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

Mobile Apps for Cancer Care and Cancer Prevention and Screening (206) Mobile Health (mhealth) (2939) Human Factors and Usability Case Studies (787) Formative Studies and eHealth/mHealth Development (524) mHealth in a Clinical Setting (615) Usability Evaluation Case Studies (191) Design and Formative Evaluation of Mobile Apps (694) mHealth for Screening (213)

Published on in Vol 3, No 1 (2017): Jan-Jun

Rotterdam Prostate Cancer Risk Calculator: Development and Usability Testing of the Mobile Phone App

Rotterdam Prostate Cancer Risk Calculator: Development and Usability Testing of the Mobile Phone App

Rotterdam Prostate Cancer Risk Calculator: Development and Usability Testing of the Mobile Phone App

Authors of this article:

Nuno Pereira-Azevedo1, 2 Author Orcid Image ;   Luís Osório2 Author Orcid Image ;   Avelino Fraga2 Author Orcid Image ;   Monique J Roobol1 Author Orcid Image
Article Authors Cited by (38) Tweetations (2) Metrics

Journals

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  9. Govorko M, Fritschi L, White J, Reid A. Identifying Asbestos-Containing Materials in Homes: Design and Development of the ACM Check Mobile Phone App. JMIR Formative Research 2017;1(1):e7 View
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  18. Bandala-Jacques A, Castellanos Esquivel K, Pérez-Hurtado F, Hernández-Silva C, Reynoso-Noverón N. Prostate Cancer Risk Calculators for Healthy Populations: Systematic Review. JMIR Cancer 2021;7(3):e30430 View
  19. Díaz-Fernández F, Celma A, Salazar A, Moreno O, López C, Cuadras M, Regis L, Planas J, Morote J, Trilla E. Systematic review of methods used to improve the efficacy of magnetic resonance in early detection of clinically significant prostate cancer. Actas Urológicas Españolas (English Edition) 2023;47(3):127 View
  20. Berg S, Tully K, von Landenberg N, Bahlburg H, Roghmann F, Müller G, Hanske J, Noldus J, Brock M. How Many Cores Should Be Sampled during Systematic Prostate Biopsy in Case of Negative Multiparametric Magnetic Resonance Imaging? Analysis of 274 Men with Clinical Suspicion of Prostate Cancer. Urologia Internationalis 2022;106(9):914 View
  21. Gebeyehu S, Twinomurinzi H. A Collaborative Consumption Digital Platform for Government Organizations using Design Science. Digital Government: Research and Practice 2022;3(1):1 View
  22. Murtha J, Liu N, Birstler J, Hanlon B, Venkatesh M, Hanrahan L, Borza T, Kushner D, Funk L. Obesity and “obesity-related” cancers: are there body mass index cut-points?. International Journal of Obesity 2022;46(10):1770 View
  23. Stocks J, Choi Y, Ibrahim S, Huchko M. Iterative Development of a Mobile Phone App to Support Community Health Volunteers During Cervical Cancer Screening in Western Kenya: Qualitative Study. JMIR Formative Research 2022;6(2):e27501 View
  24. Pospelova I, Bragin D, Cherepanova I, Serebryakova V, Sokolov A, Kaveshnikov V. Development of Mobile Application for Assessment of Basic Echocardiographic Parameters in Apparently Healthy Population. Telemedicine and e-Health 2021 View
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  26. Berg S, Tully K, Hoffmann V, Bahlburg H, Roghmann F, Müller G, Noldus J, Reike M. Assessment of complications after transperineal and transrectal prostate biopsy using a risk-stratified pathway identifying patients at risk for post-biopsy infections. Scandinavian Journal of Urology 2023;57(1-6):41 View
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  28. Greenberg J, Koller C, Casado C, Triche B, Krane L. A narrative review of biparametric MRI (bpMRI) implementation on screening, detection, and the overall accuracy for prostate cancer. Therapeutic Advances in Urology 2022;14 View
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  31. Bahlburg H, Tully K, Hoffmann V, Hanske J, von Landenberg N, Roghmann F, Palisaar R, Noldus J, Berg S, Brock M. Avoiding Prostate Biopsies in Patients at Low Risk for Prostate Cancer: A Prospective Evaluation of a PSA-Density-Based Safety Net. Urologia Internationalis 2023;107(5):454 View
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Books/Policy Documents

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