Real-World Cost-Effectiveness of Palliative Care for Terminal Cancer Patients in a Japanese General Hospital

Analysis of the cost-effectiveness of proton beam therapy for unresectable pancreatic cancer in Japan

BACKGROUND

Proton beam therapy (PBT) has recently been included in Japan's social health insurance benefits package. This study aimed to determine the cost-effectiveness of PBT for unresectable, locally advanced pancreatic cancer (LAPC) as a replacement for conventional photon radiotherapy (RT).

METHODS

We estimated the incremental cost-effectiveness ratio (ICER) of PBT as a replacement for three-dimensional conformal RT (3DCRT), a conventional photon RT, using clinical evidence in the literature and expense complemented by expert opinions. We used a decision tree and an economic and Markov model to illustrate the disease courses followed by LAPC patients. Effectiveness was estimated as quality-adjusted life years (QALY) using utility weights for the health state. Social insurance fees were calculated as the costs. The stability of the ICER against the assumptions made was appraised using sensitivity analyses.

RESULTS

The effectiveness of PBT and 3DCRT was 1.67610615 and 0.97181271 QALY, respectively. The ICER was estimated to be ¥5,376,915 (US$46,756) per QALY. According to the suggested threshold for anti-cancer therapy from the Japanese authority of ¥7,500,000 (US$65,217) per QALY gain, such a replacement would be considered cost-effective. The one-way and probabilistic sensitivity analyses demonstrated stability of the base-case ICER.

CONCLUSION

PBT, as a replacement for conventional photon radiotherapy, is cost-effective and justifiable as an efficient use of finite healthcare resources. Making it a standard treatment option and available to every patient in Japan is socially acceptable from the perspective of health economics.

[A regional comparison of outcomes quality and costs of general and specialized palliative care in Germany: a claims data analysis]

BACKGROUND

The main framework conditions for palliative care are set at the regional level. The scope of the forms of care used (outpatient, inpatient, general, specialized) varies widely. What is the quality of outcomes achieved by the palliative care provided on a federal states level? What are the associated costs of care?

METHOD

Retrospective observational study using BARMER claims data from 145,372 individuals who died between 2016 and 2019 and had palliative care in the last year of life. Regional comparison with regard to the following outcomes: proportion of palliative care patients who died in the hospital, potentially burdensome care in the last 30 days of life (ambulance calls, [intensive care] hospitalizations, chemotherapy, feeding tubes, parenteral nutrition), total cost of care (last three months), cost of palliative care (last year), and cost-effectiveness ratios. Calculation of patient/resident characteristic adjusted rates, costs, and ratios.

RESULTS

Federal states vary significantly with respect to the outcomes (also adjusted) of palliative care. Palliative care costs vary widely, most strongly for specialized outpatient palliative care (SAPV). Across all indicators and the cost-effectiveness ratio of total cost of care to at-home deaths, Westphalia-Lippe shows favorable results.

CONCLUSION

Regions with better quality and more favorable cost (ratios) can provide guidance for other regions. The extent to which the new federal SAPV agreement can incorporate the empirical findings should be reviewed. Patient-relevant outcome parameters should be given greater weight than parameters aiming at structures of care.

Cost-saving prediction model of transfer to palliative care for terminal cancer patients in a Japanese general hospital

BACKGROUND

Although medical costs need to be controlled, there are no easily applicable cost prediction models of transfer to palliative care (PC) for terminal cancer patients.

OBJECTIVE

Construct a cost-saving prediction model based on terminal cancer patients' data at hospital admission.

STUDY DESIGN

Retrospective cohort study.

SETTING

A Japanese general hospital.

PATIENTS

A total of 139 stage IV cancer patients transferred to PC, who died during hospitalization from April 2014 to March 2019.

MAIN OUTCOME MEASURE

Patients were divided into higher (59) and lower (80) total medical costs per day after transfer to PC. We compared demographics, cancer type, medical history, and laboratory results between the groups. Stepwise logistic regression analysis was used for model development and area under the curve (AUC) calculation.

RESULTS

A cost-saving prediction model (AUC = 0.78, 95% CI: 0.70, 0.85) with a total score of 13 points was constructed as follows: 2 points each for age ≤ 74 years, creatinine ≥ 0.68 mg/dL, and lactate dehydrogenase ≤ 188 IU/L; 3 points for hemoglobin ≤ 8.8 g/dL; and 4 points for potassium ≤ 3.3 mEq/L.

CONCLUSION

Our model contains five predictors easily available in clinical settings and exhibited good predictive ability.