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Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study
Background Neonatal intensive care units (NICU) provide essential medical care to neonates; however, they are associated with hospital-acquired infections, less maternal-newborn bonding, and high costs. Implementing strategies to lower NICU admission rates and shorten NICU length of stay (LOS) is es...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362942/ https://www.ncbi.nlm.nih.gov/pubmed/37485146 http://dx.doi.org/10.7759/cureus.40813 |
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author | Shields, Lisa B Davydov, Yevgeniy Glyder, Angela Weymouth, Clayton Udwin, Michael Eakins, Matt |
author_facet | Shields, Lisa B Davydov, Yevgeniy Glyder, Angela Weymouth, Clayton Udwin, Michael Eakins, Matt |
author_sort | Shields, Lisa B |
collection | PubMed |
description | Background Neonatal intensive care units (NICU) provide essential medical care to neonates; however, they are associated with hospital-acquired infections, less maternal-newborn bonding, and high costs. Implementing strategies to lower NICU admission rates and shorten NICU length of stay (LOS) is essential. This study uses causal-inference methods to evaluate the impact of care managers using new technology to identify and risk stratify pregnancies on NICU admissions and NICU LOS. The NICU LOS will decrease as a result of the use of new technology by care managers. Study design This retrospective study utilized delivery claims data of pregnant women from the CareFirst BlueCross BlueShield Community Health Plan District of Columbia from 2013 to 2022, which includes the pre-intervention period before the use of new technology by care managers and the post-intervention period with the use of new technology by care managers. Our sample had 4,917 deliveries whose maternal comorbidities were matched with their neonate’s outcomes. Methods To evaluate the impact of the technological intervention, both Generalized Linear Models (GLMs) and Bayesian Structural Time-Series (BSTS) models were used. Results Our findings from the GLM models suggest an overall average reduction in the odds of NICU admissions of 29.2% and an average decrease in NICU LOS from 7.5%-58.5%. Using BSTS models, we estimate counterfactuals for NICU admissions and NICU LOS, which suggest an average reduction in 48 NICU admissions and 528 NICU days per year. Conclusion Equipping care managers with better technological tools can lead to significant improvements in neonatal health outcomes as indicated by a reduction in NICU admissions and NICU LOS. |
format | Online Article Text |
id | pubmed-10362942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-103629422023-07-23 Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study Shields, Lisa B Davydov, Yevgeniy Glyder, Angela Weymouth, Clayton Udwin, Michael Eakins, Matt Cureus Obstetrics/Gynecology Background Neonatal intensive care units (NICU) provide essential medical care to neonates; however, they are associated with hospital-acquired infections, less maternal-newborn bonding, and high costs. Implementing strategies to lower NICU admission rates and shorten NICU length of stay (LOS) is essential. This study uses causal-inference methods to evaluate the impact of care managers using new technology to identify and risk stratify pregnancies on NICU admissions and NICU LOS. The NICU LOS will decrease as a result of the use of new technology by care managers. Study design This retrospective study utilized delivery claims data of pregnant women from the CareFirst BlueCross BlueShield Community Health Plan District of Columbia from 2013 to 2022, which includes the pre-intervention period before the use of new technology by care managers and the post-intervention period with the use of new technology by care managers. Our sample had 4,917 deliveries whose maternal comorbidities were matched with their neonate’s outcomes. Methods To evaluate the impact of the technological intervention, both Generalized Linear Models (GLMs) and Bayesian Structural Time-Series (BSTS) models were used. Results Our findings from the GLM models suggest an overall average reduction in the odds of NICU admissions of 29.2% and an average decrease in NICU LOS from 7.5%-58.5%. Using BSTS models, we estimate counterfactuals for NICU admissions and NICU LOS, which suggest an average reduction in 48 NICU admissions and 528 NICU days per year. Conclusion Equipping care managers with better technological tools can lead to significant improvements in neonatal health outcomes as indicated by a reduction in NICU admissions and NICU LOS. Cureus 2023-06-22 /pmc/articles/PMC10362942/ /pubmed/37485146 http://dx.doi.org/10.7759/cureus.40813 Text en Copyright © 2023, Shields et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Obstetrics/Gynecology Shields, Lisa B Davydov, Yevgeniy Glyder, Angela Weymouth, Clayton Udwin, Michael Eakins, Matt Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study |
title | Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study |
title_full | Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study |
title_fullStr | Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study |
title_full_unstemmed | Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study |
title_short | Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study |
title_sort | impact of technology on neonatal intensive care unit admissions and length of stay: a retrospective study |
topic | Obstetrics/Gynecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362942/ https://www.ncbi.nlm.nih.gov/pubmed/37485146 http://dx.doi.org/10.7759/cureus.40813 |
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