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Factors Associated With Live Discharge of Heart Failure Patients From Hospice: A Multimethod StudyFree Access

Clinical Research

J Am Coll Cardiol HF, 7 (7) 550–557
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Abstract

Objectives:

This study identified sociodemographic and clinical factors that predicted live discharge among home hospice patients with heart failure, and related these findings to perspectives among health care providers about challenges to caring for these patients.

Background:

Hospice patients with heart failure are frequently discharged from hospice before death (“live discharge”). However, little is known about the factors and circumstances associated with live discharge among patients with heart failure.

Methods:

Quantitative analyses of patient medical records (N = 1,498) and qualitative interviews were performed with health care providers (n = 19) at a not-for-profit hospice agency in New York City.

Results:

Thirty percent of home hospice patients with heart failure experienced a live discharge, most frequently due to 911 calls that led to acute hospitalization. The odds of acute hospitalization were higher for younger patients (age 18 to 74 years: adjusted odds ratio [AOR]: 2.10; 95% confidence interval [CI]: 1.34 to 3.28), African American (AOR: 2.06; 95% CI: 1.31 to 3.24) or Hispanic (AOR: 2.99; 95% CI: 1.99 to 4.50) patients, and higher functioning patients (Palliative Performance Scores of 50% to 70%; AOR: 5.68; 95% CI: 3.66 to 8.79). Qualitative interviews with health care providers highlighted the unique characteristics of heart failure (e.g., sudden changes in patients’ condition), the importance of patients’ understanding of hospice and their own prognosis, and the role of sociocultural and family context in precipitating and potentially preventing live discharge (e.g., absence of social supports in the home).

Conclusions:

Live discharge from hospice, especially due to acute hospitalization, is common with heart failure. Greater attention is needed for patients’ knowledge of and readiness for hospice care, especially among younger and diverse populations, and for factors related to the social and family context in which hospice care is provided.

Introduction

Advances in cardiovascular disease treatment have increased heart failure survival, and palliative interventions have shown significant improvements for patient quality-of-life (1). Although heart failure patients represent 15% of hospice deaths nationwide, compared with other diagnosis groups, such patients are disproportionately likely to be discharged from hospice before death (i.e., “live discharge”) due to acute hospitalization, elective revocation to resume disease-directed treatment, and loss of eligibility due to extended prognosis (2). Live discharge is problematic for several reasons. First, only a minority of discharged patients re-enroll in hospice, despite that, most die within 6 months (3). Second, many discharges are a sign of burdensome transitions between hospitals and other settings during the last days or weeks of life (4). These transitions are associated with poorer quality care and aggressive interventions (e.g., feeding tubes, intensive care) (5).

Hospices face challenges in caring for heart failure patients, including multiple comorbidities and extensive disability (6,7). These factors may increase live discharge risk when combined with minimal advance care planning or social support (8). However, little is known about factors for live discharge in heart failure patients. In addition, few studies have examined challenges faced by hospice providers in keeping these patients supported at home. The aims of this multimethod study were to identify sociodemographic and clinical correlates of live discharge among hospice patients with heart failure, and to explore provider perspectives on caring for this population.

Methods

Design

This study used a multimethod approach in which both quantitative data (i.e., medical records) and qualitative data (i.e., interviews with hospice providers) were collected, analyzed, and presented. An underlying assumption of this approach was that our research question could be answered more comprehensively than by using a single method alone (9). Data were obtained from a nonprofit hospice agency in New York City with an average daily census of 1,000 patients. The agency institutional review board approved all study procedures.

