Published on in Vol 5, No 12 (2017): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/7832, first published .
Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status

Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status

Health App Use Among US Mobile Phone Users: Analysis of Trends by Chronic Disease Status

Journals

  1. Marrie R, Leung S, Tyry T, Cutter G, Fox R, Salter A. Use of eHealth and mHealth technology by persons with multiple sclerosis. Multiple Sclerosis and Related Disorders 2019;27:13 View
  2. Wilson K, Bell C, Wilson L, Witteman H. Agile research to complement agile development: a proposal for an mHealth research lifecycle. npj Digital Medicine 2018;1(1) View
  3. Byambasuren O, Beller E, Hoffmann T, Glasziou P. Barriers to and Facilitators of the Prescription of mHealth Apps in Australian General Practice: Qualitative Study. JMIR mHealth and uHealth 2020;8(7):e17447 View
  4. Li J, Chang X. Improving mobile health apps usage: a quantitative study on mPower data of Parkinson's disease. Information Technology & People 2021;34(1):399 View
  5. Huang C, Chen S, Tang C, Huang H. A trade-off dual-factor model to investigate discontinuous intention of health app users: From the perspective of information disclosure. Journal of Biomedical Informatics 2019;100:103302 View
  6. Schmidt-Kraepelin M, Toussaint P, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280 View
  7. Böhm A, Jensen M, Sørensen M, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212 View
  8. Bt Wan Mohamed Radzi C, Salarzadeh Jenatabadi H, Samsudin N. mHealth Apps Assessment among Postpartum Women with Obesity and Depression. Healthcare 2020;8(2):72 View
  9. Dantas L, Weber S, Osani M, Bannuru R, McAlindon T, Kasturi S. Mobile health technologies for the management of systemic lupus erythematosus: a systematic review. Lupus 2020;29(2):144 View
  10. Sill J, Steenbock B, Helmer S, Zeeb H, Pischke C. Apps zur Förderung von körperlicher Aktivität – Nutzung und Einstellungen bei Erwachsenen im Alter von 50 Jahren und älter. Prävention und Gesundheitsförderung 2019;14(2):109 View
  11. 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 View
  12. Cho J, Kim S. Personal and social predictors of use and non-use of fitness/diet app: Application of Random Forest algorithm. Telematics and Informatics 2020;55:101301 View
  13. Siqueira do Prado L, Carpentier C, Preau M, Schott A, Dima A. Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation. JMIR mHealth and uHealth 2019;7(8):e13494 View
  14. Chen D, Zhu L, Lin X, Hong Z, Li S, Liu L, Zhou D. Epilepsy control during an epidemic: emerging approaches and a new management framework. Acta Epileptologica 2020;2(1) View
  15. Cavero-Redondo I, Martinez-Vizcaino V, Fernandez-Rodriguez R, Saz-Lara A, Pascual-Morena C, Álvarez-Bueno C. Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis. Nutrients 2020;12(7):1977 View
  16. Bauer M, Glenn T, Geddes J, Gitlin M, Grof P, Kessing L, Monteith S, Faurholt-Jepsen M, Severus E, Whybrow P. Smartphones in mental health: a critical review of background issues, current status and future concerns. International Journal of Bipolar Disorders 2020;8(1) View
  17. Mahmood A, Kedia S, Wyant D, Ahn S, Bhuyan S. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. DIGITAL HEALTH 2019;5 View
  18. Huberty J, Eckert R, Puzia M, Laird B, Larkey L, Mesa R. A Novel Educational Control Group Mobile App for Meditation Interventions: Single-Group Feasibility Trial. JMIR Formative Research 2020;4(7):e19364 View
