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dc.contributor.authorVilleneuve, E
dc.contributor.authorLanda, P
dc.contributor.authorAllen, M
dc.contributor.authorSpencer, AE
dc.contributor.authorProsser, S
dc.contributor.authorGibson, A
dc.contributor.authorKelsey, K
dc.contributor.authorMujica Mota, R
dc.contributor.authorManktelow, B
dc.contributor.authorModi, N
dc.contributor.authorThornton, S
dc.contributor.authorPitt, M
dc.date.accessioned2018-09-26T12:50:09Z
dc.date.issued2018-10-17
dc.description.abstractBackground: There is an inherent tension in neonatalservices between the efficiency and specialised care that comes with centralisation, and the provision of localservices with associated ease of access and community benefits. This study builds on previous work in the SW of England to address these issues at a national scale. Objectives: To develop an analytical framework to addresses key issues of neonatal service configuration in England. To investigate visualisation tools to facilitate communication of findings to stakeholder groups. To assess parental preferences in relation to service configuration alternatives. Main outcome measures: Ability to meet nurse staffing guidelines, volumes of units, costs, mortality, number and distance of transfers, travel distances and times for parents. Design: Descriptive statistics, location analysis, mathematical modelling, discrete event simulation and economic analysis. Qualitative methods to interview policy makers and parents. A parent advisory group supported the study. Setting: NHS neonatal services across England. Data: Neonatal care data sourced from the National Neonatal Audit Database. Information on neonatal units from the National Neonatal Audit Programme. Geographic and demographic data from Office of National Statistics. Travel time data via a geographic information system. Birth data from Hospital Episode Statistics. Parental cost data via survey data. Results: Location analysis shows that to achieve 100% of births in units with at least 6,000 births per year, the number of birth centres would need to be reduced from 161 to approximately 72, with more parents travelling over 30 minutes. The maximum number of Neonatal Intensive Care Units (NICUs) needed to achieve 100% of very low birth weight (VLBW) infants attending high volume units (at least 100 VLBW admissions per year) is 36 with existing NICUs, or 48 if NICUs are located wherever there is currently a neonatal unit of any level. Mortality modelling shows birth for very preterm infants in high volume hospitals reduces mortality (a conservative estimate of 1.2 percentage point lower risk) relative to other hospitals. It is currently not possible to estimate the impact of mortality for infants transferred into NICUs. Cost modelling shows that length of stay (LOS) following birth in high volume hospitals is nine days longer and costs £5,715 more than 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. [iii] Analysis of parent costsidentified: unpaid leave entitlement, food, travel, accommodation, baby care and parking as key factors. The qualitative study suggested central concerns were: baby and mother’s health, communication by medical teams, and support for families. Limitations: We were unable to model the following factors due to paucity of data: morbidity outcomes, impact of transfers, and the maternity/neonatal service interface. Conclusions: We developed an evidence‐based framework to inform the configuration of neonatal services and model system performance from perspectives of both service providers and parents. Future work: To extend the modelling to encompass the interface between maternity and neonatal serviceen_GB
dc.description.sponsorshipThis project was funded by the National Institute for Health Research (NIHR) Health Service and Delivery (HS&DR) programme (Ref: 14/19/08).en_GB
dc.identifier.citationVol. 6 (35)en_GB
dc.identifier.doi10.3310/hsdr06350
dc.identifier.urihttp://hdl.handle.net/10871/34116
dc.language.isoenen_GB
dc.publisherNIHR Journals Libraryen_GB
dc.rights© Queen’s Printer and Controller of HMSO 2018.
dc.subjectNeonatal careen_GB
dc.subjectObstetricsen_GB
dc.subjectInfant Mortalityen_GB
dc.subjectPremature Infanten_GB
dc.subjectVery Low Birth Weight Infanten_GB
dc.subjectNeonatal Intensive Care Uniten_GB
dc.subjectPerinatal Careen_GB
dc.subjectPoint‐of‐Care systemsen_GB
dc.subjectBirthing Centresen_GB
dc.subjectGeographic Information Systemsen_GB
dc.subjectProbabilityen_GB
dc.subjectAlgorithmsen_GB
dc.subjectChoice Behaviouren_GB
dc.subjectComputer Heuristicsen_GB
dc.subjectHigh‐Volume Hospitalsen_GB
dc.subjectCost‐Benefit Analysisen_GB
dc.subjectPatient Participationen_GB
dc.subjectQualitative Researchen_GB
dc.subjectComputer Simulationen_GB
dc.titleA framework to address key issues of neonatal service configuration in England: the NeoNet multimethods studyen_GB
dc.typeArticleen_GB
dc.descriptionThis is the final version. Available from NIHR via the DOI in this record.en_GB
dc.identifier.journalHealth Services and Delivery Researchen_GB
dcterms.dateAccepted2018-02-19
rioxxterms.versionVoR
refterms.dateFCD2018-09-26T12:50:09Z
refterms.versionFCDAM
refterms.dateFOA2019-09-05T12:51:09Z


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