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How can consultant-led childbirth care at time of delivery be maximised? A modelling study
OBJECTIVE: The Royal College of Obstetricians and Gynaecologists has advised that consolidation of birth centres, where reasonable, into birth centres of at least 6000 admissions per year should allow constant consultant presence. Currently, only 17% of mothers attend such birth centres. The objecti...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348651/ https://www.ncbi.nlm.nih.gov/pubmed/32641323 http://dx.doi.org/10.1136/bmjopen-2019-034830 |
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author | Allen, Michael Villeneuve, Emma Pitt, Martin Thornton, Steve |
author_facet | Allen, Michael Villeneuve, Emma Pitt, Martin Thornton, Steve |
author_sort | Allen, Michael |
collection | PubMed |
description | OBJECTIVE: The Royal College of Obstetricians and Gynaecologists has advised that consolidation of birth centres, where reasonable, into birth centres of at least 6000 admissions per year should allow constant consultant presence. Currently, only 17% of mothers attend such birth centres. The objective of this work was to examine the feasibility of consolidation of birth centres, from the perspectives of birth centre size and travel times for mothers. DESIGN: Computer-based optimisation. SETTING: Hospital-based births. POPULATION OR SAMPLE: 1.91 million admissions in 2014–2016. METHODS: A multiple-objective genetic algorithm. MAIN OUTCOME MEASURES: Travel time for mothers and size of birth centres. RESULTS: Currently, with 161 birth centres, 17% of women attend a birth centre with at least 6000 admissions per year. We estimate that 95% of women have a travel time of 30 min or less. An example scenario, with 100 birth centres, could provide 75% of care in birth centres with at least 6000 admissions per year, with 95% of women travelling 35 min or less to their closest birth centre. Planning at local level leads to reduced ability to meet admission and travel time targets. CONCLUSIONS: While it seems unrealistic to have all births in birth centres with at least 6000 admissions per year, it appears realistic to increase the percentage of mothers attending this type of birth centre from 17% to about 75% while maintaining reasonable travel times. Planning at a local level leads to suboptimal solutions. |
format | Online Article Text |
id | pubmed-7348651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-73486512020-07-14 How can consultant-led childbirth care at time of delivery be maximised? A modelling study Allen, Michael Villeneuve, Emma Pitt, Martin Thornton, Steve BMJ Open Obstetrics and Gynaecology OBJECTIVE: The Royal College of Obstetricians and Gynaecologists has advised that consolidation of birth centres, where reasonable, into birth centres of at least 6000 admissions per year should allow constant consultant presence. Currently, only 17% of mothers attend such birth centres. The objective of this work was to examine the feasibility of consolidation of birth centres, from the perspectives of birth centre size and travel times for mothers. DESIGN: Computer-based optimisation. SETTING: Hospital-based births. POPULATION OR SAMPLE: 1.91 million admissions in 2014–2016. METHODS: A multiple-objective genetic algorithm. MAIN OUTCOME MEASURES: Travel time for mothers and size of birth centres. RESULTS: Currently, with 161 birth centres, 17% of women attend a birth centre with at least 6000 admissions per year. We estimate that 95% of women have a travel time of 30 min or less. An example scenario, with 100 birth centres, could provide 75% of care in birth centres with at least 6000 admissions per year, with 95% of women travelling 35 min or less to their closest birth centre. Planning at local level leads to reduced ability to meet admission and travel time targets. CONCLUSIONS: While it seems unrealistic to have all births in birth centres with at least 6000 admissions per year, it appears realistic to increase the percentage of mothers attending this type of birth centre from 17% to about 75% while maintaining reasonable travel times. Planning at a local level leads to suboptimal solutions. BMJ Publishing Group 2020-07-08 /pmc/articles/PMC7348651/ /pubmed/32641323 http://dx.doi.org/10.1136/bmjopen-2019-034830 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Obstetrics and Gynaecology Allen, Michael Villeneuve, Emma Pitt, Martin Thornton, Steve How can consultant-led childbirth care at time of delivery be maximised? A modelling study |
title | How can consultant-led childbirth care at time of delivery be maximised? A modelling study |
title_full | How can consultant-led childbirth care at time of delivery be maximised? A modelling study |
title_fullStr | How can consultant-led childbirth care at time of delivery be maximised? A modelling study |
title_full_unstemmed | How can consultant-led childbirth care at time of delivery be maximised? A modelling study |
title_short | How can consultant-led childbirth care at time of delivery be maximised? A modelling study |
title_sort | how can consultant-led childbirth care at time of delivery be maximised? a modelling study |
topic | Obstetrics and Gynaecology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348651/ https://www.ncbi.nlm.nih.gov/pubmed/32641323 http://dx.doi.org/10.1136/bmjopen-2019-034830 |
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