Literature DB >> 10486487

Morbidity assessment index for newborns: a composite tool for measuring newborn health.

A Verma1, N B Okun, T O Maguire, B F Mitchell.   

Abstract

OBJECTIVE: The objective was to develop, validate, and recommend a scaling model for a discriminative obstetric outcome measure named the Morbidity Assessment Index for Newborns. The purpose of this tool is to allow comparison of obstetric therapeutic strategies on neonatal morbidity, particularly in the mild to moderate morbidity range. STUDY
DESIGN: A list of 66 check-mark (yes or no) items of readily available clinical and laboratory data from the early neonatal period was compiled by a panel of obstetric and neonatal experts. These data were collected on 411 neonates born at >/=28 weeks' gestation and representing all grades of morbidity. Detailed psychometric testing included dimensionality testing and item analysis with the item response theory. The scores obtained with this new assessment tool were correlated with newborn and maternal disease conditions or events and with other measures of newborn morbidity.
RESULTS: The Morbidity Assessment Index for Newborns is easy to apply in prospective or retrospective studies. Detailed psychometric evaluation resulted in modification of the list to 47 items, each item with a relative scale value according to severity of morbidity. The test was demonstrated to be a reliable and generalizable scaled index that performs optimally for the mild to moderate neonatal morbidity range.
CONCLUSION: The Morbidity Assessment Index for Newborns is a validated outcome measurement scale of neonatal morbidity. This new tool may facilitate the conduct of obstetric clinical trials or epidemiologic population-based studies in obstetrics.

Mesh:

Year:  1999        PMID: 10486487     DOI: 10.1016/s0002-9378(99)70516-8

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  4 in total

1.  Performance profile of an outcome measure: morbidity assessment index for newborns.

Authors:  Anila Verma; Angela Weir; Jane Drummond; Bryan F Mitchell
Journal:  J Epidemiol Community Health       Date:  2005-05       Impact factor: 3.710

2.  Incidence of severe adverse neonatal outcomes: use of a composite indicator in a population cohort.

Authors:  Samantha J Lain; Charles S Algert; Natasha Nassar; Jennifer R Bowen; Christine L Roberts
Journal:  Matern Child Health J       Date:  2012-04

3.  Neonatal intensive care unit: predictive models for length of stay.

Authors:  G J Bender; D Koestler; H Ombao; M McCourt; B Alskinis; L P Rubin; J F Padbury
Journal:  J Perinatol       Date:  2012-06-07       Impact factor: 2.521

4.  A High-Fidelity Model to Predict Length-of-Stay in the Neonatal Intensive Care Unit (NICU).

Authors:  Kanix Wang; Walid Hussain; John R Birge; Michael D Schreiber; Daniel Adelman
Journal:  INFORMS J Comput       Date:  2021-08-30       Impact factor: 3.288

  4 in total

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