Kramer Teresa L, Owen Richard R, Cannon Dale, Sloan Kevin L, Thrush Carol R, Williams D Keith, Austen Mark A
Department of Psychiatry and Behavioral Sciences, University of Arkansas for Medical Sciences (UAMS), Little Rock, Arkansas, USA.
Jt Comm J Qual Saf. 2003 Sep;29(9):479-89. doi: 10.1016/s1549-3741(03)29057-2.
Because most guidelines focus on patients with new episodes of depression, algorithms to identify such samples must be accurate. This study examined whether the Veterans Health Administration's (VHA's) electronic medical record database could identify valid cases of new-onset depression.
Of 109 individuals receiving outpatient care at one of three VHA medical centers who were identified with newly diagnosed depressive disorder, 39 (35.8%) actually had documentation of depression diagnosis and antidepressant prescription or other treatment within the previous six months. Good to excellent agreement was found between indicators of guideline-concordant care using automated and manual chart review methods.
Electronic medical records can validly identify many cases of new-onset depression, although with a higher-than-anticipated rate of false-positives. Half of depressed veterans received care consistent with clinical guidelines for psychopharmacological intervention, regardless of data source.
Clinical managers, administrators, and policy advocates must weigh the cost-benefit of administrative versus medical record reviews to assess quality.
由于大多数指南关注的是新发抑郁症患者,因此识别此类样本的算法必须准确。本研究考察了退伍军人健康管理局(VHA)的电子病历数据库能否识别新发抑郁症的有效病例。
在三个VHA医疗中心之一接受门诊治疗且被确诊为新发性抑郁症的109人中,39人(35.8%)在过去六个月内确实有抑郁症诊断及抗抑郁药处方或其他治疗的记录。使用自动和手动图表审查方法在符合指南护理指标之间发现了良好至极好的一致性。
电子病历可以有效地识别许多新发抑郁症病例,尽管假阳性率高于预期。无论数据来源如何,一半的抑郁症退伍军人接受了符合精神药物干预临床指南的护理。
临床管理人员、行政人员和政策倡导者必须权衡行政审查与病历审查的成本效益,以评估质量。