Evidence map›Paper›PMID 36919402›Full record

ArticleThe Milbank quarterly2023

A Conceptual Framework for Optimizing the Equity of Hospital-Based Emergency Care: The Structure of Hospital Transfer Networks.

Charleen Hsuan, Brendan G Carr, David Vanness, Yinan Wang, Douglas L Leslie, Eleanor Dunham, Jeannette A Rogowski

Abstract read
In one paragraph

Article in The Milbank quarterly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Alternative Approaches to Characterizing Disparate Care by Race, Ethnicity, and Insurance Between Hospitals.International journal of environmental research and public health · 2025
    Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. 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

7 authors.

Charleen HsuanPenn State University.ORCID 0000-0001-8720-2323
Brendan G CarrIcahn School of Medicine, Mount Sinai.
David VannessPenn State University.ORCID 0000-0002-9790-2988
Yinan WangPenn State University.
Douglas L LeslieCollege of Medicine, Penn State University.ORCID 0000-0001-6145-4610
Eleanor DunhamCollege of Medicine, Penn State University.
Jeannette A RogowskiPenn State University.ORCID 0000-0002-1078-8749

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
A POPULATION BASED APPROACH TO IMPROVE OUTCOMES AFTER OUT-OF-HOSPITAL CARDIAC ARRESTR01HL141841 · NHLBI · THOMAS JEFFERSON UNIVERSITY · PI CARR, BRENDAN G · 2018 to 2022
$3.8M
Structural Racism and Discrimination in Emergency Department Transfers: Unintended Consequences of the Emergency Medical Treatment and Labor Act (EMTALA)R01MD017495 · NIMHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHARLEEN HSUAN · 2022 to 2026
$3.3M
NCATS NIH HHS UL1 TR002014NHLBI NIH HHS R01 HL141841NIMHD NIH HHS R01 MD017495
6 · The paper itself

Abstract

Policy Points Current pay-for-performance and other payment policies ignore hospital transfers for emergency conditions, which may exacerbate disparities. No conceptual framework currently exists that offers a patient-centered, population-based perspective for the structure of hospital transfer networks. The hospital transfer network equity-quality framework highlights the external and internal factors that determine the structure of hospital transfer networks, including structural inequity and racism. CONTEXT: Emergency care includes two key components: initial stabilization and transfer to a higher level of care. Significant work has focused on ensuring that local facilities can stabilize patients. However, less is understood about transfers for definitive care. To better understand how transfer network structure impacts population health and equity in emergency care, we proposea conceptual framework, the hospital transfer network equity-quality model (NET-EQUITY). NET-EQUITY can help optimize population outcomes, decrease disparities, and enhance planning by supporting a framework for understanding emergency department transfers.

methodsTo develop the NET-EQUITY framework, we synthesized work on health systems and quality of health care (Donabedian, the Institute of Medicine, Ferlie, and Shortell) and the research framework of the National Institute on Minority Health and Health Disparities with legal and empirical research.

findingsThe central thesis of our framework is that the structure of hospital transfer networks influences patient outcomes, as defined by the Institute of Medicine, which includes equity. The structure of hospital transfer networks is shaped by internal and external factors. The four main external factors are the regulatory, economic environment, provider, and sociocultural and physical/built environment. These environments all implicate issues of equity that are important to understand to foster an equitable population-based system of emergency care. The framework highlights external and internal factors that determine the structure of hospital transfer networks, including structural racism and inequity.

conclusionsThe NET-EQUITY framework provides a patient-centered, equity-focused framework for understanding the health of populations and how the structure of hospital transfer networks can influence the quality of care that patients receive.

Indexed as

Population HealthReimbursement, IncentiveDelivery of Health CareEmergency Service, HospitalHospitalsHumanshealth policyHospital emergency servicepatient-centered carepatient transfersocial determinants of healthsocial inequitystructural racism

Identifiers

PMID36919402
PMCPMC10037699

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.