Quantitative data

Data on adult home hospice patients admitted and discharged between 2013 and 2017 were obtained by querying medical records. A total of 18,509 patients across all diagnoses were served during this period; the first period of hospice enrollment was examined for patients with multiple episodes. A total of 1,553 patients (8.4%) had a primary diagnosis of heart failure. Approximately 2.7% (n = 508) of the total patient population were missing data on ≥1 variables, including 3.5% (n = 55) of heart failure patients. These cases were excluded, which resulted in analytical samples of 18,001 patients across all diagnosis groups and 1,498 patients with heart failure. Several measures were identified, including discharge reason, sex, age, race/ethnicity, marital status, primary caregiver, health care proxy, and payer. Charlson comorbidity index scores were calculated based on the weights and codes updated by Quan et al. (10). Hospice referral source distinguished patients who came to the hospice from the hospital versus nonhospital settings. The Palliative Performance Scale (PPS) score at hospice enrollment was included as a measure of functional status (11). PPS scores ranged from 10% (bedbound, extensive disease) to 70% (reduced ambulation, significant disease), with higher scores indicating greater functioning (Online Table 1).

Qualitative data

Nineteen hospice providers were recruited for qualitative interviews between March and May 2018. Purposive sampling was used to select a diverse range of perspectives from hospice providers across the region (Manhattan and the Bronx) and discipline (i.e., nursing, social work, medicine). Providers who attended Interdisciplinary Team Meetings on dates when our study team was present were invited to participate in interviews. The researchers explained the study purpose and obtained informed consent from interviewees. A semistructured interview guide was developed to elicit information about heart failure patient experiences and circumstances that precipitated live discharge (Online Appendix). Interviews lasted approximately 30 min, and were audio-recorded and transcribed verbatim. Interviewees received $25 gift certificates for their time.

Data analysis

Quantitative data

R (R Foundation, Vienna, Austria) was used to perform all statistical analyses. Means and percentages were used to describe patient characteristics. A multinomial logistic regression model examined associations of sociodemographic and clinical characteristics with reasons for hospice discharge, which was a discrete variable with 5 categories (death, acute hospitalization, elective revocation, disqualification, and transfer). Death in hospice represented the reference category. The model was adjusted for sex, age, race/ethnicity, marital status, primary caregiver, health care proxy, payer, referral source, PPS, and Charlson scores at hospice enrollment. Separate analyses were conducted to examine residuals and goodness of fit. There was no evidence of collinearity or lack of model fit. A p value of 0.05 represented the threshold for determining statistical significance.

Qualitative data

Conventional content analysis methods were used to identify emerging categories and themes from the qualitative interviews. Four authors reviewed transcripts line-by-line, highlighting key phrases and concepts, and later met to compare codes. A final codebook was developed and applied to transcripts using Dedoose, a qualitative and mixed-methods research application (12). Inter-rater reliability was assessed for 6 frequently applied codes. Cohen’s kappa statistic ranged from 0.77 to 0.88 across 3 coding pairs, which suggested good agreement.

Results

Quantitative data

Table 1 describes the hospice patients with heart failure in our study population. Most patients were women (56.7%), 85 years or older (63.4%), and White (50.1%). However, the agency also served substantial minorities of Hispanics (24.1%), African Americans (18.0%), and Asians, or patients with other race/ethnic backgrounds (7.9%). Most patients were not currently married (64.2%), and some patients lacked a primary caregiver (16.4%) or health care proxy (16.2%). Medicare Fee-for-Service represented the most frequent payer (61.1%). Most patients were referred to hospice from the hospital (55.1%). The largest group of patients had PPS scores between 10% and 30%, which indicated extensive disease and near-total care (39.9%).

Table 1. Characteristics of Home Hospice Patients With Heart Failure

Total sample1,498 (100.0)
Sex
Male648 (43.3)
Female850 (56.7)
Age, yrs86.1 ± 10.7
18–74210 (14.0)
75–84339 (22.6)
≥85949 (63.4)
Race/ethnicity
White750 (50.1)
Hispanic361 (24.1)
African American269 (18.0)
Asian or other118 (7.9)
Marital status
Currently married537 (35.8)
Not currently married961 (64.2)
Primary caregiver
Has primary caregiver1,252 (83.6)
No primary caregiver246 (16.4)
Advanced directives
Has health care proxy1,255 (83.8)
Does not have health care proxy243 (16.2)
Primary payer source
Medicare fee-for-service917 (61.2)
Other insurance source581 (38.8)
Palliative Performance Score at admission
10–30597 (39.9)
40544 (36.3)
50–70357 (23.8)
Charlson Comorbidity Score2.5 ± 1.3
Referral source
Hospital826 (55.1)
Other672 (44.9)

Values are n (%) and mean ± SD.

