Dataset on neonatal and maternal factors influencing neurodevelopmental outcomes in preterm infants: A study focused on the healthcare context of Mashhad, Iran.

This dataset offers an insight into the neurodevelopmental trajectories of preterm infants, encapsulating a wide array of neonatal and maternal factors. The data variables include demographic details alongside a detailed account of maternal health during pregnancy, encompassing aspects and other complications. Furthermore, the dataset documents neonatal health conditions. It also records critical indicators of neonatal health. The dataset is enriched with data on medical interventions and hospitalization details. It also contains information on the mother's drug usage during pregnancy and sonography results. A significant portion of the dataset is dedicated to the developmental assessment of the infants, utilizing the Bayley Scales to evaluate various domains such as cognitive, language, perceptual, fine motor, and coarse motor skills. The data are categorized to denote normal and abnormal outcomes in these domains, providing a detailed view of the developmental progress of the infants. The reuse potential of this dataset is substantial, serving as a rich resource for researchers and clinicians aiming to delve deeper into the multifaceted influences on preterm infant development. It can significantly contribute to the formulation of early intervention strategies, fostering a better understanding and enhancement of developmental outcomes in preterm infants.