Rehospitalisation rates and associated factors within 6 months after hospital discharge for patients with chronic heart failure: A longitudinal observational study

Can Timely Outpatient Visits Reduce Readmissions and Mortality Among Heart Failure Patients?

BACKGROUND

Outpatient follow-up after a hospital discharge may reduce the risk of readmissions, but existing evidence has methodological limitations.

OBJECTIVES

To assess effect of outpatient follow-up within 7, 14, 21 and 30 days of a hospital discharge on 30-day unplanned readmissions or mortality among heart failure (HF) patients; and whether this varies for patients with different clinical complexities.

DESIGN

We analyzed medical records between January 2016 and December 2021 from a prospective cohort study. Using time varying mixed effects parametric survival models, we examined the association between not having an outpatient follow-up and risk of adverse events. We used interaction models to assess if the effect of outpatient follow-up visit on outcomes varies with patients' clinical complexity (comorbidities, grip strength, cognitive impairment and length of inpatient stay).

PARTICIPANTS

Two hundred and forty-one patients with advanced HF.

MAIN MEASURES

30-day all-cause (or cardiac) adverse event defined as all cause (or cardiac) unplanned readmissions or death within 30 days of an unplanned all-cause (or cardiac) admission or emergency department visit.

KEY RESULTS

We analyzed 1595 all-cause admissions, inclusive of 1266 cardiac admissions. Not having an outpatient follow-up (vs having an outpatient follow-up) significantly increased the risk of 30-day all-cause adverse event. (risk [95% CI] - 14 days: 35.1 [84.5,-1.1]; 21 days: 43.9 [48.2,6.7]; 30 days: 31.1 [48.5, 7.9]) The risk (at 21 days) was higher for those with one co-morbidity (0.25 [0.11,0.58]), mild (0.67 [0.45, 1.00]) and moderate cognitive impairment (0.38 [0.17, 0.84]), normal grip strength (0.57 [0.34, 0.96]) and length of inpatient stay 7-13 days (0.45 [0.23, 0.89]).

CONCLUSION

Outpatient follow-up within 30 days after a hospital discharge reduced risk of 30-day adverse events among HF patients, the benefit varying according to clinical complexity. Results suggest the need to prioritize patients who benefit from outpatient follow-up for these visits.

Multifactorial risk factors for hospital readmissions among patients with symptoms of advanced heart failure

AIMS

Economic burden of heart failure is attributed to hospital readmissions. Previous studies assessing risk factors for readmissions have focused on single group of risk factors, were limited to 30-day readmissions, or did not account for competing risk of mortality. This study investigates the biological, socio-economic, and behavioural risk factors predicting hospital readmissions while accounting for the competing risk of mortality.

METHODS AND RESULTS

In this prospective cohort study, we recruited 250 patients hospitalized with symptoms of advanced heart failure [New York Heart Association (NYHA) Class III and IV] between July 2017 and April 2019. We analysed their baseline survey data and their hospitalization records over the next 4.5 years (July 2017 to January 2022). We used a joint-frailty model to determine the multifactorial risk factors for all-cause and unplanned hospital readmissions and mortality. At the time of recruitment, patients' mean (SD) age was 66 (12) years, majority being male (72%) and NYHA class IV (68%) with reduced ejection fraction (72%). 87% of the patients had poor self-care behaviours, 51% had diabetes and 56% had weak grip strength. Within 2 years of a hospital admission, 74% of the patients had at least one readmission. Among all readmissions during follow-up, 68% were unplanned. Results from the multivariable regression analysis shows that the independent risk factors for hospital readmissions were biologic-weak grip strength [hazard ratio (95% CI): 1.59 (1.06, 2.13)], poor functional status [1.79 (0.98, 2.61)], diabetes [1.42 (0.97, 1.86)]; behavioural-poor self-care [1.66 (0.84, 2.49)], and socio-economic-preference for maximal life extension at high cost for those with high education [1.98 (1.17, 2.80)]. Risk factors for unplanned hospital readmissions were similar. A higher hospital readmission rate increased the risk of mortality [1.86 (1.23, 2.50)]. Other risk factors for mortality were biologic-weak grip strength [3.65 (0.57, 6.73)], diabetes [2.52 (0.62, 4.42)], socio-economic-lower education [2.45 (0.37, 4.53)], and being married [2.53 (0.37, 4.69)]. Having a private health insurance [0.40 (0.08, 0.73)] lowered the risk for mortality.

