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1.
J Clin Nurs ; 27(19-20): 3554-3560, 2018 Oct.
Article in English | MEDLINE | ID: mdl-29943481

ABSTRACT

AIMS AND OBJECTIVES: To explore hospitalised heart failure (HF) patients' self-care decisions. BACKGROUND: Heart failure self-care is integral to maintain and manage health, and may prevent unnecessary HF hospitalisations. Nevertheless, self-care remains challenging for patients, and using vignettes offer a new perspective to understand patient HF self-care decision-making. DESIGN: This qualitative descriptive analysis was conducted as part of a mixed methods study. METHODS: We conducted semi-structured interviews (N = 20) to elicit patient decisions about self-care in responses to three vignettes, which varied in symptom severity. Content analysis was used to extract quotes describing participant responses. RESULTS: Participants were on average 60 years old, primarily male, African American, unemployed and highly symptomatic (NYHA Class III or IV). Overall, participants were able to identify when symptoms required a decision to seek urgent medical attention, but had difficulty identifying the appropriate decision to make in response to less acute symptoms such as swelling. CONCLUSIONS: Symptoms other than shortness of breath were challenging for patients to interpret and manage appropriately. Understanding how to apply HF knowledge to alleviate symptoms was also difficult. RELEVANCE TO CLINICAL PRACTICE: Vignettes may be a helpful tool to prompt patient-healthcare provider communication about self-care management and prompt discussions about appropriate self-care decisions in response to varying levels of symptom severity.


Subject(s)
Heart Failure/therapy , Narrative Medicine , Self Care , Aged , Decision Making , Female , Heart Failure/diagnosis , Heart Failure/psychology , Humans , Male , Middle Aged
2.
J Cardiovasc Nurs ; 33(1): 30-39, 2018.
Article in English | MEDLINE | ID: mdl-28574972

ABSTRACT

BACKGROUND: Rehospitalization soon after discharge can be distressing for persons with heart failure (HF) and places a heavy burden on the healthcare system. OBJECTIVE: We investigated and explored the association of self-care decision making variables with (1) rehospitalization within 30 days of discharge and (2) delay in seeking medical assistance (delayed decision making). METHODS: A cross-sectional, explanatory sequential mixed methods design (quan > qual) was used to survey 127 hospitalized HF patients and interview 15 of these participants to explain their survey responses. The survey assessed rehospitalization within 30 days of discharge, delayed decision making, HF self-care, and psychosocial factors influencing self-care. RESULTS: The likelihood of delaying the decision to be hospitalized was more than 5 times higher among those with high depressive symptoms (odds ratio, 5.33; 95% confidence interval, 2.14-13.28). Those who delayed going to the hospital were uncertain about their prognosis and did not feel their symptoms were urgent. The likelihood of being rehospitalized within 30 days was more than doubled among those with high depressive symptoms (OR, 2.31; 95% confidence interval, 1.01-5.31). Those who were rehospitalized within 30 days were less likely to consult healthcare professionals in their decision making and wanted immediate relief from their symptoms. CONCLUSIONS: We recommend a patient-centered approach to help HF patients identify and adequately self-manage symptoms. The strong association between high depressive symptoms and rehospitalization within 30 days as well as delayed decision making highlights the critical need for clinicians to carefully assess and address depression among HF patients.


Subject(s)
Decision Making , Depression/psychology , Heart Failure/psychology , Heart Failure/therapy , Patient Acceptance of Health Care , Patient Readmission , Self Care , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Socioeconomic Factors , Time Factors
3.
J Card Fail ; 23(3): 252-256, 2017 Mar.
Article in English | MEDLINE | ID: mdl-27742454

ABSTRACT

BACKGROUND: There are few data describing patient-identified precipitants of heart failure (HF) hospitalization. We hypothesized a patient's perception of reason for or preventability of an admission may be related to 30-day readmission rates. METHODS AND RESULTS: Ninety-four patients admitted with decompensated HF from July 2014 to March 2015 completed a brief questionnaire regarding circumstances leading to admission. Thirty-day outcomes were assessed via telephone call and chart review. Mean age was 58 ± 14 years, with 60% blacks (n = 56) and 41% females (n = 39). Median left ventricular ejection fraction was 30%; 27 had preserved ejection fraction. Seventy-two patients identified their hospitalization to be due to HF (± another condition). Most common patient-identified precipitants of admission were worsening HF (n = 37) and dietary nonadherence (n = 11). Readmitted patients tended to have longer time until first follow-up appointment (21 vs 8 days). Seven of the 42 patients who identified their hospitalization as preventable were readmitted compared with 21/49 who believed their hospitalization was unpreventable (P = .012). On multivariate regression analysis, patients who thought their hospitalization was preventable were less likely to be readmitted (odds ratio 0.31; 95% confidence interval 0.10-0.91; P = .04). CONCLUSION: Almost 50% of patients believe their HF hospitalization is preventable, and these patients appear to be less likely to be readmitted within 30 days. Notably, patients cite nonadherence and lack of knowledge as reasons hospitalizations are preventable. These results lend insight into possible interventions to reduce HF readmissions.


Subject(s)
Heart Failure/therapy , Hospitalization/statistics & numerical data , Outcome Assessment, Health Care , Patient Compliance , Patient Education as Topic , Ventricular Function, Left/physiology , Disease Progression , Female , Follow-Up Studies , Heart Failure/physiopathology , Humans , Male , Middle Aged , Patient Readmission/statistics & numerical data , Prognosis , Retrospective Studies , Risk Factors , Time Factors
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