The Growth of Palliative Care in U.S. Hospitals: A Status Report

Transitional Palliative Care for Family Caregivers: Outcomes From a Randomized Controlled Trial

CONTEXT

Patients receiving inpatient palliative care often face physical and psychological uncertainties during transitions out of the hospital. Family caregivers often take on responsibilities to ensure patient safety, quality of care, and extend palliative care principles, but often without support or training, potentially compromising their health and well-being.

OBJECTIVES

This study tested an eight-week intervention using video visits between palliative care nurse interventionists and caregivers to assess changes in caregiver outcomes and patient quality of life.

METHODS

This randomized controlled trial, conducted from 2018 to 2022, enrolled adult caregivers in rural or medically underserved areas in Minnesota, Wisconsin, and Iowa. Eligible caregivers included those caring for patients who received inpatient palliative care and transitioned out of the hospital. The intervention group received teaching, guidance, and counseling from a palliative care nurse before and for eight weeks after hospital discharge. The control group received monthly phone calls but no intervention. Caregiver outcomes included changes in depression, burden, and quality of life, and patient quality of life, as reported by the caregiver.

RESULTS

Of those consented, 183 completed the intervention, and 184 completed the control arm; 158 participants had complete baseline and eight-week data. In unadjusted analyses, the intervention group and their care recipients showed statistically significant improvements in quality of life compared to the control group. Improvements persisted in adjusted analyses, and depression significantly improved. No differences in caregiver burden were observed.

CONCLUSION

Addressing rural caregivers' needs during transitions in care can enhance caregiver outcomes and improve patient quality of life.

The Determinants of Inpatient Palliative Care Use in Patients With Pancreatic Cancer

INTRODUCTION

Symptom burden management is a major goal of pancreatic cancer care given that most patients are diagnosed late. Early palliative care is recommended in addition to concurrent active treatment; however, disparities exist. We sought to determine the factors associated with inpatient palliative treatment among pancreatic cancer patients and compare treatment outcomes in terms of mortality, discharge disposition and resource utilization.

METHODS

We conducted a retrospective study of 22,053 pancreatic cancers using the National Inpatient Sample (NIS) database (January - December 2020). Patient and hospital characteristics, mortality, discharge disposition, length of stay (LOS), hospital costs and charges were compared between pancreatic cancer patients based on palliative treatment. Multivariate regression was used to evaluate patient and hospital characteristics and outcomes associated with palliative treatment.

RESULTS

A total number of 3839 (17.4%) patients received palliative care. Patients who received palliative care were more likely to be older, Medicaid insured, and nonobese. Patients were less likely to receive palliative care if they are males, Medicare insured, had a lower Charlson comorbidity score, or treated in Urban nonteaching hospitals. Patients who received palliative care displayed higher odds of in-hospital mortality and prolonged LOS. The adjusted additional mean hospital cost and charges in patients who received palliative care were lower by $1459, and $4222 respectively.

CONCLUSIONS

Inpatient palliative treatment in pancreatic cancer patients is associated with an older age, a higher comorbidity burden, non-obesity, insurance status and urban teaching hospitals. Our study suggests that inpatient palliative treatment decreased hospital resource utilization without prolonging survival.

Performance Status and End-of-Life Outcomes in Patients With Metastatic Castration-resistant Prostate Cancer Treated With Androgen Receptor Targeted Therapy

OBJECTIVES

Androgen receptor targeted therapies (ARTs) are widely preferred over taxane chemotherapy due to their good tolerability and similar efficacy. However, there is a paucity of data that support the use of ART therapy or describe end-of-life (EOL) outcomes in patients with metastatic castration-resistant prostate cancer (mCRPC) with reduced performance status (PS) (European Cooperative Oncology Group [ECOG] ≥2).

METHODS

We performed a retrospective, single-institution study of 142 patients with mCRPC who received ART therapy between 2010 and 2021. We assessed each record for baseline demographic and clinical information, ART treatment course, and survival and EOL outcomes. Our primary aim was to compare overall survival (OS) between the two groups (ECOG ≥2 vs 0 to 1), and our secondary aim was to describe EOL outcomes. Fisher exact tests and Wilcoxon signed-rank tests were used to compare baseline characteristics. Cox regression was used to compare OS for patients with ECOG ≥2 at the start of treatment with those who had an ECOG of 0 or 1. Descriptive analyses were performed to assess EOL outcomes between the groups.

RESULTS

Patients with mCRPC and decreased PS experienced shorter OS on ART compared with those with higher PS. Moreover, when examining EOL outcomes, a near majority of these patients died in the hospital, with a greater percentage among those with an ECOG ≥2.

CONCLUSION

These findings highlight the need for continual assessment of PS, improved shared decision-making in ART treatment, and additional research exploring the association between PS and EOL outcomes.

Feasibility of a digital palliative care intervention (Convoy-Pal) for older adults with heart failure and multiple chronic conditions and their caregivers: a waitlist randomized control trial

BACKGROUND

Although older adults with heart failure (HF) and multiple chronic conditions (MCC) frequently rely on caregivers for health management, digital health systems, such as patient portals and mobile apps, are designed for individual patients and often exclude caregivers. There is a need to develop approaches that integrate caregivers into care. This study tested the feasibility of the Social Convoy Palliative Care intervention (Convoy-Pal), a 12-week digital self-management program that includes assessment tools and resources for clinical palliative care, designed for both patients and their caregivers.

METHODS

A randomized waitlist control feasibility trial involving patients over 65 years old with MCC who had been hospitalized two or more times for HF in the past 12 months and their caregivers. Descriptive statistics were used to evaluate recruitment, retention, missing data, self-reported social functioning, positive aspects of caregiving, and the acceptability of the intervention.

RESULTS

Of 126 potentially eligible patients, 11 were ineligible and 69 were deceased. Of the 46 eligible patients, 31 enrolled in the trial. Although 48 caregivers were identified, only 15 enrolled. The average age was 76.3 years for patients and 71.6 years for caregivers, with most participants being non-Hispanic White. Notably, 4% did not have access to a personal mobile device or computer. Retention rates were 79% for intervention patients, 57% for intervention caregivers, and 60% for control participants. Only 4.6% of survey subscales were missing, aided by robust technical support. Intervention patients reported improved social functioning (SF-36: 64.6 ± 25.8 to 73.2 ± 31.3) compared to controls (64.6 ± 27.1 to 67.5 ± 24.4). Intervention caregivers also reported increased positive perceptions of caregiving (29.5 ± 5.28 to 35.0 ± 5.35) versus control caregivers (29.4 ± 8.7 to 28.0 ± 4.4). Waitlist control participants who later joined the Convoy-Pal program showed similar improvements. The intervention was well-rated for acceptability, especially regarding the information provided (3.96 ± .57 out of 5).

CONCLUSIONS

Recruiting informal caregivers proved challenging. Nonetheless, Convoy-Pal retained patients and collected meaningful self-reported outcomes, showing potential benefits for both patients and caregivers. Given the importance of a patient and caregiver approach in palliative care, further research is needed to design digital tools that cater to multiple simultaneous users.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT04779931. Date of registration: March 3, 2021.

Investigation of Medical Student and Resident Physician Palliative Care Consulting Practices

Palliative care (PC) underutilization stems from provider conflicts and the belief that PC involvement may confuse patients. We hypothesized medical students, less exposed to these barriers and misconceptions, would be more likely to consult PC than residents/fellows. A survey of 88 medical students, residents, and fellows was conducted, querying the appropriateness of PC utilization in clinical scenarios. Students were more likely to consult PC than trainees when PC was not indicated (47.2% vs 22.9%, P = .02). In the two cases where PC was indicated, there was no difference in PC utilization among students and trainees (92.5% vs 91.4%, P = .86; 90.6% vs 100%, P = .06). When stratifying participants into medical and surgical specialties, or career interests regarding students, there was no difference in rates of PC consultation. This suggests medical education advancements are producing physicians adept at identifying patients needing PC and willing to integrate a PC service into patient care.

