2009
DOI: 10.1016/s2173-5085(09)70079-6
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Quality of interaction database management systems

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Cited by 20 publications
(19 citation statements)
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“…The growing concern with drug interactions led to the development of a large number of programs to identify drug interactions in medical prescriptions in the hospital, community pharmacy, and outpatient settings [20].…”
Section: Discussionmentioning
confidence: 99%
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“…The growing concern with drug interactions led to the development of a large number of programs to identify drug interactions in medical prescriptions in the hospital, community pharmacy, and outpatient settings [20].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, software to be used in this setting should have a significant number of drugs registered in its database and periodically incorporate new therapeutic agents. The employment of imported software might lead to problems of drug interaction identification if there are discrepancies between the medications available in the pharmaceutical market where the software was developed and the ones in which it is to be used [20]. This fact reinforces the importance of evaluating the medications registered in drug interaction software.…”
Section: Discussionmentioning
confidence: 99%
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“…Thus, the software meets the requirements defined for this type of programs. (Gaikwad et al, 2007;Rodríguez et al, 2009) d. Software implementation. The program, posterior to entering drug treatment of a specific patient, generate the list of possible interactions with clinical relevance, accompanied by the suggestion of the most appropriate process to be followed by the healthcare professional user of the program.…”
Section: Software For Evaluating and Predicting Clinical Relevance Ofmentioning
confidence: 99%
“…The scaling of these 1,082 drug pairs of recognized DIs, according to different dosage forms and strengths of identified drugs, generates a total of 6,087 pairs of DIs, in which, according their clinical relevance, 4,158 (68.3%) are clinical relevant (Levels 1 and 2) in HIV-infected patients receiving ARV therapy. Thus, the designed software meets the requirements defined for this type of program (Gaikwad et al, 2007;Rodríguez et al, 2009) and most important it facilitates the assessment, prediction, and decision on clinical relevance of 4,158 ARV DIs, which are considered of clinical interest in patients with HIV/AIDS (levels 1 and 2). Based on the pharmacological mechanism that explains the non-therapeutic and quantitative modification in the magnitude or duration of the drug effect, the DI may be classified as:  Pharmacokinetic DI: The non-therapeutic and quantitative modification in the magnitude or duration of the drug effect is explained mainly by a change in the drug plasma concentration associate with substance or situation that causes the DI.…”
mentioning
confidence: 99%