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Perinatal mental health and psychosocial risk screening in a community maternal and child health setting: evaluation of a digital platform

机译:围产期心理健康和心理社会风险筛查在社区孕产妇和儿童健康环境中:数字平台评估

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Background: Screening women for depression and psychosocial risk during the perinatal period is recognised best practice. Screening by current pen and paper methods can be time consuming, and prone to scorer error. The lack of readily available translated versions of screening tools also excludes many women from different cultures. Aim: To evaluate a perinatal mental health digital screening platform, iCOPE. The trial was conducted in a community maternal and child health setting in Melbourne, Australia. Method: A descriptive, cohort design was used. All women attending the urban clinic were invited to complete their routine perinatal screening on the digital platform, designed to automate score calculations and produce instant clinical and client reports whilst collecting data in real time. Screening included the Edinburgh Postnatal Depression Scale (EPDS) and psychosocial risk questions in line with current national clinical guidelines. Functionality of iCOPE was assessed according to duration of screening, completion rates, accuracy of reporting and level of engagement by women. Results: During the trial, 144 screens were performed. The mean screening time was 6.7 min (SD= 3.78). Most (65.7% n= 94) women took between 3 and 6 min. Mean EPDS score was 7.2 with 16% (n= 23) scoring 13 or more. The accuracy of reports was 100% and screening completion rate was 99.3%. Many women (81.3%) requested a copy of their personal report. Discussion: The iCOPE platform was efficient in terms of screening time, scoring accuracy, and engagement of women. The automated production of tailored client and clinical reports enabled screening outcomes to be instantly communicated to women and health professionals. The collection of data in real time facilitated the monitoring of screening rates and evaluation of outcomes by clinicians and service managers.
机译:背景:在围产期期间筛查抑郁和心理社会风险的筛查是认可的最佳实践。通过当前笔和纸方法筛选可能是耗时的,并且容易发出得分错误。缺乏可用的翻译版本的筛选工具也不包括来自不同文化的许多女性。目的:评估围产期心理健康数字筛选平台,icope。该试验在澳大利亚墨尔本的社区孕产妇和儿童健康环境中进行。方法:使用描述性,队列设计。邀请所有参加城市诊所的妇女在数字平台上完成常规围产期筛查,旨在自动化分数计算,并在实时收集数据时产生即时临床和客户报告。筛选包括爱丁堡后期抑郁症(EPD)和心理社会风险问题,符合当前国家临床指南。根据筛选,完成率,报告准确性和妇女接触水平的持续时间评估思想的功能。结果:试验期间,进行144个屏幕。平均筛选时间为6.7分钟(SD = 3.78)。大多数(65.7%n = 94)女性占3%至6分钟。平均EPD评分为7.2,16%(n = 23)得分13或更多。报告的准确性为100%,筛选完成率为99.3%。许多女性(81.3%)要求副本的个人报告。讨论:ICOPE平台在筛选时间,评分准确性和女性参与方面有效。自动生产的量身定制的客户和临床报告使筛选结果能够立即传达给妇女和卫生专业人员。实时数据的集合促进了临床医生和服务经理的筛选率和对结果的评估。

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