  19. Biebl J, Huber S, Rykala M, Kraft E, Lorenz A. Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study. JMIR mHealth and uHealth 2020;8(10):e21704 View
  20. 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
  21. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  22. Zahed K, Sasangohar F, Mehta R, Erraguntla M, Lawley M, Qaraqe K. Investigating the Efficacy of Using Hand Tremors for Early Detection of Hypoglycemic Events: A Scoping Literature Review. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018;62(1):1211 View
  23. Baretta D, Perski O, Steca P. Exploring Users’ Experiences of the Uptake and Adoption of Physical Activity Apps: Longitudinal Qualitative Study. JMIR mHealth and uHealth 2019;7(2):e11636 View
  24. Kukafka R. Digital Health Consumers on the Road to the Future. Journal of Medical Internet Research 2019;21(11):e16359 View
  25. Rafiullah M, David S. Health apps usage and preferences among Saudi patients with diabetes: A survey. International Journal of Clinical Practice 2019;73(5):e13345 View
  26. Oakley-Girvan I, Lavista J, Miller Y, Davis S, Acle C, Hancock J, Nelson L. Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study. JMIR Formative Research 2019;3(1):e10246 View
  27. Langford A, Solid C, Scott E, Lad M, Maayan E, Williams S, Seixas A. Mobile Phone Ownership, Health Apps, and Tablet Use in US Adults With a Self-Reported History of Hypertension: Cross-Sectional Study. JMIR mHealth and uHealth 2019;7(1):e12228 View
  28. Flitcroft L, Chen W, Meyer D. The Demographic Representativeness and Health Outcomes of Digital Health Station Users: Longitudinal Study. Journal of Medical Internet Research 2020;22(6):e14977 View
  29. Huckvale K, Nicholas J, Torous J, Larsen M. Smartphone apps for the treatment of mental health conditions: status and considerations. Current Opinion in Psychology 2020;36:65 View
  30. Grassl N, Nees J, Schramm K, Spratte J, Sohn C, Schott T, 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 View
  31. Ifejika N, Bhadane M, Cai C, Noser E, Grotta J, Savitz S. Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point. JMIR mHealth and uHealth 2020;8(4):e17816 View
  32. Madrigal L, Escoffery C. Electronic Health Behaviors Among US Adults With Chronic Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2019;21(3):e11240 View
  33. Tarricone R, Cucciniello M, Armeni P, Petracca F, Desouza K, Hall L, Keefe D. Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey. JMIR mHealth and uHealth 2019;7(9):e13584 View
  34. Collado-Borrell R, Escudero-Vilaplana V, Calles A, Garcia-Martin E, Marzal-Alfaro B, Gonzalez-Haba E, Herranz-Alonso A, Sanjurjo-Saez M. Oncology Patient Interest in the Use of New Technologies to Manage Their Disease: Cross-Sectional Survey. Journal of Medical Internet Research 2018;20(10):e11006 View
  35. Chiauzzi E, Newell A. Mental Health Apps in Psychiatric Treatment: A Patient Perspective on Real World Technology Usage. JMIR Mental Health 2019;6(4):e12292 View
  36. Soeiro A, Leal T, Bossa A, Soeiro M, Serrano Jr C, Oliveira Jr M. CardioER® - Using smartphone medical applications as an aid to clinical decision-making – are we ready for this?. Revista da Associação Médica Brasileira 2018;64(8):658 View
  37. Alwashmi M, Fitzpatrick B, Farrell J, Gamble J, Davis E, Nguyen H, 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 View
  38. Maisonneuve A, Witteman H, Brehaut J, Dubé È, Wilson K. Educating children and adolescents about vaccines: a review of current literature. Expert Review of Vaccines 2018;17(4):311 View
