Costs of cancer care in the USA: a descriptive review

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.

Health Care Contact Days Experienced by Decedents With Advanced GI Cancer

PURPOSE

Frequent visits to health care facilities can be time intensive and all-consuming for people with cancer. We measured health care contact days (days with healthcare contact outside the home) among decedents with advanced GI cancer and examined sources of contact days, their associations with demographic and clinical factors, and their temporal patterns over the course of illness.

METHODS

We conducted a retrospective cohort study using a tumor registry and electronic medical record data for decedents with stage IV GI cancer between 2011 and 2019 in a large health care network in MN. We determined contact days from diagnosis to death using chart review. Using multivariable beta regression adjusted for sociodemographic and clinical characteristics offset by survival, we calculated adjusted estimates of contact days and determined patient-level factors associated with percentage of contact days.

RESULTS

We identified 809 patients eligible for analysis (median [IQR] age at diagnosis, 65 [56-73] years). The median (IQR) overall survival was 175 (56-459) days. Patients spent a median (IQR) of 25.8% (17.4%-39.1%) of these as contact days. Of these days, 83.6% were spent on outpatient visits. In the multivariable analysis, older age, Black race, and never receiving systemic cancer-directed treatment were associated with a higher percentage of contact days. The percentage of contact days was highest in the first month after diagnosis (39.6%) and before death (32.2%), with a more moderate middle phase (U-shaped curve).

CONCLUSION

Decedents with advanced GI cancer spend 1 in 4 days alive with health care contact, despite a median survival of under 6 months. This is even higher immediately postdiagnosis and near death. These findings highlight the need to understand sources of variation, benchmark appropriate care, and deliver more efficient care for this vulnerable population with limited time.

Economic Burden of Cancer for the First Five Years after Cancer Diagnosis in Patients with Human Immunodeficiency Virus in Korea

This study aimed to estimate the medical cost of cancer in the first five years of diagnosis and in the final six months before death in people who developed cancer after human immunodeficiency virus (HIV) infection in Korea. The study utilized the Korea National Health Insurance Service-National Health Information Database (NHIS-NHID). Among 16,671 patients diagnosed with HIV infection from 2004 to 2020 in Korea, we identified 757 patients newly diagnosed with cancer after HIV diagnosis. The medical costs for 60 months after diagnosis and the last six months before death were calculated from 2006 to 2020. The mean annual medical cost due to cancer in HIV-infected people with cancer was higher for acquired immunodeficiency syndrome (AIDS)-defining cancers (48,242 USD) than for non-AIDS-defining cancers (24,338 USD), particularly non-Hodgkin's lymphoma (53,007 USD), for the first year of cancer diagnosis. Approximately 25% of the cost for the first year was disbursed during the first month of cancer diagnosis. From the second year, the mean annual medical cost due to cancer was significantly reduced. The total medical cost was higher for non-AIDS-defining cancers, reflecting their higher incidence rates despite lower mean medical costs. The mean monthly total medical cost per HIV-infected person who died after cancer diagnosis increased closer to the time of death. The estimated burden of medical costs in patients with HIV in the present study may be an important index for defining healthcare policies in HIV patients in whom the cancer-related burden is expected to increase.

Lifetime direct healthcare costs of treating colorectal cancer: a systematic review

Colorectal cancer is a global public health issue and imposes a significant economic burden on populations and healthcare systems. This paper systematically reviews the literature to estimate the direct costs of colorectal cancer incurred during different phases of treatment (initial, continuing and end of life). MEDLINE, EMBASE, Web of science, Evidence-based medicine reviews: National health service economic evaluation database guide, econlit and grey literature from the 1st of January 2000 to the 1st of February 2020. The methodological quality of the included studies was assessed using the Evers' Consensus on health economic criteria checklist. In total, 39,489 records were retrieved, and 17 studies were included. Costs by phase of treatment varied due to heterogeneity. However, studies that examined average costs for each phase of treatment showed a V-shaped distribution where the initial and end of life phases contribute the most and the continuing phase the least. The initial phase ranged from $7,893 to $60,289; the continuing annual phase ranged from $2,323 to $15,744; and the end of life phase ranged from $15,916 to $99,687. Studies that provided the total cost of each phase conversely showed that the continuing phase was the highest contributor to the cost of treating CRC. This study estimates the cost of the contemporary management of colorectal cancer despite the methodological heterogeneity. These costs place a heavy burden on healthcare providers, patients and their families. Identifying these costs can impact health care budgets and guide policymakers in making informed decisions for the future.

Health Care Costs Attributable to Prostate Cancer in British Columbia, Canada: A Population-Based Cohort Study

We aimed to estimate the total health care costs attributable to prostate cancer (PCa) during care phases by age, cancer stage, tumor grade, and primary treatment in the first year in British Columbia (BC), Canada. Using linked administrative health data, we followed a cohort of men aged ≥ 50 years at diagnosis with PCa between 2010 and 2017 (Cohort 1) from the diagnosis date until the date of death, the last date of observation, or 31 December 2019. Patients who died from PCa after 1 January 2010, were selected for Cohort 2. PCa attributable costs were estimated by comparing costs in patients to matched controls. Cohort 1 (n = 22,672) had a mean age of 69.9 years (SD = 8.9) and a median follow-up time of 5.2 years. Cohort 2 included 6942 patients. Mean PCa attributable costs were the highest during the first year after diagnosis ($14,307.9 [95% CI: $13,970.0, $14,645.8]) and the year before death ($9959.7 [$8738.8, $11,181.0]). Primary treatment with radiation therapy had significantly higher costs each year after diagnosis than a radical prostatectomy or other surgeries in advanced-stage PCa. Androgen deprivation therapy (and/or chemotherapy) had the highest cost for high-grade and early-stage cancer during the three years after diagnosis. No treatment group had the lowest cost. Updated cost estimates could inform economic evaluations and decision-making.

Location of death and hospice use in children with cancer varies by type of health insurance

BACKGROUND

Disparities in end-of-life (EOL) care for children with cancer remain understudied. We addressed this gap by examining patterns of EOL care, with a focus on location of death and hospice utilization.

METHODS

We used MarketScan - a nationally representative dataset with Medicaid and commercial claims to conduct a retrospective observational study of children with cancer who died between 2011 and 2017 at age ≤21 years. We examined rates of (a) home death, (b) hospice utilization, (c) and medically intense interventions in the last 30 days (e.g., intubation).

RESULTS

Of the 1492 children in the cohort, 44% had Medicaid and 56% commercial insurance; 71% carried a solid tumor diagnosis, and 37% were between the ages of 15 and 21 years at the time of death. Forty percent died at home; children with Medicaid were less likely to die at home (relative risk [RR] = 0.82, 95% confidence interval [CI]: 0.73-0.92; reference: commercial). Forty-five percent enrolled in hospice, for a median of 2 days. Hospice enrollment rates did not vary with insurance. However, children with Medicaid spent less time enrolled (incidence rate ratio [IRR] = 0.22, 95% CI: 0.17-0.27). Among children with Medicaid, Black children were less likely to die at home (RR = 0.69, 95% CI: 0.52-0.92) and enroll on hospice (RR = 0.71, 95% CI: 0.55-0.91) than non-Hispanic White children. Medically intense interventions did not vary with insurance or race.

CONCLUSION

Only 40% of children with cancer die at home, and the duration of hospice enrollment is short. EOL care varies significantly with insurance. It is imperative that we determine if these patterns and disparities represent EOL preferences, provider biases, or differences in quality or availability of hospice.

Medical costs of Japanese lung cancer patients during end-of-life care

OBJECTIVE

The medical costs associated with cancer treatment have increased rapidly in Japan; however, little data exist on actual costs, especially for end-of-life care. Therefore, this study aimed to examine the medical costs of lung cancer patients during the last 3 months before death and to compare the costs with those of initial anticancer treatment.