Table 2 compared the distribution of hospice discharge reasons among patients with heart failure with other diagnoses. Most patients with heart failure died in hospice (69.6%). The percentage of heart failure patients with live discharge (30.4%) was considerably higher than that for cancer (23.2%), dementia (23.1%), and stroke (17.9%). Perhaps due to similar patterns of prognostic uncertainty and symptom burden, the live discharge rate among patients with pulmonary disease (31.7%) was comparable to heart failure. The most frequent live discharge reason among patients with heart failure included revocations among patients who dialed 911 and were admitted to acute care hospitals (i.e., acute hospitalization; 15.4% of patients). Acute hospitalization often stemmed from 911 calls due to panic and anxiety associated with sudden uncontrolled symptom exacerbations, including shortness of breath and pain. The second leading reason for live discharge was elective revocations to resume disease-directed treatments without acute hospitalization (i.e., elective revocation; 6.1%). Treatments that prompted elective revocation included pacemaker upgrades, implantations of automatic implantable cardioverter defibrillators or left ventricular assist devices, implantation of monitoring systems, and trial treatments. Additional reasons for live discharge included a loss of hospice eligibility due to extended prognosis (disqualification; 4.8%) and moves out of the service area or to other hospice and/or palliative settings (transferred; 4.1%). A notable trend was observed in live discharges across the study period. The percentage of heart failure patients with live discharge increased from 26.0% in 2013 to 33.6% in 2017. Much of this trend was attributable to an increase in the percentage of patients with disqualification, which rose from 1.9% of all patients in 2013 to 7.2% in 2017.

Table 2. Discharge Reason by Primary Diagnosis Category Among Home Hospice Patients

Heart FailureCancerDementiaStrokePulmonaryOther Diagnosis
Total sample1,498 (100.0)9,295 (100.0)2,520 (100.0)777 (100.0)679 (100.0)3,232 (100.0)
Hospice discharge reason
Death1,042 (69.6)7,140 (76.8)1,937 (76.9)638 (82.1)464 (68.3)2,470 (76.4)
Live discharge456 (30.4)2,155 (23.2)583 (23.1)139 (17.9)215 (31.7)762 (23.6)
Live discharge reason
Acute hospitalization230 (15.4)1,047 (11.3)194 (7.7)40 (5.1)111 (16.3)324 (10.0)
Elective revocation92 (6.1)385 (4.1)90 (3.6)25 (3.2)31 (4.6)156 (4.8)
Disqualification72 (4.8)103 (1.1)255 (10.1)58 (7.5)51 (7.5)171 (5.3)
Transferred62 (4.1)620 (6.7)44 1.7)16 (2.1)22 (3.2)111 (3.4)

Values are n (%).

Home hospice patients admitted and discharge during the period between 2013 and 2017.

∗ p < 0.001.

