Publication:
Effect of a computerized decision support system on potentially inappropriate medication prescriptions for elderly patients in Thailand

dc.contributor.authorVanida Praserten_US
dc.contributor.authorAiko Shonoen_US
dc.contributor.authorFarsai Chanjarupornen_US
dc.contributor.authorChanuttha Ploylearmsangen_US
dc.contributor.authorKeerataphan Boonnanen_US
dc.contributor.authorApinan Khampetdeeen_US
dc.contributor.authorManabu Akazawaen_US
dc.contributor.otherMeiji Pharmaceutical Universityen_US
dc.contributor.otherFaculty of Medicine, Ramathibodi Hospital, Mahidol Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherMahasarakham Universityen_US
dc.contributor.otherKhowang Hospitalen_US
dc.date.accessioned2020-01-27T10:37:54Z
dc.date.available2020-01-27T10:37:54Z
dc.date.issued2019-01-01en_US
dc.description.abstract© 2018 John Wiley & Sons, Ltd. Rationale, aims, and objectives: The prescription of potentially inappropriate medication (PIM) is a global issue associated with increased adverse drug events, mortality, and health care expenditure. Computerized decision support system (CDSS) for the detection of PIM is a novel alert system in Thailand for reducing PIM prescriptions. The aim of this study was to evaluate the effect of a CDSS on PIM prescriptions for elderly patients in Thai community hospitals. Methods: The study design comprised two phases with a duration of 12 months each: pre-CDSS implementation (October 2015-March 2016) and post-CDSS implementation (October 2016-March 2017). Medical services and prescription claims data from four hospitals were used to calculate the prevalence of PIM prescriptions among elderly patients aged 60 years and older. Chi-square tests were used to analyse changes in PIM prescriptions across hospitals post CDSS. Results: The overall prevalence of PIM prescriptions post-CDSS implementation significantly decreased from 87.7% to 74.4%. The severity of mild and moderate PIMs was significantly reduced from 71.9% to 49.0% and from 64.5% to 48.7%, respectively. All hospitals had only one severe PIM, which was hyoscine. It was reduced from 4.7% to 1.5%, but the change was not significant (P = 0.74). The proportion of frequently prescribed PIMs in all PIM levels was significantly decreased, regardless of existing alternative medications. Conclusions: Specific CDSS for PIM in community hospital setting was associated with a reduction of PIM prescription in elderly patients. This CDSS can change physician's prescription behaviour to avoid inappropriate medications.en_US
dc.identifier.citationJournal of Evaluation in Clinical Practice. Vol.25, No.3 (2019), 514-520en_US
dc.identifier.doi10.1111/jep.13065en_US
dc.identifier.issn13652753en_US
dc.identifier.issn13561294en_US
dc.identifier.other2-s2.0-85057456550en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/52357
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057456550&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleEffect of a computerized decision support system on potentially inappropriate medication prescriptions for elderly patients in Thailanden_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057456550&origin=inwarden_US

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