Medical costs of Swedish nursing home residents at the end of life: a retrospective observational registry study.

BACKGROUND: There are many studies of medical costs in late life in general, but nursing home residents' needs and the costs of external medical services and interventions outside of nursing home services are less well described. METHODS: We examined the direct medical costs of nursing home residents in their last year of life, as well as limited to the period of stay in the nursing home, adjusted for age, sex, Hospital Frailty Risk Score (HFRS), and diagnosis of dementia or advanced cancer. This was an observational retrospective study of registry data from all diseased nursing home residents during the years 2015-2021 using healthcare consumption data from the Stockholm Regional Council, Sweden. T tests, Wilcoxon rank sum tests and chi-square tests were used for comparisons of groups, and generalized linear models (GLMs) were constructed for univariable and multivariable linear regressions of health cost expenditures to calculate risk ratios (RRs) with 95% confidence intervals (95% CIs). RESULTS: According to the adjusted (multivariable) models for the 38,805 studied nursing home decedents, when studying the actual period of stay in nursing homes, we found significantly greater medical costs associated with male sex (RR 1.29 (1.25-1.33), p < 0.0001) and younger age (65-79 years vs. ≥90 years: RR 1.92 (1.85-2.01), p < 0.0001). Costs were also greater for those at risk of frailty according to the Hospital Frailty Risk Score (HFRS) (intermediate risk: RR 3.63 (3.52-3.75), p < 0.0001; high risk: RR 7.84 (7.53-8.16), p < 0.0001); or with advanced cancer (RR 2.41 (2.26-2.57), p < 0.0001), while dementia was associated with lower medical costs (RR 0.54 (0.52-0.55), p < 0.0001). The figures were similar when calculating the costs for the entire last year of life (regardless of whether they were nursing home residents throughout the year). CONCLUSIONS: Despite any obvious explanatory factors, male and younger residents had higher medical costs at the end of life than women. Having a risk of frailty or a diagnosis of advanced cancer was strongly associated with higher costs, whereas a dementia diagnosis was associated with lower external, medical costs. These findings could lead us to consider reimbursement models that could be differentiated based on the observed differences.

Medicare-Covered Services Near the End of Life in Medicare Advantage vs Traditional Medicare.

Importance: Financial incentives in Medicare Advantage (MA), the managed care alternative to traditional Medicare (TM), were designed to reduce overutilization. For patients near the end of life (EOL), MA incentives may reduce potentially burdensome care and encourage hospice but could also restrict access to costly but necessary services. Objective: To compare receipt of potentially burdensome treatments and transfers and potentially necessary postacute services in the last 6 months of life in individuals with MA vs TM. Design, Setting, and Participants: A retrospective analysis of Medicare claims data among older Medicare beneficiaries who died between 2016 and 2018. The study included Medicare decedents aged 66 years or older covered by TM (n = 659 135) or MA (n = 360 430). All decedents and the subset of decedents with 1 or more emergent hospitalizations with a life-limiting condition (cancer, dementia, end-stage organ failure) that would likely qualify for hospice care were included. Exposure: MA enrollment. Main Outcomes: Receipt of potentially burdensome hospitalizations and treatments; receipt of postdischarge home and facility care. Results: The study included 659 135 TM enrollees (mean [SD] age at death, 83.3 [9.0] years, 54% female, 15.1% non-White, 55% with 1 or more life-limiting condition) and 360 430 MA enrollees (mean [SD] age at death 82.5 [8.7] years, 53% female, 19.3% non-White, 49% with 1 or more life-limiting condition). After regression adjustment, MA enrollees were less likely to receive potentially burdensome treatments (-1.6 percentage points (pp); 95% CI, -2.1 to -1.1) and less likely to die in a hospital (-3.3 pp; 95% CI, -4.0 to -2.7) compared with TM. However, when hospitalized, MA enrollees were more likely to die in the hospital (adjusted difference, 1.3 pp; 95% CI, 1.1-1.5) and less likely to be transferred to rehabilitative or skilled nursing facilities (-5.2 pp; 95% CI, -5.7 to -4.6). Higher rates of home health and home hospice among those discharged home offset half of the decline in facility use. Results were unchanged in the life-limiting conditions sample. Conclusions: MA enrollment was associated with lower rates of potentially burdensome and facility-based care near the EOL. Greater use of home-based care may improve quality of care but may also leave patients without adequate assistance after hospitalization.

