USER-CENTERED DESIGN AND USABILITY EVALUATION OF A CANCER PREVENTION WEB APPLICATION: AN ITERATIVE APPROACH IN GERMANY
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Objectives: Limited public awareness of cancer risk factors necessitates effective dissemination of cancer prevention information. Digital technologies offer an opportunity to address this gap, yet there is scant information on tools for communicating cancer prevention evidence. This article describes the user-centered design, development and usability evaluation of a web application for personalized cancer prevention tailored to the German population. Materials and Methods: Prototypes of the web-app were developed through early and continuous formative evaluations. These prototypes integrated validated cancer risk prediction models and recommendations using an evidence-based risk communication approach. In a graphical user interface (GUI) test usability was assessed using the system usability scale (SUS), deriving scores for overall usability, usefulness, and learnability. Qualitative data on user experience (UX) and user interface (UI) issues were also collected through think-aloud protocols, interviews, and questionnaires. Findings: The GUI test showed a SUS score of 69.7/100 and a usefulness score of 75.8, indicating acceptable usability, while the learnability score was 48.4. Eight categories of UX/UI problems were identified, including one severe and three moderate issues related to data input, user guidance and risk visualization. Qualitative feedback highlighted strengths in navigation, information presentation, and interactive features such as the risk simulation tool. Discussion: The iterative development and early user testing yielded valuable feedback, identifying key usability concerns during prototyping. The usability score was within an acceptable range, and the usefulness score was above average. However, the lower learnability score indicated potential challenges in user understanding and satisfaction. Identified usability issues highlight areas for improvement while positive feedback supports the design choices, particularly the use of visual aids, numerical data, and personalized feedback to improve risk comprehension and motivate behavior change. Conclusion: The NCPC cancer prevention web application represents a significant step towards effective digital health promotion in Germany. Addressing identified usability concerns through continued iterative refinement and user involvement is crucial for enhancing the tool’s effectiveness. The integration of evidence-based risk communication strategies shows promise in improving risk comprehension and motivating behavior change among users.
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An iterative development process of a cancer prevention web application by Carrera et al [45] and the prevention-focused web application described by Anders et al [32] incorporated repeated cycles of feedback that shaped tutorials and interactive features.
“Similarly, an iterative development process of a cancer prevention web application by Carrera et al [45] and the prevention-focused web application described by Anders et al [32] incorporated repeated cycles of feedback that shaped tutorials and interactive features, supporting its potential to enhance risk understanding and healthy behavior.”
From User-Centered Design for Digital Patient-Navigation Tools in Oncology: Scoping Review (2026) · cites this paper as [45]
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Experimental — accuracy not yet measuredThe iterative development of the prevention web applications supports their potential to enhance risk understanding and healthy behavior.
“Similarly, an iterative development process of a cancer prevention web application by Carrera et al [45] and the prevention-focused web application described by Anders et al [32] incorporated repeated cycles of feedback that shaped tutorials and interactive features, supporting its potential to enhance risk understanding and healthy behavior.”
From User-Centered Design for Digital Patient-Navigation Tools in Oncology: Scoping Review (2026) · cites this paper as [45]
The Iterative development section describes repeated formative evaluations whose feedback refined the cancer-prevention app’s content, functionality, and risk visualizations. The Conclusion says its risk-communication features show promise for improving risk comprehension and motivating behavior change. However, the Discussion describes tutorials as a user recommendation, not a feature already shaped or incorporated through those cycles. (LLM, conf=0.84)
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Cites
