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examples of misleading statistics in healthcare


2023-09-21


As healthcare is so dominant in the news, I want to show an example of a confusing and misleading graph about a hospital. Given the importance of data in todays rapidly evolving digital world, it is important to be familiar with the basics of misleading statistics and oversight. The number of people aged 60 years or older will rise from 900 million to 2 billion between 2015 and 2050 (moving from 12% to 22% of the total global population). The second problem with having two vertical axes is that the two axes are on different scales, despite the fact that, in this case, they are representing the same measurement (daily number of cases). However, at the time this graph was published, many media publications interpreted the graph as if the deaths dropped, showing how damaging the misuse of graphs and numbers can be. In the sections that follow we will show two cases of widely disseminated data visualizations that (mis)represent the situation they are describing. If you follow all the steps mentioned above, you should be able to make a clear analysis and correct use of data. Registered in England & Wales No. The claim, which was based on surveys of dentists and hygienists carried out by the manufacturer, was found to be misrepresentative as it allowed the participants to select one or more toothpaste brands. It demonstrates the change in air temperature (Celsius) from 1998 to 2012. Which saw an increase of millions of visitors in just a couple of years, so far, everything looks normal. For example, starting the axes in a predefined value so that it will affect the way the graph is perceived to achieve a certain conclusion. Providing solely the percentage of change without the total numbers or sample size will be totally misleading. With the increasing reliance on intelligent solution automation for variable data point comparisons, best practices (i.e., design and scaling) should be implemented prior to comparing data from different sources, datasets, times, and locations. In critical scenarios such as a global pandemic, this becomes even more important as misinformation can lead to a higher spread and more deaths. We note that these examples come from the context of the United States as that is the context the authors are most familiar with, however, from scanning the news, these seem to be issues common across the world during this highly politicized global pandemic where peoples lives and politicians power are in danger.

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