METHODS

We retrospectively evaluated all patients who died from lung cancer at the Japanese Red Cross Medical Center between 1 January 2008 and 31 August 2019. Patients were classified into three cohorts (2008-2011, 2012-2015 and 2016-2019) according to the year of death; the medical costs were evaluated for each cohort. Costs were then divided into outpatient and inpatient costs and calculated per month.

RESULTS

Seventy-nine small cell lung cancer and 213 non-small cell lung cancer patients were included. For small cell lung cancer and non-small cell lung cancer patients, most end-of-life medical costs were inpatient costs across all cohorts. The median monthly medical costs for the last 3 months among both small cell lung cancer and non-small cell lung cancer patients did not differ significantly among the cohorts, but the mean monthly costs for non-small cell lung cancer tended to increase. The monthly medical costs for the last 3 months were significantly higher than those for the first year in SCLC (P = 0.013) and non-small cell lung cancer (P < 0.001) patients and those for the first 3 months in non-small cell lung cancer patients (P = 0.005).

CONCLUSIONS

The medical costs during the end-of-life period for lung cancer were high and surpassed those for initial treatment.

To ban or not to ban tanning bed use for minors: A cost-effectiveness analysis from multiple US perspectives for invasive melanoma

BACKGROUND

Tanning bed use is common among US adolescents, but is associated with increased melanoma risk. The decision to ban tanning bed use by adolescents should be made in consideration of the potential health benefits and costs.

METHODS

The US population aged 14 to 17 years was modeled by microsimulation, which compared ban versus no ban strategies. Lifetime quality-adjusted life years (QALYs) and costs were estimated from a health care sector perspective and two societal perspectives: with and without the costs of policy enforcement and the economic losses of the indoor-tanning bed industry.

RESULTS

Full adherence to the ban prevented 15,102 melanoma cases and 3299 recurrences among 17.1 million minors, saving $61in formal and informal health care costs per minor and providing an increase of 0.0002 QALYs. Despite the intervention costs of the ban and the economic losses to the indoor-tanning industry, banning was still the dominant strategy, with a savings of $12 per minor and $205.4 million among 17.1 million minors. Findings were robust against varying inspection costs and ban compliance, but were sensitive to lower excess risk of melanoma with early exposure to tanning beds.

CONCLUSIONS

A ban on tanning beds for minors potentially lowers costs and increases cost effectiveness. Even after accounting for the costs of implementing a ban, it may be considered cost effective. Even after accounting for the costs of implementing a ban and economic losses in the indoor-tanning industry, a tanning bed ban for US minors may be considered cost effective. A ban has the potential to reduce the number of melanoma cases while decreasing health care costs.

LAY SUMMARY

Previous meta-analyses have linked tanning bed use with an increased risk of melanoma, particularly with initial use at a young age. Yet, it remains unclear whether a ban of adolescents would be cost effective. Overall, a ban has the potential to reduce the number of melanoma cases while promoting a decrease in health care costs. Even after accounting for the costs of implementing a ban and the economic losses incurred by the indoor-tanning industry, a ban would be cost effective.

Advance directives and real-world end-of-life clinical practice: a case-control study

BACKGROUND

Advance directives (ADs) have been legally regulated to promote autonomy over health decisions among patients who later lose decision-making capacity.

AIMS AND OBJECTIVES

To analyse the differences in clinical practice at end of life among people who had completed an AD versus those who had not.

METHODS

Retrospective case-control study (1:2), matched by age, sex, year, cause of death and region of residence. The data sources used were the ADs registry, central registry of insured persons, hospital discharge, pharmacy and billing databases, and the mortality registry. Conditional logistic regression models (crude and adjusted by socioeconomic level) were performed. The outcome variable was the frequency of medical procedures performed during the last year of life.

RESULTS

1723 people with ADs who died in Catalonia during 2014-2015 were matched with 3446 dead controls (without ADs). Thoracentesis was the procedure with the greatest reduction among women with an AD (adjusted OR (ORadj) 0.54, 95% CI: 0.32 to 0.89) in conjunction with artificial nutrition (ORadj 0.54, 95% CI: 0.31 to 0.95). Intubation was the procedure with the greatest reduction (ORadj 0.56, 95% CI: 0.33 to 0.94) among men. Slight differences could be seen in the case of cancer deaths. There were no relevant differences when adjusting by socioeconomic level.

CONCLUSIONS

ADs are an effective tool to adjust the realisation of some procedures at end of life. These results can help better plan for the treatment of patients with ADs, as well as increase the awareness among clinical personnel, families and the general population.

End-of-life cost for lung cancer patients in Greece: a hospital-based retrospective study

Objective: The aim of the present study was to estimate the cost of treating patients with lung cancer at their end-of-life (EOL) phase of care in Greece. Materials & methods: A hospital-based retrospective study was conducted in the Oncology Unit of 'Sotiria' Hospital, in Athens, Greece. All lung cancer patients who died between 1 January 2015 and 31 December 2018 with at least 6 months follow-up were enrolled in the study. Healthcare resource utilization data, including inpatient and outpatient ones, during the last 6 months before death was extracted from a registry kept in the unit. This data were combined with the corresponding local unit costs to calculate the 6, 3 and 1-month EOL cost in €2019 values. Results: A total of 122 patients met the inclusion criteria. The mean (standard deviation) age at diagnosis was 67.8 (8.9) years with 78.7% of patients being male and 55.0% diagnosed at stage IV. About 52.5% of patients had been diagnosed with adenocarcinoma, 28.7% with squamous non-small-cell lung cancer types and 18.9% with small-cell-lung cancer. The median overall survival of these patients was 10.8 months. During the EOL periods, the mean cost/patient in the last 6, 3 and 1 month were €7665, €3351 and €1009, respectively. Pharmaceutical cost was the key driver of the total cost (75% of the total 6-month) followed by radiation therapy (16.2%). The median EOL 6-month cost was marginally statistically significantly higher among patients with adenocarcinoma (€9031) compared with squamous (€6606) and to small-cell-lung cancer (€5474). Conclusion: The findings of the present study indicate that lung cancer treatment incurs high costs in Greece, mainly attributed to pharmaceutical expenses, even at the EOL phase.

Phase-specific and lifetime economic burden of cervical cancer and endometrial cancer in a commercially insured United States population

AIM

To estimate the incremental phase-specific and lifetime economic burden among newly diagnosed cervical and endometrial cancer patients vs. non-cancer controls.

METHODS

Cervical and endometrial cancer patients newly diagnosed between January 2015 and June 2018 were identified in the Optum Clinformatics DataMart database. The index date was the date of the first diagnosis for cancer cases and the first claim date after 12 months of continuous enrollment for non-cancer controls. Patients were followed until death/loss of enrollment/end of data availability. Per patient per month (PPPM) costs attributable to cancer were calculated for four phases: pre-diagnosis (3 months before diagnosis), initial (6 months post-diagnosis), terminal (6 months pre-death), and continuation (remaining time between initial and terminal phases). Survival data were obtained to determine the monthly proportion of patients in each phase. Total survival adjusted monthly costs were obtained by multiplying the proportion of patients in each phase by the total cost incurred during that month. Phase-specific and lifetime incremental costs of cervical and endometrial cancer were obtained using generalized linear models.

RESULTS

The analytic cohort included 1,002 cervical cancer patients and 4,005 matched non-cancer controls and 5,003 endometrial cancer patients matched with 19,999 non-cancer controls. Mean adjusted incremental PPPM lifetime costs (95% CI) for cervical cancer and endometrial cancer cases were $5,910 ($5,373-$6,446) and $3,475 ($3,259-$3,691), respectively. Incremental total PPPM phase-specific costs attributable to cervical and endometrial cancer were pre-diagnosis (cervical: $1,057; endometrial: $3,315), initial ($12,084; $8,618), continuation ($2,732; $1,147), and terminal ($2,702; $5,442). Incremental costs were significantly higher for cancer patients vs. non-cancer controls across patient lifetime and all phases of care (except terminal phase costs for cervical cancer). Outpatient costs were the major driver of costs across all post-diagnosis phases.

