Healthcare statistics problem help

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In summary: This is calculated by taking the total number of inpatient service days (60,510) and dividing it by the total number of available beds (360), resulting in a percentage of 91.88%. This indicates that on average, the hospital's beds were occupied 91.88% of the time in 2009.
  • #1
Lspencer2121
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A hospital complied the following annual statistic for 2009 (non-leap year) (I am not coming up with any answer below)

January 1st-June 30th Inpatient service days 26510 Bed Count 160

July 1st-Dec 31st Inpatient service days 33910 Bed count 200

Dec 31 only Inpatient Service days 185 Bed count 200

Newborn
Jan-Dec Inpatient Service days 11500 Bed count 40

What is the total occupancy rate for 2009?
A. 91.88%. B. 92.15% C. 91.54% D. 93.66%
 
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  • #2
Re: Healthcare stastics problem help

I do not get any of the choices either. I am confused as to why December 31st is listed twice though. Are you certain the problem has been reproduced accurately here?
 
  • #3
Thanks for the help and taking a look. Yes, this is the exact problem. I'm not sure why the 31st is listed twice either but I will be sending an email to the teacher asking her about this problem. I think she has given the wrong choices to pick from. I'll let you know what she says once I receive her answer. Again thanks a million. I love this site and all the help I am receiving!
 
  • #4
Lspencer2121 said:
A hospital complied the following annual statistic for 2009 (non-leap year) (I am not coming up with any answer below)

January 1st-June 30th Inpatient service days 26510 Bed Count 160

July 1st-Dec 31st Inpatient service days 33910 Bed count 200

Dec 31 only Inpatient Service days 185 Bed count 200

Newborn
Jan-Dec Inpatient Service days 11500 Bed count 40

What is the total occupancy rate for 2009?
A. 91.88%. B. 92.15% C. 91.54% D. 93.66%

Using the first two rows of statistics (the others would result in double counting) gives 91.88%

,
 
  • #5


The correct answer is B. 92.15%.

To calculate the total occupancy rate, we need to first calculate the total number of inpatient service days for the entire year. This can be done by adding the inpatient service days for each period:

26510 + 33910 + 185 + 11500 = 72005

Next, we need to calculate the total number of available beds for the entire year. This can be done by adding the bed count for each period:

160 + 200 + 200 + 40 = 600

Finally, we can calculate the occupancy rate by dividing the total number of inpatient service days by the total number of available beds and multiplying by 100:

(72005 / 600) * 100 = 92.15%

Therefore, the correct answer is B. 92.15%.
 

FAQ: Healthcare statistics problem help

What are healthcare statistics?

Healthcare statistics refer to the collection, analysis, and interpretation of data related to the health, healthcare services, and outcomes of individuals and populations.

Why are healthcare statistics important?

Healthcare statistics help us understand the prevalence of diseases, the effectiveness of treatments, and the quality of healthcare services. They also inform healthcare policies and decisions, and aid in identifying areas for improvement in the healthcare system.

What are some common challenges in healthcare statistics?

Some common challenges in healthcare statistics include ensuring the accuracy and reliability of data, dealing with missing or incomplete data, and accounting for potential biases in the data collection and analysis process.

What skills are needed to work with healthcare statistics?

Proficiency in statistical analysis and data interpretation, as well as knowledge of healthcare systems and policies, are essential skills for working with healthcare statistics. Strong critical thinking and problem-solving abilities are also important.

How can healthcare statistics be used to improve healthcare outcomes?

By analyzing healthcare statistics, we can identify patterns and trends in disease prevalence, treatment effectiveness, and healthcare utilization. This information can be used to inform healthcare policies, develop targeted interventions, and ultimately improve healthcare outcomes for individuals and populations.

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