The timing of neonatal discharge: An example of unwarranted variation?

Citation
Sm. Touch et al., The timing of neonatal discharge: An example of unwarranted variation?, PEDIATRICS, 107(1), 2001, pp. 73-77
Citations number
9
Categorie Soggetti
Pediatrics,"Medical Research General Topics
Journal title
PEDIATRICS
ISSN journal
00314005 → ACNP
Volume
107
Issue
1
Year of publication
2001
Pages
73 - 77
Database
ISI
SICI code
0031-4005(200101)107:1<73:TTONDA>2.0.ZU;2-N
Abstract
Discharge from an intensive care nursery should be dependent on the infant' s clinical and social condition and independent of the day of the week. Objective. To evaluate admission and discharge dates of 5272 neonates cared for in 5 major metropolitan regions in the United States and managed by a national disease management company for the distribution of the day of the week. Study Design. All infants discharged to home between July 1, 1996 and Septe mber 30, 1998 are included. Data are represented as a percentage of total d ischarges or admissions for each weekday assignment. Using the normal appro ximation to the multinomial distribution, we tested for proportional differ ences on each weekday. Results. The data demonstrate that the timing of nursery discharge has an u neven distribution across the days of the week, with weekend (Saturday and Sunday) discharge rates that are significantly lower than weekday discharge rates. This uneven distribution exists in both the term and preterm subgro ups as well. There is also an uneven distribution of births among the days of the week, with a pattern that reveals fewer weekend births than weekday births in the entire population studied, as well as in both the term and pr eterm subgroups. Normalizing these weekend discharges to the previous weekd ay could generate potential saving of $1 569 405 in charges for the total p opulation and 627 days of hospitalization. The average length of stay of in fants discharged on Mondays is longer than for those infants discharged on Saturday or Sunday. Conclusions. We speculate that changes in discharge planning could decrease the variation in day of discharge, shorten length of hospitalization, and potentially reduce cost.