2020
DOI: 10.1186/s12913-020-5072-3
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Trends of ambulatory oral anticoagulant prescription in five major cities of China, 2012–2017

Abstract: Background: The introduction of non-VKA oral anticoagulants (NOACs) has changed the landscape of preventing thromboembolism events in many countries. However, the prescription trends of oral anticoagulant (OAC) in China are still unclear, which were evaluated in this study through data extracted and summarized from 5 major cities as representatives. Methods: This study was designed as a time-series study which was based on pharmacy prescription data. Analysis was performed on yearly aggregated visits and expen… Show more

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Cited by 24 publications
(26 citation statements)
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“…The prescriptions were extracted from the database of the Hospital Prescription Analysis Cooperative Project. This database is widely used for pharmaco-epidemiology studies in China [ 37 , 38 , 39 , 40 , 41 , 42 ]. The database contains prescription information of participating hospitals on 40 random days each year.…”
Section: Methodsmentioning
confidence: 99%
“…The prescriptions were extracted from the database of the Hospital Prescription Analysis Cooperative Project. This database is widely used for pharmaco-epidemiology studies in China [ 37 , 38 , 39 , 40 , 41 , 42 ]. The database contains prescription information of participating hospitals on 40 random days each year.…”
Section: Methodsmentioning
confidence: 99%
“…The prescriptions were extracted from the database of the Hospital Prescription Analysis Cooperative Project, which was used in our previous studies and many other Chinese epidemiological studies (9)(10)(11)(12)(13). The database contains prescription information from participating hospitals on 40 random days each year.…”
Section: Data Source and Study Samplementioning
confidence: 99%
“…Prescription data were extracted from the database of the Hospital Prescription Analysis Cooperative Program, which has been widely used in Chinese pharmaco-epidemiology studies ( Yu et al, 2019 ; Yu et al, 2020a ; Yu et al, 2020b ; Yu et al, 2020c ; Yu et al, 2020d ; Yu et al, 2020e ). Participating hospitals provided data on prescriptions to the program for each sampling day.…”
Section: Methodsmentioning
confidence: 99%