LEADER 04386nam 22007215 450 001 9910253334903321 005 20200705092446.0 010 $a1-4939-3423-6 024 7 $a10.1007/978-1-4939-3423-2 035 $a(CKB)3710000000571337 035 $a(EBL)4199380 035 $a(SSID)ssj0001656244 035 $a(PQKBManifestationID)16437118 035 $a(PQKBTitleCode)TC0001656244 035 $a(PQKBWorkID)14984612 035 $a(PQKB)11195883 035 $a(DE-He213)978-1-4939-3423-2 035 $a(MiAaPQ)EBC4199380 035 $a(EXLCZ)993710000000571337 100 $a20151218d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aIn Sickness and In Health $eDisease and Disability in Contemporary America /$fby Richard K. Thomas 205 $a1st ed. 2016. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2016. 215 $a1 online resource (219 p.) 225 1 $aApplied Demography Series,$x2352-376X ;$v6 300 $aDescription based upon print version of record. 311 $a1-4939-3421-X 320 $aIncludes bibliographical references and index. 327 $aIntroduction to Morbidity: Defining the Concepts -- Importance of Measuring Morbidity -- Issues in Measuring Morbidity -- Morbidity Measures -- History of Morbidity Measurement -- Generating Morbidity Data -- Sources of Morbidity Data -- Morbidity Estimates and Projections -- Assessment of Data Options -- Prospects for the Future. 330 $aThe increasing importance of sickness and disability data across health-related disciplines is the focus of this concise but comprehensive resource. It reviews the basics of morbidity at the population level by defining core concepts, analyzing why morbidity has overtaken mortality as central to demographic study, and surveying ways these data are generated, accessed, and measured. Subsequent chapters demonstrate how this knowledge can be used to better understand?and potentially solve?critical public health issues, benefitting not only populations served, but also areas such as health services planning, resource allocation, and health policy-setting.  To make this material useful to the most readers, this reference: Explains why and how morbidity data are categorized by health professionals and other data users. Examines various methods of identifying and measuring morbidity data. Identifies demographic and non-demographic factors associated with morbidity. Describes and evaluates sources of U.S. morbidity data. Reviews the current state of morbidity in the U.S., and what it means for healthcare and society in general. Suggests future uses of morbidity data in reducing health disparities and improving population health. In Sickness and In Health is uniquely relevant to demographers and demography students, public health professionals, and epidemiologists. Its presentation of concepts and applications makes the book a valuable classroom text and a useful guide for those addressing challenges facing U.S. healthcare. 410 0$aApplied Demography Series,$x2352-376X ;$v6 606 $aDemography 606 $aHealth promotion 606 $aEpidemiology 606 $aHealth informatics 606 $aDemography$3https://scigraph.springernature.com/ontologies/product-market-codes/X25000 606 $aHealth Promotion and Disease Prevention$3https://scigraph.springernature.com/ontologies/product-market-codes/H27010 606 $aEpidemiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H63000 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 607 $aUnited States$2fast 608 $aStatistics.$2fast 615 0$aDemography. 615 0$aHealth promotion. 615 0$aEpidemiology. 615 0$aHealth informatics. 615 14$aDemography. 615 24$aHealth Promotion and Disease Prevention. 615 24$aEpidemiology. 615 24$aHealth Informatics. 676 $a362.10973 700 $aThomas$b Richard K$4aut$4http://id.loc.gov/vocabulary/relators/aut$0288796 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910253334903321 996 $aIn Sickness and In Health$92534626 997 $aUNINA