhu T, Zhang W, Yin Y, Ye L. Short Message Service (SMS) can Enhance Compliance and Reduce Cancellations in a Sedation Gastrointestinal Endoscopy Center: A Prospective Randomized Controlled Trial. Journal of Medical Systems 2015;39(1)
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  16. Abshire DA, Gibbs S, McManus C, Caldwell T, Cox DA. Interest, Resources, and Preferences for Weight Loss Programs among Primary Care Patients with Obesity. Patient Education and Counseling 2020;103(9):1846
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  17. Yan Y, Chien T, Yeh Y, Chou W, Hsing S. An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(7):e17857
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  18. Serdarevic M, Fazzino TL, MacLean CD, Rose GL, Helzer JE. Recruiting 9126 Primary Care Patients by Telephone: Characteristics of Participants Reached on Landlines, Basic Cell Phones, and Smartphones. Population Health Management 2016;19(3):212
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  19. Lee Y, Chou W, Chien T, Chou P, Yeh Y, Lee H. An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study. JMIR Medical Informatics 2020;8(5):e16528
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  20. Zachary WW, Wilkin T, Puglisi L, Butler M, Ferdousi I, Smart J, Pethkar P, Surkan PJ. Designing a Cardiovascular Health App for Citizens Returning from Incarceration: Where You Start May Not Be Where You End Up. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2020;9(1):34
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  21. Ryan-Pettes SR, Lange LL, Magnuson KI. Mobile Phone Access and Preference for Technology-Assisted Aftercare Among Low-Income Caregivers of Teens Enrolled in Outpatient Substance Use Treatment: Questionnaire Study. JMIR mHealth and uHealth 2019;7(9):e12407
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  22. Pretorius K, Johnson KE, Rew L. An Integrative Review: Understanding Parental Use of Social Media to Influence Infant and Child Health. Maternal and Child Health Journal 2019;23(10):1360
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  23. Chang C, Yeh Y, Chien T, Lin JJ, Cheng B, Kuo S. The computation of case fatality rate for novel coronavirus (COVID-19) based on Bayes theorem. Medicine 2020;99(21):e19925
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  24. Djaja N, Janda M, Olsen CM, Whiteman DC, Chien T. Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing. Journal of Medical Internet Research 2016;18(1):e22
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  25. Nievas Soriano BJ, García Duarte S, Fernández Alonso AM, Bonillo Perales A, Parrón Carreño T. Validation of a Questionnaire Developed to Evaluate a Pediatric eHealth Website for Parents. International Journal of Environmental Research and Public Health 2020;17(8):2671
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  26. Achtyes ED, Ben-Zeev D, Luo Z, Mayle H, Burke B, Rotondi AJ, Gottlieb JD, Brunette MF, Mueser KT, Gingerich S, Meyer-Kalos PS, Marcy P, Schooler NR, Robinson DG, Kane JM. Off-hours use of a smartphone intervention to extend support for individuals with schizophrenia spectrum disorders recently discharged from a psychiatric hospital. Schizophrenia Research 2019;206:200
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  27. Mathews SC, McShea MJ, Hanley CL, Ravitz A, Labrique AB, Cohen AB. Digital health: a path to validation. npj Digital Medicine 2019;2(1)
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  28. Callender C, Thompson D. Family TXT: Feasibility and Acceptability of a mHealth Obesity Prevention Program for Parents of Pre-Adolescent African American Girls. Children 2018;5(6):81
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  29. Hanson CL, West J, Thackeray R, Barnes MD, Downey J. Understanding and Predicting Social Media Use Among Community Health Center Patients: A Cross-Sectional Survey. Journal of Medical Internet Research 2014;16(11):e270
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  30. McGoron L, Ratner HH, Knoff KA, Hvizdos E, Ondersma SJ. A Pragmatic Internet Intervention to Promote Positive Parenting and School Readiness in Early Childhood: Initial Evidence of Program Use and Satisfaction. JMIR Pediatrics and Parenting 2019;2(2):e14518
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  31. Callender C, Thompson D. Text Messaging Based Obesity Prevention Program for Parents of Pre-Adolescent African American Girls. Children 2017;4(12):105
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  32. Mitchell UA, Chebli PG, Ruggiero L, Muramatsu N. The Digital Divide in Health-Related Technology Use: The Significance of Race/Ethnicity. The Gerontologist 2019;59(1):6
