End-of-Life Care in Patients Exposed to Home-Based Palliative Care vs Hospice Only

Clinician Perception of Likelihood of Death in the Next Year Is Associated With 1-Year Mortality and Hospice Use Among Older Adults Receiving Home Health Care

Background: Given the complex care needs of older adults receiving home health care (HHC), it is important for HHC clinicians to identify those with limited prognosis who may benefit from a transition to hospice care. Objectives: To assess the association between HHC clinician-identified likelihood of death and (1) 1-year mortality, and (2) hospice use. Methods: Prospective cohort study from the National Health and Aging Trends Study (NHATS) waves 2011-2018, linked to the Outcomes and Assessment Information Set (OASIS) HHC assessment and Medicare data among 915 community-dwelling NHATS respondents. HHC clinician-identified likelihood of death/decline was determined using OASIS item M1034. Multivariable logistic regression was used to assess the association between clinician-identified likelihood of death/decline and 1-year mortality and hospice use. Results: HHC clinicians identified 42% of the sample as at increased risk of decline or death. One year mortality was 22.3% (n = 548), and 15.88% (n = 303) used hospice within 12 months of HHC. HHC clinician-perceived likelihood of death/decline was associated with greater odds of 1-year mortality (odds ratio [OR], 6.57; confidence interval (95% CI), 2.56-16.90) and was associated with greater likelihood of hospice use (OR, 1.61; 95% CI, 1.00-2.62). Conclusion: HHC clinician perception of patients' risk of death or decline is associated with 1-year mortality. A better understanding of HHC patients at high risk for mortality can facilitate improved care planning and identification of homebound older adults who may benefit from hospice.

Association of Hospice Agency Location and Neighborhood Socioeconomic Disadvantage in the U.S

BACKGROUND

Despite the growing increase in the utilization of hospice in the U.S, disparities exist in the utilization of hospice. Accumulating evidence has shown that neighborhood characteristics have an impact on availability of hospice agencies.

OBJECTIVE

To assess the association between neighborhood social vulnerability and hospice agency availability.

METHODS

Using the Medicare Post-Acute Care and Hospice Provider Utilization and Payment Public Use Files (PAC PUF) for 2019. Hospice agency addresses were geocoded to the census tract level. Multivariable Poisson regression models were used to assess the association between socioeconomic status SVI theme and hospice agency availability adjusting for number of home health agencies, primary care health profession shortage, per cent Black, and Percent Hispanic at the census tract level and rurality.

RESULTS

The socioeconomic status SVI subtheme was associated with decreased likelihood of hospice agency availability (adjusted IRR (aIRR), .56; 95% CI, .50- .63; P < .001). Predominantly Black, and predominantly Hispanic neighborhoods had lower rates of hospice agency availability (aIRR, .48; 95% CI, .39-.59; P < .001 and aIRR, .29; 95% CI, .24-.36; P < .001), respectively.

CONCLUSION

Neighborhood socioeconomic disadvantage was associated with lower availability of hospice agencies. Policies aimed at increasing access to hospice should be cognizant of neighborhood socioeconomic disadvantage.

Cost Reduction and Utilization Patterns in a Medicare Accountable Care Organization Using Home-Based Palliative Care Services

Accountable care organizations (ACOs) are often tasked with helping providers to deliver care efficiently and with higher quality outcomes. For an ACO to succeed in delivering efficient care, it is important to direct resources toward patients who exhibit the greatest levels of opportunity while focusing attention toward mitigating their needs. Home-based palliative care (HBPC) services are known to address patient needs for those with serious illness while decreasing the total cost of care (TCC). In this retrospective review, ACO researchers reviewed cost, quality, and utilization patterns for 3418 beneficiaries within a Medicare Shared Saving Program approaching the end of life comparing decedents who received HBPC versus those who did not receive the service. Those individuals who received HBPC services were significantly less likely to be hospitalized (51% reduction in the HBPC group), more likely to use hospice (70% vs. 43%; P = 0.001), and their TCC was less than that of those who did not receive the service ($27,203 vs. $36,089: P = 0.0163). Although more research needs to be done to understand the specific components of care delivery that are helpful in decreasing unnecessary utilization, in this retrospective review in an accountable care population, HBPC is associated with a significant decrease in cost and utilization in a population approaching end of life.

