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Blood Clot Prevention and Treatment Measures (Hospital Compare data as of April 2014)

(Discharges from January through June 2013)

Quality
Measures
Mease Countryside Hospital Mease Dunedin Hospital Morton Plant Hospital Morton Plant North Bay Hospital South Florida Baptist Hospital St. Anthony's Hospital St. Joseph's Hospital Winter Haven Hospital United States Avg. Top 10% Avg. Florida Avg.
Patients who got treatment to prevent blood clots on the day of or day after hospital admission or surgery 97%
  
99%
89%
  
94%
  
65%
  
88%
  
90%
  
73%
  
83%
  
98%
  
87%
  
Patients who got treatment to prevent blood clots on the day of or day after being admitted to the intensive care unit (ICU) 98%
  
100%
95%
  
98%
  
86%
  
93%
  
98%
  
93%
  
91%
  
100%
  
92%
  
Patients with blood clots who got the recommended treatment, which includes using two different blood thinner medicines at the same time 91%
  
79%
  
89%
  
86%
  
91%
  
77%
  
90%
  
95%
  
92%
  
100%
  
92%
  
Patients with blood clots who were treated with an intravenous blood thinner, and then were checked to determine if the blood thinner was putting the patient at an increased risk of bleeding 100%
N/A
  
100%
100%
100%*
  
100%
100%
100%
96%
  
100%
  
100%
  
Patients with blood clots who were discharged on a blood thinner medicine and received written instructions about that medicine 95%
  
94%*
  
89%
  
93%*
  
82%
  
93%
  
79%
  
72%
  
73%
  
100%
  
84%
  
Patients who developed a blood clot while in the hospital who did not get treatment that could have prevented it N/A
  
N/A
  
0%*
  
N/A
  
N/A
  
26%
  
7%
  
18%*
  
10%
  
0%
  
13%
  

The rates displayed in this graph are from data reported to the U.S. Department of Health & Human Services for discharges January through June 2013.

More recent data is also available reporting discharges from July 2013 to June 2014.

Key

Top Performance. At or above the U.S. Top 10 percent average.


Significantly higher than the U.S. average.


About the same as the U.S. average.


Significantly lower than the U.S. average. Click on the cell to read our Action Plan.
* Technical Note. The sample size is too small (less than 25) to apply significance testing.

N/A

No patients met the criteria for inclusion in the measure calculation.

Too Few Cases

The number of cases is too small to reliably tell how well a hospital is performing.



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