QI Tools: Pareto, cascade, and sorted bar charts

Example scenarios

A review of 24 encounters in order to identify the principle reason for not be in conformity with the desired outcome.

In this Pareto analysis, what proportion of nonconformity will be reduced if the most common cause is completed eliminated?
In this Pareto analysis, what proportion of nonconformity will be reduced if the two most common causes are completed eliminated?
In a Pareto analysis, what is the 'vital few' versus the 'trivial many'?
This is also stated as, 20% of sources leads to 80% of outcomes.

The same 24 encounters, but now more than one reason was allowed and counted for each encounter.

'Not PCP encounter' (bottom row) has risen to 9 occurrences because none of the non-PCP encounters documented reasons.
Why did the percentage due to 'No documentation' fall and "Not PCP encounter" becomes the most common reason? Do the percentages correctly identify the fractions of encounters?

The same scenario, but now a sorted bar chart is created.

When more than one reason was allowed to be counted per encounter, which type of chart is more helpful?

33 adult patients insured by Medicare who were seen for their annual wellness visits (AWV) with their primary care.

What appears to be the most important barrier to completing their pre-clinic survey online?

The same scenario, but now a cascade chart is created.

When the barriers happen in a time sequence, does this plot better identify opportunities?
Look at the relative drop at each step of the cascade. Every step loses over 50% of encounters!
Much more work to do than just get patients web-enabled.

QI Tools