Looking Back From Death: The Value of Retrospective Studies of End-of-Life Care

Trends in use of intensive care during hospitalizations at the end-of-life among older adults with advanced cancer

BACKGROUND

High-intensity end-of-life (EOL) care, marked by admission to intensive care units (ICUs) or in-hospital death, can be costly and burdensome. Recent trends in use of ICUs, life-sustaining treatments (LSTs), and noninvasive ventilation (NIV) during EOL hospitalizations among older adults with advanced cancer and patterns of in-hospital death are unknown.

METHODS

We used SEER-Medicare data (2003-2017) to identify beneficiaries with advanced solid cancer (summary stage 7) who died within 3 years of diagnosis. We identified EOL hospitalizations (within 30 days of death), classifying them by increasing intensity of care into: (1) without ICU; (2) with ICU but without LST (invasive mechanical ventilation, tracheostomy, gastrostomy, acute dialysis) or NIV; (3) with ICU and NIV but without LST; and (4) with ICU and LST use. We constructed a multinomial regression model to evaluate trends in risk-adjusted hospitalization, overall and across hospitalization categories, adjusting for sociodemographics, cancer characteristics, comorbidities, and frailty. We evaluated trends in in-hospital death across categories.

RESULTS

Of 226,263 Medicare beneficiaries with advanced cancer, 138,305 (61.1%) were hospitalized at EOL [Age, Mean (SD):77.9(7.1) years; 45.5% female]. Overall, EOL hospitalizations remained high throughout, from 78.1% (95% CI: 77.4, 78.7) in 2004 to 75.5% (95% CI: 74.5, 76.2) in 2017. Hospitalizations without ICU use decreased from 49.3% (95% CI: 48.5, 50.2) to 35.0% (95% CI: 34.2, 35.9) while hospitalizations with more intensive care increased, from 23.7% (95% CI: 23.0, 24.4) to 28.7% (95% CI: 27.9, 29.5) for ICU without LST or NIV, 0.8% (95% CI: 0.6, 0.9) to 3.8% (95% CI: 3.4, 4.1) for ICU with NIV but without LST, and 4.3% (95% CI: 4.0, 4.7) to 8.0% (95% CI: 7.5, 8.5) for ICU with LST use. Among those who experienced in-hospital death, the proportion receiving ICU care increased from 46.5% to 65.0%.

CONCLUSIONS

Among older adults with advanced cancer, EOL hospitalization rates remained stable from 2004-2017. However, intensity of care during EOL hospitalizations increased as evidenced by increasing use of ICUs, LSTs, and NIV.

Systemic Anticancer Therapy and Overall Survival in Patients With Very Advanced Solid Tumors

Importance

Two prominent organizations, the American Society of Clinical Oncology and the National Quality Forum (NQF), have developed a cancer quality metric aimed at reducing systemic anticancer therapy administration at the end of life. This metric, NQF 0210 (patients receiving chemotherapy in the last 14 days of life), has been critiqued for focusing only on care for decedents and not including the broader population of patients who may benefit from treatment.

Objective

To evaluate whether the overall population of patients with metastatic cancer receiving care at practices with higher rates of oncologic therapy for very advanced disease experience longer survival.

Design, Setting, and Participants

This nationwide population-based cohort study used Flatiron Health, a deidentified electronic health record database of patients diagnosed with metastatic or advanced disease, to identify adult patients (aged ≥18 years) with 1 of 6 common cancers (breast cancer, colorectal cancer, non-small cell lung cancer [NSCLC], pancreatic cancer, renal cell carcinoma, and urothelial cancer) treated at health care practices from 2015 to 2019. Practices were stratified into quintiles based on retrospectively measured rates of NQF 0210, and overall survival was compared by disease type among all patients treated in each practice quintile from time of metastatic diagnosis using multivariable Cox proportional hazard models with a Bonferroni correction for multiple comparisons. Data were analyzed from July 2021 to July 2023.

Exposure

Practice-level NQF 0210 quintiles.

Main Outcome and Measure

Overall survival.

Results

Of 78 446 patients (mean [SD] age, 67.3 [11.1] years; 52.2% female) across 144 practices, the most common cancer types were NSCLC (34 201 patients [43.6%]) and colorectal cancer (15 804 patients [20.1%]). Practice-level NQF 0210 rates varied from 10.9% (quintile 1) to 32.3% (quintile 5) for NSCLC and 6.8% (quintile 1) to 28.4% (quintile 5) for colorectal cancer. No statistically significant differences in survival were observed between patients treated at the highest and the lowest NQF 0210 quintiles. Compared with patients seen at practices in the lowest NQF 0210 quintiles, the hazard ratio for death among patients seen at the highest quintiles varied from 0.74 (95% CI, 0.55-0.99) for those with renal cell carcinoma to 1.41 (95% CI, 0.98-2.02) for those with urothelial cancer. These differences were not statistically significant after applying the Bonferroni-adjusted critical P = .008.

Conclusions and Relevance

In this cohort study, patients with metastatic or advanced cancer treated at practices with higher NQF 0210 rates did not have improved survival. Future efforts should focus on helping oncologists identify when additional therapy is futile, developing goals of care communication skills, and aligning payment incentives with improved end-of-life care.

Creating more comparable cohorts in observational palliative care studies: A proposed framework to improve applicability and replicability of research

BACKGROUND

Palliative care is characterised by heterogeneous patient and caregiver populations who are provided care in different health systems and a research base including a large proportion of observational, mostly retrospective studies. The inherent diversity of palliative care populations and the often inadequate study descriptions challenge the application of new knowledge into practice and reproducibility for confirmatory studies. Being able to define systematically study populations would significantly increase their generalisability and effective translation into practice.

PROPOSAL

Based on an informal consensus process by active palliative care researchers challenged by this problem and a review of the current evidence, we propose an approach to creating more comparable cohorts in observational (non-randomised) palliative care studies that relies on defining the study population in relation to a fixed, well-defined event from which analyses are built ('anchoring'). In addition to providing a detailed and complete description of the study population, anchoring is the critical step in creating more comparable cohorts in observational palliative care studies. Anchoring can be done with respect to a single or multiple data points, and can support both prospective and retrospective data collection and analysis.

DISCUSSION

Anchoring the cohort to reproducible data points will help create more comparable cohorts in palliative care whilst mitigating its inherent heterogeneity. This, in turn, will help optimise the generalisability, applicability and reproducibility of observational palliative care studies to strengthen the evidence base and improve practice.

End-of-Life Symptom Burden among Patients with Cancer Who Were Provided Medical Assistance in Dying (MAID): A Longitudinal Propensity-Score-Matched Cohort Study

Cancer is the primary underlying condition for most Canadians who are provided Medical Assistance in Dying (MAID). However, it is unknown whether cancer patients who are provided MAID experience disproportionally higher symptom burden compared to those who are not provided MAID. Thus, we used a propensity-score-matched cohort design to evaluate longitudinal symptom trajectories over the last 12 months of patients' lives, comparing cancer patients in Alberta who were and were not provided MAID. We utilized routinely collected retrospective Patient-Reported Outcomes (PROs) data from the Edmonton Symptom Assessment System (ESAS-r) reported by Albertans with cancer who died between July 2017 and January 2019. The data were analyzed using mixed-effect models for repeated measures to compare differences in symptom trajectories between the cohorts over time. Both cohorts experienced increasing severity in all symptoms in the year prior to death (β from 0.086 to 0.231, p ≤ .001 to .002). Those in the MAID cohort reported significantly greater anxiety (β = -0.831, p = .044) and greater lack of appetite (β = -0.934, p = .039) compared to those in the non-MAID cohort. The majority (65.8%) of patients who received MAID submitted their request for MAID within one month of their death. Overall, the MAID patients did not experience disproportionally higher symptom burden. These results emphasize opportunities to address patient suffering for all patients with cancer through routine collection of PROs as well as targeted and early palliative approaches to care.