Use of Palliative Care Among Adults With Newly Diagnosed Heart Failure: Insights From a US National Insured Patient Sample

BACKGROUND

Despite the known benefits for individuals with heart failure (HF), incomplete data suggest a low use of palliative care (PC) for HF in the United States. We aimed to investigate the national PC use for adults with HF by determining when they received their first PC consultation (PCC) and the associations with clinical factors following diagnosis of HF.

METHODS AND RESULTS

We conducted a retrospective cohort study in a national all-payer electronic health record database to identify adults (aged ≥18 years) with newly diagnosed HF between 2011 and 2018. The proportion of those who received PCC within 5 years following a diagnosis of HF, and associations of time to first PCC with patient characteristics and HF-specific clinical markers were determined. We followed 127 712 patients for a median of 792 days, of whom 18.3% received PCC in 5 years. Shorter time to receive PCC was associated with diagnoses of HF in 2016 to 2018 (compared with 2010-2015: adjusted hazard ratio [aHR], 1.421 [95% CI, 1.370-1.475]), advanced HF (aHR, 2.065 [95% CI, 1.940-2.198]), cardiogenic shock (aHR, 2.587 [95% CI, 2.414-2.773]), implantable cardioverter-defibrillator (aHR, 5.718 [95% CI, 5.327-6.138]), and visits at academic medical centers (aHR, 1.439 [95% CI, 1.381-1.500]).

CONCLUSIONS

Despite an expanded definition of PC and recommendations by professional societies, PC for HF remains low in the United States. Racial and geographic variations in access and use of PC exist for patients with HF. Future studies should interrogate the mechanisms of PC underusage, especially before advanced stages, and address barriers to PC services across the health care system.

Easing Suffering for ICU Patients and Their Families: Evidence and Opportunities for Primary and Specialty Palliative Care in the ICU

Intensive care unit (ICU) admissions are often accompanied by many physical and existential pressure points that can be extraordinarily wearing on patients and their families and surrogate decision makers (SDMs). Multidisciplinary palliative support, including physicians, advanced practice nurses, nutritionists, chaplains and other team members, may alleviate many of these sources of potential suffering. However, the palliative needs of ICU patients undoubtedly exceed the bandwidth of current consultative specialty palliative medicine teams. Informed by standard-of-care palliative medicine domains, we review common ICU symptoms (pain, dyspnea and thirst) and their prevalence, sources and their treatment. We then identify palliative needs and impacts in the domains of communication, SDM support and transitions of care for patients and their families through their journey in the ICU, from discharge and recovery at home to chronic critical illness, post-ICU disability or death. Finally, we examine the evidence for strategies to incorporate specialty palliative medicine and palliative principles into ICU care for the improvement of patient- and family-centered care. While randomized controlled studies have failed to demonstrate measurable improvement in pre-determined outcomes for patient- and family-relevant outcomes, embracing the principles of palliative medicine and assuring their delivery in the ICU is likely to translate to overall improvement in humanistic, person-centered care that supports patients and their SDMs during and following critical illness.

Joint modeling in presence of informative censoring on the retrospective time scale with application to palliative care research

Joint modeling of longitudinal data such as quality of life data and survival data is important for palliative care researchers to draw efficient inferences because it can account for the associations between those two types of data. Modeling quality of life on a retrospective from death time scale is useful for investigators to interpret the analysis results of palliative care studies which have relatively short life expectancies. However, informative censoring remains a complex challenge for modeling quality of life on the retrospective time scale although it has been addressed for joint models on the prospective time scale. To fill this gap, we develop a novel joint modeling approach that can address the challenge by allowing informative censoring events to be dependent on patients' quality of life and survival through a random effect. There are two sub-models in our approach: a linear mixed effect model for the longitudinal quality of life and a competing-risk model for the death time and dropout time that share the same random effect as the longitudinal model. Our approach can provide unbiased estimates for parameters of interest by appropriately modeling the informative censoring time. Model performance is assessed with a simulation study and compared with existing approaches. A real-world study is presented to illustrate the application of the new approach.

Prevalence and Factors Associated With Palliative Care Utilization Among Hospitalized Patients With Gallbladder Cancer- A National Inpatient Sample Analysis

OBJECTIVES

Various factors have been associated with palliative utilization in different cancers. However, literature is still lacking on the prevalence and factors associated with palliative care use in gallbladder cancer (GBC). This study aims to determine the prevalence of palliative care utilization and examine the factors associated with palliative care utilization among patients with GBC.

METHODS

We conducted a retrospective analysis using the National Inpatient Sample between 2016 and 2018. Descriptive statistics were used to characterize the study population. We explored factors associated with palliative care utilization among hospitalized GBC patients using logistic regression.

RESULTS

Of the 20280 GBC hospitalizations, 18.0 % utilized palliative care. Multivariable analysis revealed that treatment at urban teaching hospitals, or treatment at urban nonteaching hospitals, Medicare insurance, other insurance coverage, transfer to a facility/discharge with home health, and death during hospital stay were associated with higher utilization of palliative care. In contrast, non-elective admissions were associated with decreased odds of palliative care utilization.

CONCLUSION

Palliative care use among GBC patients is still low at 18.0%. Palliative care use was associated with insurance disparities, discharge disposition, hospital location, and type of admission. Therefore, concerted efforts to address these disparities in palliative care utilization are needed to improve the quality of care for this population.

End of Life Outcomes Following Comfort Care Orders: A Single Center Experience

Background: Few studies have explored the outcomes of patients placed on comfort care with respect to hospice disposition. The objective of this study was to perform a retrospective analysis of patients who transitioned to comfort care. Methods: We conducted a retrospective study of patients placed on the comfort care order set between July 1st, 2021, until June 30th, 2022. Each individual patient chart was then analyzed to collect multiple clinical variables. IRB approval was obtained as per institutional guidelines. Results: 541 patients were included in the analysis. An average of 1.5 patients were placed on comfort care a day. 424 (78.37%) patients died while in the hospital. The median time on comfort care was 1 day. For subspecialty and hospital medicine patients the median time was 2 days. 40% of non-ICU patients were discharged with hospice services. 60% of patients were in the intensive care unit (ICU) and spent a median of 2.33 hours on comfort care. 19% of these patients were on comfort care for over 12 hours. 94% of the patients placed on comfort care in the ICU died in the hospital as compared to 53% of subspecialty and 59% of hospital medicine patients. Conclusions: The majority of patients placed on comfort care died during their hospitalization demonstrating a real need for comprehensive end of life care and immediate hospice services. For those discharged with hospice services, they spent an excessive amount of time in the hospital waiting for services to be arranged.

Association of patient socioeconomic status with outcomes after palliative treatment for disseminated cancer

BACKGROUND

Palliative treatment has been associated with improved quality of life and survival for a wide variety of metastatic cancers. However, it is unclear whether the benefits of palliative treatment are uniformly experienced across the US cancer population. We evaluated patterns and outcomes of palliative treatment based on socioeconomic, sociodemographic and treating facility characteristics.

METHODS

Patients diagnosed between 2008 and 2019 with Stage IV primary cancer of nine organ sites were analyzed in the National Cancer Database. The association between identified variables, and outcomes concerning the administration of palliative treatment were analyzed with multivariable logistic regression and Cox proportional hazard models.

RESULTS

Overall 238,995 (23.6%) of Stage IV patients received palliative treatment, which increased over time for all cancers (from 20.7% in 2008 to 25.6% in 2019). Palliative treatment utilization differed significantly by region (West less than Northeast, OR: 0.55 [0.54-0.56], p < 0.001) and insurance payer status (uninsured greater than private insurance, OR: 1.35 [1.32-1.39], p < 0.001). Black race and Hispanic ethnicity were also associated with lower rates of palliative treatment compared to White and non-Hispanics respectively (OR for Blacks: 0.91 [0.90-0.93], p < 0.001 and OR for Hispanics: 0.79 [0.77-0.81] p < 0.001).

CONCLUSIONS

There are important differences in the utilization of palliative treatment across different populations in the United States. A better understanding of variability in palliative treatment use and outcomes may identify opportunities to improve informed decision making and optimize quality of care at the end-of-life.