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  33. Mogul DB, Lee J, Purnell TS, Massie AB, Ishaque T, Segev DL, Bridges JFP. Barriers to access in pediatric living‐donor liver transplantation. Pediatric Transplantation 2019;23(6)
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  34. Julian AK, Welch J, Bean MM, Shahid S, Perna FM. Information About Sunscreen on YouTube and Considerations for Sun Safety Promotion: Content Analysis. JMIR Dermatology 2020;3(1):e14411
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  35. Berger MB, Steinberg DM, Askew S, Gallis JA, Treadway CC, Egger JR, Kay MC, Batch BC, Finkelstein EA, DeVries A, Brewer A, Bennett GG. The Balance protocol: a pragmatic weight gain prevention randomized controlled trial for medically vulnerable patients within primary care. BMC Public Health 2019;19(1)
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  36. Abbott DE, Voils CL, Fisher DA, Greenberg CC, Safdar N. Socioeconomic disparities, financial toxicity, and opportunities for enhanced system efficiencies for patients with cancer. Journal of Surgical Oncology 2017;115(3):250
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  37. Ma S, Wang H, Chien T. A new technique to measure online bullying: online computerized adaptive testing. Annals of General Psychiatry 2017;16(1)
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  38. Jabour SM, Page A, Hall SF, Rodriguez L, Shields WC, Alvanzo AA. Information and Communication Technologies Interest, Access, and Use: Cross-Sectional Survey of a Community Sample of Urban, Predominantly Black Women. Journal of Medical Internet Research 2018;20(8):e248
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  39. Lee D, Frey GC, Min A, Kim B, Cothran DJ, Bellini S, Han K, Shih PC. Usability inquiry of a gamified behavior change app for increasing physical activity and reducing sedentary behavior in adults with and without autism spectrum disorder. Health Informatics Journal 2020;26(4):2992
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  40. Hopkins IG, Dunn K, Bourgeois F, Rogers J, Chiang VW. From development to implementation—A smartphone and email-based discharge follow-up program for pediatric patients after hospital discharge. Healthcare 2016;4(2):109
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  41. Hills O, Shah D. Online health information seeking, medical care beliefs and timeliness of medical check-ups among African Americans. Patient Education and Counseling 2020;103(12):2468
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  42. Frost JR, Cherry RK, Oyeku SO, Faro EZ, Crosby LE, Britto M, Tuchman LK, Horn IB, Homer CJ, Jain A. Improving Sickle Cell Transitions of Care Through Health Information Technology. American Journal of Preventive Medicine 2016;51(1):S17
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  43. Genz A, Kirk G, Piggott D, Mehta SH, Linas BS, Westergaard RP. Uptake and Acceptability of Information and Communication Technology in a Community-Based Cohort of People Who Inject Drugs: Implications for Mobile Health Interventions. JMIR mHealth and uHealth 2015;3(2):e70
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  44. Pretorius KA, Mackert M, Wilcox GB. Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts. JMIR Pediatrics and Parenting 2018;1(2):e10435
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  45. May FP, Whitman CB, Varlyguina K, Bromley EG, Spiegel BMR. Addressing Low Colorectal Cancer Screening in African Americans: Using Focus Groups to Inform the Development of Effective Interventions. Journal of Cancer Education 2016;31(3):567
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  46. Masilamani V, Sriram A, Rozario A. eHealth literacy of late adolescents: Credibility and quality of health information through smartphones in India. Comunicar 2020;28(64):86
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  47. 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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  48. Chou P, Chien T, Yang T, Yeh Y, Chou W, Yeh C. Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study. International Journal of Environmental Research and Public Health 2021;18(8):4256
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  49. Surkan PJ, Puglisi LB, Butler K, Elmi N, Zachary WW. A roadmap for cardiovascular care after release from incarceration: uses of a smartphone application. Journal of the American Medical Informatics Association 2021;28(9):1849
