scholarly journals Horizontal inequity in self-reported morbidity and untreated morbidity in India: Evidence from National Sample Survey Data

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Veenapani Rajeev Verma ◽  
Umakant Dash
Keyword(s):  
National Sample ◽  
Sample Survey ◽  
Horizontal Inequity ◽  
Cross Sectional ◽  
Decomposition Approach ◽  
Targeted Interventions ◽  
Healthcare Surveys ◽  
Sample Survey Data ◽  
Policy Objectives ◽  
Concentration Indices

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.

INFLUENCE OF WEATHER ON TEMPORARY AND PERMANENT MIGRATION IN RURAL INDIA

2013 ◽  
Vol 04 (02) ◽  
pp. 1350007 ◽  
Author(s):  
K. S. KAVI KUMAR ◽  
BRINDA VISWANATHAN
Keyword(s):  
National Sample ◽  
Sample Survey ◽  
Urban Migration ◽  
Temporary Migration ◽  
Urban Migrants ◽  
Wide Range ◽  
Permanent Migration ◽  
Sample Survey Data ◽  
Almost All ◽  
Temporary Migrants

While a wide range of factors influence rural–rural and rural–urban migration in developing countries, there is significant interest in analyzing the role of agricultural distress and growing inter-regional differences in fueling such movement. This strand of research acquires importance in the context of climate change adaptation. In the Indian context, this analysis gets further complicated due to the significant presence of temporary migration. This paper analyzes how weather and its variability affects both temporary and permanent migration in India using National Sample Survey data for the year 2007–2008. The paper finds that almost all of the rural–urban migrants are permanent. Only temperature plays a role in permanent migration. In contrast, many temporary migrants are rural–rural and both temperature and rainfall explain temporary migration.

The Cost of Being ‘Backward’ in India: Socio-religious Discrimination in the Labour Market

2021 ◽  
pp. 097370302110296
Author(s):  
Soumyajit Chakraborty ◽  
Alok K. Bohara
Keyword(s):  
Labour Market ◽  
Economic Cost ◽  
National Sample ◽  
Sample Survey ◽  
Religious Discrimination ◽  
Capital Endowment ◽  
Scheduled Castes ◽  
Sample Survey Data ◽  
The Cost ◽  
Human Capital Endowment

Being from backward castes, classes and Muslims in India has an economic cost associated with the nature of institutional discrimination. Using the 2011–2012 National Sample Survey data, this study identifies that caste and religion still rule the modern Indian labour market. We find that discrimination is evident in the socio-religious earnings gaps. While the parametric decompositions suggest that most of these gaps are due to differential human capital endowment, the nonparametric method almost evenly attributes inequality to discrimination and endowment. The results presented in this study suggest that discrimination against Scheduled Castes and Scheduled Tribes, Muslims and Other Backward Classes should be included in policy designs to promote equity in the Indian labour market.

scholarly journals Prevalence and types of sexual inactivity in Britain: analyses of national cross-sectional probability survey data

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e030708 ◽  
Author(s):  
Peter Ueda ◽  
Catherine H Mercer
Keyword(s):  
Survey Data ◽  
Sexual Experience ◽  
Early Adulthood ◽  
Well Being ◽  
Anal Intercourse ◽  
Sample Survey ◽  
Cross Sectional ◽  
Sample Survey Data ◽  
And Gender ◽  
The Life Course

ObjectivesTo examine how prevalence and context of sexual inactivity varies across the life-course, assess dissatisfaction with sex life among those who are sexually inactive and identify associations with factors that may represent reasons for sexual inactivity.DesignAnalysis of cross-sectional probability sample survey data.SettingBritish general population.Participants14 623 participants (n men: 6045 unweighted, 7245 weighted), aged 16–74 years, of the third National Survey of Sexual Attitudes and Lifestyles (Natsal-3), undertaken in 2010–2012.Main outcome measuresSexual inactivity, defined as not reporting oral, vaginal or anal intercourse in the past year and further categorised into those who were sexually inexperienced (had never had sex), single or in a relationship.ResultsOverall, 15.9% (weighted n 1155/7245) of men and 22.2% (1646/7410) of women were sexually inactive (p<0.001). The proportion of sexually inactive individuals who were sexually inexperienced was larger among men than women (26.3% (304/1155) vs 16.3% (268/1646)), while the proportion who were singles was larger among women (49.8% (820/1646) vs 40.4% (467/1155)). Sexual inexperience was the most common type of sexual inactivity in early adulthood, with this declining with age. A minority of those who had sexual experience but were sexually inactive—34.8% (293/842) of men and 23.6% (319/1349) of women—reported being dissatisfied with their sex lives. Associations with sexual inactivity was observed for a range of sociodemographics and sexual behaviours/attitudes, for example, religion, ethnicity, Body mass index, height, employment status and index of multiple deprivation; these associations varied by type of sexual inactivity and gender.ConclusionsWhile sex is important for well-being, a non-negligible proportion of the population at all ages are sexually inactive, yet many are not dissatisfied with their situation, with implications for sex and relationship counselling.

scholarly journals Rising Catastrophic Expenditure on Households Due to Tuberculosis: Is India Moving Away From the END-TB Goal?

2021 ◽  
Vol 9 ◽  
Author(s):  
Banuru Muralidhara Prasad ◽  
Jaya Prasad Tripathy ◽  
V. R. Muraleedharan ◽  
Jamhoih Tonsing
Keyword(s):  
Survey Data ◽  
Fold Increase ◽  
National Sample ◽  
Cash Transfer ◽  
Sample Survey ◽  
Catastrophic Expenditure ◽  
Inpatient Hospitalization ◽  
National Sample Survey ◽  
Sample Survey Data ◽  
Risk Protection

Introduction: One of the targets of the END-TB strategy is to ensure zero catastrophic expenditure on households due to TB. The information about household catastrophic expenditure is limited in India and, therefore difficult to monitor. The objective is to estimate household and catastrophic expenditure for Tuberculosis using national sample survey data.Methods: For arriving at out-of-pocket expenditure due to tuberculosis and its impact on households the study analyzed four rounds of National Sample Survey data (52nd round-1995–1996, 60th round-2004–2005, 71st round-2014–15, and 75th round 2017–2018). The household interview survey data had a recall period of 365 days for inpatient/ hospitalization and 15 days for out-patient care expenditure. Expenditure amounting to &gt;20% of annual household consumption expenditure was termed as catastrophic.Results: A 5-fold increase in median outpatient care cost in 75th round is observed compared to previous rounds and increase has been maximum while accessing public sector. The overall expense ratio of public v/s private is 1:3, 1:4, 1:5, and 1:5, respectively across four rounds for hospitalization. The prevalence of catastrophic expenditure due to hospitalization increased from 16.5% (52nd round) to 43% (71st round), followed by a decline to 18% in the recent 75th round.Conclusion: Despite free diagnostic and treatment services offered under the national program, households are exposed to catastrophic financial expenditure due to tuberculosis. We strongly advocate for risk protection mechanisms such as cash transfer or health insurance schemes targeting the patients of tuberculosis, especially among the poor.

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