Evidence map›Paper›PMID 28378322›Full record

ArticleHealth services research2018

Disparities in Potentially Preventable Hospitalizations: Near-National Estimates for Hispanics.

Chen Feng, Michael K Paasche-Orlow, Nancy R Kressin, Jennifer E Rosen, Lenny López, Eun Ji Kim, Meng-Yun Lin, Amresh D Hanchate

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  6. Diabetes Control During Massachusetts Insurance Reform.Journal of racial and ethnic health disparities · 2022
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  11. Relationships Between Race/Ethnicity and Health Care Utilization Among Older Post-Acute Home Health Care Patients.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2020
    Article
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  18. Medicaid Expansion and Racial/Ethnic Differences in Readmission After Acute Ischemic Stroke.Inquiry : a journal of medical care organization, provision and financing
    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

8 authors at 5 institutions in 1 country.

Chen FengSection of General Internal Medicine, Boston Medical Center, Boston, MA.
Michael K Paasche-OrlowSection of General Internal Medicine, Boston University School of Medicine, Boston, MA.
Nancy R KressinSection of General Internal Medicine, Boston University School of Medicine, Boston, MA.
Jennifer E RosenMedStar Washington Hospital Center, Washington, DC.
Lenny LópezDepartment of Medicine, University of California-San Francisco, San Francisco, CA.
Eun Ji KimSection of General Internal Medicine, Boston University School of Medicine, Boston, MA.
Meng-Yun LinSection of General Internal Medicine, Boston Medical Center, Boston, MA.
Amresh D HanchateSection of General Internal Medicine, Boston University School of Medicine, Boston, MA.
Boston University · USBoston Medical Center · USMedStar Washington Hospital Center · USUniversity of California, San Francisco · USVA Boston Healthcare System · US

Funding

Center for Health Insurance Reform, Cardiovascular Outcomes, and DisparitiesU01HL105342 · NHLBI · BOSTON MEDICAL CENTER · PI KRESSIN, NANCY R. · 2010 to 2014
$5.6M
National Estimates for Inpatient Care, Outcomes & Hospital Effect among HispanicsR01MD007705 · NIMHD · BOSTON MEDICAL CENTER · PI HANCHATE, AMRESH D · 2013 to 2017
$2.2M
Association of Acculturation with Type 2 Diabetes Risk Among US LatinosK23DK098280 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LOPEZ, LENNY · 2013 to 2016
$737k
NHLBI NIH HHS U01 HL105342NIDDK NIH HHS K23 DK098280NIMHD NIH HHS R01 MD007705
6 · The paper itself

Abstract

objectiveTo obtain near-national rates of potentially preventable hospitalization (PPH)-a marker of barriers to outpatient care access-for Hispanics; to examine their differences from other race-ethnic groups and by Hispanic national origin; and to identify key mediating factors. DATA SOURCES/STUDY

settingData from all-payer inpatient discharge databases for 15 states accounting for 85 percent of Hispanics nationally. STUDY

designCombining counts of inpatient discharges with census population for adults aged 18 and older, we estimated age-sex-adjusted PPH rates. We examined county-level variation in race-ethnic disparities in these rates to identify the mediating role of area-level indicators of chronic condition prevalence, socioeconomic status (SES), health care access, acculturation, and provider availability. PRINCIPAL

findingsAge-sex-adjusted PPH rates were 13 percent higher among Hispanics (1,375 per 100,000 adults) and 111 percent higher among blacks (2,578) compared to whites (1,221). Among Hispanics, these rates were relatively higher in areas with predominantly Puerto Rican and Cuban Americans than in areas with Hispanics of other nationalities. Small area variation in chronic condition prevalence and SES fully accounted for the higher rates among Hispanics, but only partially among blacks.

conclusionsHispanics and blacks face higher barriers to outpatient care access; the higher barriers among Hispanics (but not blacks) seem mediated by SES, lack of insurance, cost barriers, and limited provider availability.

Indexed as

AcculturationAcute DiseaseBlack or African AmericanChronic DiseaseEthnicityHealthcare DisparitiesHealth Services AccessibilityHealth Services ResearchHispanic or LatinoHospitalizationHumansInsurance Claim ReviewSocioeconomic FactorsUnited StatesWhite Peopleambulatory care sensitive condition admissionsdisparitiesHispanicspotentially preventable hospitalizations

Identifiers

PMID28378322
PMCPMC5980361
OpenAlexW2605151532

What OpenQuestion holds

Textmetadata
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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.