Emily Putnam-Hornstein, Joanne N Wood, John Fluke, Amanda Yoshioka-Maxwell, Rachel P Berger
{"title":"预防严重和致命的儿童虐待:说明扩大使用和整合数据的理由。","authors":"Emily Putnam-Hornstein, Joanne N Wood, John Fluke, Amanda Yoshioka-Maxwell, Rachel P Berger","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>In this article we examine risk factors for severe and fatal child maltreatment. These factors emerge from studies based on different data sources, including official child maltreatment data, emergency department and hospitalization data, death certificates, and data from child death review teams. The empirical literature reflects a growing effort to overcome the measurement uncertainties of any one individual data system. After review and reflection upon what is known, we consider how integrating this information can advance efforts to protect children, providing examples where the use and linkage of multiple sources of data may enhance surveillance, improve front-end decisionmaking, and support cost-effective research and evaluation.</p>","PeriodicalId":9796,"journal":{"name":"Child Welfare","volume":"92 2","pages":"59-75"},"PeriodicalIF":0.8000,"publicationDate":"2013-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Preventing severe and fatal child maltreatment: making the case for the expanded use and integration of data.\",\"authors\":\"Emily Putnam-Hornstein, Joanne N Wood, John Fluke, Amanda Yoshioka-Maxwell, Rachel P Berger\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this article we examine risk factors for severe and fatal child maltreatment. These factors emerge from studies based on different data sources, including official child maltreatment data, emergency department and hospitalization data, death certificates, and data from child death review teams. The empirical literature reflects a growing effort to overcome the measurement uncertainties of any one individual data system. After review and reflection upon what is known, we consider how integrating this information can advance efforts to protect children, providing examples where the use and linkage of multiple sources of data may enhance surveillance, improve front-end decisionmaking, and support cost-effective research and evaluation.</p>\",\"PeriodicalId\":9796,\"journal\":{\"name\":\"Child Welfare\",\"volume\":\"92 2\",\"pages\":\"59-75\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2013-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Child Welfare\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"FAMILY STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Child Welfare","FirstCategoryId":"90","ListUrlMain":"","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FAMILY STUDIES","Score":null,"Total":0}
Preventing severe and fatal child maltreatment: making the case for the expanded use and integration of data.
In this article we examine risk factors for severe and fatal child maltreatment. These factors emerge from studies based on different data sources, including official child maltreatment data, emergency department and hospitalization data, death certificates, and data from child death review teams. The empirical literature reflects a growing effort to overcome the measurement uncertainties of any one individual data system. After review and reflection upon what is known, we consider how integrating this information can advance efforts to protect children, providing examples where the use and linkage of multiple sources of data may enhance surveillance, improve front-end decisionmaking, and support cost-effective research and evaluation.