Usability Analysis of a Health Sciences Digital Library by Medical Residents: Cross-sectional Survey (Preprint)

Author:

Jamal AmrORCID,Tharkar ShabanaORCID,Alenazi HananORCID,Julaidan Bedoor SaudORCID,Al Hindawi Dania AliORCID,AlAkeel Norah SulemanORCID,AlNuhayer Ola MohammedORCID,AlDubaikhi Raneem HamoudORCID

Abstract

BACKGROUND

The usability of a digital library depends on a myriad of factors ranging from the end users’ ability to website complexity. Although digital libraries provide instant access to online content, offering an efficient reference platform, their usability is highly variable.

OBJECTIVE

The aim of this study was to measure users’ perspectives and usability of the digital library of the Saudi Commission for Health Specialties (SCFHS).

METHODS

A web-based questionnaire survey was conducted using a validated System Usability Scale (SUS) containing 5 positive and 5 negative items on the usability of the digital library. The SUS standard cut-off score of 68 was considered for interpretation.

RESULTS

The overall mean SUS score of digital library usability was 52.9 (SD 15.2) with a grade “D” categorization, indicating low usability. The perceived measures of attributes of the 10 SUS items of findability, complexity, consistency, and confidence obtained below average scores. Only item 1 relating to perceived willingness to use the digital library frequently obtained a score above the targeted benchmark score (mean score 3.6). Higher SUS scores were associated with training (<i>P</i>=.02). Men felt the digital library to be more complex (<i>P</i>=.04) and board-certified physicians perceived a greater need for training on digital library use (<i>P</i>=.05). Only the UpToDate database was widely used (72/90, 80%).

CONCLUSIONS

These findings demonstrate the low usability of the extensive facilities offered by the SCFHS digital library. It is pivotal to improve awareness of the availability of the digital library and popularize the databases. There is also a need for improved user training to enhance the accessibility and usability of the multiple databases.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3