  39. Rising C, Jensen R, Moser R, Oh A. Characterizing the US Population by Patterns of Mobile Health Use for Health and Behavioral Tracking: Analysis of the National Cancer Institute's Health Information National Trends Survey Data. Journal of Medical Internet Research 2020;22(5):e16299 View
  40. Jake-Schoffman D, McVay M. Using the Design Sprint process to enhance and accelerate behavioral medicine progress: a case study and guidance. Translational Behavioral Medicine 2021;11(5):1099 View
  41. North M, Bourne S, Green B, Chauhan A, Brown T, Winter J, Jones T, Neville D, Blythin A, Watson A, Johnson M, Culliford D, Elkes J, Cornelius V, Wilkinson T. A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial. npj Digital Medicine 2020;3(1) View
  42. Issom D, Hardy-Dessources M, Romana M, Hartvigsen G, Lovis C. Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study. Frontiers in Digital Health 2021;3 View
  43. Brault N, Saxena M. For a critical appraisal of artificial intelligence in healthcare: The problem of bias in mHealth. Journal of Evaluation in Clinical Practice 2021;27(3):513 View
  44. Camacho-Rivera M, Rice S, Oh S, Paris M, Akpara E, Molina J, Obadina M, Mcmillan S, Aracena J, Morency J, Muniz R, Gany F, Brown C, Gonsky J, Osborne J. Cancer Health Impact Program (CHIP): Identifying Social and Demographic Associations of mHealth Access and Cancer Screening Behaviors Among Brooklyn, New York, Residents. Cancer Epidemiology Biomarkers & Prevention 2019;28(3):478 View
  45. Crump C, Wernz C, Schlachta-Fairchild L, Steidle E, Duncan A, Cathers L. Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes. Telemedicine and e-Health 2021;27(9):1029 View
  46. Langarizadeh M, Sadeghi M, As’habi A, Rahmati P, Sheikhtaheri A. Mobile apps for weight management in children and adolescents; An updated systematic review. Patient Education and Counseling 2021;104(9):2181 View
  47. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  48. Qan’ir Y, Khalifeh A, Eid M, Hammad B, Al-Batran M. Mobile health apps use among Jordanian outpatients: A descriptive study. Health Informatics Journal 2021;27(2) View
  49. Sneha S, Thalla S, Rischie I, Shahriar H. Health Internet Technology for Chronic Conditions: Review of Diabetes Management Apps. JMIR Diabetes 2021;6(3):e17431 View
  50. Bevens W, Gray K, Neate S, Nag N, Weiland T, Jelinek G, Simpson-Yap S. Characteristics of mHealth app use in an international sample of people with multiple sclerosis. Multiple Sclerosis and Related Disorders 2021;54:103092 View
  51. Steare T, Giorgalli M, Free K, Harju-Seppänen J, Akther S, Eskinazi M, O’Hanlon P, Rostill H, Amani S, Lloyd-Evans B, Osborn D, Johnson S. A qualitative study of stakeholder views on the use of a digital app for supported self-management in early intervention services for psychosis. BMC Psychiatry 2021;21(1) View
  52. Tobias G, Spanier A. Using an mHealth App (iGAM) to Reduce Gingivitis Remotely (Part 2): Prospective Observational Study. JMIR mHealth and uHealth 2021;9(9):e24955 View
  53. Mata-Greve F, Johnson M, Pullmann M, Friedman E, Griffith Fillipo I, Comtois K, Arean P. Mental Health and the Perceived Usability of Digital Mental Health Tools Among Essential Workers and People Unemployed Due to COVID-19: Cross-sectional Survey Study. JMIR Mental Health 2021;8(8):e28360 View
  54. Hogan T, Etingen B, Lipschitz J, Shimada S, McMahon N, Bolivar D, Bixler F, Irvin D, Wacks R, Cutrona S, Frisbee K, Smith B. Factors Associated With Self-reported Use of Web and Mobile Health Apps Among US Military Veterans: Cross-sectional Survey. JMIR mHealth and uHealth 2022;10(12):e41767 View
