Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data
Abstract Background Health outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate wi...
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| Format: | Article |
| Language: | English |
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BMC
2021-01-01
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| Series: | International Journal for Equity in Health |
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| Online Access: | https://doi.org/10.1186/s12939-020-01376-0 |
| _version_ | 1818329547049795584 |
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| author | Veenapani Rajeev Verma Umakant Dash |
| author_facet | Veenapani Rajeev Verma Umakant Dash |
| author_sort | Veenapani Rajeev Verma |
| collection | DOAJ |
| description | Abstract Background Health outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate with its policy objectives in India. Thus, our paper aims to examine the magnitude of and trends in horizontal inequities in self-reported morbidity and untreated morbidity in India over the period of 2004 to 2017–18. Methods The study used cross-sectional data from nationwide healthcare surveys conducted in 2004, 2014 and 2017–18 encompassing sample size of 3,85,055; 3,35,499 and 5,57,887 individuals respectively. Erreygers concentration indices were employed to discern the magnitude and trend in horizontal inequities in self-reported morbidity and untreated morbidity. Need standardized concentration indices were further used to unravel the inter-regional and intra-regional income related inequities in outcomes of interest. Additionally, regression based decomposition approach was applied to ascertain the contributions of both legitimate and illegitimate factors in the measured inequalities. Results Estimates were indicative of profound inequities in self-reported morbidity as inequity indices were positive and significant for all study years, connoting better-off reporting more morbidity, given their needs. These inequities however, declined marginally from 2004(HI: 0.049, p< 0.01) to 2017–18(HI: 0.045, P< 0.01). Untreated morbidity exhibited pro-poor inequities with negative concentration indices. Albeit, significant reduction in horizontal inequity was found from 2004(HI= − 0.103, p< 0.01) to 2017–18(HI = − 0.048, p< 0.01) in treatment seeking over the years. The largest contribution of inequality for both outcomes stemmed from illegitimate variables in all the study years. Our findings also elucidated inter-state heterogeneities in inequities with high-income states like Andhra Pradesh, Kerala and West Bengal evincing inequities greater than all India estimates and Northeastern states divulged equity in reporting morbidity. Inequities in untreated morbidity converged for most states except in Punjab, Chhattisgarh and Himachal Pradesh where widening of inequities were observed from 2004 to 2017–18. Conclusions Pro-rich and pro-poor inequities in reported and untreated morbidities respectively persisted from 2004 to 2017–18 despite reforms in Indian healthcare. Magnitude of these inequities declined marginally over the years. Health policy in India should strive for targeted interventions closing inequity gap. |
| first_indexed | 2024-12-13T12:49:47Z |
| format | Article |
| id | doaj.art-9e759f79c3f24eaea68ed12e4a665292 |
| institution | Directory Open Access Journal |
| issn | 1475-9276 |
| language | English |
| last_indexed | 2024-12-13T12:49:47Z |
| publishDate | 2021-01-01 |
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| series | International Journal for Equity in Health |
| spelling | doaj.art-9e759f79c3f24eaea68ed12e4a6652922022-12-21T23:45:22ZengBMCInternational Journal for Equity in Health1475-92762021-01-0120112110.1186/s12939-020-01376-0Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey DataVeenapani Rajeev Verma0Umakant Dash1Department of Humanities and Social Sciences, Indian Institute of Technology MadrasDepartment of Humanities and Social Sciences, Indian Institute of Technology MadrasAbstract Background Health outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate with its policy objectives in India. Thus, our paper aims to examine the magnitude of and trends in horizontal inequities in self-reported morbidity and untreated morbidity in India over the period of 2004 to 2017–18. Methods The study used cross-sectional data from nationwide healthcare surveys conducted in 2004, 2014 and 2017–18 encompassing sample size of 3,85,055; 3,35,499 and 5,57,887 individuals respectively. Erreygers concentration indices were employed to discern the magnitude and trend in horizontal inequities in self-reported morbidity and untreated morbidity. Need standardized concentration indices were further used to unravel the inter-regional and intra-regional income related inequities in outcomes of interest. Additionally, regression based decomposition approach was applied to ascertain the contributions of both legitimate and illegitimate factors in the measured inequalities. Results Estimates were indicative of profound inequities in self-reported morbidity as inequity indices were positive and significant for all study years, connoting better-off reporting more morbidity, given their needs. These inequities however, declined marginally from 2004(HI: 0.049, p< 0.01) to 2017–18(HI: 0.045, P< 0.01). Untreated morbidity exhibited pro-poor inequities with negative concentration indices. Albeit, significant reduction in horizontal inequity was found from 2004(HI= − 0.103, p< 0.01) to 2017–18(HI = − 0.048, p< 0.01) in treatment seeking over the years. The largest contribution of inequality for both outcomes stemmed from illegitimate variables in all the study years. Our findings also elucidated inter-state heterogeneities in inequities with high-income states like Andhra Pradesh, Kerala and West Bengal evincing inequities greater than all India estimates and Northeastern states divulged equity in reporting morbidity. Inequities in untreated morbidity converged for most states except in Punjab, Chhattisgarh and Himachal Pradesh where widening of inequities were observed from 2004 to 2017–18. Conclusions Pro-rich and pro-poor inequities in reported and untreated morbidities respectively persisted from 2004 to 2017–18 despite reforms in Indian healthcare. Magnitude of these inequities declined marginally over the years. Health policy in India should strive for targeted interventions closing inequity gap.https://doi.org/10.1186/s12939-020-01376-0Horizontal inequitiesErreygers concentration indexSelf-reported morbidityUntreated morbidityDecomposition of inequalitiesNational Sample Survey Data |
| spellingShingle | Veenapani Rajeev Verma Umakant Dash Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data International Journal for Equity in Health Horizontal inequities Erreygers concentration index Self-reported morbidity Untreated morbidity Decomposition of inequalities National Sample Survey Data |
| title | Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data |
| title_full | Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data |
| title_fullStr | Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data |
| title_full_unstemmed | Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data |
| title_short | Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data |
| title_sort | horizontal inequity in self reported morbidity and untreated morbidity in india evidence from national sample survey data |
| topic | Horizontal inequities Erreygers concentration index Self-reported morbidity Untreated morbidity Decomposition of inequalities National Sample Survey Data |
| url | https://doi.org/10.1186/s12939-020-01376-0 |
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