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      Financial toxicity of cancer treatment in India: towards closing the cancer care gap

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          Abstract

          Background

          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.

          Methods

          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.

          Results

          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 ( p < 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.

          Conclusion

          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.

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          Most cited references42

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          Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India

          Using data from India, we estimate the relationship between household wealth and children’s school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children’s enrollment across Indian states. On average a “rich” child is 31 percentage points more likely to be enrolled than a “poor” child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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            Household catastrophic health expenditure: a multicountry analysis.

            Health policy makers have long been concerned with protecting people from the possibility that ill health will lead to catastrophic financial payments and subsequent impoverishment. Yet catastrophic expenditure is not rare. We investigated the extent of catastrophic health expenditure as a first step to developing appropriate policy responses. We used a cross-country analysis design. Data from household surveys in 59 countries were used to explore, by regression analysis, variables associated with catastrophic health expenditure. We defined expenditure as being catastrophic if a household's financial contributions to the health system exceed 40% of income remaining after subsistence needs have been met. The proportion of households facing catastrophic payments from out-of-pocket health expenses varied widely between countries. Catastrophic spending rates were highest in some countries in transition, and in certain Latin American countries. Three key preconditions for catastrophic payments were identified: the availability of health services requiring payment, low capacity to pay, and the lack of prepayment or health insurance. People, particularly in poor households, can be protected from catastrophic health expenditures by reducing a health system's reliance on out-of-pocket payments and providing more financial risk protection. Increase in the availability of health services is critical to improving health in poor countries, but this approach could raise the proportion of households facing catastrophic expenditure; risk protection policies would be especially important in this situation.
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              The financial burden and distress of patients with cancer: Understanding and stepping-up action on the financial toxicity of cancer treatment.

              "Financial toxicity" has now become a familiar term used in the discussion of cancer drugs, and it is gaining traction in the literature given the high price of newer classes of therapies. However, as a phenomenon in the contemporary treatment and care of people with cancer, financial toxicity is not fully understood, with the discussion on mitigation mainly geared toward interventions at the health system level. Although important, health policy prescriptions take time before their intended results manifest, if they are implemented at all. They require corresponding strategies at the individual patient level. In this review, the authors discuss the nature of financial toxicity, defined as the objective financial burden and subjective financial distress of patients with cancer, as a result of treatments using innovative drugs and concomitant health services. They discuss coping with financial toxicity by patients and how maladaptive coping leads to poor health and nonhealth outcomes. They cover management strategies for oncologists, including having the difficult and urgent conversation about the cost and value of cancer treatment, availability of and access to resources, and assessment of financial toxicity as part of supportive care in the provision of comprehensive cancer care. CA Cancer J Clin 2018;68:153-165. © 2018 American Cancer Society.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                19 June 2023
                2023
                : 11
                : 1065737
                Affiliations
                [1] 1Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research (PGIMER) , Chandigarh, India
                [2] 2Department of Radiation Oncology, Government Medical College and Hospital , Chandigarh, India
                [3] 3Dr. B. Booroah Cancer Institute , Guwahati, India
                [4] 4Department of Medical Oncology, Adyar Cancer Institute , Chennai, India
                [5] 5Department of Medical Oncology, All India Institute of Medical Sciences (AIIMS) , New Delhi, India
                [6] 6Department of Medical Oncology, Christian Medical College , Vellore, India
                [7] 7Department of Clinical Hematology and Medical Oncology, Post Graduate Institute of Medical Education and Research (PGIMER) , Chandigarh, India
                [8] 8Department of Health Research, Ministry of Health and Family Welfare , New Delhi, India
                [9] 9Department of Medical Oncology, Tata Memorial Centre , Mumbai, India
                Author notes

                Edited by: Prashant Mathur, National Centre for Disease Informatics and Research, India

                Reviewed by: Ramna Thakur, Indian Institute of Technology Mandi, India; Rinshu Dwivedi, Indian Institute of Information Technology Tiruchirappalli, India

                *Correspondence: Shankar Prinja, shankarprinja@ 123456gmail.com
                Article
                10.3389/fpubh.2023.1065737
                10316647
                557ba55c-00af-4eda-9281-eebe649a5098
                Copyright © 2023 Prinja, Dixit, Gupta, Dhankhar, Kataki, Roy, Mehra, Kumar, Singh, Malhotra, Goyal, Rajsekar, Krishnamurthy and Gupta.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 28 October 2022
                : 18 April 2023
                Page count
                Figures: 5, Tables: 3, Equations: 6, References: 58, Pages: 15, Words: 10803
                Funding
                Funded by: Department of Health Research, Ministry of Health and Family Welfare
                Award ID: F.No.T.11011/02/2017-HR/3100291
                Categories
                Public Health
                Original Research
                Custom metadata
                Health Economics

                financial toxicity,catastrophic health expenditure,impoverishment,direct out of pocket expenditure,indirect cost due to loss of productivity,cancer,outpatient care,hospitalization

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