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Healthcare Associated Infections & Impact on Women’s Health

Garth Perry

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Bertelsmann Data School Hackathon 2018

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Hypothesis

Increased rates of healthcare acquired infections (HAIs) are positively correlated to increased healthcare death rates. By increasing the focus of hospitals on reducing HAIs, healthcare facilities can drastically reduce their death rates.

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Data Source - Data.Medicare.gov

https://data.medicare.gov/data/hospital-compare

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  • Medicare’s Hospital Compare Data Used to Analyze and Compare:
  • Complications & Deaths
  • Healthcare Associated Infections

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Course Tools Utilized

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  • Spreadsheet Data Visualization
  • SQL Joins, Data Cleaning
  • Statistical Distributions, STDV
  • No Python :(

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Data Variability

Healthcare Associated Infections (HAI)

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  • HAI Mean 2,184, STDV 3,203
  • Positive Distribution
  • n= 4,797

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Data Variability

Death Rates

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  • Death Rate Mean 9.3, STDV 5.3
  • Bimodal Distribution
  • n= 4,797

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Correlation

None

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  • Non-linear
  • Covariance = 6,228
  • Correlation, r = .367

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Conclusions

Hypothesis Unsupported With Provided Data

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  • HAI and Death Rate Data Need Further Analysis
  • Regional Variations Need Analysis
  • $1,000 USD Acquisition of Readmission Data Could Also Prove Useful (see supplemental information)

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Contributors Photo

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Supplemental Information

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  • Nationwide Readmissions Database (NRD) beginning with 2010 data: The NRD is drawn from the HCUP State Inpatient Databases (SID) and can be used to create estimates of national readmission rates for all payers and the uninsured, Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality (AHRQ).

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