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Volume 97, Issue 3, Pages 280-285 (March 2010)


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A guideline-based decision support for pharmacological treatment can improve the quality of hyperlipidemia management

Chiehfeng Chenabcd, Kung Chene, Chien-Yeh Hsuc, Wen-Ta Chiuf, Yu-Chuan (Jack) LicgCorresponding Author Informationemail address

Received 27 October 2009; received in revised form 19 November 2009; accepted 15 December 2009.

Abstract 

Introduction

The Institute of Medicine has identified both Computerized Physician Order Entry (CPOE) and Electronic Prescription (EP) as key in reducing medication errors and improving safety. Many computerized clinical decision support systems (CDSSs) improve practitioner performance. However, the development of CDSSs involves a long cycle time that makes it difficult to apply in a wider scope.

Methods

In this study, we integrated the hyperlipidemia treatment guideline ATP III (Adult Treatment Panel III) in a CPOE of a medical center. The first 200 consecutive patients followed up more than 1 year were recorded for analysis.

Results

Our study revealed that 130 (65%) patients reached the LDL-C (low density lipoprotein-cholesterol) goal in 1 year. For those who with CDSS finished, 74% reached the LDL-C goal. For those who with CDSS exited, 57% reached the LDL-C goal. The odds ratio is 2.1 (1.2, 3.8) (p=0.022), which means for those who with CDSS finished can have 2 times of chance to reach the LDL-C goal. The mean of days to attain the LDL-C goal level after initiation of antihyperlipidemia therapy was 175±98 days. 11,806 prescribing records from 8023 patients were collected for analyzing the reasons of prematurely exiting the CDSS. The most frequent reason for exiting the system is “too busy to use”.

Conclusion

We conclude that a CPOE with CDSS integrated may let more hyperlipidemia patients reach the LDL-C goal. However, data also showed the total prescribing time may increase. The results of a preliminary evaluation are presented to illustrate that the CDSSs can improve the quality of hyperlipidemia management.

a Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, 250, Taiwan

b Department of Surgery, Taipei Medical University - Wan Fang Hospital, Taiwan

c Graduate Institute of Biomedical Informatics, Taipei Medical University, Taiwan

d Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taiwan

e Department of Computer Science, National Chengchi University, Taiwan

f Taipei Medical University, Taiwan

g Department of Dermatology, Taipei Medical University - Wan Fang Hospital, Taiwan

Corresponding Author InformationCorresponding author at: Graduate Institute of Biomedical Informatics, Taipei Medical University, 250 Wu-Xin Street, Taipei City 11014, Taiwan. Tel.: +886 2 2930 7930; fax: +886 2 86621138.

PII: S0169-2607(09)00307-1

doi:10.1016/j.cmpb.2009.12.004


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