Use of a child health surveillance instrument focusing on growth. A cross-sectional study

Erika Morganna Neves de Araujo1, Marcia Teles de Oliveira Gouveia2, Dixis Figueroa Pedraza3

  • 1Master's Student, Nursing, Postgraduate Public Health Program, Universidade Estadual da Paraíba (UEPB), Campina Grande (PB), Brazil.

Insights

Child health handbooks are crucial for monitoring growth, but their use in Brazil showed significant data entry errors. Improved data quality was linked to larger healthcare teams, highlighting a need for better child health surveillance practices.

Area of Science:

  • Pediatrics
  • Public Health
  • Health Services Research

Background:

  • Child health handbooks are key indicators of healthcare quality.
  • Effective use of these tools is essential for child health surveillance, particularly for monitoring growth.
  • This study evaluated the utilization of child health surveillance tools, focusing on growth monitoring.

Purpose of the Study:

  • To evaluate the use of child health surveillance tools by healthcare professionals.
  • To assess the quality of data entry in child health handbooks, focusing on growth parameters.
  • To analyze the association between handbook completion and sociodemographic characteristics.

Main Methods:

  • A cross-sectional study was conducted within the Family Health Strategy in two Brazilian municipalities.
  • Data were collected from 321 children under five years old, including sociodemographic information from mothers.
  • Analysis included growth charts, supplementation records, immunization schedules, and the association between handbook completion and sociodemographics.

Main Results:

  • High frequencies of inadequate data entry were observed across all parameters, from 41.1% (weight-for-age) to 95.3% (BMI-for-age).
  • Inadequate data entry was more prevalent in children aged 25 months and older.
  • Fewer healthcare professionals in healthcare teams correlated with higher rates of inadequate data entry.

Conclusions:

  • The utilization of child health handbooks for growth monitoring in the studied municipalities was found to be deficient.
  • Improved data entry quality was associated with locations having larger healthcare teams.
  • Enhancing the proper use of child health handbooks is critical for effective child health surveillance.
Abstract

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.5K
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
11.2K
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
554
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
15.1K
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.7K
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
1.6K