Statistically Reliable and Clinical Change calculator and display graph utility: this is a simple to use tool for physicians, students, academics, psychologists, ...
Statistically Reliable and Clinical Change calculator and display graph utility: this is a simple to use tool for physicians, students, academics, psychologists, physiotherapists and clinical auditors. It will help to evaluate outcomes for patients or performance (improvement/deterioration) for participants who complete standardized psychometric measures at baseline and end of treatment/course/trial or research. An essential and user-friendly tool to evaluate single or multiple subjectsâ€™ outcomes, when carrying out audit, clinical trials, research and/or wishing to assess the effectiveness of an intervention. In the â€˜Dataâ€™ tab, simply enter your subjectâ€™s score at baseline and end of treatment/program/intervention for as many subjects (minimum one subject) as required. In the â€˜RCIâ€™ tab, apply the details of your psychometric measure and select whether your measure is negatively (i.e. bigger score, bigger problem/pathology) or positively (i.e. larger score = larger improvement/health) tuned. If you select â€˜Show data pointsâ€™, the graph will display a small triangle where the currently selected case is displayed (should you have more than one case). We have also added (in case you look at large number of cases) a 'Mean Scores' button to help you working out whether, on average, your service/data/participants have made an overall significant change. This point will be displayed by dotted lines crossing over on the graph when this function is switched on. Simply click on the â€˜Display resultsâ€™ tab and this App will plot a â€˜tramlineâ€™ display showing you whether the subject has obtained reliable (statistically significant) change by three different criteria. If the subject is outside of the dotted â€˜tramlineâ€™ the change is reliable. The change is statistically significant depending on which criterion you choose (distance from the mean of a clinical or non-clinical population, or the average of the two, based on Jacobson & Truax, 1991 scientific paper). Below the graph you also have the cut-off scores for the three different criteria, Standard Error of Measurement and of the Difference, as well as the Reliable Change Index (Anything > 1.96 is significant at the 95% confidence level). View on your device or copy/email the graph to copy and paste in presentation, documents, research papers and audit. More details on the Jacobson & Truax ideas can be found on the Leeds University website: http://www.leeds.ac.uk/lihs/psychiatry/dclin/rcic.html
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Day of release: 0000-00-0