Why healthcare managers prefer graphical representation of data instead of numerical data used in their decision-making process

 

 

 

Discuss why healthcare managers prefer graphical representation of data instead of numerical data used in their decision-making process. Which graphical method or type of chart would you use to demonstrate side-by-side comparison: Readmissions for the last 10-year period and a superimposed trend line showing increase/decrease readmissions? What are merits and demerits of this type of data representation? Develop a visual representation example to illustrate your answer. Create a basic data set table for no more than 10 lines to use as the visualization base. Make sure to clearly label the columns and lines.

Which type of visual representation would you use to present proportions of three readmission causes to the management: early discharge, infections, and non-compliance. What are the advantages and limitations of this method for data visualization?

Sample Solution

Healthcare managers often prefer graphical representations of data over purely numerical data due to their ability to:

  • Enhance Comprehension: Visuals make complex data more accessible and easier to understand, particularly for those who may not be statistically inclined.
  • Identify Trends and Patterns: Graphs and charts can quickly reveal trends, outliers, and patterns that might be obscured in numerical tables.
  • Facilitate Communication: Visuals are more effective for communicating insights to diverse audiences, including clinicians, administrators, and stakeholders.
  • Support Decision-Making: Visualizations can provide a clear and concise overview of key performance indicators, enabling managers to make informed decisions.
  • Increase Engagement: Visuals are more engaging and memorable than raw numbers, which can improve information retention.

Side-by-Side Comparison: Readmissions Over 10 Years

To demonstrate side-by-side comparisons of readmissions over a 10-year period with a superimposed trend line, a line graph would be the most suitable.

Data Set Table:

Year Readmissions
2014 120
2015 135
2016 150
2017 140
2018 165
2019 175
2020 190
2021 205
2022 215
2023 225

Visual Representation Example (Conceptual Description):

  • The X-axis would represent the years (2014-2023).
  • The Y-axis would represent the number of readmissions.
  • A line would connect the data points, showing the annual readmission rates.
  • A second line would be superimposed, showing the trend line. This line could be a linear regression line.

Merits and Demerits:

  • Merits:
    • Clearly shows trends over time.
    • Easy to identify increases or decreases in readmissions.
    • The trend line provides a visual representation of the overall direction of change.
  • Demerits:
    • May oversimplify complex data.
    • Can be misleading if the trend line is extrapolated too far.
    • Does not show the cause of the readmissions.

Presenting Proportions of Readmission Causes:

To present the proportions of three readmission causes (early discharge, infections, and non-compliance), a pie chart or a stacked bar chart would be effective.

Advantages and Limitations of a Pie Chart:

  • Advantages:
    • Simple and easy to understand.
    • Clearly shows the relative proportions of each category.
    • Effective for presenting data with a small number of categories.
  • Limitations:
    • Difficult to compare categories when there are many slices.
    • Not suitable for showing changes over time.
    • Hard to compare small differences in size between slices.
  • It does not show the actual number of readmissions, only the proportion.

Advantages and Limitations of a Stacked Bar Chart:

  • Advantages:
    • Allows to show the total number of readmissions, and the proportion of each cause.
    • Easier to compare proportions between different groups.
    • Can display more categories than a pie chart.
  • Limitations:
    • Can be difficult to compare the size of non-adjacent segments.
    • Requires clear labeling to avoid confusion.
  • It can become cluttered with too many categories.

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