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Socioeconomic inequalities in neonatal intensive care admission rates
  1. John Jenkins (j.jenkins{at}qub.ac.uk)
  1. Queens University Belfast, United Kingdom
    1. Evie Gardner
    1. University of Ulster, United Kingdom
      1. Emma McCall
      1. Queens University Belfast, United Kingdom
        1. Karen Casson
        1. University of Ulster, United Kingdom
          1. Helen Dolk (h.dolk{at}ulster.ac.uk)
          1. University of Ulster, United Kingdom

            Abstract

            Objective: To examine socioeconomic inequalities in neonatal intensive care (NIC) admissions relating to preterm birth, IUGR, multiple births and other conditions.

            Methods: Retrospective review of all NIC admissions from 1996 to 2001 throughout a geographically defined region. Area deprivation indices were grouped into quintiles from least (1) to most (5) deprived. Admissions were classified by predefined hierarchical criteria.

            Results: The rate of admissions was 31.4 per 1,000 births. There was a J shaped relationship with socioeconomic group (28.1 NIC admissions per 1000 in quintile 1, 34.0 in quintile 5, and below 28 in the other quintiles). The most deprived areas had a rate 19% above the regional average. The relationship with socioeconomic group differed significantly according to primary reason for admission. The rates of admissions with significant prematurity (34% of all admissions) and intrauterine growth restriction (IUGR) as primary reason were highest in quintile 5 (18% and 41% above the regional average respectively). This contrasted with the rate of admission for multiple birth which was highest in quintile 1 (45% above average). These differences provided the main explanation for the J shaped overall curve.

            Conclusions: Measures to alleviate deprivation and to improve the preterm birth and IUGR rates in deprived groups would have the greatest potential to reduce inequality in need for NIC admission. Efforts to achieve targets for reduction in infant mortality need to take account of the different effects of socioeconomic inequalities for different conditions and groups of infants.

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