Analysis of this chart shows which of the following?
A.
The variations represent chance events, not collectable sources of variation.
B.
The wound infection rate is under control and should be allowed to continue.
C.
The wound infection rate is out of control and evaluation is needed.
D.
The variations represent a common cause that is inherent in the system.
The Answer Is:
C
This question includes an explanation.
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In the Health Data Analytics domain, control charts are used to distinguish between common cause variation (normal system fluctuation) and special cause variation (abnormal variation requiring investigation).
In the chart shown, several points toward the end of the series approach or exceed the upper control limit (UCL) and display an upward trend beyond what would be expected due to random variation.
This pattern indicates the process is out of control, suggesting a special cause of variation such as a change in practice, infection control failure, or procedural deviation.
Therefore, the correct interpretation is that evaluation is needed to identify and correct the cause of this special variation.
[References:, NAHQ CPHQ Content Outline – Health Data Analytics: Control Charts, Process Variation, and Statistical Interpretation, NAHQ Healthcare Quality Competency Framework – Measurement and Analytics: Differentiating Common vs. Special Cause Variation, Key takeaway:When data points show a consistent trend toward or beyond control limits, the process is no longer stable — requiring root cause analysis and corrective action., , , ]
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