The cost of providing care by family and friends (informal care) in the last year of life: A population observational study.

INTRODUCTION: Little is known about replacement costs of care provided by informal carers during the last year of life for people dying of cancer and non-cancer diseases. AIM: To estimate informal caregiving costs and explore the relationship with carer and decedent characteristics. DESIGN: National observational study of bereaved carers. Questions included informal end-of-life caregiving into the 2017 Health Survey for England including estimated recalled frequency, duration and intensity of care provision. We estimated replacement costs for a decedent's last year of life valuing time at the price of a substitutable activity. Spearman rank correlations and multivariable linear regression were used to explore relationships with last year of life costs. SETTING/PARTICIPANTS: Adult national survey respondents - England. RESULTS: A total of 7997 adults were interviewed from 5767/9612 (60%) of invited households. Estimated replacement costs of personal care and other help were £27,072 and £13,697 per carer and a national cost of £13.2 billion and £15.5 billion respectively. Longer care duration and intensity, older age, death at home (lived together), non-cancer cause of death and greater deprivation were associated with increased costs. Female sex, and not accessing 'other care services' were related to higher costs for other help only. CONCLUSION: We provide a first adult general population estimate for replacement informal care costs in the last year of life of £41,000 per carer per decedent and highlight characteristics associated with greater costs. This presents a major challenge for future universal care coverage as the pool of people providing informal care diminish with an ageing population.

Trajectories of medical care expenditure in the last year of life associated with long-term care utilization in frail older adults: A retrospective cohort study.

BACKGROUND: Medical care and long-term care utilization in the last year of life of frail older adults could be a key indicator of their quality of life. This study aimed to identify the medical care expenditure (MCE) trajectories in the last year of life of frail older adults by investigating the association between MCE and long-term care utilization in each trajectory. METHODS: The retrospective cohort study of three municipalities in Japan included 405 decedents (median age at death, 85 years; 189 women [46.7%]) from a cohort of 1,658 frail older adults aged ≥65 years who were newly certified as support level in the long-term care insurance program from April 2012 to March 2013. This study used long-term care and medical insurance claim data from April 2012 to March 2017. The primary outcome was MCE over the 12 months preceding death. Group-based trajectory modeling was conducted to identify the MCE trajectories. A mixed-effect model was employed to examine the association between long-term care utilization and MCE in each trajectory. RESULTS: Participants were stratified into four groups based on MCE trajectories over the 12 months preceding death as follows: rising (n = 159, 39.3%), persistently high (n = 143, 35.3%), minimal (n = 56, 13.8%), and descending (n = 47, 11.6%) groups. Home-based long-term care utilization was associated with increased MCE in the descending trajectory (coefficient, 1.48; 95% confidence interval [CI], 1.35-1.62). Facility-based long-term care utilization was associated with reduced MCE in the rising trajectory (coefficient, 0.59; 95% CI, 0.50-0.69). Both home-based (coefficient, 0.92; 95% CI, 0.85-0.99) and facility-based (coefficient; 0.53; 95% CI, 0.41-0.63) long-term care utilization were associated with reduced MCE in the persistently high trajectory. CONCLUSIONS: These findings may facilitate the integration of medical and long-term care models at the end of life in frail older adults.

Healthcare use and costs in the last six months of life by level of care and cause of death.

