Evidence map›Paper›PMID 37786497›Full record

ArticleFuture healthcare journal2023

Building on a novel bootstrapping modelling technique to predict region-wide critical care capacity requirements over the next decade.

Tom Lawton, Aaron Corp, Claire Horsfield, Michael McCooe, Paul Stonelake, Simon Whiteley

Abstract readCase Reports
In one paragraph

Article in Future healthcare journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Tom LawtonBradford Institute for Health Research, Bradford, UK.
Aaron CorpBradford Institute for Health Research, Bradford, UK.
Claire HorsfieldWest Yorkshire Critical Care and Major Trauma Operational Delivery Network, Leeds, UK.
Michael McCooeImprovement Academy, Bradford Institute for Health Research, Bradford, UK.
Paul StonelakeWest Yorkshire Critical Care and Major Trauma Operational Delivery Network, Leeds, UK.
Simon WhiteleyWest Yorkshire Critical Care and Major Trauma Operational Delivery Network, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have previously described an open-source data-driven modelling technique that has been used to model critical care resource provision as well as expanded to elective surgery and even whole-hospital modelling. Here, we describe the use of this technique to model patient flow and resource use across the West Yorkshire Critical Care Network, with the advantage that recommendations can be made at an individual unit level for future resource provision, taking into account changes in population numbers and demography over the coming decade. We will be using this approach in other regions around the UK to help predict future critical care capacity requirements.

Indexed as

critical carehealth planningmodellingsimulation

Identifiers

PMID37786497
PMCPMC10538684

What OpenQuestion holds

Textmetadata
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.