Associations of sociodemographic and clinical characteristics with live discharge reason were examined among heart failure patients (Table 3). The odds of acute hospitalization were greater among younger patients, including those ages 18 to 74 years (adjusted odds ratio [AOR]: 2.10; 95% confidence interval [CI]: 1.34 to 3.28) or 75 to 84 years (AOR: 1.79; 95% CI: 1.24 to 2.62). Elevated risk of hospitalization was also observed among Hispanic (AOR: 2.99; 95% CI: 1.99 to 4.50), African American (AOR: 2.06; 95% CI: 1.31 to 3.24), and Asian and/or other patients (AOR: 1.96; 95% CI: 1.08 to 3.57) compared with white patients. Higher PPS scores at hospice enrollment were associated with greater odds of hospitalization (PPS scores: 50% to 70%: AOR: 5.68; 95% CI: 3.66 to 8.79). Risk for elective revocation was greater among those aged 75 to 84 years (AOR: 1.99; 95% CI: 1.18 to 3.38), patients without a primary caregiver (AOR: 2.08; 95% CI: 1.25 to 3.48), and patients with PPS scores of 50% to 70% (AOR: 3.77; 95% CI: 2.14 to 6.64) or 40% (AOR: 1.85; 95% CI: 1.06 to 3.24). Risk for disqualification was greater among Hispanic patients compared with white patients (AOR: 2.32; 95% CI: 1.23 to 4.34), and for patients with PPS scores of 50% to 70% (AOR: 4.90; 95% CI: 2.5 to 9.55) or 40% (AOR: 2.57; 95% CI: 1.35 to 4.92). The odds of transferring were greater among Hispanic (AOR: 2.25; 95% CI: 1.10 to 4.62) and Asian and/or other race/ethnicities (AOR: 2.25; 95% CI: 1.04 to 6.18) compared with white patients. Increased risk for transferring was also observed among those without a primary caregiver (AOR: 1.98; 95% CI: 1.05 to 3.71), and for patients with PPS scores of 50% to 70% (AOR: 5.49; 95% CI: 2.66 to 11.34) or 40% (AOR: 2.53; 95% CI: 1.23 to 5.23).

Table 3. Multinomial Logistic Regression of Home Hospice Discharge Outcome on Patient Characteristics (N = 1,498)

Acute HospitalizationElective RevocationDisqualificationTransferred
Sex
Female1.02 (0.72–1.44)0.70 (0.43–1.13)1.01 (0.58–1.76)0.77 (0.42–1.39)
Age, yrs
18–742.10 (1.34–3.28)1.83 (0.93–3.59)0.86 (0.38–1.95)1.82 (0.84–3.97)
75–841.79 (1.24–2.62)1.99 (1.18–3.38)0.77 (0.39–1.50)1.67 (0.88–3.20)
≥85
Race/ethnicity
White
Hispanic2.99 (1.99–4.50)1.70 (0.94–3.08)2.32 (1.23–4.34)2.25 (1.10–4.62)
African American2.06 (1.31–3.24)1.39 (0.73–2.64)1.45 (0.69–3.06)1.64 (0.74–3.64)
Asian or other1.96 (1.08–3.57)1.49 (0.65–3.41)1.07 (0.36–3.18)2.25 (1.04–6.18)
Marital status
Not currently married1.37 (0.95–1.960)1.33 (0.80–2.18)1.34 (0.74–2.43)1.33 (0.46–1.49)
Primary caregiver
No primary caregiver0.97 (0.63–1.50)2.08 (1.25–3.48)0.84 (0.40–1.74)1.98 (1.05–3.71)
Health care proxy
No health care proxy0.81 (0.52–1.25)1.14 (0.64–2.04)0.82 (0.39–1.72)1.02 (0.49–2.13)
Primary payer source
Medicare (fee-for-service)0.82 (0.59–1.13)0.89 (0.56–1.42)0.88 (0.51–1.49)0.77 (0.44–1.36)
Other insurance source
Hospice referral source
Other than hospital0.95 (0.68–1.33)1.43 (0.89–2.29)1.31 (0.78–2.20)1.94 (1.09–3.44)
Palliative performance, %
10–30
404.00 (2.66–6.03)1.85 (1.06–3.24)2.57 (1.35–4.92)2.53 (1.23–5.23)
50–705.68 (3.66–8.79)3.77 (2.14–6.64)4.90 (2.51–9.55)5.49 (2.66–11.34)
Charlson Score0.99 (0.88–1.11)0.90 (0.75–1.08)1.07 (0.89–1.29)0.98 (0.79–1.20)

Values are adjusted odds ratio (95% confidence interval). Home hospice patients with a primary diagnosis of heart failure admitted and discharged during the period between 2013 and 2017. Hospice discharge reason was represented by a discrete variable with 5 categories: death (n = 1,042), acute hospitalization (n = 230); elective revocation (n = 92); disqualification (n = 72); and transfer (n = 62). Death in hospice represented the reference group. The regression model was adjusted for all independent variables listed in the table.