BACKGROUND: Existing knowledge on healthcare use and costs in the last months of life is often limited to one patient group (i.e., cancer patients) and one level of healthcare (i.e., secondary care). Consequently, decision-makers lack knowledge in order to make informed decisions about the allocation of healthcare resources for all patients. Our aim is to elaborate the understanding of resource use and costs in the last six months of life by describing healthcare use and costs for all causes of death and by all levels of formal care. METHOD: Using five national registers, we gained access to patient-level data for all individuals who died in Norway between 2009 and 2013. We described healthcare use and costs for all levels of formal care-namely primary, secondary, and home- and community-based care -in the last six months of life, both in total and differentiated across three time periods (6-4 months, 3-2 months, and 1-month before death). Our analysis covers all causes of death categorized in ten ICD-10 categories. RESULTS: During their last six months of life, individuals used an average of healthcare resources equivalent to €46,000, ranging from €32,000 (Injuries) to €64,000 (Diseases of the nervous system and sense organs). In terms of care level, 63% of healthcare resources were used in home- and community-based care (i.e., in-home nursing, practical assistance, or nursing home care), 35% in secondary care (mostly hospital care), and 2% in primary care (i.e., general practitioners). The amount and level of care varied by cause of death and by time to death. The proportion of home- and community-based care which individuals received during their last six months of life varied from 38% for cancer patients to 92% for individuals dying with mental diseases. The shorter the time to death, the more resources were needed: nearly 40% of all end-of-life healthcare costs were expended in the last month of life across all causes of death. The composition of care also differed depending on age. Individuals aged 80 years and older used more home- and community-based care (77%) than individuals dying at younger ages (40%) and less secondary care (old: 21% versus young: 57%). CONCLUSIONS: Our analysis provides valuable evidence on how much healthcare individuals receive in their last six months of life and the associated costs, broken down by level of care and cause of death. Healthcare use and costs varied considerably by cause of death, but were generally higher the closer a person was to death. Our findings enable decision-makers to make more informed resource-allocation decisions and healthcare planners to better anticipate future healthcare needs.

Long-Term Engagement of Patients With Advanced Cancer: Results From the EPAC Randomized Clinical Trial.

Importance: The long-term effect of interventions that assist patients with establishing their end-of-life care preferences among patients with cancer remain relatively unknown. Objective: To evaluate the association of a long-term intervention of a lay health worker-led advance care planning intervention among patients with advanced stages of cancer with overall survival and end-of-life health care use and costs. Design, Setting, and Participants: This follow-up study of the EPAC randomized clinical trial conducted between August 2013 and February 2015 used data from 9.4 years after the first patient was enrolled with a data cut-off date of February 1, 2023. Overall, 213 participants with stage 3 or 4 or recurrent cancer in the US Veterans Affairs Palo Alto Health Care System were included. Interventions: A 6-month lay health worker-led education and support intervention to assist patients with establishing their end-of-life preferences vs usual care. Main Outcomes and Measures: The outcomes of interest were overall survival, risk of death, restricted mean survival time, and palliative care, hospice, and acute care use in the final 30 days before death for participants who died. Results: Among 213 participants randomized and included in the intention-to-treat analysis, the mean (SD) age was 69.3 (9.1) years; 211 (99.1%) were male, 2 (0.90%) were female. There were no demographic or clinical characteristic imbalances at enrollment. As of February 1, 2023, 188 had died. The intervention group had a 25% reduction in risk of death (hazard ratio, 0.75; 95% CI, 0.56-0.98); more palliative care (44 [50.0%] vs 35 [35.0%]) and hospice use (64 [72.7%] vs 53 [53.0%]); and lower emergency department use (20 [22.7%] vs 47 [47.0%]), hospitalizations (17 [19.3%] vs 46 [46.0%]), and median (IQR) total health care costs (median [IQR], $1637 [$383-$9026] vs $18 520 [$4790-$50 729]) than control group participants. Conclusions and Relevance: The effects of the lay health worker-led intervention remain durable, with nearly complete follow-up, supporting integration into routine cancer care. Trial Registration: ClinicalTrials.gov Identifier: NCT02966509.

Understanding the National Institute for Health and Care Excellence Severity Premium: Exploring Its Implementation and the Implications for Decision Making and Patient Access.

OBJECTIVES: This study aimed to evaluate the impact of the National Institute for Health and Care Excellence's (NICE) new severity modifier, which has replaced the end-of-life (EoL) premium, on future NICE recommendations, considering past decision-making patterns. METHODS: NICE technology appraisals (TAs) published between January 2020 and December 2022 were reviewed. Summary statistics were generated to assess how the new severity modifier might affect hypothetical decision making in historical TAs. RESULTS: A total of 138 data points were identified from 132 TAs. Although the EoL premium was applied in 46 appraisals (33%), 57 (39%) qualify for a severity-based quality-adjusted life-year (QALY) multiplier. Only 19 appraisals (14.6%) not receiving an EoL premium met the severity criteria, the majority (17) qualifying for a 1.2× multiplier. In appraisals predicted to meet the severity criteria, 45 (79%) were in oncology, making them 4.04 times (95% CI 1.91-9.02) more likely to qualify for a severity modifier than nononcology indications. Among historically EoL indications, 42 (91%) were predicted to meet the severity criteria, making them 14.8 times (95% CI 6.37-37.6) more likely to qualify for a severity modifier. CONCLUSIONS: The new severity modifier will predominantly benefit oncology indications, continuing their previous explicit prioritization under the EoL decision modifier. However, the new severity modifier is harder to achieve and less generous; only a fraction of appraisals qualify for the highest effective £51 000 per QALY threshold. The vast majority of indications previously approved at £50 000 per QALY would now need to meet a cost-effectiveness threshold of <£36 000. This may necessitate greater pricing flexibility from manufacturers and increase the likelihood of negative recommendations.

