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To solve the comparison problem with slopes, the possibilities of where the percentages were moving was calculated. It was surprising that the States only fell into 4 out of the 12 possible scenarios. Of course Bottom and Middle answers feeding their percentages into the Top is ideal and rated as #1. Worse case scenario would be for both the Top and Middle percentages to go into the Bottom. Now, the hospitals in each State can be ranked and incentive created to move into the #1 group. Arrows were provided to help the users see how their State's ratings are shifting.
2 and 3 are linked together. The words, "hospitals have made more progress than others" gives the indication that the user would like to compare hospitals to each other. The word "progress" suggests the top 2 areas of improvement for each hospital. The words "areas of opportunity" suggests the bottom 2 areas. Obviously, the questions with a higher percentage of answers in the Top-Box are doing better than those with less percentage. This is why percent averages over the Top-Box of all facilities in a State was used in the table for the top 2 and bottom 2 slots. The comparison lines were added to help guide the user in deciding which areas need the most work and give guidance on the direction of the recent actions taken. The obvious shift during Bidenomics/Covid era is an example of recent events.
The dataset listed hospital Id numbers but there was no way to combine that information with the state result table. Therefore, the analysis for the category of questions had to remain on the State level.
Here is a link to the working model: My Heath Care Report