One Size Does Not Fit All: Disease Profiles of Serious Illness Patients Receiving Specialty Palliative Care

Moving beyond "Better Late than Never": High Symptom Burden and Diminished Functional Status at First Palliative Care Visit for Patients with Gynecological Cancers

Background: Despite physical and emotional distress in patients with gynecologic malignancies, palliative care (PC) is underutilized. Objectives: We characterize referral practices, symptom burden and functional status at the time of initial PC encounter for patients with gynecologic cancer. Design: Data were extracted from the standardized Quality Data Collection Tool for Palliative Care (QDACT-PC). We describe symptom burden and performance status. Results: At initial specialty PC encounter, patients with gynecologic cancers reported a mean of 3.3 moderate/severe symptoms. Outpatients experienced the most moderate/severe symptoms (mean 3.9) versus inpatient (mean 2.1) or home (mean 1.5). A total of 72.7% of patients had significantly impaired functional status (palliative performance scale [PPS] <70) at initial encounter. Inpatients had a more impaired functional status (mean PPS 48.8) than outpatients (mean PPS 67.0). Conclusions: The symptom burden for gynecologic cancer patients at initial PC encounter is high. Despite better functional status, patients referred in the outpatient setting had the highest symptom burden.

Academic-Clinical Collaborations to Build Undergraduate Nursing Education in Hospice and Palliative Care

With the current shortage of hospice/palliative care (HPC) workforce, there is an urgent need to train a generation of nurses with clinical competency in HPC to ensure equitable access and optimal care for patients living with serious illness or at the end of life. The recent demand for HPC teaching in nursing education calls for innovation in establishing clinical placements. Palliative care nursing experts in New York State were surveyed between June and August 2022 about facilitators of academic-clinical partnerships between nursing schools and clinical settings. Inductive content analysis of open-ended responses revealed six major interconnected themes: (a) Increase Awareness of HPC in the Nursing Program, (b) Build a Relationship With Administrators, (c) Look Beyond Acute Care Partnerships, (d) Offer Incentives, (e) Develop Direct Care Experiential Opportunities, and (f) Develop Non-Direct Care Experiential Opportunities. Findings provide rich insights into key considerations for successful collaboration between nursing schools and clinical sites. [Journal of Gerontological Nursing, 49(6), 13-18.].

Multiple Chronic Conditions among Seriously Ill Adults Receiving Palliative Care

The objective of this study was to characterize multiple chronic conditions (MCCs) among seriously ill adults receiving palliative care at the end of life. A latent class analysis was conducted to identify latent subgroups of seriously ill older adults based on a baseline Charlson comorbidity index (CCI) measurement, a measure of comorbidity burden, and mortality risk. The three latent subgroups were: (1) low to moderate CCI with MCC, (2) high CCI with MCC, and (3) high CCI and metastatic cancer. The "low to moderate CCI and MCC" subgroup included older adults with chronic obstructive pulmonary disease (COPD), cardiovascular disease, congestive heart failure, myocardial infarction, dementia, diabetes, and lymphoma. A "high CCI and MCC" subgroup included individuals with severe illness including liver or renal disease among other MCCs. A "high CCI and metastatic cancer" included all participants with metastatic cancer. This study sheds light on the MCC profile of seriously ill adults receiving palliative care.

Latent Class Analysis of Symptom Burden Among Seriously Ill Adults at the End of Life

BACKGROUND

Serious illness is characterized by high symptom burden that negatively affects quality of life (QOL). Although palliative care research has highlighted symptom burden in seriously ill adults with cancer, symptom burden among those with noncancer serious illness and multiple chronic conditions has been understudied. Latent class analysis is a statistical method that can be used to better understand the relationship between severity of symptom burden and covariates, such as the presence of multiple chronic conditions. Although latent class analysis has been used to highlight subgroups of seriously ill adults with cancer based on symptom clusters, none have incorporated multiple chronic conditions.

OBJECTIVES

The objectives of this study were to (a) describe the demographic and baseline characteristics of seriously ill adults at the end of life in a palliative care cohort, (b) identify latent subgroups of seriously ill individuals based on severity of symptom burden, and (c) examine variables associated with latent subgroup membership, such as QOL, functional status, and the presence of multiple chronic conditions.

