App to use dataset of two YP-CORE scores each from same person

Explanation

This tables shows the data you uploaded plus the coding of that data.

• At the right of the table the coding gives you the CSC categories of the YP-CORE scores (if there were any.)
• YPscore1toCSC is the difference between the first YP-SCORE and the CSC for that age and gender.
• YPscore2toCSC is the same for the second YP-SCORE. These will get used in some plots later, see todo list!
• The search box is a very simple inclusive search so if you put '62' in there the table will reduce to showing you any rows of data that contain '62' anywhere including say a participant ID of 62 or a score of 1.62.
• The filter boxes at the top of each column allow you to search in that variable. They will often show you a a drop down list of the values that exist in the data.
• For the dates the search is of the stem you input so if you input '2024-04' it should show you all dates in April 2024.
• The filtering is a Boolean AND which is to say that you will get to see the rows that fulfil all the constraints you input.

This is work in progress!!

This is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Add buttons to download entire table as a file
• And buttons to download selected rows from the interactive datatable
• Probably have to add RCI at some point!

Searchable table of the data

Explanation

This is pretty indigestible but it gives all the summary statistics for all the variables across all clinicians. I think the naming of the statistics is pretty self-explanatory if not particularly easy on the eye.

Todo list

This is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Break this up into a series of tables with headings above each
• Rather laboriously (!) add percentages where they make sense
• Use flextable() to make it more digestible.
• Add button to download entire data behind the table as a file?
• Probably have to add RCI at some point!

The summary stats

Explanation

As with the 'Summary statistics' tab this is pretty indigestible and gives all the same summary statistics for all the variables across all clinicians. I think the naming of the statistics is pretty self-explanatory if not particularly easy on the eye.

Todo list

This is work in progress. Until such time as this is no longer true (when?!), this is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Add button to download entire table as a file.
• Think how it could be made more digestible.
• Perhaps add percentages but they will only make sense for some of the statistics
• Probably have to add RCI at some point!
• Will it be useful to people to have more comparative analyses comparing clinicians?

Summary stats by clinician

Explanation

This tab gives a histogram of the numbers of sessions attended

Todo list

This is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Put statistics into the plot, top right
• Add options to break down by clinician and perhaps by age, gender ...?
• Add options to count or add n(DNA), n(Cancelled) and n(Late)?
• Will it be useful to people to have more comparative analyses comparing clinicians?

The histogram

Here is the histogram of the numbers of sessions attended

Explanation

This tab gives a cat's cradle plot of the data

A cat's cradle plot ignores any respondent with only one usable score and shows the change in scores as a line. You can identify the points by hovering over them when you will see a 'tooltip' giving you the YP-CORE score, the respondent ID, therapist ID and the category of the CSC change.

Todo list

This is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Add options to break down by therapist, age, gender ...
• Buttons to download the plot

The cat's cradle plot

This is a so-called 'cat's cradle' plot. It shows all the complete pairs of scores coloured by gender with connecting lines. The dashed horizontal reference line marks the mean baseline score and the black points, offset somewhat from the individual points, mark the mean baseline and later scores. The vertical lines through those are the bootstrap 95% confidence intervals.

Explanation

This tab gives a cat's cradle plot against dates (if given)

This is very similar to the previous plot but the x axis is by date, not occasion. This gives a better picture of the work over time and Again, you can identify the points by hovering over them when you will see a 'tooltip' giving you the YP-CORE score, the respondent ID, therapist ID and the category of the CSC change.

Todo list

This is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Add options to break down by therapist, age, gender ...
• Buttons to download the plot

The plot

This shows all the complete pairs of scores coloured by therapist ID with connecting lines plotted against episode start and finish dates (if given). If you hover over a point you should be shown the respondent ID, gender and CSC change category.

Explanation

This tab gives a simple breakdown of the CSC categories: baseline, final and change counts

Todo list

This is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Probably have to add RCI at some point!
• Add options to break down by age, gender ...?
• Will it be useful to people to have more comparative analyses comparing clinicians?

The CSC tabulations

I can see that this might be a bit overwhelming at first sight. Play around with it and it will get familiar and you will learn which of these values are really of interest to you. The confidence intervals (CI) may be unfamiliar so you can ignore them at least first but they are useful as they indicate how we should see these observed rates as predictors of the likely long term values for your services. The larger the number of clients with data the better your observed values become as predictores of future values. For the background on CIs see this entry in my OMbook glossary and this page on my PSYCTC.org site

CSC analyses

Here is the breakdown of the initial CSC categories

And now the breakdown of the 2nd/final CSC categories

This is the crosstabulation of the first and 2nd/final categories (where you have both scores)

And this is the breakdown of the CSC classification changes (basically the crosstabulation above unwrapped).

RCI analyses

Now the breakdown of the RCI change categories

And finally: the full RCSC analyses

Crosstabulation of CSC and RCI change categories

Essentially the same unfolded with CIs

It is, of course, impossible to achieve clinically significant improvement if you start below the CSC for this reason people sometimes report the CSC restricting to the participants who start above the CSC. Here is RCS crosstabulation for that, censored, dataset.

The same unfolded with CIs

Explanation

This tab gives a scaled Jacobon plot

The Jacobson plot plots the 2nd/final score against the first. Points lying on the leading diagonal mark clients whose last YP-CORE score is exactly the same as their fist score. Points below the leading diagonal have lower last scores than their first scores, points above the leading diagonal, <i>vice versa</i>.

The 'tramlines' either side of the leading diagonal mark the RCI for the YP-CORE for that person's age and gender. As the scores have been rescaled here everyone, regardless of age or gender, has tramlines on 1 above or 1 below the leading diagonal. Points inside the tramlines mark people whose scores changed but less than the RCI (or RCC: Reliable Change Criterion), i.e. 'no reliable change'. Points below the lower tramline come from people whose YP-CORE scores improved more than the RCI and those above the upper tramline deteriorated more than the RCI.

The black vertical and horizontal lines mark the CSC. Points to the left of the vertical line started below the CSC, those to the right started above it. Similarly, points above the horizontal line finished above the CSC and those below it finished below the CSC

As in previous plots you can identify the points by hovering over them when you will see a 'tooltip' giving you the person's gender, age, first and last YP-CORE scores (not rescaled), the respondent ID and therapist ID.

Todo list

This is work in progress like everything else in this app. This is the todo list for this tab as I see it at this point

• Add options to colour the points by therapist, age, gender ...
• And perhaps facetting by those variables or to change the plot by those variables.
• Add buttons to download the plot.

The plot

Explanation

This app is definitely work in progress at the moment.

Overall todo list

This is the todo list for this tab as I see it at this point

• Better cross-referencing to supporting documents
• Ideally some recorded 'talk-you-through' pocasts?

App created 22.v.25 by Chris Evans at this point specifically for Oiatillo Temirov for checking his data. PSYCTC.org

Last updated 9.vi.25: Improvements to RCSC tables, added Jacobson plot.

Licenced under a Creative Commons, Attribution Licence-ShareAlike Please respect that and put an acknowledgement and link back to here if re-using anything from here.