Patients' perception of the benefits of palliative systemic therapy for advanced cancer

BACKGROUND

Patients with advanced cancer who misunderstand their prognosis and chance of cure tend to overestimate the likely benefits of palliative systemic therapy.

AIM

To determine patient perceptions of palliative systemic therapy benefits in advanced cancer.

METHODS

We surveyed 104 outpatients with advanced cancer receiving systemic anticancer therapy and their treating oncologists. Patients recorded their understanding of treatment impact on chance of cure and symptoms. Life expectancy was estimated by patients and oncologists. A visual analogue scale (0-10) was used to record how patients and oncologists valued quality of life (QOL) and length of life (LOL) (<4 QOL most important; 4-7 QOL and LOL equal; >7 LOL most important). Patient-oncologist discordance was defined as a ≥4-point difference.

RESULTS

The main reasons patients selected for receiving treatment were to live longer (54%) and cure their cancer (36%). Most patients reported treatment was very/somewhat likely to prolong life (84%) and improve symptoms (76%), whereas 20% reported treatment was very/somewhat likely to cure their cancer. 42% of patients selected a timeframe for life expectancy (choice of four timeframes between <1 year and ≥5 years); of these, 62% selected a longer timeframe than their oncologist. When making treatment decisions, 71% of patients (52% of oncologists) valued QOL and LOL equally. Patient-oncologist discordance was 21%, mostly because of oncologists valuing QOL more than their patients (70%).

CONCLUSION

At least 20% of patients receiving systemic therapy for advanced cancer reported an expectation of cure. Most patients and oncologists value QOL and LOL equally when making treatment decisions.

Hospice and palliative care utilization in 16 004 232 medicare claims: comparing trauma to surgical and medical inpatients

Background

Hospice and palliative care (PC) utilization is increasing in geriatric inpatients, but limited research exists comparing rates among trauma, surgical and medical specialties. The goal of this study was to determine whether there are differences among these three groups in rates of hospice and PC utilization.

Methods

Patients from Centers for Medicare & Medicaid Services (CMS) Inpatient Standard Analytical Files for 2016-2020 aged ≥65 years were analyzed. Patients with a National Trauma Data Standard-qualifying ICD-10 injury code with abbreviated injury score ≥2 were classified as 'trauma'; the rest as 'surgical' or 'medical' using CMS MS-DRG definitions. Patients were classified as having PC if they had an ICD-10 diagnosis code for PC (Z51.5) and as hospice discharge (HD) if their hospital disposition was 'hospice' (home or inpatient). Use proportions for specialties were compared by group and by subgroups with increasing risk of poor outcome.

Results

There were 16M hospitalizations from 1024 hospitals (9.3% trauma, 26.3% surgical and 64.4% medical) with 53.7% women, 84.5% white and 38.7% >80 years. Overall, 6.2% received PC and 4.1% a HD. Both rates were higher in trauma patients (HD: 3.6%, PC: 6.3%) versus surgical patients (HD: 1.5%, PC: 3.0%), but lower than in medical patients (HD: 5.2%, PC: 7.5%). PC rates increased in higher risk patient subgroups and were highest for inpatient HD.

Conclusions

In this large study of Medicare patients, HD and PC rates varied significantly among specialties. Trauma patients had higher HD and PC utilization rates than surgical, but lower than medical. The presence of comorbidities, frailty and/or severe traumatic brain injury (in addition to advanced age) may be valuable criteria in selection of trauma patients for hospice and PC services. Further studies are needed to inform the most efficient use of hospice and PC resources, with particular focus on both timing and selection of subgroups most likely to benefit from these valuable yet limited resources.

Level of evidence

Level III, therapeutic/care management.

Trends in Specialty Palliative Care Service Utilization and In-Hospital Outcomes for Patients With Amyotrophic Lateral Sclerosis

Background: Hospitalized people with amyotrophic lateral sclerosis (ALS) may benefit from specialty palliative care services (sPCS). Objective: To describe access to in-hospital sPCS for people with ALS (pALS). Methods: We compared years 2010-2011 to 2018-2019, and conducted trend analyses of sPCS from 2010 to 2019 stratified by race. Results: Of 103,193 pALS admitted during the study period, 13,885 (13.4%) received sPCS. Rates of sPCS increased over time (2010-2011: 8.9% vs. 2018-2019: 16.6%; p < 0.01). From 2010 to 2019, there was an increase in sPCS (p-trend<0.01) for all studied racial groups. Conclusions: Access to palliative care has increased over time for pALS admitted to hospitals in the United States.

Palliative Care as a Component of High-Value and Cost-Saving Care During Hospitalization for Metastatic Cancer

PURPOSE

Randomized controlled trials have demonstrated that palliative care (PC) can improve quality of life and survival for outpatients with advanced cancer, but there are limited population-based data on the value of inpatient PC. We assessed PC as a component of high-value care among a nationally representative sample of inpatients with metastatic cancer and identified hospitalization characteristics significantly associated with high costs.

METHODS

Hospitalizations of patients 18 years and older with a primary diagnosis of metastatic cancer from the National Inpatient Sample from 2010 to 2019 were analyzed. We used multivariable mixed-effects logistic regression to assess medical services, patient demographics, and hospital characteristics associated with higher charges billed to insurance and hospital costs. Generalized linear mixed-effects models were used to determine cost savings associated with provision of PC.

RESULTS

Among 397,691 hospitalizations from 2010 to 2019, the median charge per admission increased by 24.9%, from $44,904 in US dollars (USD) to $56,098 USD, whereas the median hospital cost remained stable at $14,300 USD. Receipt of inpatient PC was associated with significantly lower charges (odds ratio [OR], 0.62 [95% CI, 0.61 to 0.64]; P < .001) and costs (OR, 0.59 [95% CI, 0.58 to 0.61]; P < .001). Factors associated with high charges were receipt of invasive medical ventilation (P < .001) or systemic therapy (P < .001), Hispanic patients (P < .001), young age (18-49 years, P < .001), and for-profit hospitals (P < .001). PC provision was associated with a $1,310 USD (-13.6%, P < .001) reduction in costs per hospitalization compared with no PC, independent of the receipt of invasive care and age.

CONCLUSION

Inpatient PC is associated with reduced hospital costs for patients with metastatic cancer, irrespective of age and receipt of aggressive interventions. Integration of inpatient PC may de-escalate costs incurred through low-value inpatient interventions.

Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies

Globally, malignancies cause one out of six mortalities, which is a serious health problem. Cancer therapy has always been challenging, apart from major advances in immunotherapies, stem cell transplantation, targeted therapies, hormonal therapies, precision medicine, and palliative care, and traditional therapies such as surgery, radiation therapy, and chemotherapy. Natural products are integral to the development of innovative anticancer drugs in cancer research, offering the scientific community the possibility of exploring novel natural compounds against cancers. The role of natural products like Vincristine and Vinblastine has been thoroughly implicated in the management of leukemia and Hodgkin's disease. The computational method is the initial key approach in drug discovery, among various approaches. This review investigates the synergy between natural products and computational techniques, and highlights their significance in the drug discovery process. The transition from computational to experimental validation has been highlighted through in vitro and in vivo studies, with examples such as betulinic acid and withaferin A. The path toward therapeutic applications have been demonstrated through clinical studies of compounds such as silvestrol and artemisinin, from preclinical investigations to clinical trials. This article also addresses the challenges and limitations in the development of natural products as potential anti-cancer drugs. Moreover, the integration of deep learning and artificial intelligence with traditional computational drug discovery methods may be useful for enhancing the anticancer potential of natural products.

