LEADER 00000ctm a2200661Ia 4500 001 ocn550635014 005 20100628112416.0 008 100310s2009 xx a rbm 000 0 eng d 035 (OCoLC)ocn550635014 035 491338 040 RID|beng|cRID|dRID 043 n-us--- 049 RIDM 050 4 RA413.7.U53|bF57 2009 090 RA413.7.U53 F57 2009 100 1 Fischer, Leah Simone. 245 12 A comparative analysis of CHIP perinatal policy in twelve states /|cby Leah Simone Fischer. 264 0 |c2009. 300 134 pages :|billustrations 336 text|btxt|2rdacontent 337 unmediated|bn|2rdamedia 338 volume|bnc|2rdacarrier 500 Adviser: Stephen H. Linder. 500 UMI number 3350227. 502 |bPh. D.|cUniversity of Texas Health Science Center at Houston, School of Public Health|d2009. 504 Includes bibliographical references (pages 130-134). 520 The purpose of this comparative analysis of CHIP Perinatal policy (42 CFR & sect; 457) was to provide a basis for understanding the variation in policy outputs across the twelve states that, as of June 2007, implemented the Unborn Child rule. This Department of Health and Human Services regulation expanded in 2002 the definition of "child" to include the period from conception to birth, allowing states to consider an unborn child a "targeted low-income child" and therefore eligible for SCHIP coverage. 520 Specific study aims were to (1) describe typologically the structural and contextual features of the twelve states that adopted a CHIP Perinatal policy; (2) describe and differentiate among the various designs of CHIP Perinatal policy implemented in the states; and (3) develop a conceptual model that links the structural and contextual features of the adopting states to differences in the forms the policy assumed, once it was implemented. 520 Secondary data were collected from publicly available information sources to describe characteristics of states' political system, health system, economic system, sociodemographic context and implemented policy attributes. I posited that socio-demographic differences, political system differences and health system differences would directly account for the observed differences in policy output among the states. 520 Exploratory data analysis techniques, which included median polishing and multidimensional scaling, were employed to identify compelling patterns in the data. Scaled results across model components showed that economic system was most closely related to policy output, followed by health system. Political system and socio- demographic characteristics were shown to be weakly associated with policy output. Goodness-of-fit measures for MDS solutions implemented across states and model components, in one- and two-dimensions, were very good. 520 This comparative policy analysis of twelve states that adopted and implemented HHS Regulation 42 C.F.R. & sect; 457 contributes to existing knowledge in three areas: CHIP Perinatal policy, public health policy and policy sciences. First, the framework allows for the identification of CHIP Perinatal program design possibilities and provides a basis for future studies that evaluate policy impact or performance. Second, studies of policy determinants are not well represented in the health policy literature. Thus, this study contributes to the development of the literature in public health policy. Finally, the conceptual framework for policy determinants developed in this study suggests new ways for policy makers and practitioners to frame policy arguments, encouraging policy change or reform. 533 Photocopy.|bAnn Arbor, Mich. :|cUMI Dissertation Services, |d[2010]|exii, 134 p. : col. ill. ; 22 cm. 610 20 State Children's Health Insurance Program (U.S.)|0https:// id.loc.gov/authorities/names/no99007367 610 27 State Children's Health Insurance Program (U.S.)|2fast |0https://id.worldcat.org/fast/745014 650 0 Health insurance|zUnited States|xStates.|0https:// id.loc.gov/authorities/subjects/sh2008123846 650 0 Maternal health services|0https://id.loc.gov/authorities/ subjects/sh85082102|xGovernment policy|0https://id.loc.gov /authorities/subjects/sh99005269|zUnited States|0https:// id.loc.gov/authorities/names/n78095330-781|xStates.|0https ://id.loc.gov/authorities/subjects/sh2001008678 650 0 Fetus|0https://id.loc.gov/authorities/subjects/sh85047965 |xMedical care|0https://id.loc.gov/authorities/subjects/ sh00005607|xGovernment policy|0https://id.loc.gov/ authorities/subjects/sh99005269|zUnited States|0https:// id.loc.gov/authorities/names/n78095330-781|xStates.|0https ://id.loc.gov/authorities/subjects/sh2001008678 650 0 Poor children|0https://id.loc.gov/authorities/subjects/ sh85104852|xMedical care|0https://id.loc.gov/authorities/ subjects/sh00005607|xGovernment policy|0https://id.loc.gov /authorities/subjects/sh99005269|zUnited States|0https:// id.loc.gov/authorities/names/n78095330-781|xStates.|0https ://id.loc.gov/authorities/subjects/sh2001008678 650 7 Health insurance.|2fast|0https://id.worldcat.org/fast/ 1715839 650 7 Maternal health services|xGovernment policy.|2fast|0https: //id.worldcat.org/fast/1012005 650 7 Maternal health services.|2fast|0https://id.worldcat.org/ fast/1011995 650 7 Fetus.|2fast|0https://id.worldcat.org/fast/923427 650 7 Medical care.|2fast|0https://id.worldcat.org/fast/1013753 650 7 Government policy.|2fast|0https://id.worldcat.org/fast/ 1353198 650 7 Poor children|xMedical care.|2fast|0https:// id.worldcat.org/fast/1071191 650 7 Poor children.|2fast|0https://id.worldcat.org/fast/1071167 651 7 United States.|2fast|0https://id.worldcat.org/fast/1204155 655 7 Academic theses.|2lcgft|0https://id.loc.gov/authorities/ genreForms/gf2014026039 655 7 Academic theses.|2fast|0https://id.worldcat.org/fast/ 1726453 700 1 Hacker, Carl S.,|ecommittee member. 700 1 Kelder, Steven H.,|ecommittee member. 901 MARCIVE 20231220 935 491338 948 |d20100310|cMH|torig|lridm|v1 994 C0|bRID
|