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Evaluation of Technical Efficiency of Nursing Care in U.S. Critical Care Units BY ARI MIN B.S.N., Yonsei University, Seoul, South Korea, 2008 M.S.N., Yonsei University, Seoul, South Korea, 2012 THESIS Submitted as partial fulfillment of the requirements for the degree of Doctor of Philosophy in Nursing Sciences in the Graduate College of the University of Illinois at Chicago, 2016 Chicago, Illinois Defense Committee: Linda D. Scott, PhD, RN, NEA-BC, FAAN, Chair and Advisor Catherine Vincent, PhD, RN Catherine J. Ryan, PhD, RN, APN, CCRN, FAHA Chang Gi Park, PhD Taewha Lee, PhD, RN, Yonsei University To my husband and my parents ii ACKNOWLEDGEMENTS First, I would like to thank my advisor and dissertation chair, Dr. Linda Scott, for her insightful guidance, cheerful encouragement, and full support. Dr. Scott has offered me many learning opportunities throughout my doctoral program and has been particularly generous with her time in helping me to accomplish my research goals. In addition to her assistance with this dissertation, Dr. Scott has shared opportunities with me for publications, presentations, and grant applications. I am grateful not only for her thoughtful guidance, but also her patience and inspiration. Without her continued support and encouragement, I could not have completed my PhD program. I also would like to express my sincere gratitude to my dissertation committee for sharing their time and expertise in guiding my study. I am extremely thankful to Dr. Chang Gi Park not only for his support in development of my study, but also for his generous contribution of his statistical expertise throughout the research process. I also sincerely appreciate the support of Dr. Catherine Vincent, who encouraged me with kind words and strengthened the theoretical portion of my dissertation work. In addition, I would like to extend my special thanks to Dr. Catherine Ryan for her invaluable advice in planning my study and shaping my approach. Finally, I offer my special appreciation to Dr. Taewha Lee for overcoming the obstacles posed by distance to provide great support and a strong contribution to this study based on her expertise in nursing administration research. I am thankful to have received two research funding awards for my dissertation study, the Midwest Nursing Research Society Dissertation Research Grant and the Sigma Theta Tau Alpha Lambda Research Award. iii ACKNOWLEDGEMENTS (continued) I am extremely thankful to many additional individuals for their contribution to my study. Special thanks must go to the nurses of Korea, especially the PICU nurses at Samsung Medical Center in Seoul, who inspired me to pursue my PhD degree in order to contribute to a better nursing work environment through my research. Equally deserving of thanks are Dr. In Sook Kim, Ms. Geum Moon Lee, Dr. Young-Ju Kim, Dr. Gwang Suk Kim, and Dr. Hyunsook Shin in Korea, who have motivated me to move forward to accomplish my goal. I am also extremely thankful to Dr. Mi Ja Kim for helping me to overcome all obstacles and for motivating me to support the next generation of nursing students as she supported me. Moreover, I would like to express my thanks to all the faculty members of the College of Nursing. As an international student for whom English is a second language, I would like to acknowledge Mr. Jon Mann for his time and dedication in editing all of my academic papers throughout my doctoral program as well as Dr. Harveen Mann for her friendship and warm support. I also have benefited from the truly professional support provided by the administrative staff of the college: Ms. Kimberly White, Natalie Meza, and Tina Kavukattu. There is no way to express how much it has meant to me to be a PhD student at the University of Illinois at Chicago. I cannot neglect to thank the friends and colleagues who went through hard times with me, cheered me on, and celebrated each of my accomplishments: Minkyung Kang, Sujeong Kim, Meenhye Lee, Haeyoung Min, Yoo Mi Jeong, Jongwon Yoo, Seung Eun Lee, Inah Kim, KeKe Lin, Thao Griffith, Feyi Sangoleye, Hening Pujasari, Julie Johnson Lambert, Holly Houston, Jeff Williams, Alysha Hart, Amy Johnson, and all the other current and former graduate students I have known. These brilliant friends and colleagues have truly inspired me over the years. iv ACKNOWLEDGEMENTS (continued) I deeply thank my family, especially my parents, Kyungseon Min and Yangsook Kang, for their unconditional trust, constant encouragement, and endless love. It was their love that raised me up again when I became exhausted or frustrated. Finally, I owe my deepest gratitude and love to Jiyong Kim, my husband. He has been my best friend and great companion. He has loved, supported, encouraged, and entertained me throughout this challenging period and helped me to move forward in the most positive way. v TABLE OF CONTENTS CHAPTER PAGE I. ORGANIZATIONAL FACTORS ASSOCIATED WITH TECHNICAL EFFICIENCY OF NURSING CARE IN U.S. CRITICAL CARE UNITS A. Background………………………………………………..