Cost of Cutaneous Melanoma by Tumor Stage: A descriptive analysis

Cost items in melanoma patients by clinical characteristics and time from diagnosis

Background

Costs related to the care of melanoma patients have been rising over the past few years due to increased disease incidence as well as the introduction of innovative treatments. The aim of this study is to analyse CMM cost items based on stage at diagnosis, together with other diagnostic and prognostic characteristics of the melanoma.

Methods

Analyses were performed on 2,647 incident cases of invasive CMM that were registered in 2015 and 2017 in the Veneto Cancer Registry (RTV). Direct melanoma-related costs per patient were calculated for each year ranging from 2 years before diagnosis to 4 years after, and were stratified by cost items such as outpatient services, inpatient drug prescriptions, hospital admissions, hospice admissions, and emergency room treatment. Average yearly costs per patient were compared according to available clinical-pathological characteristics. Lastly, log-linear multivariable analysis was performed to investigate potential cost drivers among these clinical-pathological characteristics.

Findings

Overall, the average direct costs related to melanoma are highest in the first year after diagnosis (€2,903) and then decrease over time. Hospitalization costs are 8 to 16 times higher in the first year than in subsequent years, while the costs of outpatient services and inpatient drugs decrease gradually over time. When stratified by stage it is observed that the higher expenditure associated with more advanced stages of CMM is mainly due to inpatient drug use.

Conclusion

The results of the present study show that grouping patients according to tumour characteristics can improve our understanding of the different cost items associated with cutaneous malignant melanoma. CMM patients experience higher costs in the first year after diagnosis due to higher hospitalization and outpatient services. Policy makers should consider overall and stage-specific annual costs when allocating resources for the management of CMM patients.

The relationship between cost and the recommendation, refusal, and discontinuation of treatment for chronic myeloid leukemia and multiple myeloma in Japan: a cross-sectional exploratory survey

AIMS

This study aimed to ascertain the number of patients with chronic myelogenous leukemia (CML) and transplant-ineligible patients with multiple myeloma (MM) not recommended by their physicians for optimal drug treatment or who refuse, discontinue, reduce, or skip treatment owing to cost in Japan.

METHODS

A cross-sectional survey was conducted among hematologists, hematologic oncologists, and oncologists in Japan treating ≥1 patient with CML or ≥5 transplant-ineligible patients with MM per year.

RESULTS

A total of 212 physicians participated: 105 treating patients with CML and 107 treating transplant-ineligible patients with MM. While treatment cost did not lead to non-optimal treatment most patients, physicians reported that they recommended non-optimal treatment to 6.53% of their patients with CML and 1.41% of their transplant-ineligible patients with MM, that 1.51 and 0.35% of their patients, respectively, refused treatment and that 1.97 and 0.71% discontinued treatment owing to treatment cost. However, no significant differences in the effect of treatment cost on recommendation, discontinuation, refusal, or reduction of treatment were observed. Non-recommendation of optimal treatment owing to treatment cost was most common for third-line CML and fourth-line transplant-ineligible MM treatment. Discontinuation due to treatment cost was most common in third-line treatment for both.

CONCLUSION

Our results show that non-optimal treatment due to treatment cost occurs among some physicians in Japan for patients with CML and transplant-ineligible patients with MM, but it may be limited to a small percentage of patients. Further research is needed to identify the drivers of treatment decisions for physicians and patients, including those involving treatment cost.

Cutaneous melanoma: cost of illness under Brazilian health system perspectives

BACKGROUND

The landscape of cutaneous melanoma (CM) diagnosis, staging, prognosis, and treatment has undergone fundamental changes in the past decade. While the benefits of new health resources are recognized, there is a distinct lack of accurate cost-of-illness information to aid healthcare decision makers.

METHODS

The cost-of-illness study for CM was conducted from the perspective of two health systems in Brazil: the public health system (Unified Health System, SUS) and the private health system (Health Management Organization, HMO). The study considered the direct medical cost in a bottom-up analysis, using melanoma incidence, knowledge of the disease's progression, and the overall survival rates. The executional costs for the complete healthcare delivery cycle were investigated considering different disease stages and possible clinical course variations. The structural cost was assessed qualitatively considering the health value chain in Brazil.

RESULTS

CM represents a critical financial burden in Brazil, and the cost of illness varied according to the health system and by stage at diagnosis. HMO patient costs are approximately 10-fold and 90-fold more than a SUS patient in the early-stage and advanced disease, respectively. Overall, spending on advanced disease patients can be up to 34-fold (SUS) or 270-fold (HMO) higher than that required for the early-stage disease. Given the massive amount of resources spent by the SUS and HMO, significant efforts must be made to improve the health value chain to deliver the right mix of medical care goods and services using available resources.

CONCLUSION

The cost-of-illness study for CM has the potential to inform policymakers and decision-makers regarding the economic burden that melanoma impose on a society in terms of the use of health care services, assisting them in making projections of future health care costs and resource allocation decisions. We believe that cost-of-illness analysis from a strategic perspective could be of help in assessing executional costs and be used to support the change in structural costs required for long-term strategies related to the health value chain.