A Quantitative Analysis of Nurse Staffing Skill Mix to Quality of Care in Nursing Homes

A Quantitative Analysis of Nurse Staffing Skill Mix to Quality of Care in Nursing Homes

Author: 
Nechama I. Chipantiza
Program of study: 
D.H.A.
Abstract: 
The purpose of this quantitative correlational study was to examine the relationship of quality of care to skill mix and nursing hours per resident day in nursing homes in New York State. The research method for the study was appropriate because it identified the relationship of known variables skill mix and nursing hours per resident day and quality of care. The variables were analyzed using simple regression and multiple regression analysis. The study involved analyzing secondary data from two administrative databases, Certification and Survey Provider Enhanced Reporting systems and Nursing Home Compare. In the first model, total nursing hours per resident day did not significantly predict quality of care, R= 0.05, F (1, 489) = 1.27, p= 0.26. Total nursing hours per resident day did not explain a significant amount of the variance (< 1%). The null hypothesis was not rejected. In the second model hours per resident day were entered as independent variables to determine the effect on quality of care. Similar to the first model, quality of care was not significantly predicted by certificated nurse aid hours per resident day, licensed nursing per resident day, and registered nursing hours per resident day , R = 0.08, F (1, 489) = 0.94, p = 0.42. The null hypothesis was not rejected. The results of this study implicate that nursing staff levels and hours per resident day do not necessarily affect quality of care. There are other factors that have greater influence on the quality of care in nursing homes.
Dedication: 
The help and support of my family have made this dissertation a reality. Words of encouragement were communicated to me on a daily basis. Most important, I dedicate this dissertation to my baby boy, Nathaniel Scott Genao and my family. My goal in life is to set an example for you my son, and have you consider me to be your biggest role model. Baby boy your smile and laughter gave me the strength to complete this dissertation. To my husband, Daniel Genao, thank you for the support and love you showed me throughout this journey. Your unwavering love is everything to me. To my mother and step-father, Nubia and Dr. Glenn Valladares, without your constant reminder that dreams are only as far as you make them, this dissertation would not have been a reality. My father, Heriberto Chipantiza, thank you for teaching me that one needs to complete whatever journey one embarks. To my siblings, Rashid and Maria, thank you for believing in me, and all those late night drives to Burger King to feed my hunger for my two passions to become a loving mother and completing my doctorate.
Acknowledgements: 
First and foremost, I must thank my heavenly father, who gave me the strength and courage to purse a Doctoral degree. This was one long journey with many obstacles, but thanks to my belief in God I was able to complete it. For that I am eternally grateful. There are no words to express how thankful I am to Dr. Melvin Hagan, my brilliant, patient and dissertation chair, and wonderful mentor, for all of his guidance. I could not have accomplished this educational endeavor without your professional expertise and your advice through the many stages of this dissertation. Your encouraging words and support and wisdom will never be forgotten; it all came at the right time during this amazing journey, and for that I am thankful. To Dr. Suzanne Richins and Dr. Patricia Thomas, my committee members I would like to take the opportunity to thank you both for all of your suggestions, encouragement, and speedy feedback. Additionally, I will like to thank and acknowledge my childhood friend Dr. Emma Duran for listening to my frantic outbursts and providing words of wisdom. Last but not least, I also like show gratitude to my good friend and sister from another mother my classmate Susan Ohnmacht. She was extremely supportive and giving of her time. Moreover, I am grateful for all of the late night conversations.