Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26764, first published .
Benefits of mHealth Co-design for African American and Hispanic Adults: Multi-Method Participatory Research for a Health Information App

Benefits of mHealth Co-design for African American and Hispanic Adults: Multi-Method Participatory Research for a Health Information App

Benefits of mHealth Co-design for African American and Hispanic Adults: Multi-Method Participatory Research for a Health Information App

Journals

  1. Kwan Y, Ong Z, Choo D, Phang J, Yoon S, Low L. A Mobile Application to Improve Diabetes Self-Management Using Rapid Prototyping: Iterative Co-Design Approach in Asian Settings. Patient Preference and Adherence 2023;Volume 17:1 View
  2. Brunelli L, Bussolaro S, Dobrina R, De Vita C, Mazzolini E, Verardi G, Degrassi M, Piazza M, Cassone A, Starec A, Ricci G, Zanchiello S, Stampalija T. Exploring the Needs and Expectations of Expectant and New Parents for an mHealth Application to Support the First 1000 Days of Life: Steps toward a Co-Design Approach. International Journal of Environmental Research and Public Health 2023;20(2):1227 View
  3. Lyles C, Nguyen O, Khoong E, Aguilera A, Sarkar U. Multilevel Determinants of Digital Health Equity: A Literature Synthesis to Advance the Field. Annual Review of Public Health 2023;44(1):383 View
  4. Haro-Ramos A, Rodriguez H, Aguilera A. Effectiveness and implementation of a text messaging intervention to reduce depression and anxiety symptoms among Latinx and Non-Latinx white users during the COVID-19 pandemic. Behaviour Research and Therapy 2023;165:104318 View
  5. Liverpool S, Eisenstadt M, Mulligan Smith A, Kozhevnikova S. An App to Support Fathers’ Mental Health and Well-Being: User-Centered Development Study. JMIR Formative Research 2023;7:e47968 View
  6. Williamson B, Coley R, Hsu C, McCracken C, Cook A. Considerations for Subgroup Analyses in Cluster-Randomized Trials Based on Aggregated Individual-Level Predictors. Prevention Science 2024;25(S3):421 View
  7. Mehmood A, Barnett D, Kang B, Chhipa U, Asad N, Afzal B, Razzak J. Enhancing a Willingness to Respond to Disasters and Public Health Emergencies Among Health Care Workers, Using mHealth Intervention: A Multidisciplinary Approach. Disaster Medicine and Public Health Preparedness 2023;17 View
  8. Hernandez-Green N, Davis M, Farinu O, Hernandez-Spalding K, Lewis K, Beshara M, Francis S, Baker L, Byrd S, Parker A, Chandler R. Using mHealth to reduce disparities in Black maternal health: Perspectives from Black rural postpartum mothers. Women's Health 2024;20 View
  9. Khan S. Cardiovascular Disease Prevention With mHealth Innovations: Transforming Wellness Through Wireless. Circulation: Cardiovascular Quality and Outcomes 2024;17(7) View
  10. Bucher A, Chaudhry B, Davis J, Lawrence K, Panza E, Baqer M, Feinstein R, Fields S, Huberty J, Kaplan D, Kusters I, Materia F, Park S, Kepper M, Kuo P. How to design equitable digital health tools: A narrative review of design tactics, case studies, and opportunities. PLOS Digital Health 2024;3(8):e0000591 View