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Poison Centre

Regional variations in pediatric medication exposure: Spatial analysis of poison center utilization in western Pennsylvania

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Pages 47-52 | Received 10 Aug 2015, Accepted 22 Oct 2015, Published online: 26 Nov 2015
 

Abstract

Context Medication drug exposures among young children continue to rise despite current poison prevention efforts. These exposures result in increased healthcare utilization and medical costs. New tactics are needed to reduce injuries related to pediatric drug exposures. Objective We aimed to identify cluster patterns in: (1) calls for pediatric medication drug exposures and (2) a subset of calls that resulted in medical evaluation referrals. We identified and evaluated population characteristics associated with cluster patterns. Methods We analyzed 26 685 pharmaceutical drug exposures involving children <5 years of age based on calls reported to the Pittsburgh Poison Center from 1 January 2006 to 31 December 2010. We performed spatial statistics to assess for clustering. We used logistic regression to estimate population characteristics associated with clustering. Results Spatial analysis identified 22 exposure clusters and five referral clusters. Sixty-five percent of 89 ZIP codes in the clusters of drug exposure with healthcare facility (HCF) referral were not identified in the exposure clusters. ZIP codes in the HCF referral clusters were characterized as rural, impoverished, and with high rates of unemployment and school dropouts. Discussion Our principal findings demonstrate pediatric drug exposures do exist in discrete geographic clusters and with distinct socioeconomic characteristics. Conclusion This study offers a starting point for subsequent investigations into the geographic and social context of pediatric medication drug exposures. This is an important step in revising pediatric poison prevention strategies.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.

The project was supported by the University of Pittsburgh Clinical and Translational Science Institute (CTSI) through the National Institutes of Health (grant no. UL1TR000005).

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