Additional file 1 of A spatiotemporal analysis of opioid prescriptions in Indiana from 2015 to 2019

Supplementary Material Table S1. Prescription Opioids extracted from the National Drug Code Directory, US Food & Drug Administration. Supplementary Material Table S2.Negative binomial regression results.Supplementary Material Table S3.Global Moran’s I and its respective p-value each year. Global Moran’s I and its respective p-value each year. Supplementary Material Table S4.Counties assigned to each 3-digit ZIP codes and their RUCA classification. Supplementary Material Table S5.Local Moran’s I for the most significant areas by year. Supplementary Material Table S6.The rate of opioid prescriptions by 1,000 for each 3-digit ZIP code across years. Supplementary Material Figure S7.Spatial clusters with normalized patients receiving an opioid prescription at the county-level, Indiana, 2015–2019. Supplementary Material Table S8.OLS regression results for opioid prescribing rates over time.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29874636
Primary Topic
Pasture and Agricultural Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Additional file 1 of A spatiotemporal analysis of opioid prescriptions in Indiana from 2015 to 2019

Figshare
Pasture and Agricultural Systems
article

Additional file 1 of A spatiotemporal analysis of opioid prescriptions in Indiana from 2015 to 2019

article en

Abstract

Supplementary Material Table S1. Prescription Opioids extracted from the National Drug Code Directory, US Food & Drug Administration. Supplementary Material Table S2.Negative binomial regression results.Supplementary Material Table S3.Global Moran’s I and its respective p-value each year. Global Moran’s I and its respective p-value each year. Supplementary Material Table S4.Counties assigned to each 3-digit ZIP codes and their RUCA classification. Supplementary Material Table S5.Local Moran’s I for the most significant areas by year. Supplementary Material Table S6.The rate of opioid prescriptions by 1,000 for each 3-digit ZIP code across years. Supplementary Material Figure S7.Spatial clusters with normalized patients receiving an opioid prescription at the county-level, Indiana, 2015–2019. Supplementary Material Table S8.OLS regression results for opioid prescribing rates over time.

Figshare
Purdue University West Lafayette (US), The University of Texas at San Antonio (US)
Openalex Percentile: Top 50%
Pasture and Agricultural Systems
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Additional file 1 of A spatiotemporal analysis of opioid prescriptions in Indiana from 2015 to 2019 · Figshare (2025) | TGRS Research Map | TGRS