Difficulty: Medium

Average Score: 64%

A hospital administrator has observed excess readmissions… How should cluster analysis be used?

Rationale

Group readmitted patients by reason for readmission.

Cluster analysis is a statistical technique used to categorize data into distinct groups based on similarities. In the context of patient readmissions, this method enables the hospital administrator to identify patterns and commonalities in the reasons for readmissions, which can inform targeted interventions and improve patient care.

A (Test average performance between groups) YOUR ANSWER

This choice suggests comparing the average outcomes of different groups, which is not the primary objective of cluster analysis. Instead, cluster analysis focuses on categorizing data points into clusters rather than evaluating performance metrics or averages among pre-defined groups.

B (Test strength of relationship) YOUR ANSWER

Testing the strength of relationships typically involves correlation or regression analysis, which assesses how closely two or more variables are related. Cluster analysis does not inherently test relationships but rather seeks to identify groupings within data based on shared characteristics.

D (Random assignment) YOUR ANSWER

Random assignment is a methodology used in experimental design to ensure that participants are allocated to different groups randomly. This choice does not pertain to cluster analysis, which does not involve random assignment but instead relies on observed data to form clusters based on similarities.

Conclusion

Cluster analysis is a valuable tool for the hospital administrator aiming to understand the reasons behind patient readmissions. By grouping patients based on their readmission reasons, the administrator can uncover significant insights that lead to targeted strategies for reducing excess readmissions. The other options focus on unrelated statistical methods and do not align with the primary function of cluster analysis in this context.

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