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

Evaluation and Research Methodology for mHealth (193) Usability of Apps and User Perceptions of mHealth (892) Mobile Health and Apps for Maternal and Child Health (127)

Published on in Vol 8, No 1 (2020): January

Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study

Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study

Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study

Authors of this article:

Rizwana Biviji1 Author Orcid Image ;   Joshua R Vest2, 3 Author Orcid Image ;   Brian E Dixon3, 4 Author Orcid Image ;   Theresa Cullen3 Author Orcid Image ;   Christopher A Harle2, 3 Author Orcid Image
Article Authors Cited by (32) Tweetations (28) Metrics

Journals

  1. Biviji R, Vest J, Dixon B, Cullen T, Harle C. Content analysis of behavior change techniques in maternal and infant health apps. Translational Behavioral Medicine 2021;11(2):504 View
  2. Trahan M, Schneider L, Hernandez D. Mobile Applications for Low-Income U.S. Fathers: A Systematic Review of Content, Comprehensiveness and User Ratings. Journal of Technology in Human Services 2021;39(2):111 View
  3. Aydin G, Silahtaroglu G, Khan F. Insights into mobile health application market via a content analysis of marketplace data with machine learning. PLOS ONE 2021;16(1):e0244302 View
  4. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  5. Bustamante L, Gill Ménard C, Julien S, Romo L. Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis. JMIR mHealth and uHealth 2021;9(5):e26082 View
  6. Mehta P, Moore S, Bull S, Kwan B. Building MedVenture – A mobile health application to improve adolescent medication adherence – Using a multidisciplinary approach and academic–industry collaboration. DIGITAL HEALTH 2021;7:205520762110198 View
  7. Brunelli L, De Vita C, Cenedese F, Cinello M, Paris M, Samogizio F, Starec A, Bava M, Dal Cin M, Zanchiello S, Stampalija T. Gaps and Future Challenges of Italian Apps for Pregnancy and Postnatal Care: Systematic Search on App Stores. Journal of Medical Internet Research 2021;23(8):e29151 View
  8. Schnitman G, Wang T, Kundu S, Turkdogan S, Gotlieb R, How J, Gotlieb W. The role of digital patient education in maternal health: A systematic review. Patient Education and Counseling 2022;105(3):586 View
  9. Jibb L, Amoako E, Heisey M, Ren L, Grundy Q. Data handling practices and commercial features of apps related to children: a scoping review of content analyses. Archives of Disease in Childhood 2022;107(7):665 View
  10. Dinour L, Pole A. Evaluation of Breastfeeding App Features: Content Analysis Study. JMIR Pediatrics and Parenting 2022;5(4):e37581 View
  11. Yu H, He J, Wang X, Yang W, Sun B, Szumilewicz A. A Comparison of Functional Features of Chinese and US Mobile Apps for Pregnancy and Postnatal Care: A Systematic App Store Search and Content Analysis. Frontiers in Public Health 2022;10 View
  12. 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
  13. García-Sánchez S, Somoza-Fernández B, de Lorenzo-Pinto A, Ortega-Navarro C, Herranz-Alonso A, Sanjurjo M. Mobile Health Apps Providing Information on Drugs for Adult Emergency Care: Systematic Search on App Stores and Content Analysis. JMIR mHealth and uHealth 2022;10(4):e29985 View
  14. Muñoz-Mancisidor A, Martin-Payo R, Gonzalez-Mendez X, Fernández-Álvarez M. Content, Behavior Change Techniques, and Quality of Pregnancy Apps in Spain: Systematic Search on App Stores. JMIR mHealth and uHealth 2021;9(11):e27995 View