∗ p < 0.01.

† p < 0.05.

‡ p < 0.001.

Qualitative data

Interviewees included 17 registered nurses, 1 social worker, and 1 physician. Interviewees were mostly women (78.9%), white (47.4%) or African American (31.6%), English-speaking (52.6%), and were an average age of 48.8 ± 12.3 years. Most worked in hospice for ≥5 (57.9%; n = 11). Three themes were identified: unique characteristics; understanding and expectations of hospice; and sociocultural and family context.

Unique characteristics

Health care providers were aware that patients in hospice with heart failure are different from other diagnosis groups. Distinguishing features included the disease process itself, which was described as a “long road” with many “peaks and valleys.” Patients with heart failure were typically enrolled in hospice following a series of hospitalizations and emergency department visits. One interviewee described how patients with heart failure “are so used to getting sick and they get better…sick…better.” Rapid, sudden, and dramatic changes in patients’ conditions were described by providers, including sudden symptom exacerbations (e.g., “the symptoms could set on…it’s so sudden”) and changes in physical functioning (e.g., “I could see that he had declined a lot from one time to the next”). In addition to these distinguishing features, patients with heart failure were also described as having a “different symptomology and different management of symptoms.” Providers identified several common characteristics among heart failure patients, including comorbid conditions (e.g., renal failure, pulmonary disease), medical devices (e.g., pacemakers, defibrillators), and complex medication regimens (e.g., diuretic agents, inotropes). Patients with heart failure were also described as having certain signs and symptoms that distinguished them from other diagnosis groups (e.g., cancer or dementia), and which often represented the focus of hospice providers’ care management and educational interventions. These signs and symptoms included weight gain, edema and fluid retention, respiratory distress, weakness, pain, and anxiety (i.e., often as a consequence of distressing symptoms).

Understanding and expectations of hospice

Patients arrived at hospice with varying expectations, understanding, and acceptance about their condition. Providers spoke of patients and families who “come into hospice not having any idea what it’s about,” “don’t understand the whole prognosis,” are “expecting a miracle,” and “use hospice to get the service that they need,” without acknowledging that they “are at the end.” Limited understanding of “the hospice concept” and “resistance” to educational interventions by hospice nurses were described as barriers to keeping patients continuously enrolled in hospice, especially in cases in which patients held perceptions that “if they call 911 and they go to the hospital…they feel that if they hear it from the hospital or doctor there, that’s different.” Clinicians spoke of educating patients and managing their expectations about what services to expect through hospice. Some patients and families were described as being “pro-hospice,” whereas others were described as harboring views that “hospice is not doing anything.” Providers also described needing to manage expectations among patients that nurses and other staff will “be there 24/7 (all the time).”

Providers spoke of identifying patients with greater readiness for home hospice: “They had the life they had. They are happy…and quite peaceful about it.” In contrast, patients with less readiness for hospice often lacked advanced directives or had unrealistic expectations about medical interventions at the end-of-life (e.g., cardiopulmonary resuscitation).

Sociocultural and family context

Hospice providers spoke about the sociocultural and family context in which patients received care. Socioeconomic background, culture, religion, social support, language, and family dynamics were all cited as important factors that influenced the course and outcomes of hospice. Educational attainment was mentioned as influencing patients’ knowledge and readiness for hospice. Financial resources were identified as enabling patients and families to secure needed private care and other assistance; those without such resources were described as “struggling to put something together.” Cultural concepts were also highlighted as affecting the patient experience. One concept included the “hero,” which was invoked to describe patients who “don’t want to die” and associated aggressive measures, including hospitalization, with “reassurance” that they were taking every possible action to prolong life. Language barriers were mentioned as posing obstacles to educational interventions, especially when providers were reliant on interpreters to communicate with patients and caregivers.