Intersection of Palliative Care and Hospice Use Among Patients With Advanced Lung Cancer

Background: Hospice and palliative care (PC) are important components of lung cancer care and independently provide benefits to patients and their families. Objective: To better understand the relationship between hospice and PC and factors that influence this relationship. Methods: A retrospective cohort study of patients diagnosed with advanced lung cancer (stage IIIB/IV) within the U.S. Veterans Health Administration (VA) from 2007 to 2013 with follow-up through 2017 (n = 22,907). Mixed logistic regression models with a random effect for site, adjustment for patient variables, and propensity score weighting were used to examine whether the association between PC and hospice use varied by U.S. region and PC team characteristics. Results: Overall, 57% of patients with lung cancer received PC, 69% received hospice, and 16% received neither. Of those who received hospice, 60% were already enrolled in PC. Patients who received PC had higher odds of hospice enrollment than patients who did not receive PC (adjusted odds ratio = 3.25, 95% confidence interval: 2.43-4.36). There were regional differences among patients who received PC; the predicted probability of hospice enrollment was 85% and 73% in the Southeast and Northeast, respectively. PC team and facility characteristics influenced hospice use in addition to PC; teams with the shortest duration of existence, with formal team training, and at lower hospital complexity were more likely to use hospice (all p < 0.05). Conclusions: Among patients with advanced lung cancer, PC was associated with hospice enrollment. However, this relationship varied by geographic region, and PC team and facility characteristics. Our findings suggest that regional PC resource availability may contribute to substitution effects between PC and hospice for end-of-life care.

Behavioural economic interventions to embed palliative care in community oncology (BE-EPIC): study protocol for the BE-EPIC randomised controlled trial

INTRODUCTION

Palliative care (PC) is a medical specialty focusing on providing relief from the symptoms and stress of serious illnesses such as cancer. Early outpatient specialty PC concurrent with cancer-directed treatment improves quality of life and symptom burden, decreases aggressive end-of-life care and is an evidence-based practice endorsed by national guidelines. However, nearly half of patients with advanced cancer do not receive specialty PC prior to dying. The objective of this study is to test the impact of an oncologist-directed default PC referral orders on rates of PC utilisation and patient quality of life.

METHODS AND ANALYSIS

This single-centre two-arm pragmatic randomised trial randomises four clinician-led pods, caring for approximately 250 patients who meet guideline-based criteria for PC referral, in a 1:1 fashion into a control or intervention arm. Intervention oncologists receive a nudge consisting of an electronic health record message indicating a patient has a default pended order for PC. Intervention oncologists are given an opportunity to opt out of referral to PC. Oncologists in pods randomised to the control arm will receive no intervention beyond usual practice. The primary outcome is completed PC visits within 12 weeks. Secondary outcomes are change in quality of life and absolute quality of life scores between the two arms.

ETHICS AND DISSEMINATION

This study has been approved by the Institutional Review Board at the University of Pennsylvania. Study results will be disseminated in peer-reviewed journals and scientific conferences using methods that describe the results in ways that key stakeholders can best understand and implement.

TRIAL REGISTRATION NUMBER

NCT05365997.

Community-based neuropalliative care

Community-based palliative care is defined as palliative care delivered outside of the hospital and outpatient clinics. These settings include the home, nursing homes, day programs, volunteer organizations, and support groups. There is strong evidence outside of the neuropalliative context that community-based palliative care can reduce hospital costs and admissions at the end of life. Research that focuses on specialized community-based palliative care for neurologic disease have similar findings, although with significant variability across conditions and geographic locations. Several of these studies have investigated home-based care for neurologic conditions including dementia, Parkinson's disease, multiple sclerosis, brain tumors, and motor neuron disease. Other work has focused on incorporating palliative care models into the treatment of patients with neurologic diseases within nursing home settings. Similar to nonneurologic community-based palliative care, little has been published on patient and caregiver quality-of-life outcomes in such models of care, although the emerging data are generally positive. Future studies should explore how best to provide comprehensive, cost-effective, scalable, and replicable models of community-based neuropalliative care, patient and caregiver outcomes in such models, and how care can be adapted between and within specific patient populations and healthcare systems.

