Your browser doesn't support javascript.
loading
Data Collectors' Design Preferences for Mobile Electronic Data Capturing Forms.
Mugisha, Alice; Krumsvik, Ole Andreas; Tylleskar, Thorkild; Babic, Ankica.
Afiliación
  • Mugisha A; Centre for International Health, University of Bergen, Norway.
  • Krumsvik OA; Dept of Information and Media Studies, University of Bergen, Norway.
  • Tylleskar T; Centre for International Health, University of Bergen, Norway.
  • Babic A; Dept of Information and Media Studies, University of Bergen, Norway.
Stud Health Technol Inform ; 251: 93-96, 2018.
Article en En | MEDLINE | ID: mdl-29968610
Data collectors collect health data using Mobile Electronic Data Collection Forms (MEDCFs) particularly in hard to reach areas. However, the usability and user acceptance of these forms by the data collectors are seldom considered, and yet these have an implication on the quality of the data collected and on the health decisions thereof. In this study we aimed at collecting the design preferences the data collectors felt would improve their data collection experience. For that purpose, a mid-fidelity prototype was used to accomplish six tasks and a semi-structured usability questionnaire was given. Forty eight data collectors from Uganda participated in the study between December 2017 and January 2018, indicating their preferences after interacting with the prototype. The results included a detailed feedback regarding the presentation of the forms content, form navigation, error handling, data input, and visualization of progress status. Involvement of users and other stakeholders in the design of MEDCFs using the User Centred Design (UCD) will presumably enhance usability of the data collection forms.
Asunto(s)
Palabras clave
Buscar en Google
Bases de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Procesamiento Automatizado de Datos / Encuestas y Cuestionarios Tipo de estudio: Qualitative_research País/Región como asunto: Africa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2018 Tipo del documento: Article País de afiliación: Noruega
Buscar en Google
Bases de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Procesamiento Automatizado de Datos / Encuestas y Cuestionarios Tipo de estudio: Qualitative_research País/Región como asunto: Africa Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2018 Tipo del documento: Article País de afiliación: Noruega