University of Hertfordshire

By the same authors

Analysis of Variability in Neonatal Care Units: A Retrospective Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Analysis of Variability in Neonatal Care Units : A Retrospective Analysis. / Adeyemi, Shola; Demir, Eren; Chahed, Salma; Chaussalet, Thierry J.

Procs 2010 IEEE Workshop on Healthcare Management. IEEE, 2010. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Adeyemi, S, Demir, E, Chahed, S & Chaussalet, TJ 2010, Analysis of Variability in Neonatal Care Units: A Retrospective Analysis. in Procs 2010 IEEE Workshop on Healthcare Management. IEEE, pp. 1-6. https://doi.org/10.1109/WHCM.2010.5441246

APA

Adeyemi, S., Demir, E., Chahed, S., & Chaussalet, T. J. (2010). Analysis of Variability in Neonatal Care Units: A Retrospective Analysis. In Procs 2010 IEEE Workshop on Healthcare Management (pp. 1-6). IEEE. https://doi.org/10.1109/WHCM.2010.5441246

Vancouver

Adeyemi S, Demir E, Chahed S, Chaussalet TJ. Analysis of Variability in Neonatal Care Units: A Retrospective Analysis. In Procs 2010 IEEE Workshop on Healthcare Management. IEEE. 2010. p. 1-6 https://doi.org/10.1109/WHCM.2010.5441246

Author

Adeyemi, Shola ; Demir, Eren ; Chahed, Salma ; Chaussalet, Thierry J. / Analysis of Variability in Neonatal Care Units : A Retrospective Analysis. Procs 2010 IEEE Workshop on Healthcare Management. IEEE, 2010. pp. 1-6

Bibtex

@inproceedings{8e21303fb2204f8380de8892030decb1,
title = "Analysis of Variability in Neonatal Care Units: A Retrospective Analysis",
abstract = "The number of babies needing neonatal care is increasing due mainly to technological and therapeutic advances. These advances have implied a decreasing neonatal mortality rate for low birth weight infants and also a falling incidence of preterm stillbirth. Unfortunately, the neonatal system is facing some challenges, such as the nurse shortage and the lack of cots that could impact neonates' length-of-stay (LOS), medical conditions, and so on. In this paper, we aim at studying the variability of the neonatal system and its population. We first analyse the length of stay, gestation age and birth weight of babies admitted to an English neonatal hospital. We then perform an analysis of variation of the LOS for each level of care based on variables specific to babies' pathways, i.e. reasons for admission, types of referral, discharge destinations and booked places. Finally, we estimate the pairwise correlations between intensive care unit LOS, high dependency unit LOS and special care unit LOS. Hence, understanding babies characteristics and how long they will stay at each level of care is an important step for an efficient management of the neonatal system. ",
author = "Shola Adeyemi and Eren Demir and Salma Chahed and Chaussalet, {Thierry J}",
year = "2010",
doi = "10.1109/WHCM.2010.5441246",
language = "English",
isbn = "978-1-4244-4997-2",
pages = "1--6",
booktitle = "Procs 2010 IEEE Workshop on Healthcare Management",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Analysis of Variability in Neonatal Care Units

T2 - A Retrospective Analysis

AU - Adeyemi, Shola

AU - Demir, Eren

AU - Chahed, Salma

AU - Chaussalet, Thierry J

PY - 2010

Y1 - 2010

N2 - The number of babies needing neonatal care is increasing due mainly to technological and therapeutic advances. These advances have implied a decreasing neonatal mortality rate for low birth weight infants and also a falling incidence of preterm stillbirth. Unfortunately, the neonatal system is facing some challenges, such as the nurse shortage and the lack of cots that could impact neonates' length-of-stay (LOS), medical conditions, and so on. In this paper, we aim at studying the variability of the neonatal system and its population. We first analyse the length of stay, gestation age and birth weight of babies admitted to an English neonatal hospital. We then perform an analysis of variation of the LOS for each level of care based on variables specific to babies' pathways, i.e. reasons for admission, types of referral, discharge destinations and booked places. Finally, we estimate the pairwise correlations between intensive care unit LOS, high dependency unit LOS and special care unit LOS. Hence, understanding babies characteristics and how long they will stay at each level of care is an important step for an efficient management of the neonatal system.

AB - The number of babies needing neonatal care is increasing due mainly to technological and therapeutic advances. These advances have implied a decreasing neonatal mortality rate for low birth weight infants and also a falling incidence of preterm stillbirth. Unfortunately, the neonatal system is facing some challenges, such as the nurse shortage and the lack of cots that could impact neonates' length-of-stay (LOS), medical conditions, and so on. In this paper, we aim at studying the variability of the neonatal system and its population. We first analyse the length of stay, gestation age and birth weight of babies admitted to an English neonatal hospital. We then perform an analysis of variation of the LOS for each level of care based on variables specific to babies' pathways, i.e. reasons for admission, types of referral, discharge destinations and booked places. Finally, we estimate the pairwise correlations between intensive care unit LOS, high dependency unit LOS and special care unit LOS. Hence, understanding babies characteristics and how long they will stay at each level of care is an important step for an efficient management of the neonatal system.

U2 - 10.1109/WHCM.2010.5441246

DO - 10.1109/WHCM.2010.5441246

M3 - Conference contribution

SN - 978-1-4244-4997-2

SP - 1

EP - 6

BT - Procs 2010 IEEE Workshop on Healthcare Management

PB - IEEE

ER -