End-of-life care trajectories among older adults with lung cancer

INTRODUCTION

Medicare decedents with cancer often receive intensive care during the last month of life; however, little information exists on longer end-of-life care trajectories.

MATERIALS AND METHODS

Using SEER-Medicare data, we selected older adults diagnosed with lung cancer between 2008 and 2013 who survived at least six months and died between 2008 and 2014. Each month we assessed claims to assign care categories ordered by intensity as follows: full-month inpatient/skilled nursing facility > cancer-directed therapy (CDT) only > concurrent CDT and symptom management and supportive care services (SMSCS) > SMSCS only > full-month hospice. We assigned each decedent to one of six trajectories: stable hospice, stable SMSCS, stable CDT with or without concurrent SMSCS, decreasing intensity, increasing intensity, and mixed. Multinomial logistic regression estimated associations between socio-demographics, calendar year, and area hospice use rates with end-of-life trajectory.

RESULTS

The sample (N = 24,342) was predominantly aged ≥75 years (59.4%) and non-Hispanic White (80.5%); 19.1% lived in healthcare referral regions where ≤50% of cancer decedents received hospice care. Overall, 6.5% were continuously hospice enrolled, 25.6% received SMSCS only, and 29.4% experienced decreasing intensity; 3.9% received CDT or concurrent care, while 8.7% experienced an increase in intensity. Higher healthcare referral region hospice rates were associated with decreasing end-of-life intensity; Black, non-Hispanic decedents had a higher risk of increasing intensity and mixed patterns.

DISCUSSION

Among older decedents with lung cancer, 62% had six-month end-of-life trajectories indicating low or decreasing intensity, but few received persistent CDT. Demographic characteristics, including race/ethnicity, and contextual measures, including area hospice use patterns, were associated with end-of-life trajectory.

A Retrospective Evaluation of the Impacts of a Multidisciplinary Care Model for Managing Patients with Advanced Illness on Acute Care Utilization and Quality of Care at End of Life

Background: A home-based goal-concordant care model targeting patients with advanced illnesses may reduce acute care utilization and improve quality outcomes at end of life. Aim: Study aim was to determine impact of the Advanced Illness Management (AIM) program on end-of-life utilization and quality of care. Design: A retrospective observational study design using propensity score fine stratum weighting methodologies was applied to decedent patients identified for AIM enrollment/eligibility in 2018 to 2019. Setting/Participants: A total of 3859 decedents, 216 of whom were AIM enrollees, were identified from a metropolitan health system's electronic medical records (EMR) and met study eligibility criteria. Results: Compared with usual care, AIM enrollees spent more days away from acute care in the last 30, 90, and 180 days of life. Furthermore, AIM enrollees were less likely to expire in an acute care hospital. Conclusions: Enrollment in programs such as AIM should be considered for patients with advanced illnesses approaching end of life.

Identifying Paths Forward: Expanding Palliative Care to Low-Income Patients in California

Multiple studies demonstrate most consumers do not know about palliative care. And, since January 2018, California's Medi-Cal Managed Care patients have been eligible for palliative care services under Senate Bill 1004 (SB 1004). Yet, the uptake of palliative care services was underwhelming. The purpose of this study was to explore patient-centered barriers to palliative care. We recruited 27 adult Medicaid managed care patients from community-based sites in Los Angeles and conducted semi-structured qualitative interviews. Each participant was asked questions to elicit their knowledge about, and perspectives on, palliative care as well as their preferred communication approaches for receiving a referral to palliative care. The interviews were audio-recorded and transcribed verbatim. We used a grounded theory approach to guide our analysis of primary themes. Our findings indicated that the barriers to palliative care referrals among this population included lack of knowledge about palliative care and available services; the reliance on, and trust in, primary care physicians for information; language and cultural barriers; housing instability; and patient believing they are neither old enough nor sick enough to need palliative care. These findings emphasize the critical role primary care physicians play in advocating for low-income patients and the necessity for culturally sensitive education about palliative care. Promoting knowledge and understanding of palliative care among both primary care physicians and consumers is critical to ensuring access to care.

