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Equity in the development of telemedicine sites in an Arkansas high-risk pregnancy programme

机译:阿肯色州高风险怀孕计划中远程医疗站点开发的公平性

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We investigated where telemedicine sites were placed in a telemedicine network to assist high-risk pregnancies in Arkansas. There were 14 telemedicine sites in 75 counties, excluding the central site in Pulaski county. Logistic regression was used to examine site placement. Five potential predictors of site placement were examined: (1) the logarithm of the number of births in the county (LOGBIRTHS); (2) an indicator of whether a county had an abnormal rate of low birthweight babies (HIGHLBW); (3) the proportion of the county population below the government's poverty level; (4) the ratio of black to white births; (5) an indicator of whether the county bordered the telemedicine hub site county. The results suggested that telemedicine sites were placed where there were more births (LOGBIRTHS, P = 0.001) and more low birthweight babies (HIGHLBW, P = 0.004). After controlling for these variables, the county poverty level did not reduce the likelihood of site placement. Thus telemedicine sites had been established in those areas where the need was great both in terms of immediate risk (rate of low birthweight babies) and in terms of the continuing pressure of large numbers of births. This is significant in view of the concentration of poor minorities in certain areas, which historically have not been matched by past distribution of resources.
机译:我们调查了远程医疗站点放置在远程医疗网络中的位置,以协助阿肯色州的高风险怀孕。除普拉斯基县的中心站点外,在75个县中有14个远程医疗站点。 Logistic回归用于检查站点位置。研究了五个可能的地点位置预测因素:(1)县内出生人数的对数(LOGBIRTHS); (2)一个县是否有低出生体重婴儿(HIGHLBW)异常率的指标; (3)县政府以下贫困人口比例; (4)黑人与白人的比例; (5)指示该县是否与远程医疗中心站点县接壤的指示器。结果表明,将远程医疗站点放置在有更多婴儿(LOGBIRTHS,P = 0.001)和更多低体重婴儿(HIGHLBW,P = 0.004)的地方。在控制了这些变量之后,县的贫困水平并未降低工地安置的可能性。因此,在急需风险(出生体重低的婴儿的比率)和大量分娩的持续压力方面都非常需要的地区建立了远程医疗站点。鉴于少数群体集中在某些地区,这是很重要的,这些地区历来没有过去的资源分配。

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  • 来源
    《Journal of Telemedicine and Telecare》 |2006年第5期|p.242-245|共4页
  • 作者单位

    Fetal Medicine Foundation of America, New York, USA;

    wDepartment of Statistics, Florida State University, Tallahassee, USA;

    zDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, USA;

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