  15. Narrillos-Moraza Á, Gómez-Martínez-Sagrera P, Amor-García M, Escudero-Vilaplana V, Collado-Borrell R, Villanueva-Bueno C, Gómez-Centurión I, Herranz-Alonso A, Sanjurjo-Sáez M. Mobile Apps for Hematological Conditions: Review and Content Analysis Using the Mobile App Rating Scale. JMIR mHealth and uHealth 2022;10(2):e32826 View
  16. Zhang P, Chen H, Shang J, Ge J, Zhang H, Xu M, Bian C, Zhao Y, Chen M, Hirst J. Mobile Phone App Use Among Pregnant Women in China and Associations Between App Use and Perinatal Outcomes: Retrospective Study. JMIR Formative Research 2022;6(1):e29644 View
  17. ATAGÜN E, TİMUÇİN T, BİROĞUL S. Topluluk Öğrenme ile Google Uygulamalarının İçerik Derecelendirmelerini Analiz Etme. El-Cezeri Fen ve Mühendislik Dergisi 2022 View
  18. Hayman M, Alfrey K, Waters K, Cannon S, Mielke G, Keating S, Mena G, Mottola M, Evenson K, Davenport M, Barlow S, Budzynski-Seymour E, Comardelle N, Dickey M, Harrison C, Kebbe M, Moholdt T, Moran L, Nagpal T, Schoeppe S, Alley S, Brown W, Williams S, Vincze L. Evaluating Evidence-Based Content, Features of Exercise Instruction, and Expert Involvement in Physical Activity Apps for Pregnant Women: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2022;10(1):e31607 View
  19. de Chantal P, Chagnon A, Cardinal M, Faieta J, Guertin A. Evidence of User-Expert Gaps in Health App Ratings and Implications for Practice. Frontiers in Digital Health 2022;4 View
  20. Biviji R, Williams K, Vest J, Dixon B, Cullen T, Harle C. Consumer Perspectives on Maternal and Infant Health Apps: Qualitative Content Analysis. Journal of Medical Internet Research 2021;23(9):e27403 View
  21. Lazarevic N, Lecoq M, Bœhm C, Caillaud C. Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia. International Journal of Environmental Research and Public Health 2023;20(2):1012 View
  22. Biswas M, Tania M, Kaiser M, Kabir R, Mahmud M, Kemal A, Rashid J. ACCU3RATE: A mobile health application rating scale based on user reviews. PLOS ONE 2021;16(12):e0258050 View
  23. Galetsi P, Katsaliaki K, Kumar S, Ferguson M. What affects consumer behavior in mobile health professional diagnosis applications. Decision Sciences 2023;54(3):315 View
  24. Zahed K, Mehta R, Erraguntla M, Qaraqe K, Sasangohar F. Understanding Patient Beliefs in Using Technology to Manage Diabetes: Path Analysis Model From a National Web-Based Sample. JMIR Diabetes 2023;8:e41501 View
  25. Kufel J, Bargieł K, Koźlik M, Bartnikowska W, Janik M, Czogalik Ł, Dudek P, Krawczyk D, Magiera M, Cebula M, Nawrat Z, Gruszczyńska K. Mobile applications in radiology: own study based on polish data. Scientific Reports 2023;13(1) View
  26. Zhou T, Salman D, McGregor A. mHealth Apps for the Self-Management of Low Back Pain: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2024;12:e53262 View
  27. Castrillon da Costa Faria T, Christina de Paula Corrêa Á, Do Amor Divino E, Pereira Borges A, Antônio da Silva R, Marien Knupp Medeiros R. Gravidez e tecnologias móveis de saúde: análise de aplicativos para smartphones. Ciência, Cuidado e Saúde 2024;23 View
  28. Hyzy M, Bond R, Mulvenna M, Bai L, Frey A, Carracedo J, Daly R, Leigh S, Kanmodi K. Don’t judge a book or health app by its cover: User ratings and downloads are not linked to quality. PLOS ONE 2024;19(3):e0298977 View
  29. Liptrot E, Pearson H, Montazami A, Dubé A. Why this app? How user ratings and app store rankings impact educators' selection of educational apps. Computers & Education 2024;218:105080 View

Books/Policy Documents

  1. Ding M, Wang W. Innovative Technologies and Learning. View