The challenge of sustainability in healthcare systems: cost of radiotherapy in the last month of life in an Italian cancer center

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

OBJECTIVES

Cancers are significant medical conditions that contribute to the rising costs of healthcare systems and chronic diseases. This study aimed to estimate the average costs of medical services provided to patients with advanced cancers at the end of life (EOL).

METHODS

We analyzed data from the Sata insurance claim database and the Health Information System of Baqiyatallah hospital in Iran. The study included all adult decedents who had advanced cancer without comorbidities, died between March 2020 and September 2020, and had a history of hospitalization in the hospital. We calculated the average total cost of healthcare services per patient during the EOL period, including both cancer-related and noncancer-related costs.

RESULTS

A total of 220 patients met the inclusion criteria. The average duration of the EOL period for these patients was 178 days, with an average total cost of $8278 (SD $5698) for men and $9396 (SD $6593) for women. Cancer-related costs accounted for 64.42% of the total costs, including inpatient and outpatient services. Among these costs, hospitalization was the primary cost driver and had the greatest impact on EOL costs. This observation was supported by the multiple linear regression model, which suggested that hospitalization in the final days of life could potentially drive costs in these patients. Notably, no specialized palliative care was provided to the patients included in this study.

CONCLUSIONS

The results demonstrate that there is a significant rise in costs of care in patients receiving routine cancer care rather than optimized EOL care.

Radiotherapy and palliative care outpatient clinic: a new healthcare integrated model in Italy

BACKGROUND

On the basis of substantial evidence demonstrate that palliative care combined with standard care improves patient, caregiver, and society outcomes, we have developed a new healthcare model called radiotherapy and palliative care (RaP) outpatient clinic were a radiation oncologist and a palliative care physician make a joint evaluation of advanced cancer patients.

METHODS

We performed a monocentric observational cohort study on advanced cancer patients referred for evaluation at the RaP outpatient clinic. Measures of quality of care were carried out.

RESULTS

Between April 2016 and April 2018, 287 joint evaluations were performed and 260 patients were evaluated. The primary tumor was lung in 31.9% of cases. One hundred fifty (52.3%) evaluations resulted in an indication for palliative radiotherapy treatment. In 57.6% of cases was used a single dose fraction of radiotherapy (8 Gy). All the irradiated cohort completed the palliative radiotherapy treatment. An 8% of irradiated patients received the palliative radiotherapy treatment in the last 30 days of life. A total of 80% of RaP patients received palliative care assistance until the end of life.

CONCLUSION

At the first descriptive analysis, the radiotherapy and palliative care model seem to respond to the need of multidisciplinary approach in order to obtain an improvement on quality of care for advanced cancer patients.

Dual Use of the METSSS Model Predicting Survival After Palliative Radiotherapy: An Exploratory Analysis

INTRODUCTION

The recently published METSSS model, which was developed for prediction of survival after palliative radiotherapy, includes age, sex, cancer type, localization of distant metastases, Charlson-Deyo comorbidity score and radiotherapy site. Its ability to predict other relevant endpoints has not been studied yet. Therefore, this exploratory study analyzed the endpoints "unplanned termination of radiotherapy" and "treatment in the last 30 days of life" in the METSSS-defined risk groups (low/medium/high).

METHODS

The risk group was assigned in the METSSS online calculator for our patient cohort with non-hematological malignancies treated between 2009 and 2014 during the first course of treatment (resembling details of the original METSSS study). All patients were treated with classical palliative dose/fractionation regimes such as five fractions of 4 Gy, 10 fractions of 3 Gy or 13 fractions of 3 Gy. No stereotactic high-dose radiation was utilized. Given that single-fraction radiotherapy cannot be discontinued, patients treated with 8 Gy x1 for uncomplicated painful bone metastases were excluded. Both completed and discontinued multi-fraction radiotherapy courses (at least two fractions intended) were included.

RESULTS

The study included 290 patients, 19 of whom failed to complete their prescribed course of palliative radiotherapy (7%). Thirty-nine (13%) were irradiated in the last 30 days of life. Only one patient was classified as low-risk according to the METSSS model (medium: 15, high: 274). Only Eastern Cooperative Oncology Group (ECOG) performance status (PS) was significantly associated with incomplete treatment. All 16 patients with low/medium METSSS risk scores completed their prescribed course of radiotherapy, compared to the 93% completion rate in the high-risk group, p=0.41. With regard to treatment in the last 30 days of life, ECOG PS, metastases to brain, liver and lung, and the number of prescribed fractions were statistically significant. One patient with a low/medium METSSS risk score was treated in the last 30 days of life (6%), compared to 14% in the high-risk group, p=0.49.

CONCLUSION

 Unexpected imbalances in the METSSS risk group size resulted in lower statistical power than anticipated. Patients with low/medium METSSS risk scores performed numerically better. However, other predictive factors, especially ECOG PS, which is not part of the METSSS model, maybe more relevant. Further efforts towards the application of the model beyond its original objective cannot be recommended.