A related subtheme was distress and panic, which included descriptions of caregivers who expressed anxiety or a “state of panic” toward uncontrolled symptoms, hesitancy to administer treatments that were perceived as hastening death, and vigilance about providing every opportunity to prolong life. Some providers linked these situations to views among patients and/or caregivers that the hospital is “where you go when you’re sick” and is a place that provides them with “every opportunity to live.” Distressing circumstances faced by hospice patients often presented dilemmas for caregivers, some of whom were aware of their loved one’s preferences to die at home, but nevertheless felt unprepared or uncomfortable keeping patients at home when difficult-to-manage symptoms arose. Panic was described as being dependent on the level of trust between family members and the hospice team, including whether a connection was made with team members who met their needs. Social support was viewed by hospice providers as an important aspect of sociocultural and family context that helped to keep patients comfortable at home. Heart failure was viewed by providers as a disease that produces “a lot of emotional and physical distress” for both patients and caregivers. Hospice providers felt that patients who experienced distressing symptoms in the absence of social supports were left with few options other than calling 911. (“Most people that call [911] don’t have any support at home. They live alone. Not being able to breathe and live alone, have no one to call…right?”) The presence of nurses, family members, and aides were described as providing emotional support to patients who helped maintain their comfort at home.

Discussion

Findings from this multimethod study highlighted several characteristics and features that shaped the experience of hospice patients with heart failure and affected their risk for live discharge. Quantitative analyses revealed that 3 of every 10 patients with heart failure experienced live discharge, most frequently because of 911 calls that precipitated hospitalization. Our study built upon previous research that indicated that hospice patients with heart failure had a significantly higher risk of live discharge compared with other diseases (e.g., cancer) (2). We also found a greater odds of live discharge due to acute hospitalization among younger patients compared with older patients, African Americans and Hispanics compared with whites, and patients with higher functioning versus patients with lower functioning at hospice enrollment. Racial/ethnic disparities in live discharge risk might be driven by several factors. Mistrust of health care providers represented a significant barrier to care among African Americans (13). In addition, research suggested that caregivers of African American and Hispanic hospice patients differed from their white counterparts on measures of perceived health care quality, including their ratings of emotional and religious support received from hospice providers (14,15). Efforts to improve cultural competency among hospice providers might be key to reducing racial/ethnic disparities in hospitalization and other end-of-life medical interventions, such as receipt of cardiopulmonary resuscitation, mechanical ventilation, and intensive care (16).

Qualitative interviews with providers garnered insights into the circumstances and contexts that influenced how patients with heart failure experienced hospice. Several barriers to caring for these patients were identified, including patient−provider language discordance, limited knowledge of hospice, and cultural preferences for life-sustaining measures and hospital-based care. Hospice providers spoke frequently of the unique features of heart failure, including rapid changes in patients’ conditions, distressing symptoms (e.g., shortness of breath, swelling, and fatigue) that generated panic and anxiety among caregivers, and complex medication regimens. Health care providers are tasked with helping patients manage these symptoms, as well as cope with lapses in patient−provider communication, limited understanding about their disease, and inaccurate prognoses (17). Hospice providers were often surprised themselves by the sudden declines and distressing symptoms experienced by patients with heart failure, which were circumstances that provided a limited window of opportunity for intervention to prevent hospitalization. The absence of accurate prognosis estimates also blurred the clinical lens through which hospice providers viewed their intervention efforts among patients with heart failure. We observed increases across our study period in the number of patients with heart failure who lost hospice eligibility due to an extended prognosis. This increase in disqualification could be reflective of: 1) challenges that cardiologists face in accurately determining patient prognosis and making timely hospice referrals; and 2) improvements in disease management and quality of life associated with hospice services. The PPS might represent a useful tool for estimating hospice survival in heart failure patients (18). Our results suggested that higher functioning heart failure patients enrolled in hospice with PPS scores of 50% to 60% had >5 times the odds of acute hospitalization and disqualification. These findings were consistent with research that suggested that PPS scores could be applied to diverse palliative populations for survival prediction (19). One opportunity for further study involves a survival analysis of heart failure patients based on predictions from PPS scores at hospice enrollment.

