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Using Financial Education to Reduce Heart Failure Readmissions

<p> Heart failure readmissions place a significant financial burden on the healthcare system. Stakeholders of this system have utilized many approaches to reduce the number and costs of heart failure readmissions, without significant improvement. The purpose of this practice improvement project was to determine whether education on the financial impact associated with readmissions improved a patient&rsquo;s measured quality of life, encouraged adherence to a therapeutic regimen, and thereby reduced readmission rates in Medicare and Medicaid patients diagnosed with heart failure. Theoretical support is derived from the theory of self-care of chronic illness, which recognizes the complex self-care processes a patient with chronic illness negotiates. The project used a quantitative methodology with a pre-test/post-test design. A convenience sample was enrolled of 10 Medicare and Medicaid patients who had recurrent heart failure readmissions. The Minnesota Living with Heart Failure Questionnaire (MLHFQ) was used to collect pre/ post-intervention data which was then analyzed by two-tailed paired t-test. There was no statistically significant difference from the intervention to determine any impact on the participant&rsquo;s measured quality of life (<i>p</i> = .953; &alpha; = .05). However, none of the participants were readmitted during the 30 day period of this project. The findings indicate heart failure patients acknowledge their financial constraints but quality of life is not as impacted by finances as anticipated. Polypharmacy and uncertainty with managing daily regimens during symptom exacerbation were the greatest concerns. It is recommended that heart failure patient education should be persistent and individualized to address the patient&rsquo;s unique needs. </p><p>

Identiferoai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:13428351
Date20 February 2019
CreatorsLong, Jeannine Rochelle
PublisherGrand Canyon University
Source SetsProQuest.com
LanguageEnglish
Detected LanguageEnglish
Typethesis

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