ArticleHumanities & social sciences communications2026
Beyond "care deserts": a new metric for mapping formal care employment equity in the United States.
Article in Humanities & social sciences communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The formal care economy, including paid labor in health care, education, and daily living support, is essential to individual well-being and national productivity. Yet access to these services remains geographically unequal across the United States. Existing approaches commonly measure either within-area inequality (e.g., Gini coefficient) or regional specialization/adequacy (e.g., location quotient (LQ)), but rarely integrate both dimensions in a way that supports consistent classification and comparison across places, sectors, and time. Here, we develop the Care Resource Equity Score (CaRES), which integrates the Gini coefficient and the Location Quotient to quantify the joint distribution of care employment across internal regions and its regional concentration. Using U.S. census tract data aggregated to all counties from 2009-2021, we classify counties into four care-employment typologies using common thresholds: low inequality (Gini < 0.5) vs. high inequality (Gini > 0.5), and below-average concentration (LQ < 1.0) vs. above-average concentration (LQ > 1.0, relative to the national average). The resulting categories are Equitable Coverage (low Gini, high LQ), Concentrated Access (high Gini, high LQ), Even Desert (low Gini, low LQ), and Unequal Scarcity (high Gini, low LQ). Applying CaRES across health care, education, and daily living sectors, we found that most counties fall into either Unequal Scarcity or Concentrated Access, indicating that care employment is typically either under-supplied and unevenly distributed or abundant but spatially concentrated. Nonmetropolitan counties, especially small-town and rural areas, disproportionately exhibit Even Deserts, whereas metropolitan areas more often exhibit Concentrated Access, reflecting localized inaccessibility despite overall resource abundance. Over time, average within-county inequality declines, but this trend is often accompanied by a decline in relative care-employment concentration, suggesting that more even spatial distribution can coincide with growing scarcity. The resulting typology provides an interpretable, scalable tool for identifying distinct types of care-access challenges and for targeting policy responses that differ between places facing scarcity and those facing concentration.
Indexed as
Identifiers
What OpenQuestion holds
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.