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关于药物治疗临床决策支持系统(CDSS)的用户满意度研究。

A Study on User Satisfaction regarding the Clinical Decision Support System (CDSS) for Medication.

作者信息

Kim Junghee, Chae Young Moon, Kim Sukil, Ho Seung Hee, Kim Hyong Hoi, Park Chun Bok

机构信息

Graduate School of Public Health, Yonsei University, Seoul, Korea.

出版信息

Healthc Inform Res. 2012 Mar;18(1):35-43. doi: 10.4258/hir.2012.18.1.35. Epub 2012 Mar 31.

Abstract

OBJECTIVES

Many medication errors can occur when ordering and dispensing medicine in hospitals. The clinical decision support system (CDSS) is widely used in an effort to reduce medication errors. This study focused on the evaluation of user satisfaction with the CDSS for medication at a university hospital. Specifically, this study aimed to identify the factors influencing user satisfaction and to examine user requirements in order to further improve user satisfaction and drug safety.

METHODS

The study was based on survey data from 218 users (103 doctors, 103 nurses, and 15 pharmacists) at a university hospital that uses the CDSS. In order to identify the factors influencing user satisfaction with the CDSS, a multiple linear regression was performed. In order to compare the satisfaction level among the professional groups, an analysis of variance (ANOVA) was performed.

RESULTS

The reliability of information, decision supporting capability, and departmental support were significant factors in influencing user satisfaction. In addition, nurses were the most satisfied group, followed by pharmacists and doctors according to the ANOVA. Areas for further improvement in enhancing drug safety were real time information searching and decision supporting capabilities to prevent adverse drug events (ADE) in a timely manner.

CONCLUSIONS

We found that the CDSS users were generally satisfied with the system and that it complements the nationwide drug utilization review (DUR) system in reducing ADE. Further CDSS evaluation in other hospitals is needed to improve user satisfaction and drug safety.

摘要

目的

在医院中,医嘱开具和配药过程中可能会发生许多用药错误。临床决策支持系统(CDSS)被广泛应用以减少用药错误。本研究聚焦于一所大学医院中用户对用药CDSS的满意度评估。具体而言,本研究旨在确定影响用户满意度的因素,并调查用户需求,以进一步提高用户满意度和用药安全性。

方法

该研究基于一所使用CDSS的大学医院中218名用户(103名医生、103名护士和15名药剂师)的调查数据。为了确定影响用户对CDSS满意度的因素,进行了多元线性回归分析。为了比较不同专业组之间的满意度水平,进行了方差分析(ANOVA)。

结果

信息可靠性、决策支持能力和部门支持是影响用户满意度的重要因素。此外,根据方差分析,护士是最满意的群体,其次是药剂师和医生。在提高用药安全性方面,需要进一步改进的领域是实时信息搜索和决策支持能力,以便及时预防药物不良事件(ADE)。

结论

我们发现CDSS用户总体上对该系统感到满意,并且它在减少ADE方面补充了全国性的药物利用审查(DUR)系统。需要在其他医院进一步开展CDSS评估,以提高用户满意度和用药安全性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6bdc/3324754/3c9ad9d03e01/hir-18-35-g001.jpg

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本文引用的文献

3
Systematic review: impact of health information technology on quality, efficiency, and costs of medical care.
Ann Intern Med. 2006 May 16;144(10):742-52. doi: 10.7326/0003-4819-144-10-200605160-00125. Epub 2006 Apr 11.
5
Determinants of success of inpatient clinical information systems: a literature review.
J Am Med Inform Assoc. 2003 May-Jun;10(3):235-43. doi: 10.1197/jamia.M1094. Epub 2003 Jan 28.
6
Introduction to hospital information systems.
Int J Clin Monit Comput. 1987;4(2):105-9. doi: 10.1007/BF02915853.

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