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Unconventional Gas and Oil Drilling Is Associated with Increased Hospital Utilization Rates

机译:非常规的油气钻探与医院利用率的提高相关

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摘要

Over the past ten years, unconventional gas and oil drilling (UGOD) has markedly expanded in the United States. Despite substantial increases in well drilling, the health consequences of UGOD toxicant exposure remain unclear. This study examines an association between wells and healthcare use by zip code from 2007 to 2011 in Pennsylvania. Inpatient discharge databases from the Pennsylvania Healthcare Cost Containment Council were correlated with active wells by zip code in three counties in Pennsylvania. For overall inpatient prevalence rates and 25 specific medical categories, the association of inpatient prevalence rates with number of wells per zip code and, separately, with wells per km2 (separated into quantiles and defined as well density) were estimated using fixed-effects Poisson models. To account for multiple comparisons, a Bonferroni correction with associations of p<0.00096 was considered statistically significant. Cardiology inpatient prevalence rates were significantly associated with number of wells per zip code (p<0.00096) and wells per km2 (p<0.00096) while neurology inpatient prevalence rates were significantly associated with wells per km2 (p<0.00096). Furthermore, evidence also supported an association between well density and inpatient prevalence rates for the medical categories of dermatology, neurology, oncology, and urology. These data suggest that UGOD wells, which dramatically increased in the past decade, were associated with increased inpatient prevalence rates within specific medical categories in Pennsylvania. Further studies are necessary to address healthcare costs of UGOD and determine whether specific toxicants or combinations are associated with organ-specific responses.
机译:在过去的十年中,非常规的天然气和石油钻探(UGOD)在美国显着扩展。尽管钻井量大大增加,但仍不清楚暴露于UGOD毒物的健康后果。这项研究通过邮政编码从2007年到2011年在宾夕法尼亚州研究了水井与医疗保健用途之间的关联。通过宾夕法尼亚州三个县的邮政编码,将宾夕法尼亚州医疗保健成本控制委员会的住院病人出院数据库与活动井关联起来。对于总体住院患病率和25种特定医疗类别,住院患病率与每个邮政编码的井数以及分别与每km 2 的井数的关系(分为分位数并定义为井密度)使用固定效应泊松模型进行估计。为了说明多重比较,关联度p <0.00096的Bonferroni校正被认为具有统计学意义。心脏病患者的患病率与每个邮政编码的孔数(p <0.00096)和每km 2 的孔数(p <0.00096)显着相关,而神经病学的患病率与每km 2 (p <0.00096)。此外,证据还支持皮肤科,神经科,肿瘤科和泌尿科的医学类别的井密度与住院患病率之间的关联。这些数据表明,在过去十年中,UGOD井的数量急剧增加,与宾夕法尼亚州特定医学类别的住院患病率上升有关。有必要进行进一步的研究来解决UGOD的医疗费用,并确定特定的毒物或组合是否与器官特异性反应相关。

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