Nguyen Margaret B, Pizon Anthony F, Branas Charles C, Fabio Anthony
a Department of Pediatrics , Division of Emergency Medicine, Rady Children's Hospital, University of California , San Diego , CA , USA.
b Department of Emergency Medicine , Division of Toxicology, University of Pittsburgh School of Medicine , Pittsburgh , PA , USA.
Clin Toxicol (Phila). 2016;54(1):47-52. doi: 10.3109/15563650.2015.1113543. Epub 2015 Nov 26.
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.
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.
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.
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.
Our principal findings demonstrate pediatric drug exposures do exist in discrete geographic clusters and with distinct socioeconomic characteristics.
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.
尽管目前已开展了预防中毒的工作,但幼儿药物暴露情况仍在持续增加。这些暴露导致医疗保健利用率和医疗成本上升。需要新的策略来减少与儿科药物暴露相关的伤害。
我们旨在确定以下方面的聚集模式:(1)儿科药物暴露的呼叫情况,以及(2)导致医疗评估转诊的一部分呼叫情况。我们确定并评估了与聚集模式相关的人群特征。
我们根据2006年1月1日至2010年12月31日向匹兹堡中毒控制中心报告的呼叫记录,分析了26,685例涉及5岁以下儿童的药物暴露情况。我们进行了空间统计以评估聚集情况。我们使用逻辑回归来估计与聚集相关的人群特征。
空间分析确定了22个暴露聚集区和5个转诊聚集区。在有医疗保健机构(HCF)转诊的药物暴露聚集区的89个邮政编码中,有65%在暴露聚集区中未被识别。HCF转诊聚集区的邮政编码特征为农村、贫困、失业率高和辍学率高。
我们的主要发现表明,儿科药物暴露确实存在于离散的地理聚集区,且具有独特的社会经济特征。
本研究为后续调查儿科药物暴露的地理和社会背景提供了一个起点。这是修订儿科中毒预防策略的重要一步。