[Validation of birth certificates based on data from a case-control study]

Area of Science:

• Perinatal health
• Vital statistics accuracy
• Public health data quality

Background:

• Birth certificates are crucial for public health surveillance.
• Accurate data is essential for understanding perinatal mortality and informing interventions.
• Validation studies are needed to assess the reliability of birth certificate information.

Purpose of the Study:

• To validate the accuracy of information on birth certificates.
• To compare birth certificate data with data from a perinatal mortality case-control study.
• To assess the completeness and quality of birth certificate data for key variables.

Main Methods:

• A case-control study design was employed, including early neonatal deaths (cases) and controls.
• Data were collected through home interviews with mothers and review of hospital records.
• Sensitivity, specificity, and concordance were calculated for various birth certificate variables.

Main Results:

• Birth certificate completeness was lowest for maternal parity and congenital anomalies (23-31% missing).
• Birth certificates accurately identified low birth weight and delivery type, with high sensitivity for preterm births in cases.
• Preterm births were underestimated in controls (30.8%) but not cases (2.9%); low maternal education was overestimated on certificates.

Conclusions:

• Birth certificates demonstrate good accuracy for certain variables like birth weight and delivery type.
• Significant underestimation of preterm births and overestimation of low maternal education highlight data quality issues.
• Improving birth certificate data completeness and accuracy is vital for effective perinatal health monitoring and policy.