High-quality patient-centered palliative care: interprofessional team members' perceptions of social workers' roles and contribution

A core tenet of interprofessional collaborative practice (IPCP) is that efficient and effective teams are critical for the delivery of high-quality, patient-centered care. Although palliative care has a history of excellent care, increasing demands and larger patient loads are challenging teams to adapt and strengthen team functioning in hospital settings. The purpose of this qualitative study was to better understand the IPCP contributions of advanced palliative social workers (PSWs) through the eyes of their colleagues. Twenty-four interprofessional palliative care (IPPC) team members from other professions (i.e. nurse practitioners, physicians, physician assistants) from 16 hospitals across the U.S. participated in 20-minute semi-structured interviews. The Patient-Centered Clinical Method (PCCM) was used as a conceptual model to aid in the interpretation of the data. This model illuminated the centrality of PSWs' role in building and sustaining a therapeutic alliance between the patient and the IPPC team, through assessing and promoting care that centers the patient's experience with illness, creating space to initiate, process and revisit difficult healthcare conversations and helping to modulate the pace and intensity of emotionally laden discussions. PSWs also support the therapeutic relationship with the IPPC team by providing continuity and connection across and during the hospital experience and supporting the well-being of the IPPC team. This study offers novel insights into how PSWs contribute to patient-centered IPPC and furthers the articulation of the role of PSWs in hospital settings.

Patterns of Palliative Treatments in Stage IV Esophageal Cancer

Background: The 5 year survival rate of esophageal cancer is under 20%. Studies have shown that early palliative treatments can improve patient quality of life and lower depressed mood without expediting mortality. Despite these benefits, few studies have analyzed factors associated with the national variation among patients who received palliative treatment for esophageal cancer. Methods: This is a retrospective study of adults diagnosed with stage IV esophageal cancer between 2004 and 2018 in the National Cancer Database (NCDB) who received palliative treatment or not (n = 43,599). Cross tabulation and binary logistic regression were performed and evaluated using SPSS. Exclusion criteria included concurrent tumors, patients under age 18, and missing data. Results: Of the 43,599 patients, 26.1% of patients received palliative interventions (n = 11,371). The majority of palliative treatment patients lived less than 6 months after diagnosis (54%) and received radiation (35.7%) or chemotherapy (34.5%) with palliative intent. The patients who received palliative treatment tended to be non-Hispanic (96.6%), white (87.2%), male (83.3%) patients between age 61 and 75 (43.8%) at a comprehensive community cancer program (38.7%) with adenocarcinoma histology (71.8%). Palliative treatment patients most commonly relied on Medicare as their primary payor (45.9%) and had a median household income over $48,000 (54.5%). Conclusion: We identified trends among stage IV esophageal cancer patients receiving palliative treatments. Patients receiving palliative treatments tended to be white, non-Hispanic men. Compared to patients who did not receive palliating treatments, this cohort was more likely to receive treatment at a comprehensive, academic, or integrated network facility.

Rural Hospital Disparities in Goals of Care Documentation

CONTEXT

Goals of care conversations for seriously ill hospitalized patients are associated with high-quality patient-centered care.

OBJECTIVES

We aimed to assess the prevalence of documented goals of care conversations for rural hospitalized patients compared to nonrural hospitalized patients.

METHODS

We retrospectively assessed goals of care documentation using a template note for adult patients with predicted 90-day mortality greater than 30% admitted to eight rural and nine nonrural community hospitals between July 2021 and April 2023. We compared predictors and prevalence of goals of care documentation among rural and nonrural hospitals.

RESULTS

Of the 31,098 patients admitted during the study period, 21% were admitted to a rural hospital. Rural patients were more likely than nonrural patients to be >65 years old (89% vs. 86%, P = <.0001), more likely to live in a neighborhood classified in the highest quintile of socioeconomic disadvantage (40% vs. 16%, P = <.0001), and less likely to receive a palliative care consult (8% vs. 18%, P = <.0001). Goals of care documentation occurred less often for patients admitted to rural vs. nonrural community hospitals (2% vs. 7%, P < .0001). In the base multivariable logistic regression model adjusting for patient characteristics, the odds of goals care documentation were lower in rural vs. nonrural community hospitals (aOR 0.4, P = .0232). In a second multivariable logistic regression model including both patient characteristics and severity of illness, the odds of goals of care documentation in rural community hospitals were no longer statistically different than nonrural community hospitals (aOR 0.5, P = .1080). Patients who received a palliative care consult had a lower prevalence of goals of care documentation in rural vs. nonrural hospitals (16% vs. 37%, P = <.0001).

CONCLUSION

In this study of 17 rural and nonrural community hospitals, we found low overall prevalence of goals of care documentation with particularly infrequent documentation occurring within rural hospitals. Future study is needed to assess barriers to goals of care documentation contributing to low prevalence of goals of care conversations in rural hospital settings.

Survey of Palliative Care Use in Primary Malignant Bone Tumors: A National Cancer Database Review

Background/Objectives: Palliative care (PC) has been associated with reduced patient symptom burden, improved physician satisfaction, and reduced cost of care. However, its use in primary bone tumors has not been well classified. Design/Setting and Subjects: Patients diagnosed with primary malignant bone tumors (osteosarcoma, chondrosarcoma, Ewing sarcoma, and chordoma) between 2004 and 2018 were identified in the National Cancer Database. Cross tabulations with chi-square analysis were performed to evaluate frequencies of PC use by patient, facility, and tumor characteristics. Multivariate logistic binary regression was performed to evaluate relationships between patient, treatment facility, and tumor characteristics and the use of PC. Results: Around 24,401 patients were identified. Overall, 2.52% had any form of PC utilization. Of those receiving PC, 55.5-65.1% were treated with only noncurative surgery, radiation, chemotherapy, or any combination of these modalities. Odds of PC utilization were decreased for patients with chordomas, patients living >24 miles from the treatment facility, or patients with private insurance, Medicare, or unknown insurance status. Odds of PC utilization were increased in patients with greater tumor diameter or unknown tumor size, tumors in midline, increased tumor grade, stage IV tumors, or living in urban areas. Conclusion: PC use in patients with primary bone tumors increases with tumor stage, tumor grade, tumor size, and if the tumor is midline, and in patients living in urban areas. However, overall utilization remains markedly low. Future studies should be done to investigate these patterns of care and help expand the utilization of PC.

Public Health and Palliative Care

Meeting the needs of people at the end of life (EOL) is a public health (PH) concern, yet a PH approach has not been widely applied to EOL care. The design of hospice in the United States, with its focus on cost containment, has resulted in disparities in EOL care use and quality. Individuals with non-cancer diagnoses, minoritized individuals, individuals of lower socioeconomic status, and those who do not yet qualify for hospice are particularly disadvantaged by the existing hospice policy. New models of palliative care (both hospice and non-hospice) are needed to equitably address the burden of suffering from a serious illness.

Functional Status Changes in Patients Receiving Palliative Care Consult During COVID-19 Pandemic

CONTEXT

Hospitalized patients with functional impairment have higher symptom burden and mortality. Little is known about how increased patient volume and acuity during the coronavirus disease 2019 (COVID-19) pandemic affected access to palliative care among patients with functional impairment.

OBJECTIVES

To examine changes in functional status and hospital outcomes among patients receiving inpatient palliative care consultation before, during and after the COVID-19 pandemic.

METHODS

We conducted a retrospective, multisite cohort study of all adult patients (≥ 18 years) admitted to four hospitals in New York City, USA, who received inpatient palliative care consultation between March 1, 2019 and February 28, 2022 with documented functional status at the time of consultation measured by Karnofsky Performance Status scale.

RESULTS

Among 13,180 eligible patients identified, patients' functional status at the time of consultation decreased as palliative care consult volume increased with the onset of the pandemic. Compared to pre-pandemic, there was a statistically significant trend of lower functional status (P < 0.001) and higher in-hospital mortality (P < 0.001) among patients with noncancer and non-COVID-19 diagnoses two years after the pandemic. In contrast, patients with cancer had a statistically significant trend of higher functional status (P < 0.001) and no significant changes in in-hospital mortality over time.

CONCLUSION

As the healthcare system was stressed with high demand and limited resources, palliative care consultation prioritized highest acuity patients by shifting towards those with lower functional status and higher in-hospital mortality. This shift disproportionately affected noncancer patients. Innovative approaches to ensure upstream palliative care consultation during increased resource constraints are needed.

