A protocol of a cross sectional study to assess depression in antenatal mothers

S. Kantipudi, Sushma Vishwanathan, Kannan G K, J. Menon, Sathianathan N
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Abstract

Background: Maternal depression is associated with a number of adverse maternal outcomes such as preterm birth, maternal dysfunction, maternal suicide and perinatal outcomes such as low birth weight, lower rates of breastfeeding, increase in diarrheal disease, hospitalisations, poor emotional, social development, lower academic achievements in adolescence and future mental health problems for the children of the mothers. Maternal depression has rightly been identified as a priority mental health condition and large scale community interventions in low and middle income countries (including India) have been shown in RCTs to be effective in not only improving maternal depression but also improve the perinatal outcomes. Given the scale, severity of the problem and strength of evidence available for effective interventions in the Indian context, there is a great opportunity for implementation research in this area. As a first step there is a need to understand the prevalence of the problem and associated risk factors in our context. Aim: Aim of this study to understand the prevalence of maternal depression and associated risk factors among antenatal mothers attending Sri Ramachandra Medical College (SRMC) Obstetrics outpatient department. Methods: A cross-sectional design will be employed for determining the prevalence, while a case control framework will be used for the risk factor analysis. Antenatal mothers will be startified according to the trimester of the pregnancy. Semi-structured socio demographic proforma; Patient Health Questionnaire (PHQ-9 Tamil version), Generalised Anxiety Scale (Tamil Version) and Brief COPE (Tamil version) questionnaire will be administered for antenatal mothers who offer informed consent. Those who score above 10 points on the PHQ scale will be interviewed using the MINI diagnostic interview schedule for clarifying diagnosis. Those who are diagnosed with depression will be referred to the SRMC psychiatry department for treatment & follow up. Analysis: Statistical analysis is to be done using computer software, to assess the prevalence of antenatal depression and the associated risk factors. Descriptive statistics will be used to describe the sample. Mean, standard deviation and range will be employed to describe continuous variables, while frequency distributions will obtained for categorical variables. The chi square and fisher’s exact tests will be used to assess the significance of associations between categorical variables. Multivariate analysis will be performed using stepwise backward logistic regression models
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评估产前母亲抑郁的横断面研究方案
背景:产妇抑郁症与许多不利的产妇结果有关,如早产、产妇功能障碍、产妇自杀和围产期结果,如出生体重低、母乳喂养率低、腹泻病增加、住院、情绪、社会发展不良、青春期学业成绩较差以及母亲子女未来的心理健康问题。产妇抑郁症已被正确地确定为一种优先的精神健康状况,在低收入和中等收入国家(包括印度),随机对照试验显示,大规模社区干预措施不仅能有效改善产妇抑郁症,还能改善围产期结局。考虑到问题的规模、严重性以及在印度背景下有效干预措施的证据力度,在这一领域开展实施研究的机会很大。作为第一步,有必要了解这个问题的普遍性和相关的风险因素。目的:本研究的目的是了解在室利罗摩昌德拉医学院(SRMC)产科门诊就诊的产前母亲的抑郁患病率及相关危险因素。方法:采用横断面设计确定患病率,采用病例控制框架进行风险因素分析。产前母亲将根据怀孕的三个月进行初始化。半结构化社会人口统计形式;患者健康问卷(PHQ-9泰米尔语版)、普遍焦虑量表(泰米尔语版)和简短的COPE(泰米尔语版)问卷将用于提供知情同意的产前母亲。在PHQ量表上得分在10分以上的人将使用MINI诊断访谈时间表进行访谈,以明确诊断。那些被诊断患有抑郁症的人将被转介到SRMC精神科进行治疗和随访。分析:使用计算机软件进行统计分析,以评估产前抑郁症的患病率和相关的危险因素。描述性统计将用于描述样本。用均值、标准差和极差来描述连续变量,用频率分布来描述分类变量。卡方检验和费雪精确检验将用于评估分类变量之间关联的显著性。多元分析将采用逐步后向逻辑回归模型进行
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