Heart failure and the cost of dying: must the ferryman always be paid?

BACKGROUND: Provision of palliative care in chronic heart failure (CHF) can support complex decision-making, significantly improve quality of life and may lower healthcare costs. AIMS: To examine whether healthcare costs differed in terminal admissions according to the adoption of a palliative approach. DESIGN: Retrospective review of medical records and costing data for all admissions resulting in death from CHF (July 2011 to December 2019), analysed as two groups (2011-2016 and 2016-2019) because of background changes in costings. SETTING: Admissions with CHF resulting in death in an Australian tertiary referral centre. RESULTS: The cohort (n = 439) were elderly (median age 83.7 years, interquartile range (IQR) = 77.6-88.7 years) and mostly men (54.9%). Half (230, 52.4%) were referred to a specialist palliative care team, whereas over a third (172, 39.2%) received a palliative approach. Receiving a palliative approach was associated with a nonstatistically significant lower admission cost (AU$12 710 vs AU$15 978; P = 0.19) between 2011 and 2016 (n = 101, 38.8%) and a significantly lower cost (AU$11 319 vs AU$15 978; P < 0.01) between 2016 and 2019 (n = 71, 39.7%). Intensive care admission resulted in the single greatest additional cost at AU$14 624 (IQR = AU$4130-AU$44 197) (n = 48, 2011-2016). Median terminal admission cost was lower for patients with comfort goals of care (P < 0.01), without life-sustaining interventions (P < 0.01) or who received a palliative approach (P < 0.01). Referral to inpatient specialist palliative care or receiving a palliative approach resulted in comparable admission costings (AU$11 621 [IQR = AU$4705-AU$32 457] and AU$11 466 [IQR = AU$4973-AU$25 614]). CONCLUSION: A palliative approach in terminal CHF admission may improve quality at the end of life and decrease costs associated with care.

Costs of End-of-Life Hospitalizations in the United States for People With Pulmonary Diseases.

BACKGROUND: Lung transplantation is a lifesaving intervention for people with advanced lung disease, but it is costly and resource-intensive. To investigate the cost-effectiveness of lung transplantation as a treatment option in pulmonary disease, we must understand costs attributable to end-of-life hospitalizations for end-stage lung disease. RESEARCH QUESTION: What are the costs associated with end-of-life hospitalizations for people with pulmonary disease, and how have these trends changed over time? STUDY DESIGN AND METHODS: Adults aged 18 to 74 years with hospitalization data in the Cost and Utilization Project National Inpatient Sample data from 2009 to 2019 with a pulmonary disease admission were included in this analysis. Those with a history of lung transplantation were excluded. International Classification of Diseases codes were used to identify pulmonary disease admissions, complications, and procedures and interventions. Total charges were calculated for hospitalizations and stratified by patient status at time of discharge. Trends in charges over time were assessed by demographic and hospital factors. RESULTS: One hundred nine thousand nine hundred twenty-four (4.1%) hospital admissions for pulmonary disease resulted in in-hospital mortality. Those with obstructive lung disease accounted for 94.1% of hospitalizations and 88.1% cases of in-hospital mortality. Estimated costs for end-of-life hospitalizations were $29,981 on average with wide variation in cost by diagnosis and procedure utilization. Inpatient costs were highest for younger people who received more procedures. Among the most expensive admissions, mechanical ventilation accounted for the greatest proportion of interventions. Significant increases in the use of mechanical ventilation, extracorporeal membrane oxygenation, and dialysis occurred over the time period. The rate of hospital transfers increased with a proportionately greater increase across admissions resulting in in-hospital mortality. INTERPRETATION: Costs accrued during end-of-life hospitalizations vary across people but represent a significant health care cost that can be averted for selected people who undergo lung transplantation. These costs should be considered in studies of cost-effectiveness in lung transplantation.

