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Discussion: Data Collection and Statistical Tools Shewhart’s Theory for Statistical Process Control (SPC) requires a change in thinking from error detection to error prevention and has a number of...

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Discussion: Data Collection and Statistical Tools

Shewhart’s Theory for Statistical Process Control (SPC) requires a change in thinking from error detection to error prevention and has a number of benefits in health care. Several of the benefits include patient focus, increased quality awareness, decisions based on data, implementing predictable health care processes, reduced costs, fewer errors resulting in increased patient safety, and improved processes that result in improved health care outcomes and better quality care. However, every process varies. In SPC terminology as it relates to a control chart, a common cause variation does not suggest that a process functions at a desirable or undesirable level, but whether the nature of the variation is stable or predictable within certain limits. A special cause variation is a negative finding, and any changes made in a health care organization should not be made until it identifies and eliminates special causes. A control chart will tell a health care organization if a variation is a common or special cause and how to approach an improvement process. If it is a special cause the health care organization should investigate it and eliminate the variation, not change the process. If there is a common cause variation, the implementation of a process change is what will address the variation. Control charts will reveal whether the change was effective (Joshi et.al, 2014).

In this Discussion, you will look at these statistical tools for quality improvement and describe the differences between common cause variation and special cause variation. You will also explain any ethical, legal, or moral obligations that would support your rationale.

To prepare:

Reviewthe Learning Resources for the week as they relate to Statistical Process Control, common cause, and special cause variation.

Readthe following situations and determine whether each situation is a common cause variation or a special cause variation:

  1. Dispensing the wrong medication to a patient
  2. Dispensing the correct medication several hours after it was supposed to be dispensed

For both of these examples, apply data-collection and statistical tools to measure and explain your rationale for your determination.

Note:For this Discussion, you are required to complete your initial post before you will be able to view and respond to your colleague’s postings. Begin by clicking on the “Post to Discussion” link and then select “Create Thread” to complete your initial post. Remember, once you click submit, you cannot delete or edit your own posts, and cannot post anonymously. Please check your post carefully before clickingSubmit!

By Day 3

Posta cohesive response to the following:

Post your analysis for each example of common cause error or special cause error. Explain any ethical, legal, or moral obligations that would support your rationale.

Support your response by identifying and explaining key points and/or examples presented in the Learning Resources.

Answered Same Day Dec 25, 2020

Solution

Dr Khalid answered on Dec 26 2020
149 Votes
Discussion – data collection and statistical tools
Page | 2
1. Dispensing a wrong medication is based on e
ors in prescription, ordering, documentation, transcription, dispensing, administering, and monitoring of the pharmacotherapeutic prescriptions (Bhimji & Sche
ak, 2018). The dispensing e
or is indeed a common cause variation since this type of e
or or inconsistency varies i
egularly in accordance with the efficiency and functionality of the health care system. Furthermore, the probabilistic determination of the dispensing e
or is feasible through the utilization of statistical tools including the control chart matrix and Pareto chart. The Shewhart control chart effectively recognizes the special cause variations in the context of giving an insight into the common cause variation (like medication dispensing e
ors) (Neuhauser, Provost, & Bergman, 2011). Medication dispensing e
ors emanate from intrinsic causes that might not be completely controlled within the clinical practice environment. This outcome indicates that the nullification of the common cause variation (i.e. dispensing e
or) is impossible; however,...
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