Published on in Vol 2, No 4 (2014): Oct-Dec

Digital Technology Ownership, Usage, and Factors Predicting Downloading Health Apps Among Caucasian, Filipino, Korean, and Latino Americans: The Digital Link to Health Survey

Digital Technology Ownership, Usage, and Factors Predicting Downloading Health Apps Among Caucasian, Filipino, Korean, and Latino Americans: The Digital Link to Health Survey

Digital Technology Ownership, Usage, and Factors Predicting Downloading Health Apps Among Caucasian, Filipino, Korean, and Latino Americans: The Digital Link to Health Survey

Journals

  1. Nittas V, Mütsch M, Puhan M. Preferences for Sun Protection With a Self-Monitoring App: Protocol of a Discrete Choice Experiment Study. JMIR Research Protocols 2020;9(2):e16087 View
  2. Sarkar U, Gourley G, Lyles C, Tieu L, Clarity C, Newmark L, Singh K, Bates D. Usability of Commercially Available Mobile Applications for Diverse Patients. Journal of General Internal Medicine 2016;31(12):1417 View
  3. Ramirez V, Johnson E, Gonzalez C, Ramirez V, Rubino B, Rossetti G. Assessing the Use of Mobile Health Technology by Patients: An Observational Study in Primary Care Clinics. JMIR mHealth and uHealth 2016;4(2):e41 View
  4. Morey S, Stuck R, Chong A, Barg-Walkow L, Mitzner T, Rogers W. Mobile Health Apps: Improving Usability for Older Adult Users. Ergonomics in Design: The Quarterly of Human Factors Applications 2019;27(4):4 View
  5. Adu M, Malabu U, Malau-Aduli A, Malau-Aduli B, Borsci S. Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives. PLOS ONE 2018;13(12):e0208942 View
  6. Aswani A, Kaminsky P, Mintz Y, Flowers E, Fukuoka Y. Behavioral modeling in weight loss interventions. European Journal of Operational Research 2019;272(3):1058 View
  7. MacPherson M, Merry K, Locke S, Jung M. Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(9):e12956 View
  8. Bommakanti K, Smith L, Liu L, Do D, Cuevas-Mota J, Collins K, Munoz F, Rodwell T, Garfein R. Requiring smartphone ownership for mHealth interventions: who could be left out?. BMC Public Health 2020;20(1) View
  9. Antman E, Benjamin E, Harrington R, Houser S, Peterson E, Bauman M, Brown N, Bufalino V, Califf R, Creager M, Daugherty A, Demets D, Dennis B, Ebadollahi S, Jessup M, Lauer M, Lo B, MacRae C, McConnell M, McCray A, Mello M, Mueller E, Newburger J, Okun S, Packer M, Philippakis A, Ping P, Prasoon P, Roger V, Singer S, Temple R, Turner M, Vigilante K, Warner J, Wayte P. Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape. Journal of the American Heart Association 2015;4(11) View
  10. Bender M, Santos G, Villanueva C, Arai S. Development of a Mobile Phone-Based Weight Loss Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Protocol and Early Results From the PilAm Go4Health Randomized Controlled Trial. JMIR Research Protocols 2016;5(3):e178 View
  11. Desai T, Yee J, Soman S. Smartphone Apps: A Patient’s New Best Friend?. Clinical Journal of the American Society of Nephrology 2016;11(6):935 View
  12. DeHoff B, Staten L, Rodgers R, Denne S. The Role of Online Social Support in Supporting and Educating Parents of Young Children With Special Health Care Needs in the United States: A Scoping Review. Journal of Medical Internet Research 2016;18(12):e333 View
  13. Gehris R, Herman E. Pediatric Teledermatology: a Review. Current Dermatology Reports 2020;9(2):114 View
  14. Ali E, Leow J, Chew L, Yap K. Patients’ Perception of App-based Educational and Behavioural Interventions for Enhancing Oral Anticancer Medication Adherence. Journal of Cancer Education 2018;33(6):1306 View
  15. Chérrez-Ojeda I, Vanegas E, Calero E, Plaza K, Cano J, Calderon J, Valdano J, Gutierrez J, Guevara J. What Kind of Information and Communication Technologies Do Patients with Type 2 Diabetes Mellitus Prefer? An Ecuadorian Cross-Sectional Study. International Journal of Telemedicine and Applications 2018;2018:1 View
  16. Cornejo Müller A, Wachtler B, Lampert T. Digital Divide – Soziale Unterschiede in der Nutzung digitaler Gesundheitsangebote. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(2):185 View
