Evidence map›Paper›PMID 42868933›Full record

ArticleJournal of the American Medical Directors Association2026

Characteristics and Geographic Variability of US-Assisted Living Communities Affiliated With Top-10 Chains.

Cassandra L Hua, Leya J Kurzhiparambil, Gauri Gadkari, Lindsey Smith, John R Bowblis, Momotazur Rahman, Kali S Thomas

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Cassandra L HuaDepartment of Public Health, University of Massachusetts Lowell, Lowell, MA, USA. Electronic address: Cassandra_hua@uml.edu.
Leya J KurzhiparambilDepartment of Public Health, University of Massachusetts Lowell, Lowell, MA, USA.
Gauri GadkariSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA.
Lindsey SmithOregon Health and Science University, Portland, OR, USA.
John R BowblisFarmer School of Business, Miami University, OH, USA.
Momotazur RahmanDepartment of Health Services, Policy and Practice, Brown University School of Public Health, Providence, RI, USA.
Kali S ThomasSchool of Nursing, Johns Hopkins University, Baltimore, MD, USA.

Funding

Private Equity Expansion in Assisted Living: Implications for Dementia CareR01AG079868 · NIA · JOHNS HOPKINS UNIVERSITY · PI Md Momotazur Rahman, Kali St. Marie Thomas · 2023 to 2026
$2.9M
NIA NIH HHS R01 AG079868
6 · The paper itself

Abstract

objectivesTo examine the geographic distribution and organizational characteristics of assisted living (AL) communities affiliated with the 10 largest chains (top-10 chains).

designCross-sectional analysis of secondary data. SETTING AND

participantsA total of 14,735 AL communities operating in 2023 with ≥25 beds across the United States (excluding Alaska, Hawaii, Connecticut, and Washington DC). Data were drawn from a national directory of AL communities, the American Community Survey, the University of Wisconsin and United States Department of Agriculture sources, and Medicare enrollment records.

methodsState-level maps depicted the percentage of AL beds affiliated with top-10 chains. Rates of top-10 chain-affiliated AL beds per 100,000 adults aged ≥65 years were compared with other ≥25-bed AL communities using stacked bar charts. Organizational and market characteristics between top-10 chain-affiliated and other ≥25-bed AL communities were compared using t tests and χ

resultsOf the 14,735 investment-grade AL communities identified nationally, 14.8% were affiliated with top-10 chains, representing 16.8% of AL beds. The share of top-10 chain-affiliated beds ranged from 2% in North Dakota to 33% in Delaware. Compared with ≥25-bed AL communities, top-10 chain-affiliated communities were more often located in socioeconomically advantaged areas (Area Deprivation Index: 45.3 vs 51.4, P < .001) and urban settings (84.7% vs 72.2%, P < .001). They served a lower proportion of dually eligible Medicare-Medicaid beneficiaries (13.7% vs 28.4%, P < .001) and a higher proportion of residents aged ≥85 years (62.2% vs 55.5%, P < .001). CONCLUSIONS AND IMPLICATIONS: Top-10 chains appear likely to be located in densely populated, socioeconomically advantaged areas and to serve older, wealthier resident populations than other ≥25-bed AL communities, although exceptions exist. Future research should examine how regulatory and market factors shape these patterns.

Indexed as

Corporate affiliationlong-term careoperationsownershipresidential care

Identifiers

PMID42868933
PMCPMC13665579

What OpenQuestion holds

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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.