Characteristics and place of death in home care recipients in Germany - an analysis of nationwide health insurance claims data

Background

Most care-dependent people live at home, where they also would prefer to die. Unfortunately, this wish is often not fulfilled. This study aims to investigate place of death of home care recipients, taking characteristics and changes in care settings into account.

Methods

We retrospectively analysed a cohort of all home-care receiving people of a German statutory health insurance who were at least 65 years and who deceased between January 2016 and June 2019. Next to the care need, duration of care, age, sex, and disease, care setting at death and place of death were considered. We examined the characteristics by place of care, the proportion of dying in hospital by care setting and characterised the deceased cohort stratified by their actual place of death.

Results

Of 46,207 care-dependent people initially receiving home care, 57.5% died within 3.5 years (n = 26,590; mean age: 86.8; 66.6% female). More than half of those moved to another care setting before death with long-term nursing home care (32.3%) and short-term nursing home care (11.7%) being the most frequent transitions, while 48.1% were still cared for at home. Overall, 36.9% died in hospital and in-hospital deaths were found most often in those still receiving home care (44.7%) as well as care in semi-residential arrangements (43.9%) at the time of death. People who died in hospital were younger (mean age: 85.5 years) and with lower care dependency (low care need: 28.2%) as in all other analysed care settings.

Conclusion

In Germany, changes in care settings before death occur often. The proportion of in-hospital death is particularly high in the home setting and in semi-residential arrangements. These settings should be considered in interventions aiming to decrease the number of unwished care transitions and hospitalisations at the end of life.

Longitudinal patterns and predictors of healthcare utilization among cancer patients on home-based palliative care in Singapore: a group-based multi-trajectory analysis

BACKGROUND

Home-based palliative care (HPC) is considered to moderate the problem of rising healthcare utilization of cancer patients at end-of-life. Reports however suggest a proportion of HPC patients continue to experience high care intensity. Little is known about differential trajectories of healthcare utilization in patients on HPC. Thus, we aimed to uncover the heterogeneity of healthcare utilization trajectories in HPC patients and identify predictors of each utilization pattern.

METHODS

This is a cohort study of adult cancer patients referred by Singapore Health Services to HCA Hospice Service who died between 1st January 2018 and 31st March 2020. We used patient-level data to capture predisposing, enabling, and need factors for healthcare utilization. Group-based multi-trajectory modelling was applied to identify trajectories for healthcare utilization based on the composite outcome of emergency department (ED) visits, hospitalization, and outpatient visits.

RESULTS

A total of 1572 cancer patients received HPC (median age, 71 years; interquartile range, 62-80 years; 51.1% female). We found three distinct trajectory groups: group 1 (31.9% of cohort) with persistently low frequencies of healthcare utilization, group 2 (44.1%) with persistently high frequencies, and group 3 (24.0%) that begin with moderate frequencies, which dropped over the next 9 months before increasing in the last 3 months. Predisposing (age, advance care plan completion, and care preferences), enabling (no medical subsidy, primary decision maker), and need factors (cancer type, comorbidity burden and performance status) were significantly associated with group membership. High symptom needs increased ED visits and hospitalizations in all three groups (ED visits, group 1-3: incidence rate ratio [IRR] 1.74-6.85; hospitalizations, group 1-3: IRR 1.69-6.60). High home visit intensity reduced outpatient visits in all three groups (group 1-3 IRR 0.54-0.84), while it contributed to reduction of ED visits (IRR 0.40; 95% CI 0.25-0.62) and hospitalizations (IRR 0.37; 95% CI 0.24-0.58) in group 2.

CONCLUSIONS

This study on HPC patients highlights three healthcare utilization trajectories with implications for targeted interventions. Future efforts could include improving advance care plan completion, supporting care preferences in the community, proactive interventions among symptomatic high-risk patients, and stratification of home visit intensity.

