Evaluation of Usability and User Experience of Oncodoc ‘s M-Health Application for Early Detection of Cancer

Document Type : Research Articles


1 Department of Public Health, Faculty of Health Science, Universitas Dian Nuswantoro, Semarang, Indonesia.

2 Medical Oncoligist-Hematologist Consultant, dr. Karyadi Hospital, Semarang, Indonesia.

3 Department of Informatic Engineering, Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, Indonesia.

4 Department of Medical Record and Health Information Management, Faculty of Health Science, Universitas Dian Nuswantoro, Semarang, Indonesia.

5 Department of Management, Faculty of Economic and Business, Universitas Dian Nuswantoro, Semarang, Indonesia.


Objective: Cancer is a non-communicable disease that accounts for 71% of deaths globally. The prevalence of people living with cancer in Indonesia increased from 1.4/1000 population (2013) to 1.8/1,000 population (2018). This study aims to evaluate usability, user experience, and user feedback on the use of the Oncodoc m-health application. Methods:  The research method uses mixed methods with a cross-sectional approach and online survey sampling techniques (677 respondents), in December 2021-January 2022 in Indonesia. The instruments used are the System Usability Scale and User Experience Questionnaire. The variables measured include the characteristics of respondents, usability, user experience, and responses to using applications qualitatively. Quantitative data were analysed descriptively and the User Experience Questionnaire’s analysis tool. Qualitative data were analysed thematically. Results: Evaluation of the usability of Oncodoc’s m-health application is in the “acceptable” category (70.88), and the adjective rating is in the “Good” category. Evaluations of the relative quality of user experience are in the “good” and “very good” types. The average user experience scale is (mean; SD): attractiveness (1.80; 0.99), perspicuity (1.82; 1.05), efficiency (1.78; 1.09), dependability (1.56; 1.01), stimulation (1.81; 1.06), and novelty (1.32; 1.10). The findings of this study are 1) the ability to accommodate user needs, 2) usage barriers, and 3) user expectations for the Oncodoc application. Conclusion: Overall, the Oncodoc m-health application is acceptable to users. We recommend developing a cancer early detection application with an approach that refers to user needs for further research. 


Main Subjects

Volume 23, Issue 12
December 2022
Pages 4169-4176
  • Receive Date: 30 June 2022
  • Revise Date: 14 October 2022
  • Accept Date: 23 December 2022
  • First Publish Date: 23 December 2022