Paper
Monday, November 14, 2005
This presentation is part of : Models and Outcomes for Education and Practice
Care Delivery Model Evaluation & Implications
Linda Urden, DNSc, RN, CNA, FAAN, Palomar Pomerado Health, Poway, CA, USA
Learning Objective #1: Describe the differences between a registered nurse/non-licensed staff care-delivery model and an all-RN staff care-delivery model
Learning Objective #2: Delineate strategies to integrate staff into data-driven, evidence-based decision making regarding professional practice

EVALUATION OF INTERMEDIATE CARE UNIT CARE DELIVERY MODEL

The purpose of this study was to determine the differences between a Registered Nurse/non-licensed staff care model and an all-RN staff care model. Specific research questions were: 1. Is there a difference between a Registered Nurse/non-licensed staff care model and an all-RN staff care model in the work environment for RNs in the areas of nurse satisfaction, professional practice, autonomy, quality of care, MD collaboration, and professional relationships? 2. Is there a difference between an RN/non-licensed staff care model and an all-RN care model in patient perceptions of satisfaction with nursing care? 3. Is there a difference between an RN/non-licensed staff care model and an all-RN care model in the area of nurse-sensitive outcomes? 4. Is there a difference between an RN/non-licensed staff care model and an all-RN care model in the area of costs and expenses?

A descriptive design was used in order to collect data at baseline (before start of all-RN staff care/implementation), six months and one year post implementation. Overall nurse satisfaction was measured by using subscales from two pschometrically-established instruments; RN/MD collaboration and nurse burnout were also evaluated. Contextual, structural & outcome data (patient satisfaction, nurse-sensitive outcomes, cost/expenses) were collected using the organization's routine collection procedures & reports. The convenience sample consisted of RNs who provide direct patient care on an Intermediate Care Unit. Findings will be reported along with wisdom gained from staff collaboration in the design and implementation of the model. Strategies to promote data-driven decision making will be discussed.