影响康涅狄格州城乡救护车反应时间差异的社会经济因素。

Eashwar Krishna
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引用次数: 0

摘要

在美国,农村地区的救护车反应时间更长,收入中位数也往往较低,这是一个有据可查的事实。摘要本研究的目的是检验康涅狄格州城乡紧急医疗服务(EMS)反应时间差异是否与财富差异有关。所有EMS平均响应时间均来自2016年紧急医疗服务办公室数据报告。农村定义来自康涅狄格州农村卫生办公室。收入中位数数据来自康涅狄格州政策与管理办公室。Mann-Whitney U检验确定农村EMS的平均反应时间是否大于非农村EMS的平均反应时间。皮尔逊系数量化了收入中位数与EMS响应时间之间的关系。t检验确定了两个数据集的平均收入中位数是否不同。农村地区EMS平均反应时间为12.98 min (SD = 3.36),非农村地区为8.26 min (SD = 2.12)。农村平均反应时间与收入中位数无显著相关(r = -)。148年,p = .247);非农村平均反应时间与收入中位数也无显著相关。农村家庭平均收入(98,258美元)与非农村家庭平均收入(95,706美元)之间没有显著差异(t=0.478, p=.633)。从中等收入趋势来看,农村和非农村城镇之间的EMS响应时间可能存在显著差异,康涅狄格州就是如此。这些发现可能具有有限的普遍性,因为与其他州相比,康涅狄格州的收入中位数相对较高,但可能与具有类似经济指标的州相关。
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Socioeconomic factors influencing rural-urban ambulance response time disparities in Connecticut.

Across the U.S, it is a documented fact that rural areas have longer ambulance response times and tend to have lower median income. The objective of this study was to test if the rural-urban emergency medical service (EMS) response time disparity was related to wealth disparity in the state of Connecticut. All mean EMS response times were sourced from the 2016 Office of Emergency Medical Services Data Report. Rural definitions were sourced from the Connecticut Office of Rural Health. Median income data was drawn from the Connecticut Office of Policy and Management. A Mann-Whitney U test determined if the average rural EMS response time was greater than the non-rural EMS response time. Pearson coefficients quantified the relationship between median income and EMS response time. A t-test ascertained if the average median income differed between the two datasets. The mean EMS response time was 12.98 min (SD = 3.36) rural and 8.26 min (SD = 2.12) non-rural. Rural mean response time and median income were not significantly correlated (r = -.148, p=.247); non-rural mean response time and median income were also not significantly related. No significant disparity was detected (t=0.478, p=.633) between the mean rural household income ($98,258) and mean non-rural household income ($95,706). Significant disparities in EMS response times can exist between rural and non-rural towns separate from median income trends, as is the case in Connecticut. These findings may have limited generalizability because of Connecticut's relatively high median income as compared to other states yet may be relevant to states with similar economic metrics.

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