About this trial
The consequences of preterm birth extend beyond the clinical conditions of the newborn, profoundly impacting the functioning and well-being of families. Although various research examines changes in parents' well-being and perception of self-efficacy during the stay in NICU, there is a lack of research analyzing what happens in the delicate transition phase at home after the baby's discharge. Recently, scholars have advocated for the use of web-based and app-based support programs both to monitor and prevent preterm family maladjustment and to assist parents struggling with the transition home. The main aim of this interdisciplinary research project is to develop a socio-psychological model focused on assessing the well-being of parents of premature infants during and after their stay in a NICU. Specifically, the study aims to (1) monitor the mental health of parents of premature infants, both at the time of the child's discharge from the NICU and in the first six months after discharge to prevent family maladjustment, (2) deepen our understanding of the role of digital tools in monitoring and supporting the well-being of parents of premature infants, and (3) study the potential impact of the relationship with healthcare professionals on the overall well-being of parents. The project combines mixed methods of social research and psychological support with an e-health approach. The well-being of parents of premature infants will be assessed using validated scales administered through a questionnaire to parents of preterm infants within six NICUs at the time of the child's discharge. Subsequently, a follow-up assessment of parental well-being will be implemented through the administration of the validated scales in a web app. Additionally, an ethnographic phase will be conducted in the NICUs, involving observation of the interaction between healthcare professionals and parents, as well as narrative interviews with healthcare staff. It is expected to shed light on the determinants of well-being among parents of premature infants, in relation to varying levels of prematurity severity, socio-demographic characteristics such as gender, age, and socioeconomic status, and parental involvement in NICU care practices. With the follow-up phase via web app, the project also aims to prevent family maladjustment by providing psychological support and utilizing an e-health tool.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Parents of children born before 36+6 of gestational age (GA).
The parents must be at least 18 years old
Children must have been hospitalized in intensive or sub-intensive care for at least ten days.
Parents must be able to speak fluent Italian or English.
Disqualifiers
None
Trial population
Parents of preterm child who were born in one of the partner NICU during the monitoring phase of the project.
Trial design
Case-only
Prospective
Treatments tested in this trial
e-health assesment
Other interventionThis study is purely observational and does not forsee any intervention but only observational assesment of parents' wellbeing
Treatment groups
Trial outcomes
Primary outcomes
Postpartum Anxiety
Measured through Postpartum Specific Anxiety Scale (PSAS). Most of the literature on postpartum anxiety (Glasheen, Richardson, \& Fabio, 2010; Lostein, 2007; Meades \& Ayers, 2011) refers to measures of generalised anxiety which can often prove problematic from a psychometric point of view. To date, the only questionnaire available that specifically measures postpartum anxiety is the Postpartum Specific Anxiety Scale (PSAS). The instrument also demonstrated excellent psychometric properties (ω between 0.72 and 0.90 in the four scales and λ4 between 0.71 and 0.92 in the four scales). For these reasons, the research team believed it was the most sensitive and suitable tool for capturing the construct under investigation in the target population (parents of children born preterm).
Post-partum PTSD
Measured through City Birth Trauma Scale (City BiTS). The scale is an instrument specifically developed to measure birth-related post-traumatic stress disorder according to the recent DSM-5 criteria and is, to the authors' knowledge, the only instrument with this specificity. This instrument has previously demonstrated excellent reliability (Cronbach's a = 0.92). For these reasons, the research team believed it was the most sensitive and suitable tool for capturing the construct under investigation in the target population (parents of children born preterm).
Post-partum depression
Measured through Edinbugh Postnatal Depression Scale (EPDS). Postnatal depression is the most widely measured disorder in the postpartum population which in Italy is mostly subject to routine checks. The Edinburgh Postnatal Depression Scale (EPDS) is the most widely used self-report questionnaire to measure postpartum depression given the simplicity of administration, ease of cultural adaptation and excellent psychometric properties demonstrated. The validated Italian version demonstrated good validity and reliability (Cronbach's α =0.7894), confirming the validity of the EPDS in identifying postnatal depression.
Post-partum parent-child bonding
Measured through Postpartum Bonding Questionnaire (PBQ) (in T0). The scale aims to measure the quality of the bond between parents and children and identify if there are problems in the relationship. The Italian adaptation of the PBQ, edited by Rosario Montirosso, Claudia Fedeli, Livio Provenzi and Ian Brockington was developed using the back-translation procedure (Montirosso et al., 2009). Studies show that the Italian version of the PBQ has good psychometric properties and can be implemented in the Italian cultural context to assess early mother-child relational difficulties (Busonera et al., 2017).
Sponsors and contacts
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University of Milano Bicocca
Lead sponsor
Catholic University of the Sacred Heart
Collaborator
Treviso Regional Hospital
Collaborator
Ospedale San Bortolo di Vicenza
Collaborator
Azienda Ospedaliero Universitaria di Cagliari
Collaborator
Fondazione IRCCS Policlinico San Matteo di Pavia
Collaborator
IRCCS Ospedale San Raffaele
Collaborator
Azienda Ospedaliera San Gerardo di Monza
Collaborator
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