Translating data presentation pilot results into practice Staff perceive awareness of HAI data as being able to promote dialogue among staff and impact infection prevention compliance in the area where area/unit-specific HAI data are presented. They also believe that if their fellow staff members improve their infection practices, lower HAI rates will result. HAI data desires Reality Next steps could include (examples) Area/unit-specific HAI data are perceived as Continue presenting HAI data that have been valid and reliable but not always timely. validated. Data are difficult to not only present data Set and meet reporting expectations (IP provides Staff want real time, continually, but it is also difficult to capture quarterly HAI rate data to the unit manager while the valid HAI data the necessary information quickly. unit manager is responsible for monthly updates of specific to their Infection preventionists (IPs) have days since last infection). area/unit. competing priorities that may not allow them Strategize how to incorporate non-IP staff and/or time to focus on the customization of HAI electronic medical systems to help collect, customize, data for each area/unit and audience. and disseminate data. Counts of HAIs are easy to understand but Ask your various audiences to describe helpful data may not be as meaningful as rates. metrics. HAI metrics can be complicated (such as Use visual comparisons (graphs, coding, SIRs and rates) and it may take time to comparison to benchmarks) whenever possible to educate the receiving audience about how to help explain the more complicated metrics. Staff want data that interpret the metrics. If using colors as indicators, make sure either color are both easy to perceive color coding (such as using copiers are used and/or there are additional indicators understand and red to indicate an area for improvement) and (shades of gray or different shapes) when printed in useful. comparison data (such as to a national black and white. benchmark) to be the easiest to understand and the most useful followed by HAI rates and number of HAIs. Many units may not have color copiers. HAI data desires Reality Next steps could include
Translating data presentation pilot results into practice Staff perceive awareness of HAI data as being able to promote dialogue among staff and impact infection prevention compliance in the area where area/unit-specific HAI data are presented. They also believe that if their fellow staff members improve their infection practices, lower HAI rates will result. HAI data desires Reality Next steps could include (examples) Staff want real time, valid HAI data specific to their area/unit. Area/unit-specific HAI data are perceived as valid and reliable but not always timely. Data are difficult to not only present data continually, but it is also difficult to capture the necessary information quickly. Infection preventionists (IPs) have competing priorities that may not allow them time to focus on the customization of HAI data for each area/unit and audience. Continue presenting HAI data that have been validated. Set and meet reporting expectations (IP provides quarterly HAI rate data to the unit manager while the unit manager is responsible for monthly updates of days since last infection). Strategize how to incorporate non-IP staff and/or electronic medical systems to help collect, customize, and disseminate data. Staff want data that are both easy to understand and useful. Counts of HAIs are easy to understand but may not be as meaningful as rates. HAI metrics can be complicated (such as SIRs and rates) and it may take time to educate the receiving audience about how to interpret the metrics. perceive color coding (such as using red to indicate an area for improvement) and comparison data (such as to a national benchmark) to be the easiest to understand and the most useful followed by HAI rates and number of HAIs. Many units may not have color copiers. Ask your various audiences to describe helpful data metrics. Use visual comparisons (graphs, coding, comparison to benchmarks) whenever possible to help explain the more complicated metrics. If using colors as indicators, make sure either color copiers are used and/or there are additional indicators (shades of gray or different shapes) when printed in black and white. HAI data desires Reality Next steps could include