{"title":"遗传学地理学:癌症遗传学服务转诊模式分析。","authors":"Kevin McDonald, Rachel Iredale, Gary Higgs","doi":"10.1007/s11568-008-9016-y","DOIUrl":null,"url":null,"abstract":"<p><p>This study uses a geographical information system (GIS) and statistical analysis to look for patterns in referrals to a British cancer genetics service. In this case, familial cancers are taken to be those that can develop when an individual inherits DNA mutations that cause an increased risk of cancer. Between 1998 and 2006 the Cancer Genetics Service for Wales received nearly 11,000 referrals for patients resident in Wales and it is the service database recording those referrals which is the subject of this secondary analysis. Using postcodes to match referred patients to areas, deprivation scores were assigned. Referral rates per 10,000 head of population across the 8-year study period by unitary authority are presented, as is information on referrals from primary and secondary care sources by year. Each patient referred has their family history of cancer recorded and is assigned to a risk category; high, medium or average. There are correlations between number of GPs (General Practitioners) in a practice, number of patients referred from a practice, and deprivation as measured by the overall Welsh Index of Multiple Deprivation 2005, such that the two former factors increase as deprivation decreases. Over time there were changes in referral sources, with referrals from primary care overtaking those from secondary care in percentage and absolute terms. There were also changes in the types of cancer referred, risk categories seen and to which centre referrals were made. Referral patterns reveal an inverse relationship between deprivation and health service availability and use.</p>","PeriodicalId":87975,"journal":{"name":"Genomic medicine","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2269036/pdf/11568_2008_Article_9016.pdf","citationCount":"0","resultStr":"{\"title\":\"The geography of genetics: an analysis of referral patterns to a cancer genetics service.\",\"authors\":\"Kevin McDonald, Rachel Iredale, Gary Higgs\",\"doi\":\"10.1007/s11568-008-9016-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study uses a geographical information system (GIS) and statistical analysis to look for patterns in referrals to a British cancer genetics service. In this case, familial cancers are taken to be those that can develop when an individual inherits DNA mutations that cause an increased risk of cancer. Between 1998 and 2006 the Cancer Genetics Service for Wales received nearly 11,000 referrals for patients resident in Wales and it is the service database recording those referrals which is the subject of this secondary analysis. Using postcodes to match referred patients to areas, deprivation scores were assigned. Referral rates per 10,000 head of population across the 8-year study period by unitary authority are presented, as is information on referrals from primary and secondary care sources by year. Each patient referred has their family history of cancer recorded and is assigned to a risk category; high, medium or average. There are correlations between number of GPs (General Practitioners) in a practice, number of patients referred from a practice, and deprivation as measured by the overall Welsh Index of Multiple Deprivation 2005, such that the two former factors increase as deprivation decreases. Over time there were changes in referral sources, with referrals from primary care overtaking those from secondary care in percentage and absolute terms. There were also changes in the types of cancer referred, risk categories seen and to which centre referrals were made. Referral patterns reveal an inverse relationship between deprivation and health service availability and use.</p>\",\"PeriodicalId\":87975,\"journal\":{\"name\":\"Genomic medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2007-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2269036/pdf/11568_2008_Article_9016.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genomic medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11568-008-9016-y\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2008/1/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomic medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11568-008-9016-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2008/1/23 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
摘要
这项研究利用地理信息系统(GIS)和统计分析来寻找英国癌症遗传学服务的转诊模式。在这种情况下,家族性癌症是指那些因遗传 DNA 变异而导致患癌风险增加的癌症。1998 年至 2006 年间,威尔士癌症遗传学服务机构收到了近 11,000 名居住在威尔士的患者的转诊申请,而记录这些转诊申请的服务数据库正是本次二次分析的主题。利用邮政编码将转诊患者与地区相匹配,并对其进行贫困程度评分。报告显示了 8 年研究期间按单位当局分列的每 10,000 人的转诊率,以及按年份分列的来自初级和二级医疗机构的转诊信息。每位转诊患者都记录了其癌症家族史,并被划分为高、中或一般风险类别。诊所的全科医生(GP)数量、诊所转介的病人数量与 2005 年威尔士多重贫困指数(Welsh Index of Multiple Deprivation 2005)所衡量的贫困程度之间存在相关性,因此前两个因素随着贫困程度的降低而增加。随着时间的推移,转诊来源也发生了变化,从百分比和绝对值来看,来自初级医疗机构的转诊人数超过了来自二级医疗机构的转诊人数。转诊的癌症类型、就诊风险类别以及转诊中心也发生了变化。转诊模式揭示了贫困与医疗服务可用性和使用之间的反比关系。
The geography of genetics: an analysis of referral patterns to a cancer genetics service.
This study uses a geographical information system (GIS) and statistical analysis to look for patterns in referrals to a British cancer genetics service. In this case, familial cancers are taken to be those that can develop when an individual inherits DNA mutations that cause an increased risk of cancer. Between 1998 and 2006 the Cancer Genetics Service for Wales received nearly 11,000 referrals for patients resident in Wales and it is the service database recording those referrals which is the subject of this secondary analysis. Using postcodes to match referred patients to areas, deprivation scores were assigned. Referral rates per 10,000 head of population across the 8-year study period by unitary authority are presented, as is information on referrals from primary and secondary care sources by year. Each patient referred has their family history of cancer recorded and is assigned to a risk category; high, medium or average. There are correlations between number of GPs (General Practitioners) in a practice, number of patients referred from a practice, and deprivation as measured by the overall Welsh Index of Multiple Deprivation 2005, such that the two former factors increase as deprivation decreases. Over time there were changes in referral sources, with referrals from primary care overtaking those from secondary care in percentage and absolute terms. There were also changes in the types of cancer referred, risk categories seen and to which centre referrals were made. Referral patterns reveal an inverse relationship between deprivation and health service availability and use.