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社区知情人引导检测巴基斯坦农村产妇抑郁的准确性。

Accuracy of Community Informant Led Detection of Maternal Depression in Rural Pakistan.

机构信息

Department of Community Medicine, Army Medical College, University of Medical Sciences, Punjab 46000, Pakistan.

Department of Public Health, Health Services Academy, Opposite National Institute of Health, Islamabad 44000, Pakistan.

出版信息

Int J Environ Res Public Health. 2021 Jan 26;18(3):1075. doi: 10.3390/ijerph18031075.

Abstract

Maternal depression is a global mental health and a public health priority. Despite the priority its active detection is still a challenge. We tested the accuracy of an adapted version of Community Informant Detection Tool for Maternal Depression (CIDT-MD) in rural settings of Pakistan. Using a single stage design, trained community informants (lady health workers and lay peers) identified women (pregnant and/or with children) with symptoms of probable depression using CIDT-MD. This was immediately followed by diagnostic interviews of all the women using the Structured Clinical Interview for the Diagnostic and Statistical Manual (SCID-V) for current major depressive episode by trained assessors, blinded to the outcome of CIDT-MD. Data were analyzed using Statistical Package for Social Sciences (Version 25.0, IBM Corp., Armonk, NY, USA) and FACTOR software (Version. 10.3.01, Virgili University, Tarragona, Spain). Descriptive statistics, factor analysis, validity, reliability and known group validity was conducted to evaluate the psychometric properties of the adapted CIDT-MD. In all, 425 women, with mean age of 28 years (SD = 4.7), participated. Nearly 10% were illiterate, while the rest (90%) had an education ranging from eight to 15 years of schooling. The majority (73.2%) of the participants had 1-3 children while only 17.4% had >3 children. The sensitivity and specificity of CIDT-MD in detecting depressive symptoms was 97.5% (95% CI: 94.2-99.1) and 82.4% (95% CI: 77.8-86.4) respectively. It's positive predictive value (PPV), 77.3% (95% CI: 72.9-81.2) and the negative predictive value (NPV) was 98.17% (95% CI: 95.7-99.2). While factor analysis revealed high inter-item correlation for most items (0.62-0.77) with an adequately fair Kaiser-Meyer-Olkin (KMO) sampling adequacy (0.73), significant Bartlett's test of sphericity ( < 0.001). Uni-dimensionality for the CIDT-MD based on one-dimensional congruence (0.97), explained common variance (0.85), excellent internal consistency (0.90), good criterion validity (Area Under Curve = 81%), tester-test reliability (0.87-0.89) and statistically significant known group analysis ( < 0.001). The adapted version of the Community Informant Detection Tool for Maternal Depression is a valid and a reliable tool for active case detection of maternal depression in rural settings of Pakistan.

摘要

产妇抑郁症是一个全球性的心理健康和公共卫生重点。尽管优先考虑,但积极检测仍然是一个挑战。我们在巴基斯坦农村地区测试了经过改编的产妇抑郁症社区知情者检测工具(CIDT-MD)的准确性。使用单阶段设计,经过培训的社区知情者(女卫生工作者和普通同龄人)使用 CIDT-MD 识别出有疑似抑郁症症状的妇女(孕妇和/或有子女)。随后,由受过培训的评估人员立即使用结构临床访谈对所有妇女进行当前主要抑郁发作的诊断访谈(SCID-V),评估人员对 CIDT-MD 的结果不知情。使用社会科学统计软件包(版本 25.0,IBM 公司,纽约州阿蒙克)和 FACTOR 软件(版本 10.3.01,塔里戈纳大学,西班牙)对数据进行分析。进行描述性统计、因素分析、有效性、可靠性和已知群体有效性,以评估改编后的 CIDT-MD 的心理测量特性。共有 425 名年龄平均为 28 岁(标准差=4.7)的妇女参加。近 10%是文盲,而其余(90%)的人接受了 8 至 15 年的学校教育。大多数(73.2%)参与者有 1-3 个孩子,而只有 17.4%有>3 个孩子。CIDT-MD 检测抑郁症状的灵敏度和特异性分别为 97.5%(95%CI:94.2-99.1)和 82.4%(95%CI:77.8-86.4)。其阳性预测值(PPV)为 77.3%(95%CI:72.9-81.2),阴性预测值(NPV)为 98.17%(95%CI:95.7-99.2)。虽然因素分析显示大多数项目的项目间相关性较高(0.62-0.77),Kaiser-Meyer-Olkin(KMO)取样充足性适中(0.73),但Bartlett 球形检验具有显著意义(<0.001)。基于一维一致性(0.97),CIDT-MD 的一维性解释了共同方差(0.85),具有良好的内部一致性(0.90)、良好的标准有效性(曲线下面积=81%)、测试者-测试者可靠性(0.87-0.89)和统计学上显著的已知群体分析(<0.001)。改编后的产妇抑郁症社区知情者检测工具是一种有效的、可靠的工具,可用于在巴基斯坦农村地区主动检测产妇抑郁症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ca7/7908615/9ddea822b2db/ijerph-18-01075-g001.jpg

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