Possibility of Drug-Drug Interaction in Prescription Dispensed by Community and Hospital Pharmacy

• 作者: Hina Qamar Huda Kafeel Jaweria Bawany Mehreen Jamshed Rabia Sheikh Ramsha Rukh Tazeen Hanif Urooj Bokhari Wardha Jawaid Yamna Mariam Saleem Yumna Javed
• 来源期刊: 药理与制药(英文)
• 学科: 医学
• 关键词: Drug-Drug Interaction ADVERSE DRUG Reaction POLYPHARMACY
• 年，卷（期）: 2014,（4）
• 页码范围: 401-407
• 页数: 7页
• 分类号: R73

摘要

Objective: To analyze the use of all subsidized prescription drugs including their use of drug combination generally accepted as carrying a risk of severe interactions. Methodology: In a cross sectional study, we analyzed all prescriptions (n = 1014) involving two or more drugs dispensed to the population (age range 4-85 years) from all pharmacies, clinics and hospitals. Data were stratified by age and sex, and frequency of common interacting drugs. Potential drug interactions were classified according to clinical relevance as significance of severity (types A: major, B: moderate, and C: minor) and documented evidence (types 1, 2, 3, and 4). Result and Discussion: The growing use of pharmacological agents means that drug interactions are of increasing interest for public health. Monitoring of potential drug interactions may improve the quality of drug prescribing and dispensing, and it might form a basis for education focused on appropriate prescribing. To make the manifestation of adverse interaction subside, management strategies must be exercised if two interacting drugs have to be taken with each other, involving: adjusting the dose of the object drug;spacing dosing times to avoid the interaction. The pharmacist, along with the prescriber has a duty to ensure that patients are aware of the risk of side effects and a suitable course of action they should take. Conclusion: It is unrealistic to expect clinicians to memorize the thousands of drug-drug interactions and their clinical significance, especially considering the rate of introduction of novel drugs and the escalating appreciation of the importance of pharmacogenomics. Reliable regularly updated decision support systems and information technology are necessary to help avert dangerous drug combinations.