Comparing quality indicator rates for home care clients receiving palliative and end-of-life care before and during the Covid-19 pandemic

BACKGROUND

The consensus among Canadians with regards to end-of-life preferences is that with adequate support the majority prefer to live and die at home.

PURPOSE

To compare quality indicator (QI) rates for home care clients receiving palliative and end-of-life care prior to and after the onset of the COVID-19 pandemic.

METHODS

A retrospective population-based cohort design was used. Sixteen QIs informed by existing literature and a preliminary set of QIs recently evaluated by a modified Delphi panel were compared. Data were obtained from the interRAI Palliative Care instrument for Ontario home care clients for two separate cohorts: the pre-COVID (January 14, 2019 to March 16, 2020) and COVID cohort (March 17, 2020 to May 18, 2021). A propensity score analysis was used to match (using nearest neighbour matching) on 21 covariates, resulting in a sample size of 2479 unique interRAI Palliative Care assessments in each cohort. Alternative propensity score methods were explored as part of a sensitivity analysis.

RESULTS

After matching the pre-COVID and COVID cohorts, five of the 16 QIs had statistically significant differences in the QI rates (change from pre-COVID to COVID): decrease in prevalence of severe or excruciating daily pain (p = 0.03, effect size=-0.08), decrease in prevalence of caregiver distress (p = 0.02, effect size=-0.06), decrease in prevalence of negative mood (p = 0.003, effect size=- 0.17), decrease in prevalence of a delirium-like syndrome (p = 0.001, effect size=-0.25) and decrease in prevalence of nausea or vomiting (p = 0.04, effect size=-0.06). While the alternative propensity score methods produced slightly different results, no clinically meaningful differences were seen between the cohorts when effect sizes were examined. All methods were in agreement regarding the highest QI rates, which included the prevalence of shortness of breath with activity, no advance directives, and fatigue.

CONCLUSION

This study is the first to examine differences in QI rates for home care clients receiving palliative and end-of-life care before and during COVID in Ontario. It appears that QI rates did not change over the course of the pandemic in this population. Future work should be directed to understanding the temporal variation in these QI rates, risk-adjusting the QI rates for further comparison among jurisdictions, provinces, and countries, and in creating benchmarks for determining acceptable rates of different QIs.

Intensity of end-of-life care among children with life-threatening conditions: a national population-based observational study

BACKGROUND

Children with life-threatening conditions frequently experience high intensity care at the end of life, though most of this research only focused on children with cancer. Some research suggests inequities in care provided based on age, disease type, socioeconomic status, and distance that the child lives from a tertiary hospital. We examined: 1) the prevalence of indicators of high intensity end-of-life care (e.g., hospital stays, intensive care unit [ICU] stays, death in ICU, use of cardiopulmonary resuscitation [CPR], use of mechanical ventilation) and 2) the association between demographic and diagnostic factors and each indicator for children with any life-threatening condition in Canada.

METHODS

We conducted a population-based retrospective cohort study using linked health administrative data to examine care provided in the last 14, 30, and 90 days of life to children who died between 3 months and 19 years of age from January 1, 2008 to December 31, 2014 from any underlying life-threatening medical condition. Logistic regression was used to model the association between demographic and diagnostic variables and each indicator of high intensity end-of-life care except number of hospital days where negative binomial regression was used.

RESULTS

Across 2435 child decedents, the most common diagnoses included neurology (51.1%), oncology (38.0%), and congenital illness (35.9%), with 50.9% of children having diagnoses in three or more categories. In the last 30 days of life, 42.5% (n = 1035) of the children had an ICU stay and 36.1% (n = 880) died in ICU. Children with cancer had lower odds of an ICU stay (OR = 0.47; 95% CI = 0.36-0.62) and ICU death (OR = 0.37; 95%CI = 0.28-0.50) than children with any other diagnoses. Children with 3 or more diagnoses (vs. 1 diagnosis) had higher odds of > 1 hospital stay in the last 30 days of life (OR = 2.08; 95%CI = 1.29-3.35). Living > 400 km (vs < 50 km) from a tertiary pediatric hospital was associated with higher odds of multiple hospitalizations (OR = 2.09; 95%CI = 1.33-3.33).

CONCLUSION

High intensity end of life care is prevalent in children who die from life threatening conditions, particularly those with a non-cancer diagnosis. Further research is needed to understand and identify opportunities to enhance care across disease groups.

Cost and reimbursement analysis of end-of-life cancer inpatients. The case of the Greek public healthcare sector

BACKGROUND

While hospital-based Palliative Care services are usually covered through the main funding healthcare framework, traditional reimbursement methods have been criticized for their appropriateness. The present study investigates for the first time the case of treating end-of-life cancer patients in a Greek public hospital in terms of cost and reimbursement.

METHODS

This retrospective observational study used health administrative data of 135 deceased cancer patients who were hospitalized in the end of their lives. Following the cost estimation procedure, which indentified both the individual patient and overhead costs, we compared the relevant billing data and reimbursement requests to the estimated costs.

RESULTS

The average total cost per patient per day was calculated to be 97 EUR, with equal participation of individual patient's and overhead costs. Length of stay was identified as the main cost driver. Reimbursement was performed either by per-diem fees or by Diagnosis Related Groups' (DRGs), which were correspondingly associated with under or over reimbursement risks. In the case of the combined use of the two available reimbursement alternatives a cross-subsidization phenomenon was described.

CONCLUSION

Although the cost of end-of-life care proved to be quite low, the national per-diem rate fails to cover it. DRGs designed for acute care needs are rather unsuitable for such sub acute hospitalizations.

POLICY SUMMARY

There is a concrete need for reconsidering the current reimbursement schemes for this group of patients as part of any national plan concerning the integration and reformation of Palliative Care services. Otherwise, there is a serious danger for public institutions' reluctance to admit them with a serious impact on access and equity of end-of-life cancer care.

The Quebec Observatory on End-of-Life Care for People with Dementia: Implementation and Preliminary Findings

Most Canadians with dementia die in long-term care (LTC) facilities. No data are routinely collected in Canada on the quality of end-of-life care provided to this vulnerable population, leading to significant knowledge gaps. The Quebec Observatory on End-of-Life Care for People with Dementia was created to address these gaps. The Observatory is a research infrastructure designed to support the collection of data needed to better understand, and subsequently enhance, care quality for residents dying with dementia. This article reports on the main steps involved in setting up the Observatory, as well as a pilot study that involved 172 residents with dementia who died between 2016 and 2018 in one of 13 participating facilities. It describes the data gathered, methodological changes that were made along the way, feedback from participating facilities, and future developments of the Observatory.

End-of-life care quality measures: beyond place of death

BACKGROUND

How quality in healthcare is measured shapes care provision, including how and what care is delivered. In end-of-life care, appropriate measurement can facilitate effective care and research, and when used in policy, highlight deficits and developments in provision and endorse the discipline necessity. The most prevalent end-of-life quality metric, place of death, is not a quality measure: it gives no indication of the quality of care or patient experience in the place of death.

AIM

To evaluate alternative measures to place of death for assessing quality of care in end-of-life provision in all settings.

METHOD

We examine current end-of-life care quality measures for use as metrics for quality in end-of-life care. We categorise approaches to measurement as either: clinical instruments, mortality follow-back surveys or organisational data. We review each category using four criteria: care setting, patient population, measure feasibility, care quality.

RESULTS

While many of the measure types were highly developed for their specific use, each had limitations for measuring quality of care for a population. Measures were deficient because they lacked potential for reporting end-of-life care for patients not in receipt of specialist palliative care, were reliant on patient-proxy accounts, or were not feasible across all care settings.

CONCLUSION

None of the current end-of-life care metric categories can currently be feasibly used to compare the quality of end-of-life care provision for all patients in all care settings. We recommend the development of a bespoke measure or judicious selection and combination of existing measures for reviewing end-of-life care quality.

