A framework to address key issues of neonatal service configuration in England: the NeoNet multimethods study

Author:

Villeneuve Emma12ORCID,Landa Paolo2ORCID,Allen Michael12ORCID,Spencer Anne2ORCID,Prosser Sue3ORCID,Gibson Andrew4ORCID,Kelsey Katie2ORCID,Mujica-Mota Ruben2ORCID,Manktelow Brad5ORCID,Modi Neena6ORCID,Thornton Steve7ORCID,Pitt Martin12ORCID

Affiliation:

1. National Institute for Health Research: Collaborations for Leadership in Applied Health Research and Care – South West Peninsula, University of Exeter Medical School, University of Exeter, Exeter, UK

2. Institute of Health Research, University of Exeter Medical School, University of Exeter, Exeter, UK

3. Neonatal Unit, Royal Devon and Exeter Hospital, Exeter, UK

4. Department of Health and Social Sciences, University of the West of England, Bristol, UK

5. Department of Health Sciences, University of Leicester, Leicester, UK

6. Section of Neonatal Medicine, Department of Medicine, Imperial College London, London, UK

7. Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK

Abstract

BackgroundThere is an inherent tension in neonatal services between the efficiency and specialised care that comes with centralisation and the provision of local services with associated ease of access and community benefits. This study builds on previous work in South West England to address these issues at a national scale.Objectives(1) To develop an analytical framework to address key issues of neonatal service configuration in England, (2) to investigate visualisation tools to facilitate the communication of findings to stakeholder groups and (3) to assess parental preferences in relation to service configuration alternatives.Main outcome measuresThe ability to meet nurse staffing guidelines, volumes of units, costs, mortality, number and distance of transfers, travel distances and travel times for parents.DesignDescriptive statistics, location analysis, mathematical modelling, discrete event simulation and economic analysis were used. Qualitative methods were used to interview policy-makers and parents. A parent advisory group supported the study.SettingNHS neonatal services across England.DataNeonatal care data were sourced from the National Neonatal Research Database. Information on neonatal units was drawn from the National Neonatal Audit Programme. Geographic and demographic data were sourced from the Office for National Statistics. Travel time data were retrieved via a geographic information system. Birth data were sourced from Hospital Episode Statistics. Parental cost data were collected via a survey.ResultsLocation analysis shows that to achieve 100% of births in units with ≥ 6000 births per year, the number of birth centres would need to be reduced from 161 to approximately 72, with more parents travelling > 30 minutes. The maximum number of neonatal intensive care units (NICUs) needed to achieve 100% of very low-birthweight infants attending high-volume units is 36 with existing NICUs, or 48 if NICUs are located wherever there is currently a neonatal unit of any level. Simulation modelling further demonstrated the workforce implications of different configurations. Mortality modelling shows that the birth of very preterm infants in high-volume hospitals reduces mortality (a conservative estimate of a 1.2-percentage-point lower risk) relative to these births in other hospitals. It is currently not possible to estimate the impact of mortality for infants transferred into NICUs. Cost modelling shows that the mean length of stay following a birth in a high-volume hospital is 9 days longer and the mean cost is £5715 more than for a birth in another neonatal unit. In addition, the incremental cost per neonatal life saved is £460,887, which is comparable to other similar life-saving interventions. The analysis of parent costs identified unpaid leave entitlement, food, travel, accommodation, baby care and parking as key factors. The qualitative study suggested that central concerns were the health of the baby and mother, communication by medical teams and support for families.LimitationsThe following factors could not be modelled because of a paucity of data – morbidity outcomes, the impact of transfers and the maternity/neonatal service interface.ConclusionsAn evidence-based framework was developed to inform the configuration of neonatal services and model system performance from the perspectives of both service providers and parents.Future workTo extend the modelling to encompass the interface between maternity and neonatal services.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

Funder

Health Services and Delivery Research (HS&DR) Programme

Publisher

National Institute for Health Research

Subject

General Economics, Econometrics and Finance

Reference154 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3