Association Between Financial Distress with Patient and Caregiver Outcomes in Home-Based Palliative Care: A Secondary Analysis of a Clinical Trial

BACKGROUND

Serious illness often causes financial hardship for patients and families. Home-based palliative care (HBPC) may partly address this.

OBJECTIVE

Describe the prevalence and characteristics of patients and family caregivers with high financial distress at HBPC admission and examine the relationship between financial distress and patient and caregiver outcomes.

DESIGN, SETTINGS, AND PARTICIPANTS

Data for this cohort study were drawn from a pragmatic comparative-effectiveness trial testing two models of HBPC in Kaiser Permanente. We included 779 patients and 438 caregivers from January 2019 to January 2020.

MEASUREMENTS

Financial distress at admission to HBPC was measured using a global question (0-10-point scale: none=0; mild=1-5; moderate/severe=6+). Patient- (Edmonton Symptom Assessment Scale, distress thermometer, PROMIS-10) and caregiver (Preparedness for Caregiving, Zarit-12 Burden, PROMIS-10)-reported outcomes were measured at baseline and 1 month. Hospital utilization was captured using electronic medical records and claims. Mixed-effects adjusted models assessed survey measures and a proportional hazard competing risk model assessed hospital utilization.

RESULTS

Half of the patients reported some level of financial distress with younger patients more likely to have moderate/severe financial distress. Patients with moderate/severe financial distress at HBPC admission reported worse symptoms, general distress, and quality of life (QoL), and caregivers reported worse preparedness, burden, and QoL (all, p<.001). Compared to patients with no financial distress, moderate/severe financial distress patients had more social work contacts, improved symptom burden at 1 month (ESAS total score: -4.39; 95% CI: -7.61, -1.17; p<.01), and no increase in hospital-based utilization (adjusted hazard ratio: 1.11; 95% CI: 0.87-1.40; p=.41); their caregivers had improved PROMIS-10 mental scores (+2.68; 95% CI: 0.20, 5.16; p=.03). No other group differences were evident in the caregiver preparedness, burden, and physical QoL change scores.

CONCLUSION

These findings highlight the importance and need for routine assessments of financial distress and for provision of social supports required to help families receiving palliative care services.

Factors Related to Family Caregivers’ Readiness for the Hospital Discharge of Advanced Cancer Patients

Background: Many family caregivers of advanced cancer patients worry about being unable to provide in-home care and delay the discharge. Little is known about the influencing factors of discharge readiness. Methods: This study aimed to investigate the influencing factors of family caregivers’ readiness, used a cross-sectional survey, and enrolled 123 sets of advanced cancer patients and family caregivers using convenience sampling from four oncology wards in a medical centre in northern Taiwan. A self-developed five-point Likert questionnaire, the “Discharge Care Assessment Scale”, surveyed the family caregivers’ difficulties with providing in-home care. Results: The study showed that the discharge readiness of family caregivers affects whether patients can be discharged home. Moreover, the influencing factors of family caregivers’ discharge readiness were the patient’s physical activity performance status and expressed discharge willingness; the presence of someone to assist family caregivers with in-home care; and the difficulties of in-home care. The best prediction model accuracy was78.0%, and the Nagelkerke R² was 0.52. Conclusion: Discharge planning should start at the point of admission data collection, with the influencing factors of family caregivers’ discharge readiness. It is essential to help patients increase the likelihood of being discharged home.

Dementia diagnosis and utilization patterns in a racially diverse population within an integrated health care delivery system

Introduction

In an effort to identify improvement opportunities for earlier dementia detection and care within a large, integrated health care system serving diverse Medicare Advantage (MA) beneficiaries, we examined where, when, and by whom Alzheimer's disease and related dementias (ADRD) diagnoses are recorded as well as downstream health care utilization and life care planning.

Methods

Patients 65 years and older, continuously enrolled in the Kaiser Foundation health plan for at least 2 years, and with a first ADRD diagnosis between January 1, 2015, and December 31, 2018, comprised the incident cohort. Electronic health record data were used to identify site and source of the initial diagnosis (clinic vs hospital‐based, provider type), health care utilization in the year before and after diagnosis, and end‐of‐life care.

