scholarly journals Assessment of Drug-Drug Interaction in Ayder Comprehensive Specialized Hospital, Mekelle, Northern Ethiopia: A Retrospective Study

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Zeru Gebretsadik ◽  
Micheale Gebrehans ◽  
Desalegn Getnet ◽  
Desye Gebrie ◽  
Tsgab Alema ◽  
...  

Introduction. Adverse drug interaction is a major cause of morbidity and mortality. Its occurrence is influenced by a multitude of factors. The influences of drug-drug interactions (DDIs) can be minimized through creation of awareness to health care professionals. Objective. The objective of this study was to assess DDIs in Ayder Comprehensive Specialized Hospital (ACSH). Methodology. A retrospective study design was employed on patient prescriptions available in the outpatient department of pharmacy and filled from September 2016 to February 2017 in ACSH. Result. From the 600 prescription records assessed, the average number of drugs on single prescription was 2.73. Regarding the interaction observed 34 (9.63%) prescriptions with major drug-drug interaction, 210 (59.5%) moderate, 87 (24.65%) minor, and 22 (6.22%) unknown were identified. Age category showed significant association to affect the occurrence of DDIs and polypharmacy had statistically significant association with DDIs in bivariate analysis which was lost in adjusted OR. Conclusion. From the current study it can be concluded that nearly half of the prescription ordered in ACSH contained DDIs and from the prescription with interacting medications majority of them had moderate DDIs.

2016 ◽  
Vol 5 (4) ◽  
pp. 288-292
Author(s):  
Sulastri Herdaningsih ◽  
◽  
Ahmad Muhtadi ◽  
Keri Lestari ◽  
Nurul Annisa ◽  
...  

2021 ◽  
pp. 68-70
Author(s):  
Tabassum Fathima ◽  
Prukruthi R ◽  
Manikandan A ◽  
Muhammed Ramees P K ◽  
Leena Pavitha P

The study aims to describe the use of antimicrobials among adult population in hospital settings with emphasis on the antimicrobial therapy provided and potential antimicrobial drug-drug interactions identified. 108 adult patients who were prescribed antimicrobials were considered for this retrospective study which was carried out over a period of 3 months. It was identified that antimicrobials prescribed were largely antibacterial (91.2%) with Piperacillin + Tazobactam (24 times) and Cefuroxime (15 times) being the most commonly prescribed antimicrobials on treatment and discharge, respectively. Upon assessing the antimicrobial therapy, it was identified that antimicrobials were predominantly prescribed empirically (57.4%) and monotherapy was observed more, both on treatment (52.8%) and discharge (47.2%). A total of 79 different potential antimicrobial drug-drug interactions were identified, out of which, 64.6% were major interactions. Ciprofloxacin + Metronidazole drug-drug interaction was the most common drug interaction observed 6 times, whereas clarithromycin and ciprofloxacin caused the greatest number of interactions with a frequency of 10 instances each. Ondansetron was the non-antimicrobial drug that caused the greatest number of drug interactions (21.2%). The present study reinforces that antibiotics and other antimicrobials are a group of very commonly prescribed medications in the hospital with a variety of indications. An important, but often unheeded aspect of therapy is antimicrobial interactions with other drugs, which this study has highlighted.


2013 ◽  
Vol 27 (8) ◽  
pp. 2331-2334 ◽  
Author(s):  
Zdeněk Dvořák ◽  
Aneta Novotná ◽  
Ján Vančo ◽  
Zdeněk Trávníček

2014 ◽  
Vol 05 (03) ◽  
pp. 603-611 ◽  
Author(s):  
S. K. Sauter ◽  
L. M. Neuhofer ◽  
D. Edlinger ◽  
W. Grossmann ◽  
M. Wolzt ◽  
...  

Summary Objective: The objective of this study is to estimate the amount of severe drug-drug interaction warnings per medical specialist group triggered by prescribed drugs of a patient before and after the introduction of a nationwide eMedication system in Austria planned for 2015. Methods: The estimations of interaction warnings are based on patients’ prescriptions of a single health care professional per patient, as well as all patients’ prescriptions from all visited health care professionals. We used a research database of the Main Association of Austrian Social Security Organizations that contains health claims data of the years 2006 and 2007. Results: The study cohort consists of about 1 million patients, with 26.4 million prescribed drugs from about 3,400 different health care professionals. The estimation of interaction warnings show a heterogeneous pattern of severe drug-drug-interaction warnings across medical specialist groups. Conclusion: During an eMedication implementation it must be taken into consideration that different medical specialist groups require customized support. Citation: Rinner C, Sauter SK, Neuhofer LM, Edlinger D, Grossmann W, Wolzt M, Endel G, Gall W. Estimation of severe drug-drug interaction warnings by medical specialist groups for Austrian nationwide eMedication. Appl Clin Inf 2014; 5: 603–611http://dx.doi.org/10.4338/ACI-04-RA-0030


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