Inpatient Palliative Care Is Associated with the Receipt of Palliative Care in the Community after Hospital Discharge: A Retrospective Cohort Study

Background: For hospitalized patients with palliative care needs, there is little evidence on whether postdischarge outcomes differ if inpatient palliative care was delivered by a palliative care specialist or nonspecialist/generalist. Objective: To evaluate relationships between inpatient palliative care involvement and physician-delivered palliative care in the community after hospital discharge among individuals with limited life expectancy. Design: Population-based retrospective cohort study using administrative health data. Settings/Subjects: Adults with a predicted median survival of six months or less admitted to acute care hospitals in Ontario, Canada, between April 1, 2013, and March 31, 2017, and discharged to the community. Measurements: Inpatient palliative care involvement was classified as high (e.g., palliative care unit), medium (e.g., palliative care specialist consult), low (e.g., generalist-delivered palliative care), or none. Community palliative care included outpatient and home and clinic visits three weeks postdischarge. Results: Among 3660 hospitalized adults, 82 (2.2%) received inpatient palliative care with high level of involvement, 462 (12.6%) with medium level of involvement, 525 (14.3%) with low level of involvement, and 2591 (70.8%) had no inpatient palliative care. Patients who received inpatient palliative care were more likely to receive community palliative care after discharge than those who received no inpatient palliative care. These associations were stronger among patients who received high/medium palliative care involvement than patients who received low palliative care involvement. Conclusions: Inpatient palliative care, including that delivered by generalists, is associated with an increased likelihood of community palliative care after discharge. Increased inpatient generalist palliative care may help support patients' palliative care needs.

Combining Multiple Decedent Data Sources for a Population-Based Picture of End-of-Life Healthcare Utilization

CONTEXT

Although health systems need to track utilization and mortality, it can be difficult to obtain reliable information on patients who die outside of the health system. This leads to missing data and introduces the potential for bias.

OBJECTIVES

To evaluate the linkage of patient death data sources with a tertiary health system electronic health record (EHR) to increase the accuracy of health system end-of-life healthcare utilization data in the last month and six months of life.

METHODS

The federal Death Master File (DMF) and North Carolina Department of Health and Human Services (NC DHHS) decedent files from 2017 and 2018 were linked to a health system EHR. Descriptive statistics and chi-square tests were utilized to define impact of additional data sources with demographic data and end-of-life utilization.

RESULTS

A total of 65,935 patient deaths were identified through our multi-step data integration process. Approximately a quarter of patients (28.3%) had at least one inpatient or outpatient health system encounter in the last six months of life. Of these, patient deaths identified only in the NC DHHS file were less likely (OR 0.45 [95%CI 0.39-0.52]) to be hospitalized in the last month of life.

CONCLUSION

We describe a method to supplement EHR data with decedent information across data sources. While additional decedent data improves the accuracy of death data in the health system, patient healthcare utilization is biased towards those who use the health system at the end of life.

Capacity Building for Refugee Mental Health in Resettlement: Implementation and Evaluation of Cross-Cultural Trauma-Informed Care Training

Refugee mental health needs are heightened during resettlement but are often neglected due to challenges in service provision, including lack of opportunities for building capacity and partnership among providers. We developed and implemented culturally-responsive refugee mental health training, called Cross-Cultural Trauma-Informed Care (CC-TIC) training. We evaluated CC-TIC, using a free listing and semi-structured retrospective pre- and post-training evaluation with five localities in two states in the U.S. The results showed significant improvement in providers’ knowledge of trauma impacts, cultural expressions of trauma/stress-related symptoms, and culturally-responsive trauma-informed care. Trauma-informed care specific to refugee resettlement was regarded as the most helpful topic and community partnership building as the most requested area for future training. This study emphasizes that culturally-responsive trauma-informed approaches can help bridge gaps between mental health care and resettlement services and promote exchanges of knowledge and expertise to build collaborative care and community partnership.

Impact of mental illness on end-of-life emergency department use in elderly patients with gastrointestinal malignancies

Background

Elderly patients with gastrointestinal cancer and mental illness have significant comorbidities that can impact the quality of their care. We investigated the relationship between mental illness and frequent emergency department (ED) use in the last month of life, an indicator for poor end‐of‐life care quality, among elderly patients with gastrointestinal cancers.

Methods

We used SEER‐Medicare data to identify decedents with gastrointestinal cancers who were diagnosed between 2004 and 2013 and were at least 66 years old at time of diagnosis (median age: 80 years, range: 66–117 years). We evaluated the association between having a diagnosis of depression, bipolar disorders, psychotic disorders, anxiety, dementia, and/or substance use disorders and ED use in the last 30 days of life using logistic regression models.

Results

Of 160,367 patients included, 54,661 (34.1%) had a mental illness diagnosis between one year prior to cancer diagnosis and death. Patients with mental illness were more likely to have > 1 ED visit in the last 30 days of life (15.6% vs. 13.3%, p < 0.01). ED use was highest among patients with substance use (17.7%), bipolar (16.5%), and anxiety disorders (16.4%). Patients with mental illness who were male, younger, non‐white, residing in lower income areas, and with higher comorbidity were more likely to have multiple end‐of‐life ED visits. Patients who received outpatient treatment from a mental health professional were less likely to have multiple end‐of‐life ED visits (adjusted odds ratio 0.82, 95% confidence interval 0.78–0.87).

Conclusions

In elderly patients with gastrointestinal cancers, mental illness is associated with having multiple end‐of‐life ED visits. Increasing access to mental health services may improve quality of end‐of‐life care in this vulnerable population.

Adverse events in deceased hospitalised cancer patients as a measure of quality and safety in end-of-life cancer care

BACKGROUND

Anticancer treatment exposes patients to negative consequences such as increased toxicity and decreased quality of life, and there are clear guidelines recommending limiting use of aggressive anticancer treatments for patients near end of life. The aim of this study is to investigate the association between anticancer treatment given during the last 30 days of life and adverse events contributing to death and elucidate how adverse events can be used as a measure of quality and safety in end-of-life cancer care.

METHODS

Retrospective cohort study of 247 deceased hospitalised cancer patients at three hospitals in Norway in 2012 and 2013. The Global Trigger Tool method were used to identify adverse events. We used Poisson regression and binary logistic regression to compare adverse events and association with use of anticancer treatment given during the last 30 days of life.

RESULTS

30% of deceased hospitalised cancer patients received some kind of anticancer treatment during the last 30 days of life, mainly systemic anticancer treatment. These patients had 62% more adverse events compared to patients not being treated last 30 days, 39 vs. 24 adverse events per 1000 patient days (p < 0.001, OR 1.62 (1.23-2.15). They also had twice the odds of an adverse event contributing to death compared to patients without such treatment, 33 vs. 18% (p = 0.045, OR 1.85 (1.01-3.36)). Receiving follow up by specialist palliative care reduced the rate of AEs per 1000 patient days in both groups by 29% (p = 0.02, IRR 0.71, CI 95% 0.53-0.96).

CONCLUSIONS

Anticancer treatment given during the last 30 days of life is associated with a significantly increased rate of adverse events and related mortality. Patients receiving specialist palliative care had significantly fewer adverse events, supporting recommendations of early integration of palliative care in a patient safety perspective.

Racial Disparities in Health Care Utilization at the End of Life Among New Jersey Medicaid Beneficiaries With Advanced Cancer

PURPOSE

Racial and ethnic disparities in cancer care near the end of life (EOL) have been recognized, but EOL care experienced by Medicaid beneficiaries is not well understood. We assessed the prevalence of aggressive EOL care and hospice enrollment for Medicaid beneficiaries and determined whether racial and ethnic disparities exist.

PATIENTS AND METHODS

We identified Medicaid beneficiaries (age 21-64 years) who were diagnosed from 2011 to 2015 with stage IV breast and colorectal cancer and who died by January 2016 through a New Jersey State Cancer Registry-Medicaid claims linked data set. We measured aggressive EOL care (> 1 hospitalization, > 1 emergency department [ED] visit, any intensive care unit [ICU] admission in the last 30 days of life, and receipt of chemotherapy in the last 14 days of life) and hospice enrollment. Multivariable logistic regression models were used to determine factors associated with aggressive EOL care and hospice enrollment.