Estimating the Costs of End-of-Life Care in Patients With Advanced Cancer From the Perspective of an Insurance Organization: A Cross-Sectional Study in Iran.

OBJECTIVES: Cancers are significant medical conditions that contribute to the rising costs of healthcare systems and chronic diseases. This study aimed to estimate the average costs of medical services provided to patients with advanced cancers at the end of life (EOL). METHODS: We analyzed data from the Sata insurance claim database and the Health Information System of Baqiyatallah hospital in Iran. The study included all adult decedents who had advanced cancer without comorbidities, died between March 2020 and September 2020, and had a history of hospitalization in the hospital. We calculated the average total cost of healthcare services per patient during the EOL period, including both cancer-related and noncancer-related costs. RESULTS: A total of 220 patients met the inclusion criteria. The average duration of the EOL period for these patients was 178 days, with an average total cost of $8278 (SD $5698) for men and $9396 (SD $6593) for women. Cancer-related costs accounted for 64.42% of the total costs, including inpatient and outpatient services. Among these costs, hospitalization was the primary cost driver and had the greatest impact on EOL costs. This observation was supported by the multiple linear regression model, which suggested that hospitalization in the final days of life could potentially drive costs in these patients. Notably, no specialized palliative care was provided to the patients included in this study. CONCLUSIONS: The results demonstrate that there is a significant rise in costs of care in patients receiving routine cancer care rather than optimized EOL care.

Disparities in healthcare expenditures according to economic status in cancer patients undergoing end-of-life care.

BACKGROUNDS: A desire for better outcome influences cancer patients' willingness to pay. Whilst cancer-related costs are known to have a u-shaped distribution, the actual level of healthcare utilized by patients may vary depending on income and ability to pay. This study examined patterns of healthcare expenditures in the last year of life in patients with gastric, colorectal, lung, and liver cancer and analyzed whether differences exist in the level of end-of-life costs for cancer care according to economic status. METHODS: This study is a retrospective cohort study which used data from the Korean National Elderly Sampled Cohort, 2002 to 2015. End-of-life was defined as 1 year before death. Economic status was classified into three categorical variables according to the level of insurance premium (quantiles). The relationship between the dependent and independent variables were analyzed using multiple gamma regression based on the generalized estimated equation (GEE) model. RESULTS: This study included 3083 cancer patients, in which total healthcare expenditure was highest in the high-income group. End-of-life costs increased the most in the last 3 months of life. Compared to individuals in the 'middle' economic status group, those in the 'high' economic status group (RR 1.095, 95% CI 1.044-1.149) were likely to spend higher amounts. The percentage of individuals visiting a general hospital was highest in the 'high' economic status group, followed by the 'middle' and 'low' economic status groups. CONCLUSION: Healthcare costs for cancer care increased at end-of-life in Korea. Patients of higher economic status tended to spender higher amounts of end-of-life costs for cancer care. Further in-depth studies are needed considering that end-of-life medical costs constitute a large proportion of overall expenditures. This study offers insight by showing that expenditures for cancer care tend to increase noticeably in the last 3 months of life and that differences exist in the amount spent according economic status.

Disparities in Care Management During Terminal Hospitalization Among Adults With Metastatic Cancer From 2010 to 2017.

