A comparison of four drug–drug interaction databases for patients undergoing haematopoietic stem cell transplantation.
What is known and objective: Patients who have undergone haematopoietic stem cell transplantation are prone to drug–drug interactions due to polypharmacy. Drug–drug interaction databases are essential tools for identifying interactions in this patient group. However, drug–drug interaction checkers,...
| Publicado en: | Journal of Clinical Pharmacy & Therapeutics Vol. 47; no. 10; pp. 1711 - 1720 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=159610476&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 159610476 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02694727 EV4 jtl: Journal of Clinical Pharmacy & Therapeutics issn: 02694727 maglogo: Y pubinfo: dt: Oct2022 vid: 47 iid: 10 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 159610476 157732519 159610476 159610476 10.1111/jcpt.13728 159610476 ppf: 1711 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: A comparison of four drug–drug interaction databases for patients undergoing haematopoietic stem cell transplantation. aug: au: Günay, Ayşe Demirpolat, Eren Ünal, Ali Aycan, Mükerrem Betül affil: Faculty of Pharmacy, Clinical Pharmacy Department, Erciyes University, Kayseri, Turkey sug: subj: Databases Drug Interactions Hematopoietic Stem Cell Transplantation Methods Decision Making, Clinical Physicians Pharmacists Human Retrospective Design Descriptive Statistics Data Analysis Software Confidence Intervals Male Female Young Adult Adult Middle Age Aged Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: What is known and objective: Patients who have undergone haematopoietic stem cell transplantation are prone to drug–drug interactions due to polypharmacy. Drug–drug interaction databases are essential tools for identifying interactions in this patient group. However, drug–drug interaction checkers, which help manage interactions, may have disagreements about assessing the existence or severance of the interactions. The study aimed to determine differences among popular drug–drug interaction databases from several angles for patients who underwent haematopoietic stem cell transplantation. Methods: The 21‐day treatment sheets of one hundred patients who underwent haematopoietic stem cell transplantation were examined in two subscription‐based (Uptodate and Micromedex) and two open‐access databases (Drugs.com and Epocrates) in terms of several categories two years in a row. Statistical analysis was utilized to understand the compatibility of databases in terms of severity scores, evidence levels, given references, and word counts in interaction reports. Fleiss' and Cohen's kappa statistics were used to analyse the databases' agreement levels. Results and discussion: A total of 1393 and 1382 different drug–drug interactions were detected in subsequent versions of the databases, namely the 2021 and 2022 versions. The Fleiss kappa overall agreement among databases was slight. Uptodate and Micromedex showed fair agreement, and other database pairs showed slight agreement in severity ratings. Conclusion: There was a poor agreement among databases for interactions seen in bone marrow transplantation patients. Therefore, it would be safer to use more than one database in daily practice. Further work needs to be done to understand the agreement level of databases for different types of interactions. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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