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  • Perinatal deaths per 1000 births Perinatal deaths per 1000 births (Line chart)
  • Perinatal deaths per 1000 births Perinatal deaths per 1000 births (Bar chart)
  • Perinatal deaths per 1000 births Perinatal deaths per 1000 births (Map)
  • Perinatal deaths per 1000 births Perinatal deaths per 1000 births (Boxplot chart)
Data set notes
European Health for All database

Indicators: 565
Updated: 18 October 2024

The following abbreviations are used in the indicator titles:
•    SDR: age-standardized death rates (see HFA-DB user manual/Technical notes, page 13, for details)
•    FTE: full-time equivalent
•    PP: physical persons
•    PPP$: purchasing power parities expressed in US $, an internationally comparable scale reflecting the relative domestic purchasing powers of currencies.

Indicator notes
Perinatal deaths per 1000 births
Indicator code: E070403.1000gOrNational

Number of stillbirths and deaths in the first week of life, 1000+ grams of national criteria if weight specific information is not available.

Country/Area notes
Azerbaijan
Calculations are based on birth weight-specific data (1000+ g). Perinatal mortality is likely underestimated due to incomplete registration.
General notes

Understanding Perinatal Deaths per 1000 Births

Perinatal mortality rate, an essential health indicator, reflects the number of stillbirths and deaths in the first week of life per 1000 live births. This metric serves as a critical measure of the quality of antenatal and perinatal care provided in healthcare settings. It also highlights the broader socio-economic environment that impacts maternal and infant health. By tracking this rate, health professionals and policymakers can identify successful practices and areas needing improvement, aiming to enhance maternal and child health services and reduce preventable perinatal deaths.

Calculating Perinatal Deaths per 1000 Births

To calculate the perinatal mortality rate, health statisticians tally the total number of stillbirths and deaths within the first week of life and divide this by the total number of live births over the same period, then multiply the result by 1000. This calculation provides a perinatal mortality rate expressed per 1000 live births, offering a standardized metric that can be used for international comparisons and temporal trend analysis. Accurate data collection from hospitals and health facilities is crucial for this calculation to ensure the reliability of the health indicator.

The Significance of Monitoring Perinatal Deaths

Monitoring perinatal deaths per 1000 births is vital for assessing the health status of a population and the effectiveness of maternal and child health interventions. This indicator not only helps in understanding the immediate health services' efficacy but also in evaluating the underlying determinants of health such as nutrition, access to healthcare, and prenatal care quality. Governments and health organizations use this data to allocate resources effectively, improve healthcare policies, and implement targeted interventions aimed at reducing perinatal mortality.

Strengths and Limitations of the Perinatal Deaths Indicator

While the perinatal deaths per 1000 births indicator is invaluable, it comes with its own set of strengths and limitations that affect its utility and interpretation.

Strengths

This indicator is universally recognized and provides a standardized measure to compare across different regions and time periods, making it an essential tool for global health assessments. It helps in identifying trends and evaluating the impact of health policies and interventions over time. Additionally, it is crucial for mobilizing international support and funding aimed at improving maternal and child health outcomes.

Limitations

However, the accuracy of the perinatal mortality rate heavily depends on the quality of data on births and deaths. In regions with inadequate health reporting systems, this data might be underreported, leading to potential misrepresentations of the actual situation. Furthermore, this indicator does not account for the socio-economic and cultural factors that significantly influence perinatal outcomes. It also fails to capture the granularity needed to assess the distribution of perinatal deaths across different subgroups within a population, such as by socioeconomic status or ethnicity, which can be crucial for addressing disparities in health outcomes.

In conclusion, while the perinatal deaths per 1000 births indicator is a powerful tool for monitoring health outcomes globally, it must be interpreted with an understanding of its contextual limitations and supplemented with other data to provide a comprehensive view of maternal and child health.