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You searched for subject:(Local Policy Decisions). Showing records 1 – 2 of 2 total matches.

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Virginia Tech

1. Ko, Myeong Chul. The Effects of Community Quality of Life on Local Policy Decisions.

Degree: PhD, Public Administration and Public Affairs, 2011, Virginia Tech

There have been extensive debates on the factors that influence local policy decisions. Although many researchers have contributed to uncovering various influences such as political, economic, institutional, and demographic factors on local policy decisions, however, the concept of QoL rarely has used in extant literature. Local government spending is likely to be affected by citizen demands for achieving community well-being. Additionally, given that different policy functions variably affect local circumstances, the impact of QoL on local policy decisions will depend on the policy area. Hence, this study examined the relationship between QoL and local budgetary decisions based on Petersonâ s (1981) policy scheme of, three distinct policy arenas (developmental, allocational, and redistributive policy). In examining the relationship of QoL and city spending across policy functions, I also considered economic, political, institutional, and demographic factors, derived from various theoretical perspectives on local policy decisions. The relative influences of community QoL as well as other factors on local policy decisions were estimated by two-stage least squares regression analysis (2SLS) for developmental spending and by ordinary least squares (OLS) for allocational and redistributive spending. To measure community QoL, this study used 89,066 completed surveys from 167 communities in the United States for 2002-2008 are used. QoL appeared as a critical factor influencing local government expenditures in the three policy areas. The impact of QoL on local spending in the three areas differed depending on city income levels; city income levels then moderated local policy decisions. These findings suggest that local policy priorities adjusted in accordance with economic growth. Allocational policy functions also should be thought to be functions of cities geared toward giving them a competitive edge over other cities by meeting evolved citizen preferences for city amenities. These findings also point to distinct patterns of political activities in each policy arena. Given that community QoL reflects adjusted citizensâ demands, I contend that community QoL can contribute to performance management by providing additional public information and a complementary performance indicator. Advisors/Committee Members: Dudley, Larkin S. (committee member), Sirgy, M. Joseph (committee member), Roberts, Patrick S. (committee member), Choi, Sang O. (committeecochair), Hult, Karen M. (committeecochair).

Subjects/Keywords: City Government Spending; Local Policy Decisions; Community Quality of Life

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APA (6th Edition):

Ko, M. C. (2011). The Effects of Community Quality of Life on Local Policy Decisions. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28673

Chicago Manual of Style (16th Edition):

Ko, Myeong Chul. “The Effects of Community Quality of Life on Local Policy Decisions.” 2011. Doctoral Dissertation, Virginia Tech. Accessed June 24, 2019. http://hdl.handle.net/10919/28673.

MLA Handbook (7th Edition):

Ko, Myeong Chul. “The Effects of Community Quality of Life on Local Policy Decisions.” 2011. Web. 24 Jun 2019.

Vancouver:

Ko MC. The Effects of Community Quality of Life on Local Policy Decisions. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10919/28673.

Council of Science Editors:

Ko MC. The Effects of Community Quality of Life on Local Policy Decisions. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/28673


University of Akron

2. Saffore, Lateef Yusef, PhD. What Factors Influence Medicare Reimbursement Payments for Healthcare Providers that Admit Diabetic Patients?.

Degree: PhD, Public Administration, 2011, University of Akron

In the 1959 article written by Charles Lindblom, entitled, “The Science of Muddling Through”, Lindblom argued that in general, people make decisions in relatively small increments rather than in big leaps (Birkland, 2001). The rational comprehensive method of decision making is referred to as the root method because decisions start from the “root” of the [tree] issue (Birkland, 2001). Lindblom describes incrementalism as the [tree] branch of an issue because it builds on prior knowledge about an issue (Birkland, 2001). The history of the Medicare program, focuses on program implementation reform in reference to coverage and reimbursement. In this study, incrementalism was used the academic approach to build on the Medicare program reform from the perspective of program implementation reform for coverage, and the reimbursement in the diabetes diagnosis related group at the healthcare provider level. The purpose of this study was to explore the factors that contribute to Medicare reimbursement payment variations among healthcare providers that treat the diabetic diagnosis related group (DRG). The current regulatory policy practices of the Medicare program where examined for causes in Medicare reimbursement payments variation. In consideration of the type of regulations (i.e. quality, quantity, price and indirect control) used by government agencies, a rulemaking framework was used to recommend alternative policies (i.e. precise, flexible and Pareto Optimum). The study did not suggest that all variation in Medicare reimbursement payments were due to the aforementioned factors. Nor did the study settle on the idea that variation in Medicare reimbursement payments is unexplained or intentionally created for the benefit of some healthcare providers (i.e. rural or urban healthcare providers). Solving all problems in the entire Medicare program is a big leap, therefore this was not the objective of this study. Therefore, findings in this study suggest that a research approach involving an incremental examination of the Medicare contractor LCDs and National Medicare PPS’s impact on all DRGs (i.e. leukemia, transplantation, cardiovascular disease etc.,) to address issues in the clinical specialty practice is a novel approach for healthcare reform for the Medicare program. Advisors/Committee Members: Berry-James, RaJade (Committee Co-Chair), Cox, Raymond (Advisor).

Subjects/Keywords: Health; Public Administration; Public Policy; Medicare program; Medicare contractors; National Medicare PPS; local coverage decisions; LCDs; national coverage decisions; diabetes diagnosis related group; healthcare reform; wage index; continuum codes; patient access; privatization; incrementalism

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Saffore, Lateef Yusef, P. (2011). What Factors Influence Medicare Reimbursement Payments for Healthcare Providers that Admit Diabetic Patients?. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1303145384

Chicago Manual of Style (16th Edition):

Saffore, Lateef Yusef, PhD. “What Factors Influence Medicare Reimbursement Payments for Healthcare Providers that Admit Diabetic Patients?.” 2011. Doctoral Dissertation, University of Akron. Accessed June 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1303145384.

MLA Handbook (7th Edition):

Saffore, Lateef Yusef, PhD. “What Factors Influence Medicare Reimbursement Payments for Healthcare Providers that Admit Diabetic Patients?.” 2011. Web. 24 Jun 2019.

Vancouver:

Saffore, Lateef Yusef P. What Factors Influence Medicare Reimbursement Payments for Healthcare Providers that Admit Diabetic Patients?. [Internet] [Doctoral dissertation]. University of Akron; 2011. [cited 2019 Jun 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1303145384.

Council of Science Editors:

Saffore, Lateef Yusef P. What Factors Influence Medicare Reimbursement Payments for Healthcare Providers that Admit Diabetic Patients?. [Doctoral Dissertation]. University of Akron; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1303145384

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