Download presentation

Presentation is loading. Please wait.

Published byAbigayle Harwood Modified over 2 years ago

2
This presentation provides some guidance on how to interpret the tables and graphs provided in your Clinical Indicator Trend Report. Most indicators have a desirable outcome that is specified as being either high (H) or low (L). The remainder are unspecified (N). Indicators are allocated a Not Specified (N) level where the impact of this measure on clinical outcomes remains unknown. For example: 5.1 Pain intensity scores recorded for surgical patients with LOS ≥1 day (H) 3.5 Unplanned stay in recovery room >2 hours for medical reasons (L) 3.1 Malignancies diagnosed at colonoscopy (N)

3
The following symbols are used to flag unusually high or low rate results and to flag trends in rates. A rate is considered unusual when the cumulative excess is more than 5 standard deviations from the expected cumulative excess, that is, from zero.

4
Means an improving trend Means a deteriorating trend Arrows ( , , , , , ) indicate a statistically significant trend The absence of a trend arrow means that the change over time (as indicated by a line of best fit) does not reach statistical significance. H means the desirable rate is high and this organisation’s rate is significantly higher (better) than the average rate H means the desirable rate is low and this organisation’s rate is significantly higher (poorer) than the average rate L means the desirable rate is high and this organisation’s rate is significantly lower (poorer) than the average rate

5
Symbol if the trend is statistically significant Total number of submissions from 2009 to 2012 Number of submissions that were in the best or poorest 20% of rates submitted for this indicator

6
Your organisation’s rate 20 th centile rate - 20% of HCOs lie below this rate Average rate 80 th centile rate -- 20% of HCOs lie above this rate Excess is the number of events in excess of expected. (The number that would not have occurred if the HCO had the average rate). Cumulative excess is the excess over successive periods. Adding the data reveals underlying differences that may not be apparent in a single data submission.

7
Data plotted in a graph Where there were four or more submissions the data are plotted in a graph. The fitted line is based on a logistic model, so it may be curved. It is possible that in the earlier years of reporting when our data cleaning process was not as effective as now, some aberrant data points may be apparent in the plot.

8
8 Guide to Interpreting your Clinical Indicator Trend Report – Q&As Refer to Clinical Indicator 1.4 (ED ATS Category 1.4) above Question. What do the symbols L and mean? (in combination) Answer. It means that for this indicator, this organisation’s rate is significantly poorer than the average but it has been improving over time.

9
The desirable rate for this indicator is Low. This organisation’s rate is significantly poorer than the average and it is improving. Q. What do the overall, 20 th and 80 th values imply? A. The overall is relatively constant however there is a large degree of variation among HCOs highlighted by the gap between the 20 th and 80 th centiles

10
Text from this organisation’s report : There were 11 data submissions between 2007 and 2012. The rate was in the higher 20% of rates in 5 of the submissions. There was a deterioration in the fitted rate from 0.41 in 2007 to 4.2 in 2012, an increase of 3.8 per 100 admissions.

11
Q. Please comment on the trend A. This organisation’s rate was initially high and had suddenly and dramatically deteriorated since 2009. Consider what has happened in the last four years to cause a deterioration in performance. The figures and data collection processes should be reviewed to ascertain the causes.

12
Q. What do these figures tell you? A. This organisation has scored a perfect 100% rate for each data submission. It is unlikely that this is the case in reality and data collection processes should be reviewed.

Similar presentations

OK

Hypothesis Testing Introduction to Statistics Chapter 8 Feb 24-26, 2009 Classes #12-13.

Hypothesis Testing Introduction to Statistics Chapter 8 Feb 24-26, 2009 Classes #12-13.

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

Ppt on file system interface Ppt on marine diesel engines Ppt on recycling of waste material Ppt on sound navigation and ranging systematic Ppt on unemployment in india download Ppt on rbi reforms definition Ppt on anti poverty programs in india Ppt on new invention of computer technology Ppt on point contact diode construction Ppt on types of life insurance