RESULTS

Of the 349 patients, 217 (62%) received at least one of the following measures of aggressive EOL care: > 1 hospitalization (27%), > 1 ED visit (31%), ICU admission (30%), and chemotherapy (34%). The adjusted odds of receiving any aggressive care were 1.87 times higher (95% CI, 1.08 to 3.26) for non-Hispanic (NH) Black patients compared with NH White patients. Only 39% of patients enrolled in hospice. No significant differences in hospice enrollment were observed by race or ethnicity.

CONCLUSION

The majority of Medicaid patients with advanced cancer received aggressive EOL care and were not enrolled in hospice. NH Black patients were more likely to receive aggressive EOL care. Further work to understand processes leading to suboptimal EOL care within Medicaid populations and among racial and ethnic minority groups is warranted.

End-of-life experience for older adults in Ireland: results from the Irish longitudinal study on ageing (TILDA)

BACKGROUND

End-of-life experience is a subject of significant policy interest. National longitudinal studies offer valuable opportunities to examine individual-level experiences. Ireland is an international leader in palliative and end-of-life care rankings. We aimed to describe the prevalence of modifiable problems (pain, falls, depression) in Ireland, and to evaluate associations with place of death, healthcare utilisation, and formal and informal costs in the last year of life.

METHODS

The Irish Longitudinal Study on Ageing (TILDA) is a nationally representative sample of over-50-year-olds, recruited in Wave 1 (2009-2010) and participating in biannual assessment. In the event of a participant's death, TILDA approaches a close relative or friend to complete a voluntary interview on end-of-life experience. We evaluated associations using multinomial logistic regression for place of death, ordinary least squares for utilisation, and generalised linear models for costs. We identified 14 independent variables for regressions from a rich set of potential predictors. Of 516 confirmed deaths between Waves 1 and 3, the analytic sample contained 375 (73%) decedents for whom proxies completed an interview.

RESULTS

There was high prevalence of modifiable problems pain (50%), depression (45%) and falls (41%). Those with a cancer diagnosis were more likely to die at home (relative risk ratio: 2.5; 95% CI: 1.3-4.8) or in an inpatient hospice (10.2; 2.7-39.2) than those without. Place of death and patterns of health care use were determined not only by clinical need, but other factors including age and household structure. Unpaid care accounted for 37% of all care received but access to this care, as well as place of death, may be adversely affected by living alone or in a rural area. Deficits in unpaid care are not balanced by higher formal care use.

CONCLUSIONS

Despite Ireland's well-established palliative care services, clinical need is not the sole determinant of end-of-life experience. Cancer diagnosis and access to family supports were additional key determinants. Future policy reforms should revisit persistent inequities by diagnosis, which may be mitigated through comprehensive geriatric assessment in hospitals. Further consideration of policies to support unpaid carers is also warranted.

Management of Cancer-Associated Intestinal Obstruction in the Final Year of Life

BACKGROUND

There is variation in the clinical management of intestinal obstruction (IO) in patients with cancer. We describe the management of cancer-associated IO near the end of life in a population-based cohort with universal health coverage.

METHODS

Patients who died of gastric, colorectal, ovarian, and pancreatic cancers from 2002 to 2015 were identified from the Ontario Cancer Registry. Those with ≥1 hospital admission for IO in the final year of life were identified from administrative data. Management of IO at index admission was categorized as surgery, gastrostomy, stent, feeding jejunostomy, and medical management. Trends in management over the study period were assessed by the Cochran-Armitage test.

RESULTS

The cohort included 57 378 patients (gastric [n = 7448, 13%], colorectal [n = 30 577 53%], ovarian [n = 6273, 11%], and pancreatic [n = 13 080, 23%] cancers). Of those, 7618 (13%) patients had ≥1 admission for IO in the final year of life. Of these patients, 2657 (35%) patients were managed with a surgical/procedural intervention at index admission (surgery [86%], gastrostomy [8%], stent [6%], and jejunostomy [0.4%]); the remaining patients (n = 4961, 65%) received medical management. Over the study period, there was a small but statistically significant increase in the use of stents (0% in 2002 to 5% in 2015, P < .0001) and gastrostomy tubes (2% in 2002 to 4% in 2015, P = .002) and a large decrease in the use of surgery (41% in 2002 to 28% in 2015, P = .04).

CONCLUSIONS

Management of IO has changed over time with the increased use of stents and gastrostomy tubes and decreased use of surgery.

Improving palliative and end-of-life care with machine learning and routine data: a rapid review

Introduction: Improving end-of-life (EOL) care is a priority worldwide as this population experiences poor outcomes and accounts disproportionately for costs. In clinical practice, physician judgement is the core method of identifying EOL care needs but has important limitations. Machine learning (ML) is a subset of artificial intelligence advancing capacity to identify patterns and make predictions using large datasets.  ML approaches have the potential to improve clinical decision-making and policy design, but there has been no systematic assembly of current evidence. Methods: We conducted a rapid review, searching systematically seven databases from inception to December 31st, 2018: EMBASE, MEDLINE, Cochrane Library, PsycINFO, WOS, SCOPUS and ECONLIT.  We included peer-reviewed studies that used ML approaches on routine data to improve palliative and EOL care for adults.  Our specified outcomes were survival, quality of life (QoL), place of death, costs, and receipt of high-intensity treatment near end of life.  We did not search grey literature and excluded material that was not a peer-reviewed article. Results: The database search identified 426 citations. We discarded 162 duplicates and screened 264 unique title/abstracts, of which 22 were forwarded for full text review.  Three papers were included, 18 papers were excluded and one full text was sought but unobtainable.  One paper predicted six-month mortality, one paper predicted 12-month mortality and one paper cross-referenced predicted 12-month mortality with healthcare spending.  ML-informed models outperformed logistic regression in predicting mortality but poor prognosis is a weak driver of costs.  Models using only routine administrative data had limited benefit from ML methods. Conclusion: While ML can in principle help to identify those at risk of adverse outcomes and inappropriate treatment near EOL, applications to policy and practice are formative.  Future research must not only expand scope to other outcomes and longer timeframes, but also engage with individual preferences and ethical challenges.

Improving palliative and end-of-life care with machine learning and routine data: a rapid review

Introduction: Improving end-of-life (EOL) care is a priority worldwide as this population experiences poor outcomes and accounts disproportionately for costs. In clinical practice, physician judgement is the core method of identifying EOL care needs but has important limitations. Machine learning (ML) is a subset of artificial intelligence advancing capacity to identify patterns and make predictions using large datasets.  ML approaches have the potential to improve clinical decision-making and policy design, but there has been no systematic assembly of current evidence. Methods: We conducted a rapid review, searching systematically seven databases from inception to December 31st, 2018: EMBASE, MEDLINE, Cochrane Library, PsycINFO, WOS, SCOPUS and ECONLIT.  We included peer-reviewed studies that used ML approaches on routine data to improve palliative and EOL care for adults.  Our specified outcomes were survival, quality of life (QoL), place of death, costs, and receipt of high-intensity treatment near end of life.  We did not search grey literature and excluded material that was not a peer-reviewed article. Results: The database search identified 426 citations. We discarded 162 duplicates and screened 264 unique title/abstracts, of which 22 were forwarded for full text review.  Three papers were included, 18 papers were excluded and one full text was sought but unobtainable.  One paper predicted six-month mortality, one paper predicted 12-month mortality and one paper cross-referenced predicted 12-month mortality with healthcare spending.  ML-informed models outperformed logistic regression in predicting mortality but poor prognosis is a weak driver of costs.  Models using only routine administrative data had limited benefit from ML methods. Conclusion: While ML can in principle help to identify those at risk of adverse outcomes and inappropriate treatment near EOL, applications to policy and practice are formative.  Future research must not only expand scope to other outcomes and longer timeframes, but also engage with individual preferences and ethical challenges.