  55. Khadam S, Chu T, Deekes N, FitzGerald D, Preston A, Duncan N. An investigation of the use of app technology to support clinical management of patients with chronic myeloid leukaemia (CML). Journal of Oncology Pharmacy Practice 2023;29(5):1083 View
  56. Al Ansari F, Alfayez A, Alsalman D, Alanezi F, Alhodaib H, Al-Rayes S, Aljabri D, Alrawiai S, Alakrawi Z, Saadah A, Al-Juwair M, Aljaffary A, AlThani B, Mushcab H, Alanzi T, AlNujaidi H, Al-Saif A, Attar R, Alumran A, Al-Mubarak S, Alyousef S. Using mobile health applications to enhance physical activity in Saudi Arabia: a cross-sectional study on users’ perceptions. International Health 2023;15(1):47 View
  57. Buhr L, Kaufmann P, Jörß K. Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study. JMIR Cardio 2022;6(2):e34959 View
  58. Buhr L, Schicktanz S, Nordmeyer E. Attitudes Toward Mobile Apps for Pandemic Research Among Smartphone Users in Germany: National Survey. JMIR mHealth and uHealth 2022;10(1):e31857 View
  59. Lin I, Chen Y, Chuang L. Test-Retest Reliability of Home-Based Fitness Assessments Using a Mobile App (R Plus Health) in Healthy Adults: Prospective Quantitative Study. JMIR Formative Research 2021;5(12):e28040 View
  60. Coughlin J, Martin L, Zhao D, Goheer A, Woolf T, Holzhauer K, Lehmann H, Lent M, McTigue K, Clark J, Bennett W. Electronic Health Record–Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study. Journal of Medical Internet Research 2022;24(6):e34191 View
  61. MOUKADDAM N, TRUONG A, CAO J, SHAH A, SABHARWAL A. Findings From a Trial of the Smartphone and OnLine Usage-based eValuation for Depression (SOLVD) Application: What Do Apps Really Tell Us About Patients with Depression? Concordance Between App-Generated Data and Standard Psychiatric Questionnaires for Depression and Anxiety. Journal of Psychiatric Practice 2019;25(5):365 View
  62. Wu C, Huang C, Wang Y, Islam M, Kung W, Weng Y, Su C. mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis. Journal of Medical Internet Research 2022;24(6):e35747 View
  63. Ma L, Zhao X, Zhou Z. The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis. Behaviour & Information Technology 2024;43(2):246 View
  64. Buss V, Varnfield M, Harris M, Barr M. Mobile Health Use by Older Individuals at Risk of Cardiovascular Disease and Type 2 Diabetes Mellitus in an Australian Cohort: Cross-sectional Survey Study. JMIR mHealth and uHealth 2022;10(9):e37343 View
  65. Ogunsanya M, Sifat M, Bamidele O, Ezenwankwo E, Clifton S, Ton C, Knight J, Odedina F, Greer J, Dwyer K, Kendzor D. Mobile health (mHealth) interventions in prostate cancer survivorship: a scoping review. Journal of Cancer Survivorship 2023;17(3):557 View
  66. Brenk-Franz K, Leonhardt L, Strauß B. Attachment and patient activation as predictors of the interest and use of telemedical health applications –results of an observational study in primary health care. BMC Primary Care 2022;23(1) View
  67. McVay M, Cooper K, Donahue M, Seoane M, Shah N, Webb F, Perri M, Jake‐Schoffman D. Engaging primary care patients with existing online tools for weight loss: A pilot trial. Obesity Science & Practice 2022;8(5):569 View
  68. Scanferla W, Oliveira C, Lousada M, Teixeira L. The Usability and Acceptability of the mHealth “Health and Voice” for Promoting Teachers' Vocal Health. Journal of Voice 2023 View
  69. Pannard M, Leroy T, Escriva-Boulley G, Bernetière C, Desfriches O, Paquienséguy F, Préau M. Rôle des émotions et représentations dans le recours à la m-health chez les membres d’une communauté d’intérêt en ligne en lien avec le cancer, les Seintinelles. Bulletin du Cancer 2022;109(10):1040 View
