Gj. Escobar et al., IDENTIFICATION OF NEONATAL DEATHS IN A LARGE MANAGED CARE ORGANIZATION, Paediatric and perinatal epidemiology, 11(1), 1997, pp. 93-104
The neonatal (<28 days) mortality rate (NMR) is one of the most common
ly employed maternal and child health epidemiological measures. It is
also being employed in quality measures ('report cards') used to asses
s the performance of health care organisations. The objectives were to
(1) develop methods for the rapid quantification of the neonatal mort
ality rate in a multi-hospital system, the Kaiser Permanente Medical C
are Program's Northern California Region (KPMCP NCR), (2) develop meth
ods for generating facility-specific rates and case lists, and (3) asc
ertain the capture rates of the information sources available to us. P
otential neonatal deaths were identified in the KPMCP NCR for the 1990
and 1991 calendar years from 3 sources: (1) clerical searches of loca
l facility records, (2) electronic searches of the KPMCP NCR hospitali
sation database, and (3) linking KPMCP electronic birth records to dea
th certificate tapes. The medical records of all infants identified th
rough these methods were reviewed. The neonatal mortality rate was cal
culated in three ways: (1) including all livebirths, (2) excluding bir
ths weighing <500g, and (3) adjusting for prematurity by increasing th
e follow-up period in preterm babies (these babies were included as ne
onatal deaths if they died up to 40 weeks corrected age +27.9 days). A
total of 352 records out of 64469 birth records in the KPMCP NCR were
reviewed. If one includes babies <500 g, the neonatal mortality rate
was 3.72/1000 livebirths; if these babies are excluded, the rate was 3
.05/1000. Adjusting for prematurity increased these rates to 3.91/1000
and 3.24/1000, respectively. Accurate quantification of the neonatal
mortality rate in a multihospital system requires the use of multiple
information sources. Use of a single source can lead to varying rates
of over- or under-estimation. It is possible to employ our methodology
for both research and operational purposes.