Experiences with Prescribing Large Quantities of Systemic Anticancer Therapy Near Death

Background: The most important decision after diagnosing terminal cancer is whether to provide active therapy or withhold treatment. Objective: To analyze the aggressiveness of care by evaluating systemic anticancer therapy (SACT) given near to death, describing this care and identifying factors that determine its use. Design: This involves retrospective observational cohorts study. Setting/Subjects: This involves patients with metastatic tumors who died at a University Hospital in Spain between 2015 and 2016. Measurements: Data obtained from prescribing oncologists and patients' clinical records, type of cancer, and information on treatment. The dependent variable used was the interval between the date of the last dose and date of death. Results: Ninety-four (32.60%) of 288 patients received SACT in the last month of life. This cohort had a higher frequency of lung cancer (OR: 1.58; CI 95%: 1.14-2.18), received more care from oncologist 2 (OR: 1.50; CI 95%: 1.08-2.08), had fewer last-line treatment cycles (OR: 1.28; CI 95%: 1.13-1.45), a lower subjective response (OR: 3.13; CI 95%: 1.34-7.29), less clinical benefit (OR: 2.38; CI 95%: 1.04-5.55), more visits to the Emergency Department (OR: 1.59; CI 95%: 1.06-2.38), and less care from the Palliative Care Unit (OR: 4.55; CI 95%: 2.69-7.70). In multivariate analysis, the predictors of having received SACT close to death remained: receiving fewer cycles of treatment (OR: 1.28; CI 95%: 1.12-1.47) and less palliative care (OR: 4.54; CI 95%: 2.56-7.69). Conclusions: A third of cancer patients received SACT in the last month of life with less efficacy and poorer quality of care than patients not receiving it.

End-of-Life Health Care Utilization Between Chronic Obstructive Pulmonary Disease and Lung Cancer Patients

CONTEXT

At the end of life, chronic obstructive pulmonary disease (COPD) and lung cancer (LC) patients exhibit similar symptoms; however, a large-scale study comparing end-of-life health care utilization between these two groups has not been conducted in East Asia.

OBJECTIVES

To explore and compare end-of-life resource use during the last six months before death between COPD and LC patients.

METHODS

Using data from the Taiwan National Health Insurance Research Database, we conducted a nationwide retrospective cohort study in COPD (n = 8640) and LC (n = 3377) patients who died between 1997 and 2013.

RESULTS

The COPD decedents were more likely to be admitted to intensive care units (57.59% vs 29.82%), to have longer intensive care unit stays (17.59 vs 9.93 days), and to undergo intensive procedures than the LC decedents during their last six months; they were less likely to receive inpatient (3.32% vs 18.24%) or home-based palliative care (0.84% vs 8.17%) and supportive procedures than the LC decedents during their last six months. The average total medical cost during the last six months was approximately 18.42% higher for the COPD decedents than for the LC decedents.

CONCLUSION

Higher intensive health care resource use, including intensive procedure use, at the end of life suggests a focus on prolonging life in COPD patients; it also indicates an unmet demand for palliative care in these patients. Avoiding potentially inappropriate care and improving end-of-life care quality by providing palliative care to COPD patients are necessary.

End-of-Life Health-Care Cost of Patients With Lung Cancer: A Retrospective Study

Introduction:

Lung cancer exerts a significant societal and health-care–related economic burden and chemotherapy drugs constitute a major factor of total direct cost. The aim of the present study was to assess the direct health-care cost of lung cancer in Greece by conducting a retrospective analysis on the last 6 months of life.

Methods:

The present study was based on both the medical data and costs of treatment of deceased adult patients who suffered from terminal stage IIIB/IV lung cancer (non-small cell lung cancer and small cell lung cancer) during the last 6 months of their life. The study’s protocol was approved by the Hospital’s Research Ethics Committee. Costs included outpatient (outpatient services) and inpatient (inpatient services) costs. Descriptive statistics were mainly used for statistical analysis.

Results:

The files of 144 patients were analyzed. The total cost of health-care services for the study population during the last 6 months of life was attributed by 57% to inpatient services, whereas chemotherapy costs (74%) comprised the largest proportion of the total inpatient cost. The highest expenditure for outpatient services was attributed to concomitant medication (59%), followed by the cost of tests (21%) and radiotherapy (20%).

Conclusions:

The results of our study indicate that both inpatient and outpatient costs were substantial. The main inpatient and outpatient cost drivers were chemotherapy and concomitant medication, respectively. A more comprehensive nationwide study would be useful to validate our results and to include also indirect costs of cancer care in Greece.

Access to Palliative Care for Cancer Patients Living in a Northern and Rural Environment in Ontario, Canada: The Effects of Geographic Region and Rurality on End-of-Life Care in a Population-Based Decedent Cancer Cohort

BACKGROUND

Access to palliative care has been associated with improving quality of life and reducing the use of potentially aggressive end-of-life care. However, many challenges and barriers exist in providing palliative care to residents in northern and rural settings in Ontario, Canada.

AIM

The purpose of this study was to examine access to palliative care and associations with the use of end-of-life care in a decedent cohort of northern and southern, rural and urban, residents.

DESIGN

Using linked administrative databases, residents were classified into geographic and rural categories. Regression methods were used to define use and associations of palliative and end-of-life care and death in acute care hospital.

SETTING/PARTICIPANTS

A decedent cancer cohort of Ontario residents (2007-2012).

RESULTS

Northern rural residents were less likely to receive palliative care (adjusted odds ratio [OR] = 0.90, 95% confidence interval [CI]: 0.83-0.97). Those not receiving palliative care were more likely to receive potentially aggressive end-of-life care and die in an acute care hospital (adjusted OR = 1.20, 95% CI: 1.02-1.41).

CONCLUSIONS

Palliative care was significantly associated with reduced use of aggressive end-of-life care; however, disparities exist in rural locations, especially those in the north. Higher usage of emergency department (ED) and hospital resources at end of life in rural locations also reflects differing roles of rural community hospitals compared with urban hospitals. Improving access to palliative care in rural and northern locations is an important care issue and may reduce use of potentially aggressive end-of-life care.

Evaluating Hospital Readmissions for Persons With Serious and Complex Illness: A Competing Risks Approach

Hospital readmission rate is a ubiquitous measure of efficiency and quality. Individuals with life-limiting illnesses account heavily for admissions but evaluation is complicated by high-mortality rates. We report a retrospective cohort study examining the association between palliative care (PC) and readmissions while controlling for postdischarge mortality with a competing risks approach. Eligible participants were adult inpatients admitted to an academic, safety-net medical center (2009-2015) with at least one diagnosis of cancer, heart failure, chronic obstructive pulmonary disease, liver failure, kidney failure, AIDS/HIV, and selected neurodegenerative conditions. PC was associated with reduced 30-, 60-, and 90-day readmissions (subhazard ratios = 0.57, 0.53, and 0.52, respectively [all p < .001]). Hospital PC is associated with a reduction in readmissions, and this is not explained by higher mortality among PC patients. Performance measures only counting those alive at a given end point may underestimate systematically the effects of treatments with a high-mortality rate.

Quality of dying and quality of end-of-life care of nursing home residents in six countries: An epidemiological study

BACKGROUND

Nursing homes are among the most common places of death in many countries.

AIM

To determine the quality of dying and end-of-life care of nursing home residents in six European countries.

DESIGN

Epidemiological survey in a proportionally stratified random sample of nursing homes. We identified all deaths of residents of the preceding 3-month period. Main outcomes: quality of dying in the last week of life (measured using End-of-Life in Dementia Scales - Comfort Assessment while Dying (EOLD-CAD)); quality of end-of-life care in the last month of life (measured using Quality of Dying in Long-Term Care (QoD-LTC) scale). Higher scores indicate better quality.

SETTING/PARTICIPANTS

Three hundred and twenty-two nursing homes in Belgium, Finland, Italy, the Netherlands, Poland and England. Participants were staff (nurses or care assistants) most involved in each resident's care.