Medicaid Expansion Associated With Increase In Palliative Care For People With Advanced-Stage Cancers

Clinical guidelines have endorsed early palliative care for patients with advanced malignancies, but receipt remains low in the US. This study examined the association between Medicaid expansion under the Affordable Care Act and receipt of palliative care among patients newly diagnosed with advanced-stage cancers. Using the National Cancer Database, we found that the percentage of eligible patients who received palliative care as part of first-course treatment increased from 17.0 percent preexpansion to 18.9 percent postexpansion in Medicaid expansion states and from 15.7 percent to 16.7 percent, respectively, in nonexpansion states, resulting in a net increase of 1.3 percentage points in expansion states in adjusted analyses. Increases in receipt of palliative care associated with Medicaid expansion were largest for patients with advanced pancreatic, colorectal, lung, and oral cavity and pharynx cancers and non-Hodgkin lymphoma. Our findings suggest that increasing Medicaid coverage facilitates access to guideline-based palliative care for advanced cancer, and they provide additional evidence of benefit in cancer care from states' expansion of income eligibility for Medicaid.

Effect of an Artificial Intelligence Decision Support Tool on Palliative Care Referral in Hospitalized Patients: A Randomized Clinical Trial

CONTEXT

Palliative care services are commonly provided to hospitalized patients, but accurately predicting who needs them remains a challenge.

OBJECTIVES

To assess the effectiveness on clinical outcomes of an artificial intelligence (AI)/machine learning (ML) decision support tool for predicting patient need for palliative care services in the hospital.

METHODS

The study design was a pragmatic, cluster-randomized, stepped-wedge clinical trial in 12 nursing units at two hospitals over a 15-month period between August 19, 2019, and November 17, 2020. Eligible patients were randomly assigned to either a medical service consultation recommendation triggered by an AI/ML tool predicting the need for palliative care services or usual care. The primary outcome was palliative care consultation note. Secondary outcomes included: hospital readmissions, length of stay, transfer to intensive care and palliative care consultation note by unit.

RESULTS

A total of 3183 patient hospitalizations were enrolled. Of eligible patients, A total of 2544 patients were randomized to the decision support tool (1212; 48%) and usual care (1332; 52%). Of these, 1717 patients (67%) were retained for analyses. Patients randomized to the intervention had a statistically significant higher incidence rate of palliative care consultation compared to the control group (IRR, 1.44 [95% CI, 1.11-1.92]). Exploratory evidence suggested that the decision support tool group reduced 60-day and 90-day hospital readmissions (OR, 0.75 [95% CI, 0.57, 0.97]) and (OR, 0.72 [95% CI, 0.55-0.93]) respectively.

CONCLUSION

A decision support tool integrated into palliative care practice and leveraging AI/ML demonstrated an increased palliative care consultation rate among hospitalized patients and reductions in hospitalizations.

Place of Death From Cancer in US States With vs Without Palliative Care Laws

Importance

In the US, improving end-of-life care has become increasingly urgent. Some states have enacted legislation intended to facilitate palliative care delivery for seriously ill patients, but it is unknown whether these laws have any measurable consequences for patient outcomes.

Objective

To determine whether US state palliative care legislation is associated with place of death from cancer.

Design, Setting, and Participants

This cohort study with a difference-in-differences analysis used information about state legislation combined with death certificate data for 50 US states (from January 1, 2005, to December 31, 2017) for all decedents who had any type of cancer listed as the underlying cause of death. Data analysis for this study occurred between September 1, 2021, and August 31, 2022.

Exposures

Presence of a nonprescriptive (relating to palliative and end-of-life care without prescribing particular clinician actions) or prescriptive (requiring clinicians to offer patients information about care options) palliative care law in the state-year where death occurred.

Main Outcomes and Measures

Multilevel relative risk regression with state modeled as a random effect was used to estimate the likelihood of dying at home or hospice for decedents dying in state-years with a palliative care law compared with decedents dying in state-years without such laws.

Results

This study included 7 547 907 individuals with cancer as the underlying cause of death. Their mean (SD) age was 71 (14) years, and 3 609 146 were women (47.8%). In terms of race and ethnicity, the majority of decedents were White (85.6%) and non-Hispanic (94.1%). During the study period, 553 state-years (85.1%) had no palliative care law, 60 state-years (9.2%) had a nonprescriptive palliative care law, and 37 state-years (5.7%) had a prescriptive palliative care law. A total of 3 780 918 individuals (50.1%) died at home or in hospice. Most decedents (70.8%) died in state-years without a palliative care law, while 15.7% died in state-years with a nonprescriptive law and 13.5% died in state-years with a prescriptive law. Compared with state-years without a palliative care law, the likelihood of dying at home or in hospice was 12% higher for decedents in state-years with a nonprescriptive palliative care law (relative risk, 1.12 [95% CI 1.08-1.16]) and 18% higher for decedents in state-years with a prescriptive palliative care law (relative risk, 1.18 [95% CI, 1.11-1.26]).

Conclusions and Relevance

In this cohort study of decedents from cancer, state palliative care laws were associated with an increased likelihood of dying at home or in hospice. Passage of state palliative care legislation may be an effective policy intervention to increase the number of seriously ill patients who experience their death in such locations.

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.].

A framework to identify ethical concerns with ML-guided care workflows: a case study of mortality prediction to guide advance care planning

OBJECTIVE

Identifying ethical concerns with ML applications to healthcare (ML-HCA) before problems arise is now a stated goal of ML design oversight groups and regulatory agencies. Lack of accepted standard methodology for ethical analysis, however, presents challenges. In this case study, we evaluate use of a stakeholder "values-collision" approach to identify consequential ethical challenges associated with an ML-HCA for advanced care planning (ACP). Identification of ethical challenges could guide revision and improvement of the ML-HCA.

MATERIALS AND METHODS

We conducted semistructured interviews of the designers, clinician-users, affiliated administrators, and patients, and inductive qualitative analysis of transcribed interviews using modified grounded theory.

RESULTS

Seventeen stakeholders were interviewed. Five "values-collisions"-where stakeholders disagreed about decisions with ethical implications-were identified: (1) end-of-life workflow and how model output is introduced; (2) which stakeholders receive predictions; (3) benefit-harm trade-offs; (4) whether the ML design team has a fiduciary relationship to patients and clinicians; and, (5) how and if to protect early deployment research from external pressures, like news scrutiny, before research is completed.

DISCUSSION

From these findings, the ML design team prioritized: (1) alternative workflow implementation strategies; (2) clarification that prediction was only evaluated for ACP need, not other mortality-related ends; and (3) shielding research from scrutiny until endpoint driven studies were completed.

CONCLUSION

In this case study, our ethical analysis of this ML-HCA for ACP was able to identify multiple sites of intrastakeholder disagreement that mark areas of ethical and value tension. These findings provided a useful initial ethical screening.

Palliative care and healthcare utilization among metastatic breast cancer patients in U.S. Hospitals

There is a lack of research focused on understanding the different characteristics and healthcare utilization of metastatic breast cancer patients by palliative care use. This study aims to investigate trend of in-patient palliative care and its association with healthcare utilization among hospitalized metastatic breast cancer patients in the US. National Inpatient Sample (NIS) was used to identify nationwide metastatic breast cancer patients (n = 5209, weighted n = 25,961) from 2010 to 2014. We examined the characteristics of the study sample by palliative care and its association with healthcare utilization, measured by discounted hospital charges and length of stay. Multivariable survey regression models were used to identify predictors. Among 26,961 breast cancer patients, 19.0% had palliative care. Percentage of receiving palliative care during the period were gradually increased. Social factors including race, insurance types were also associated with a receipt of palliative care. Survey linear regression results showed that patients with palliative care were associated with 31% lower hospital charges, however, length of stays were not significantly associated. This study found evidence of who was associated with the receipt of palliative care and its relationship with healthcare utilization. This study also emphasizes the importance of receiving palliative care in patients with breast cancer, paving the way for future research into ways to improve palliative care in cancer patients. This study also found social differences and gave evidence of programs that could be used to help vulnerable groups in future health policy decisions.