CONCLUSION

This study highlights the cost burden associated with cervical/endometrial cancer and cost variation by phases of care.

Trends in End-of-Life Resource Utilization and Costs among Prostate Cancer Patients from 2006 to 2015: A Nationwide Population-Based Study

Purpose

The purpose of this study was to evaluate end-of-life resource utilization and costs for prostate cancer patients during the last year of life in Korea.

Materials and Methods

The study used the National Health Information Database (NHIS-2017-4-031) of the Korean National Health Insurance Service. Healthcare claim data for the years 2002 through 2015 were collected from the Korean National Health Insurance System. Among 83,173 prostate cancer patients, we enrolled 18,419 after excluding 1,082 who never claimed for the last year of life.

Results

From 2006 to 2015, there was a 3.2-fold increase the total number of prostate cancer decedents. The average cost of care during the last year of life increased over the 10-year period, from 14,420,000 Korean won to 20,300,000 Korean won, regardless of survival time. The cost of major treatments and medications, other than analgesics, was relatively high. Radiologic tests, opioids, pain control, and rehabilitation costs were relatively low. Multiple regression analysis identified age and living in rural area as negatively associated with prostate cancer care costs, whereas income level and a higher number of comorbidities were positively associated.

Conclusions

Expenditure of prostate cancer care during the last year of life varied according to patient characteristics. Average costs increased every year. However, the results suggest underutilization of support services, likely due to lack of alternative accommodation for terminal prostate cancer patients. Further examination of patterns of utilization of healthcare resources will allow policymakers to take a better approach to reducing the burden of prostate cancer care.

Cost-Efficiency of Breast Cancer Care in the US Military Health System: An Economic Evaluation in Direct and Purchased Care

INTRODUCTION

With the rising costs of cancer care, it is critical to evaluate the overall cost-efficiency of care in real-world settings. In the United States, breast cancer accounts for the largest portion of cancer care spending due to high incidence and prevalence. The purpose of this study is to assess the relationship between breast cancer costs in the first 6 months after diagnosis and clinical outcomes by care source (direct or purchased) in the universal-access US Military Health System (MHS).

MATERIALS AND METHODS

We conducted a retrospective analysis of data from the Department of Defense Central Cancer Registry and MHS Data Repository administrative records. The institutional review boards of the Walter Reed National Military Medical Center and the Defense Health Agency reviewed and approved the data linkage. We used the linked data to identify women aged 40-64 who were diagnosed with pathologically-confirmed breast cancer between 2003 and 2007 with at least 1 year of follow-up through December 31, 2008. We identified cancer treatment from administrative data using relevant medical procedure and billing codes and extracted costs paid by the MHS for each claim. Multivariable Cox proportional hazards models estimated hazards ratios (HR) and 95% confidence intervals (CI) for recurrence or all-cause death as a function of breast cancer cost in tertiles.

RESULTS

The median cost per patient (n = 2,490) for cancer care was $16,741 (interquartile range $9,268, $28,742) in the first 6 months after diagnosis. In direct care, women in the highest cost tertile had a lower risk for clinical outcomes compared to women in the lowest cost tertile (HR 0.58, 95% CI 0.35, 0.96). When outcomes were evaluated separately, there was a statistically significant inverse association between higher cost and risk of death (p-trend = 0.025) for women receiving direct care. These associations were not observed among women using purchased care or both care sources.

CONCLUSIONS

In the MHS, higher breast cancer costs in the first 6 months after diagnosis were associated with lower risk for clinical outcomes in direct care, but not in purchased care. Organizational, institutional, and provider-level factors may contribute to the observed differences by care source. Replication of our findings in breast and other tumor sites may have implications for informing cancer care financing and value-based reimbursement policy.

Cost-effectiveness of real-world administration of chemotherapy and add-on Viscum album L. therapy compared to chemotherapy in the treatment of stage IV NSCLC patients

Background

For stage IV lung cancer patients receiving add-on Viscum album L. (VA) treatment an improved overall survival was detected. Information regarding cost-effectiveness (CE) for comparisons between chemotherapy (CTx) and CTx plus additive VA in stage IV lung cancer treatment is limited. The present study assessed the costs and cost-effectiveness of CTx plus VA (V) compared to CTx alone (C) for stage IV non-small cell lung cancer (NSCLC) patients treatment in a hospital in Germany.

Methods

In the observational real-world data study, data from the Network Oncology clinical registry were utilized. Enrolled stage IV lung cancer patients received the respective therapy (C or V) in a certified German Cancer Center. Cost and cost-effectiveness analyses from the hospital’s perspective were investigated on the basis of overall survival (OS) and routine financial controlling data. In addition, the incremental cost-effectiveness ratio (ICER) was calculated. The primary result of the analysis was tested for robustness in a bootstrap-based sensitivity analysis.

Results

118 patients (C: n = 86, V: n = 32) were included in the analysis, mean age 63.8 years, the proportion of male patients was 55.1%. Adjusted hospital’s total mean costs for patients from the C and V group were €16,289, 95%CI: 13,834€-18,744€ (over an adjusted mean OS time of 13.4 months) and €17,992, 95%CI: 13,658–22,326 (over an adjusted mean OS time of 19.1 months), respectively. The costs per additional OS year gained (ICER) with the V-therapy compared to C therapy were €3,586.

Conclusion

The findings of the present study suggest that the combined use of chemotherapy and VA was clinically effective and comparably cost-effective to chemotherapy alone in our analysed patient sample from the hospital’s perspective. Further randomized and prospective cost-effectiveness studies are necessary to complement our findings.

TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model

Deep learning’s automatic feature extraction has proven its superior performance over traditional fingerprint-based features in the implementation of virtual screening models. However, these models face multiple challenges in the field of early drug discovery, such as over-training and generalization to unseen data, due to the inherently unbalanced and small datasets. In this work, the TranScreen pipeline is proposed, which utilizes transfer learning and a collection of weight initializations to overcome these challenges. An amount of 182 graph convolutional neural networks are trained on molecular source datasets and the learned knowledge is transferred to the target task for fine-tuning. The target task of p53-based bioactivity prediction, an important factor for anti-cancer discovery, is chosen to showcase the capability of the pipeline. Having trained a collection of source models, three different approaches are implemented to compare and rank them for a given task before fine-tuning. The results show improvement in performance of the model in multiple cases, with the best model increasing the area under receiver operating curve ROC-AUC from 0.75 to 0.91 and the recall from 0.25 to 1. This improvement is vital for practical virtual screening via lowering the false negatives and demonstrates the potential of transfer learning. The code and pre-trained models are made accessible online.

Impact of Length of Hospice on Spending and Utilization Among Medicare Beneficiaries With Lung Cancer

OBJECTIVES

To estimate differences in spending and utilization between hospice users and non-users with lung cancer by length of hospice enrollment.

STUDY DESIGN

Retrospective analysis using 2009-2013 Medicare claims.

METHODS

The study sample was a 10% random sample of Medicare fee-for-service beneficiaries with lung cancer who died between 2010 and 2013. We identified different categories of hospice users (hospice enrollment for 1-7 days, 8-14 days, 15-30 days, 31-60 days, 61 days - 6 months) and non-users. We used propensity score matching to match users in each enrollment category with non-users. The outcomes were: a) total Medicare spending, b) number of hospitalizations, c) number of emergency department (ED) visits, d) number of physician-administered chemotherapy claims, and e) number of radiation therapy sessions. Regression analysis was used to compare outcomes between users and non-users by enrollment period.

