What was the reason for the research that was performed or for the data being collected?

Heathcare statistic | Nursing homework help

Introduction

Healthcare is an intricate and changing industry. It requires constant monitoring and evaluation in order to provide high-quality healthcare to its patients. Health care managers have a way to evaluate their facility’s performance by analysing health care statistics. We will be discussing the hospital-acquired disease (HAC) statistics. This includes the reason for gathering data, where it came from, how descriptive and graphic representations were used, research questions and significant results. Finally, how this information can help with decisions and improvements.

There are several reasons to collect data

A hospital-acquired disease (HAC) is an indicator of how many adverse events patients suffer while receiving hospital care. To reduce preventable HACs, in the Affordable Care Act (ACA), the Centers for Medicare & Medicaid Services implemented the HAC Reduction Program. This program is intended to encourage hospitals to lower their HAC rates. It does this by withholding some Medicare payments from hospitals performing poorly in comparison to others. HAC Reduction Program contains the following HACs

  1. Catheter-associated urologic tract infections (CAUTI).
  2. CLABSI is a central line-associated, bloodstream infection.
  3. Surgical site infection (SSI) following certain elective procedures
  4. Methicillin-resistant Staphylococcus aureus (MRSA) bacteremia
  5. Clostridium difficile infection (CDI)
  6. Hospital-acquired Pressure Injuries (HAPI).
  7. Falls and trauma that were hospitalized (HAF).

Data source

CMS has maintained the Hospital Compare website which contains data that can be used for the HAC statistics. This website offers information about the quality of American hospitals’ care. CMS receives information from hospitals about their HAC rates. The CMS then publishes the data to the website. You will also find information about other quality measures, such as readmissions, mortality and the patient experience.

Different types of descriptive statistics and graphical representations used

The Hospital Compare website uses descriptive statistics to summarise the HAC data. This includes measures like the mean, median and range as well as standard deviation. These statistics can also be displayed in graphic representations to show the HAC rates at individual hospitals, and compare them with the national average. The data is often represented by scatterplots or bar charts.

Important Findings and Research Questions

HAC Statistics seeks out to determine how many patients suffer adverse events in hospital. The significant findings from the HAC Reduction Program show that the rate of HACs has decreased since the program’s implementation in 2014. From 2014 to 2019, the rates of CAUTI and CLABSI declined by 14% each, respectively. However, some HACs have seen their rates increase or remain stable.

It is possible to use HAC statistics to determine the hospital’s performance in comparison to the overall national average. Hospital Compare provides scorecards for every hospital, which compare their HAC rate to the national standard. HAC Reduction program may penalize hospitals that do not perform as well as the national average.

What the information presented can do for your decision making or improvement

In many ways, the HAC statistic information can help inform decision-making and improvement. It can be used to help hospitals pinpoint areas that need improvement. If a hospital experiences high rates of CAUTI it might need to improve its protocols for catheter maintenance and insertion.

The HAC statistics can be used as a second tool to help you evaluate your performance.

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