Dataset Information

ZIP Code-Level Estimates from a Local Health Survey: Added Value and Limitations.

ABSTRACT: We assessed the added value and limitations of generating directly estimated ZIP Code-level estimates by aggregating 5 years of data from an annual cross-sectional survey, the New York City Community Health Survey (n = 44,886) from 2009 to 2013, that were designed to provide reliable estimates only of larger geographies. Survey weights generated directly-observed ZIP Code (n = 128) level estimates. We assessed the heterogeneity of ZIP Code-level estimates within coarser United Hospital Fund (UHF) neighborhood areas (n = 34) by using the Rao-Scott Chi-Square test and one-way ANOVA. Orthogonal linear contrasts assessed whether there were linear trends at the UHF level from 2009 to 2013. 22 of 37 health indicators were reliable in over 50% of ZIP Codes. 14 of the 22 variables showed heterogeneity in ≥4 UHFs. Variables for drinking, nutrition, and HIV testing showed heterogeneity in the most UHFs (9-24 UHFs). In half of the 32 UHFs, >20% variables had within-UHF heterogeneity. Flu vaccination and sugary beverage consumption showed significant time trends in the largest number of UHFs (12 or more UHFs). Overall, heterogeneity of ZIP Code-level estimates suggests that there is value in aggregating 5 years of data to make direct small area estimates.

SUBMITTER: Bi Q

PROVIDER: S-EPMC7392987 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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ZIP Code-Level Estimates from a Local Health Survey: Added Value and Limitations.

Bi Qifang Q He Fangtao F Konty Kevin K Gould L Hannah LH Immerwahr Stephen S Levanon Seligson Amber A

Journal of urban health : bulletin of the New York Academy of Medicine 20200801 4

We assessed the added value and limitations of generating directly estimated ZIP Code-level estimates by aggregating 5 years of data from an annual cross-sectional survey, the New York City Community Health Survey (n = 44,886) from 2009 to 2013, that were designed to provide reliable estimates only of larger geographies. Survey weights generated directly-observed ZIP Code (n = 128) level estimates. We assessed the heterogeneity of ZIP Code-level estimates within coarser United Hospital Fund (UHF ...[more]

PMID: 32297139

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Dataset Information

ZIP Code-Level Estimates from a Local Health Survey: Added Value and Limitations.

Publications

ZIP Code-Level Estimates from a Local Health Survey: Added Value and Limitations.

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