Armstrong E P, Denemark C R
Department of Pharmacy Practice and Science, College of Pharmacy, University of Arizona, Tucson 85721, USA.
J Am Pharm Assoc (Wash). 1998 Mar-Apr;38(2):149-54. doi: 10.1016/s1086-5802(16)30314-x.
To quantify the type and frequency of drug utilization review (DUR) alerts sent by one claims processor to pharmacists; identify how pharmacists respond to these on-line, real-time DUR messages; and quantify the interventions taken by these pharmacists as a result of these alerts.
Retrospective analysis of Medicaid claims from July 1, 1995, through June 30, 1996.
State of Delaware.
55,000 Medicaid recipients served by 170 participating pharmacies and 2,000 physicians.
All on-line DUR alerts sent to pharmacists and the pharmacists' responses were categorized by alert type and analyzed by drug class.
Pharmacists' response (dispensed prescription, contacted prescriber, talked with patient, consulted own reference sources) and drug classes.
During the study period, 807,017 claims generated 83,260 DUR alerts involving 73,554 (9.1%) prescriptions. Prescriptions were not dispensed in 20.9% of cases because of the DUR message. Prescriptions were dispensed 17.7% of the time after the pharmacist contacted the prescriber, in 20.6% of cases after the pharmacist talked with the patient, and 37.2% of the time after reviewing internal resources. Action taken by pharmacists varied among and within DUR criteria categories. Specific examples of alerts generated in high-frequency and high-profile areas are reviewed, some of which generated inconsistent responses.
Among Delaware Medicaid providers, drug alerts resulted in pharmacists not dispensing prescriptions in a surprising percentage of situations. Pharmacists' responses varied according to the drug class involved and the type of alert received.
量化一家理赔处理机构发给药剂师的用药合理性审查(DUR)警报的类型和频率;确定药剂师如何应对这些在线实时DUR信息;并量化这些药剂师因这些警报而采取的干预措施。
对1995年7月1日至1996年6月30日期间的医疗补助理赔进行回顾性分析。
特拉华州。
由170家参与的药房和2000名医生服务的55000名医疗补助接受者。
发送给药剂师的所有在线DUR警报以及药剂师的回复按警报类型分类,并按药物类别进行分析。
药剂师的回复(配药、联系开处方者、与患者交谈、查阅自己的参考资料)和药物类别。
在研究期间,807017份理赔产生了83260条DUR警报,涉及73554份(9.1%)处方。由于DUR信息,20.9%的病例未配药。药剂师联系开处方者后,17.7%的病例配了药;药剂师与患者交谈后,20.6%的病例配了药;查阅内部资料后,37.2%的病例配了药。药剂师采取的行动在DUR标准类别之间和类别内部各不相同。对高频和引人注目的领域产生的警报的具体例子进行了回顾,其中一些产生了不一致的回复。
在特拉华州的医疗补助提供者中,药物警报导致药剂师在相当比例的情况下未配药。药剂师的回复因所涉及的药物类别和收到的警报类型而异。