CONCLUSIONS

Risk factors for hospital readmissions and mortality are multifactorial. Many of these factors, such as weak grip strength, diabetes, poor self-care behaviours, are potentially modifiable and should be routinely assessed and managed in cardiac clinics and hospital admissions.

Relationship between comorbidity and health outcomes in patients with heart failure: a systematic review and meta-analysis

BACKGROUND

The prevalence of heart failure (HF) is expected to rise due to increased survivorship and life expectancy of patients with acute heart conditions. Patients with HF and other multiple comorbid conditions are likely to have poor health outcomes. This study aimed to assimilate the current body of knowledge and to provide the pooled effect of HF patients' comorbid conditions on health outcomes.

METHODS

A systematic search was performed using MEDLINE, EMBASE and CINAHL databases. Observational studies evaluating the relationship between comorbid conditions and the health outcomes of HF were included. The pooled effect sizes of comorbidity on the identified health outcomes were calculated using a random effects model, and the heterogeneity was evaluated using I2 statistics.

RESULTS

A total of 42 studies were included in this review, and a meta-analysis was performed using the results of 39 studies. In the pooled analysis, the presence of a comorbid condition showed a significant pooled effect size in relation to the prognostic health outcomes: all-cause mortality (HR 1.31; 95% CI 1.18, 1.45), all-cause readmission (HR 1.16; 95% CI 1.09, 1.23), HF-related readmission (HR 1.13; 95% CI 1.05, 1.23), and non-HF-related readmission (HR 1.17; 95% CI 1.07, 1.27). Also, comorbidity was significantly associated with health-related quality of life and self-care confidence. Furthermore, we identified a total of 32 comorbid conditions from included studies. From these, 16 individual conditions were included in the meta-analyses, and we identified 10 comorbid conditions to have negative effects on overall prognostic outcomes: DM (HR 1.16, 95% CI 1.11, 1.22), COPD (HR 1.31, 95% CI 1.23, 1.39), CKD (HR 1.18, 95% CI 1.14, 1.23, stroke (HR 1.25, 95% CI 1.17, 1.31), IHD (HR 1.17, 95% CI 1.11, 1.23), anemia (HR 1.42, 95% CI 1.14, 1.78), cancer (HR 1.17, 95% CI 1.04, 1.32), atrial fibrillation (HR 1.25, 95% CI 1.01, 1.54), dementia (HR 1.19, 95% CI 1.03, 1.36) and depression (HR 1.17, 95% CI 1.04, 1.31).

CONCLUSIONS

Comorbid conditions have significantly negative pooled effects on HF patient health outcomes, especially in regard to the prognostic health outcomes. Clinicians should carefully identify and manage these conditions when implementing HF interventions to improve prognostic outcomes.

One-year rehospitalisation and mortality after acute heart failure hospitalisation: a competing risk analysis

OBJECTIVE

To identify factors that independently predict the risk of rehospitalisation and death after acute heart failure (AHF) hospital discharge in a real-world setting, considering death without rehospitalisation as a competing event.

METHODS

Single-centre, retrospective, observational study enrolling 394 patients discharged from an index AHF hospitalisation. Overall survival was evaluated using Kaplan-Meier and Cox regression models. For the risk of rehospitalisation, survival analysis considering competing risks was performed: rehospitalisation was the event of interest, and death without rehospitalisation was the competing event.

RESULTS

During the first year after discharge, 131 (33.3%) patients were rehospitalised for AHF and 67 (17.0%) died without being readmitted; the remaining 196 patients (49.7%) lived without further hospitalisations. The 1-year overall survival estimate was 0.71 (SE=0.02). After adjusting for gender, age and left ventricle ejection fraction, the results showed that the risk of death was higher in patients with dementia, higher levels of plasma creatinine (PCr), lower levels of platelet distribution width (PDW) and at Q4 of red cell distribution width (RDW). Multivariable models showed that the risk of rehospitalisation was increased in patients with atrial fibrillation, higher PCr or taking beta-blockers at discharge. Furthermore, the risk of death without AHF rehospitalisation was higher in males, those aged ≥80 years, patients with dementia or RDW at Q4 on admission (compared with Q1). Taking beta-blockers at discharge and having a higher PDW on admission reduced the risk of death without rehospitalisation.