RESULTS

Staff returned questionnaires regarding 1384 (81.6%) of 1696 deceased residents. The End-of-Life in Dementia Scales - Comfort Assessment while Dying mean score (95% confidence interval) (theoretical 14-42) ranged from 29.9 (27.6; 32.2) in Italy to 33.9 (31.5; 36.3) in England. The Quality of Dying in Long-Term Care mean score (95% confidence interval) (theoretical 11-55) ranged from 35.0 (31.8; 38.3) in Italy to 44.1 (40.7; 47.4) in England. A higher End-of-Life in Dementia Scales - Comfort Assessment while Dying score was associated with country ( p = 0.027), older age ( p = 0.012), length of stay ⩾1 year ( p = 0.034), higher functional status ( p < 0.001). A higher Quality of Dying in Long-Term Care score was associated with country ( p < 0.001), older age ( p < 0.001), length of stay ⩾1 year ( p < 0.001), higher functional status ( p = 0.002), absence of dementia ( p = 0.001), death in nursing home ( p = 0.033).

CONCLUSION

The quality of dying and quality of end-of-life care in nursing homes in the countries studied are not optimal. This includes countries with high levels of palliative care development in nursing homes such as Belgium, the Netherlands and England.

Hospice use and end-of-life care among older patients with esophageal cancer

BACKGROUND

Hospice and end-of-life health care utilization among patients with esophageal cancer are understudied. We used the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database to analyze hospice use and end-of-life treatment patterns.

METHODS

We included patients diagnosed with esophageal adenocarcinoma or squamous cell carcinoma between 2000 and 2011 and who had died by December 31, 2013. We evaluated patterns of hospice enrollment, chemotherapy receipt, radiation receipt, acute care hospitalizations, and intensive care unit (ICU) admissions at end of life. We used multivariate logistic regression to evaluate possible associations with hospice use, late ICU admission, and late chemotherapy receipt.

RESULTS

Our study included 6449 patients; 3597 (55.8%) enrolled in hospice. Among hospice enrolled patients, 31.4% enrolled in the last 7 days of life. Hospice enrollment increased over time, from 43.2% in 2000 to 59.6% in 2013. Patients who were older, female, with stage IV disease, or those with higher socioeconomic status were more likely to enroll in hospice. Among all patients, 19.1% had an ICU admission within the last 30 days and 4.6% received chemotherapy within the last 14 days of life. Those who were Black or Asian (compared to White), married, or had a comorbidity score >1 were more likely to have a late ICU admission. Males and younger patients were more likely to receive chemotherapy at end of life.

CONCLUSION

Hospice enrollment rates among patients with esophageal cancer have increased over time; however, a significant percentage of patients enrolls near the end of life. Further research is needed to improve understanding of how end-of-life care decisions for these patients are made.

Resource Use During the Last Six Months of Life Among COPD Patients: A Population-Level Study

CONTEXT

Chronic obstructive pulmonary disease (COPD) patients often have several comorbidities, such as cardiovascular diseases (CVDs) or lung cancer (LC), which might influence resource use in the final months of life. However, no previous studies documented end-of-life resource use in COPD patients at a population level, thereby differentiating whether COPD patients die of their COPD, CVD, or LC.

OBJECTIVES

The objectives of the study were to describe end-of-life resource use in people diagnosed with COPD and compare this resource use between those dying of COPD, CVD, and LC.

METHODS

We performed a full-population retrospective analysis of all Belgian decedents. Those who died of COPD were selected based on the primary cause of death. Those who died with COPD but with CVD or LC as a primary cause of death were identified based on a validated algorithm expanded with COPD as intermediate or associated.

RESULTS

Resource use among 13,086 patients dying of or with COPD was studied. Those who died of COPD received less opioids, sedatives, and morphine; used less palliative care services; and received more invasive and noninvasive ventilation as compared to the other two groups. Those who died of LC had more specialist contacts, hospital admissions, and medical imaging as compared to those who died of COPD or CVD. Those who died of CVD used less palliative care services when compared to those who died of LC and had a comparable use of hospital, intensive care unit, home care, opioids, sedatives, and morphine when compared to those who died of COPD.

CONCLUSION

The presence of lung cancer and CVDs influences resource use in COPD patients at life's end. We recommend that future research on end-of-life care in COPD patients systematically accounts for specific comorbidities.

Identification of the trajectory of functional decline for advance care planning in a nursing home population

OBJECTIVE

To identify diagnostic groups and the form of the trajectory of functional decline that has the potential to enhance advance care planning (ACP) in a nursing home (NH) population.

METHODS

Retrospective, longitudinal study with dependent variable (function) derived from the Resident Classification Scale (RCS), 1997-2008. Trajectory modelling used linear and curvilinear terms.

RESULTS

The organ failure or other residents have a linear average functional decline. The organ failure residents had an average decline of 6.5 points per year and average function score at death of 68.6, CI [62.4, 74.8]. The cancer and frailty residents had significant curvilinear terms. The frailty residents had a slower rate of decline at 9.54 points per year and were most care dependent at death, with an average function score of 77.1, CI [73.8, 80.9].

CONCLUSION

Functional change is a measurable variable for a predictive tool to enhance ACP for NH residents based on their diagnosis.

Benchmarking time to initiation of end-of-life homecare nursing: a population-based cancer cohort study in regions across Canada

Background

Several studies have demonstrated the benefits of early initiation of end-of-life care, particularly homecare nursing services. However, there is little research on variations in the timing of when end-of-life homecare nursing is initiated and no established benchmarks.

Methods

This is a retrospective cohort study of patients with a cancer-confirmed cause of death between 2004 and 2009, from three Canadian provinces (British Columbia, Nova Scotia, and Ontario). We linked multiple administrative health databases within each province to examine homecare use in the last 6 months of life. Our primary outcome was mean time (in days) to first end-of-life homecare nursing visit, starting from 6 months before death, by region. We developed an empiric benchmark for this outcome using a funnel plot, controlling for region size.

Results

Of the 28 regions, large variations in the outcome were observed, with the longest mean time (97 days) being two-fold longer than the shortest (55 days). On average, British Columbia and Nova Scotia had the first and second shortest mean times, respectively. The province of Ontario consistently had longer mean times. The empiric benchmark mean based on best-performing regions was 57 mean days.

Conclusions

Significant variation exists for the time to initiation of end-of-life homecare nursing across regions. Understanding regional variation and developing an empiric benchmark for homecare nursing can support health system planners to set achievable targets for earlier initiation of end-of-life care.

Unmet Palliative Care Needs Among Patients With End-Stage Kidney Disease: A National Registry Study About the Last Week of Life

CONTEXT

End-stage kidney disease (ESKD) is characterized by high physical and psychological burden, and therefore, more knowledge about the palliative care provided close to death is needed.

OBJECTIVES

To describe symptom prevalence, relief, and management during the last week of life, as well as end-of-life communication, in patients with ESKD.

METHODS

This study was based on data from the Swedish Register of Palliative Care. Patients aged 18 or older who died from a chronic kidney disease, with or without dialysis treatment (International Classification of Diseases, Tenth Revision, Sweden; N18.5 or N18.9), during 2011 and 2012 were selected.

RESULTS

About 472 patients were included. Of six predefined symptoms, pain was the most prevalent (69%), followed by respiratory secretion (46%), anxiety (41%), confusion (30%), shortness of breath (22%), and nausea (17%). Of patients with pain and/or anxiety, 32% and 44%, respectively, were only partly relieved or not relieved at all. Of patients with the other symptoms, a majority (55%-84%) were partly relieved or not relieved at all. End-of-life discussions were reported in 41% of patients and 71% of families. A minority died in specialized palliative care: 8% in hospice/inpatient palliative care and 5% in palliative home care. Of all patients, 19% died alone. Bereavement support was offered to 38% of families.

CONCLUSION

Even if death is expected, most patients dying with ESKD had unmet palliative care needs regarding symptom management, advance care planning, and bereavement support.

The Final 30 Days of Life

Background:

Studies have reported overly aggressive end-of-life care (EOLC) in many cancers. We investigate trends in, and factors associated with, aggressive EOLC among patients who died of gastrointestinal (GI) cancers in Ontario, Canada.

