Evidence map›Paper›PMID 36130758›Full record

ArticleBMJ open2022

Maternity service reconfigurations for intrapartum and postnatal midwifery staffing shortages: modelling of low-risk births in England.

Christopher Grollman, Marina A S Daniele, Lia Brigante, Gwenan M Knight, Laura Latina, Andrei S Morgan, Soo Downe

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Christopher GrollmanSchool of Health Sciences, City University of London, London, UK.ORCID 0000-0002-6950-1837
Marina A S DanieleSchool of Health Sciences, City University of London, London, UK marina.daniele@city.ac.uk.ORCID 0000-0002-5666-9489
Lia BriganteDepartment of Women & Children's Health, King's College London, London, UK.ORCID 0000-0003-0206-9135
Gwenan M KnightCentre for the Mathematical Modelling of Infectious Diseases, LSHTM, London, UK.ORCID 0000-0002-7263-9896
Laura LatinaVerona, Italy.ORCID 0000-0003-2923-9464
Andrei S MorganEquipe EPOPé, U 1153, Université de Paris, CRESS, INSERM, INRA, F-75004, Paris, France.ORCID 0000-0003-4143-1977
Soo DowneResearch in Childbirth and Health (ReaCH) Group, THRIVE Centre, University of Central Lancashire, Preston, UK.ORCID 0000-0003-2848-2550
City, University of London · GBKing's College London · GBLondon School of Hygiene & Tropical Medicine · GBUniversity College Hospital · GBUniversity of Lancashire · GB

Funding

Medical Research Council MR/P014658/1
6 · The paper itself

Abstract

introductionChoice of birth setting is important and it is valuable to know how reconfiguring available settings may affect midwifery staffing needs. COVID-19-related health system pressures have meant restriction of community births. We aimed to model the potential of service reconfigurations to offset midwifery staffing shortages.

methodsWe adapted the Birthrate Plus method to develop a tool that models the effects on intrapartum and postnatal midwifery staffing requirements of changing service configurations for low-risk births. We tested our tool on two hypothetical model trusts with different baseline configurations of hospital and community low-risk birth services, representing those most common in England, and applied it to scenarios with midwifery staffing shortages of 15%, 25% and 35%. In scenarios with midwifery staffing shortages above 15%, we modelled restricting community births in line with professional guidance on COVID-19 service reconfiguration. For shortages of 15%, we modelled expanding community births per the target of the Maternity Transformation programme.

resultsExpanding community births with 15% shortages required 0.0 and 0.1 whole-time equivalent more midwives in our respective trusts compared with baseline, representing 0% and 0.1% of overall staffing requirements net of shortages. Restricting home births with 25% shortages reduced midwifery staffing need by 0.1 midwives (-0.1% of staffing) and 0.3 midwives (-0.3%). Suspending community births with 35% shortages meant changes of -0.3 midwives (-0.3%) and -0.5 midwives (-0.5%) in the two trusts. Sensitivity analysis showed that our results were robust even under extreme assumptions.

conclusionOur model found that reconfiguring maternity services in response to shortages has a negligible effect on intrapartum and postnatal midwifery staffing needs. Given this, with lower degrees of shortage, managers can consider increasing community birth options where there is demand. In situations of severe shortage, reconfiguration cannot recoup the shortage and managers must decide how to modify service arrangements.

Indexed as

COVID-19Home ChildbirthMidwiferyEnglandFemaleHumansPregnancyWorkforceHuman resource managementOBSTETRICSOrganisation of health services

Identifiers

PMID36130758
PMCPMC9494012
OpenAlexW4296564604

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.