CONCLUSION

When assessing rehospitalisation as a study endpoint, death without rehospitalisation should be considered a competing event in the analyses. Data from this study reveal that patients with atrial fibrillation, renal dysfunction or taking beta-blockers are more likely to be rehospitalised for AHF, while older men with dementia or high RDW are more prone to die without hospital readmission.

Consequences of Psychological Aspects: From Jordanian Heart Failure Patients' Beliefs

Introduction

Psychological aspects are common in patients with heart failure (HF). Psychological aspects have negative consequences in patients with HF.

Objective

This study was conducted to gain a deeper understanding of the consequences of psychological aspects in Jordanian patients with HF.

Methods

This study is a qualitative study conducted with the participation of 24 patients with HF. Data were collected using semi-structured interviews.

Results

The main theme of the findings can be expressed as "Consequences of psychological aspects of HF." The following four sub-themes emerged from the data: social isolation, disturbance of feelings, being non-compliant, and growing burden on the health care system.

Conclusion

The findings revealed the need for informing healthcare providers about the negative consequences of psychological aspects and develop clinical guidelines to evaluate psychological aspects to support these patients.

Structural Relationships Between Cognitive Function, Depressive Symptoms, Self-Care Confidence, and Maintenance in Patients With Heart Failure

Introduction

In order to promote self-care maintenance behavior in patients with heart failure (HF), it is necessary to identify the direct and indirect effects of major latent variables.

Objective

This study aimed to identify structural relationships between different domains of cognitive function, depression and self-care confidence, and self-care maintenance.

Methods

This descriptive study involved a secondary analysis using data of 201 patients with HF from two observational studies in three hospitals in Korea. The structural equation model using AMOS version 24.0 was constructed to assess the relationships among the variables. The Seoul Neuropsychological Screening Battery was used to assess global cognition, immediate/delayed memory, and executive function, and the Self-Care of HF Index v.6.2. was used for self-care confidence and maintenance.

Results

Self-care maintenance was affected by memory function with a significant direct effect (β=.43, p = .006), as well as self-care confidence (β=.70, p < .001). Memory function and global function indirectly affected self-care maintenance through self-care confidence (β = -.37, p = .002; β = .14, p = .030). Depressive symptoms also had an indirect effect through self-care confidence on self-care maintenance (β = -.21, p = .005).

Conclusion

This study confirmed that it is important to increase self-care confidence through supportive care and to maintain memory function for maintaining self-care in the chronic course of HF patients. In particular, this study suggests that it is necessary to perform periodic memory check-ups for chronic HF patients on an outpatient basis, and counseling and education are needed to improve memory and increase confidence in self-care.

The relationship of family functioning and family health with hospital readmission in patients with heart failure: insights from an international cross-sectional study

BACKGROUND

The growing hospital readmission rate among patients with heart failure (HF) has imposed a substantial economic burden on healthcare systems. Therefore, it is essential to identify readmission associating factors to reduce hospital readmission.

AIMS

This study aimed to investigate the relationship of family functioning and family health with hospital readmission rates over six months in patients with HF and identify the sociodemographic and/or clinical variables associated with hospital readmission.

METHODS

This international multicentre cross-sectional study involved a sample of 692 patients with HF from three countries (Denmark 312, Iran 288, and Iceland 92) recruited from January 2015 to May 2020. The Family Functioning, Health, and Social Support questionnaire was used to collect the data. The number of patients' hospital readmissions during the six-month period was retrieved from patients' hospital records.

RESULTS

Of the total sample, 184 (26.6%) patients were readmitted during the six-month period. Of these, 111 (16%) had one readmission, 68 (9.9%) had two readmissions, and 5 (0.7%) had three readmissions. Family functioning, family health, being unemployed, and country of residence were significant factors associated with hospital readmission for the patients.

CONCLUSION

This study highlights the critical roles of family functioning and family health in six-month hospital readmission among patients with HF. Moreover, the strategy of healthcare systems in the management of HF is a key determinant that influences hospital readmission. Our findings may assist the investigation of potential strategies to reduce hospital readmission in patients with HF.

Posthospitalization Follow-Up of Patients With Heart Failure Using eHealth Solutions: Restricted Systematic Review

BACKGROUND

Heart failure (HF) is a clinical syndrome with high incidence rates, a substantial symptom and treatment burden, and a significant risk of readmission within 30 days after hospitalization. The COVID-19 pandemic has revealed the significance of using eHealth interventions to follow up on the care needs of patients with HF to support self-care, increase quality of life (QoL), and reduce readmission rates during the transition between hospital and home.

