Which measure is typically plotted on the y-axis of a run chart?

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Multiple Choice

Which measure is typically plotted on the y-axis of a run chart?

Explanation:
In a run chart, the y-axis is designated for the measure that is being tracked over time. This allows for a visual representation of changes, trends, and variability associated with that specific measure. The key measure is a primary focus in quality improvement efforts and is often used to monitor the impact of changes implemented in a process. By displaying the key measure on the y-axis, stakeholders can easily assess performance and identify patterns or shifts that may require further investigation or action. The other measures listed, such as total costs, staff performance, and patient demographics, can certainly be important in various contexts, but they do not serve as the fundamental focus of a run chart in the same way that a key measure does. Using a key measure on the y-axis enables teams to concentrate their improvement efforts on aspects that are crucial to achieving better outcomes, making it easier to visualize data over time and interpret results effectively.

In a run chart, the y-axis is designated for the measure that is being tracked over time. This allows for a visual representation of changes, trends, and variability associated with that specific measure. The key measure is a primary focus in quality improvement efforts and is often used to monitor the impact of changes implemented in a process. By displaying the key measure on the y-axis, stakeholders can easily assess performance and identify patterns or shifts that may require further investigation or action.

The other measures listed, such as total costs, staff performance, and patient demographics, can certainly be important in various contexts, but they do not serve as the fundamental focus of a run chart in the same way that a key measure does. Using a key measure on the y-axis enables teams to concentrate their improvement efforts on aspects that are crucial to achieving better outcomes, making it easier to visualize data over time and interpret results effectively.

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