Changes for page RCI by Domain

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94	94	===== (% style="line-height: 19.600000381469727px;" %)**__UNDERSTANDING YOUR RCI BY DOMAIN REPORT __**(%%) =====
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	96	+Next, we will move on to looking at the report and the information it conveys. Please see the sample report below for reference.
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	98	+(% style="line-height: 19.600000381469727px;" %)**__[[image:rci report - by domain.PNG]]__**
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	100	+Note initially that this is only the first page of the report. Because we selected 5 items when entering our parameters (of which Life Domain Functioning is the first alphabetically) it is elaborated on in this page. Each individual domain will occupy a separate page of your report.
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	102	+Note also that the instrument of our choice was CANS, but this report can apply to other instruments as well.
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	105	+Let's begin dissecting the report and the data it provides. Remember, again, that the RCI by Domain Report enables you to track and understand the progress of your clients with regards to their scores on particular assessment domains and items across OUs and two assessment reasons (essentially over time).
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	107	+
	108	+__Top__
	109	+
	110	+* the title of the report is featured prominently at the center of the first page
	111	+* many of the parameters you entered are also included for your ease of remembrance (this includes the period of time you indicated was of interest and the OUs you selected).
	112	+* also vital here is the two assessment reasons listed, as this is what provides the basis for any comparison.
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	114	+__Bottom__
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	116	+* your report includes a time stamp of the exact date and time the report was ordered
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	118	+__Middle (DATA)__
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	120	+* Because we selected Life Domain Functioning as a domain of interest, its data is provided for us
	121	+* We can see the number of clients in each OU that fell into the criteria we previously selected by adding the numbers in each row
	122	+* There will always be three columns on the bottom: one for decline, one for no change, and one for improvement
	123	+* The OUs you choose will be the ones that will be considered (e.g. Melbourne) alongside the items
	124	+* The graph above and numerical data below show the same data, except for the fact that the numerical information provides absolute quantities (i.e. exact number of clients) instead of just percentages
	125	+* However, the bar graph is often easier to understand and serves as a visual guide to your results. In fact, it has been color-coded to make the process easier:
	126	+** RED: the red bar represents the percentage of clients in that specific OU whose performance declined between the two assessments, meaning their scores went up (e.g. someone could have gotten a 1 for Life Domain Functioning on their initial assessment and then a 3 on Life Domain Functioning on their scheduled update).
	127	+** YELLOW: the yellow bar represents the percentage of clients whose performance stayed the same over the two assessments, meaning their scores remain unchanged
	128	+** GREEN: the green bar represents the percentage of clients in that specific OU whose performance improved between the two assessments, meaning their scores went down (e.g. someone could have gotten a 3 on Life Domain Functioning on their initial assessment and then a 1 on Life Domain Functioning on their scheduled update).
	129	+* Clearly, such data proves extremely useful when looking at a specific domain or item and how clients fared in relation to it. Looking at the data, someone in a supervisory capacity may look to see if, for a given item:
	130	+** are most clients improving, or at least staying the same?
	131	+** if one OU has a 90% green bar for Culture (i.e. lots of improvement is happening) and another one has 70% red, what differences exist between these two environments? Also, what can we do at the second OU to better emulate the practices and thus success of the first OU (thereby improving scores for the domain)?
	132	+** what about certain items and the differences between them leads to various levels of success?
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	134	+The ability for the RCI by Domain to allow for such questioning and analysis (and its ability to compare data across OUs) makes it an obviously powerful tool.
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