Predicting developmental deficiencies at the age of four based on data from the first seven months of life.

The study examines very young children with the aim of identifying precursors of developmental problems during the first 7 months of age. Information from screening and observations in the birth clinic, in the first level of health care, and from parents was collected on five different occasions. The information that was included concerning the child and family was defined as either optimal or nonoptimal. At the age of 4 years, a clinical group was identified (11.1% of the total population). Logistic regression analyses were performed to detect risk factors. Twenty-one precursors were used to create a screening questionnaire that provided useful information (sensitivity = 56.1%, specificity = 98.8%) for predicting developmental problems of the children. The contribution of sociodemographic data was significant; medical information was less significant. The highest prediction rate surprisingly was found in the moderate clinical subgroup (62.1%), compared to the group with more severe problems that had a slightly lower rate (46.7%). The conclusion of the study is that it is possible to detect infants in need of early intervention using a continuous process of observation and screening.