Data Analysis on the Rate of Heart Failure Admission Essay

Excerpt from Essay :

Heart Failure Admission

The project carries out the CCIP (Chronic Care Improvement Program) to alleviate the heart problem of people suffering from heart failure. The time frame of the program is within 6 months between January 1, 2015 and June 30, 2015. The total population consist of 1,606 people, and out of all the 1,606 target population enrolled for the program, 0 is the numerator and the denominator is 45. Thus, 45 participants are eligible to receive program interventions. Based on the results of the PBP (Plan Benefit Package), the inpatient PBP 002 diagnosed for heart failure are 1,606 target population and the care management declined by 5% in 2014, representing a total reduction of 5% compared to 7% reduction 3 years ago.

In the additional intervention of the program, the target population selected are 1,606, where 1 meets the inclusion criteria and 11 participants are eligible to receive the program intervention. The goal of 7% reduction achieved 3 years ago was not achieved in 2015 since 5% reduction was achieved in 2015.

Added intervention reveals that 11 PBP 002 members of the CCP population has been diagnosed for the heart failure (HF)who have been enrolled within the first 6 months of 2015. The key aspect of the results is that out of the 45 CCIP BBP 002 in the Care Management Records for the first 6 months in 2015, 22(46%) had demonstrated the evidence of accepted care planning. Moreover, out of 10 CHF members, 7(70%) had more than one goals completed.

Typically, the goal of heart failure diagnosed reduction has not been achieved because results carried out within 6 months in 2015 reveals 0% reduction compared to 5% reduction of annual report carried in 2014. The results also reveal that year 3 goal was not met since it was anticipated that there would be 7% in reduction in admissions. Thus, the paper, suggests that there is a need to carry out a comprehensive plan to provide more health education to assist patients to enhance a lifestyle change and adhere to effective medication plan.

STUDY B

The time frame used to carry out the program was within 6 months between

January 1, 2015 and June 30, 2015.The target population are 156 people with chronic heart failure. However, out of all the 156 target population enrolled for the program, the inclusion criteria are 0 since the numerator is 0…

Sources Used in Document:

The Study C discusses the rate of the Inpatient Admission for PBP 017 who have been diagnosed with heart failure. Patients accepted the care management declined from 4.57% in 2014 to 3.36% in the first 6 months of 2015 between January 1, 2015 and June 30, 2015. The target population is 20,021 where the numerator is 2, who are the member meeting the inclusion criteria. However, the denominator is 27, which are the people eligible to receive program intervention. Compared to the goal of 2 years ago, the results represent a total reduction of 1.21%. Nevertheless, the results of 2014 was better than the results obtained in the first 6 months of 2015 because the admission rate increased in 2015 than 2014. The results reveal that the benchmark was not achieved because it was anticipated that the admission rates of 2015 will decline to what was achieved in 2014. The added intervention revealed that out 27 Members who did not have a dispensing event for the beta-blocker, the records was able to review 8(30%) and 2 Member had LVEF of less than 40.

STUDY D

The program was carried out within first 6 months of 2015 between January 1, 2015 and June 30, 2015. The target population is 20,545, where the numerator is 7 and denominator is 638. The program reveals the rate of Inpatient Medicare Advantage Member who have been diagnosed for heart failure. The Inpatient admission was reduced by 2.19% in 2014 based on the CMS annual report, however, the rate of admission reduced to 1.10% in 2015 between January 1, 2015 and June 31, 2015 representing a 1.09% reduction since last years compared to 5% admission rate reduction in the last 3 years. However, 2012 base line was 16.71%. The results reveals that 2015 benchmark was not met because a reduction of admission was 1.10% in 2015, which was lower than admission rates in 2014, 2013, and 2012.

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