Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Department of Radiation Oncology, Government Medical College and Hospital, Chandigarh, India.
Front Public Health. 2023 Jun 19;11:1065737. doi: 10.3389/fpubh.2023.1065737. eCollection 2023.
The rising economic burden of cancer on patients is an important determinant of access to treatment initiation and adherence in India. Several publicly financed health insurance (PFHI) schemes have been launched in India, with treatment for cancer as an explicit inclusion in the health benefit packages (HBPs). Although, financial toxicity is widely acknowledged to be a potential consequence of costly cancer treatment, little is known about its prevalence and determinants among the Indian population. There is a need to determine the optimal strategy for clinicians and cancer care centers to address the issue of high costs of care in order to minimize the financial toxicity, promote access to high value care and reduce health disparities.
A total of 12,148 cancer patients were recruited at seven purposively selected cancer centres in India, to assess the out-of-pocket expenditure (OOPE) and financial toxicity among cancer patients. Mean OOPE incurred for outpatient treatment and hospitalization, was estimated by cancer site, stage, type of treatment and socio-demographic characteristics. Economic impact of cancer care on household financial risk protection was assessed using standard indicators of catastrophic health expenditures (CHE) and impoverishment, along with the determinants using logistic regression.
Mean direct OOPE per outpatient consultation and per episode of hospitalization was estimated as ₹8,053 (US$ 101) and ₹39,085 (US$ 492) respectively. Per patient annual direct OOPE incurred on cancer treatment was estimated as ₹331,177 (US$ 4,171). Diagnostics (36.4%) and medicines (45%) are major contributors of OOPE for outpatient treatment and hospitalization, respectively. The overall prevalence of CHE and impoverishment was higher among patients seeking outpatient treatment (80.4% and 67%, respectively) than hospitalization (29.8% and 17.2%, respectively). The odds of incurring CHE was 7.4 times higher among poorer patients [Adjusted Odds Ratio (AOR): 7.414] than richest. Enrolment in PM-JAY (CHE AOR = 0.426, and impoverishment AOR = 0.395) or a state sponsored scheme (CHE AOR = 0.304 and impoverishment AOR = 0.371) resulted in a significant reduction in CHE and impoverishment for an episode of hospitalization. The prevalence of CHE and impoverishment was significantly higher with hospitalization in private hospitals and longer duration of hospital stay ( < 0.001). The extent of CHE and impoverishment due to direct costs incurred on outpatient treatment increased from 83% to 99.7% and, 63.9% to 97.1% after considering both direct and indirect costs borne by the patient and caregivers, respectively. In case of hospitalization, the extent of CHE increased from 23.6% (direct cost) to 59.4% (direct+ indirect costs) and impoverishment increased from 14.1% (direct cost) to 27% due to both direct and indirect cost of cancer treatment.
There is high economic burden on patients and their families due to cancer treatment. The increase in population and cancer services coverage of PFHI schemes, creating prepayment mechanisms like E-RUPI for outpatient diagnostic and staging services, and strengthening public hospitals can potentially reduce the financial burden among cancer patients in India. The disaggregated OOPE estimates could be useful input for future health technology analyses to determine cost-effective treatment strategies.
癌症给患者带来的经济负担不断增加,这是影响其能否及时开始治疗和坚持治疗的一个重要决定因素。印度推出了几项公共资助的健康保险(PFHI)计划,癌症治疗被明确纳入了健康福利套餐(HBPs)。虽然人们普遍认为昂贵的癌症治疗会带来财务毒性,但我们对印度人群中这种毒性的流行程度和决定因素知之甚少。为了最大限度地减少财务毒性,促进获得高价值的治疗并减少健康差距,临床医生和癌症护理中心需要确定最佳策略来解决治疗费用高昂的问题。
在印度的 7 个有针对性选择的癌症中心,共招募了 12148 名癌症患者,以评估癌症患者的自付费用(OOPE)和财务毒性。根据癌症部位、阶段、治疗类型和社会人口特征,估计了门诊治疗和住院治疗的平均 OOPE。使用灾难性卫生支出(CHE)和贫困的标准指标以及使用逻辑回归的决定因素,评估了癌症护理对家庭财务风险保护的经济影响。
估计每次门诊就诊的直接 OOPE 为₹8053(101 美元),每次住院的直接 OOPE 为₹39085(492 美元)。癌症治疗的患者每年直接 OOPE 估计为₹331,177(4171 美元)。门诊治疗和住院治疗的主要自费项目分别是诊断(36.4%)和药物(45%)。与住院治疗(分别为 29.8%和 17.2%)相比,门诊治疗的 CHE 和贫困发生率更高(分别为 80.4%和 67%)。与最富裕的患者相比,较贫穷的患者发生 CHE 的可能性高 7.4 倍[调整后的优势比(AOR):7.414]。参与 PM-JAY(CHE AOR=0.426 和贫困 AOR=0.395)或州资助计划(CHE AOR=0.304 和贫困 AOR=0.371)可显著降低住院治疗的 CHE 和贫困发生率。在私立医院住院和住院时间较长(<0.001)的情况下,住院 CHE 和贫困发生率显著更高。考虑到患者和护理人员直接和间接自付的费用后,门诊治疗直接费用导致的 CHE 和贫困发生率从 83%分别增加到 99.7%和 63.9%分别增加到 97.1%。在住院治疗的情况下,由于直接和间接癌症治疗费用,CHE 从 23.6%(直接费用)增加到 59.4%(直接+间接费用),贫困从 14.1%(直接费用)增加到 27%。
癌症治疗给患者及其家庭带来了沉重的经济负担。PFHI 计划覆盖人群和癌症服务的增加,为门诊诊断和分期服务创建预付款机制,如 E-RUPI,并加强公立医院,这可能会减轻印度癌症患者的经济负担。分解后的 OOPE 估计数可作为未来卫生技术分析的有用投入,以确定具有成本效益的治疗策略。