METHODS

A secondary data analysis of a palliative care clinical trial was conducted. The latent class analysis was based on the Edmonton Symptom Assessment System, which measures nine symptoms on a scale of 0-10 (e.g., pain, fatigue, nausea, depression, anxiousness, drowsiness, appetite, well-being, and shortness of breath). Clinically significant cut-points for symptom severity were used to categorize each symptom item in addition to a categorized total score.

RESULTS

Three latent subgroups were identified (e.g., low, moderate, and high symptom burden). Lower overall QOL was associated with membership in the moderate and high symptom burden subgroups. Multiple chronic conditions were associated with statistically significant membership in the high symptom burden latent subgroup. Older adults between 65 and 74 years had a lower likelihood of moderate or high symptom burden subgroup membership compared to the low symptom burden class.

DISCUSSION

Lower QOL was associated with high symptom burden. Multiple chronic conditions were associated with high symptom burden, which underlines the clinical complexity of serious illness. Palliative care at the end of life for seriously ill adults with high symptom burden must account for the presence of multiple chronic conditions.

Associations of Patient Characteristics and Care Setting with Complexity of Specialty Palliative Care Visits

Background: Information routinely collected during a palliative care consultation request may help predict the level of complexity of that patient encounter. Objectives: We examined whether patient and consultation characteristics, as captured in consultation requests, are associated with the number of unmet palliative care needs that emerge during consultation, as an indicator of complexity. Design: We performed a retrospective cohort analysis of palliative care consultations. Setting: We analyzed quality-of-care data from specialty palliative care consultations contained in the Quality Data Collection Tool of the Global Palliative Care Quality Alliance from 2012 to 2017. Measurements: Using 13 point-of-care assessments of quality of life, symptoms, advance care planning, and prognosis, we created a complexity score ranging from 0 (not complex) to 13 (highest complexity). Using multivariable linear regression, we examined the relationships of consultation setting and patient characteristics with complexity score. Results: Patients in our cohort (N = 3121) had an average complexity score of 6.7 (standard deviation = 3.7). Female gender, nonwhite race, and neurological (e.g., dementia) and noncancer primary diagnosis were associated with increased complexity score. The hospital intensive care unit, compared with the general floor, was associated with higher complexity scores. In contrast, outpatient and residence, compared with the general floor, were associated with lower complexity scores. Conclusion: Patient, disease, and care setting factors known at the time of specialty palliative care consultation request are associated with level of complexity, and they may inform teams about the right service provisions, including time and expertise, required to meet patient needs.

Community-Based Palliative Care Consultations: Comparing Dementia to Nondementia Serious Illnesses

Background: Little is known about the provision of palliative care to people with dementia (PWD). Objective: To examine demographic and clinical characteristics of PWD versus nondementia serious illnesses receiving community-based palliative care. Design: Retrospective study of people 65+ receiving an initial consultation from a community-based palliative care practice between September 2014 and February 2018 using registry data entered by clinicians into the Quality Data Collection Tool for Palliative Care. Setting: Large not-for-profit organization that provides community-based hospice and palliative care services. Measurements: Demographics, consult characteristics, advance care planning, and caregiver support. Results: Of 3883 older adults receiving a first palliative care consultation from this organization, 22% (855) had a dementia diagnosis. Compared to those with nondementia serious illnesses, PWD were older with more impaired function; 36% had a prognosis of less than six months. More PWD than those without dementia had a proxy decision maker and documented advance directive. A quarter of PWD were full code before consultation; nearly half changed to some limitation afterward. Symptom characteristics were missing for 67% of PWD due to collection through self-report. Caregivers of PWD were responsible for significantly more activities of daily living than caregivers of people with nondementia serious illnesses. Conclusions: This is the first comparison of a large cohort of people with and without dementia receiving a community-based palliative care consult in the United States. Alternative measures of symptom burden should be used in registries to capture data for PWD. Understanding the unique characteristics of PWD will guide future services for this growing population.