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基层医疗中产后抑郁症的识别方法:综合证据合成与信息价值分析

Methods to identify postnatal depression in primary care: an integrated evidence synthesis and value of information analysis.

作者信息

Hewitt C, Gilbody S, Brealey S, Paulden M, Palmer S, Mann R, Green J, Morrell J, Barkham M, Light K, Richards D

机构信息

Department of Health Sciences, University of York, UK.

出版信息

Health Technol Assess. 2009 Jul;13(36):1-145, 147-230. doi: 10.3310/hta13360.

DOI:10.3310/hta13360
PMID:19624978
Abstract

OBJECTIVES

To provide an overview of methods to identify postnatal depression (PND) in primary care and to assess their validity, acceptability, clinical effectiveness and cost-effectiveness, to model estimates of cost, to assess whether any method meets UK National Screening Committee (NSC) criteria and to identify areas for future research.

DATA SOURCES

Searches of 20 electronic databases (including MEDLINE, CINAHL, PsycINFO, EMBASE, CENTRAL, DARE and CDSR), forward citation searching, personal communication with authors and searching of reference lists.

REVIEW METHODS

A generalised linear mixed model approach to the bivariate meta-analysis was undertaken for the validation review with quality assessment using QUADAS. Within the acceptability review, a textual narrative approach was employed to synthesise qualitative and quantitative research evidence. For the clinical and cost-effectiveness reviews methods outlined by the Centre for Reviews and Dissemination and the Cochrane Collaboration were followed. Probabilistic models were developed to estimate the costs associated with different identification strategies.

RESULTS

The Edinburgh Postnatal Depression Scale (EPDS) was the most frequently explored instrument across all of the reviews. In terms of test performance, postnatally the EPDS performed reasonably well: sensitivity ranged from 0.60 (specificity 0.97) to 0.96 (specificity 0.45) for major depression only; from 0.31 (specificity 0.99) to 0.91 (specificity 0.67) for major or minor depression; and from 0.38 (specificity 0.99) to 0.86 (specificity 0.87) for any psychiatric disorder. Evidence from the acceptability review indicated that, in the majority of studies, the EPDS was acceptable to women and health-care professionals when women were forewarned of the process, when the EPDS was administered in the home, with due attention to training, with empathetic skills of the health visitor and due consideration to positive responses to question 10 about self-harm. Suggestive evidence from the clinical effectiveness review indicated that use of the EPDS, compared with usual care, may lead to reductions in the number of women with depression scores above a threshold. In the absence of existing cost-effectiveness studies of PND identification strategies, a decision-analytic model was developed. The results of the base-case analysis suggested that use of formal identification strategies did not appear to represent value for money, based on conventional thresholds of cost-effectiveness used in the NHS. However, the scenarios considered demonstrated that this conclusion was primarily driven by the costs of false positives assumed in the base-case model.

CONCLUSIONS

In light of the results of our evidence synthesis and decision modelling we revisited the examination of PND screening against five of the NSC criteria. We found that the accepted criteria for a PND screening programme were not currently met. The evidence suggested that there is a simple, safe, precise and validated screening test, in principle a suitable cut-off level could be defined and that the test is acceptable to the population. Evidence surrounding clinical and cost-effectiveness of methods to identify PND is lacking. Further research should aim to identify the optimal identification strategy, in terms of key psychometric properties for postnatal populations. In particular, research comparing the performance of the Whooley and help questions, the EPDS and a generic depression measure would be informative. It would also be informative to identify the natural history of PND over time and to identify the clinical effectiveness of the most valid and acceptable method to identify postnatal depression. Further research within a randomised controlled trial would provide robust estimates of the clinical effectiveness.

摘要

目的

概述在初级保健中识别产后抑郁症(PND)的方法,并评估其有效性、可接受性、临床效果和成本效益,建立成本估算模型,评估是否有任何方法符合英国国家筛查委员会(NSC)的标准,并确定未来研究的领域。

数据来源

检索20个电子数据库(包括MEDLINE、CINAHL、PsycINFO、EMBASE、CENTRAL、DARE和CDSR),进行向前引文检索,与作者进行个人交流,并检索参考文献列表。

综述方法

在验证性综述中采用广义线性混合模型方法进行双变量荟萃分析,并使用QUADAS进行质量评估。在可接受性综述中,采用文本叙述方法综合定性和定量研究证据。对于临床和成本效益综述,遵循了综述与传播中心和Cochrane协作网概述的方法。开发了概率模型来估计与不同识别策略相关的成本。

结果

爱丁堡产后抑郁量表(EPDS)是所有综述中探讨最频繁的工具。在测试性能方面,产后EPDS表现相当不错:仅针对重度抑郁症,敏感性范围为0.60(特异性0.97)至0.96(特异性0.45);针对重度或轻度抑郁症,敏感性范围为0.31(特异性0.99)至0.91(特异性0.67);针对任何精神障碍,敏感性范围为0.38(特异性0.99)至0.86(特异性0.87)。可接受性综述的证据表明,在大多数研究中,当提前告知女性该过程、在家庭中进行EPDS测试、充分重视培训、健康访视员具备同理心技能并适当考虑对关于自我伤害的问题10的积极回应时,女性和医疗保健专业人员对EPDS是可接受的。临床效果综述的提示性证据表明,与常规护理相比,使用EPDS可能会使抑郁评分高于阈值的女性数量减少。由于缺乏关于PND识别策略的现有成本效益研究,因此开发了一个决策分析模型。基础案例分析的结果表明,根据英国国民健康服务体系(NHS)使用的传统成本效益阈值,使用正式识别策略似乎并不具有性价比。然而,所考虑的情景表明,这一结论主要是由基础案例模型中假设的假阳性成本驱动的。

结论

根据我们的证据综合和决策建模结果,我们重新审视了根据NSC的五项标准对PND筛查的审查。我们发现目前尚未满足PND筛查计划的公认标准。证据表明,有一种简单、安全、精确且经过验证的筛查测试,原则上可以定义一个合适的临界值,并且该测试为人群所接受。缺乏关于识别PND方法的临床和成本效益的证据。进一步的研究应旨在确定产后人群关键心理测量特性方面的最佳识别策略。特别是,比较Whooley和帮助问题、EPDS以及通用抑郁测量方法性能的研究将很有意义。确定PND随时间的自然病程以及确定识别产后抑郁症最有效和可接受方法的临床效果也将很有意义。在随机对照试验中进行进一步研究将提供对临床效果的可靠估计。

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