Epidemiology of prematurity – How valid are comparisons of neonatal outcomes?

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Summary

Direct comparisons of neonatal outcomes at any level (unit, regional or international), require detailed validation and standardisation to ensure ‘like for like’ evaluation. Reported variation in neonatal performance may be either real or the result of one or more artefacts of the data collection. These issues need to be understood in order for an accurate interpretation to be made. Such artefacts are a particular feature of national data collection systems and can lead to serious misinterpretation. For example, very preterm deliveries have a major impact on neonatal mortality rates in developed countries with births before 33 weeks of gestation accounting for between 35% and 70% of neonatal deaths. Variation in the rate of very preterm delivery rates and differing practices regarding registration of these infants can have a major effect on the recorded neonatal mortality rate.

At a more local level the validity of neonatal comparisons often depends upon whether the question being raised is appropriately matched to the data obtained to answer it. Problems arise when the question being addressed has been poorly framed or the data used to answer it has been inappropriately chosen. Comparisons using questions based on clearly defined standardised outcome measures and good quality prospective data collection are a much better way to proceed.

Section snippets

Background

There are two main reasons for carrying out comparisons of neonatal outcomes: (1) as an indicator of the health of mothers and babies in a population allowing for inter-regional and international comparisons, and (2) to monitor the quality of perinatal and neonatal care provision providing information for the performance management of perinatal and neonatal services.

In all countries, monitoring the wellbeing of the population is a key public health activity, which is often devolved to local

Measurement of neonatal mortality rates

There are a number of factors that have a direct effect upon the measurement of neonatal mortality rates leading to variations in reported rates that may be either real or the result of one or more artefacts in the data collection. These issues need to be investigated in order for an accurate interpretation to be made. Limitations of national data collection systems are such that this cannot easily be achieved and, therefore, misleading results can be unwittingly presented and, subsequently,

How should the measurement of neonatal mortality rates be standardised?

A simple method is required for the reporting of neonatal outcomes, in particular neonatal mortality, that takes into account the make up of the birth population, thus allowing for more valid regional and international comparisons of perinatal and neonatal health. The collection of data concerning the gestational age and birth weight for all birth outcomes from 22 weeks' gestational age allows the production of gestational age and birth weight-specific survival or mortality charts for

Neonatal outcome measures to assess clinical performance

It seems now to be a ‘given’ that all medical practitioners should be able to demonstrate the quality of what they do (performance management). Similarly there is an expectation amongst the public that the medical services available to them should be able to produce evidence of the fact that they are as good as those elsewhere (bench marking).32 However, many of the problems described above with regard to the comparison of distinct populations are shared by these more local and specific

Recommendations

The title of this article posed a question, ‘…how valid are comparisons of neonatal outcomes?’ The answer would appear to be ‘perfectly valid’ if the question being raised and the data obtained to answer it are appropriately matched. Where problems arise it is often that the question being addressed has been poorly framed or the data used to answer have been inappropriately chosen. We do need new approaches to this whole area recognising, for example, that traditional perinatal, neonatal and

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