Article

OPTIMIZING USABILITY of AN ECONOMIC DECISION SUPPORT TOOL: PROTOTYPE of the EQUIPT TOOL

  • Kei Long Cheung /
  • Mickaël Hiligsmann /
  • Maximilian Präger /
  • Teresa Jones /
  • Judit Józwiak-Hagymásy /
  • Celia Muñoz /
  • Adam Lester-George /
  • Subhash Pokhrel /
  • ángel López-Nicolás /
  • Marta Trapero-Bertran /
  • Silvia M.a.a. Evers /
  • Hein De Vries
Journal ar
International Journal of Technology Assessment in Health Care
  • Volumen: 34
  • Número: 1
  • Fecha: 01 January 2018
  • Páginas: 68-77
  • ISSN: 14716348 02664623
  • Source Type: Journal
  • DOI: 10.1017/S0266462317004470
  • Document Type: Article
  • Publisher: Cambridge University PressJournals_subscriptions@cup.cam.ac.uk
Copyright © Cambridge University Press 2018.Objectives: Economic decision-support tools can provide valuable information for tobacco control stakeholders, but their usability may impact the adoption of such tools. This study aims to illustrate a mixed-method usability evaluation of an economic decision-support tool for tobacco control, using the EQUIPT ROI tool prototype as a case study. Methods: A cross-sectional mixed methods design was used, including a heuristic evaluation, a thinking aloud approach, and a questionnaire testing and exploring the usability of the Return of Investment tool. Results: A total of sixty-six users evaluated the tool (thinking aloud) and completed the questionnaire. For the heuristic evaluation, four experts evaluated the interface. In total twenty-one percent of the respondents perceived good usability. A total of 118 usability problems were identified, from which twenty-six problems were categorized as most severe, indicating high priority to fix them before implementation. Conclusions: Combining user-based and expert-based evaluation methods is recommended as these were shown to identify unique usability problems. The evaluation provides input to optimize usability of a decision-support tool, and may serve as a vantage point for other developers to conduct usability evaluations to refine similar tools before wide-scale implementation. Such studies could reduce implementation gaps by optimizing usability, enhancing in turn the research impact of such interventions.

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