…………… 1 B. Methods……………………………………………………...….……... 4 1. Data Source………………………………………...…..………. 4 2. Measures……………………………………………...………... 6 3. Analysis………………………….…………………………….. 8 a. Data Envelopment Analysis…………………….……... 8 b. Multilevel Modeling………………...…………..…...… 9 C. Results………………….………………………………………………. 10 1. Relative Technical Efficiency of Nursing Care in U.S. Critical Care Units…………………………………...…………………. 10 2. Organizational Factors Affecting Technical Efficiency of Nursing Care………………..…………………………………. 11 D. Discussion…………………………..………………………………….. 13 E. Limitations……………………………………………………………... 17 F. Conclusion…………………………………………….……………….. 18 G. References……………………………………………………………… 19 II. IMPACT OF MEDICARE ADVANTAGE PENETRATION AND HOSPITAL COMPETITION ON TECHNICAL EFFICIENCY IN U.S. CRITICAL CARE UNITS A. Background…………………………………………………………….. 34 B. Theoretical Foundation………………………………………………… 36 C. Conceptual Model……………………………………………………... 38 D. Purpose…………………………………………………………………. 38 E. Methods…………………………………………………………..……. 39 1. Research Design……………………………………………….. 39 2. Data Sources and Sample………………………..…………….. 39 3. Variable Construction………………………………………….. 39 a. Dependent Variable……………………………………... 39 b. Independent Variables: Measures of Environmental Factors…………………………………………………... 41 c. Control Variables: Measures of Organizational Factors………………………………………………….. 41 4. Analysis………………………………………………………... 42 a. Data Envelopment Analysis……………………………. 42 b. Multilevel Modeling……………………...…………….. 43 F. Results……………………………………………………………….… 45 G. Discussion……………………………………………………………… 47 H. Limitations……………………………………………………………... 51 I. Conclusion……………………………………………………..………. 52 J. References……………………………………………………………… 54 vi TABLE OF CONTENTS (continued) CHAPTER PAGE APPENDICES………………………………………………………………... 66 VITA………………………………………………………………………….. 67 vii LIST OF TABLES TABLE PAGE I. ORGANIZATIONAL CHARACTERISTICS OF INCLUDED AND EXCLUDED CRITICAL CARE UNITS…………………………….….. 23 II. VARIABLE DESCRIPTIONS………………………………………...… 24 III. DESCRIPTIVE STATISTICS OF INPUTS AND OUTPUTS………….. 25 IV. TECHNICAL EFFICIENCY OF NURSING CARE SCORES FROM DATA ENVELOPMENT ANALYSIS………………………………….. 25 V. TECHNICAL EFFICIENCY OF NURSING CARE SCORES BY MAGNET STATUS AND HOSPITAL BED SIZE…………………….. 26 VI. BIVARIATE ANALYSIS BETWEEN TECHNICAL EFFICIENCY OF NURSING CARE AND PREDICTORS.……………………………….. 26 VII. RESULTS OF MULTILEVEL MODELING ON TECHNICAL EFFICIENCY OF NURSING CARE………..…………………………... 27 VIII. R ESULTS OF MULTILEVEL MODELING BY LEVEL OF TECHNICAL EFFICIENCY IN CRITICAL CARE UNITS……….…... 28 IX. OPERATIONALIZATION AND DATA SOURCES OF STUDY VARIABLES……………………………….……………………………. 59 X. DESCRIPTIVE CHARACTERISTICS OF CRITICAL CARE UNITS... 60 XI. RESULTS OF DATA ENVELOPMENT ANALYSIS…………………. 61 XII. BIVARIATE ANALYSIS BETWEEN TECHNICAL EFFICIENCY OF NURSING CARE AND PREDICTORS………………………………… 61 XIII. R ESULTS OF MULTILEVEL MODELING FOR TECHNICAL EFFICIENCY OF NURSING CARE……………………………………. 62 XIV. C OMPARISON OF MULTILEVEL MODELING BY LEVEL OF TECHNICAL EFFICIENCY IN CRITICAL CARE UNITS………….... 63 viii LIST OF FIGURES FIGURE PAGE 1. Distribution of technical efficiency of nursing care……………………... 29 2. Distribution of random effect of nurse-to-patient ratio slope……………………………..………………………………….……. 30 3. Relationship between nurse-to-patient ratio and fitted technical efficiency of nursing care by hospital Magnet status……………………. 31 4. Relationship between nurse-to-patient ratio and fitted technical efficiency of nursing care by hospital bed size………………………….. 32 5. Relationship between nurse-to-patient ratio and fitted technical efficiency of nursing care by Medicare case mix index…………………. 33 6. Conceptual framework based on the Structural Contingency Theory...…. 64 7. Distribution of technical efficiency of nursing care scores in data envelopment analysis………..…………………………………………… 65 ix LIST OF ABBREVIATIONS CAUTI Catheter-Associated Urinary Tract Infection CCU Critical Care Unit CI Confidence Interval CLABSI Central Line Catheter-Associated Blood Stream Infection CMI Case Mix Index CMS Centers for Medicare and Medicaid Services CRS Constant Returns to Scale DEA Data Envelopment Analysis HAPU Hospital-Acquired Pressure Ulcer HHI Herfindahl-Hirschman Index HMO Health Maintenance Organization HPPD Hours Per Patient Day ICC Intra-class Correlation Coefficient LPN Licensed Practical Nurse NDNQI National Database of Nursing Quality Indicators RN Registered Nurse SCT Structural Contingency Theory SE Standard Error UAP Unlicensed Assistive Personnel VAE Ventilator-Associated Event VRS Variable Returns to Scale x

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only for his support in development of my study, but also for his generous contribution of his .. patients are admitted to U.S. CCUs (Society of Critical Care Medicine, . (atomistic fallacy) (Klein & Kozlowski, 2000) and specialty nursing certification in addition to the nurse-to-patient ratio of e
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