OBJECTIVE

The aims of this review are to summarize research on the content and delivery modes of HF posthospitalization eHealth interventions, explore patient adherence to the interventions, and examine the effects on the patient outcomes of self-care, QoL, and readmissions.

METHODS

A restricted systematic review study design was used. Literature searches and reviews followed the (PRISMA-S) Preferred Reporting Items for Systematic Reviews and Meta-Analyses literature search extension checklist, and the CINAHL, MEDLINE, Embase, and Cochrane Library databases were searched for studies published between 2015 and 2020. The review process involved 3 groups of researchers working in pairs. The Mixed Methods Appraisal Tool was used to assess the included studies' methodological quality. A thematic analysis method was used to analyze data extracted from the studies.

RESULTS

A total of 18 studies were examined in this review. The studies were published between 2015 and 2019, with 56% (10/18) of them published in the United States. Of the 18 studies, 16 (89%) were randomized controlled trials, and 14 (78%) recruited patients upon hospital discharge to eHealth interventions lasting from 14 days to 12 months. The studies involved structured telephone calls, interactive voice response, and telemonitoring and included elements of patient education, counseling, social and emotional support, and self-monitoring of symptoms and vital signs. Of the 18 studies, 11 (61%) provided information on patient adherence, and the adherence levels were 72%-99%. When used for posthospitalization follow-up of patients with HF, eHealth interventions can positively affect QoL, whereas its impact is less evident for self-care and readmissions.

CONCLUSIONS

This review suggests that patients with HF should receive prompt follow-up after hospitalization and eHealth interventions have the potential to improve these patients' QoL. Patient adherence in eHealth follow-up trials shows promise for successful future interventions and adherence research. Further studies are warranted to examine the effects of eHealth interventions on self-care and readmissions among patients with HF.

Sleep Characteristics, Mood, Somatic Symptoms, and Self-Care Among People With Heart Failure and Insomnia

BACKGROUND

Almost 50% of people with heart failure (HF) experience chronic insomnia and must perform self-care to manage their day-to-day healthcare needs. Understanding multifactorial influences on self-care, including demographic, clinical, and sleep characteristics, and mood and somatic symptoms will help identify people at highest risk for poor self-care. However, past research focused only on the associations of single symptoms and self-care. Multivariate approaches are needed to account for the synergistic associations of self-care with sleep, mood, and somatic symptoms among people with HF.

OBJECTIVES

The aims of the study were to (a) evaluate the levels of self-care maintenance and self-care confidence among people with stable HF and chronic insomnia; (b) identify the clinical and demographic correlates of self-care maintenance and confidence among people with stable HF and chronic insomnia; and (c) identify the associations between sleep characteristics, mood and somatic symptoms, and self-care maintenance and confidence among people with stable HF and chronic insomnia.

METHODS

We utilized a cross-sectional design with 195 adult participants who had chronic HF and insomnia. We assessed for symptoms of anxiety; depression; dyspnea; fatigue; stress; insomnia severity; and sleep disturbance, impairment, and quality. Self-care was measured using the Self-Care for Heart Failure Index v6.2. We used generalized linear models to test the associations between the demographic and clinical factors and self-care maintenance and confidence; exploratory and confirmatory factor analysis to identify the factor structure underlying the symptoms; and structural equation modeling to test the combined associations of the demographic and clinical factors and latent factors with self-care maintenance and confidence.

RESULTS

Self-care maintenance, confidence, and management were inadequate in most participants. We identified three latent factors among the nine symptoms: "sleep characteristics," "mood," and "somatic symptoms." In the structural equation model, "sleep characteristics," White race, and having a left ventricular ejection fraction of <45 were associated with self-care maintenance. Age was negatively associated with self-care confidence.

DISCUSSION

Poor sleep characteristics negatively influence the ability of people with HF and insomnia to perform self-care behaviors. Knowledge of the associations among age, left ventricular ejection fraction, and race with self-care will help clinicians and future researchers identify those at risk for poor self-care.

Identification of factors associated with social dysfunction in patients with heart failure

AIMS

Social dysfunction is adversely associated with individuals' physical and mental quality of life. However, little is known about the status of social dysfunction and its associated factors in patients with heart failure. Our study aimed to reveal the prevalence of social dysfunction, and the associations between fatigue, dyspnoea, anxiety, depression, social connectedness, and social dysfunction in patients with heart failure.