Importance: Many patients with metastatic cancer receive high-cost, low-value care near the end of life. Identifying patients with a high likelihood of receiving low-value care is an important step to improve appropriate end-of-life care. Objective: To analyze patterns of care and interventions during terminal hospitalizations and examine whether care management is associated with sociodemographic status among adult patients with metastatic cancer at the end of life. Design, Setting, and Participants: This retrospective, population-based cross-sectional study used data from the Healthcare Cost and Utilization Project to analyze all-payer, encounter-level information from multiple inpatient centers in the US. All utilization and hospital charge records from national inpatient sample data sets between January 1, 2010, and December 31, 2017 (n = 58 761 097), were screened. The final cohort included 21 335 patients 18 years and older at inpatient admission who had a principal diagnosis of metastatic cancer and died during hospitalization. Data for the current study were analyzed from January 1, 2010, to December 31, 2017. Exposures: Patient demographic characteristics, patient insurance status, hospital location, and hospital teaching status. Main Outcomes and Measures: Receipt of systemic therapy (including chemotherapy and immunotherapy), receipt of invasive mechanical ventilation, emergency department (ED) admission, time from hospital admission to death, and total charges during a terminal hospitalization. Results: Among 21 335 patients with metastatic cancer who had terminal hospitalizations between 2010 and 2017, the median age was 65 years (interquartile range, 56-75 years); 54.0% of patients were female; 0.5% were American Indian, 3.3% were Asian or Pacific Islander, 14.1% were Black, 7.5% were Hispanic, 65.9% were White, and 3.1% were identified as other; 58.2% were insured by Medicare or Medicaid, and 33.2% were privately insured. Overall, 63.2% of patients were admitted from the ED, 4.6% received systemic therapy, and 19.2% received invasive mechanical ventilation during hospitalization. Racial and ethnic minority patients had a higher likelihood of being admitted from the ED (Asian or Pacific Islander patients: odds ratio [OR], 1.43 [95% CI, 1.20-1.72]; P < .001; Black patients: OR, 1.39 [95% CI, 1.27-1.52]; P < .001; and Hispanic patients: OR, 1.45 [95% CI, 1.28-1.64]; P < .001), receiving invasive mechanical ventilation (Black patients: OR, 1.59 [95% CI, 1.44-1.75]; P < .001), and incurring higher total charges (Asian or Pacific Islander patients: OR, 1.35 [95% CI, 1.13-1.60]; P = .001; Black patients: OR, 1.23 [95% CI, 1.13-1.34]; P < .001; and Hispanic patients: OR, 1.50 [95% CI, 1.34-1.69]; P < .001) compared with White patients. Privately insured patients had a lower likelihood of being admitted from the ED (OR, 0.47 [95% CI, 0.44-0.51]; P < .001), receiving invasive mechanical ventilation (OR, 0.75 [95% CI, 0.69-0.82]; P < .001), and incurring higher total charges (OR, 0.64 [95% CI, 0.59-0.68]; P < .001) compared with Medicare and Medicaid beneficiaries. Conclusions and Relevance: In this study, patients with metastatic cancer from racial and ethnic minority groups and those with Medicare or Medicaid coverage were more likely to receive low-value, aggressive interventions at the end of life. Further studies are needed to evaluate the underlying factors associated with disparities at the end of life to implement prospective interventions.

International comparison of spending and utilization at the end of life for hip fracture patients.

OBJECTIVE: To identify and explore differences in spending and utilization of key health services at the end of life among hip fracture patients across seven developed countries. DATA SOURCES: Individual-level claims data from the inpatient and outpatient health care sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC). STUDY DESIGN: We retrospectively analyzed utilization and spending from acute hospital care, emergency department, outpatient primary care and specialty physician visits, and outpatient drugs. Patterns of spending and utilization were compared in the last 30, 90, and 180 days across Australia, Canada, England, Germany, New Zealand, Spain, and the United States. We employed linear regression models to measure age- and sex-specific effects within and across countries. In addition, we analyzed hospital-centricity, that is, the days spent in hospital and site of death. DATA COLLECTION/EXTRACTION METHODS: We identified patients who sustained a hip fracture in 2016 and died within 12 months from date of admission. PRINCIPAL FINDINGS: Resource use, costs, and the proportion of deaths in hospital showed large variability being high in England and Spain, while low in New Zealand. Days in hospital significantly decreased with increasing age in Canada, Germany, Spain, and the United States. Hospital spending near date of death was significantly lower for women in Canada, Germany, and the United States. The age gradient and the sex effect were less pronounced in utilization and spending of emergency care, outpatient care, and drugs. CONCLUSIONS: Across seven countries, we find important variations in end-of-life care for patients who sustained a hip fracture, with some differences explained by sex and age. Our work sheds important insights that may help ongoing health policy discussions on equity, efficiency, and reimbursement in health care systems.

Health expenditures after first hospital admission for heart failure in Nova Scotia, Canada: a retrospective cohort study.

