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产后抑郁的数字化筛查:混合方法概念验证研究。

Digital screening for postnatal depression: mixed methods proof-of-concept study.

机构信息

Division of Psychology and Mental Health, University of Manchester, Manchester, M13 9PL, UK.

Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK.

出版信息

BMC Pregnancy Childbirth. 2022 May 23;22(1):429. doi: 10.1186/s12884-022-04756-2.

Abstract

BACKGROUND

Depression during the postnatal year is prevalent in mothers (17%) and fathers (9%), and suicide is the leading cause of maternal death in this period. Lifelong costs and consequences of untreated postnatal depression (PND) are high due to impacts on infants as well as parents. We aimed to improve access to PND treatment using digital screening. We developed a smartphone app (ClinTouch DAWN-P) that allows parents to monitor their mood daily with the Edinburgh Postnatal Depression Scale (EPDS), uploading responses in real-time to a secure server. We evaluated the app's feasibility, acceptability, validity and safety in a proof-of-concept study.

METHODS

Pregnant women (≥ 36 weeks gestation) and partners were recruited from antenatal services and invited to complete daily EPDS assessments via the ClinTouch DAWN-P app until 6 weeks postpartum. Participants completed standard paper-based EPDS at two time points for validity comparisons. We examined app acceptability and usability at 6 weeks postpartum with qualitative interviews, examined using framework analysis, and the abridged Mobile App Rating Scale (convergent mixed methods design).

RESULTS

Most (96%) eligible pregnant women approached were keen to try the app. Participating mothers (n = 15) and partners/fathers (n = 8) found the app easy to use, and 91% continued to use it for the full study period. Overall, 67% of daily app-based assessments were completed, with a history of depression predicting lower app usage. Participants suggested modifications to the app and its deployment to improve usability (e.g., extending the response window and including feedback and parenting advice). The validity of app-based responses was confirmed by high agreement with standard EPDS. App-based and paper-based ratings showed perfect agreement in identifying cases of likely PND. There were no serious adverse events relating to app use.

CONCLUSIONS

Digital PND screening appears feasible, acceptable, valid and safe. It also benefits from being remotely delivered: we enrolled all participants remotely during the first COVID-19 lockdown. Use of digital screening could address known shortcomings of conventional health visitor-delivered screening such as limited staff time, parental unwillingness to disclose difficulties to a professional, lack of partner/father screening, and language barriers.

TRIAL REGISTRATION

The study was prospectively registered (Clinicaltrials.gov: NCT04279093 ).

摘要

背景

产后一年内,母亲(17%)和父亲(9%)中抑郁症较为常见,自杀是这一时期产妇死亡的主要原因。由于对婴儿以及父母的影响,未经治疗的产后抑郁症(PND)的终生成本和后果很高。我们旨在通过数字筛查来改善 PND 治疗的可及性。我们开发了一个智能手机应用程序(ClinTouch DAWN-P),允许父母每天使用爱丁堡产后抑郁量表(EPDS)监测自己的情绪,并实时将回复上传到安全的服务器。我们在概念验证研究中评估了该应用程序的可行性、可接受性、有效性和安全性。

方法

从产前服务中招募了孕妇(≥36 周妊娠)及其伴侣,并邀请他们通过 ClinTouch DAWN-P 应用程序每天完成 EPDS 评估,直到产后 6 周。参与者在两个时间点完成标准纸质 EPDS 评估以进行有效性比较。我们在产后 6 周时通过定性访谈检查应用程序的可接受性和可用性,使用框架分析进行检查,并使用简化的移动应用程序评分量表(收敛混合方法设计)进行检查。

结果

大多数(96%)符合条件的孕妇都热衷于尝试该应用程序。参与的母亲(n=15)和伴侣/父亲(n=8)发现该应用程序易于使用,91%的人在整个研究期间继续使用该应用程序。总体而言,完成了 67%的基于应用程序的日常评估,有抑郁史的人预测其应用程序使用率较低。参与者建议对应用程序及其部署进行修改,以提高其可用性(例如,延长回复窗口并包括反馈和育儿建议)。基于应用程序的回复的有效性通过与标准 EPDS 的高度一致性得到了确认。基于应用程序和纸质的评分在识别可能的 PND 病例方面具有完美的一致性。与应用程序使用相关的不良事件并不严重。

结论

数字 PND 筛查似乎是可行的、可接受的、有效的和安全的。它还具有远程提供的优势:我们在第一次 COVID-19 封锁期间远程招募了所有参与者。使用数字筛查可以解决传统家庭访问者提供的筛查中已知的缺点,例如工作人员时间有限、父母不愿向专业人士透露困难、缺乏伴侣/父亲筛查以及语言障碍。

试验注册

该研究是前瞻性注册的(Clinicaltrials.gov:NCT04279093)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31c4/9125925/75eba8c94d90/12884_2022_4756_Fig1_HTML.jpg

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