Evidence map›Paper›PMID 30134882›Full record

ReviewBMC health services research2018

A multicriteria resource allocation model for the redesign of services following birth.

John Bowers, Helen Cheyne, Gillian Mould, Martin Miller, Miranda Page, Fiona Harris, Debra Bick

Abstract readReview
In one paragraph

Review in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

John BowersStirling Management School, University of Stirling, Stirling, FK9 4LA, UK. j.a.bowers@stir.ac.uk.ORCID http://orcid.org/0000-0002-2971-0917
Helen CheyneNursing, Midwifery and Allied Health Professions Research Unit, Unit 13 Scion House, Stirling University Innovation Park, Stirling, FK9 4NF, UK.
Gillian MouldStirling Management School, University of Stirling, Stirling, FK9 4LA, UK.
Martin MillerStirling Management School, University of Stirling, Stirling, FK9 4LA, UK.
Miranda PageNursing, Midwifery and Allied Health Professions Research Unit, Unit 13 Scion House, Stirling University Innovation Park, Stirling, FK9 4NF, UK.
Fiona HarrisNursing, Midwifery and Allied Health Professions Research Unit, Unit 13 Scion House, Stirling University Innovation Park, Stirling, FK9 4NF, UK.
Debra BickFlorence Nightingale School of Nursing and Midwifery, King's College London, James Clerk Maxwell Building, 57 Waterloo Road, London, SE1 8WA, UK.

Funding

Economic and Social Research Council KTP008934
6 · The paper itself

Abstract

backgroundMany healthcare services are under considerable pressure to reduce costs while improving quality. This is particularly true in the United Kingdom's National Health Service where postnatal care is sometimes viewed as having a low priority. There is much debate about the service's redesign and the reallocation of resources, both along care pathways and between groups of mothers and babies with different needs. The aim of this study was to develop a decision support tool that would encourage a systemic approach to service redesign and that could assess the various quality and financial implications of service change options making the consequent trade-offs explicit. The paper describes the development process and an initial implementation as a preliminary exploration of the possible merits of this approach.

methodsOther studies have suggested that combining multicriteria decision analysis with programme budgeting and marginal analysis might offer a suitable basis for resource allocation decisions in healthcare systems. The Postnatal care Resource Allocation Model incorporated this approach in a decision support tool to analyse the consequences of varying design parameters, notably staff contacts and time, on the various quality domains and costs. The initial phase of the study focussed on mapping postnatal care, involving interviews and workshops with a variety of stakeholders. This was supplemented with a literature review and the resultant knowledge base was encoded in the decision support tool. The model was then tested with various stakeholders before being used in an NHS Trust in England.

resultsThe model provides practical support, helping staff explore options and articulate their proposals for the redesign of postnatal care. The integration of cost and quality domains facilitates trade-offs, allowing staff to explore the benefits of reallocating resources between hospital and community-based care, and different patient-categories.

conclusionsThe main benefits of the model include its structure for assembling the key data, sharing evidence amongst multi-professional teams and encouraging constructive, systemic debate. Although the model was developed in the context of the routine maternity services for mothers and babies in the days following birth it could be adapted for use in other health care services.

Indexed as

Postnatal CareResource AllocationState MedicineCost SavingsDelivery of Health CareFemaleHealth PrioritiesHumansPregnancyQuality ImprovementUnited KingdomCare qualityCost savingsMaternity servicesMulticriteria decision analysisPostnatal carePriority settingProgram budgeting and marginal analysisResource allocation

Identifiers

PMID30134882
PMCPMC6106921

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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.