Evidence map›Paper›PMID 36529825›Full record

ArticleApplied health economics and health policy2023

The False Economy of Seeking to Eliminate Delayed Transfers of Care: Some Lessons from Queueing Theory.

Richard M Wood, Alison L Harper, Zehra Onen-Dumlu, Paul G Forte, Martin Pitt, Christos Vasilakis

Erratum issuedAbstract read
In one paragraph

Article in Applied health economics and health policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Richard M WoodUK National Health Service (BNSSG ICB), NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board, 360 Bristol, Marlborough St, Bristol, BS1 3NX, UK. richard.wood16@nhs.net.ORCID http://orcid.org/0000-0002-3476-395X
Alison L HarperMedical School, University of Exeter, Exeter, UK.
Zehra Onen-DumluSchool of Management, University of Bath, Bath, UK.
Paul G ForteUK National Health Service (BNSSG ICB), NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board, 360 Bristol, Marlborough St, Bristol, BS1 3NX, UK.
Martin PittMedical School, University of Exeter, Exeter, UK.
Christos VasilakisSchool of Management, University of Bath, Bath, UK.

Funding

Health Data Research UK CFC0129
6 · The paper itself

Abstract

backgroundIt is a stated ambition of many healthcare systems to eliminate delayed transfers of care (DTOCs) between acute and step-down community services.

objectiveThis study aims to demonstrate how, counter to intuition, pursual of such a policy is likely to be uneconomical, as it would require large amounts of community capacity to accommodate even the rarest of demand peaks, leaving much capacity unused for much of the time.

methodsSome standard results from queueing theory-a mathematical discipline for considering the dynamics of queues and queueing systems-are used to provide a model of patient flow from the acute to community setting. While queueing models have a track record of application in healthcare, they have not before been used to address this question.

resultsResults show that 'eliminating' DTOCs is a false economy: the additional community costs required are greater than the possible acute cost saving. While a substantial proportion of DTOCs can be attributed to inefficient use of resources, the remainder can be considered economically essential to ensuring cost-efficient service operation. For England's National Health Service (NHS), our modelling estimates annual cost savings of £117m if DTOCs are reduced to the 12% of current levels that can be regarded as economically essential.

conclusionThis study discourages the use of 'zero DTOC' targets and instead supports an assessment based on the specific characteristics of the healthcare system considered.

Indexed as

Delivery of Health CareState MedicineHumans

Identifiers

PMID36529825
PMCPMC9760184

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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.