Palliative Care TikTok: Describing the Landscape and Explaining Social Media Engagement

Background: Although palliative care programs are beneficial to patients and families, most of the public is unfamiliar with and underutilizes palliative services. TikTok, a fast-growing social media platform worldwide, allows users to share short live-recorded videos and could be used to educate the public about palliative care. Objective: This study characterized palliative care TikTok videos and determined characteristics associated with higher user engagement metrics (views, likes, comments, and shares). Methods: The investigators analyzed the content and engagement metrics of palliative care TikTok videos. Each video was coded for author type (health care professional, patient, caregiver, or other) and demographics, features, and themes. Negative binomial regression analyses identified whether author type and themes were associated with engagement statistics. Results: After screening 510 videos, 146 met criteria for analysis. The most prominent author types were health care professionals (55.5%), followed by patients (32.9%) and caregivers (7.5%). Authors were often female (71.2%) and played music (59.5%) while talking (45.9%). Themes were describing personal experiences (47.3%), educating (39.7%), addressing misconceptions (16.4%), responding to questions and comments (14.4%), and raising awareness (11.0%). Caregivers' videos were most likely to be viewed (p = 0.003) and liked (p < 0.001), whereas health care professionals' videos were most frequently shared (p = 0.01). Engagement was highest among videos describing personal experiences (views: p < 0.001, likes: p = 0.002, shares: p = 0.003) and educating (views: p = 0.005, likes: p = 0.002, comments: p = 0.02, shares: p < 0.001). Conclusion: TikTok provides an interactive platform for patients, professionals, and caregivers to share information and experiences about palliative care, making it potentially valuable for explaining palliative care to the public.

Predictors of Documented Goals-of-Care Discussion for Hospitalized Patients With Chronic Illness

CONTEXT

Goals-of-care discussions are important for patient-centered care among hospitalized patients with serious illness. However, there are little data on the occurrence, predictors, and timing of these discussions.

OBJECTIVES

To examine the occurrence, predictors, and timing of electronic health record (EHR)-documented goals-of-care discussions for hospitalized patients.

METHODS

This retrospective cohort study used natural language processing (NLP) to examine EHR-documented goals-of-care discussions for adults with chronic life-limiting illness or age ≥80 hospitalized 2015-2019. The primary outcome was NLP-identified documentation of a goals-of-care discussion during the index hospitalization. We used multivariable logistic regression to evaluate associations with baseline characteristics.

RESULTS

Of 16,262 consecutive, eligible patients without missing data, 5,918 (36.4%) had a documented goals-of-care discussion during hospitalization; approximately 57% of these discussions occurred within 24 hours of admission. In multivariable analysis, documented goals-of-care discussions were more common for women (OR=1.26, 95%CI 1.18-1.36), older patients (OR=1.04 per year, 95%CI 1.03-1.04), and patients with more comorbidities (OR=1.11 per Deyo-Charlson point, 95%CI 1.10-1.13), cancer (OR=1.88, 95%CI 1.72-2.06), dementia (OR=2.60, 95%CI 2.29-2.94), higher acute illness severity (OR=1.12 per National Early Warning Score point, 95%CI 1.11-1.14), or prior advance care planning documents (OR=1.18, 95%CI 1.08-1.30). Documentation of these discussions was less common for racially or ethnically minoritized patients (OR=0.823, 95%CI 0.75-0.90).

CONCLUSION

Among hospitalized patients with serious illness, documented goals-of-care discussions identified by NLP were more common among patients with older age and increased burden of acute or chronic illness, and less common among racially or ethnically minoritized patients. This suggests important disparities in goals-of-care discussions.

Prospective Cohort Study on the Impact of Early Versus Late Inpatient Palliative Care on Length of Stay and Cost of Care

Aim: To evaluate the impact of early vs late palliative care on (1) length of stay (LOS) in the context of expected LOS measures and (2) total cost of care to the hospital for each patient. Methods: A prospective cohort study was performed at a single large academic medical center on patients who received an inpatient palliative care consultation. The two cohorts were early palliative care (within 3 days of admission) and late palliative care (after 3 days of admission). Comparisons were made between patients' actual LOS, expected LOS, and total hospital costs between both cohorts. Results: Compared to the late palliative care cohort (N = 126), patients who received early palliative care (N = 68) had a significantly shorter LOS (P < .001) and also performed better compared to CMS-Expected LOS standards (Observed/Expected 3.1 vs 1.5 respectively; P < .001). Early palliative care patients also saw an average decline of $1431 in total costs 1-day pre/post consult as opposed to a more modest $403 decline in the later palliative care cohort (P < .001). Similarly, patients who received early palliative care had a $5839 decline in aggregated total 3-day costs, as opposed to a $1478 decline in those who received late palliative care (P < .001). Conclusions: In the competitive and rapidly evolving healthcare system, the opportunity to suppress costs and lower patient LOS has increasing importance. Our study strongly supports the implementation of earlier palliative care intervention to assist hospitals in approaching LOS targets and reducing patient costs.

Effectiveness and cost-effectiveness of palliative care in natural experiments: a systematic review

CONTEXT

Investigators in palliative care rely heavily on routinely collected data, which carry risk of unobserved confounding and selection bias. 'Natural experiments' offer opportunities to generate credible causal treatment effect estimates from observational data.

OBJECTIVES

We aimed first to review studies that employed 'natural experiments' to evaluate palliative care, and second to consider implications for expanding use of these methods.

METHODS

We searched systematically seven databases to identify studies using 'natural experiments' to evaluate palliative care's effect on outcomes and costs. We searched three grey literature repositories, and hand-searched journals and prior systematic reviews. We assessed reporting using the Strengthening the Reporting of Observational Studies in Epidemiology checklist and a bespoke methodological quality tool, using two reviewers at each stage. We combined results in a narrative synthesis.

RESULTS

We included 17 studies, which evaluated a wide range of interventions and populations. Seven studies employed a difference-in-differences design; five each used instrumental variables and interrupted time series analysis. Outcomes of interest related mostly to healthcare use. Reporting quality was variable. Most studies reported lower costs and improved outcomes associated with palliative care, but a third of utilisation and place of death evaluations found no effect.

CONCLUSION

Among the large number of observational studies in palliative care, a small minority have employed causal mechanisms. High-volume routine data collection, the expansion of palliative care services worldwide and recent methodological advances offer potential for increased use of 'natural experiments'. Such studies would improve the quality of the evidence base.

Top Ten Tips Palliative Care Clinicians Should Know About Leveraging the Electronic Health Record for Data Collection and Quality Improvement

As palliative care (PC) programs rapidly grow and expand across settings, the need to measure, improve, and standardize high-quality PC has also grown. The electronic health record (EHR) is a key component of these efforts as a central hub of care delivery and a repository of patient and system data. Deliberate efforts to leverage the EHR for PC quality improvement (QI) can help PC programs and health systems improve care for patients with serious illnesses. This article, written by clinicians with experience in QI, informatics, and clinical program development, provides practical tips and guidance on EHR strategies and tools for QI and quality measurement.

Providing Palliative Care to Patients Throughout the State of Indiana from a Centralized Virtual Palliative Care Hub

BACKGROUND

Access to palliative care clinicians is a limited resource. Expanding the reach of existing palliative care expertise by utilizing virtual care is one strategy to reach areas that lack access. We delivered virtual services through a centralized hub across multiple health settings and tracked outcomes.

METHODS

Through a centralized virtual palliative care hub based in an urban academic health center, access to specialty palliative care was offered across homes, critical access hospitals (CAHs), and extended care facilities (ECFs) in the state of Indiana. Webpage-based platforms were used, and hardware included a cart on wheels for rural hospital sites. Data specific to palliative care were monitored for each encounter.

RESULTS

Over one year, 372 patients were seen for virtual palliative care consultations, of whom 275 (73.9%) were seen in the outpatient setting (where the patient was at home or in an ECF) and 97 (26.1%) were inpatient visits performed in CAHs. Visits occurred with patients from almost all counties in Indiana. Advance directives were established for 286 (76.9%) patients seen, and 107 (28.8%) patients were referred to hospice.

