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

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

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

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

Journals

  1. Ma S, Chou W, Chien T, Chow J, 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 View
  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 View
  3. James D, 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 View
  4. Real F, DeBlasio D, Rounce C, Henize A, Beck A, Klein M. Opportunities for and Barriers to Using Smartphones for Health Education Among Families at an Urban Primary Care Clinic. Clinical Pediatrics 2018;57(11):1281 View
  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) View
  6. Doub A, Small M, Birch L. A call for research exploring social media influences on mothers' child feeding practices and childhood obesity risk. Appetite 2016;99:298 View
  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 View
  8. Santa Maria D, Markham C, Bluethmann S, Mullen P. 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 View
  9. Robinson A, Davis M, Hall J, Lauckner C, Anderson A. It Takes an E-Village: Supporting African American Mothers in Sustaining Breastfeeding Through Facebook Communities. Journal of Human Lactation 2019;35(3):569 View
  10. Davies M, Terhorst L, Nakonechny A, 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 View
  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 View
  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 View
  13. Manganello J, Falisi A, Roberts K, Smith K, McKenzie L. 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 View
  14. Graham R, Smith S. African American Digital Practices: Mobile E-Health and Residential Segregation. Sociological Focus 2018;51(3):186 View
  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) View
  16. Abshire D, Gibbs S, McManus C, Caldwell T, Cox D. Interest, Resources, and Preferences for Weight Loss Programs among Primary Care Patients with Obesity. Patient Education and Counseling 2020;103(9):1846 View
  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 View
  18. Serdarevic M, Fazzino T, MacLean C, Rose G, Helzer J. 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 View
  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 View
  20. Zachary W, Wilkin T, Puglisi L, Butler M, Ferdousi I, Smart J, Pethkar P, Surkan P. 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 View
  21. Ryan-Pettes S, Lange L, Magnuson K. 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 View
  22. Pretorius K, Johnson K, 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 View
  23. Chang C, Yeh Y, Chien T, Lin J, Cheng B, Kuo S. The computation of case fatality rate for novel coronavirus (COVID-19) based on Bayes theorem. Medicine 2020;99(21):e19925 View
  24. Djaja N, Janda M, Olsen C, Whiteman D, Chien T. Estimating Skin Cancer Risk: Evaluating Mobile Computer-Adaptive Testing. Journal of Medical Internet Research 2016;18(1):e22 View
  25. Nievas Soriano B, García Duarte S, Fernández Alonso A, 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 View
  26. Achtyes E, Ben-Zeev D, Luo Z, Mayle H, Burke B, Rotondi A, Gottlieb J, Brunette M, Mueser K, Gingerich S, Meyer-Kalos P, Marcy P, Schooler N, Robinson D, Kane J. 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 View
  27. Mathews S, McShea M, Hanley C, Ravitz A, Labrique A, Cohen A. Digital health: a path to validation. npj Digital Medicine 2019;2(1) View
  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 View
  29. Hanson C, West J, Thackeray R, Barnes M, 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 View
  30. McGoron L, Ratner H, Knoff K, Hvizdos E, Ondersma S. 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 View
  31. Callender C, Thompson D. Text Messaging Based Obesity Prevention Program for Parents of Pre-Adolescent African American Girls. Children 2017;4(12):105 View
  32. Mitchell U, Chebli P, Ruggiero L, Muramatsu N. The Digital Divide in Health-Related Technology Use: The Significance of Race/Ethnicity. The Gerontologist 2019;59(1):6 View
  33. Mogul D, Lee J, Purnell T, Massie A, Ishaque T, Segev D, Bridges J. Barriers to access in pediatric living‐donor liver transplantation. Pediatric Transplantation 2019;23(6) View
