接受基于个人数字助理的筛查提醒的护士的抑郁筛查率的预测因素。
Predictors of depression screening rates of nurses receiving a personal digital assistant-based reminder to screen.
机构信息
School of Nursing, Columbia University, 617 W. 168th Street, New York, NY 10032, USA.
出版信息
J Urban Health. 2010 Jul;87(4):703-12. doi: 10.1007/s11524-010-9464-2.
Abstract
The purpose of this study was to determine if race/ethnicity, payer type, or nursing specialty affected depression screening rates in primary care settings in which nurses received a reminder to screen. The sample comprised 4,160 encounters in which nurses enrolled in advanced practice training were prompted to screen for depression using the Patient Health Questionnaire (PHQ)-2/PHQ-9 integrated into a personal digital assistant-based clinical decision support system for depression screening and management. Nurses chose to screen in response to 52.5% of reminders. Adjusted odds ratios showed that payer type and nurse specialty, but not race/ethnicity, significantly predicted proportion of patients screened.
摘要
这项研究的目的是确定在护士收到筛查提醒的初级保健环境中，种族/民族、付款人类型或护理专业是否会影响抑郁筛查率。该样本包括 4160 次就诊，其中接受高级实践培训的护士使用患者健康问卷（PHQ）-2/PHQ-9 被提示对抑郁进行筛查，该问卷整合到基于个人数字助理的抑郁筛查和管理临床决策支持系统中。护士选择对 52.5%的提醒进行筛查。调整后的优势比显示，付款人类型和护士专业，而不是种族/民族，显著预测了筛查患者的比例。
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