Study limitations

Patients and providers were studied at a single hospice agency in the northeastern United States. The extent to which our findings could be generalized to other agencies and palliative settings outside of the United States would require further analysis. In addition, our data set did not include measures of patient socioeconomic status (i.e., income and/or education), language, culture and/or religion, or perceived social and/or emotional support. All of these constructs might represent important factors for live discharge among heart failure patients. Future research should clarify their contributions. Furthermore, our qualitative interviews were limited to hospice providers, most of whom were nurses, and thus did not directly represent the views and perspectives of patients or caregivers. Qualitative interviews with patients and caregivers, as well as other health care personnel, could provide additional insights into the circumstances underlying live discharge.

Conclusions

Live discharge from hospice, especially due to acute hospitalization, is common with heart failure patients. Greater attention is needed to patients’ readiness and understanding of hospice care, especially among younger and diverse populations. Our findings suggest that many factors for live discharge relate to the social and family context in which hospice care is provided. Additional research is needed to unpack these sociocultural circumstances in more detail.

Perspectives

COMPETENCY IN MEDICAL KNOWLEDGE: Compared with other conditions, patients with heart failure are more likely to experience live discharge from hospice, most frequently due to 911 calls that lead to hospitalization. Our study identified characteristics of heart failure patients that increased risk for live discharge and described circumstances that introduced challenges for hospice providers. Together, these findings pointed to several important factors in caring for heart failure patients at end of life, including prognostic uncertainty, distressing symptoms, and a lack of understanding and readiness for hospice. Hospice providers are faced with the difficult task of integrating these elements of the patient’s clinical picture into their educational interventions and collaborative goal-setting process.

TRANSLATIONAL OUTLOOK: Despite the previously described challenges outlined, palliative interventions have the potential to improve the end-of-life experience for patients with heart failure. Targeted interventions for younger and higher functioning patients could provide consultation before admission about hospice goals of care to ensure patients’ readiness for hospice and to develop strategies to help them manage symptoms and crises at home. Tailored services for patients and caregivers, including psychoeducation interventions, could help to improve patient symptom management, promote prognostic communication and understanding, and reduce caregiver stress and anxiety. Our results also supported the development of cardiac-specific training programs for hospice providers geared toward overcoming barriers to palliative care, as well as education programs designed to encourage shared decision-making and raise awareness about hospice goals of care. Such interventions might help to keep patients with heart failure comfortable at home and avoid emergency situations that lead to hospitalization. Interventions designed to increase training and support for both informal (i.e., family) and formal caregivers (e.g., home health aides) could help to keep patients with heart failure continuously enrolled in hospice. Collectively, these findings suggest an opening for the development and testing of programs that meet the unique needs of hospice patients with heart failure, and that provide increased support for caregivers during the end of life.

  • 1. Rogers J.G., Patel C.B., Mentz R.J.et al. : "Palliative care in heart failure: the PAL-HF randomized, controlled clinical trial". J Am Coll Cardiol 2017; 70: 331.

    View ArticleGoogle Scholar
  • 2. Russell D., Diamond E.L., Lauder B.et al. : "Frequency and risk factors for live discharge from hospice". J Am Geriatr Soc 2017; 65: 1726.

    CrossrefMedlineGoogle Scholar
  • 3. LeSage K., Borgert A.J. and Rhee L.S. : "Time to death and reenrollment after live discharge from hospice: a retrospective look". Am J Hosp Palliat Care 2015; 32: 563.

    CrossrefMedlineGoogle Scholar
  • 4. Wang S.Y., Aldridge M.D., Gross C.P.et al. : "Transitions between healthcare settings of hospice enrollees at the end of life". J Am Geriatr Soc 2016; 64: 314.

