US HAI Infections by State

Investigating Prevalence and Prevention of Healthcare-Associated Infections

About this dataset

This dataset provides a comprehensive overview of Healthcare-Associated Infections (HAIs) across all US states. Spanning multiple subspecialty areas such as central lines and urinary catheters infections, HAIs can be devastating to patient care and outcomes. The data within this set is collected by the Centers for Disease Control and Prevention (CDC) through the National Healthcare Safety Network (NHSN). It contains information on infection rates along with other important data such as measure names, scores, footnotes and measure start & end dates. This dataset presents us with an opportunity to better understand the prevalence of HAIs on a state level in order to improve patient safety measures that are used in hospitals nationwide

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How to use the dataset

This dataset provides valuable insights into healthcare-associated infections (HAIs) across the United States. By understanding which states have higher rates of HAIs, we can better understand the overall state of health care in the country.

To get started using this data set, take a look at some of the columns included: Measure Name, Score, Footnote and Measure Start and End Date. The measure name will give you an overview of what type of infection is being measured in each state. Each measurement has an associated score that tells you how well each state is doing with respect to other states when it comes to preventing these infections from occurring. The footnote gives more information about specific details surrounding that particular HAI measure for that state (for instance, if all or only some hospitals are included in the measure). Finally, the start and end dates tell you when the measure began and ended in regards to data collection for each state.

Once you have explored some of these columns, start looking deeper into what data points each column contains - such as which states have a high number of infections related to surgical procedures compared to others who don't? Thinking critically about this data will reveal trends amongst different states and how they compare when it comes to providing quality health care services within their facilities.

By exploring these trends further with visuals such as charts or graphs, you can better determine which areas need improvement so that we may develop preventative measures against further incidences occurring in hospitals across all US states

Research Ideas

Creating a state-by-state map of healthcare-associated infection rates in order to identify which states have the highest and lowest rates of HAIs.

Developing a predictive model to determine the likelihood of an infection in a particular hospital based on data from all the other hospitals in the same state, allowing hospitals to adjust their safety protocols accordingly.

Constructing an infographic displaying different points picked up within this dataset such as what are common sources of infection, breakdowns by states and types, etc

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: Open Database License (ODbL) v1.0

You are free to:

Share - copy and redistribute the material in any medium or format.

Adapt - remix, transform, and build upon the material for any purpose, even commercially.

You must:

Give appropriate credit - Provide a link to the license, and indicate if changes were made.

ShareAlike - You must distribute your contributions under the same license as the original.

Keep intact - all notices that refer to this license, including copyright notices.

No Derivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.

No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Columns

File: Healthcare_Associated_Infections_-_State.csv

Column name	Description
State	The state in which the measure was taken. (String)
Measure Name	The name of the healthcare-associated infection measure. (String)
Score	The score of the measure, which reflects the success of the state in preventing or controlling the infection. (Integer)
Footnote	Additional information about the measure, if available. (String)
Measure Start Date	The date the measure was active. (Date)
Measure End Date	The date the measure ended. (Date)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Health.

Tables

Healthcare Associated Infections State

@kaggle.thedevastator_us_hai_infections_by_state.healthcare_associated_infections_state

19.44 KB
1344 rows
8 columns


CREATE TABLE healthcare_associated_infections_state (
  "index" BIGINT,
  "state" VARCHAR,
  "measure_name" VARCHAR,
  "measure_id" VARCHAR,
  "score" DOUBLE,
  "footnote" VARCHAR,
  "measure_start_date" TIMESTAMP,
  "measure_end_date" TIMESTAMP
);