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Updated: May 30, 2026
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
Published on: August 25, 2014
[Using correspondence analysis to evaluate information records of the risk newborns]
Robsmeire Calvo Melo Zurita1, Willian Augusto de Melo, Rosângela Getirana Santana
1Secretaria Municipal da Saúde do município de Maringá, Paraná, Brasil. robszurita@bol.com.br
Insights
Information quality for high-risk infants in vigilance programs was assessed. Adequate records were found in 30% of health units, highlighting needs for professional development and complete documentation.
Area of Science:
- Public Health
- Health Informatics
- Pediatrics
Context:
- The High-Risk Newborn Vigilance Program monitors vulnerable infants.
- Information systems are crucial for tracking infant health data.
- Assessing data quality is essential for effective public health interventions.
Purpose:
- To evaluate the quality of information concerning infants in the High-Risk Newborn Vigilance Program across various information systems.
- To identify strengths and weaknesses in data recording and completeness within primary care settings.
Summary:
- A cross-sectional study analyzed data from 505 high-risk infants across 23 Basic Health Units (UBS).
- Quantitative analysis utilized Correspondence Analysis and Ascendant Hierarchical Classification.
- Adequate record quality was observed in 30% of UBS, with positive findings in record adequacy.
Impact:
- Findings suggest a need for enhanced training and professional development for healthcare providers (physicians and nurses).
- Improving the completeness of routine home visit records is recommended.
- Enhanced data quality can lead to more effective monitoring and improved outcomes for high-risk newborns.
Abstract:
This study aims to analyze in different information systems the quality of the information on infants enrolled in the High-Risk Newborn Vigilance Program. This is a cross-sectional study with quantitative analysis. Data was collected from the following forms and charts: the Newborn Montoring Form; Information System of Primary Care Forms, A and C; and forms of 505 children at risk in 23 Basic Health Units (UBS). Correspondence Analysis and Ascendant Hierarchical Classification were used to analyze data. The positive aspects observed refer to the adequacy of records. The results show that the quality of the activity records was adequate in 30% of UBS (Basic Units of Health), suggesting training and professional development of physicians and nurses referred to services and assistance programs, and complete records of routine home visits.
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