  17. Tatara N, Hammer H, Andreassen H, Mirkovic J, Kjøllesdal M. The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance 2017;3(4):e68 View
  18. Garabedian L, Ross-Degnan D, Wharam J. Mobile Phone and Smartphone Technologies for Diabetes Care and Self-Management. Current Diabetes Reports 2015;15(12) View
  19. Duarte C, Pittman S, Thorsen M, Cunningham R, Ranney M. Correlation of Minority Status, Cyberbullying, and Mental Health: A Cross-Sectional Study of 1031 Adolescents. Journal of Child & Adolescent Trauma 2018;11(1):39 View
  20. Fukuoka Y, Choi J, S. Bender M, Gonzalez P, Arai S. Family history and body mass index predict perceived risks of diabetes and heart attack among community-dwelling Caucasian, Filipino, Korean, and Latino Americans—DiLH Survey. Diabetes Research and Clinical Practice 2015;109(1):157 View
  21. 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
  22. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513 View
  23. Flaherty S, McCarthy M, Collins A, McAuliffe F. A different perspective on consumer engagement: exploring the experience of using health apps to support healthier food purchasing. Journal of Marketing Management 2019;35(3-4):310 View
  24. Huang G, Ren Y. Linking technological functions of fitness mobile apps with continuance usage among Chinese users: Moderating role of exercise self-efficacy. Computers in Human Behavior 2020;103:151 View
  25. Lindeman D, Kim K, Gladstone C, Apesoa-Varano E, Hepburn K. Technology and Caregiving: Emerging Interventions and Directions for Research. The Gerontologist 2020;60(Supplement_1):S41 View
  26. Conway N, Campbell I, Forbes P, Cunningham S, Wake D. mHealth applications for diabetes: User preference and implications for app development. Health Informatics Journal 2016;22(4):1111 View
  27. Early J, Gonzalez C, Gordon-Dseagu V, Robles-Calderon L. Use of Mobile Health (mHealth) Technologies and Interventions Among Community Health Workers Globally: A Scoping Review. Health Promotion Practice 2019;20(6):805 View
  28. Aswani A, Kaminsky P, Mintz Y, Flowers E, Fukuoka Y. Behavioral Modeling in Weight Loss Interventions. SSRN Electronic Journal 2016 View
  29. König L, Sproesser G, Schupp H, Renner B. Describing the Process of Adopting Nutrition and Fitness Apps: Behavior Stage Model Approach. JMIR mHealth and uHealth 2018;6(3):e55 View
  30. 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
  31. Dempsey A, Maertens J, Beaty B, O'Leary S. Understanding How Different Recruitment Strategies Impact Parent Engagement With an iPad-Based Intervention to Provide Personalized Information About Adolescent Vaccines. Journal of Adolescent Health 2015;56(5):S7 View
  32. Dalton J, Rodger D, Wilmore M, Humphreys S, Skuse A, Roberts C, Clifton V, Beiki O. The Health-e Babies App for antenatal education: Feasibility for socially disadvantaged women. PLOS ONE 2018;13(5):e0194337 View
  33. Tatara N, Kjøllesdal M, Mirkovic J, Andreassen H. eHealth Use Among First-Generation Immigrants From Pakistan in the Oslo Area, Norway, With Focus on Diabetes: Survey Protocol. JMIR Research Protocols 2016;5(2):e79 View
  34. Fiks A, Fleisher L, Berrigan L, Sykes E, Mayne S, Gruver R, Halkyard K, Jew O, 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 View
  35. Tatara N, Hammer H, Mirkovic J, Kjøllesdal M, Andreassen H. Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway. JMIR Public Health and Surveillance 2019;5(3):e11998 View
  36. Kim K, Lee C, Hornik R. Exploring the Effect of Health App Use on Fruit and Vegetable Consumption. Journal of Health Communication 2020;25(4):283 View
  37. de Vries S, Denig P, Lasheras Ruiz C, Houÿez F, Wong L, Sutcliffe A, Mol P. Interest in a Mobile App for Two-Way Risk Communication: A Survey Study Among European Healthcare Professionals and Patients. Drug Safety 2018;41(7):697 View
  38. Twis M, Miller V, Cronley C, Fields N. Collecting qualitative data through mobile applications: A multiple case study report. Journal of Technology in Human Services 2020;38(1):38 View
  39. Lattie E, Nicholas J, Knapp A, Skerl J, Kaiser S, Mohr D. Opportunities for and Tensions Surrounding the Use of Technology-Enabled Mental Health Services in Community Mental Health Care. Administration and Policy in Mental Health and Mental Health Services Research 2020;47(1):138 View
