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患者激活评分对一年后抑郁结局的预测效果如何?

How well do patient activation scores predict depression outcomes one year later?

机构信息

School of Nursing, George Washington University, 2030 M Street NW, Suite 300, Washington, DC 20036, USA.

School of Nursing, George Washington University, 2030 M Street NW, Suite 300, Washington, DC 20036, USA.

出版信息

J Affect Disord. 2014 Dec;169:1-6. doi: 10.1016/j.jad.2014.07.030. Epub 2014 Jul 30.

Abstract

BACKGROUND

This study examines the relationship between patient activation, a measure of individuals׳ knowledge, skill, and confidence for managing their health, and rates of depression remission and response among patients with depression.

METHODS

Patients from Fairview Health Services in Minnesota with moderate to severe depression in 2011 and a PHQ-9 score in 2012 were included in the analysis (n=5253). Patient activation in 2011 and other health and demographic features were extracted from the electronic health record. We examined how patient activation predicted depression remission and response rates and changes in depression severity over one year using regression models. We also explored how activation predicted healthy behaviors among depressed patients.

RESULTS

Higher baseline patient activation predicted lower depression severity and higher depression remission and response rates a year later. The most activated patients had PHQ-9 scores in 2012 two points lower than the lowest activated patients, and they had twice the odds of remission. Activation also predicted increase in healthy behaviors.

LIMITATIONS

We were unable to examine the use of mental health services or control for the number of prior depressive episodes and duration of the current depressive episode in the analysis.

CONCLUSIONS

We found that higher patient activation predicted better depression outcomes. While we are unable to explore the mechanism of this association, we observed that more activated patients are also engaged in more healthy behaviors, suggesting that the mechanism may be behavioral. Support of patient activation may be an effective approach for providers to reduce patients׳ depression severity.

摘要

背景

本研究考察了患者激活与抑郁缓解率和反应率之间的关系,患者激活是衡量个体管理自身健康的知识、技能和信心的指标。

方法

本研究纳入了 2011 年在明尼苏达州费尔维尤卫生服务中心就诊、抑郁程度为中重度且在 2012 年 PHQ-9 评分大于等于 10 分的患者(n=5253)。从电子病历中提取患者在 2011 年的患者激活情况和其他健康及人口统计学特征。我们采用回归模型考察了患者激活在一年时间内对抑郁缓解率和反应率以及抑郁严重程度变化的预测作用。我们还探讨了激活对抑郁患者健康行为的预测作用。

结果

基线患者激活程度越高,一年后抑郁严重程度越低,抑郁缓解率和反应率越高。最活跃的患者在 2012 年的 PHQ-9 评分为 2 分低于最不活跃的患者,他们的缓解率是最不活跃患者的两倍。激活程度还预测了健康行为的增加。

局限性

我们无法在分析中检验心理健康服务的使用情况,也无法控制抑郁发作次数和当前抑郁发作持续时间。

结论

我们发现患者激活程度越高,抑郁结局越好。虽然我们无法探究这种关联的机制,但我们观察到更活跃的患者也更积极地参与健康行为,这表明该机制可能是行为层面的。支持患者激活可能是提供者降低患者抑郁严重程度的有效方法。

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