METHODS AND RESULTS

We assessed the social dysfunction, fatigue, dyspnoea, anxiety, depression, and social connectedness using self-report questionnaires among 291 patients (64.13 ± 11.84 years, 53.3% male) with heart failure. Two stepwise forward logistic regression models were employed to identify the factors associated with social dysfunction, and the area under receiver operating characteristic curve was used to calculate the variance of the associated factors accounting for social dysfunction. Of the 291 patients, 76.6% reported social dysfunction. The logistic regression model after adjusting co-variables showed that fatigue [odds ratio (OR) 4.233, 95% confidence interval (CI) 1.778-10.081], dyspnoea (OR 0.866, 95% CI 0.756-0.991), depression (OR 1.173, 95% CI 1.037-1.328) were positively associated with social dysfunction, whereas social connectedness (OR 0.394, 95% CI 0.203-0.764) was negatively associated with social dysfunction. Four factors explained 84.5% of the variance of social dysfunction in patients with heart failure.

CONCLUSIONS

Social dysfunction is prevalent in patients with heart failure, and fatigue, dyspnoea, depression, and social connectedness are the associated factors. The findings indicate that the key to helping heart failure patients return to social life may be to attenuate fatigue, dyspnoea, and depression and to improve social connectedness.

Filling a gap in standardized nursing terminology. Development of a new nursing diagnosis proposal on heart failure self-care

PURPOSE

Heart failure is a highly prevalent chronic health problem associated with poor quality-of-life and negative outcomes. Self-care is a cornerstone in patients suffering from heart failure. Nurses are commonly engaged in enhancing patients' self-care behaviors, but the specific condition of deficit on self-care is not clearly identified by nurses. No nursing diagnoses focused on self-care of heart failure patients is currently available. This study aimed to develop a new nursing diagnosis that focuses on self-care in heart failure patients.

DATA SOURCES

A concept and content analysis were used. Some steps of the concept analysis were performed through an integrative literature review conducted searching in PUBMED and CINAHL databases to identify attributes, antecedents, and consequences of the diagnosis. Forty-five articles were selected from the 1450 studies found. Then, the content analysis was performed by an international panel of 29 experts. Two Delphi rounds were used to achieve consensus and an item content validity index was calculated for each diagnostic element.

DATA SYNTHESIS

Integrative review proposed four diagnostic labels, two definitions, 15 defining characteristics, and 44 related factors. After the two Delphi rounds a consensus was reached for each diagnostic indicator with a content validity index ranging from 82.8% to 100%. The nursing diagnosis-labeled heart failure self-care deficit-was validated with a definition, eight defining characteristics, 15 related factors, and five at-risk populations.

CONCLUSIONS

This diagnosis allows nurses to document patients' self-care in daily clinical practice through a standard nursing terminology, by naming this health problem, describing its etiology, and clinical manifestations.

IMPLICATIONS FOR NURSING PRACTICE

This new diagnosis is expected to assist nursing clinicians, educators, and students in clinical reasoning with the aim to improve diagnostic accuracy in identifying patients with a heart failure self-care deficit, to select the most appropriate interventions and pursue better outcomes.

Depression and Rehospitalization in Patients With Heart Failure After Discharge From Hospital to Home: An Integrative Review

Patients with heart failure are known to be particularly vulnerable to depression resulting in adverse health outcomes. However, there has been no literature review on current evidence regarding the relationship between depression and rehospitalization. This review aims to explore the relationship between depression and rehospitalization in patients with heart failure. A systematic review employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines included articles published between 2001 and 2019 taken from Scopus, PubMed, CINAHL, and PsycINFO databases. We identified 12 relevant studies with participants ranging from 115 to 160,169 patients. Heart failure patients with depression were more likely to be rehospitalized than those without. To explain this, few reasons have been proposed. First, depression could disrupt the regulation of autonomic nervous system, neurohormonal activation, and body’s natural rhythm. Second, depressed patients tend to have poor adherence to medication. Healthcare providers should not only focus on drug and dietary management but also on implementing effective interventions to manage depression, in order to reduce the risk of rehospitalization. Moreover, palliative care should start at the stage of heart failure diagnosis to improve quality of life, better outcomes, and lower cost of care for the patients.