Evidence map›Paper›PMID 27608816›Full record

ArticleStroke2016

Ethnic Comparison of 30-Day Potentially Preventable Readmissions After Stroke in Hawaii.

Kazuma Nakagawa, Hyeong Jun Ahn, Deborah A Taira, Jill Miyamura, Tetine L Sentell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stroke, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
  2. Pooled it
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  10. Insights in Public Health: Challenges Investigating Health Outcomes in Chinese Americans Using Population-Based Survey Data.Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2017
    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.

Kazuma NakagawaFrom the Neuroscience Institute, The Queen's Medical Center, Honolulu, HI (K.N.); Department of Medicine, John A. Burns School of Medicine (K.N.), Office of Biostatistics and Quantitative Health Sciences, John A. Burns School of Medicine (H.J.A.), Office of Public Health Studies (T.L.S.), University of Hawaii, Honolulu; Daniel K. Inouye College of Pharmacy, University of Hawaii, Hilo (D.A.T.); and Hawaii Health Information Corporation, Honolulu (J.M.). kazuma.nakagawa@hawaii.edu.
Hyeong Jun AhnFrom the Neuroscience Institute, The Queen's Medical Center, Honolulu, HI (K.N.); Department of Medicine, John A. Burns School of Medicine (K.N.), Office of Biostatistics and Quantitative Health Sciences, John A. Burns School of Medicine (H.J.A.), Office of Public Health Studies (T.L.S.), University of Hawaii, Honolulu; Daniel K. Inouye College of Pharmacy, University of Hawaii, Hilo (D.A.T.); and Hawaii Health Information Corporation, Honolulu (J.M.).
Deborah A TairaFrom the Neuroscience Institute, The Queen's Medical Center, Honolulu, HI (K.N.); Department of Medicine, John A. Burns School of Medicine (K.N.), Office of Biostatistics and Quantitative Health Sciences, John A. Burns School of Medicine (H.J.A.), Office of Public Health Studies (T.L.S.), University of Hawaii, Honolulu; Daniel K. Inouye College of Pharmacy, University of Hawaii, Hilo (D.A.T.); and Hawaii Health Information Corporation, Honolulu (J.M.).
Jill MiyamuraFrom the Neuroscience Institute, The Queen's Medical Center, Honolulu, HI (K.N.); Department of Medicine, John A. Burns School of Medicine (K.N.), Office of Biostatistics and Quantitative Health Sciences, John A. Burns School of Medicine (H.J.A.), Office of Public Health Studies (T.L.S.), University of Hawaii, Honolulu; Daniel K. Inouye College of Pharmacy, University of Hawaii, Hilo (D.A.T.); and Hawaii Health Information Corporation, Honolulu (J.M.).
Tetine L SentellFrom the Neuroscience Institute, The Queen's Medical Center, Honolulu, HI (K.N.); Department of Medicine, John A. Burns School of Medicine (K.N.), Office of Biostatistics and Quantitative Health Sciences, John A. Burns School of Medicine (H.J.A.), Office of Public Health Studies (T.L.S.), University of Hawaii, Honolulu; Daniel K. Inouye College of Pharmacy, University of Hawaii, Hilo (D.A.T.); and Hawaii Health Information Corporation, Honolulu (J.M.).

Funding

RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI HEDGES, JERRIS ROBERT, MOKUAU, NOREEN · 2012 to 2018
$21.1M
UNDERSTANDING AND REDUCING ETHNIC DISPARITIES IN PREVENTABLE HOSPITALIZATIONSP20MD000173 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MAU, MARJORIE K. LEIMOMI MALA · 2002 to 2017
$21.0M
RESEARCH DESIGN, BIOSTATISTICS AND RESEARCH ETHICS COREG12MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2012 to 2016
$13.0M
Enhancing Hawaii Hospital Information ContentR01HS019990 · AHRQ · QUEEN'S MEDICAL CENTER · PI SETO, TODD B · 2010 to 2010
$1.3M
AHRQ HHS R01 HS019990NIMHD NIH HHS G12 MD007601NIMHD NIH HHS P20 MD000173NIMHD NIH HHS U54 MD007584
6 · The paper itself

Abstract

background and purposeEthnic disparities in readmission after stroke have been inadequately studied. We sought to compare potentially preventable readmissions (PPR) among a multiethnic population in Hawaii.

methodsHospitalization data in Hawaii from 2007 to 2012 were assessed to compare ethnic differences in 30-day PPR after stroke-related hospitalizations. Multivariable models using logistic regression were performed to assess the impact of ethnicity on 30-day PPR after controlling for age group (<65 and ≥65 years), sex, insurance, county of residence, substance use, history of mental illness, and Charlson Comorbidity Index.

resultsThirty-day PPR was seen in 840 (8.4%) of 10 050 any stroke-related hospitalizations, 712 (8.7%) of 8161 ischemic stroke hospitalizations, and 128 (6.8%) of 1889 hemorrhagic stroke hospitalizations. In the multivariable models, only the Chinese ethnicity, compared with whites, was associated with 30-day PPR after any stroke hospitalizations (odds ratio [OR] [95% confidence interval {CI}], 1.40 [1.05-1.88]) and ischemic stroke hospitalizations (OR, 1.42 [CI, 1.04-1.96]). When considering only one hospitalization per individual, the impact of Chinese ethnicity on PPR after any stroke hospitalization (OR, 1.22 [CI, 0.89-1.68]) and ischemic stroke hospitalization (OR, 1.21 [CI, 0.86-1.71]) was attenuated. Other factors associated with 30-day PPR after any stroke hospitalizations were Charlson Comorbidity Index (per unit increase) (OR, 1.21 [CI, 1.18-1.24]), Medicaid (OR, 1.42 [CI, 1.07-1.88]), Hawaii county (OR, 0.78 [CI, 0.62-0.97]), and mental illness (OR, 1.37 [CI, 1.10-1.70]).

conclusionsIn Hawaii, Chinese may have a higher risk of 30-day PPR after stroke compared with whites. However, this seems to be driven by the high number of repeated PPR within the Chinese ethnic group.

Indexed as

Patient ReadmissionAgedAge FactorsBrain IschemiaEthnicityFemaleHawaiiHumansMaleMiddle AgedRetrospective StudiesRisk FactorsStrokeattentionhospitalizationminority healthpatient readmissionstroke

Identifiers

PMID27608816
PMCPMC5039090

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Registered trials

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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.