RESULTS

Hospice users had significantly lower spending, fewer hospitalizations, and fewer ED visits than non-users across all categories of hospice enrollment.  Large savings occurred when patients stayed in hospice for at least one month (US$16,566 for those enrolled 61 days - 6 months; US$16,409 for those enrolled 31-60 days). Significant reduction in use of outpatient services including chemotherapy and radiation therapy was observed among patients using hospice for at least 1 month.

CONCLUSIONS

Hospice led to cost savings by reducing utilization of aggressive care towards end-of-life among lung cancer patients. While cost savings were realized even when hospice is utilized for a short duration, large savings occurred when hospice is used for at least 1 month.

The long-term effects of cancer survivorship on household assets

BACKGROUND

Less is known about the impact of cancer on household assets and household financial portfolio during which cancer survivors face higher mortality risk. Economic theory predicts that cancer survivors would deplete their wealth in such a way that meets immediate financial needs for treatment and that hedges the risk of anticipated medical expenses associated with recurrence. Building upon this prediction, we examine long-term changes in household assets in response to cancer diagnosis among middle-aged and elderly Americans (age ≥ 50).

RESULTS

Using the 2000-2014 waves of the Health and Retirement Study, we estimated the household fixed effects regression that regresses household assets on time elapsed since cancer diagnosis (≤ 2 years, > 2 but ≤4 years, > 4 but ≤6 years, and > 6 but ≤8 years). Regression estimates were adjusted for demographic characteristics, general health condition, employment outcomes, and household economic attributes. Household assets were measured by total net worth as well as the amount of savings held in each asset category. The loss of household assets attributable to cancer was estimated to be $125,832 in 2015 dollars per household with a cancer patient. This change came from statistically significant reductions in investment assets, miscellaneous savings, real estate equity, and business equity, and increases in unsecured debt. We also found 17.2-28.0% increases in cash and cash-equivalent assets from + 2 years since diagnosis through the rest of the study periods. The accumulation of cash was observed for both the well-insured group (multiple coverages) and those with limited insurance (single coverage).

CONCLUSIONS

The results showed evidence of both asset depletion and precautionary accumulation of liquid assets among cancer survivors, which reduces risk exposure of household financial portfolio. Our findings highlighted that household asset is an important source of liquidity to finance cancer care and to absorb the expected expenditure risk associated with cancer recurrence. We also showed that health insurance provides limited coverage of health risks associated with cancer.

Patterns of Care and Costs for Older Patients With Colorectal Cancer at the End of Life: Descriptive Study of the United States and Canada

PURPOSE

End-of-life (EOL) cancer care is costly, with challenges regarding intensity and place of care. We described EOL care and costs for patients with colorectal cancer (CRC) in the United States and the province of Ontario, Canada, to inform better care delivery.

METHODS

Patients diagnosed with CRC from 2007 to 2013, who died of any cancer from 2007 to 2013 at age ≥ 66 years, were selected from the US SEER cancer registries linked to Medicare claims (n = 16,565) and the Ontario Cancer Registry linked to administrative health data (n = 6,587). We estimated total and resource-specific costs (2015 US dollars) from public payer perspectives over the last 360 days of life by 30-day periods, by stage at diagnosis (0-II, III, IV).

RESULTS

In all months, especially 30 days before death, higher percentages of SEER-Medicare than Ontario patients received chemotherapy (15.7% v 8.0%), and imaging tests (39.4% v 31.1%). A higher percentage of Ontario patients were hospitalized (62.5% v 51.0%), but 43.2% of hospitalized SEER-Medicare patients had intensive care unit (ICU) admissions versus 17.9% of hospitalized Ontario patients. Cost differences between cohorts were greater for patients with stage IV disease. In the last 30 days, mean total costs for patients with stage IV disease were $15,881 (SEER-Medicare) and $12,034 (Ontario) versus $19,354 and $17,312 for stage 0-II. Hospitalization costs were higher for SEER-Medicare patients ($11,180 v $9,434), with lower daily hospital costs in Ontario ($1,067 v $2,004).

CONCLUSION

These findings suggest opportunities for reducing chemotherapy and ICU use in the United States and hospitalizations in Ontario.

Impact of Hospice on Spending and Utilization Among Patients With Lung Cancer in Medicare

OBJECTIVES

To compare patterns and understand drivers of spending and utilization by month in the last 6 months of life between patients with lung cancer who used hospice versus those who did not.

STUDY DESIGN

Retrospective cohort analysis using 2009 to 2013 Medicare claims.

METHODS

We used a 10% random sample of Medicare fee-for-service beneficiaries with lung cancer who died between 2010 and 2013 (43 789 beneficiaries). Patients were assigned to 2 groups depending on whether they used hospice care in the last 6 months of life. The following outcomes were constructed by month: (1) all-cause Medicare spending, (2) indicator of hospitalization, (3) indicator of emergency department (ED) visit, (4) number of part B chemotherapy claims, and (5) number of radiation therapy sessions. We used a combination of propensity score matching and regression analysis to compare outcomes between the 2 groups.

RESULTS

Patients who used hospice had significantly lower spending in the last month of life compared to nonusers (US$16 907 vs US$26 906, P < .00). The spending differences in the last month of life between the 2 groups were largely driven by lower likelihood of hospitalization (54% vs 80%, P < .01) and ED visits (15% vs 22%, P < .01) and fewer chemotherapy (0.12 vs 0.32, P < .01) and radiation therapy sessions (0.80 vs 1.26, P < .01). During the other months in the 6-month period, spending was similar between the 2 groups.

CONCLUSIONS

Timely hospice enrollment of patients with lung cancer-the group suffering from high morbidity and mortality among patients with cancer-may lead to significant cost savings.

Prevalence of Psychotropic Polypharmacy and Associated Healthcare Resource Utilization during Initial Phase of Care among Adults with Cancer in USA

BACKGROUND

The use of psychotropic medications is not uncommon among patients with newly diagnosed cancer. However, the impact of psychotropic polypharmacy on healthcare utilization during the initial phase of cancer care is largely unknown.

METHODS

We used a claims database to identify adults with incident breast, prostate, lung, and colorectal cancers diagnosed during 2011-12. Psychotropic polypharmacy was defined as concurrent use of two or more psychotropic medication classes for at least 90 days. A multivariable logistic regression was performed to identify significant predictors of psychotropic polypharmacy. Multivariable Poisson and negative binomial regressions were used to assess the associations between psychotropic polypharmacy and healthcare utilization.

RESULTS

Among 5604 patients included in the study, 52.6% had breast cancer, 30.6% had prostate cancer, 11.4% had colorectal cancer, and 5.5% had lung cancer. During the year following incident cancer diagnosis, psychotropic polypharmacy was reported in 7.4% of patients, with the highest prevalence among patients with lung cancer (14.4%). Compared with patients without psychotropic polypharmacy during the initial phase of care, patients with newly diagnosed cancer with psychotropic polypharmacy had a 30% higher rate of physician office visits, an 18% higher rate of hospitalization, and a 30% higher rate of outpatient visits. The rate of emergency room visits was similar between the two groups.

CONCLUSION

Psychotropic polypharmacy during the initial phase of cancer care was associated with significantly increased healthcare resource utilization, and the proportion of patients receiving psychotropic polypharmacy differed by type of cancer.

IMPACT

Findings emphasize the importance of evidence-based psychotropic prescribing and close surveillance of events causing increased healthcare utilization among patients with cancer receiving psychotropic polypharmacy.

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.