    CrossrefMedlineGoogle Scholar
  • 5. Gozalo P., Teno J.M., Mitchell S.L.et al. : "End-of-life transitions among nursing home residents with cognitive issues". N Engl J Med 2011; 365: 1212.

    CrossrefMedlineGoogle Scholar
  • 6. LeMond L. and Allen L.A. : "Palliative care and hospice in advanced heart failure". Prog Cardiovasc Dis 2011; 54: 168.

    CrossrefMedlineGoogle Scholar
  • 7. Wong C.Y., Chaudhry S.I., Desai M.M. and Krumholz H.M. : "Trends in comorbidity, disability, and polypharmacy in heart failure". Am J Med 2011; 124: 136.

    CrossrefMedlineGoogle Scholar
  • 8. Ankuda C.K., Fonger E. and O'Neil T. : "Electing full code in hospice: patient characteristics and live discharge rates". J Palliative Med 2018; 21: 297.

    CrossrefMedlineGoogle Scholar
  • 9. Tariq S. and Woodman J. : "Using mixed methods in health research". JRSM Short Rep 2013; 4. 2042533313479197.

    CrossrefMedlineGoogle Scholar
  • 10. Quan H., Li B., Couris C.M.et al. : "Updating and validating the Charlson comorbidity index and score for risk adjustment in hospital discharge abstracts using data from 6 countries". Am J Epidemiol 2011; 173: 676.

    CrossrefMedlineGoogle Scholar
  • 11. Martell J. : Palliative Performance Scale (PPSv2) . Victoria, Canada: Victoria Hospice Society2001.

    Google Scholar
  • 12. Dedoose. Available at: www.dedoose.com. Accessed August 28, 2018.

    Google Scholar
  • 13. Cort M.A. : "Cultural mistrust and use of hospice care: challenges and remedies". J Palliat Med 2004; 7: 63.

    CrossrefMedlineGoogle Scholar
  • 14. Price R.A., Parast L., Haas A., Teno J.M. and Elliott M.N. : "Black and Hispanic patients receive hospice care similar to that of white patients when in the same hospices". Health Affairs 2017; 36: 1283.

    CrossrefGoogle Scholar
  • 15. Luth E.A. and Prigerson H.G. : "Associations between race and dementia status and the quality of end-of-life care". J Palliat Med 2018; 21: 970.

    CrossrefMedlineGoogle Scholar
  • 16. Brown C.E., Engelberg R.A., Sharma R.et al. : "Race/ethnicity, socioeconomic status, and healthcare intensity at the end of life". J Palliat Med 2018; 21: 1308.

    CrossrefMedlineGoogle Scholar
  • 17. Glogowska M., Simmonds R., McLachlan S.et al. : "“Sometimes we can’t fix things”: a qualitative study of health care professionals’ perceptions of end of life care for patients with heart failure". BMC Palliat Care 2016; 15: 3.

    CrossrefMedlineGoogle Scholar
  • 18. Creber R.M.M., Russell D., Dooley F.et al. : "Use of the palliative performance scale to estimate survival among home hospice heart failure patients". J Cardiac Fail 2018; 24: S76.

    CrossrefGoogle Scholar
  • 19. Baik D., Masterson Creber R., Russell D., Dooley F., Jordan L. and Bowles K.H. : "Using the palliative performance scale to estimate survival for patients at the end-of-life: a systematic review of the literature". J Palliat Med 2018; 21: 1651.

    CrossrefMedlineGoogle Scholar

Abbreviations and Acronyms

AOR

adjusted odds ratio

CI

confidence interval

PPS

Palliative Performance Score

Footnotes

This study was supported by the Eugenie and Joseph Doyle Research Partnership Fund and by the National Institute of Nursing Research of the National Institutes of Health under Award Number R00NR016275. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors have reported that they have no relationships relevant to the contents of this paper to disclose.