Evidence map›Paper›PMID 23584363›Full record

ArticleInternational journal for quality in health care : journal of the International Society for Quality in Health Care2013

Meeting the ambition of measuring the quality of hospitals' stroke care using routinely collected administrative data: a feasibility study.

William L Palmer, Alex Bottle, Charlie Davie, Charles A Vincent, Paul Aylin

Open access · bronzeAbstract read
In one paragraph

Article in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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 3 institutions in 1 country.

William L PalmerDr Foster Unit, Department of Primary Care and Social Medicine, Imperial College London, London, UK. w.palmer07@imperial.ac.uk
Alex Bottle
Charlie Davie
Charles A Vincent
Paul Aylin
Imperial College London · GBAcademic Health Science Partnership · GBNational Audit Office · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the potential for using routinely collected administrative data to compare the quality and safety of stroke care at a hospital level, including evaluating any bias due to variations in coding practice.

designA retrospective cohort study of English hospitals' performance against six process and outcome indicators covering the acute care pathway. We used logistic regression to adjust the outcome measures for case mix.

settingHospitals in England.

participantsStroke patients (ICD-10 I60-I64) admitted to English National Health Service public acute hospitals between April 2009 and March 2010, accounting for 91 936 admissions.

main outcome measureThe quality and safety were measured using six indicators spanning the hospital care pathway, from timely access to brain scans to emergency readmissions following discharge after stroke.

resultsThere were 182 occurrences of hospitals performing statistically differently from the national average at the 99.8% significance level across the six indicators. Differences in coding practice appeared to only partially explain the variation.

conclusionsHospital administrative data provide a practical and achievable method for evaluating aspects of stroke care across the acute pathway. However, without improvements in coding and further validation, it is unclear whether the cause of the variation is the quality of care or the result of different local care pathways and data coding accuracy.

Indexed as

EnglandHospital AdministrationHospitals, PublicHumansOutcome Assessment, Health CarePatient SafetyQuality Indicators, Health CareQuality of Health CareRetrospective StudiesState MedicineStrokemeasurement of qualitypatient safetyquality indicatorssafety indicators

Identifiers

PMID23584363
PMCPMC3723302
OpenAlexW2107166935

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.