Healthcare Utilization and Costs During the Initial Phase of Care Among Elderly Women With Breast Cancer

Background: Understanding the patterns of healthcare utilization and costs during the initial phase of care (12 months after breast cancer [BC] diagnosis) in older women (aged ≥65 years) is crucial in the allocation of Medicare resources. The objective of this study was to determine healthcare utilization and costs during the initial phase of care in older, female, Medicare fee-for-service beneficiaries diagnosed with BC, and to determine the factors associated with higher costs. Methods: A retrospective observational study using the SEER-Medicare linked database was conducted in 69,307 women aged ≥66 years diagnosed with primary incident BC in 2003-2009 to determine healthcare utilization, average costs, and costs for specific services during the initial phase of care. Generalized linear model regression was conducted to identify the factors associated with higher costs in a multivariate framework. Results: A total of 96% of women were treated with surgery during the initial phase of BC care, whereas 21% and 54% underwent chemotherapy and radiotherapy, respectively. Costs during the initial phase of care totalled $28,075 in 2012 USD, comprising $13,344 for physician services and $7,456 for outpatient services. Factors associated with higher costs during the initial phase of care were younger age (66-69 years), African American race, higher household income, advanced stages of BC, initial BC treatment, higher number of primary care physician visits, and presence of comorbidities and/or a mental condition. Conclusions: The economic burden of BC is substantial during the initial phase of care. Physician and outpatient services accounted for the highest proportion of costs. Predisposing factors, need-related factors, healthcare use, and external environmental healthcare factors significantly predicted costs during the initial phase of care.

Disparities in the Intensity of End-of-Life Care for Children With Cancer

BACKGROUND

Many adult patients with cancer who know they are dying choose less intense care; additionally, high-intensity care is associated with worse caregiver outcomes. Little is known about intensity of end-of-life care in children with cancer.

METHODS

By using the California Office of Statewide Health Planning and Development administrative database, we performed a population-based analysis of patients with cancer aged 0 to 21 who died between 2000 and 2011. Rates of and sociodemographic and clinical factors associated with previously-defined end-of-life intensity indicators were determined. The intensity indicators included an intense medical intervention (cardiopulmonary resuscitation, intubation, ICU admission, or hemodialysis) within 30 days of death, intravenous chemotherapy within 14 days of death, and hospital death.

RESULTS

The 3732 patients were 34% non-Hispanic white, and 41% had hematologic malignancies. The most prevalent intensity indicators were hospital death (63%) and ICU admission (20%). Sixty-five percent had ≥1 intensity indicator, 23% ≥2, and 22% ≥1 intense medical intervention. There was a bimodal association between age and intensity: ages <5 years and 15 to 21 years was associated with intense care. Patients with hematologic malignancies were more likely to have high-intensity end-of-life care, as were patients from underrepresented minorities, those who lived closer to the hospital, those who received care at a nonspecialty center (neither Children's Oncology Group nor National Cancer Institute Designated Cancer Center), and those receiving care after 2008.

CONCLUSIONS

Nearly two-thirds of children who died of cancer experienced intense end-of-life care. Further research needs to determine if these rates and disparities are consistent with patient and/or family goals.

Higher out-of-pocket expenses for tyrosine kinase-inhibitor therapy is associated with worse health-related quality-of-life in persons with chronic myeloid leukemia

PURPOSE

To explore health-related quality-of-life (HRQoL) profiles and identify socio-demographic and clinical variables associated with HRQoL in persons with chronic myeloid leukemia (CML) receiving tyrosine kinase inhibitors (TKIs).

METHODS

A cross-sectional questionnaire was distributed to adults with chronic-phase CML receiving tyrosine kinase-inhibitor (TKI) therapy >3 months in complete cytogenetic response (CCyR). Respondents were anonymous. SF-36 Health Survey was used to measure HRQoL.

RESULTS

Data from 828 respondents were analyzable. 524 (63%) were male. Median age was 42 years (range 18-88 years). 648 (78%) were receiving imatinib. Median TKI-therapy duration was 36 months (range 3-178 months). 638 (77%) paid some or all of their TKI costs. Annual out-of-pocket expenses >$4600 USD was associated with lower physical component summary (PCS; -2.8 to -3.8; P = 0.0081 and 0.0009) and mental component summary (MCS; -2.1 to -4.3; P = 0.0394 and 0.0080) in multivariate analyses. Other variables significantly associated with a lower PCS and/or MCS included: (1) female sex; (2) increasing age; (3) education level < bachelor degree; (4) co-morbidity(ies); and (5) generic drug use. TKI-therapy duration 3-5 years was associated with higher PCS and MCS.

CONCLUSIONS

Higher out-of-pocket expense for TKI therapy is significantly associated with worse HRQoL in persons with chronic-phase CML in CCyR receiving TKI therapy. These data indicate the importance of drug cost and health insurance policies on people's HRQoL.

End-of-Life Intensity for Adolescents and Young Adults With Cancer: A Californian Population-Based Study That Shows Disparities

PURPOSE

Cancer is the leading cause of nonaccidental death among adolescents and young adults (AYAs). High-intensity end-of-life care is expensive and may not be consistent with patient goals. However, the intensity of end-of-life care for AYA decedents with cancer-especially the effect of care received at specialty versus nonspecialty centers-remains understudied.

METHODS

We conducted a retrospective, population-based analysis with the California administrative discharge database that is linked to death certificates. The cohort included Californians age 15 to 39 years who died between 2000 and 2011 with cancer. Intense end-of-life interventions included readmission, admission to an intensive care unit, intubation in the last month of life, and in-hospital death. Specialty centers were defined as Children's Oncology Group centers and National Cancer Institute-designated comprehensive cancer centers.

RESULTS

Of the 12,938 AYA cancer decedents, 59% received at least one intense end-of-life care intervention, and 30% received two or more. Patients treated at nonspecialty centers were more likely than those at specialty-care centers to receive two or more intense interventions (odds ratio [OR], 1.46; 95% CI, 1.32 to 1.62). Sociodemographic and clinical factors associated with two or more intense interventions included minority race/ethnicity (Black [OR, 1.35, 95% CI, 1.17 to 1.56]; Hispanic [OR, 1.24; 95% CI, 1.12 to 1.36]; non-Hispanic white: reference), younger age (15 to 21 years [OR, 1.36; 95% CI, 1.19 to 1.56; 22 to 29 years [OR,1.26; 95% CI,1.14 to 1.39]; ≥ 30 years: reference), and hematologic malignancies (OR, 1.53; 95% CI, 1.41 to 1.66; solid tumors: reference).

CONCLUSION

Thirty percent of AYA cancer decedents received two or more high-intensity end-of-life interventions. In addition to sociodemographic and clinical characteristics, hospitalization in a nonspecialty center was associated with high-intensity end-of-life care. Additional research is needed to determine if these disparities are consistent with patient preference.

Medicare Spending for Breast, Prostate, Lung, and Colorectal Cancer Patients in the Year of Diagnosis and Year of Death

OBJECTIVE

To characterize spending patterns for Medicare patients with incident breast, prostate, lung, and colorectal cancer.

DATA SOURCES/STUDY SETTING/STUDY DESIGN

2007-2012 data from the Surveillance, Epidemiology, and End Results Program linked with Medicare fee-for-service claims.

DATA COLLECTION/EXTRACTION METHODS

We calculate per-patient monthly and yearly mean and median expenditures, by cancer type, stage at diagnosis, and spending category, over the years of diagnosis and death.

PRINCIPAL FINDINGS

Over the year of diagnosis, mean spending was $35,849, $26,295, $55,597, and $63,063 for breast, prostate, lung, and colorectal cancer, respectively. Over the year of death, spending was similar across different cancer types and stage at diagnosis.

CONCLUSIONS

Characterization of Medicare spending according to clinically meaningful categories may assist development of oncology alternative payment models and cost-effectiveness models.

Health care use and costs at the end of life: a comparison of elderly Australian decedents with and without a cancer history

BACKGROUND

There is limited population-level research on end-of-life care in Australia that considers health care use and costs across hospital and community sectors. The aim of this study was to quantify health care use and costs in the last 6 months of life in a cohort of elderly Australian decedents and to examine the factors associated with end-of-life resource use and costs.

