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dc.contributor.authorCarey, Sandra Anneen_US
dc.date.accessioned2015-07-01T17:50:39Z
dc.date.available2015-07-01T17:50:39Z
dc.date.issued2014-12
dc.date.submittedJanuary 2014en_US
dc.identifier.otherDISS-12994en_US
dc.identifier.urihttp://hdl.handle.net/10106/24986
dc.description.abstractPurpose: There has been no significant improvement in heart failure (HF) readmissions regionally or nationally in the United States over the past decade. Additionally, there is no consensus nationally on defining the complex disease state of HF. This study retrospectively describes the accuracy of HF diagnoses in an adult HF patient population in a large metropolitan hospital setting. It also compares readmission rates between patients who were accurately diagnosed for HF versus those who were inaccurately diagnosed.Methods: A retrospective record review (N = 712) was performed at a large metropolitan health care center in North Texas from January 2012 to December 2012. Patients with a reported primary diagnosis for HF were reviewed. Key patient variables were collected and analyzed to determine diagnosis accuracy. Thirty-day readmission rates were compared between accurately versus inaccurately diagnosed patients. Additionally, predictors for readmissions for either HF or non-HF-related causes were described. Results: A total of 133 patients (18.7%) had a low probability of an accurate diagnosis. Additionally, having an inaccurate diagnosis was found to be predictive of being readmitted more frequently for non-HF causes (P = 0.018), as well as documented arrhythmias (P = 0.0230). Patient age > 60 years was predictive for non-HF (P = 0.0059) and HF (P = 0.0179) readmissions. Documented sleep apnea (P = 0.0350), percutaneous coronary intervention (P = 0.0059), non-white race (P = 0.0466), and B-type natriuretic peptide > 400 (P = 0.0066) were predictive for HF readmissions. Conclusions: In this cohort, 18.7% of patients admitted with a primary diagnosis of HF were determined to be inaccurately diagnosed. Moreover, an inaccurate diagnosis for HF resulted in patients being 2 times more likely to be readmitted for non-HF-related causes. An inaccurate diagnosis should be considered a determinant for all-cause readmissions in this patient population.en_US
dc.description.sponsorshipBarnes, Donelleen_US
dc.language.isoenen_US
dc.publisherNursingen_US
dc.titleAssessment Of The Accuracy Of The Diagnosis For Heart Failure In A Large Metropolitan Health Care Systemen_US
dc.typePh.D.en_US
dc.contributor.committeeChairBarnes, Donelle M.en_US
dc.degree.departmentNursingen_US
dc.degree.disciplineNursingen_US
dc.degree.grantorUniversity of Texas at Arlingtonen_US
dc.degree.leveldoctoralen_US
dc.degree.namePh.D.en_US


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