Results

ADRD prevalence was 5.5%. A total of 25,278 individuals had an incident ADRD code (rate: 1.2%) over the study period—nearly half during a hospital‐based encounter. Hospital‐diagnosed patients had higher comorbidities, acute care use before and after diagnosis, and 1‐year mortality than clinic‐diagnosed individuals (36% vs 11%). Many decedents (58%‐72%) received palliative care or hospice. Of the 55% diagnosed as outpatients, nearly two‐thirds were diagnosed by dementia specialists; when used, standardized cognitive assessments indicated moderate stage ADRD. Despite increases in advance care planning and visits to dementia specialists in the year after diagnosis, acute care use also increased for both clinic‐ and hospital‐diagnosed cohorts.

Discussion

Similar to other MA plans, ADRD is under‐diagnosed in this health system, compared to traditional Medicare, and diagnosed well beyond the early stages, when opportunities to improve overall outcomes are presumed to be better. Dementia specialists function primarily as consultants whose care does not appear to mitigate acute care use. Strategic targets for ADRD care improvement could focus on generating pragmatic evidence on the value of proactive detection and tracking, care planning, and the role of specialists in chronic care management.

A mixed-methods evaluation of home-based primary care in dementia within an integrated system

BACKGROUND

No prior studies have examined the effects of home-based primary care (HBPC) in persons living with dementia (PLWD), within an ecosystem of serious illness care in an integrated healthcare system. Our objectives were to compare the characteristics of PLWD receiving HBPC and their hospital utilization and end-of-life care, with those of a matched comparison group, and to understand the experiences of family caregivers of PLWD receiving HBPC.

METHODS

This mixed-methods study used a retrospective observational cohort design with PLWD receiving HBPC (n = 287) from 2015 to 2020 and a strata-matched comparison group (n = 861), and qualitative phone interviews with 16 HBPC family caregivers in 2020. Inverse probability of treatment weighting propensity score-adjusted models were used to compare time-to-first hospital-based utilization and, for decedents, home palliative and hospice care and place of death. Care experience was captured through caregiver interviews.

RESULTS

Patients receiving HBPC had a similar risk of hospital utilization [adjusted hazard ratio, 1.06 (95% CI: 0.89-1.26), p = 0.51] as a matched non-HBPC comparison group after a median follow-up of 199 days. However, HBPC decedents (n = 159) were more likely to receive home palliative care or hospice [rate ratio, RR: 1.23 (95% CI: 1.07-1.42), p < 0.01] and to die at home [RR: 1.66 (95% CI: 1.35-2.05), p < 0.001] than were non-HBPC decedents (n = 423). Caregivers reported that HBPC provided coordinated, continuous, and convenient care that was aligned with families' priorities and goals; however, some expressed unmet needs, especially for help paying for personal care and medical supplies/equipment, and a desire for clearer communication about program operations and more quality oversight for contract services.

CONCLUSIONS

Although HBPC for PLWD was associated with a similar risk of hospital utilization compared to a matched non-HBPC comparison group, HBPC resulted in more patient-centered end-of-life care for decedents. Prospective studies of HBPC that further elicit and address unmet needs are warranted.

Home Based Palliative Care: Known Benefits and Future Directions

Purpose of Review

To summarize key recent evidence regarding the impact of Home-Based Palliative Care (HBPalC) and to highlight opportunities for future study.

Recent Findings

HBPalC is cost effective and benefits patients and caregivers across the health care continuum.

Summary

High-quality data support the cost effectiveness of HBPalC. A growing literature base supports the benefits of HBPalC for patients, families, and informal caregivers by alleviating symptoms, reducing unwanted hospitalizations, and offering support at the end of life. Numerous innovative HBPalC models exist, but there is a lack of high-quality evidence comparing specific models across subpopulations. Our wide literature search captured no research regarding HBPalC for underserved populations. Further research will also be necessary to guide quality standards for HBPalC.

