Evidence map›Paper›PMID 30646112›Full record

ArticleJAMA network open2018

Estimates and Temporal Trend for US Nationwide 30-Day Hospital Readmission Among Patients With Ischemic and Hemorrhagic Stroke.

Arvind B Bambhroliya, John P Donnelly, Eric J Thomas, Jon E Tyson, Charles C Miller, Louise D McCullough, Sean I Savitz, Farhaan S Vahidy

Abstract read
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Acute stroke care coordination in the United States: Variation in state laws for Emergency Medical Services and hospitals.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
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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

8 authors.

Arvind B BambhroliyaDepartment of Neurology, The Institute for Stroke and Cerebrovascular Diseases, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).
John P DonnellyDepartment of Epidemiology, University of Alabama School of Public Health, Birmingham.
Eric J ThomasDepartment of Internal Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).
Jon E TysonCenter for Clinical Research & Evidence-Based Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).
Charles C MillerCenter for Clinical Research & Evidence-Based Medicine, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).
Louise D McCulloughDepartment of Neurology, The Institute for Stroke and Cerebrovascular Diseases, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).
Sean I SavitzDepartment of Neurology, The Institute for Stroke and Cerebrovascular Diseases, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).
Farhaan S VahidyDepartment of Neurology, The Institute for Stroke and Cerebrovascular Diseases, McGovern Medical School at The University of Texas Health Science Center at Houston (UTHealth).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Readmission reduction is linked to improved quality of care, saves cost, and is a desirable patient-centered outcome. Nationally representative readmission metrics for patients with stroke are unavailable to date. Such estimates are necessary for benchmarking performance. Objectives: To provide US nationwide estimates and a temporal trend for overall, planned, and potentially preventable 30-day hospital readmission among patients with ischemic and hemorrhagic stroke; to investigate the association between hospitals' stroke discharge volume, teaching status, and 30-day readmission; and to highlight reasons for 30-day readmission and explore the association of 30-day readmission in terms of mortality, length of stay, and cost of care among patients with stroke. Design, Setting, and Participants: Cohort, year-wise analysis of the Nationwide Readmissions Database between January 1, 2010, and September 30, 2015. The setting was a population-based cohort study providing national estimates of 30-day readmission. The database represents 50% of all US hospitalizations from 22 geographically dispersed states. Participants were adult (≥18 years) patients with a primary discharge diagnosis of intracerebral hemorrhage, acute ischemic stroke, or subarachnoid hemorrhage. Hospitals were categorized by their annual stroke discharge volume and were classified as teaching hospitals if they had an American Medical Association-approved residency program or had a ratio of full-time equivalent interns and residents to beds of 0.25 or higher. Main Outcomes and Measures: Readmission was defined as any admission within 30 days of index hospitalization discharge. Using Centers for Medicare & Medicaid Services-defined algorithms, events were classified as planned or unplanned and as potentially preventable. Results: Based on study criteria, 2 078 854 eligible patients were included (mean [SE] age, 70.02 [0.07] years; 51.9% female). Thirty-day readmission was highest for patients with intracerebral hemorrhage (13.70%; 95% CI, 13.40%-13.99%), followed by patients with acute ischemic stroke (12.44%; 95% CI, 12.33%-12.55%) and patients with subarachnoid hemorrhage (11.48%; 95% CI, 11.01%-11.96%). On average, there was a 3.3% annual decline in readmission between 2010 and 2014, which was statistically significant for the period of investigation (odds ratio, 0.96; 95% CI, 0.95-0.97). Patients discharged from nonteaching hospitals with high stroke discharge volume were at a significantly higher risk of 30-day readmission, and the top 2 reasons for readmission were acute cerebrovascular disease and septicemia. Conclusions and Relevance: This study suggests that nationally representative readmission metrics can be used to benchmark hospitals' performance, and a temporal trend of 3.3% may be used to evaluate the effectiveness of readmission reduction strategies.

Indexed as

AgedBrain IschemiaCohort StudiesFemaleHumansIntracranial HemorrhagesMalePatient ReadmissionStrokeTime FactorsUnited States

Identifiers

PMID30646112
PMCPMC6324273

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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.