Chorwe-Sungani Genesis, Chipps Jennifer
School of Nursing, University of the Western Cape, Private Bag X17, Bellville, 7535, South Africa.
Kamuzu College of Nursing, University of Malawi, Blantyre, Malawi.
BMC Psychiatry. 2017 Mar 24;17(1):112. doi: 10.1186/s12888-017-1273-7.
In low resource settings, short, valid and reliable instruments with good high sensitivity and specificity are essential for the screening of depression in antenatal care. A review of published evidence on screening instruments for depression for use in antenatal services in low resource settings was conducted. The aim of this review was to appraise the best available evidence on screening instruments suitable for detecting depression in antenatal care in low resource settings.
Searching, selection, quality assessment, and data abstraction was done by two reviewers. ScienceDirect, CINAHL, MEDLINE, PubMed, SABINET and PsychARTICLES databases were searched using relevant search terms. Retrieved studies were evaluated for relevancy (whether psychometric data were reported) and quality. Data were synthesised and sensitivity and specificity of instruments were pooled using forest plots.
Eleven articles were included in the review. The methodological quality ranged from adequate to excellent. The review found 7 tools with varying levels of accuracy, sensitivity and specificity, including the Edinburgh Postnatal Depression Scale, Beck Depression Index, Centre for Epidemiologic Studies Depression Scale 20, Hamilton Rating Scale for Depression, Hopkins Symptoms Checklist-25, Kessler Psychological Distress Scale and Self-Reporting Questionnaire. The Edinburgh Postnatal Depression Scale was most common and had the highest level of accuracy (AUC = .965) and sensitivity.
This review suggests that the Edinburgh Postnatal Depression Scale can be a suitable instrument of preference for screening antenatal depression in low resource settings because of the reported level of accuracy, sensitivity and specificity.
CRD42015020316 .
在资源匮乏地区,用于产前检查中抑郁症筛查的简短、有效、可靠且具有良好高灵敏度和特异性的工具至关重要。我们对已发表的关于资源匮乏地区产前服务中抑郁症筛查工具的证据进行了综述。本综述的目的是评估关于适用于在资源匮乏地区产前检查中检测抑郁症的筛查工具的现有最佳证据。
由两名评审员进行检索、筛选、质量评估和数据提取。使用相关检索词对ScienceDirect、CINAHL、MEDLINE、PubMed、SABINET和PsychARTICLES数据库进行检索。对检索到的研究进行相关性(是否报告了心理测量数据)和质量评估。汇总数据并使用森林图汇总工具的灵敏度和特异性。
本综述纳入了11篇文章。方法学质量从充分到优秀不等。该综述发现了7种准确性、灵敏度和特异性水平各异的工具,包括爱丁堡产后抑郁量表、贝克抑郁量表、流行病学研究中心抑郁量表20、汉密尔顿抑郁评定量表、霍普金斯症状清单 - 25、凯斯勒心理困扰量表和自评问卷。爱丁堡产后抑郁量表最为常见,且具有最高水平的准确性(AUC = 0.965)和灵敏度。
本综述表明,鉴于所报告的准确性、灵敏度和特异性水平,爱丁堡产后抑郁量表可能是资源匮乏地区产前抑郁症筛查的首选合适工具。
PROSPERO注册编号:CRD42015020316 。