Evidence map›Paper›PMID 29073218›Full record

ArticlePloS one2017

Secondary analysis of hospital patient experience scores across England's National Health Service - How much has improved since 2005?

Kate Honeyford, Felix Greaves, Paul Aylin, Alex Bottle

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. 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

4 authors.

Kate HoneyfordDr Foster Unit at Imperial College, London, England.ORCID http://orcid.org/0000-0002-5533-7693
Felix GreavesDepartment of Primary Care and Public Health, Imperial College, London, England.
Paul AylinDr Foster Unit at Imperial College, London, England.
Alex BottleDr Foster Unit at Imperial College, London, England.

Funding

Department of Health 14/19/50
6 · The paper itself

Abstract

objectiveTo examine trends in patient experience and consistency between hospital trusts and settings.

methodsObservational study of publicly available patient experience surveys of three hospital settings (inpatients (IP), accident and emergency (A&E) and outpatients (OP)) of 130 acute NHS hospital trusts in England between 2004/05 and 2014/15.

resultsOverall patient experience has been good, showing modest improvements over time across the three hospital settings. Individual questions with the biggest improvement across all three settings are cleanliness (IP: +7.1, A&E: +6.5, OP: +4.7) and information about danger signals (IP: +3.8, A&E: +3.9, OP: +4.0). Trust performance has been consistent over time: 71.5% of trusts ranked in the same cluster for more than five years. There is some consistency across settings, especially between outpatients and inpatients. The lowest-scoring questions, regarding information at discharge, are the same in all years and all settings.

conclusionsThe greatest improvement across all three settings has been for cleanliness, which has seen national policies and targets. Information about danger signals and medication side-effects showed least consistency across settings and scores have remained low over time, despite information about danger signals showing a big increase in score. Patient experience of aspects of access and waiting have declined, as has experience of discharge delay, likely reflecting known increases in pressure on England's NHS.

Indexed as

EnglandHospitalsHumansNational Health ProgramsPatient SatisfactionTrust

Identifiers

PMID29073218
PMCPMC5658118

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.