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  50. Hsu C, Chien T, Yan Y. An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing. Medicine 2021;100(52):e28457
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  51. Lin C, Chien T, Chen Y, Lee Y, Su S. An app to classify a 5-year survival in patients with breast cancer using the convolutional neural networks (CNN) in Microsoft Excel. Medicine 2022;101(4):e28697
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  52. Foster C, Schinasi D, Kan K, Macy M, Wheeler D, Curfman A. Remote Monitoring of Patient- and Family-Generated Health Data in Pediatrics. Pediatrics 2022;149(2)
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  53. Pysmenna O, Anderson KM. Income and Health Perceptions in an Economically Disadvantaged Community: A Qualitative Case Study from Central Florida. International Journal of Community Well-Being 2022;5(4):687
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  54. Nievas-Soriano BJ, Castro-Luna GM, García-Duarte S, González-López MDC, Parrón-Carreño T. Profile of the Users and the Most Visited Topics of a Pediatric eHealth Website. International Journal of Environmental Research and Public Health 2021;18(21):11248
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  55. Elam AR, Tseng VL, Rodriguez TM, Mike EV, Warren AK, Coleman AL, Aguwa U, Alabiad C, Briceno C, Capo H, Contreras M, Edmond J, Ervin A, Fountain T, Friedman D, Gao J, Gordon L, Harewood J, Kitayama K, Knight O, Lee A, Lee P, Legault G, Nwanyanwu K, Olivier M, Perez-Gonzalez C, Randolph J, Ross A, Shoge R, Solomon S, Williams B, Woreta F, Wright C, Zebardast N. Disparities in Vision Health and Eye Care. Ophthalmology 2022;129(10):e89
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  56. Capó H, Edmond JC, Alabiad CR, Ross AG, Williams BK, Briceño CA. The Importance of Health Literacy in Addressing Eye Health and Eye Care Disparities. Ophthalmology 2022;129(10):e137
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  57. Wagh A, Pan S, Gordon S, Hellerova L, Ji Y, Park H, Tsai S. Pediatric health care use during the COVID‐19 pandemic: Lessons learned from the initial 2020 wave. Journal of the American College of Emergency Physicians Open 2022;3(5)
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  58. Blinder VS, Patil S, Finik J, Makower D, Muppidi M, Lichtenthal WG, Parker PA, Claros M, Suarez J, Narang B, Gany F. An interactive mobile application versus an educational booklet to promote job retention in women undergoing adjuvant chemotherapy for breast cancer: a randomized controlled trial. Trials 2022;23(1)
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  59. Lion KC, Raphael JL. Partnering Health Disparities Research With Quality Improvement Science in Pediatrics. Pediatrics 2015;135(2):354
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  60. Chen H, Chien T, Chen L, Yeh Y, Ma S, Lee H. An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel. Medicine 2022;101(11)
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  61. Yang T, Chien T, Lai F. Web-Based Skin Cancer Assessment and Classification Using Machine Learning and Mobile Computerized Adaptive Testing in a Rasch Model: Development Study. JMIR Medical Informatics 2022;10(3):e33006
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  62. Thompson D, Mirabile Y, Islam N, Callender C, Musaad SMA, Miranda J, Moreno JP, Dave JM, Baranowski T. Diet Quality among Pre-Adolescent African American Girls in a Randomized Controlled Obesity Prevention Intervention Trial. Nutrients 2023;15(12):2716
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  63. Kan K, Morales L, Shah A, Simmons E, Barrera L, Massey L, List G, Gupta RS. Digital Technology Characteristics and Literacy Among Families With Children With Asthma: Cross-Sectional Study. JMIR Pediatrics and Parenting 2023;6:e48822
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  64. Widman Valencia ME, Estrella Castillo D, Gómez De Regil L. Oral-motor therapy. Revista Ocupación Humana 2024;24(1):23
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  65. Yakubu AO, Olalude O, Salami M, Amuta AC, Amusa A, Salaudeen HA, Awoyemi AJ. Telemedicine and Neurology: A Survey of Neurology Patients in a Nigerian Tertiary Hospital. Cureus 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2673):

  1. Hall CM, Culler ED, Frank-Webb A. Encyclopedia of E-Health and Telemedicine. 2016. chapter 56:722
    CrossRef
  2. Moghimi H, Wickramasinghe N. Contemporary Consumer Health Informatics. 2016. Chapter 23:413
    CrossRef
  3. Dalrymple PW, Zach L. Meeting Health Information Needs Outside Of Healthcare. 2015. :209
    CrossRef