Optimizing Health Information Technologies for Emergency Visits: Usability Evaluation – A Mixed Methods Study (Preprint)

Author:

Østervang ChristinaORCID,Jensen Charlotte MyhreORCID,Coyne ElisabethORCID,Dieperink Karin BrochstedtORCID,Lassen AnnmarieORCID

Abstract

BACKGROUND

A lack of information during an emergency visit leads to the experience of powerlessness for patients and their family members, who may also feel unprepared to cope with acute symptoms. The ever-changing nature and fast-paced workflow in the emergency departments often affect how healthcare professionals are able to tailor information and communication to the needs of the patient. An information system called Cetrea Clinical Logistics for patients (CCL for patients) has been developed as a sustainable solution to help provide the information needed in the emergency department.

OBJECTIVE

This study aimed to evaluate the usability and experiences of this newly developed system.

METHODS

This is a mixed-method study consisting of quantitative data obtained from the System Usability Scale questionnaire and qualitative interview data obtained from purposively selected participants included in the quantitative part of the study.

RESULTS

A total of 104 patients and 16 family members (n=120) answered the questionnaire. Ten patients and three family members participated in the interviews. Based on the System Usability score, CCL for patients was rated close to excellent, with a mean score of 83.6 (SD 12.8). Most of the participants found the system easy to use and would like to use it again. The participants reported that the system helped them to feel in control, and the information was useful. Simplifications were needed to improve the user experience for the older population.

CONCLUSIONS

This study demonstrates that the usability of CCL for patients is close to excellent. It was perceived to be useful, as it enabled understanding of the treatment and was consumer friendly. Areas for improvement include making the system more usable by older individuals.

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