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Quality of interaction database management systems
OBJECTIVE: To identify drug interaction databases (DID) and assess the quality of their structures. METHOD: A search was made of the literature for DID and a series of exclusion and structural quality criteria were defined (at least 4 quality criteria: classification according to severity, classific...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedad Española de Farmacia Hospitalaria. Published by Elsevier España S.L.
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148979/ http://dx.doi.org/10.1016/S2173-5085(09)70079-6 |
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author | Rodríguez-Terol, A. Caraballo, M.O. Palma, D. Santos-Ramos, B. Molina, T. Desongles, T. Aguilar, A. |
author_facet | Rodríguez-Terol, A. Caraballo, M.O. Palma, D. Santos-Ramos, B. Molina, T. Desongles, T. Aguilar, A. |
author_sort | Rodríguez-Terol, A. |
collection | PubMed |
description | OBJECTIVE: To identify drug interaction databases (DID) and assess the quality of their structures. METHOD: A search was made of the literature for DID and a series of exclusion and structural quality criteria were defined (at least 4 quality criteria: classification according to severity, classification according to level of evidence, bibliographical reference data, description of clinical management, and 11 criteria used for weighting). The level of compliance of every DID with the criteria defined was analysed, together with the level of compliance of each criteria in each DID. RESULTS: A total of 54 DID were identified, 30 of which complied with exclusion criteria and 15 of which did not meet the minimum criteria. The rest of the criteria were evaluated in 9 DID: Botplus and Medinteract (100%), SEFH Guide, Lexi-interact and Medscape (89%), Hansten (83%), Micromedex and Stockley (78%), Drug Interactions Facts (68%). Ninety-two percent of the DID describe the mechanism of action, 87% classify the information according to the active ingredient, 75% do not state they have any conflict of interest, classify according to level of severity, have electronic format, and are easy to search. A total of 67% are specific DID, 62% are classified according to level of evidence, contain bibliographical references, and describe clinical management. CONCLUSIONS: A third of the DID comply with the minimum criteria. Differences were observed in the level and compliance criteria among Spanish and foreign DID. Some of the main DID used as references in the bibliography have significant structural defects: no web presentation, no multi-check function and others. |
format | Online Article Text |
id | pubmed-7148979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Sociedad Española de Farmacia Hospitalaria. Published by Elsevier España S.L. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71489792020-04-13 Quality of interaction database management systems Rodríguez-Terol, A. Caraballo, M.O. Palma, D. Santos-Ramos, B. Molina, T. Desongles, T. Aguilar, A. Farmacia Hospitalaria (English Edition) Article OBJECTIVE: To identify drug interaction databases (DID) and assess the quality of their structures. METHOD: A search was made of the literature for DID and a series of exclusion and structural quality criteria were defined (at least 4 quality criteria: classification according to severity, classification according to level of evidence, bibliographical reference data, description of clinical management, and 11 criteria used for weighting). The level of compliance of every DID with the criteria defined was analysed, together with the level of compliance of each criteria in each DID. RESULTS: A total of 54 DID were identified, 30 of which complied with exclusion criteria and 15 of which did not meet the minimum criteria. The rest of the criteria were evaluated in 9 DID: Botplus and Medinteract (100%), SEFH Guide, Lexi-interact and Medscape (89%), Hansten (83%), Micromedex and Stockley (78%), Drug Interactions Facts (68%). Ninety-two percent of the DID describe the mechanism of action, 87% classify the information according to the active ingredient, 75% do not state they have any conflict of interest, classify according to level of severity, have electronic format, and are easy to search. A total of 67% are specific DID, 62% are classified according to level of evidence, contain bibliographical references, and describe clinical management. CONCLUSIONS: A third of the DID comply with the minimum criteria. Differences were observed in the level and compliance criteria among Spanish and foreign DID. Some of the main DID used as references in the bibliography have significant structural defects: no web presentation, no multi-check function and others. Sociedad Española de Farmacia Hospitalaria. Published by Elsevier España S.L. 2009 2012-02-20 /pmc/articles/PMC7148979/ http://dx.doi.org/10.1016/S2173-5085(09)70079-6 Text en © 2009 Sociedad Española de Farmacia Hospitalaria Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Rodríguez-Terol, A. Caraballo, M.O. Palma, D. Santos-Ramos, B. Molina, T. Desongles, T. Aguilar, A. Quality of interaction database management systems |
title | Quality of interaction database management systems |
title_full | Quality of interaction database management systems |
title_fullStr | Quality of interaction database management systems |
title_full_unstemmed | Quality of interaction database management systems |
title_short | Quality of interaction database management systems |
title_sort | quality of interaction database management systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148979/ http://dx.doi.org/10.1016/S2173-5085(09)70079-6 |
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