Literature DB >> 19712597

[Quality of interaction database management systems].

A Rodríguez-Terol1, M O Caraballo, D Palma, B Santos-Ramos, T Molina, T Desongles, A Aguilar.   

Abstract

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 four 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 nine DID: Bot-plus and Medinteract (100 %), SEFH Guide, Lexi-interact and Medscape (89 %), Hansten (83 %), Micromedex and Stockley (78 %), Drug Interactions Facts (68 %). Ninety-two per cent 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.

Mesh:

Year:  2009        PMID: 19712597

Source DB:  PubMed          Journal:  Farm Hosp        ISSN: 1130-6343


  15 in total

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2.  [A hazard scale for severe interactions: a tool for establishing prioritising strategies to improve the safety of the prescription in family medicine].

Authors:  Julio J López-Picazo; Juan C Ruiz; José F Sánchez; Angeles Ariza; Belén Aguilera
Journal:  Aten Primaria       Date:  2011-01-07       Impact factor: 1.137

Review 3.  Prevalence of drug interactions in elderly patients with multimorbidity in primary care.

Authors:  Susana Sánchez-Fidalgo; Maria Isabel Guzmán-Ramos; Mercedes Galván-Banqueri; Máximo Bernabeu-Wittel; Bernardo Santos-Ramos
Journal:  Int J Clin Pharm       Date:  2017-02-25

4.  Role of clinical pharmacists to prevent drug interactions in cancer outpatients: a single-centre experience.

Authors:  Carmen Lopez-Martin; Margarita Garrido Siles; Julia Alcaide-Garcia; Vicente Faus Felipe
Journal:  Int J Clin Pharm       Date:  2014-10-19

Review 5.  Prevalence of drug interactions in hospital healthcare.

Authors:  María Espinosa-Bosch; Bernardo Santos-Ramos; María Victoria Gil-Navarro; María Dolores Santos-Rubio; Roberto Marín-Gil; Paloma Villacorta-Linaza
Journal:  Int J Clin Pharm       Date:  2012-09-11

6.  Potentially inappropriate prescribing and drug-drug interactions among elderly Chinese nursing home residents in Macao.

Authors:  Cheng Kin Lao; Sao Chan Ho; Ka Kit Chan; Chon Fai Tou; Henry Hoi Yee Tong; Alexandre Chan
Journal:  Int J Clin Pharm       Date:  2013-06-28

7.  A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents.

Authors:  Isabel Segura-Bedmar; Paloma Martínez; César de Pablo-Sánchez
Journal:  BMC Bioinformatics       Date:  2011-03-29       Impact factor: 3.169

8.  Potential drug-drug interactions and their risk factors in pediatric patients admitted to the emergency department of a tertiary care hospital in Mexico.

Authors:  Olga Morales-Ríos; Luis Jasso-Gutiérrez; Alfonso Reyes-López; Juan Garduño-Espinosa; Onofre Muñoz-Hernández
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

9.  Extracting drug-drug interaction from the biomedical literature using a stacked generalization-based approach.

Authors:  Linna He; Zhihao Yang; Zhehuan Zhao; Hongfei Lin; Yanpeng Li
Journal:  PLoS One       Date:  2013-06-13       Impact factor: 3.240

10.  A single kernel-based approach to extract drug-drug interactions from biomedical literature.

Authors:  Yijia Zhang; Hongfei Lin; Zhihao Yang; Jian Wang; Yanpeng Li
Journal:  PLoS One       Date:  2012-11-01       Impact factor: 3.240

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