  34. Julian A, Welch J, Bean M, Shahid S, Perna F. Information About Sunscreen on YouTube and Considerations for Sun Safety Promotion: Content Analysis. JMIR Dermatology 2020;3(1):e14411 View
  35. Berger M, Steinberg D, Askew S, Gallis J, Treadway C, Egger J, Kay M, Batch B, Finkelstein E, DeVries A, Brewer A, Bennett G. The Balance protocol: a pragmatic weight gain prevention randomized controlled trial for medically vulnerable patients within primary care. BMC Public Health 2019;19(1) View
  36. Abbott D, Voils C, Fisher D, Greenberg C, Safdar N. Socioeconomic disparities, financial toxicity, and opportunities for enhanced system efficiencies for patients with cancer. Journal of Surgical Oncology 2017;115(3):250 View
  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) View
  38. Jabour S, Page A, Hall S, Rodriguez L, Shields W, Alvanzo A. 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 View
  39. Lee D, Frey G, Min A, Kim B, Cothran D, Bellini S, Han K, Shih P. 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 View
  40. Hopkins I, Dunn K, Bourgeois F, Rogers J, Chiang V. From development to implementation—A smartphone and email-based discharge follow-up program for pediatric patients after hospital discharge. Healthcare 2016;4(2):109 View
  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 View
  42. Frost J, Cherry R, Oyeku S, Faro E, Crosby L, Britto M, Tuchman L, Horn I, Homer C, Jain A. Improving Sickle Cell Transitions of Care Through Health Information Technology. American Journal of Preventive Medicine 2016;51(1):S17 View
  43. Genz A, Kirk G, Piggott D, Mehta S, Linas B, Westergaard R. 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 View
  44. Pretorius K, Mackert M, Wilcox G. 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 View
  45. May F, Whitman C, Varlyguina K, Bromley E, Spiegel B. 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 View
  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 View
  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) View
  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 View
  49. Surkan P, Puglisi L, Butler K, Elmi N, Zachary W. 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 View
  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 View
  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 View
  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) View
  53. Pysmenna O, Anderson K. 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 View
  54. Nievas-Soriano B, Castro-Luna G, García-Duarte S, González-López M, 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 View
  55. Elam A, Tseng V, Rodriguez T, Mike E, Warren A, Coleman A, 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 View
  56. Capó H, Edmond J, Alabiad C, Ross A, Williams B, Briceño C. The Importance of Health Literacy in Addressing Eye Health and Eye Care Disparities. Ophthalmology 2022;129(10):e137 View
  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) View
  58. Blinder V, Patil S, Finik J, Makower D, Muppidi M, Lichtenthal W, Parker P, 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) View
  59. Lion K, Raphael J. Partnering Health Disparities Research With Quality Improvement Science in Pediatrics. Pediatrics 2015;135(2):354 View
  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) View
  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 View
  62. Thompson D, Mirabile Y, Islam N, Callender C, Musaad S, Miranda J, Moreno J, Dave J, Baranowski T. Diet Quality among Pre-Adolescent African American Girls in a Randomized Controlled Obesity Prevention Intervention Trial. Nutrients 2023;15(12):2716 View
  63. Kan K, Morales L, Shah A, Simmons E, Barrera L, Massey L, List G, Gupta R. Digital Technology Characteristics and Literacy Among Families With Children With Asthma: Cross-Sectional Study. JMIR Pediatrics and Parenting 2023;6:e48822 View
  64. Widman Valencia M, Estrella Castillo D, Gómez De Regil L. Oral-motor therapy. Revista Ocupación Humana 2024;24(1):23 View
  65. Yakubu A, Olalude O, Salami M, Amuta A, Amusa A, Salaudeen H, Awoyemi A. Telemedicine and Neurology: A Survey of Neurology Patients in a Nigerian Tertiary Hospital. Cureus 2024 View

Books/Policy Documents

  1. Hall C, Culler E, Frank-Webb A. Encyclopedia of E-Health and Telemedicine. View
  2. Moghimi H, Wickramasinghe N. Contemporary Consumer Health Informatics. View
  3. Dalrymple P, Zach L. Meeting Health Information Needs Outside Of Healthcare. View