Evidence map›Paper›PMID 32550282›Full record

ArticleFuture healthcare journal2020

Reducing hospital mortality: Incremental change informed by structured mortality review is effective.

Divya Tiwari, Alyson O'Donnell, Richard Renaut, Tristan Richardson, Stephen Allen

Abstract read
In one paragraph

Article in Future healthcare journal, 2020. 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
–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. Article
  2. 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

5 authors.

Divya TiwariThe Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust, Bournemouth, UK and Bournemouth University, Bournemouth, UK.
Alyson O'DonnellThe Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust, Bournemouth, UK.
Richard RenautThe Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust, Bournemouth, UK.
Tristan RichardsonBournemouth University, Bournemouth, UK.
Stephen AllenThe Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust, Bournemouth, UK and Bournemouth University, Bournemouth, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital mortality rates have frequently been improved by identifying diagnostic groups with high mortality and targeting interventions to those specific groups. We found that high residual inpatient mortality persisted after targeted measures had achieved an initial reduction, and that the causes were spread across a wide range of diagnostic groups. Further interventions were put in place consisting of a structured electronic mortality form and systematised mortality scrutiny and reporting (primary intervention) accompanied by a number of quality improvement interventions arising from the mortality analysis (secondary interventions). We found that those interventions were associated with progressive improvements in mortality rates and average lengths of inpatient stay over the 5-year study period. Winter quarter mortality improvements reached a high level of statistical significance but could not be attributed to changes in any particular diagnostic groups. We conclude that progress with mortality improvements is probably best achieved by applying both code-targeted and general interventions simultaneously.

Indexed as

diagnostic codesHospital mortality ratiosquality improvement

Identifiers

PMID32550282
PMCPMC7296570

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.