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What factors predict length of stay in a neonatal unit: a systematic review
OBJECTIVE: In the UK, 1 in 10 babies require specialist neonatal care. This care can last from hours to months depending on the need of the baby. The increasing survival of very preterm babies has increased neonatal care resource use. Evidence from multiple studies is crucial to identify factors whi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073598/ https://www.ncbi.nlm.nih.gov/pubmed/27797978 http://dx.doi.org/10.1136/bmjopen-2015-010466 |
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author | Seaton, Sarah E Barker, Lisa Jenkins, David Draper, Elizabeth S Abrams, Keith R Manktelow, Bradley N |
author_facet | Seaton, Sarah E Barker, Lisa Jenkins, David Draper, Elizabeth S Abrams, Keith R Manktelow, Bradley N |
author_sort | Seaton, Sarah E |
collection | PubMed |
description | OBJECTIVE: In the UK, 1 in 10 babies require specialist neonatal care. This care can last from hours to months depending on the need of the baby. The increasing survival of very preterm babies has increased neonatal care resource use. Evidence from multiple studies is crucial to identify factors which may be important for predicting length of stay (LOS). The ability to predict LOS is vital for resource planning, decision-making and parent counselling. The objective of this review was to identify which factors are important to consider when predicting LOS in the neonatal unit. DESIGN: A systematic review was undertaken which searched MEDLINE, EMBASE and Scopus for papers from 1994 to 2016 (May) for research investigating prediction of neonatal LOS. Strict inclusion and exclusion criteria were applied. Quality of each study was discussed, but not used as a reason for exclusion from the review. MAIN OUTCOME MEASURE: Prediction of LOS in the neonatal unit. RESULTS: 9 studies were identified which investigated the prediction of neonatal LOS indicating a lack of evidence in the area. Inherent factors, particularly birth weight, sex and gestational age allow for a simple and objective prediction of LOS, which can be calculated on the first day of life. However, other early occurring factors may well also be important and estimates may need revising throughout the baby's stay in hospital. CONCLUSIONS: Predicting LOS is vital to aid the commissioning of services and to help clinicians in their counselling of parents. The lack of evidence in this area indicates a need for larger studies to investigate methods of accurately predicting LOS. |
format | Online Article Text |
id | pubmed-5073598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-50735982016-11-07 What factors predict length of stay in a neonatal unit: a systematic review Seaton, Sarah E Barker, Lisa Jenkins, David Draper, Elizabeth S Abrams, Keith R Manktelow, Bradley N BMJ Open Paediatrics OBJECTIVE: In the UK, 1 in 10 babies require specialist neonatal care. This care can last from hours to months depending on the need of the baby. The increasing survival of very preterm babies has increased neonatal care resource use. Evidence from multiple studies is crucial to identify factors which may be important for predicting length of stay (LOS). The ability to predict LOS is vital for resource planning, decision-making and parent counselling. The objective of this review was to identify which factors are important to consider when predicting LOS in the neonatal unit. DESIGN: A systematic review was undertaken which searched MEDLINE, EMBASE and Scopus for papers from 1994 to 2016 (May) for research investigating prediction of neonatal LOS. Strict inclusion and exclusion criteria were applied. Quality of each study was discussed, but not used as a reason for exclusion from the review. MAIN OUTCOME MEASURE: Prediction of LOS in the neonatal unit. RESULTS: 9 studies were identified which investigated the prediction of neonatal LOS indicating a lack of evidence in the area. Inherent factors, particularly birth weight, sex and gestational age allow for a simple and objective prediction of LOS, which can be calculated on the first day of life. However, other early occurring factors may well also be important and estimates may need revising throughout the baby's stay in hospital. CONCLUSIONS: Predicting LOS is vital to aid the commissioning of services and to help clinicians in their counselling of parents. The lack of evidence in this area indicates a need for larger studies to investigate methods of accurately predicting LOS. BMJ Publishing Group 2016-10-18 /pmc/articles/PMC5073598/ /pubmed/27797978 http://dx.doi.org/10.1136/bmjopen-2015-010466 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Paediatrics Seaton, Sarah E Barker, Lisa Jenkins, David Draper, Elizabeth S Abrams, Keith R Manktelow, Bradley N What factors predict length of stay in a neonatal unit: a systematic review |
title | What factors predict length of stay in a neonatal unit: a systematic review |
title_full | What factors predict length of stay in a neonatal unit: a systematic review |
title_fullStr | What factors predict length of stay in a neonatal unit: a systematic review |
title_full_unstemmed | What factors predict length of stay in a neonatal unit: a systematic review |
title_short | What factors predict length of stay in a neonatal unit: a systematic review |
title_sort | what factors predict length of stay in a neonatal unit: a systematic review |
topic | Paediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073598/ https://www.ncbi.nlm.nih.gov/pubmed/27797978 http://dx.doi.org/10.1136/bmjopen-2015-010466 |
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