Usefulness of factor and cluster analysis in grouping census tracts.

I. Lehr, H. Messinger, E. S. Rogers
{"title":"Usefulness of factor and cluster analysis in grouping census tracts.","authors":"I. Lehr, H. Messinger, E. S. Rogers","doi":"10.2307/4594459","DOIUrl":null,"url":null,"abstract":"CENSUS TRACTS are useful demographic and statistical units of study. Within the larger circumscribed community, they are especially useful for determining subpopulation characteristics and subpopulations at risk to inadequate care, disease, and mortality. Officials participating in community health planning have expressed a strong interest in studies using census tract data. A recent report by the Study Group on the 1970 Census and Vital and Health Statistics suggests that the availability of such small area data \"presents an excellent opportunity for those who are responsible for vital records systems to produce complementary data necessary for health planning, demography, and general social research\" (1). Census tracts provide useful basic statistical units for comparing vital rates only when both the number of events (the numerator) and the population at risk (the denominator) for each tract are adequate. To solve the problem of a numerator, the investigator can extend his observations to 3 Dr. Lehr was a research associate and Dr. Rogers was professor of public health and medical administration, School of Public Health, University of California, Berkeley, at the time of this study. Dr. Messinger is a fellow at the Institute of Health Research, Berkeley. This study was supported in part by a Taxonomic Community Health Analysis grant HS-0012 from the Public Health Service and by General Research Support grant 5-S0J-R-05441 from the National Institutes of Health. Computer services were supplied by Franck Oechsli, School of Public Health Statistical Services, and vital statistics data were supplied by the San Francisco Department of Public Health and Dr. Victor Eisner, clinical professor of maternal and child health, at the school of public health. Tearsheet requests to Dr. Irene Lehr, 1786 Spruce St., Berkeley, Calif. 94709.","PeriodicalId":78306,"journal":{"name":"HSMHA health reports","volume":"87 2 1","pages":"154-63"},"PeriodicalIF":0.0000,"publicationDate":"1972-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2307/4594459","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"HSMHA health reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2307/4594459","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

CENSUS TRACTS are useful demographic and statistical units of study. Within the larger circumscribed community, they are especially useful for determining subpopulation characteristics and subpopulations at risk to inadequate care, disease, and mortality. Officials participating in community health planning have expressed a strong interest in studies using census tract data. A recent report by the Study Group on the 1970 Census and Vital and Health Statistics suggests that the availability of such small area data "presents an excellent opportunity for those who are responsible for vital records systems to produce complementary data necessary for health planning, demography, and general social research" (1). Census tracts provide useful basic statistical units for comparing vital rates only when both the number of events (the numerator) and the population at risk (the denominator) for each tract are adequate. To solve the problem of a numerator, the investigator can extend his observations to 3 Dr. Lehr was a research associate and Dr. Rogers was professor of public health and medical administration, School of Public Health, University of California, Berkeley, at the time of this study. Dr. Messinger is a fellow at the Institute of Health Research, Berkeley. This study was supported in part by a Taxonomic Community Health Analysis grant HS-0012 from the Public Health Service and by General Research Support grant 5-S0J-R-05441 from the National Institutes of Health. Computer services were supplied by Franck Oechsli, School of Public Health Statistical Services, and vital statistics data were supplied by the San Francisco Department of Public Health and Dr. Victor Eisner, clinical professor of maternal and child health, at the school of public health. Tearsheet requests to Dr. Irene Lehr, 1786 Spruce St., Berkeley, Calif. 94709.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
因子和聚类分析在分组人口普查区中的有效性。
人口普查区是有用的人口和统计研究单位。在较大的限定社区内,它们对于确定亚种群特征和面临护理不足、疾病和死亡率风险的亚种群特别有用。参与社区卫生规划的官员对利用人口普查区数据进行研究表示了浓厚的兴趣。1970年人口普查和人口与健康统计研究小组最近的一份报告表明,这种小地区数据的可用性“为那些负责人口动态记录系统的人提供了一个极好的机会,使他们能够为卫生规划、人口统计、只有当每个地区的事件数量(分子)和危险人口数量(分母)都足够时,人口普查区才能为比较人口死亡率提供有用的基本统计单位。为了解决分子的问题,研究者可以将他的观察延伸到3 . Dr. Lehr是一名研究助理,Dr. Rogers是加州大学伯克利分校公共卫生学院公共卫生和医疗管理教授。梅辛格博士是伯克利健康研究所的研究员。本研究得到了公共卫生服务分类学社区健康分析基金HS-0012和美国国立卫生研究院一般研究支持基金5-S0J-R-05441的部分支持。计算机服务由公共卫生统计服务学院的Franck Oechsli提供,生命统计数据由旧金山公共卫生部和公共卫生学院妇幼保健临床教授Victor Eisner博士提供。泪表请求艾琳·莱尔博士,加州伯克利云杉街1786号,94709。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Diagnosing Periprosthetic Joint Infection: a Scoping Review. Impending shortage of cytotechnologists. Nursing home surveyors. Alaskan villages receive human services. Establishment of a national system for surveillance of injuries.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1