METHODS

A retrospective cohort study using routinely collected health data from Australian Government Department of Veterans' Affairs clients. The study included two cohorts of elderly Australians who died between 2005 and 2009; one cohort with a recorded cancer diagnosis and a comparison cohort with no evidence of a cancer history. We examined hospitalisations, emergency department (ED) visits, prescription drugs, clinician visits, pathology, and procedures and associated costs in the last 6 months of life. We used negative binominal regression to explore factors associated with health service use and costs.

RESULTS

The cancer cohort had significantly higher rates of health service use and 27% higher total health care costs than the comparison cohort; in both cohorts, costs were driven primarily by hospitalisations. Older age was associated with lower costs and those who died in residential aged care incurred half the costs of those who died in hospital.

CONCLUSIONS

The results suggest differences in end-of-life care pathways dependent on patient factors, with younger, community-dwelling patients and those with a history of cancer incurring significantly greater costs. There is a need to examine whether the investment in end-of-life care meets patient and societal needs.

Urine circulating-tumor DNA (ctDNA) detection of acquired EGFR T790M mutation in non-small-cell lung cancer: An outcomes and total cost-of-care analysis

OBJECTIVES

Third-generation tyrosine kinase inhibitors (TKIs) have proven effective in patients with the acquired EGFR T790M resistance mutation who progress on prior EGFR TKI therapy. Median progression-free survival (PFS) on a 3rd-gen TKI was 9-10 months for T790M+ patients compared to 2.8 months for T790M- patients. PFS is similar regardless of the specimen used to assess T790M, such as tissue, plasma, or urine ctDNA. This study aimed to assess the total cost of care of a urine-testing strategy (UTS) versus a tissue-testing strategy (TTS) for T790M detection, in patients with EGFR-mutation positive lung adenocarcinoma and progression on prior TKI therapy.

MATERIALS AND METHODS

Long-term outcomes and economic implications were assessed from a US payer perspective. Endpoints were PFS, overall survival (OS), medical resource use and related costs.

DATA SOURCES

We included published randomized drug trials and Medicare fee schedules. A state-transition analysis and Markov model tracked patients from stable disease to progression and death. Univariate and multivariate sensitivity analyses were performed to assess the robustness of findings and identify factors that most influenced outcomes and costs.

RESULTS

UTS increased the rate of detection of patients with T790M mutation eligible for treatment with 3rd generation TKI by 7% compared with TTS; urine ctDNA testing detected T790M mutation in some patients for whom biopsy could not be performed or when tissue testing yielded indeterminate results. Due to enhanced targeting of TKI therapy, UTS increased PFS and OS by 0.44 and 0.35 months, respectively. UTS yields a savings of $1243-$1680 per patient due to avoidance of biopsy, potential biopsy-associated complications, and tissue-based molecular testing in approximately 55.6% of patients. Probability of T790M detection by tissue and cost of biopsy procedure were the most influential factors.

CONCLUSION

UTS prolonged PFS/OS due to increased detection of T790M mutation and decreased biopsies and complication-related costs.

Health care services utilization during the last 6 months of life among patients with bladder cancer who underwent radical cystectomy in Quebec, Canada

INTRODUCTION AND OBJECTIVES

Management of bladder cancer imposes a great economic challenge on the health care system; with the greatest share of this burden attributed to radical cystectomy (RC) and prolonged postoperative follow-up. Our aim was to characterize health care services utilization and evaluate associated cost predictors during the last 6 months of life in patients who had RC.

METHODS

We conducted a retrospective study within a cohort of 2,988 patients who had RC from 2000 to 2009. Data were obtained from the Quebec health insurance medical services database. We included patients who deceased during the study period, and survived at least 6 months after the first 90 postoperative days. Services billing codes were used to retrieve hospital, outpatient and imaging services. Linear regression models were used to assess predictors of costs.

RESULTS

From the 1,355 patients who deceased during the study period, we analyzed data of 799 subjects. Men formed 77.3% and 52.8% of patients were between 60 and 75 years of age at the time of RC. In their last 6 months of life, 17.2% of patients had surgery for major urinary tract complications, 25% had chemotherapy whereas 27.6% had radiotherapy. Also, 3.5% of patients had hemodialysis. Imaging was performed in 94.6% of patients. Urologist (specialist) visits ranked first where 72.3% of patients had 3,481 visits (average = 6 visits/pt) followed by medical subspecialist where 69% of patients had 10,010 visits (average = 18 visits/pt). For supportive care, 97% of patients had 25,560 family physician visits (average = 31 visits/pt) whereas only 16% of them had highly specialized care. Services utilization kept increasing with time especially during the last 2 months before death. Post-RC complications were significant predictor associated with increased costs at all assessed services (P<0.0001).

CONCLUSION

Our study results suggest that health care services utilization varies in the assessed period. Urologists involvement in the process of care tends to decrease over time, in favor of other medical specialties, however, some health care services, such as highly specialized supportive care, may be underutilized.

Data-Based Radiation Oncology: Design of Clinical Trials in the Toxicity Biomarkers Era

The ability to stratify patients using a set of biomarkers, which predict that toxicity risk would allow for radiotherapy (RT) modulation and serve as a valuable tool for precision medicine and personalized RT. For patients presenting with tumors with a low risk of recurrence, modifying RT schedules to avoid toxicity would be clinically advantageous. Indeed, for the patient at low risk of developing radiation-associated toxicity, use of a hypofractionated protocol could be proposed leading to treatment time reduction and a cost-utility advantage. Conversely, for patients predicted to be at high risk for toxicity, either a more conformal form or a new technique of RT, or a multidisciplinary approach employing surgery could be included in the trial design to avoid or mitigate RT when the potential toxicity risk may be higher than the risk of disease recurrence. In addition, for patients at high risk of recurrence and low risk of toxicity, dose escalation, such as a greater boost dose, or irradiation field extensions could be considered to improve local control without severe toxicities, providing enhanced clinical benefit. In cases of high risk of toxicity, tumor control should be prioritized. In this review, toxicity biomarkers with sufficient evidence for clinical testing are presented. In addition, clinical trial designs and predictive models are described for different clinical situations.

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.

Effects of Per-diem payment on the duration of hospitalization and medical expenses according to the palliative care demonstration project in Korea

OBJECTIVES

The aim of this study was to examine the impacts of a government-directed palliative care demonstration (PCD) project, Per-diem Payment System (PDPS), on length of stay (LOS), hospital costs, resource usage and healthcare quality during the searched period from January in 2009 to December in 2010.

STUDY DESIGN

A retrospective claim data review.

METHODS

Individuals who had been eligible for the palliative care payment policy, PDPS, during 2 years (from 2009 to 2010) were assigned to the case group including seven hospitals (n = 3117). Those (seven hospitals) who were not come eligible for the palliative care payment policy were assigned to the control group (n = 2347) with fee for service. The data used in this study were electronically submitted requests of payment to the Health Insurance Review Agency during the period January 2009 to December 2010.

RESULTS

After the PCD project, the length of stay for palliative patients with cancer diseases decreased by 2.56% (β = -0.026; p-value = 0.0001) among patients hospitalized in a PCD project compared with patients hospitalized in seven hospitals that was not designed as a PCD project. Compared with costs before the PCD project, costs decreased by 0.76% (β = 0.013; p-value = 0.0001).

CONCLUSIONS

We provided evidence regarding the change in the societal burden due to palliative care. Although there was a reduction of direct medical costs reported in limited number of hospitals, in the long term, we can anticipate an expanding impact on medical costs in all palliative hospitals. Copyright © 2016 John Wiley & Sons, Ltd.

