[et_pb_section fb_built=”1″ admin_label=”!!! PLEASE DO NOT EDIT !!!” _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_row admin_label=”!!! PLEASE DO NOT EDIT !!!” _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.5″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”TO BE EDITED – SUMMARY – Click on the WHEEL icon to open the textarea where you can paste or type your summary. Summary should be in bold and 250-300 characters. The counter at the bottom can help.” _builder_version=”4.20.2″ _module_preset=”default” custom_padding=”||20px||false|false” global_colors_info=”{}”][\/et_pb_text][et_pb_text admin_label=”TO BE EDITED – TEXT OF THE NEWS – Click on the WHEEL icon to open the textarea where you can paste or type your news. PLEASE USE THE USE ONLY THE FEATURED IMAGE FUNCTION on your right column to add the image.” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
A key aim of Universal Health Coverage (UHC) is to protect individuals and households against the financial risk of illness, and large-scale health insurance expansions are a central focus of the UHC agenda. Importantly, however, health insurance does not protect against a key dimension of financial risk associated with illness: forgone wage income. In this paper, we quantify the economic burden of illness in India attributable \u2013 separately \u2013 to wage loss and to medical care spending, as well as differences in them across the socio-economic distribution.<\/p>\n<\/div>\n
We use data from two longitudinal Indian household surveys: (i) the Village Dynamics in South Asia (VDSA) survey (1300 households surveyed every month for 60 months between 2010 and 2015) and (ii) the Indian\u00a0Human Development<\/a>\u00a0Survey (IHDS) (more than 40,000 households surveyed in 2005 and again in 2011). Our regression models include a series of\u00a0fixed effects<\/a>\u00a0that account for time-invariant household- (or individual-) level and time-varying unobservables common across households.<\/p>\n<\/div>\n We find that, in the VDSA sample, wage loss accounts for more than 80% of the total economic burden of illness among the poorest households, but only about 20% of the economic burden of illness among the most affluent. Estimates from the IHDS sample confirm that this socio-economic gradient is present in the Indian population generally.<\/p>\n<\/div>\n Wage loss accounts for a substantial share of the total economic burden of illness in India \u2013 and disproportionately so among the poorest households. Our findings imply that if UHC is to achieve its objective of protecting households against the financial risk of illness \u2013 particularly poor households, the inclusion of wage loss insurance or another illness-related income replacement benefit is needed.<\/p>\n<\/div>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" \u200bAbstract Background A key aim of Universal Health Coverage (UHC) is to protect individuals and households against the financial risk of illness, and large-scale health insurance expansions are a central focus of the UHC agenda. Importantly, however, health insurance does not protect against a key dimension of financial risk associated with illness: forgone wage income….<\/p>\n","protected":false},"author":559,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":""},"categories":[],"tags":[122,135],"document_type":[2337],"acf":[],"_links":{"self":[{"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/documents\/987666543"}],"collection":[{"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/documents"}],"about":[{"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/types\/documents"}],"author":[{"embeddable":true,"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/users\/559"}],"replies":[{"embeddable":true,"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/comments?post=987666543"}],"version-history":[{"count":4,"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/documents\/987666543\/revisions"}],"predecessor-version":[{"id":987666590,"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/documents\/987666543\/revisions\/987666590"}],"wp:attachment":[{"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/media?parent=987666543"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/categories?post=987666543"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/tags?post=987666543"},{"taxonomy":"document_type","embeddable":true,"href":"https:\/\/p4h.world\/en\/wp-json\/wp\/v2\/document_type?post=987666543"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Findings<\/h6>\n
Conclusions<\/h6>\n