Background: China started to cover novel medicines for the treatment of major cancers, such as trastuzumab for breast cancer by the government health insurance programs since 2016. Limited data have been published on the use of cancer medications and little is known about how government health insurance coverage of novel anti-cancer medicines benefited patients in the real world. This study aimed to generate evidence to inform the health security authorities to optimize the government health insurance coverage of novel anti-cancer medicines as a more inclusive and equal policy, through which each of the needed patient can get access to the novel anti-cancer medicines regardless of the ability to pay.
Methods: The study targeted one of the government health insurance newly covered novel medicines for breast cancer and the breast cancer patients. The analyses were based on the data collected from one tertiary public hospital in Fujian province of China. We conducted interrupted time series analysis with a segmented regression model and multivariate analyses with a binary logistic regression model to analyze the impact of the government health insurance coverage on medicines utilization and the determinants of patient's medication choice.
Results: The average proportion of patients who initiated medication with novel medicines increased from 37.4% before the government health insurance coverage to 69.2% afterwards. Such an increase was observed in all patient sub-groups. The monthly proportion of patients who initiated medication with novel medicines increased sharply by 18.3 % (95 %CI,10.4-34.0 %, p = 0.01) in September 2017, the afterwards trend continuously increased (95 %CI,1.03-3.60, p = 0.02). The critical determinants of patient's medication choice were mostly connected with the patient's health insurance benefits packages.
Conclusions: The government health insurance coverage of novel anti-breast-cancer medicines benefited the patients generally. The utilization of novel medicines such as trastuzumab continuously increased. The insurance coverage benefited well the patients in the high-risk age groups. However, rural patients, patients enrolled in the "resident program", and patients from low-income residential areas and non-local patients benefited less from this policy. Improving the benefits package of the low-income patients and the "resident program" beneficiary would be of considerable significance for a more inclusive and equal health insurance coverage of novel anti-cancer medicines.
Keywords: Affordability; Benefits package; Binary logistic regression; Interrupted time series study; Novel anti-cancer medicines.
© 2021. The Author(s).