Effectiveness of a Pregnancy Care Digital Self-Care Intervention on Maternal Anxiety in the Third Trimester Within a Biopsychosocial Adaptation Framework: A Randomized Controlled Trial
Effectiveness of a Pregnancy Care Digital Self-Care Intervention on Maternal Anxiety in the Third Trimester Within a Biopsychosocial Adaptation Framework: A Randomized Controlled Trial
The goal of this clinical trial is to evaluate whether a digital self-care intervention (PCYCARE) can reduce pregnancy-related anxiety and improve biopsychosocial adaptation among third-trimester pregnant women.
The main questions it aims to answer are:
Researchers will compare participants who receive the PCYCARE digital program with those who receive routine antenatal care to determine the effectiveness of the intervention.
Participants will:
Background:
Pregnancy-related anxiety is a common psychological condition during the third trimester and is associated with adverse maternal and neonatal outcomes, including preterm birth, shortened gestation, and impaired maternal-infant adaptation. Unlike generalized anxiety, pregnancy-related anxiety reflects condition-specific concerns related to fetal health, childbirth, and readiness for motherhood. Emerging evidence indicates that pregnancy-related anxiety is influenced by interconnected cognitive, psychosocial, and physiological mechanisms. Maternal knowledge contributes to cognitive appraisal and perceived control, childbirth preparedness reflects psychosocial readiness, and sleep quality represents a key physiological regulator of emotional stability. These domains interact dynamically, suggesting that pregnancy-related anxiety can be understood as a biopsychosocial adaptation process. Despite increasing use of digital health interventions in maternal care, many existing applications focus on single outcomes and lack theoretical integration across these domains. Therefore, there is a need for structured digital interventions that simultaneously address cognitive, psychosocial, and physiological pathways.
Intervention Overview:
This study evaluates PCYCARE, a digital self-care program designed to support integrated maternal adaptation during late pregnancy. The intervention consists of:
Participants are instructed to complete two sessions per day (education and relaxation), each lasting approximately 10-15 minutes, over a 21-day intervention period.
Study Objectives:
The primary objective of this study is to evaluate the effectiveness of the PCYCARE digital intervention in reducing pregnancy-related anxiety among third-trimester pregnant women.
Secondary objectives are to evaluate improvements in maternal knowledge, childbirth preparedness, and sleep quality, and to examine how these variables interact within a biopsychosocial adaptation model.
Study Design:
This study employs an individual randomized controlled trial (RCT) with a pretest-posttest design. Participants are randomly assigned in a 1:1 ratio to either the intervention group or the control group using stratified block randomization.
Study Population:
The study population consists of primigravida women in the third trimester of pregnancy (28-35 weeks of gestation) recruited from primary health centers.
Comparator:
Participants in the control group receive routine antenatal care without access to the PCYCARE digital intervention.
Outcomes and Biopsychosocial Model:
The study includes four key measured variables:
All variables are measured at baseline and after the 21-day intervention using validated instruments.
This study is guided by a digital biopsychosocial adaptation model in which:
Within this model, sleep quality is hypothesized to function as a central pathway linking cognitive and psychosocial improvements to reductions in pregnancy-related anxiety.
Significance:
This study provides evidence for a theory-driven digital self-care intervention that integrates cognitive, psychosocial, and physiological mechanisms. The findings are expected to inform scalable strategies for improving maternal mental health and childbirth preparedness, particularly in resource-limited settings.
Inclusion Criteria:
Exclusion Criteria: