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Development of the SIKRIBO Mobile Health Application for Active Tuberculosis Case Detection in Semarang, Indonesia
OBJECTIVES: This study was conducted to document the development and usability testing of SIKRIBO, a tuberculosis screening application. METHODS: The SIKRIBO application was developed using design science research methodology, which has six steps: problem identification and motivation, definition of...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9672498/ https://www.ncbi.nlm.nih.gov/pubmed/36380427 http://dx.doi.org/10.4258/hir.2022.28.4.297 |
Sumario: | OBJECTIVES: This study was conducted to document the development and usability testing of SIKRIBO, a tuberculosis screening application. METHODS: The SIKRIBO application was developed using design science research methodology, which has six steps: problem identification and motivation, definition of objectives for a solution, product design and development, demonstration, evaluation, and communication. A system usability scale (SUS) questionnaire was used to assess application usability. A total of 20 health cadres (trained community members) and health workers participated in the usability tests. RESULTS: Two versions of the application were developed: Android-based for users and web-based for administrators. The Android-based version has four main menus: Find Tuberculosis, Tuberculosis Education, Latest Info, and Profile. The web version is accessible to health workers, as well as the research team and application developers who monitor and manage the user-conducted screenings. The average SUS score was 76 (standard deviation, 8.00). CONCLUSIONS: This application was developed to help detect active tuberculosis cases in the community. The SUS results indicate that the application is highly usable. Thus, SIKRIBO is expected to be broadly implemented to increase tuberculosis case detection through active community participation. |
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