Evidence map›Paper›PMID 38162202›Full record

ArticleFuture healthcare journal2023

The association of demographics, frailty and multiple health conditions with outcomes from acute medical admissions to hospitals in England: exploratory analysis of an administrative dataset.

Andrew Boasman, Michael Jones, Philip Dyer, Tim Wr Briggs, William K Gray

Open access · diamondAbstract read
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, top 67% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

5 authors at 4 institutions in 1 country.

Andrew BoasmanGetting It Right First Time Programme, NHS England, London, UK.
Michael JonesGetting It Right First Time Programme, NHS England, London, UK, and consultant physician in acute medicine, County Durham and Darlington NHS Foundation Trust, Durham, UK.
Philip DyerGetting It Right First Time Programme, NHS England, London, UK and consultant physician in general medicine, diabetes and endocrinology, Heartlands Hospital, Birmingham, UK.
Tim Wr BriggsGetting It Right First Time Programme and NHS England national director for clinical improvement and elective recovery, NHS England, London, UK.
William K GrayGetting It Right First Time programme, NHS England, London, UK.
NHS EnglandCounty Durham and Darlington NHS Foundation Trust · GBHeartlands Hospital · GBNHS Education for Scotland · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency and acute hospital services in England are under increasing pressure. The aim of this study was to investigate the association between key case-mix indicators and outcomes for adults admitted to hospital with an acute medical condition in England. All patients aged ≥16 years admitted to hospital in England as an acute unselected medical admission and who survived to discharge during the financial year 2021-2022 were included. Length of hospital stay was the primary outcome of interest. Data were available for 1,586,168 unique patients. A case-mix index was developed with a score that ranged from 0 to 12. Frailty was the most important variable in the index, followed by multiple health conditions and patient age. The mean case-mix score across hospital trusts in England ranged from 5.3 to 7.8. The case-mix index will support initiatives to better understand factors contributing to outcomes from acute medical admissions to hospital.

Indexed as

case-mixemergency carequality improvementunwarranted variation

Identifiers

PMID38162202
PMCPMC10753216
OpenAlexW4389210263

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.