CONCLUSION

Specialty palliative care is a limited resource that has been further constrained by the COVID-19 pandemic. Our experience demonstrates that centralized virtual hub-based palliative care can be leveraged to provide effective, patient-centered, and compassionate care in regions without a specialist and has the potential to improve access to specialty palliative care.

Palliative care and imaging utilisation for patients with cancer

OBJECTIVE

This observational study explores the association between palliative care (PC) involvement and high-cost imaging utilisation for patients with cancer patients during the last 3 months of life.

METHODS

Adult patients with cancer who died between 1 January 2012 and 31 May 2015 were identified. Referral to PC, intensity of PC service use, and non-emergent oncological imaging utilisation were determined. Associations between PC utilisation and proportion of patients imaged and mean number of studies per patient (mean imaging intensity (MII)) were assessed for the last 3 months and the last month of life. Similar analyses were performed for randomly matched case-control pairs (n = 197). Finally, the association between intensity of PC involvement and imaging utilisation was assessed.

RESULTS

3784 patients were included, with 3523 (93%) never referred to PC and 261 (7%) seen by PC, largely before the last month of life (61%). Similar proportions of patients with and without PC referral were imaged during the last 3 months, while a greater proportion of patients with PC referral were imaged in the last month of life. PC involvement was not associated with significantly different MII during either time frame. In the matched-pairs analysis, a greater proportion of patients previously referred to PC received imaging in the period between the first PC encounter and death, and in the last month of life. MII remained similar between PC and non-PC groups. Finally, intensity of PC services was similar for imaged and non-imaged patients in the final 3 months and 1 month of life. During these time periods, increased PC intensity was not associated with decreased MII.

CONCLUSIONS

PC involvement in end-of-life oncological care was not associated with decreased use of non-emergent, high-cost imaging. The role of advanced imaging in the PC setting requires further investigation.

A Tale of Two Trials: A Comparative Case Study of Successful versus Terminated Home-Based Palliative Care Trials

Background: In 2007 we published a trial of home-based palliative care (HBPC) conducted in a managed care organization (MCO) that found significant improvements in patient satisfaction with health care, rates of home deaths, and reductions in health care use and costs. A decade later, we undertook a similar trial of HBPC within accountable care organizations (ACOs) funded by the Patient-Centered Outcomes Research Institute. This trial tested the same model using similar eligibility criteria and recruitment strategies as the earlier trial, yet it failed to achieve its enrollment targets. Objectives: To understand key differences in the trials that contributed to the success of one and failure of the other. Methods: We conducted a comparative case study of the original MCO HBPC trial and the subsequent ACO HBPC trial. Two researchers familiar with both trials reviewed both quantitative and qualitative data obtained from previous analyses and publications to develop a rich, in-depth understanding of each study. Results: We identified four differences that explain in large part why the ACO trial failed while the MCO trial succeeded. These differences center on the trials' setting, target populations, outreach strategies, and providers' understanding of palliative care. Discussion: Our findings demonstrate the challenges in conducting research in complex health care systems and how physician and setting structures along with target population and lack of general palliative care knowledge can influence the success of research. Conclusion: Future HBPC trials must consider the strengths and weaknesses of trial design factors when partnering with multiple health care organizations. ClinicalTrials.gov Identifier: NCT03128060.

Utilization of Palliative Care in Osteosarcoma: A National Cancer Database Review

Background: Osteosarcoma is the most common form of bone cancer, but the utilization of palliative care (PC) in patients with this cancer has not previously been investigated in the National Cancer Database (NCDB). Methods: Patients diagnosed with osteosarcoma (2004-2017) were identified within the NCDB. Cross tabulations with Chi-square analysis were performed to evaluate frequencies of palliative care use by patient, facility, and tumor characteristics. Multivariate logistic binary regression was performed to evaluate relationships between patient, treatment facility, and tumor characteristics and the use of palliative care. Results: A total of 7498 patients were analyzed with 2.8% of patients diagnosed having any form of palliative care utilization. Of this group, 53.37% received PC within the first 12 months after diagnosis. Of the 2.8% of patients receiving PC the most common forms of PC utilized were non-curative symptom-directed surgery, radiation, or chemotherapy, or a combination of these modalities (56.7%). Palliative care usage was increased in patients with greater tumor diameter, tumors in the bones of the midline, or stage IV tumors. Palliative care usage was decreased in patients living within 25-49 miles of their treatment facility, those living in pacific states, those with chondroblastic osteosarcoma, or those with private insurance. Conclusion: Palliative care use in patients with osteosarcoma increases with tumor stage, tumor size, or more proximal tumors, but overall utilization remains markedly low. Future studies should further define these patterns of care and help expand the utilization of PC.

A qualitative analysis of educational, professional and socio-cultural issues affecting interprofessional collaboration in oncology palliative care

OBJECTIVES

Oncology palliative care (PC) services seek to improve quality of life in patients with cancer. PC providers face significant systemic obstacles, stemming from insufficient collaboration between healthcare providers. This study explores these obstacles and strategies to help facilitate successful collaboration amongst healthcare providers at a systemic level.

METHODS

A multicenter qualitative study was conducted via interviews and focus groups. Fifty employees in Italian-speaking Switzerland were interviewed, along with ten relatives of oncology patients. Framework analysis was used to identify and categorize the most prominent themes.

RESULTS

Three main themes were identified: knowledge of and connection to other healthcare approaches; beliefs, attitudes and behavior regarding collaboration; and values, attitudes and beliefs towards life, end-of-life and optimal care approaches for oncology patients.

CONCLUSIONS

Strategies that promote interprofessional collaboration and oncology PC services should foster a cultural shift towards perceiving these services as a medical specialty, thereby contributing to quality patient care.

IMPLICATIONS

An overview of potential limitations is provided, in addition to a timeline of interprofessional collaboration which would help to optimize oncology PC services.

Palliative care and healthcare utilization among deceased metastatic lung cancer patients in U.S. hospitals

OBJECTIVE

The benefits of palliative care for cancer patients were well developed; however, the characteristics of receiving palliative care and the utilization patterns among lung cancer patients have not been explored using a large-scale representative population-based sample.

METHODS

The National Inpatient Sample of the United States was used to identify deceased metastatic lung cancer patients (n = 5,068, weighted n = 25,121) from 2010 to 2014. We examined the characteristics of receiving palliative care use and the association between palliative care and healthcare utilization, measured by discounted hospital charges and LOS (length of stay). The multivariate survey logistic regression model (to identify predictors for receipts of palliative care) and the survey linear regression model (to measure how palliative care is associated with healthcare utilization) were used.

RESULTS

Among 25,121 patients, 50.1% had palliative care during the study period. Survey logistic results showed that patients with higher household income were more likely to receive palliative care than those in lower-income groups. In addition, during hospitalization, receiving palliative care was associated with11.2% lower LOS and 28.4% lower discounted total charges than the non-receiving group.

CONCLUSION

Clinical evidence demonstrates the benefits of palliative care as it is associated with efficient end-of-life healthcare utilization. Health policymakers must become aware of the characteristics of receiving the care and the importance of limited healthcare resource allocation as palliative care continues to grow in cancer treatment.

Local Supply Of Postdischarge Care Options Tied To Hospital Readmission Rates

The extent to which patients' risk for readmission after a hospitalization is influenced by local availability of postdischarge care options is not currently known. We used national, hospital-level data to assess whether the supply of postdischarge care options in hospitals' catchment areas was associated with readmission rates for Medicare patients after hospitalizations for acute myocardial infarction, heart failure, or pneumonia. Overall, readmission rates were negatively associated with per capita supply of primary care physicians (-0.16 percentage points per standard deviation) and licensed nursing home beds (-0.09 percentage points per standard deviation). In contrast, readmission rates were positively associated with per capita supply of nurse practitioners (0.09 percentage points per standard deviation). Our results suggest potential modifications to the Hospital Readmissions Reduction Program to account for local health system characteristics when assigning penalties to hospitals.

Lesson Learned From Hospital Palliative Care Service in a Cancer Research Center in Italy: Results of 5 Years of Experience

Background

International studies have documented that over a third of all hospital beds are occupied by patients with palliative care needs in their last year of life. Experiences of Palliative Care Services that take place prevalently or exclusively in hospital settings are very few in Italy.

