Phase- and gender-specific, lifetime, and future costs of cancer: A retrospective population-based registry study

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.

Trends and disparities in colorectal cancer hospitalizations and outcomes: a 10-year joinpoint trend study

Background

Colorectal cancer (CRC) poses a significant burden on healthcare systems globally. Sociodemographic factors intricately influence CRC epidemiology, yet their impact on inpatient care remains underexplored. This study aimed to assess trends in CRC hospitalization and the effect of sociodemographic factors on outcomes of CRC patients.

Methods

A retrospective longitudinal analysis was conducted using data from the Healthcare Cost and Utilization Project National Inpatient Sample. Trends in CRC admissions were assessed, stratified by sociodemographic variables. Disparities in hospital-associated outcomes were examined. Statistical methods included multivariable regression and joinpoint regression analysis.

Results

The prevalence of CRC hospitalizations uptrended from 760 per 100,000 hospitalizations in 2010 to 841 per 100,000 hospitalizations in 2019 (P trend < 0.001). The mean age decreased from 67 to 66 years (P < 0.001). Male gender and White race were predominant across the study period. Inpatient mortality decreased from 4.5% in 2010 to 4.16% in 2019 (P trend = 0.033). On sex subgroup analysis, men had a significantly higher mortality rate (P = 0.034). Racially, Blacks had the highest mortality rate (P = 0.550) and only Whites showed a significant decline in mortality over the study period (P = 0.003). Hospitalization length decreased while total hospital charges increased.

Conclusion

Our study highlights sociodemographic disparities in CRC outcomes, emphasizing the need for targeted interventions to address inequity in screening, diagnosis, and treatment. Continued research is needed to inform effective healthcare practices in mitigating these disparities and improving survival outcomes.

Cancer-related costs should be allocated in a comparable way-benchmarking costs of cancer in Nordic countries 2012-2017

BACKGROUND

High costs of cancer, and especially the increase in treatment costs, have raised concerns about the financial sustainability of publicly funded health care systems around the world. As cancers get more prevalent with age, treatment costs are expected to keep rising with aging populations. The objective of the study is to analyze the changes in cost of cancer care broken down into separate cost components and outcomes of cancer treatment in the Nordic countries 2012-2017.

MATERIALS AND METHODS

We estimated direct costs of cancer based on retrospective data from national registers: outpatient care and inpatient care in primary care and specialized care as well as medicine costs. The number of cancer cases and survival data was obtained from NORDCAN. Cancer was defined as ICD-10 codes C00-C97.

RESULTS

Healthcare costs of cancer in real terms increased in all countries: CAGR was between 1 and 6% depending on the country. Medicine costs have increased rapidly (37-125%) in all countries during the observation period. In Finland and Denmark, inpatient care costs have decreased, whereas in Iceland, Norway, and Sweden, they have increased, although the number of inpatient days has decreased everywhere. The age-standardized cancer mortality has decreased constantly over time.

CONCLUSION

Cancer care in Nordic countries has significant differences in both cost structures and in the development of cost drivers, indicating differences in the organization of care and different focus in health policy. It is important to compare the cancer care costs internationally on a detailed level to understand the reasons for cost development. The registration of cost data, especially medicine costs, should be more standardized to enable better cost and outcomes comparisons between countries in the future.

Treatment Costs of Colorectal Cancer by Sex and Age: Population-Based Study on Health Insurance Data from Germany

Objective: Evidence on the cost-effectiveness of screening for colorectal cancer (CRC) in the German general population remains scarce as key input parameters, the costs to treat CRC, are largely unknown. Here, we provide detailed estimates on CRC treatment costs over time. Methods: Using insurance claims data from the Vilua healthcare research database, we included subjects with newly diagnosed CRC and subjects who died of CRC between 2012 and 2016. We assessed annualized CRC-related inpatient, outpatient and medication costs for up to five years after first diagnosis and prior to death, stratified by sex and age. Findings: We identified 1748 and 1117 subjects with follow-up data for at least 1 year after diagnosis and prior to death, respectively. In those newly diagnosed, average costs were highest in the first year after diagnosis (men, EUR 16,375−16,450; women, EUR 10,071−13,250) and dropped steeply in the following years, with no consistent pattern of differences with respect to age. Costs prior to death were substantially higher as compared to the initial phase of care and consistently on a high level even several years before death, peaking in the final year of life, with strong differences by sex and age (men vs. women, <70 years, EUR 34,351 vs. EUR 31,417; ≥70 years, EUR 14,463 vs. EUR 9930). Conclusion: Once clinically manifest, CRC causes substantial treatment costs over time, particularly in the palliative care setting. Strong differences in treatment costs by sex and age warrant further investigation.

Registries: Big data, bigger problems?

Patient registries have grown in size and number along with general computing power and digitization of the healthcare world. In contrast to databases, registries are typically patient data systematically created and collected for the express purpose of answering health-related questions. Registries can be disease-, procedure-, pathology-, or product-based in nature. Registry-based studies typically fit into Level II or III in the hierarchy of evidence-based medicine. However, a recent advent in the use of registry data has been the development and execution of registry-based trials, such as the TASTE trial, which may elevate registry-based studies into the realm of Level I evidence. Some strengths of registries include the sheer volume of data, the inclusion of a diverse set of participants, and their ability to be linked to other registries and databases. Limitations of registries include variable quality of the collected data, and a lack of active follow-up (which may underestimate rates of adverse events). As with any study type, the intended design does not automatically lead to a study of a certain quality. While no specific tool exists for assessing the quality of a registry-based study, some important considerations include ensuring the registry is appropriate for the question being asked, whether the patient population is representative, the presence of an appropriate comparison group, and the validity and generalizability of the registry in question. The future of clinical registries remains to be seen, but the incorporation of big data and machine learning algorithms will certainly play an important role.

Men receive more end-of-life cancer hospital treatment than women: fact or fiction?

BACKGROUND

An important goal of health care systems is equitable access to health care. Previous research, however, indicates that men receive more cancer care and health care resources than women. The aim of this study was to investigate whether there is a gender difference in terms of end-of-life cancer treatment in hospitals in Norway.

MATERIAL AND METHODS

We used nationwide patient-level data from the Norwegian Patient Registry (2013-2017, n = 64,694), and aggregated data from the Norwegian Cause of Death Registry (2013-2018, n = 66,534). We described direct medical costs and utilization of cancer treatment in hospitals (in-patient stays and out-patient clinics) and specialized palliative home care teams by the means of the following variables: gender, type of cancer, age, region of residence, place of death, and use of pharmaceutical anti-cancer treatment last month before death. Generalized linear models with a gamma distribution and log-link function were fitted to identify determinants of direct medical costs in hospital's last year of life.

RESULTS

Women aged 0-69 years had an average direct medical cost in hospitals of €26,117 during the last year of life, compared to €29,540 for men, while they were respectively €19,889 and €22,405 for those aged 70 years or older. These gender differences were confirmed in regression models with gender as the only covariate. Adjusted additionally for the type of cancer, the difference was 11%, while including age as a covariate reduced the difference to 6%. When the place of death was also included, the difference was down to 4%.

DISCUSSION

The gender difference in hospital costs last year of life can largely be explained by age at death and the proportion dying in hospitals. When adjusting for confounding factors, the differences in end-of-life costs in hospitals are minimal.