在常规产妇护理中普遍预防围产期精神障碍的个性化移动健康干预(e-Perinatal):一项混合可行性试点试验的方案研究。

Open research Europe Pub Date : 2025-06-27 eCollection Date: 2025-01-01 DOI:10.12688/openreseurope.20386.1
Francisco J Nieto-Casado, Irene Gómez-Gómez, Ignacio Aznar-Lou, Carlos Barquero-Jiménez, Isabel Cáceres, Stephanie Carretero, Rosalba Company-Córdoba, Paula De-Juan-Iglesias, Sara Domínguez-Salas, José J Gil-Cosano, Lennert Goossens, Carmen Rodríguez-Domínguez, Emma Motrico
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引用次数: 0

摘要

前言:围产期与母亲及其伴侣新发抑郁和焦虑的风险增加有关。尽管围产期精神障碍(PMD)对家庭和卫生保健系统产生重大影响,但由于结构性障碍,获得精神卫生服务的机会仍然有限。移动保健(mHealth)干预措施为普遍预防提供了一种可扩展和可获取的战略,但很少被纳入常规孕产妇保健并在现实环境中进行评估。方案:本研究提出了一项双臂、集群随机、混合型1型试点试验的方案,旨在评估e-围产期应用程序的可行性、可接受性和初步有效性。e-围产期应用程序是一种个性化的移动健康创新,用于普遍预防PMD。西班牙安达卢西亚的8个初级保健中心将按1:1的比例随机分配到干预组或对照组。干预组将获得围产期电子应用程序的访问权,并为参与常规产妇护理的保健专业人员提供围产期心理健康方面的专门培训。对照组将接受常规的产妇护理以及每月的心理教育电子邮件。共有96名孕妇或产后妇女(产后5个月以内)及其伴侣将被招募。主要结果是可行性和可接受性的电子围产期应用程序作为一个普遍的预防性干预纳入常规产妇保健。次要结局包括实施措施(即采用、忠诚和适当性)和初步有效性指标(即围产期抑郁和焦虑的累积发生率、症状严重程度的变化、产后创伤后应激障碍和主观幸福感)。其他结果包括其他实施措施(例如,参与者的经历和退学原因)、家庭动态、婴儿发育、应用程序可用性和医疗保健利用率。数据将采用混合方法进行分析。讨论:该试点试验将提供将个性化移动医疗干预纳入常规孕产妇护理的可行性的关键信息,从而为后续大规模试验的设计提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A personalized mHealth intervention for the universal prevention of perinatal mental disorders in routine maternal care (e-Perinatal): A protocol study for a hybrid feasibility pilot trial.

A personalized mHealth intervention for the universal prevention of perinatal mental disorders in routine maternal care (e-Perinatal): A protocol study for a hybrid feasibility pilot trial.

A personalized mHealth intervention for the universal prevention of perinatal mental disorders in routine maternal care (e-Perinatal): A protocol study for a hybrid feasibility pilot trial.

Introduction: The perinatal period is associated with an increased risk of new-onset depression and anxiety in both mothers and their partners. Despite the significant impact of perinatal mental disorders (PMD) on families and healthcare systems, access to mental health services remains limited due to structural barriers. Mobile health (mHealth) interventions offer a scalable and accessible strategy for universal prevention, but few have been integrated into routine maternal care and evaluated in real-world settings.

Protocol: This study presents the protocol for a two-arm, cluster-randomised, hybrid type 1 pilot trial designed to evaluate the feasibility, acceptability, and preliminary effectiveness of the e-Perinatal app, a personalised mHealth innovation for universal PMD prevention. Eight Primary Healthcare Centres in Andalusia, Spain, will be randomised in a 1:1 ratio to the intervention or control arm. The intervention group will receive access to the e-Perinatal app along with specialised training in perinatal mental health for healthcare professionals involved in routine maternal care. The control group will receive routine maternal care along with monthly psychoeducational emails. A total of 96 pregnant or postpartum women (up to five months postpartum) and their partners will be recruited. Primary outcomes are feasibility and acceptability of the e-Perinatal app as a universal preventive intervention integrated within routine maternal care. Secondary outcomes include implementation measures (i.e., adoption, fidelity, and appropriateness) and preliminary effectiveness indicators (i.e., cumulative incidence of perinatal depression and anxiety, changes in symptoms severity, postnatal post-traumatic stress disorder, and subjective well-being). Additional outcomes include other implementation measures (e.g., participants experiences and reasons to dropout), family dynamics, infant development, app usability, and healthcare utilisation. Data will be analysed using mixed methods.

Discussion: This pilot trial will provide key information on the feasibility of integrating a personalised mHealth intervention into routine maternal care, thereby informing the design of a subsequent large-scale trial.

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