Out-of-Pocket Expenditure and Catastrophic Health Spending on Maternity Care for Hospital Based Delivery Care in Empowered Action Group (EAG) States of India

Author(s):  
Shailendra Kumar ◽  
K. Anil Kumar
2021 ◽  
pp. 026010602098234
Author(s):  
Pradeep Kumar ◽  
Himani Sharma ◽  
Kamalesh Kumar Patel

Background: Despite various programmes initiated by the Government of India, the nutritional indicators are not encouraging, as several problems like undernutrition, malnutrition and anaemia – still persist in the country, especially in the Empowered Action Group (EAG) states. Aim: Because of the dearth of studies regarding anaemia among men in India, the present study aimed to determine its prevalence in this population in the EAG states and to analyse its geographical and socio-demographic determinants. Methods: The study utilized nationally representative, cross-sectional survey data from round 4 of the National Family Health Survey conducted in 2015–16. Bivariate analysis along with binary logistic regression were performed to assess the predictors of anaemia among men in the EAG states. Results: Around a quarter of the men in the EAG states suffered from anaemia. A similar high-prevalence pattern was observed across the EAG states. Wherein, Bihar and Jharkhand had the highest prevalence of anaemia while Uttarakhand showed the lowest. Age, place of residence, marital status and caste were positively associated with the likelihood of anaemia among men in the EAG states. Conclusions: Focusing on the EAG states, this study considered the severity of anaemia as a public health problem among men. Strategies to reduce the burden of anaemia among this population are needed. The government should formulate programmes targeting anaemia specifically, and improving the nutritional status among men in general in the EAG states.


2008 ◽  
Vol 40 (2) ◽  
pp. 183-201 ◽  
Author(s):  
PERIANAYAGAM AROKIASAMY ◽  
ABHISHEK GAUTAM

SummaryIn India, the eight socioeconomically backward states of Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Orissa, Rajasthan, Uttaranchal and Uttar Pradesh, referred to as the Empowered Action Group (EAG) states, lag behind in the demographic transition and have the highest infant mortality rates in the country. Neonatal mortality constitutes about 60% of the total infant mortality in India and is highest in the EAG states. This study assesses the levels and trends in neonatal mortality in the EAG states and examines the impact of bio-demographic compared with health care determinants on neonatal mortality. Data from India’s Sample Registration System (SRS) and National Family and Health Survey (NFHS-2, 1998–99) are used. Cox proportional hazard models are applied to estimate adjusted neonatal mortality rates by health care, bio-demographic and socioeconomic determinants. Variations in neonatal mortality by these determinants suggest that universal coverage of all pregnant women with full antenatal care, providing assistance at delivery and postnatal care including emergency care are critical inputs for achieving a reduction in neonatal mortality. Health interventions are also required that focus on curtailing the high risk of neonatal deaths arising from the mothers’ younger age at childbirth, low birth weight of children and higher order births with short birth intervals.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Gene F Kwan ◽  
Benito Isaac ◽  
Lily Yan ◽  
Waking Jean-Baptiste ◽  
Densa Belony ◽  
...  

Background: Noncommunicable diseases (NCDs) are a major and growing cause of death and disability in low-income countries, and contribute a substantial portion of outpatient clinic visits. Poverty can be a major barrier to accessing healthcare in rural low-income countries. The objective of this study is to describe the demographics and socioeconomic status of patients attending an NCD clinic in rural Haiti, where poverty is highly prevalent. Methods: We analyzed routinely collected clinic data from adult patients in rural Haiti presenting to the NCD clinic at Hôpital Universitaire de Mirebalais. We collected data during routine initial clinic visits from July 2013 through October 2016. We performed descriptive statistics to assess patient demographics and socioeconomic status using available data. We evaluated poverty based on the Multidimensional Poverty Index by evaluating 9 indicators within three dimensions: health, education, and standard of living - we did not assess electricity. We assessed deprivation within each indicator. The “poorest” patients were defined as those deprived in 4 of the 9 poverty indicators. We also assessed measures of catastrophic health spending. Results: A total of 518 adults were included, with 72% (373/508) women. The mean overall age was 52.8 years (SD 14.7) and 21% (108/518) were 40 years old or younger. Of the patients, 32% had only hypertension, 18% had only diabetes, 32% had both diabetes and hypertension, 5% had heart failure, and 13% had no recorded diagnosis. 45% of patients travel more than 1 hour for clinic visits. Almost half (49%, 146/296) of adults sold belongings and 61% (178/292) borrowed money to pay for healthcare. Among the poverty measures, the top indicators with deprivation were cooking fuel with charcoal or wood (96%, 290/302), child death in household (70%, 169/243), and no household members completing primary school (25%, 83/324), lack of household assets (25%, 79/313), poor sanitation (19%, 59/304), dirt floor (16%, 50/304), and lack of improved drinking water (9%, 29/308). Of all patients, 21% (78/378) were among the poorest. Throughout Haiti, however, 55% of the population are among the poorest. There were more patients among the poorest living closer to the hospital (27%) than living farther away (10%). Interpretation: The great majority of patients were middle-aged women, with predominantly hypertension and/or diabetes. Socioeconomic deprivation was high among many poverty indicators and most patients experienced catastrophic health spending. At this clinic in rural Haiti, the proportion of patients presenting for care who are among the poorest is less than that overall in Haiti. Patients who travel far distances have less poverty. Health systems for chronic disease management in rural low-income countries must account for patient poverty.