Health service use and costs in the last 6 months of life in elderly decedents with a history of cancer: a comprehensive analysis from a health payer perspective

Background:

There is growing interest in end-of-life care in cancer patients. We aim to characterise health service use and costs in decedents with cancer history and examine factors associated with resource use and costs at life's end.

Methods:

We used routinely collected claims data to quantify health service use and associated costs in two cohorts of elderly Australians diagnosed with cancer: one cohort died from cancer (n=4271) and the other from non-cancer causes (n=3072). We used negative binomial regression to examine the factors associated with these outcomes.

Results:

Those who died from cancer had significantly higher rates of hospitalisations and medicine use but lower rates of emergency department use than those who died from non-cancer causes. Overall health care costs were significantly higher in those who died from cancer than those dying from other causes; and 40% of costs were expended in the last month of life.

Conclusions:

We analysed health services use and costs from a payer perspective, and highlight important differences in patterns of care by cause of death in patients with a cancer history. In particular, there are growing numbers of highly complex patients approaching the end of life and the heterogeneity of these populations may present challenges for effective health service delivery.

Long-term costs of colorectal cancer treatment in Spain

BACKGROUND

Assessing the long-term cost of colorectal cancer (CRC) increases our understanding of the disease burden. The aim of this paper is to estimate the long-term costs of CRC care by stage at diagnosis and phase of care in the Spanish National Health Service.

METHODS

Retrospective study on resource use and direct medical cost of a cohort of 699 patients diagnosed and treated for CRC in 2000-2006, with follow-up until 30 June 2011, at Hospital del Mar (Barcelona). The Kaplan-Meier sample average estimator was used to calculate observed 11-year costs, which were then extrapolated to 16 years. Bootstrap percentile confidence intervals were calculated for the mean long-term cost per patient by stage. Phase-specific, long-term costs for the entire CRC cohort were also estimated.

RESULTS

With regard to stage at diagnosis, the mean long-term cost per patient ranged from €20,708 (in situ) to €47,681 (stage III). The estimated costs increased at more advanced stages up to stage III and then substantially decreased in stage IV. In terms of treatment phase, the mean cost of the initial period represented 24.8 % of the total mean long-term cost, whereas the cost of continuing and advanced care phases represented 16.9 and 58.3 %, respectively.

CONCLUSIONS

This study is the first to provide long-term cost estimates for CRC treatment, by stage at diagnosis and phase of care, based on data from clinical practice in Spain, and it will contribute useful information for future studies on cost-effectiveness and budget impact of different therapeutic innovations in Spain.

An international comparison of costs of end-of-life care for advanced lung cancer patients using health administrative data

BACKGROUND

Patterns of end-of-life cancer care differ in Canada and the United States; yet little is known about differences in service-specific and overall costs.

AIM

The aim of this study was to compare end-of-life costs in Ontario, Canada, and the United States, using administrative health data.

DESIGN

Advanced-stage nonsmall cell lung cancer patients who died from cancer at age ⩾ 65.5 years in 2001-2005 were selected from the US Surveillance, Epidemiology, and End Results-Medicare database (N = 16,858) and the Ontario Cancer Registry (N = 8643). We estimated total and service-specific costs (2009 US dollars) in each of the last 6 months of life from the public payer perspectives for short-term and long-term survivors (lived < 180 and ⩾ 180 days post-diagnosis, respectively). Services were defined for comparisons between systems.

RESULTS

Mean monthly costs increased as death approached, were higher in short-term than long-term survivors, and were generally higher in the United States than in Ontario until the month before death, when they were similar (long-term survivors: US$10,464 and US$10,094 (p = 0.53), short-term survivors US$14,455 and US$12,836 (p = 0.11), in Surveillance, Epidemiology, and End Results-Medicare and Ontario, respectively). Costs for Medicare hospice and Ontario's palliative care components were similar and increased closer to death. Inpatient hospitalization was the main cost driver with similar costs in both cohorts, despite lower utilization in the United States. The compositions of many services and costs differed.

CONCLUSION

Costs for nonsmall cell lung cancer patients were slightly higher in the United States than Ontario until 1 month before death. Administrative data allow exploration and international comparisons of reimbursement policies, health-care delivery, and costs at the end of life.

Patterns of cancer care costs in a country with detailed individual data

Supplemental Digital Content is available in the text.

Objective:

To determine health system expenditure on cancers by time since diagnosis using data for an entire country.

Methods:

New Zealand cancer registry data was linked to hospitalization, pharmaceutical, outpatient, general practice, laboratory, and other datasets, with costs ascribed to each event occurring in 2006–2011. “Excess” cancer costs were estimated by subtracting “expected costs” for citizens without cancer from the “total cost” for cancer patients ($2011 inflation-adjusted). Gamma regressions were used to estimate costs per person-month.

Results:

For first adult cancer diagnosed that the excess cost per person was between US$3400 and US$4300 in the first month postdiagnosis (varied by sex and age), fell to US$50–US$150 per month at 2 or more years postdiagnosis (excluding those within a year of death), but increased again if dying from their cancer (US$3800–US$8300 in the last month of life). Such patterns varied by cancer, for example, in the first month postdiagnosis for 65 year olds it varied 20-fold from US$800 for prostate to US$15,900 for brain cancer.

Per diagnosed case, total excess costs varied from US$8000 (melanoma) to US$98,000 (bone and connective tissue).

Excess cancer costs made up 6.5% of total Vote:Health expenditure in 2010–2011, with colorectal (14.7%), breast (14.4%) being the top 2 contributors, and prostate, non-Hodgkin lymphoma, leukemia, and lung each contributing about 6%.

Conclusions:

Costs vary substantially by time since diagnosis and cancer type. The results and regression equations reported in this paper can be used in modeling requiring cancer costs by time since diagnosis and proximity to death.

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.

Medical Costs and Healthcare Utilization among Cancer Decedents in the Last Year of Life in 2009

Purpose

The purpose of this study was to evaluate the cancer care cost during the last year of life of patients in Korea.

Materials and Methods

We studied the breakdown of spending on the components of cancer care. Cancer decedents in 2009 were identified from the Korean Central Cancer Registry and linked with the Korean National Health Insurance Claims Database. The final number of patients included in the study was 70,558.

Results

In 2009, the average cancer care cost during the last year of life was US $15,720. Patients under age 20 spent US $53,890 while those 70 or over spent US $11,801. Those with leukemia incurred the highest costs (US $43,219) while bladder cancer patients spent the least (US $13,155). General costs, drugs other than analgesics, and test fees were relatively high (29.7%, 23.8%, and 20.7% of total medical costs, respectively). Analgesic drugs, rehabilitation, and psychotherapy were still relatively low (4.3%, 0.7%, and 0.1%, respectively). Among the results of multiple regression analysis, few were notable. Age was found to be negatively related to cancer care costs while income level was positively associated. Those classified under distant Surveillance, Epidemiology, and End Results stages of cancer and higher comorbidity level also incurred higher cancer care costs.

Conclusion

Average cancer care costs varied significantly by patient characteristics. However, the study results suggest an underutilization of support services likely due to lack of alternative accommodations for terminal cancer patients. Further examination of utilization patterns of healthcare resources will help provide tailored evidence for policymakers in efforts to reduce the burdens of cancer care.

Resource use, costs and quality of end-of-life care: observations in a cohort of elderly Australian cancer decedents

Background

The last year of life is one of the most resource-intensive periods for people with cancer. Very little population-based research has been conducted on end-of-life cancer care in the Australian health care setting. The objective of this program is to undertake a series of observational studies examining resource use, costs and quality of end-of-life care in a cohort of elderly cancer decedents using linked, routinely collected data.