BACKGROUND: Although the frequency of heart failure makes it among the costliest of illnesses, there are scant Canadian data on annual costs of treatment or the costs as the condition advances. Our objective was to estimate mean prevalence- and incidence-based direct medical costs among older adults discharged alive after a first hospital admission for heart failure. METHODS: We conducted a retrospective cohort study using population-based administrative health databases for Nova Scotia. The cohort comprised persons 50 years of age or older with an incident hospital admission for heart failure between 2009 and 2012. We considered the costs (expressed as 2020 Canadian dollars) of hospital admissions, physician visits and, for patients 65 years of age or older, outpatient cardiac medications. We estimated costs for calendar years, longitudinally and in the last 2 years of life. We analyzed costs from the perspective of a third-party public payer. RESULTS: The cohort consisted of 3327 patients (mean age 77.6 yr; 1605 [48.2%] women). Median survival was 2.5 and 2.2 years among men and women, respectively. Annual prevalence-based costs were about $7100. Mean incidence-based costs ranged between $65 000 and $164 000 in the year after diagnosis and decreased by 90% subsequently. Costs were 4 to 7 times higher in the year before death than in the period from 1 to 2 years before death. INTERPRETATION: The direct medical costs of treating patients with heart failure in Nova Scotia displayed a reverse J shape, with costs highest after diagnosis, declining subsequently and then increasing during the final year of life. Strategies designed to improve the quality of care immediately after diagnosis and during more advanced stages of disease might reduce these costs.

Dying with dementia in Medicare Advantage, Accountable Care Organizations, or traditional Medicare.

BACKGROUND/OBJECTIVE: Medicare Advantage (MA) and Accountable Care Organizations (ACOs) operate under incentives to reduce burdensome and costly care at the end of life. We compared end-of-life care for persons with dementia who are in MA, ACOs, or traditional Medicare (TM). DESIGN, SETTING, AND PARTICIPANTS: Retrospective study of decedents with dementia enrolled in MA, attributed to an ACO, or in TM. Decedents had a nursing home stay between 91 and 180 days prior to death, two or more functional impairments, and mild to severe cognitive impairment. MEASUREMENTS: Hospitalization, invasive mechanical ventilation (IMV) use, and in-hospital death in the last 30 days of life reported in Medicare billing. RESULTS: Among 370,094 persons with dementia, 93,801 (25.4%) were in MA (mean age [SD], 86.9 [7.7], 67.6% female), 39,586 (10.7%) were ACO attributed (mean age [SD], 87.2 [7.6], 67.3% female), and 236,707 (63.9%) were in TM (mean age [SD], 87.0 [7.8], 67.6% female). The proportion hospitalized in the last 30 days of life was higher among TM enrollees (27.9%) and those ACO attributed (28.1%) than among MA enrollees (20.5%, p ≤ 0.001). After adjustment for socio-demographics, cognitive and functional impairments, comorbidities, and Hospital Referral Region, adjusted odds of hospitalization in the 30 days prior to death was 0.72 (95% confidence interval [CI] 0.70-0.74) among MA enrollees and 1.05 (95% CI 1.02-1.09) among those attributed to ACOs relative to TM enrollees. Relative to TM, the adjusted odds of death in the hospital were 0.78 (95% CI 0.75-0.81) among MA enrollees and 1.02 (95% CI 0.96-1.08) for ACO participants. Dementia decedents in MA had a lower likelihood of IMV use (adjusted odds ratio 0.80, 95% CI 0.75-0.85) compared to TM. CONCLUSIONS: Among decedents with dementia, MA enrollees but not decedents in ACOs experienced less costly and potentially burdensome care compared with those with TM. Policy changes are needed for ACOs.

Systemic therapy, survival and end-of-life costs for metastatic triple-negative breast cancer: retrospective SEER-Medicare study of women age ≥65 years.

Aim: To analyze therapy for metastatic triple-negative breast cancer (mTNBC), factors contributing to survival and costs. Patients & methods: Using 2010-2016 SEER-Medicare data, we identified women (≥65 years) with mTNBC. Results: Of 302 eligible patients, 152 (50%) received systemic therapy. In multivariable regression analyses, only age <75 years was associated with therapy receipt (odds ratio: 2.91; 95% CI: 1.79-4.74); and only systemic therapy significantly reduced risk of death (hazard ratio: 0.34; 95% CI: 0.26-0.44). Median overall survival was 13.4 (95% CI: 11.3-15.1) vs 3.3 months (95% CI: 2.7-3.9) in therapy vs no-therapy cohorts. Mean per-patient-per-month costs <30 days before end-of-life/follow-up were $14,100 and $15,600 (2019 USD), respectively. Conclusion: Poor outcomes and high costs indicate need for more effective mTNBC therapy.