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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Pharmacoepidemiology...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Pharmacoepidemiology and Drug Safety
Article . 2005 . Peer-reviewed
License: Wiley Online Library User Agreement
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Drug utilization pattern of Chinese herbal medicines in a general hospital in Taiwan

Authors: L C, Chen; B R, Wang; Y C, Chou; J H, Tien;

Drug utilization pattern of Chinese herbal medicines in a general hospital in Taiwan

Abstract

AbstractPurposeDrug utilization studies are important for the optimization of drug therapy and have received a great attention in recent years. Most of the information on drug use patterns has been derived from studies in modern Western medicines; however, studies regarding the drug utilization of traditional Chinese medicine (CM) are few. The present study was the first clinical research to evaluate the drug utilization patterns of Chinese herbal medicines in a general hospital in Taiwan.MethodsData were collected prospectively from the patients attending the Traditional Medicine Center of Taipei Veteran General Hospital under CM drug treatments. The study was carried out over a period of 1 year, from January 2002 to December 2002. Core drug use indicators, such as the average number of drugs per prescriptions, the dosing frequency of prescriptions, and the most common prescribed CM herbs and formulae were evaluated. The primary diagnosis and the CM drugs prescribed for were also revealed. All data were analyzed by descriptive statistics.ResultsA total of 10 737 patients, representing 52 255 CM drugs, were screened during the study period. Regarding the prescriptions, the average number of drugs per prescription was 4.87 and 37.21% of prescriptions were composed by five drugs. Most of prescriptions (91.38%) were prescribed for three times a day. The most often prescribed Chinese herb was Hong‐Hwa (5.76%) and the most common Chinese herbal formula was Jia‐Wey‐Shiau‐Yau‐San (3.80%). The most frequent main diagnosis was insomnia (15.58%), followed by menopause (5.22%) and constipation (5.09%).ConclusionThe survey revealed the drug use pattern of CMs in a general hospital. The majority of CM prescriptions were composed by 3–6 drugs and often prescribed for three times a day. Generally, the rational drug uses of CM drugs were provided with respect to the various diagnoses. Copyright © 2005 John Wiley & Sons, Ltd.

Keywords

Adult, Aged, 80 and over, Male, Adolescent, Age Factors, Taiwan, Middle Aged, Hospitals, General, Drug Prescriptions, Drug Utilization, Sex Factors, Humans, Female, Child, Aged, Drugs, Chinese Herbal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
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