Evidence map›Paper›PMID 32462572›Full record

Observational studyJournal of general internal medicine2020

Identifying Performance Outliers for Stroke Care Based on Composite Score of Process Indicators: an Observational Study in China.

Chao Wang, Shaofei Su, Xi Li, Jingkun Li, Xiaoqiang Bao, Meina Liu

Abstract readObservational Study
In one paragraph

Observational study in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Accuracy of site benchmarking in clinical quality registries of varying size.Health information management : journal of the Health Information Management Association of Australia · 2026
    Article
  3. Article
  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

6 authors.

Chao WangDepartment of Biostatistics, Public Health College, Harbin Medical University , Harbin, China.
Shaofei SuCentral Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University , Chaoyang, Beijing, China.
Xi LiDepartment of Biostatistics, Public Health College, Harbin Medical University , Harbin, China.
Jingkun LiDepartment of Biostatistics, Public Health College, Harbin Medical University , Harbin, China.
Xiaoqiang BaoDepartment of Biostatistics, Public Health College, Harbin Medical University , Harbin, China.
Meina LiuDepartment of Biostatistics, Public Health College, Harbin Medical University , Harbin, China. liumeina369@163.com.ORCID 0000-0002-3790-8069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariability in the quality of stroke care is widespread. Identifying performance-based outlier hospitals based on quality indicators (QIs) has become a common practice.

objectivesTo develop a tool for identifying performance-based outlier hospitals based on risk-adjusted adherence rates of process indicators.

designHospitals were classified into five-level outliers based on the observed-to-expected ratio and P value. The composite quality score was derived by summation of the points for each indicator for each hospital, and associations between outlier status and outcomes were determined.

participantsPatients diagnosed with acute ischemic stroke, January 1, 2011-May 31, 2017.

interventionN/A

main outcome measuresIndependence at discharge (the modified Rankin Scale = 0-2). KEY

resultsA total of 501,132 patients from 519 hospitals were identified. From 0.39 to 19.65% of hospitals were identified as high outliers according to various QIs. Composite quality scores ranged from - 20 to 16. Providers that were high outliers based on QI2, QI8, QI9, and QI11 had higher independent rates. For composite quality score, each point increase corresponded to an 8% increase in the odds of independent rate.

conclusionNationwide variation in the quality of acute stroke care exists at the hospital level. Variability in the quality of stroke care can be captured by our proposed quality score. Applying this quality score as a benchmarking tool could provide audit-level feedback to policymakers and hospitals to aid quality improvement.

Indexed as

Brain IschemiaStrokeChinaHumansQuality ImprovementQuality Indicators, Health Carecomposite indicatoroutliersperformance measuresquality of carestroke

Identifiers

PMID32462572
PMCPMC7459034

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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.