  70. Yan X, Dunne D, Impey S, Cunniffe B, Lefevre C, Mazorra R, Morton J, Tod D, Close G, Murphy R, Chakraborty B. A pilot sequential multiple assignment randomized trial (SMART) protocol for developing an adaptive coaching intervention around a mobile application for athletes to improve carbohydrate periodization behavior. Contemporary Clinical Trials Communications 2022;26:100899 View
  71. Jones A, Grout L, Wilson N, Nghiem N, Cleghorn C. The Cost-effectiveness of a Mass Media Campaign to Promote Smartphone Apps for Weight Loss: Updated Modeling Study. JMIR Formative Research 2022;6(4):e29291 View
  72. Alaslawi H, Berrou I, Al Hamid A, Alhuwail D, Aslanpour Z. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda. JMIR Diabetes 2022;7(3):e28153 View
  73. Kim E, Han S. Determinants of Continuance Intention to Use Health Apps among Users over 60: A Test of Social Cognitive Model. International Journal of Environmental Research and Public Health 2021;18(19):10367 View
  74. Ding M, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2024;40(10):2560 View
  75. Watson A, Wilkinson T. Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research. Therapeutic Advances in Respiratory Disease 2022;16 View
  76. Fu S, Fang J, Cai Z, Lim E, Tan C, Yang H. Advancing health-related abilities and behaviors via health apps: a large-scale survey from self-regulation perspective. Internet Research 2022;32(4):1097 View
  77. Grundy Q. A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117 View
  78. Greer D, Abel W. Exploring Feasibility of mHealth to Manage Hypertension in Rural Black Older Adults: A Convergent Parallel Mixed Method Study. Patient Preference and Adherence 2022;Volume 16:2135 View
  79. Cooper R, Giangreco A, Duffy M, Finlayson E, Hamilton S, Swanson M, Colligan J, Gilliatt J, McIvor M, Sage E. Evaluation of myCOPD Digital Self-management Technology in a Remote and Rural Population: Real-world Feasibility Study. JMIR mHealth and uHealth 2022;10(2):e30782 View
  80. Syed F, Hassan M, Shehzad A, Koul S, Arif M, Dewey R, Khaliq T. The establishment of a telemedicine center during the COVID-19 pandemic at a tertiary care hospital in Pakistan. Clinical eHealth 2021;4:50 View
  81. Kubb C, Foran H. Online Health Information Seeking for Self and Child: An Experimental Study of Parental Symptom Search. JMIR Pediatrics and Parenting 2022;5(2):e29618 View
  82. Gosak L, Pajnkihar M, Stiglic G. The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(6):e31652 View
  83. Nicol G, Jansen M, Ricchio A, Schweiger J, Keenoy K, Miller J, Morrato E, Guo Z, Evanoff B, Parks J, Newcomer J. Adaptation of a Mobile Interactive Obesity Treatment Approach for Early Severe Mental Illness: Protocol for a Mixed Methods Implementation and Pilot Randomized Controlled Trial. JMIR Research Protocols 2023;12:e42114 View
  84. Rozier M, Scroggins S, Loux T, Shacham E. Personal Location as Health-Related Data: Public Knowledge, Public Concern, and Personal Action. Value in Health 2023;26(9):1314 View
  85. Bo Y, Liu Q, Tong Y. The Effects of Adopting Mobile Health and Fitness Apps on Hospital Visits: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e45681 View
  86. Mora N, Arvanitakis Z, Thomas M, Kramer H, Morrato E, Markossian T. Applying Customer Discovery Method to a Chronic Disease Self-Management Mobile App: Qualitative Study. JMIR Formative Research 2023;7:e50334 View