Impact of the caregiver burden on the effectiveness of a home-based palliative care program: A mediation analysis

OBJECTIVE

The growing aging population and the high prevalence of several concomitant chronic diseases have contributed to the elevated rates of caregiver burden and suffering in patients. In turn, intending to relieve unnecessary pain in patients, there has been a rapid growth of outpatient palliative care programs. However, little has been studied about caregiver burden as a relevant factor potentially affecting the effectiveness of these programs. This study aimed to determine the extent of caregiver burden as a possible mediator on the effectiveness of a home-based palliative care program.

METHOD

Sixty-six palliative patients (56% women; mean age + SD = 71, 6 ± 17.7) and their caregivers were assessed with measures for physical, emotional, and psychological symptoms before and 1 month after the start of a home-based palliative care program.

RESULTS

The association between caregiver burden and palliative outcomes was corroborated with a categorical regression model (p < 0.01). Caregiver burden was found to be a significant mediator in the relationship between outcome measures for palliative care at baseline and after 1 month of enrollment in the program.

SIGNIFICANCE OF RESULTS

To our knowledge, this is the first study to assess the role of caregiver burden in the effectiveness of a home-based palliative care program. Although further work is required, the results indicate that a patient-focused intervention does not have the same beneficial effect if the caregiver burden is not addressed. Future home-based palliative care programs should focus on caregivers as well as patients, with particular attention to psychosocial intervention on caregivers.

Nursing diagnoses clusters: survival and comfort in oncology end-of-life care

BACKGROUND

Holistic care and nursing diagnoses are essential in end-of-life, since interventions based on these ensure greater patient comfort and quality of life.

AIMS

To identify clusters of nursing diagnoses and repercussions for patient comfort and survival.

METHODS

A prospective cohort of 66 end-of-life patients with cancer was examined. Diagnostic groupings were created based on the Kolcaba's theory of comfort. Pearson's chi-square test and Kaplan-Meier estimator were used to assess the relationship between clusters, comfort, and survival.

FINDINGS

Three diagnostic groups and 23 nurse diagnoses were used. The first and most prevalent diagnosis cluster was related to intestinal tract disorders and sleep. The second was related to neuropsychological characteristics and fatigue associated with lower survival, while the third cluster was related to functionality and perception, which was shown to be associated with less comfort.

CONCLUSION

The three clusters were significantly associated with comfort and survival.

Embedded Research in the Learning Healthcare System: Ongoing Challenges and Recommendations for Researchers, Clinicians, and Health System Leaders

Embedded research is an innovative means to improve performance in the learning healthcare system (LHS). However, few descriptions of successful embedded research programs have been published. In this perspective, we describe the Care Improvement Research Team, a mature partnership between researchers and clinicians at Kaiser Permanente Southern California. The program supports a core team of researchers and staff with dedicated resources to partner with health system leaders and practicing clinicians, using diverse methods to identify and rectify gaps in clinical practice. For example, recent projects helped clinicians to provide better care by reducing prescribing of unnecessary antibiotics for acute sinusitis and by preventing readmissions among the elderly. Embedded in operational workgroups, the team helps formulate research questions and enhances the rigor and relevance of data collection and analysis. A recent business-case analysis cited savings to the organization of over $10 million. We conclude that embedded research programs can play a key role in fulfilling the promise of the LHS. Program success depends on dedicated funding, robust data systems, and strong relationships between researchers and clinical stakeholders. Embedded researchers must be responsive to health system priorities and timelines, while clinicians should embrace researchers as partners in problem solving.

Findings and lessons learnt from early termination of a pragmatic comparative effectiveness trial of video consultations in home-based palliative care

BACKGROUND

Health systems need evidence about how best to deliver home-based palliative care (HBPC) to meet the growing needs of seriously ill patients. We hypothesised that a tech-supported model that aimed to promote timely inter-professional team coordination using video consultation with a remote physician while a nurse is in the patient's home would be non-inferior compared with a standard model that includes routine home visits by nurses and physicians.

METHODS

We conducted a pragmatic, cluster randomised non-inferiority trial across 14 sites (HomePal Study). Registered nurses (n=111) were randomised to the two models so that approximately half of the patients with any serious illness admitted to HBPC and their caregivers were enrolled in each study arm. Process measures (video and home visits and satisfaction) were tracked. The primary outcomes for patients and caregivers were symptom burden and caregiving preparedness at 1-2 months.

