Suppr超能文献

利用行政数据衡量医疗保健系统中的抗抑郁药物处方实践:对质量测量与改进的启示。

Measuring antidepressant prescribing practice in a health care system using administrative data: implications for quality measurement and improvement.

作者信息

Kerr E A, McGlynn E A, Van Vorst K A, Wickstrom S L

机构信息

Veterans Affairs (VA) Center for Practice Management and Outcomes Research, Ann Arbor VA Healthcare System, USA.

出版信息

Jt Comm J Qual Improv. 2000 Apr;26(4):203-16. doi: 10.1016/s1070-3241(00)26015-x.

Abstract

BACKGROUND

Up to one in eight Americans experiences an episode of depression that requires treatment in his or her lifetime. The direct and indirect costs associated with major depression are high but may be reduced with appropriate treatment. To decrease the probability of relapse, guidelines specify that treatment with antidepressant medications should continue for at least 4 months after symptom remission and that adequate doses of antidepressants be used. A study was conducted in 1997-1999 to examine how different specifications in the construction of quality of care measures for depression treatment influence conclusions about the adequacy of antidepressant prescribing practices.

METHODS

Subjects were all adult members of two United Healthcare plans who each had at least one outpatient or inpatient claim with a diagnosis of depression during the years 1993-1995 and were continuously enrolled for 12 months. Pharmacy claims data were used to construct measures of duration of treatment, dose, and type of antidepressant. The effects of two different definitions of a new episode (4-month versus 9-month clean period) and two different ways of identifying an episode of depression (one visit versus two visits with a code for depression) were examined on conclusions about adequacy of antidepressant prescribing practices (dose and duration). Whether antidepressant type was related to the likelihood that antidepressants were prescribed at therapeutic doses was also examined.

RESULTS

Patients with two or more visits with depression diagnosis codes were significantly more likely to receive antidepressants than those with only one visit, and were more likely to receive therapeutic doses at each time period (1-5 months). The duration of the clean period was not related to conclusions about therapeutic dosing. Among persons receiving antidepressants, those receiving selective serotonin reuptake inhibitors (SSRIs) were more likely to receive therapeutic doses and to continue treatment for at least 5 months than were those prescribed other classes of antidepressants. In multivariate analysis, being prescribed an SSRI versus another class of antidepressants was significantly associated with receiving both 1 month (OR = 7.3 [5.7-9.3]) and 5 months (OR = 2.0 [1.6-2.5]) of therapeutic treatment.

DISCUSSION

Conclusions regarding the appropriateness of antidepressant prescribing can vary markedly, depending on how the quality measure is specified. Given that administrative data are and will continue to be used for both monitoring and quality improvement purposes in the short run, it is critical that we understand how variations in measurement specifications influence the conclusions that are drawn about treatment of depression in health plans.

摘要

背景

多达八分之一的美国人在其一生中会经历一次需要治疗的抑郁症发作。与重度抑郁症相关的直接和间接成本很高,但通过适当治疗可能会降低。为降低复发概率,指南规定抗抑郁药物治疗应在症状缓解后至少持续4个月,并应使用足够剂量的抗抑郁药。1997年至1999年进行了一项研究,以探讨抑郁症治疗护理质量衡量标准构建中的不同规范如何影响关于抗抑郁药处方实践充分性的结论。

方法

研究对象为两项联合健康保险计划的所有成年成员,他们在1993年至1995年期间每人至少有一次门诊或住院诊断为抑郁症的记录,并连续参保12个月。药房报销数据用于构建治疗持续时间、剂量和抗抑郁药类型的衡量标准。研究了新发作的两种不同定义(4个月与9个月的无病期)和确定抑郁症发作的两种不同方式(一次就诊与两次带有抑郁症代码的就诊)对关于抗抑郁药处方实践充分性(剂量和持续时间)结论的影响。还研究了抗抑郁药类型是否与以治疗剂量开具抗抑郁药的可能性相关。

结果

有两次或更多次抑郁症诊断代码就诊的患者比只有一次就诊的患者更有可能接受抗抑郁药治疗,并且在每个时间段(1至5个月)更有可能接受治疗剂量。无病期的持续时间与治疗剂量的结论无关。在接受抗抑郁药治疗的人群中,接受选择性5-羟色胺再摄取抑制剂(SSRI)的患者比服用其他类抗抑郁药的患者更有可能接受治疗剂量并持续治疗至少5个月。在多变量分析中,开具SSRI与开具其他类抗抑郁药相比,与接受1个月(比值比[OR]=7.3[5.7 - 9.3])和5个月(OR = 2.0[1.6 - 2.5])的治疗显著相关。

讨论

关于抗抑郁药处方是否恰当的结论可能会有显著差异,这取决于质量衡量标准的具体规定方式。鉴于行政数据在短期内正在并将继续用于监测和质量改进目的,至关重要的是我们要了解测量规范的变化如何影响对健康计划中抑郁症治疗得出 的结论。

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