  87. Praha N, Sriyuktasuth A, Puwarawuttipanit W, Chuengsaman P, Kusakunniran W. Factors Influencing Telehealth Service Use and Health Outcomes in Patients Undergoing Continuous Ambulatory Peritoneal Dialysis: Cross-Sectional Study. Journal of Medical Internet Research 2023;25:e48623 View
  88. Shaw Jr G, Castro B, Gunn L, Norris K, Thorpe Jr R. The Association of eHealth Literacy Skills and mHealth Application Use Among US Adults With Obesity: Analysis of Health Information National Trends Survey Data. JMIR mHealth and uHealth 2024;12:e46656 View
  89. Fan S, Jain R, Kankanhalli M. A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications. ACM Transactions on Computing for Healthcare 2024;5(1):1 View
  90. He Y, Zhu W, Wang T, Chen H, Xin J, Liu Y, Lei J, Liang J. Mining User Reviews From Hypertension Management Mobile Health Apps to Explore Factors Influencing User Satisfaction and Their Asymmetry: Comparative Study. JMIR mHealth and uHealth 2024;12:e55199 View
  91. Binks P, Venkatesan S, Everitt A, Gurruwiwi G, Dhurrkay R, Bukulatjpi S, Ross C, Alley T, Hosking K, Vintour-Cesar E, McKinnon M, Sullivan R, Davis J, Hefler M, Davies J. An evaluation and refinement of the “Hep B Story” app, tailored to meet the community’s cultural needs. BMC Health Services Research 2024;24(1) View
  92. He Y, Chen H, Xiang P, Zhao M, Li Y, Liu Y, Wang T, Liang J, Lei J. Establishing an Evaluation Indicator System for User Satisfaction With Hypertension Management Apps: Combining User-Generated Content and Analytic Hierarchy Process. Journal of Medical Internet Research 2024;26:e60773 View
  93. Ahmad A, Gnanasan S, Karuppannan M, Gholamzadeh M. Embracing telepharmacy: Unveiling Malaysians’ perceptions and knowledge through online survey. PLOS ONE 2024;19(8):e0307897 View
  94. O'Rourke B, Zhao Q, Dayán-Fernández A, Dickson E, Wang R, Wang M, Zhang L, Imran M. Integrated geospatial methods for multilingual cities: Combining GPS, electronically activated recorder, and map-based ethnographic interviews. Research Methods in Applied Linguistics 2024;3(3):100147 View
  95. Ozaki I, Nishijima M, Shibata E, Zako Y, Chiang C. Factors Related to mHealth App Use Among Japanese Workers: Cross-Sectional Survey. JMIR Human Factors 2024;11:e54673 View
  96. Chow E, Virani A, Pinkney S, Abdulhussein F, van Rooij T, Görges M, Wasserman W, Bone J, Longstaff H, Amed S. Caregiver and Youth Characteristics That Influence Trust in Digital Health Platforms in Pediatric Care: Mixed Methods Study. Journal of Medical Internet Research 2024;26:e53657 View
  97. Ezeigwe O, Nwosu K, Afolayan O, Ojaruega A, Echere J, Desai M, Onigbogi M, Oladoyin O, Okoye N, Fwelo P. Technological-Based Interventions in Cancer: Factors Associated with the Use of Mobile Digital Wellness and Health Apps Among Cancer Information Seekers- A Cross-sectional Study (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Wickramasinghe N. Handbook of Research on Optimizing Healthcare Management Techniques. View
  2. Edmunds M, Hass C, Holve E. Consumer Informatics and Digital Health. View
  3. Sonnet E. Handbook of Diabetes Technology. View
  4. Smith S, Seewald N, Klasnja P. Digital Therapeutics for Mental Health and Addiction. View
  5. Mars M, Scott R. Integrity of Scientific Research. View
  6. Keshavjee K, Johnston-Jewell D, Lee B, Kyba R. Smart and Pervasive Healthcare. View
  7. Issom D. Sickle Cell Disease. View
  8. Saprikis V, Vlachopoulou M. Operational Research in the Era of Digital Transformation and Business Analytics. View
  9. Rubeis G. Ethics of Medical AI. View