The purpose of this presentation is to discuss successful data collection for the NDNQI Nurse Satisfaction Survey. The objectives of this session are to (1) list the steps involved in preparing for data collection, and (2) identify strategies based on Quality Improvement (QI) tools to improve nurse response rate. The session will provide knowledge to carry out successful data collection and improve the nurse response rate through examples and QI strategies.

Summary University Hospitals Case Medical Center has demonstrated success in collecting data for the NDNQI Nurse satisfaction survey. Our Nurse response rate improved from 56% in 2004 to 83.4% in 2005 and this change occurred due to the integration of QI strategies into our process of data collection. The "Plan Do Study Act" (PDSA) process framed the improvement project. A team was formed and included Champions, Staff nurses, Director of Nursing Practice, IT staff, NDNQI Coordinator, and Magnet coordinator. Team strategies incorporated were ground rules, effective meetings, knowledge of the psychology of change, and system thinking. During the Planning phase, a Cause and Effect diagram was created to understand the factors impacting successful data collection and the nurse response rate. A 4-month project plan, using a Gantt chart, was developed and included (a) a measurable goal and timetable, (b) meeting schedule (c) communication and marketing interventions, (d) incentives, and (e) dissemination of findings. The goal was to attain the NDNQI National average of a 67% response rate. The Do phase included IRB approval, computer set up, and marketing of the survey at all nursing and interdisciplinary meetings.  Personal incentives (chance at a raffle) and division level incentives (competition between units stimulated by visual progress charts) were implemented. Units added PRN staff to the schedule to cover patients while nurses completed the survey. The QI process continues with Studying the 2005 process and results and Acting on improvements for 2006. Clinical implications are that by improving the response rate, the opinion of a greater number of nurses is understood so that more meaningful changes can be made to improve nurse satisfaction and therefore improvement in clinical care.