Objective

Describe clinical, educational and research activities performed by a hospital PCS and discussing opportunities and critical issues encountered in an Italian Cancer Center.

Method

Retrospective data regarding adults with advanced stage diseases referred from January 2015 to December 2019.

Results

Clinical activity - The PCS performed 2422 initial consultations with an average of 484 initial consultations per year. A majority of patients had advanced cancer, from 85% to 72%, with an average of 2583 total consultations per year and an average of 4.63 consultations per patient. The penetrance has increased over time from 6.3% to 15.75%. Educational and research activity - Since 2015, PCS has provided training to health professionals (HPs) of different departments of our hospital. Most of the educational projects for HPs were part of research projects, for example the communication training program, management of pain and end-of-life symptoms and the training program for PC-based skills.

Conclusion

Our data suggests that a PCS able to provide palliative care to inpatients and outpatient and continuous training support to other hospital specialists can relatively quickly improve the level of its penetrance in hospital activities.

Palliative Care Consultations in Patients with Severe Traumatic Brain Injury: Who Receives Palliative Care Consultations and What Does that Mean for Utilization?

BACKGROUND

Palliative care has the potential to improve goal-concordant care in severe traumatic brain injury (sTBI). Our primary objective was to illuminate the demographic profiles of patients with sTBI who receive palliative care encounters (PCEs), with an emphasis on the role of race. Secondary objectives were to analyze PCE usage over time and compare health care resource utilization between patients with or without PCEs.

METHODS

The National Inpatient Sample database was queried for patients age  ≥  18 who had a diagnosis of sTBI, defined by using International Classification of Diseases, 9th Revision codes. PCEs were defined by using International Classification of Diseases, 9th Revision code V66.7 and trended from 2001 to 2015. To assess factors associated with PCE in patients with sTBI, we performed unweighted generalized estimating equations regression. PCE association with decision making was modeled via its effect on rate of percutaneous endoscopic gastrostomy (PEG) tube placement. To quantify differences in PCE-related decisions by race, race was modeled as an effect modifier.

RESULTS

From 2001 to 2015, the proportion of palliative care usage in patients with sTBI increased from 1.5 to 36.3%, with 41.6% White, 22.3% Black, and 25% Hispanic patients with sTBI having a palliative care consultation in 2015, respectively. From 2008 to 2015, we identified 17,673 sTBI admissions. White and affluent patients were more likely to have a PCE than Black, Hispanic, and low socioeconomic status patients. Across all races, patients receiving a PCE resulted in a lower rate of PEG tube placement; however, White patients exhibited a larger reduction of PEG tube placement than Black patients. Patients using palliative care had lower total hospital costs (median $16,368 vs. $26,442, respectively).

CONCLUSIONS

Palliative care usage for sTBI has increased dramatically this century and it reduces resource utilization. This is true across races, however, its usage rate and associated effect on decision making are race-dependent, with White patients receiving more PCE and being more likely to decline the use of a PEG tube if they have had a PCE.

Propuesta de modelo integral de intervención terapéutica paliativa en salud

Los Cuidados Paliativos (CP) constituyen un valor y una responsabilidad de los sistemas sanitarios y sociales. En vista de la alta demanda de servicios para la atención integral y humanizada del paciente con enfermedad crónica, degenerativa e irreversible, es necesario crear un modelo de atención integral paliativa con el fin de ejecutarlo en una población requiriente del mismo. Los CP son un derecho de la persona, reconocido internacionalmente, que ha de prestarse en 3 niveles de atención: primario (básico), secundario (atención especializada - AE) y terciario (Unidades de Cuidados Paliativos - UCP). El primer nivel de atención es responsable de los cuidados paliativos domiciliarios y debe garantizarlos cuando la complejidad no es elevada. La presente revisión bibliográfica propone un modelo integral, integrado e integrador de cuidados paliativos CP que permita justificar las intervenciones terapéuticas con el objetivo de obtener bienestar o atenuación del sufrimiento en pacientes que acuden al primer nivel de atención. Palabras claves. Cuidados paliativos, evaluación integral, evaluación de necesidades multidimensionales, derivación, complejidad.

Implementation of a Palliative Care Program in a Rural Hospital: Report From the First Year

Palliative care has become an integral part of today's health care system. Inclusion of palliative care has been shown to positively affect patient satisfaction and can also impact medical costs. One of the ways palliative care can have such influence is through the development of prognostic awareness or a patient's understanding of their likely illness trajectory. Although palliative care programs have multiplied in general, there are still notable discrepancies in program availability, particularly in smaller rural hospitals. Despite numerous health care thought leaders' recommendations regarding the "ideal" palliative care team, this is not always feasible due to resource allocation. This article aims to describe 1 rural hospital's development of and initial outcomes from a hospital-based palliative care program.

Use of Theoretical Frameworks in the Development and Testing of Palliative Care Interventions

CONTEXT

Palliative care (PC) research has grown over the last 20 years. Yet, the causal components and pathways of PC interventions remain unclear.

OBJECTIVES

To document the prevalence and application of theoretical frameworks in developing and testing PC interventions.

METHODS

We conducted a secondary analysis of previously published systematic reviews of PC randomized clinical trials. Trials were evaluated for explicit mention of a theoretical framework, process or delivery model, or clinical practice guideline that supported the development of the intervention. We used a structured data extraction form to document study population, outcomes, and whether and how authors used a theoretical framework, process/delivery model, or clinical practice guideline. We applied an adapted coding scheme to evaluate use of theoretical frameworks.

RESULTS

We reviewed 85 PC trials conducted between 1984 and 2021. Thirty-eight percent (n = 32) of trials explicitly mentioned a theoretical framework, process or delivery model, or clinical practice guideline as a foundation for the intervention design. Only nine trials included a theoretical framework, while the remaining 23 cited a process/delivery model or clinical practice guideline.

CONCLUSION

Most PC trials do not cite a theoretical foundation for their intervention design. Future work should focus on developing and validating new theoretical frameworks and modifying existing theories and models to better explain the mechanisms of the variety of PC interventions.

Asian American Medicare Beneficiaries Disproportionately Receive Invasive Mechanical Ventilation When Hospitalized at the End-of-Life

BACKGROUND

Asian Americans are the fastest-growing ethnic minority in the USA, but we know little about the end-of-life care for this population.

OBJECTIVE

Compare invasive mechanical ventilation (IMV) use between older Asian and White decedents with hospitalization in the last 30 days of life.

DESIGN

Population-based retrospective cohort study.

PARTICIPANTS

A 20% random sample of 2000-2017 Medicare fee-for-service decedents who were 66 years or older and had a hospitalization in the last 30 days of life.

EXPOSURE

White and Asian ethnicity as collected by the Social Security Administration.

MAIN MEASURES

We identified IMV using validated procedural codes. We compared IMV use between Asian and White fee-for-service decedents using random-effects logistic regression analysis, adjusting for sociodemographics, admitting diagnosis, comorbidities, and secular trends.

KEY RESULTS

From 2000 to 2017, we identified 2.1 million White (54.5% female, 82.4±8.1 mean age) and 28,328 Asian (50.8% female, 82.6±8.1 mean age) Medicare fee-for-service decedents hospitalized in the last 30 days. Compared to White decedents, Asian fee-for-service decedents have an increased adjusted odds ratio (AOR) of 1.42 (95%CI: 1.38-1.47) for IMV. In sub-analyses, Asians' AOR for IMV differed by admitting diagnoses (cancer AOR=1.32, 95%CI: 1.15-1.51; congestive heart failure AOR=1.75, 95%CI: 1.47-2.08; dementia AOR=1.93, 95%CI: 1.70-2.20; and chronic obstructive pulmonary disease AOR=2.25, 95%CI: 1.76-2.89).

CONCLUSIONS

Compared to White decedents, Asian Medicare decedents are more likely to receive IMV when hospitalized at the end-of-life, especially among patients with non-cancer admitting diagnoses. Future research to better understand the reasons for these differences and perceived quality of end-of-life care among Asian Americans is urgently needed.