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Usability Evaluation of Web-based Training Tools under WHO Family of International Classifications (WHO-FIC)

Authors :
Farzad Salmanizadeh
Leila Ahmadian
Arefeh Ameri
Source :
Frontiers in Health Informatics, Vol 12, Iss 0 (2023)
Publication Year :
2023
Publisher :
Hamara Afzar, 2023.

Abstract

Introduction: Various training methods such as web-based training tools have been developed to achieve the potential benefits of classification systems developed by the World Health Organization (WHO). Given that users of these tools have different levels of capability, usability problems could reduce the speed and accuracy of learning among users interacting with these tools. This study aims to identify usability problems of web-based training tools under the WHO family of international classifications (WHO-FIC). Methods: In this descriptive and cross-sectional study, ten trained evaluators independently examined WHO-FIC training tools using the heuristic evaluation method. The identified problems were classified into 10 Nielsen’s usability heuristics. Then, their average severity was calculated. Results: In total, 40 usability problems were identified after merging and eliminating the duplicates. The highest number of problems was related to ICD-10 training tool (n=20). The highest number of problems was related to heuristics of aesthetic and minimalist design (25.0%), and user control and freedom (17.5%). Heuristics of flexibility and efficiency of use and helping users recognize, diagnose and recover from errors had the highest average severity of problems. Conclusion: Violating heuristics of aesthetic and minimalist design, user control and freedom and recognition rather than recall were among the most common problems of WHO-FIC training tools. Evaluators reported that half of the user interface problems of WHO-FIC training tools were of major and catastrophe type. Solving the usability problems of these tools could lead to ease of work, increased speed of learning and acceptance of these systems among users.

Details

Language :
English
ISSN :
26767104
Volume :
12
Issue :
0
Database :
Directory of Open Access Journals
Journal :
Frontiers in Health Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.0ec53707f5a44505a1fd50223a07612c
Document Type :
article
Full Text :
https://doi.org/10.30699/fhi.v12i0.409