How Do I Get All the Data on ONE Graph?

Purpose:
The communication of NDNQI data is a challenge. In a large comprehensive cancer center, the number of inpatient units reporting data was 19. The units were divided into 5 unit types for benchmark groups. The goal was to develop a report that showed all units and benchmarks on one graph.

Significance:
Numerous nursing groups and hospital committees review the NDNQI data and performance to benchmarks. Presentations are time-limited and need to be clear and concise. The ability to present all of the data on one graph provided for ease of display and communication of performance.

Strategy and Implementation:
The NDNQI outcomes data and benchmarks are reported quarterly to nursing staff and leadership forums as well as institutional committees such as Patient Safety. A format was developed based on a graphic representation of percent variance from the mean. This allowed for one metric to be displayed with all units on one slide regardless of the comparison group and different benchmarks for each. The point of 0 was used as the reference line for the benchmark display. The percent variance was calculated by (unit rate – benchmark mean rate/benchmark mean rate) x100. A score of 0 indicated the unit was performing at the mean. A score above 0 indicated that the unit rate was higher than the comparison group mean. A score below 0 (a negative score) indicated that the unit was performing better than the comparison group mean. A score of -100% reflected that the unit had zero events reported that quarter and was the lowest possible score. At a glance, all could assess performance.

Evaluation:
The graphic display of all units together provided a method of communicating data that could be shared in a brief overview of performance with institutional committees and nursing forums. Nursing staff could quickly see how their units were performing compared to benchmarks and other nursing units.

Implications for Practice:
Creative and novel approaches to sharing data that are easily understood by all are essentials tools for improving patient quality outcomes. It is time-saving to be able to use one graph for all different forums where the data may need to be reported. Everyone can understand above or below the line.