Social Change ◽  
2018 ◽  
Vol 48 (3) ◽  
pp. 367-383 ◽  
Author(s):  
Rabiul Ansary ◽  
Bhaswati Das

India remains home to 300 million people who live in extreme poverty and face multiple deprivations. Their homes lack basic services ranging from water, sanitation, electricity, health to education (Millennium Development Report, 2014). By mining the data available in the latest 2011 Census, this article attempts to provide a scheme of regionalisation on the basis of multi-dimensional deprivation of households across districts through an assessment of household dwelling characteristics, available basic amenities and assets possession. The study reveals that districts in the Empowered Action Group (EAG) states perform the worst, while states located in the western and southern part of India and their districts are comparatively better off. The analysis concludes that households deprived of good housing conditions and basic amenities, facilities essential for healthy and productive manpower, tend to be asset poor.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Viroj Tangcharoensathien ◽  
Kanjana Tisayaticom ◽  
Rapeepong Suphanchaimat ◽  
Vuthiphan Vongmongkol ◽  
Shaheda Viriyathorn ◽  
...  

Abstract Background Thailand, an upper-middle income country, has demonstrated exemplary outcomes of Universal Health Coverage (UHC). The country achieved full population coverage and a high level of financial risk protection since 2002, through implementing three public health insurance schemes. UHC has two explicit goals of improved access to health services and financial protection where use of these services does not create financial hardship. Prior studies in Thailand do not provide evidence of long-term UHC financial risk protection. This study assessed financial risk protection as measured by the incidence of catastrophic health spending and impoverishment in Thai households prior to and after UHC in 2002. Methods We used data from a 15-year series of annual national household socioeconomic surveys (SES) between 1996 and 2015, which were conducted by the National Statistic Office (NSO). The survey covered about 52,000 nationally representative households in each round. Descriptive statistics were used to assess the incidence of catastrophic payment as measured by the share of out-of-pocket payment (OOP) for health by households exceeding 10 and 25% of household total consumption expenditure, and the incidence of impoverishment as determined by the additional number of non-poor households falling below the national and international poverty lines after making health payments. Results Using the 10% threshold, the incidence of catastrophic spending dropped from 6.0% in 1996 to 2% in 2015. This incidence reduced more significantly when the 25% threshold was applied from 1.8 to 0.4% during the same period. The incidence of impoverishment against the national poverty line reduced considerably from 2.2% in 1996 to approximately 0.3% in 2015. When the international poverty line of US$ 3.1 per capita per day was applied, the incidence of impoverishment was 1.4 and 0.4% in 1996 and 2015 respectively; and when US$ 1.9 per day was applied, the incidence was negligibly low. Conclusion The significant decline in the incidence of catastrophic health spending and impoverishment was attributed to the deliberate design of Thailand’s UHC, which provides a comprehensive benefits package and zero co-payment at point of services. The well-founded healthcare delivery system and favourable benefits package concertedly support the achievement of UHC goals of access and financial risk protection.


2021 ◽  
Author(s):  
Manzoor Ahmad Malik ◽  
Saddaf Naaz Akhtar

AbstractHealth inequality in maternal health is one of the serious challenges currently faced by public health experts. Maternal mortality in Empowered Action Group (EAG) states is highest and so are the health inequalities prevalent. We have made a comprehensive attempt to understand maternal health inequality and the risk factors concerning the EAG states in India, using recent data of Demography Health Survey of India (2015-16). Bi-variate, multivariate logistic regression, and concentration indices were used. The study has measured the four outcome variables of maternal health namely antenatal care of at least 4 visits, institutional delivery, contraceptive use, and unmet need. The study revealed that better maternal health is heavily concentrated among the richer households, while the negative concentration index of unmet need clearly reflected the greater demand for higher unmet need among the poor households in the EAG states of India. Challenges of inequalities still persist at large in maternal health, but to achieve better health these inequalities must be reduced. Since inequality mainly affects the poor households due to a lower level of income. Therefore, specific measures must be taken from a demand-side perspective in order to enhance their income and reduce the disparities in the EAG states of India.


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