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Family-Centered Model and mHealth Through Early Intervention in Rural Populations: A Quasi-Experimental Study
Estíbaliz Jiménez-Arberas1, Yara Casáis-Suárez1, Sara Menéndez-Espina1
1Faculty Padre Ossó, University of Oviedo, 33008 Oviedo, Spain.
Background:
Considering the challenges of Early Childhood Intervention (ECI), especially in rural areas with limited access to resources, it is essential to explore innovative strategies to address these barriers. Recent research highlights the use of mHealth to improve the accessibility and effectiveness of interventions. This study aims to evaluate the impact of mHealth interventions within the family-centered model on child development and familial quality of life, compared to the child-centered model.
Methods:
This study employs a quasi-experimental design with pre- and post-test measures across two control groups (control group 1: child-centered model and control group 2: family-centered model) and one experimental group (family-centered model with mHealth). The sample consisted of 55 children (11 girls and 44 boys) aged 0 to 6 years old with neurodevelopmental disorders that resided in rural areas from June to September 2023. For the assessment of the family unit, an ad hoc sociodemographic questionnaire, the Family Quality of Life Scale, the Family Confidence Scale, and the Family Outcomes Scale were used. Children were evaluated using the Pediatric Evaluation of Disability Inventory and the Battelle Developmental Inventory Screening Test.
Results:
Results revealed significant differences between the experimental group (EG) and the control groups. The EG, which received mHealth-based interventions within the family-centered model, demonstrated the greatest improvements in variables related to family quality of life and the child's social functioning.
Conclusions:
mHealth appears to be a promising solution for improving access to early childhood intervention in rural areas, enhancing childhood development and a family's quality of life. Strong therapeutic relationships, supported by interdisciplinary and individualized approaches, are key to maximizing its impact.
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