On the dimensionality of the System Usability Scale: a test of alternative measurement models
Borsci, S., Federici, S., & Lauriola, M. (2009) · Cognitive Processing · doi:10.1007/s10339-009-0268-9 · Cited by 275 · see citing works
Flagged first, then by citations
Research works printed but not linked: 32
- GBD 2019 Cancer Risk Factors Collaborators. The global burden of cancer attributable to risk factors, 2010-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2022; 400: 563-591. DOI: 10.1016/S0140-6736(22)01438-6. · DOI
- Carrera PM, Calderazzo S. Knowledge of cancer risk factors and risk-reduction in high income countries. Prev Med. 2023. DOI: 10.1016/j.ypmed.2023.107583. · DOI
- Cullen R, Heitkemper E, Backonja U, Bekemeier B, Kong HK. Designing an infographic webtool for public health [published online ahead of print, 2023 Jun 24]. J Am Med Inform Assoc. 2023;ocad105. DOI:10.1093/jamia/ocad105 ISO 9241-11:2018(en) Ergonomics of human-system interaction. Available at: https://www.iso.org/obp/ui/#iso:std:iso:9241:-11:ed-2:v1:en. [Accessed on 13 April 2022]. · DOI
- Baumann M, Braun A, Helbig U, Nettekoven G, Will U. Das Nationale Krebspräventionszentrum. Onkologe. 2022. 28:62-68. DOI: 10.1007/s00761-021-01068- 6. · DOI
- Carr PR, Weigl K, Edelmann D, Jansen L, Chang-Claude J, Brenner H, et al. Estimation of absolute risk of colorectal cancer based on healthy lifestyle, genetic risk, and colonoscopy status in a population-based study. Gastroenterology. 2020 Jul;159(1):129-138.e9. DOI: 10.1053/j.gastro.2020.03.016. · DOI
- Aleksandrova K, Reichmann R, Kaaks R, Jenab M, Bueno-de-Mesquita HB, Dahm CC, et al. Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score. BMC Med. 2021 Jan 4;19(1):1. DOI: 10.1186/s12916- 02001826-0. · DOI
- Jaspers MW. A comparison of usability methods for testing interactive health technologies: methodological aspects and empirical evidence. Int J Med Inform. 2009;78(5):340-353. DOI: 10.1016/j.ijmedinf.2008.10.002. · DOI · Paper page
- Snyder LE, Phan DF, Williams KC, et al. Comprehension, utility, and preferences of prostate cancer survivors for visual timelines of patient-reported outcomes co-designed for limited graph literacy: meters and emojis over comics. J Am Med Inform Assoc. 2022;29(11):1838-1846. DOI:10.1093/jamia/ocac148. · DOI
- Reis F, Sá-Moura B, Guardado D, et al. Development of a Healthy Lifestyle Assessment Toolkit for the General Public. Front Med (Lausanne). 2019;6:134. Published 2019 Jun 27. DOI:10.3389/fmed.2019.00134. · DOI
- Smit AK, Keogh LA, Hersch J, et al. Public preferences for communicating personal genomic risk information: a focus group study. Health Expect. 2016;19(6):1203-1214. DOI: 10.1111/hex.12406. · DOI
- Gorski Findling MT, Werth PM, Musicus AA, Bragg MA, Graham DJ, Elbel B, et al. Comparing five front-of-pack nutrition labels' influence on consumers' perceptions and purchase intentions. Prev Med. 2018 Jan;106:114-121. DOI: 10.1016/j.ypmed.2017.10.022. · DOI
- Lundeberg PJ, Graham DJ, Mohr GS. Comparison of two front-of-package nutrition labeling schemes, and their explanation, on consumers' perception of product healthfulness and food choice. Appetite. 2018 Jun 1;125:548-556. DOI: 10.1016/j.appet.2018.02.027. · DOI
- Kong N, Heer J, Agrawala M. Perceptual guidelines for creating rectangular treemaps. IEEE Trans Vis Comput Graph. 2010;16(6):990-998. doi:10.1109/TVCG.2010.186 · DOI
- Kong N, Heer J, Agrawala M. Perceptual guidelines for creating rectangular treemaps. IEEE Trans Vis Comput Graph. 2010;16(6):990-998. DOI:10.1109/TVCG.2010.186 · DOI
- Snyder LE, Phan DF, Williams KC, et al. Comprehension, utility, and preferences of prostate cancer survivors for visual timelines of patient-reported outcomes co-designed for limited graph literacy: meters and emojis over comics. J Am Med Inform Assoc. 2022;29(11):1838-1846. DOI:10.1093/jamia/ocac148 · DOI
- Barnes AJ, Hanoch Y, Miron-Shatz T, Ozanne EM. Tailoring risk communication to improve comprehension: Do patient preferences help or hurt?. Health Psychol. 2016;35(9):1007-1016. DOI:10.1037/hea0000367 · DOI
- Banerjee I, Nguyen B, Garousi V, Memon A. Graphical user interface (GUI) testing: Systematic mapping and repository. Inf Software Tech. 2013. 55(10): 1679-1694. DOI: 10.1016/j.infsof.2013.03.004 · DOI
- Turner CW, Lewis JR, Nielsen J. Determining usability test sample size. International Encyclopedia of Ergonomics and Human Factors, 2006, Second Edition, Volume 3.
- Haftenberger M, Mensink GB, Vogt S, et al. Changes in Waist Circumference among German Adults over Time -Compiling Results of Seven Prospective Cohort Studies. Obes Facts. 2016;9(5):332-343. DOI:10.1159/000446964. · DOI
- Brooke, J. SUS-A quick and dirty usability scale. Usability Eval. Ind. 1996;189:4-7.
