Suppr超能文献

成人内科门诊有限药物处方集的评估

Evaluation of a limited drug formulary in an adult internal medicine clinic.

作者信息

Andersen J M, Ostry S, Uhl H S, Smith R E

出版信息

Am J Hosp Pharm. 1982 Jul;39(7):1184-6.

PMID:7114061
Abstract

The utility of a 30-drug, limited formulary in an adult internal medicine, ambulatory-care clinic was investigated. The formulary was developed using a mail survey of a random sample of members of the ASHP Ambulatory Care Pharmacy Practice Special Interest Group. The consensus formulary comprised the 30 most frequently recommended drugs; the utility of the formulary was then tested by chart review in a primary-care internal medicine clinic. Over a two-month period, the charts of alternating patients were reviewed daily; patient data collected included demographic information and prescribed drug therapy. A panel of two physicians and one pharmacist reviewed each patient's data and determined the appropriateness of drug treatment. If an agent was prescribed that was not on the consensus formulary, the panel determined whether an appropriate formulary agent could have been prescribed. Of the prescribed drug orders, 57.8% were for agents in the consensus formulary; by including patients who could have received formulary drugs appropriately, 73.7% of all prescription orders were or could have been for formulary drugs. Age, race, and sex of patients had no significant effect on utility of formulary agents. Had the 30 drugs most commonly prescribed in this clinic been in the formulary, 82.6% of all prescription orders would have been covered. This approach to establishing a new formulary and selecting drugs for inclusion is potentially useful.

摘要

研究了一份包含30种药物的有限处方集在成人内科门诊护理诊所中的效用。该处方集是通过对美国卫生系统药师协会门诊护理药学实践特别兴趣小组的成员进行随机抽样邮件调查而制定的。共识处方集包含30种最常被推荐的药物;然后在一家初级护理内科诊所通过病历审查来测试该处方集的效用。在两个月的时间里,每天对交替就诊患者的病历进行审查;收集的患者数据包括人口统计学信息和所开的药物治疗。由两名医生和一名药剂师组成的小组审查了每位患者的数据,并确定药物治疗的适当性。如果开出的药物不在共识处方集中,该小组会确定是否可以开出适当的处方集药物。在所开的药物订单中,57.8%是针对共识处方集中的药物;通过纳入那些本可适当使用处方集药物的患者,所有处方订单中有73.7%是或本可针对处方集药物。患者的年龄、种族和性别对处方集药物的效用没有显著影响。如果该诊所最常开出的30种药物在处方集中,那么所有处方订单的82.6%都将得到覆盖。这种建立新处方集并选择纳入药物的方法可能是有用的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验