School of Pharmacy, Faculty of Medical Sciences, The University of the West Indies, Champs Fleurs, Trinidad and Tobago.
Department of Clinical and Administrative Pharmacy, College of Pharmacy, University of Georgia, Athens, GA.
Health Serv Res. 2018 Feb;53(1):405-429. doi: 10.1111/1475-6773.12641. Epub 2016 Dec 26.
To identify determinants of potentially inappropriate (PI) antidepressant and anxiolytic/sedative prescribing for older, community-dwelling adults.
DATA SOURCES/STUDY SETTING: Office visits from the 2010 National Ambulatory Medical Care Survey.
A cross-sectional study measuring associations between various patient and physician factors and prescribing of PI antidepressants, and PI sedatives among elderly, using Beers 2012/2015 criteria, a clinical decision model, and multivariate logistic regressions.
Visits by older adults (≥65 years) involving medications were extracted to identify visits with antidepressants and sedatives.
Black race, asthma, depression, osteoporosis, payment type, consultation time, and computer systems with prescribing support were associated with reduced odds of PI antidepressant prescribing among users. Income, chronic renal failure, diabetes, and obesity were associated with reduced odds of PI sedative prescribing. Female sex, white race, depression, increasing number of medications, and physician specialty were associated with increased odds of PI sedative prescribing.
Various patient and health-system factors influence the quality of antidepressant and sedative prescribing for older community-dwelling adults. Longer consultations and the use of computer systems with prescribing support may minimize potentially inappropriate antidepressant prescribing. As medication numbers increase, exposure to PI sedatives is more likely, requiring medication review and monitoring.
确定导致老年社区居民接受潜在不适当(PI)抗抑郁药和镇静/安定类药物处方的因素。
数据来源/研究设置:2010 年国家门诊医疗调查的就诊记录。
横断面研究,使用 Beers 2012/2015 标准、临床决策模型和多变量逻辑回归,衡量各种患者和医生因素与 PI 抗抑郁药和镇静剂处方之间的关联,这些因素涉及老年患者。
从老年人(≥65 岁)的就诊记录中提取涉及药物的记录,以识别使用抗抑郁药和镇静剂的就诊记录。
黑人种族、哮喘、抑郁、骨质疏松症、支付类型、就诊时间和具有处方支持的计算机系统与使用者 PI 抗抑郁药处方的可能性降低相关。收入、慢性肾衰竭、糖尿病和肥胖与 PI 镇静剂处方的可能性降低相关。女性、白种人、抑郁、使用的药物数量增加以及医生专业与 PI 镇静剂处方的可能性增加相关。
各种患者和医疗系统因素影响老年社区居民接受抗抑郁药和镇静剂处方的质量。延长咨询时间和使用具有处方支持的计算机系统可能会最大限度地减少潜在不适当的抗抑郁药处方。随着用药数量的增加,接触 PI 镇静剂的可能性增加,需要进行药物审查和监测。