Evidence map›Paper›PMID 42702484›Full record

ArticleSpatial and spatio-temporal epidemiology2026

Assessing specification assumptions in urban pharmacy accessibility in New York City.

Steven Lawrence, Keith S Goldfeld, Peter F Craigmile, Saul Blecker, Samrachana Adhikari

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Steven LawrenceNYU Grossman School of Medicine, New York, NY, USA. Electronic address: steven.lawrence@nyulangone.org.
Keith S GoldfeldNYU Grossman School of Medicine, New York, NY, USA.
Peter F CraigmileHunter College, City University of New York, New York, NY, USA.
Saul BleckerNYU Grossman School of Medicine, New York, NY, USA.
Samrachana AdhikariNYU Grossman School of Medicine, New York, NY, USA.

Funding

Generalizable prediction of medication adherence in heart failureR01HL155149 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADHIKARI, SAMRACHANA, BLECKER, SAUL B. · 2021 to 2025
$3.9M
Modeling the impact of age restricted in-person location policies for youth tobacco useR01CA273206 · NCI · OHIO STATE UNIVERSITY · PI Megan Eleanor Roberts · 2023 to 2026
$2.5M
NCI NIH HHS R01 CA273206NHLBI NIH HHS R01 HL155149
6 · The paper itself

Abstract

backgroundAccurate measurement of pharmacy access is central to understanding spatial inequities in healthcare availability. The two-step floating catchment area (2SFCA) method is widely used to integrate proximity and availability, yet key challenges remain unresolved in dense urban settings, including catchment sensitivity, and the lack of uncertainty quantification despite reliance on survey-based population estimates.

objectiveTo assess catchment sensitivity to specification using a mode-adjusted 2SFCA approach while propagating uncertainty from the American Community Survey (ACS).

methodsWe conducted a cross-sectional analysis of pharmacy access across 2222 census tracts in New York City using multiple distance- and time-based catchments. We applied a mode-adjusted 2SFCA method that incorporates walking and driving accessibility by decomposing populations demand using tract-level transportation proportions from the ACS. Uncertainty in access estimates was quantified via hierarchical Monte Carlo simulation propagating the margins of errors from the ACS. We used cross-tabulation to quantify agreement in classifying tracts as having fewer than one pharmacy per 10,000 residents across transportation modes.

resultsRelative pharmacy access patterns were stable across a wide range of catchment specifications, indicating limited sensitivity to reasonable changes in distance or travel-time thresholds in this dense urban setting. The mode-adjusted approach increased median access and introduced additional variability by accounting for transportation differences. Uncertainty in access estimates was generally negligible but may matter where driving and walking catchments do not overlap.

conclusionsThese findings suggest that, in New York City, catchment size and ACS uncertainty have limited impact on access estimates, while transportation differences and border effects play a larger role.

Indexed as

Catchment Area, HealthHealth Services AccessibilityPharmaciesCross-Sectional StudiesHumansNew York CityTransportationUrban Population2SFCAPharmacy accessSpatial accessibilityTransportation modesTwo-step floating catchment areaUncertainty quantification

Identifiers

PMID42702484
PMCPMC13547775

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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.