  40. Iskander M, Lou J, Wells M, Scarbecz M. A poster and a mobile healthcare application as information tools for dental trauma management. Dental Traumatology 2016;32(6):457 View
  41. Bender M, Cooper B, Park L, Padash S, Arai S. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial. JMIR Diabetes 2017;2(2):e30 View
  42. Scheerder A, van Deursen A, van Dijk J. Determinants of Internet skills, uses and outcomes. A systematic review of the second- and third-level digital divide. Telematics and Informatics 2017;34(8):1607 View
  43. Nebeker C, Murray K, Holub C, Haughton J, Arredondo E. Acceptance of Mobile Health in Communities Underrepresented in Biomedical Research: Barriers and Ethical Considerations for Scientists. JMIR mHealth and uHealth 2017;5(6):e87 View
  44. Garabedian L, Ross-Degnan D, LeCates R, Wharam J. Uptake and use of a diabetes management program with a mobile glucometer. Primary Care Diabetes 2019;13(6):549 View
  45. Yaya S, Ghose B, Federici S. Patterns of computer and Internet use and its association with HIV knowledge in selected countries in sub-Saharan Africa. PLOS ONE 2018;13(6):e0199236 View
  46. Cahan E, Mittal V, Shah N, Thadaney-Israni S. Achieving a Quintuple Aim for Telehealth in Pediatrics. Pediatric Clinics of North America 2020;67(4):683 View
  47. Stühmann L, Paprott R, Heidemann C, Baumert J, Hansen S, Zahn D, Scheidt-Nave C, Gellert P. Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey. JMIR Diabetes 2020;5(2):e14396 View
  48. Cherrez Ojeda I, Calderon J, Jove O, Guerreros A, Plaza K, Cano J, Vanegas E, Felix M, Mata V, Calero E, Cherrez A, Simancas-Racines D. What kind of information and communication technologies do patients with COPD prefer to use? A cross-sectional study in Latin America. Chronic Respiratory Disease 2018;15(3):286 View
  49. Szinay D, Jones A, Chadborn T, Brown J, Naughton F. Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review. Journal of Medical Internet Research 2020;22(5):e17572 View
  50. Li C, Neugroschl J, Zhu C, Aloysi A, Schimming C, Cai D, Grossman H, Martin J, Sewell M, Loizos M, Zeng X, Sano M. Design Considerations for Mobile Health Applications Targeting Older Adults. Journal of Alzheimer's Disease 2021;79(1):1 View
  51. Makowsky M, Jones C, Davachi S. Prevalence and Predictors of Health-Related Internet and Digital Device Use in a Sample of South Asian Adults in Edmonton, Alberta, Canada: Results From a 2014 Community-Based Survey. JMIR Public Health and Surveillance 2021;7(1):e20671 View
  52. Onyeaka H, Romero P, Healy B, Celano C. Age Differences in the Use of Health Information Technology Among Adults in the United States: An Analysis of the Health Information National Trends Survey. Journal of Aging and Health 2021;33(1-2):147 View
  53. Kim K, Lee C. Examining an Integrative Cognitive Model of Predicting Health App Use: Longitudinal Observational Study. JMIR mHealth and uHealth 2021;9(2):e24539 View
  54. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  55. Chin W, Kurowski A, Gore R, Chen G, Punnett L. Usability and Usage of a Mobile App for Process Evaluation of an Intervention in Healthcare: A Developmental Study (Preprint). JMIR Formative Research 2020 View
  56. Flaherty S, McCarthy M, Collins A, McCafferty C, McAuliffe F. Exploring engagement with health apps: the emerging importance of situational involvement and individual characteristics. European Journal of Marketing 2021;55(13):122 View
  57. Gouda P, Ganni E, Chung P, Randhawa V, Marquis-Gravel G, Avram R, Ezekowitz J, Sharma A. Feasibility of Incorporating Voice Technology and Virtual Assistants in Cardiovascular Care and Clinical Trials. Current Cardiovascular Risk Reports 2021;15(8) View
  58. Hopfer S, Duong H, Garcia S, Tanjasiri S. Health Information Source Characteristics Matter: Adapting the Dissemination of an HPV Vaccine Intervention to Reach Latina and Vietnamese Women. The Journal of Primary Prevention 2021 View

Books/Policy Documents

  1. Taylor M. The Obesity Epidemic. View