Evidence map›Paper›PMID 34493261›Full record

Observational studyBMC health services research2021

The impact of payer status on hospital admissions: evidence from an academic medical center.

Yanying Zhao, Ioannis Ch Paschalidis, Jianqiang Hu

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Analysis of hospitalization costs in adult inguinal hernia: based on quantile regression model.Hernia : the journal of hernias and abdominal wall surgery · 2024
    Article
  3. Article
  4. Article
  5. 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

3 authors.

Yanying ZhaoSchool of Management, Fudan University, 670 Guoshun Road, Yangpu District, Shanghai, 200433, China. zhaoyanying.happy@outlook.com.
Ioannis Ch PaschalidisDepartments of Electrical & Computer Engineering, Systems Engineering, and Biomedical Engineering, Boston University, 8 St Marys Street, Boston, Massachusetts, 02215, USA.
Jianqiang HuSchool of Management, Fudan University, 670 Guoshun Road, Yangpu District, Shanghai, 200433, China.

Funding

Optimizing and Learning Strategies for Protein Docking R01GM135930 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAKILI, PIROOZ · 2019 to 2021
$561k
National Natural Science Foundation of China 71720107003National Natural Science Foundation of China 72033003National Science Foundation CNS-1645681National Science Foundation DMS-1664644National Science Foundation IIS-1914792NIGMS NIH HHS R01 GM135930NIH HHS R01-GM135930Office of Naval Research N00014-19-1-2571
6 · The paper itself

Abstract

backgroundThere are plenty of studies investigating the disparity of payer status in accessing to care. However, most studies are either disease-specific or cohort-specific. Quantifying the disparity from the level of facility through a large controlled study are rare. This study aims to examine how the payer status affects patient hospitalization from the perspective of a facility.

methodsWe extracted all patients with visiting record in a medical center between 5/1/2009-4/30/2014, and then linked the outpatient and inpatient records three year before target admission time to patients. We conduct a retrospective observational study using a conditional logistic regression methodology. To control the illness of patients with different diseases in training the model, we construct a three-dimension variable with data stratification technology. The model is validated on a dataset distinct from the one used for training.

resultsPatients covered by private insurance or uninsured are less likely to be hospitalized than patients insured by government. For uninsured patients, inequity in access to hospitalization is observed. The value of standardized coefficients indicates that government-sponsored insurance has the greatest impact on improving patients' hospitalization.

conclusionAttention is needed on improving the access to care for uninsured patients. Also, basic preventive care services should be enhanced, especially for people insured by government. The findings can serve as a baseline from which to measure the anticipated effect of measures to reduce disparity of payer status in hospitalization.

Indexed as

Insurance, HealthMedically UninsuredAcademic Medical CentersHospitalizationHospitalsHumansUnited StatesHospitalizationLow-incomePayer statusUninsured

Identifiers

PMID34493261
PMCPMC8425077

What OpenQuestion holds

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LicenceCC BY
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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.