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我们是否在为最弱势群体服务?审视南卡罗来纳州家庭探访项目的覆盖面。

Are We Serving the Most At-Risk Communities? Examining the Reach of a South Carolina Home Visiting Program.

机构信息

Rural and Minority Health Research Center, Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.

Children's Trust of South Carolina, Columbia, SC, USA.

出版信息

J Community Health. 2019 Aug;44(4):764-771. doi: 10.1007/s10900-018-00606-5.

DOI:10.1007/s10900-018-00606-5
PMID:30554297
Abstract

In addition to individual-level characteristics, characteristics of the social and physical environments in which individuals reside may adversely impact health outcomes. Careful attention to the role of "place" can result in programs that successfully deliver services to those most at risk. This retrospective, cross-sectional study used geocoded residential addresses from 3090 households enrolled in a South Carolina (SC) home visiting program, 2013-2016, and corresponding years of data for maternal and child health outcomes obtained from vital records data. ZIP Code Tabulation Areas (ZCTAs) served as the primary geographic unit of analysis. ZCTAS with high volumes of birth or adverse maternal and child health outcomes for any of 10 indicators were flagged. Distribution of enrolled households across highest-risk ZCTAs was calculated. Of 379 ZCTAS with reported data, 152 had 8 or more risk flags. Of the 152 highest-risk ZCTAs, 33 also had high birth volumes. Fifty-seven of the 152 highest-risk ZCTAs had no enrollees; seven of the 33 highest-risk/highest-volume ZCTAS had no enrollees. Service delivery gaps existed despite a statewide, county-level needs assessment conducted prior to program implementation. This study suggests methods to identify service areas of need, as an ongoing effort toward program improvement.

摘要

除了个体层面的特征外,个体所在的社会和物理环境特征也可能对健康结果产生不利影响。仔细关注“地点”的作用,可以使那些风险最高的人成功地获得服务。本回顾性、横断面研究使用了 2013 年至 2016 年南卡罗来纳州(SC)家访项目中 3090 户家庭的经地理编码的居住地址,以及从生命记录数据中获得的母婴健康结果的相应年份数据。ZIP Code Tabulation Areas(ZCTA)是主要的分析地理单位。对于任何 10 个指标中的出生或母婴健康不良结果数量较多的 ZCTA 进行标记。计算了登记家庭在最高风险 ZCTA 中的分布情况。在报告数据的 379 个 ZCTA 中,有 152 个有 8 个或更多的风险标志。在 152 个高风险 ZCTA 中,有 33 个也有高出生量。在 152 个高风险 ZCTA 中,有 57 个没有登记家庭;在 33 个高风险/高容量 ZCTA 中,有 7 个没有登记家庭。尽管在项目实施前进行了全州和县一级的需求评估,但仍存在服务提供差距。这项研究提出了识别服务需求领域的方法,作为项目改进的持续努力。

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本文引用的文献

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Using GIS Mapping to Target Public Health Interventions: Examining Birth Outcomes Across GIS Techniques.利用地理信息系统绘图确定公共卫生干预目标:通过地理信息系统技术研究出生结局
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Geography matters: state-level variation in children's oral health care access and oral health status.地理位置很重要:儿童口腔保健服务可及性和口腔健康状况的州级差异
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Enduring effects of prenatal and infancy home visiting by nurses on maternal life course and government spending: follow-up of a randomized trial among children at age 12 years.护士进行的产前和婴儿期家访对母亲人生轨迹及政府支出的长期影响:一项针对12岁儿童的随机试验随访
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Geographic information systems (GIS) for Health Promotion and Public Health: a review.用于健康促进和公共卫生的地理信息系统(GIS):综述
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Toward a policy-relevant analysis of geographic and racial/ethnic disparities in child health.迈向对儿童健康方面地理和种族/族裔差异的与政策相关的分析。
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Is neighborhood deprivation independently associated with maternal and infant health? Evidence from Florida and Washington.邻里贫困与母婴健康是否独立相关?来自佛罗里达州和华盛顿州的证据。
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