Methods/Design

This study forms part of an ongoing cancer health services research program. The cohorts for the end-of-life research program comprise Australian Government Department of Veterans’ Affairs decedents with full health care entitlements, residing in NSW for the last 18 months of life and dying between 2005 and 2009. We used cancer and death registry data to identify our decedent cohorts and their causes of death. The study population includes 9,862 decedents with a cancer history and 15,483 decedents without a cancer history. The median age at death is 86 and 87 years in the cancer and non-cancer cohorts, respectively. We will examine resource use and associated costs in the last 6 months of life using linked claims data to report on health service use, hospitalizations, emergency department visits and medicines use. We will use best practice methods to examine the nature and extent of resource use, costs and quality of care based on previously published indicators. We will also examine factors associated with these outcomes.

Discussion

This will be the first Australian research program and among the first internationally to combine routinely collected data from primary care and hospital-based care to examine comprehensively end-of-life care in the elderly. The research program has high translational value, as there is limited evidence about the nature and quality of care in the Australian end-of-life setting.

Electronic supplementary material

The online version of this article (doi:10.1186/s13012-014-0148-2) contains supplementary material, which is available to authorized users.

Cost of services provided by the National Breast and Cervical Cancer Early Detection Program

BACKGROUND

The National Breast and Cervical Cancer Early Detection Program (NBCCEDP) is the largest cancer screening program for low-income women in the United States. This study updates previous estimates of the costs of delivering preventive cancer screening services in the NBCCEDP.

METHODS

We developed a standardized web-based cost-assessment tool to collect annual activity-based cost data on screening for breast and cervical cancer in the NBCCEDP. Data were collected from 63 of the 66 programs that received funding from the Centers for Disease Control and Prevention during the 2006/2007 fiscal year. We used these data to calculate costs of delivering preventive public health services in the program.

RESULTS

We estimated the total cost of all NBCCEDP services to be $296 (standard deviation [SD], $123) per woman served (including the estimated value of in-kind donations, which constituted approximately 15% of this total estimated cost). The estimated cost of screening and diagnostic services was $145 (SD, $38) per women served, which represented 57.7% of the total cost excluding the value of in-kind donations. Including the value of in-kind donations, the weighted mean cost of screening a woman for breast cancer was $110 with an office visit and $88 without, the weighted mean cost of a diagnostic procedure was $401, and the weighted mean cost per breast cancer detected was $35,480. For cervical cancer, the corresponding cost estimates were $61, $21, $415, and $18,995, respectively.

CONCLUSIONS

These NBCCEDP cost estimates may help policy makers in planning and implementing future costs for various potential changes to the program.

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.

Cost trend analysis of initial cancer treatment in Taiwan

Background

Despite the high cost of initial cancer care, that is, care in the first year after diagnosis, limited information is available for specific categories of cancer-related costs, especially costs for specific services. This study purposed to identify causes of change in cancer treatment costs over time and to perform trend analyses of the percentage of cancer patients who had received a specific treatment type and the mean cost of care for patients who had received that treatment.

Methodology/Principal Findings

The analysis of trends in initial treatment costs focused on cancer-related surgery, chemotherapy, radiation therapy, and treatments other than active treatments. For each cancer-specific trend, slopes were calculated for regression models with 95% confidence intervals. Analyses of patients diagnosed in 2007 showed that the National Health Insurance (NHI) system paid, on average, $10,780 for initial care of a gastric cancer patient and $10,681 for initial care of a lung cancer patient, which were inflation-adjusted increases of $6,234 and $5,522, respectively, over the 1996 care costs. During the same interval, the mean NHI payment for initial care for the five specific cancers increased significantly (p<0.05). Hospitalization costs comprised the largest portion of payments for all cancers. During 1996–2007, the use of chemotherapy and radiation therapy significantly increased in all cancer types (p<0.05). In 2007, NHI payments for initial care for these five cancers exceeded $12 billion, and gastric and lung cancers accounted for the largest share.

Conclusions/Significance

In addition to the growing number of NHI beneficiaries with cancer, treatment costs and the percentage of patients who undergo treatment are growing. Therefore, the NHI must accurately predict the economic burden of new chemotherapy agents and radiation therapies and may need to develop programs for stratifying patients according to their potential benefit from these expensive treatments.

The challenge of conducting comparative effectiveness research in cancer: the impact of a fragmented U.S. health-care system

Comparative effectiveness research (CER) can make important contributions to the transformation of US health care by filling gaps left by tightly controlled clinical trials. However, without comprehensive and comparable data that reflect the diversity of the US health-care system, CER's value will be diminished. We document the limits of observational CER by examining the age at diagnosis, disease stage, and select measures of health-care use among individuals diagnosed with incident cancer aged 65 or older from four large health maintenance organizations (HMOs) relative to seniors identified through the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare data for the period 1999-2007. Aged individuals in the HMOs were younger, diagnosed at earlier stages, and more likely to receive care in inpatient settings than individuals in the linked SEER-Medicare data. These differences highlight the need for comprehensive and comparable datasets that reflect the diversity of US health care to support CER that can inform health-care reform in the United States.

A standardized relative resource cost model for medical care: application to cancer control programs

Medicare data represent 75% of aged and permanently disabled Medicare beneficiaries enrolled in the fee-for-service (FFS) indemnity option, but the data omit 25% of beneficiaries enrolled in Medicare Advantage health maintenance organizations (HMOs). Little research has examined how longitudinal patterns of utilization differ between HMOs and FFS. The Burden of Cancer Study developed and implemented an algorithm to assign standardized relative costs to HMO and Medicare FFS data consistently across time and place. Medicare uses 15 payment systems to reimburse FFS providers for covered services. The standardized relative resource cost algorithm (SRRCA) adapts these various payment systems to utilization data. We describe the rationale for modifications to the Medicare payment systems and discuss the implications of these modifications. We applied the SRRCA to data from four HMO sites and the linked Surveillance, Epidemiology, and End Results-Medicare data. Some modifications to Medicare payment systems were required, because data elements needed to categorize utilization were missing from both data sources. For example, data were not available to create episodes for home health services received, so we assigned costs per visit based on visit type (nurse, therapist, and aide). For inpatient utilization, we modified Medicare's payment algorithm by changing it from a flat payment per diagnosis-related group to daily rates for diagnosis-related groups to differentiate shorter versus longer stays. The SRRCA can be used in multiple managed care plans and across multiple FFS delivery systems within the United States to create consistent relative cost data for economic analyses. Prior to international use of the SRRCA, data need to be standardized.

Economic studies in colorectal cancer: challenges in measuring and comparing costs

Estimates of the costs associated with cancer care are essential both for assessing burden of disease at the population level and for conducting economic evaluations of interventions to prevent, detect, or treat cancer. Comparisons of cancer costs between health systems and across countries can improve understanding of the economic consequences of different health-care policies and programs. We conducted a structured review of the published literature on colorectal cancer (CRC) costs, including direct medical, direct nonmedical (ie, patient and caregiver time, travel), and productivity losses. We used MEDLINE to identify English language articles published between 2000 and 2010 and found 55 studies. The majority were conducted in the United States (52.7%), followed by France (12.7%), Canada (10.9%), the United Kingdom (9.1%), and other countries (9.1%). Almost 90% of studies estimated direct medical costs, but few studies estimated patient or caregiver time costs or productivity losses associated with CRC. Within a country, we found significant heterogeneity across the studies in populations examined, health-care delivery settings, methods for identifying incident and prevalent patients, types of medical services included, and analyses. Consequently, findings from studies with seemingly the same objective (eg, costs of chemotherapy in year following CRC diagnosis) are difficult to compare. Across countries, aggregate and patient-level estimates vary in so many respects that they are almost impossible to compare. Our findings suggest that valid cost comparisons should be based on studies with explicit standardization of populations, services, measures of costs, and methods with the goal of comparability within or between health systems or countries. Expected increases in CRC prevalence and costs in the future highlight the importance of such studies for informing health-care policy and program planning.