RESULTS

The study was stopped early after 12 months of enrolment (patients=3533; caregivers=463) due to a combination of low video visit uptake (31%), limited substitution of video for home visits, and the health system's decision to expand telehealth use in response to changes in telehealth payment policies, the latter of which was incompatible with the randomised design. Implementation barriers included persistent workforce shortages and inadequate systems that contributed to scheduling and coordination challenges and unreliable technology and connectivity.

CONCLUSIONS

We encountered multiple challenges to feasibility, relevance and value of conducting large, multiyear pragmatic randomised trials with seriously ill patients in the real-world settings where care delivery, regulatory and payment policies are constantly shifting.

Protocol for a Noninferiority Comparative Effectiveness Trial of Home-Based Palliative Care (HomePal)

Introduction: As health care systems strive to meet the growing needs of seriously ill patients with high symptom burden and functional limitations, they need evidence about how best to deliver home-based palliative care (HBPC). We compare a standard HBPC model that includes routine home visits by nurses and prescribing clinicians with a tech-supported model that aims to promote timely interprofessional team coordination using video consultation with the prescribing clinician while the nurse is in the patient's home. We hypothesize that tech-supported HBPC will be no worse compared with standard HBPC. Methods: This study is a pragmatic, cluster randomized noninferiority trial conducted across 14 Kaiser Permanente sites in Southern California and the Pacific Northwest. Registered nurses (n = 102) were randomized to the two models so that approximately half of the participating patient-caregiver dyads will be in each study arm. Adult English or Spanish-speaking patients (estimate 10,000) with any serious illness and a survival prognosis of 1-2 years and their caregivers (estimate 4800) are being recruited to the HomePal study over ∼2.5 years. The primary patient outcomes are symptom improvement at one month and days spent at home. The primary caregiver outcome is perception of preparedness for caregiving. Study Implementation-Challenges and Contributions: During implementation we had to balance the rigors of conducting a clinical trial with pragmatic realities to ensure responsiveness to culture, structures, workforce, workflows of existing programs across multiple sites, and emerging policy and regulatory changes. We built close partnerships with stakeholders across multiple representative groups to define the comparators, prioritize and refine measures and study conduct, and optimize rigor in our analytical approaches. We have also incorporated extensive fidelity monitoring, mixed-method implementation evaluations, and early planning for dissemination to anticipate and address challenges longitudinally. Trial Registration: ClinicalTrials.gov: NCT#03694431.

Time Spent Away from Home in the Year Following High-Risk Cancer Surgery in Older Adults

OBJECTIVES

To understand where older adults spend time (at home, in the hospital, or in a nursing home) in the year following high-risk cancer surgery.

DESIGN

Retrospective cohort study.

SETTING

Medicare beneficiaries using data from Medicare Inpatient claims to ascertain hospital days and the Minimum Data Set to ascertain nursing home days.

PARTICIPANTS

Beneficiaries who underwent high-risk cancer surgery (cystectomy, pancreaticoduodenectomy, gastrectomy, or esophagectomy) were identified to determine cumulative time spent away from home in the year following surgery.

MEASUREMENTS

Adjusted percentages of time spent away from home (ie, days in a hospital or nursing home) were modeled for the year following surgery.

RESULTS

A total of 37 748 beneficiaries underwent high-risk cancer surgery during the study period, and 28.3% died within 1 year. Overall, beneficiaries spent 13.9 ± 26.2 days in the hospital (over 1.5 ± 2.0 hospital readmissions) and 37.2 ± 50.6 days in the nursing home (over 1.5 ± 1.0 admissions) in the year following surgery. Among beneficiaries who were alive and dead at 1 year, 18.5% and 30.1% of time was spent away from home, respectively. Beneficiaries who were initially discharged to a facility following surgery and died within 1 year spent 44.4% of their final year away from home.

CONCLUSION

Time spent away from home in the hospital and/or nursing home in the year following high-risk cancer surgery is substantial among Medicare beneficiaries. This information is crucial in counseling patients on postoperative expectations and may additionally influence preoperative decision making. J Am Geriatr Soc 68:505-510, 2020.