Methods:

All patients with primary cause of death from esophageal, gastric, colon, and anorectal cancer from January 2003 to December 2013 were identified through the Ontario Cancer Registry, and information was collected from linked databases. Outcomes representing aggressive EOLC were assessed: administration of chemotherapy, any emergency department (ED) visits, hospital admissions, intensive care unit (ICU) admissions (all within 30 days of death), death in hospital and in ICU, and a composite outcome representing any aggressive EOLC. Temporal trends were analyzed using the Cochran-Armitage test.

Results:

There were 34 630 patients in the cohort: 43% colon, 26% anorectal, 19% gastric, and 12% esophageal cancers. Aggressive EOLC was delivered to 65%, with a significantly decreasing trend from 64.8% in 2003 to 62.5% in 2013 ( P = .001). Utilization of specific elements of aggressive EOLC included 8% chemotherapy, 46% ED visits, 49% hospital admissions, 6% ICU admissions, 45% death in hospital, and 5% death in ICU. Trends over the study period showed that ED visits (from 43% to 46.9%; P = .0001) and death in ICU (from 3.7% to 4.9%; P = .04) significantly increased; hospital admissions (from 48.9% to 47.8%; P = .02) and death in hospital (from 46.6% to 38.9%; P < .0001) significantly decreased.

Conclusions:

Two-thirds of patients with GI cancer had aggressive EOLC in the last 30 days of life.

Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life

Purpose Little is known about the patterns and predictors of the use of end-of-life health care among patients with acute myeloid leukemia (AML). End-of-life care is particularly relevant for older adults with AML because of their poor prognosis. Methods We performed a population-based, retrospective cohort study of patients with AML who were ≥ 66 years of age at diagnosis and diagnosed during the period from 1999 to 2011 and died before December 31, 2012. Medicare claims were used to assess patterns of hospice care and use of aggressive treatment. Predictors of these end points were evaluated using multivariable logistic regression analyses. Results In the overall cohort (N = 13,156), hospice care after AML diagnosis increased from 31.3% in 1999 to 56.4% in 2012, but the increase was primarily driven by late hospice enrollment that occurred in the last 7 days of life. Among the 5,847 patients who enrolled in hospice, 47.4% and 28.8% started their first hospice enrollment in the last 7 and 3 days of life, respectively. Among patients who transferred in and out of hospice care, 62% received transfusions outside hospice. Additionally, the use of chemotherapy within the last 14 days of life increased from 7.7% in 1999 to 18.8% in 2012. Patients who were male and nonwhite were less likely to enroll in hospice and more likely to receive chemotherapy or be admitted to intensive care units at the end of life. Conversely, older patients were less likely to receive chemotherapy or have intensive care unit admission at the end of life, and were more likely to enroll in hospice. Conclusion End-of-life care for older patients with AML is suboptimal. Additional research is warranted to identify reasons for their low use of hospice services and strategies to enhance end-of-life care for these patients.

Social determinants, multimorbidity, and patterns of end-of-life care in older adults dying from cancer

OBJECTIVE

Most prior studies on aggressive end-of-life care in older patients with cancer have accounted for social determinants of health (e.g., race, income, and education), but rarely for multimoribidity (MM). In this study, we examine the association between end-of-life care and each of the social determinants of health and MM, hypothesizing that higher MM is associated with less aggressive care.

METHODS

From the linked 1991-2008 Health and Retirement Study, Medicare data, and the National Death Index, we identified fee-for-service patients age ≥66years who died from cancer (n=835). MM was defined as the occurrence or co-occurrence of chronic conditions, functional limitations, and/or geriatric syndromes. Aggressive care was based on claims-derived measures of receipt of cancer-directed treatment in the last two weeks of life; admission to the hospital and/or emergency department (ED) within the last month; and in-hospital death. We also identified patients enrolled in hospice. In multivariable logistic regression models, we analyzed the associations of interest, adjusting for potential confounders.

RESULTS

While 61.2% of the patients enrolled in hospice, 24.6% underwent cancer-directed treatment; 55.1% were admitted to the hospital and/or ED; and 21.7% died in the hospital. We observed a U-shaped distribution between income and in-hospital death. Chronic conditions and geriatric syndromes were associated with some outcomes, but not with others.

CONCLUSIONS

To improve quality end-of-life care and curtail costs incurred by dying patients, relevant interventions need to account for social determinants of health and MM in a nuanced fashion.

Physician Characteristics Strongly Predict Patient Enrollment In Hospice

Individual physicians are widely believed to play a large role in patients' decisions about end-of-life care, but little empirical evidence supports this view. We developed a novel method for measuring the relationship between physician characteristics and hospice enrollment, in a nationally representative sample of Medicare patients. We focused on patients who died with a diagnosis of poor-prognosis cancer in the period 2006-11, for whom palliative treatment and hospice would be considered the standard of care. We found that the proportion of a physician's patients who were enrolled in hospice was a strong predictor of whether or not that physician's other patients would enroll in hospice. The magnitude of this association was larger than that of other known predictors of hospice enrollment that we examined, including patients' medical comorbidity, age, race, and sex. Patients cared for by medical oncologists and those cared for in not-for-profit hospitals were significantly more likely than other patients to enroll in hospice. These findings suggest that physician characteristics are among the strongest predictors of whether a patient receives hospice care-which mounting evidence indicates can improve care quality and reduce costs. Interventions geared toward physicians, both by specialty and by previous history of patients' hospice enrollment, may help optimize appropriate hospice use.

The economic burden of end-of-life care in metastatic breast cancer

OBJECTIVE

To assess end-of-life (EOL) total healthcare costs and resource utilization during the last 6 months of claims follow-up among patients with metastatic breast cancer (MBC) who received systemic anti-neoplastic therapy.

METHODS

Newly diagnosed females with MBC initiating treatment January 1, 2003-June 30, 2011 were identified in a large commercial claims database. Two cohorts were defined based on a proxy measure for EOL 1 month prior to the end of last recorded follow-up within the study period: patients who were assumed dead at end of claims follow-up (EOL cohort) and patients who were alive (no-end-of-life [NEOL] cohort). Proxy measures for EOL were obtained from published literature and clinical expert opinion. Cost and resource utilization were evaluated for the 6 months prior to end of claims follow-up. Baseline variables, resource utilization, and costs were compared between cohorts with univariate statistical tests. Adjusted relative risks were calculated for resource utilization measures. A covariate-adjusted generalized linear model evaluated 6-month total healthcare costs.

RESULTS

Of the 3,878 females included, 18.5% (n = 718) met the criteria for EOL. Mean observational time (MBC onset to end of claims follow-up) was shorter for the EOL cohort (EOL, 32 months vs NEOL, 35 months; p < 0.001). In adjusted analyses, the EOL cohort had 4.15 times higher 6-month total healthcare costs (EOL, $72,112 vs NEOL, $17,137; p < 0.001). NEOL month-to-month mean total healthcare costs fluctuated between $2336-$3145, while EOL costs increased steadily from $8,956 in the sixth month prior to death to $19,326 in the last month of life. The adjusted relative risk of inpatient, hospice and emergency department utilization was >2 times higher in the EOL cohort (p < 0.001).

CONCLUSIONS

Potential EOL presented a greater economic burden in the 6 months prior to death. EOL month-to-month costs increased precipitously in the last 2 months of life and were driven by acute inpatient care.

Resource Use and Health Care Costs of COPD Patients at the End of Life: A Systematic Review

CONTEXT

Patients with chronic obstructive pulmonary disease (COPD) in their final months of life potentially place a high burden on health care systems. Concrete knowledge about resources used and costs incurred by those patients at the end of life is crucial for policymakers.

OBJECTIVES

The aim of this systematic review was to describe the resources used and costs incurred by patients with COPD at the end of life.

METHODS

We performed a comprehensive literature search in MEDLINE, Web of Science, and EconLit. We screened 886 abstracts and subsequently reviewed 80 full-text articles. Inclusion criteria were at least one type of resource use and/or cost outcome reported in adults diagnosed with COPD during an end-of-life period. Subsequently, we performed quality appraisal consistent with the ISPOR checklist for retrospective database studies and accomplished comprehensive data extraction.

