High quality trials have demonstrated positive patient and family caregiver outcomes from early palliative care (EPC) in cancer However, given the difficulties in prognostication, the prevalence of sudden cardiac death, and an erratic illness trajectory, it is not clear when or how to integrate palliative care in HF. Furthermore, the high morbidity and mortality of HF in persons with low income, poor education, minority race, and residence in rural, medically-underserviced areas further complicates appropriate timing of integration.
To address these challenges, patients and family members were actively engaged to aid in the development of ENABLE CHF-PC (Educate, Nurture, Advise, Before Life Ends Comprehensive Heartcare for Patients and Caregivers), a telephonic EPC intervention for rural-dwelling, underserved HF patients and their family caregivers. In a proof-of-concept, formative evaluation study, materials and protocols were translated from our successful EPC ENABLE oncology model to a HF population. This study demonstrated acceptability, feasibility, and a signal of potential efficacy in an educationally, socioeconomically, and racially homogeneous sample of 11 patient-caregiver dyads. Thus, the current ENABLE CHF-PC feasibility trial was conducted in a northeastern and a southeastern US academic center to capture the perspectives of a more demographically and culturally-diverse sample. The purpose of this study was to: 1) determine the feasibility of recruiting and retaining patient-caregiver dyads for 24 weeks in a rural, racially-diverse sample and 2) explore longitudinal patient and caregiver outcomes including QOL, global health, anxiety, and depression to inform intervention and protocol modifications for a larger clinical efficacy trial.
Study Design: In this feasibility study, conducted April 1, 2014 to December 31, 2015, individuals with American College of Cardiology (ACC) /American Heart Association (AHA) Class C/D and/or NYHA Stage III/IV HF and their family caregivers received the ENABLE CHF-PC intervention and were followed for 24 weeks. The study protocol was approved by the institutional review boards of Dartmouth College (Lebanon, New Hampshire) and the University of Alabama at Birmingham (Birmingham, Alabama).
Setting and Sample: Study participants were recruited from cardiology clinics at Dartmouth-Hitchcock Medical Center (DHMC) and the University of Alabama at Birmingham (UAB). Study coordinators at both sites reviewed outpatient cardiology clinic schedules to identify eligible patients. Following physician approval, a study coordinator approached patients and their caregivers during a clinic appointment to explain the study and obtain consent.
Data Collection and Measures: Study coordinators completed measures with patients and caregivers by phone at baseline, 12- and 24-weeks. Baseline demographics included age, gender, race/ethnicity, religion, marital and work status, educational level, and medical insurance. Clinical characteristics abstracted from electronic health records included NYHA class, ejection fraction, presence of an implanted heart device, medications, and laboratory data. These data were entered into the Seattle Heart Failure Model (SHFM) a web-based calculator to compute 1-, 2- and 5-year survival estimates https://depts.washington.edu/shfm/). Nurse coaches also informed patients and caregivers that the purpose of this pilot trial was to determine acceptability in a new population - patients with heart failure from 2 distinctly different regions/cultures. Nurses recorded sessions, and tracked patient and caregiver feedback on intervention components that were found to be helpful or in need of improvement.
Statistical Analysis: The feasibility primary aim was determined by monitoring study status (enrolled, deceased, lost to follow-up) and calculating intervention and measurement completion (e.g. actual # completed/possible # per protocol). Patient and caregiver demographic characteristics were tabulated and compared between sites with bivariate tests of association and effect sizes (Cohen's d or d-equivalent or nominal variables). Associations were assessed between baseline characteristics and participant attrition using simple logistic regressions. Estimated odds ratios were used to determine associations between patient characteristics and attrition.
Longitudinal, fitted, linear mixed methods, adjusted for covariates associated with attrition were used to estimate participant-reported outcomes' changes from baseline to follow-up (12-week and 24-week means combined). Change estimates were transformed to effect sizes (Cohen's d) using baseline estimates of pooled standard deviations. Change was estimated overall and by site. All analyses were conducted using SAS v9.4.
Due to the exploratory nature of the study, the analysis relied on effect size estimation using Cohen's guidelines for magnitude of effect size d (i.e. small: 0.2, moderate: 0.5, and large: 0.8) rather than hypothesis testing to interpret results; however p-values are also provided for completeness.