- Bangor A, Kortum PT, Miller JT. An empirical evaluation of the system usability scale. Int J Hum Comput Interact. 2008;24:574-594.
- Lewis JR, Sauro J. The Factor Structure of the System Usability Scale. In: Kurosu, M. (eds) Human Centered Design. HCD 2009. Lecture Notes in Computer Science, vol 5619. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-02806-9_12. · DOI · Paper page
- Hajesmaeel-Gohari S, Khordastan F, Fatehi F, Samzadeh H, Bahaadinbeigy K. The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health. BMC Med Inform Decis Mak. 2022;22(1):22. DOI: 10.1186/s12911-022-01764-2. · DOI
- Santos KDS, Ribeiro MC, Queiroga DEU, Silva IAPD, Ferreira SMS. The use of multiple triangulations as a validation strategy in a qualitative study. O uso de triangulação múltipla como estratégia de validação em um estudo qualitativo. Cien Saude Colet. 2020;25(2):655-664. DOI:10.1590/1413-81232020252.12302018 · DOI
- Mair JL, Castro O, Salamanca-Sanabria A, et al. Exploring the potential of mobile health interventions to address behavioural risk factors for the prevention of non-communicable diseases in Asian populations: a qualitative study. BMC Public Health. 2023;23(1):753. DOI: 10.1186/s12889-023-15598-8. · DOI
- Lewis JR, Sauro J. Item benchmarks for the system usability scale. Journal of User Experience. 2018; 13(3):158-167.
- Kortum P, Peres SC. Evaluation of Home Health Care Devices: Remote Usability Assessment. JMIR Human Factors. 2015;2(1):e10. DOI: 10.2196/humanfactors.4570. · DOI
- Adams C, Walpola R, Schembri AM, Harrison R. The ultimate question? Evaluating the use of Net Promoter Score in healthcare: A systematic review. Health Expect. 2022;25(5):2328-2339. DOI:10.1111/hex.13577. · DOI
- Oakley-Girvan I, Yunis R, Fonda SJ, et al. Usability evaluation of mobile phone technologies for capturing cancer patient-reported outcomes and physical functions. Digit Health. 2023;9:20552076231186515. DOI:10.1177/20552076231186515. · DOI
- Oakley-Girvan I, Yunis R, Fonda SJ, et al. Usability evaluation of mobile phone technologies for capturing cancer patient-reported outcomes and physical functions. Digit Health. 2023;9:20552076231186515. DOI:10.1177/20552076231186515. · DOI
- Adams C, Walpola R, Schembri AM, Harrison R. The ultimate question? Evaluating the use of Net Promoter Score in healthcare: A systematic review. Health Expect. 2022;25(5):2328-2339. DOI:10.1111/hex.13577. · DOI
- Zhang R, Carrera P, Elias O, Norajitra T, Goncalves A, Maier-Hein K. Cancer risk reduction by dietary guideline adherence: a prioritization approach with a web app. Proceedings. 2023; 91(1):130. DOI:10.3390/proceedings2023091130. · DOI
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Sorted by citations
User-Centered Design for Digital Patient-Navigation Tools in Oncology: Scoping Review
Kheirinejad, S., White, B. M., Kheirkhah Rahimabad, P., Zink, J. A., Hashtarkhani, S., Kumsa, F. A., Rashid, R., Chinthala, L., Brett, C. L., Davis, R. L., et al. (2026) · JMIR Human Factors · doi:10.2196/87686
“Similarly, an iterative development process of a cancer prevention web application by Carrera et al [45] and the prevention-focused web application described by Anders et al [32] incorporated repeated cycles of feedback that shaped tutorials and interactive features, supporting its potential to…”
- Authors
- Carrera, P., Elias, O., Zhang, R., Norajitra, T., Goncalves, A., & Maier-Hein, K.
- Affiliations
- Cochrane (GB)
- German Cancer Research Center (DE)
- Corresponding author
- Carrera, Pricivel
- Venue
- medRxiv
- Publisher
- openRxiv
- Published
- 2025-04-30
- OpenAlex
- W4410016867
- Cited by
- 1
- References
- 1
- Citations by year
- 2026: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- medRxiv (acceptedVersion, cc-by-nc)
- Funders
- Deutsches Krebsforschungszentrum
- North Carolina Pork Council
- Deutsche Krebshilfe
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- cancer prevention, web application, usability evaluation, user-centered design, cancer risk prediction, digital health promotion, user experience, learnability, risk visualization, behavior change
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