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J Am Assoc Nurse Pract ; 32(11): 738-744, 2020 Nov.
Article in English | MEDLINE | ID: mdl-32740331

ABSTRACT

BACKGROUND: Heart failure (HF) affects over 6.5 million Americans and is the leading reason for hospital admissions in patients over the age of 65. Readmission rates within 30 days are 21.4% nationally, and 12% of those are likely preventable. Veterans are especially vulnerable to developing cardiac diseases requiring hospitalization and subsequent readmission. LOCAL PROBLEM: The Southern Arizona Veterans Administration Health Care System has over 5,600 patients diagnosed with HF and a 30-day readmission rate of 21.65%. The aim of this quality improvement project was to reduce 30-day all-cause readmissions by 1% over 8 weeks. METHODS: To reduce HF readmissions, the plan-do-study-act rapid-cycle method of quality improvement was used. INTERVENTIONS: A dedicated multidisciplinary HF clinic was formed with a cardiology nurse practitioner, clinical pharmacists, and a dietician. A veteran-centered shared decision-making tool for setting self-care goals was implemented. RESULTS: The readmission rate of patients seen in the multidisciplinary clinic (n = 33) was reduced by 0.2%. The percentage of veterans seen within 14 days increased from 30% to 54.5%. The average number of days between discharge and cardiology follow-up improved from 45 to 19 days. Veterans were able to set at least one self-care goal 87% of the time. Patient satisfaction with the multidisciplinary clinic was high at 93%. CONCLUSIONS: Implementing a dedicated, multidisciplinary HF clinic reduced readmissions, improved timeliness of visits, and was well received. Use of a veteran-centered patient engagement tool resulted in more veterans setting self-care goals.


Subject(s)
Heart Failure/complications , Nurse Practitioners/trends , Patient Readmission/statistics & numerical data , Quality Improvement , Aged , Arizona , Female , Heart Failure/nursing , Hospitalization/statistics & numerical data , Humans , Male , Middle Aged , Patient Readmission/standards , Quality Indicators, Health Care/statistics & numerical data , United States , United States Department of Veterans Affairs/organization & administration , United States Department of Veterans Affairs/statistics & numerical data
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