RESULTS

Ten articles fulfilled the inclusion criteria. Three, five, and two studies described European, North American, and Asian health care settings, respectively. All studies had a retrospective design and were published between 2006 and 2015. We observed a very variable resource use, an increased number of hospitalizations, intensive care unit stays, primary care consultations and medication prescriptions, as well as a lack of utilization of formal palliative care services in end-of-life COPD patients. Specific cost items were not well described.

CONCLUSION

The high use of health care resources in COPD patients in the final months of life suggests a focus on prolonging life and a tendency toward aggressive care. Limiting potentially inappropriate care and improving the quality of end-of-life care in advanced COPD are, therefore, important public health challenges.

Specialist Pediatric Palliative Care Referral Practices in Pediatric Oncology: A Large 5-year Retrospective Audit

Purpose:

To audit referral practices of pediatric oncologists referred to specialist pediatric palliative care services.

Patients and Methods:

Retrospective review of medical case records of pediatric palliative care patients over a period of 5 years from January 1, 2010 to December 31, 2014. Descriptive summaries of demographic, clinical variables, and patient circumstances at the time of referral and during end-of-life care were examined.

Results:

A total of 1135 patients were referred from pediatric oncology with a gradual increasing trend over 5 years. About 84.6% consultations took place in the outpatient setting. In 97.9% of the cases, parents were the primary caregivers. Availability of specialist pediatric health-care services at local places was available in 21.2% cases and 48% families earned <5000 INR (approximately 73 USD) in a month. Around 28.3% of the referrals were from leukemia clinic and maximum references were late with 72.4% patients having advanced disease at presentation. 30.3% of the referrals were made for counseling and communication and 54.2% had high symptom burden during referral. After referral, 21.2% patients continued with oral metronomic chemotherapy and 10.5% were referred back to oncology services for palliative radiotherapy. Only 4.9% patients had more than 2 follow-ups. 90.8% of the patients were cared for at home in the last days of illness by local general practitioners. 70.6% of the deaths were anticipated.

Conclusions:

Oncologists referred patients late in the course of disease trajectory. Most of the referrals were made for counseling and communication, but many patients had high symptom burden during referral.

Trends in the Aggressiveness of End-of-Life Cancer Care in the State of Qatar

Purpose

Quality of end-of-life (EOL) care is a key component of excellence in cancer care, and monitoring indicators for quality of EOL cancer care is crucial to providing excellent care. The aim of the current study is to describe the relative aggressiveness of EOL cancer care in the state of Qatar and to compare it with international figures.

Methods

We analyzed all deaths from cancer in Qatar between January 1, 2009 and December 31, 2013. A total of 784 eligible patients were studied to assess aggressiveness of cancer care at EOL.

Results

The average number of intensive care unit admissions per person decreased from 0.44 to 0.22 (P < .001) over the period of study. In addition, patients spent fewer days in the intensive care unit (2.79 to 1.82 days; P = .006) and made fewer visits to the emergency department (1.00 to 0.52 visits; P < .001) in the last 30 days of life. Fewer patients had at least one aggressive treatment measure at EOL during the 5-year period (82.3% to 71.0%; P = .038). The mean composite score for aggressiveness of EOL care decreased from 2.24 to 1.92 (P < .01).

Conclusion

The aggressiveness of EOL cancer care has significantly decreased over time in Qatar; however, despite this decrease, the rate is still higher than that reported internationally. The integration of community palliative care services in Qatar may further decrease the aggressiveness of cancer care at EOL.

Understanding Oral Chemotherapy Prescribing Patterns at the End of Life at a Comprehensive Cancer Center: Analysis of a Massachusetts Payer Claims Database

Processed claims for chemotherapy, including oral, sharply declined during the last 30 days of life, consistent with a shift to palliative management.

Access to oncology consultation in a cancer cohort in northeastern Ontario

BACKGROUND

To enhance cancer symptom management for residents of Sudbury-Manitoulin District, an ambulatory palliative clinic (pac) was established at the Northeast Cancer Centre of Health Sciences North. The pac is accessed from a medical or radiation oncology consultation. The primary purpose of the present population-based retrospective study was to estimate the percentage of cancer patients who died without ever having a medical or radiation oncology consultation. A secondary purpose was to determine factors associated with never having received one of those specialized consultations.

METHODS

Administrative data was obtained through the Ontario Cancer Data Linkage Project. For each index case, we constructed a timeline, in days, of all Ontario Health Insurance Plan billing codes and associated service dates starting with the primary cancer diagnosis and ending with death.

RESULTS

Within the 5-year study period (2004-2008), 6683 people in the area of interest with a valid record of primary cancer diagnosis died from any cause. Most (n = 5988, 89.6%) had 1 primary cancer diagnosis. For that subgroup, excluding those with a disease duration of 0 days (n = 67), about 18.4% (n = 1088) never had a consultation with a medical or radiation oncologist throughout their disease trajectory. Patients who were older or who resided in a rural area were significantly less likely to have had a consultation.

CONCLUSIONS

Specific strategies directed toward older and rural patients might help to address this important access-to-care issue.

Measuring intensity of end of life care: a systematic review

Background

Many studies have measured the intensity of end of life care. However, no summary of the measures used in the field is currently available.

Objectives

To summarise features, characteristics of use and reported validity of measures used for evaluating intensity of end of life care.

Methods

This was a systematic review according to PRISMA guidelines. We performed a comprehensive literature search in Ovid Medline, Embase, The Cochrane Library of Systematic Reviews and reference lists published between 1990-2014. Two reviewers independently screened titles, abstracts, full texts and extracted data. Studies were eligible if they used a measure of end of life care intensity, defined as all quantifiable measures describing the type and intensity of medical care administered during the last year of life.

Results

A total of 58 of 1590 potentially eligible studies met our inclusion criteria and were included. The most commonly reported measures were hospitalizations (n = 44), intensive care unit admissions (n = 39) and chemotherapy use (n = 27). Studies measured intensity of care in different timeframes ranging from 48 hours to 12 months. The majority of studies were conducted in cancer patients (n = 31). Only 4 studies included information on validation of the measures used. None evaluated construct validity, while 3 studies considered criterion and 1 study reported both content and criterion validity.

Conclusions

This review provides a synthesis to aid in choosing intensity of end of life care measures based on their previous use but simultaneously highlights the crucial need for more validation studies and consensus in the field.

Retrospective studies of end-of-life resource utilization and costs in cancer care using health administrative data: a systematic review

BACKGROUND

There has been an increase in observational studies using health administrative data to examine the nature, quality, and costs of care at life's end, particularly in cancer care.

AIM

To synthesize retrospective observational studies on resource utilization and/or costs at the end of life in cancer patients. We also examine the methods and outcomes of studies assessing the quality of end-of-life care.

DESIGN

A systematic review according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and AMSTAR (A Measurement Tool to Assess Systematic Reviews) methodology.

DATA SOURCES

We searched MEDLINE, Embase, CINAHL, and York Centre for Research and Dissemination (1990-2011). Independent reviewers screened abstracts of 14,424 articles, and 835 full-text manuscripts were further reviewed. Inclusion criteria were English-language; at least one resource utilization or cost outcome in adult cancer decedents with solid tumors; outcomes derived from health administrative data; and an exclusive end-of-life focus.

RESULTS

We reviewed 78 studies examining end-of-life care in over 3.7 million cancer decedents; 33 were published since 2008. We observed exponential increases in service use and costs as death approached; hospital services being the main cost driver. Palliative services were relatively underutilized and associated with lower expenditures than hospital-based care. The 15 studies using quality indicators demonstrated that up to 38% of patients receive chemotherapy or life-sustaining treatments in the last month of life and up to 66% do not receive hospice/palliative services.

CONCLUSION

Observational studies using health administrative data have the potential to drive evidence-based palliative care practice and policy. Further development of quality care markers will enhance benchmarking activities across health care jurisdictions, providers, and patient populations.