ArticleInternational journal for equity in health2022
Title: advancing urban health equity in the United States in an age of health care gentrification: a framework and research agenda.
Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
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.
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.
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Who cites it
6 citing papers in PubMed.
- "Kinlessness", friend and family support, and cognitive function by region and urbanicity in the United States.Health & place · 2026Article
- Uncovering the state of knowledge about healthcare gentrification: a scoping review protocol.BMJ open · 2024Article
- Association of neighborhood gentrification with prostate cancer and immune markers in African American and European American men.Cancer medicine · 2024Article
- Improving health equity through health care systems research.Health services research · 2023Article
- Disability outcomes in early-stage African American and White people with multiple sclerosis.Multiple sclerosis and related disorders · 2023Article
- Correction: Advancing urban health equity in the United States in an age of health care gentrification: a framework and research agenda.International journal for equity in health · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccess to health care has traditionally been conceptualized as a function of patient socio-demographic characteristics (i.e., age, race/ethnicity, education, health insurance status, etc.) and/or the system itself (i.e., payment structures, facility locations, etc.). However, these frameworks typically do not take into account the broader, dynamic context in which individuals live and in which health care systems function. PURPOSE: The growth in market-driven health care in the U.S. alongside policies aimed at improving health care delivery and quality have spurred health system mergers and consolidations, a shift toward outpatient care, an increase in for-profit care, and the closure of less profitable facilities. These shifts in the type, location and delivery of health care services may provide increased access for some urban residents while excluding others, a phenomenon we term "health care gentrification." In this commentary, we frame access to health care in the United States in the context of neighborhood gentrification and a concurrent process of changes to the health care system itself.
conclusionsWe describe the concept of health care gentrification, and the complex ways in which both neighborhood gentrification and health care gentrification may lead to inequitable access to health care. We then present a framework for understanding health care gentrification as a function of dynamic and multi-level systems, and propose ways to build on existing models of health care access and social determinants of health to more effectively measure and address this phenomenon. Finally, we describe potential strategies applied researchers might investigate that could prevent or remediate the effects of health care gentrification in the United States.
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Registered trials
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.