Evidence map›Paper›PMID 42821263›Full record

ArticleJAMA network open2026

Census Block Group Demographics, Mobility Patterns, and Pharmacy Visits.

Elaine O Nsoesie, Zou Yang, Nina Cesare, Andrew Philips

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

4 authors.

Elaine O NsoesieDepartment of Global Health, School of Public Health, Boston University, Boston, Massachusetts.
Zou YangThayer School of Engineering, Dartmouth College, Hanover, New Hampshire.
Nina CesareCenter for Health Data Science, School of Public Health, Boston University, Boston, Massachusetts.
Andrew PhilipsDepartment of Epidemiology, School of Public Health, Boston University, Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Studies have shown a strong association between pharmacy closures and deserts and neighborhood racial and ethnic demographics. Objective: To examine the association between racial and ethnic demographics and pharmacy availability and visits at the US census block group (CBG) level. Design, Setting, and Participants: This cross-sectional study used mobility data extracted from mobile phones from January 2019 to January 2020 (prepandemic period) and January 2023 to January 2024 (postpandemic period). Race, ethnicity, and socioeconomic data at the CBG level were obtained from the 2019 American Community Survey (ACS) 5-year estimates. Logistic and linear regression models were fitted to study the association between the presence or absence of a pharmacy and pharmacies per 10 000 people and CBG demographics. CBGs were classified as racially and/or ethnically diverse, predominantly racially and/or ethnically minoritized, or predominantly White. Data were analyzed between May 2024 and February 2026. Main Outcomes and Measures: Model-estimated association between pharmacy availability, pharmacies per 10 000 people and CBG demographics, and the proportion of pharmacy visits by racial and ethnic composition of CBGs. Results: This study included 112 655 urban CBGs in 45 US states and Washington, DC, comprising 158 082 463 individuals. The mean of median (SD) age of the overall study population was 39.9 (9.4) years; 77 184 341 individuals (48.7%) were male and 80 898 122 (51.3 %) were female. The racial and ethnic composition according to the ACS was 2 131 706 (1.3%) American Indian or Alaska Native, 567 179 (0.4%) Hispanic, 7 721 195 (4.9%) non-Hispanic Asian, 23 977 801 (15.2%) non-Hispanic Black, 554 833 (0.4%) non-Hispanic Native Hawaiian or Other Pacific Islander, and 95 761 561 (60.6%) non-Hispanic White. CBGs with predominantly racially and/or ethnically minoritized and racially and/or ethnically diverse populations had lower odds of having at least 1 pharmacy compared with predominantly White CBGs in both prepandemic (odds ratio [OR], 0.44; 95% CI, 0.41-0.47) and postpandemic (OR, 0.84; 95% CI, 0.81-0.88) periods. Predominantly White CBGs had 15% (coefficient, 0.85; 95% CI, 0.82-0.88) more pharmacies per 10 000 people than CBGs with predominantly minoritized populations in the prepandemic and postpandemic periods. Mobile devices from predominantly White CBGs mostly visited pharmacies in CBGs with similar demographics, whereas mobile devices from other CBGs visited pharmacies in racially and/or ethnically diverse CBGs. Conclusions and Relevance: In this cross-sectional study, mobile devices from CBGs with fewer pharmacies were more likely to visit pharmacies in CBGs with racially and/or ethnically diverse populations. As pharmacy closures and deserts continue to occur disproportionately in communities with predominantly Black and Latinx populations, measuring correlations with health and developing policy solutions that enable access to medicines and other health care resources are important.

Indexed as

EthnicityNeighborhood CharacteristicsPharmaciesAmerican Indian or Alaska NativeAsianBlack or African AmericanCensusesCross-Sectional StudiesDemographyFemaleHispanic or LatinoHumansMaleNative Hawaiian or Pacific IslanderRacial GroupsUnited States

Identifiers

PMID42821263
PMCPMC13631768

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