King et al acknowledged that their assessment of the Mexican Seguro Popular programme at 10 months published in the Lancet in [ 22 ], was undertaken at an early stage, but it was nevertheless recognised as having provided important evidence of impacts, albeit early ones. Sampling and data collection Our study design was based on repeated cross sectional surveys. In addition, we used income , residency and social group s for stratified analyses. Our findings showed that the inequity has also reduced among households which have not used the Aarogyasri scheme. The Government did not provide any funding, and had no role in study design, data collection, analysis, interpretation or reporting, or in submission decision. National Medical Journal of India.
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Aarogyasri
Available network of government hospitals do not have the requisite equipment or the facility or the specialist pool of doctors to meet the state wide requirement for the treatment of such diseases.
Aarogyasfi relative index of inequality compares the person with the lowest educational level with the individual with the highest educational attainment.
Education is known to have a causal effect on health [ 18 ]. Received May 27; Accepted Dec 8.
Our findings showed that the inequity has also reduced among households which have not used the Aarogyasri scheme. Views Read Edit View history.
The international literature on the impact of health financing schemes highlights literacy as a barrier, but does not explore further the relationship aarogyaari education and access to health care.
As the data was collected using a complex survey design, we took that also into consideration while calculating the ridit scores.
Aarogyasri - Wikipedia
The 'other excluded groups' referred to the category of 'other backward classes' used by the NSSO [ 12 ] see page 76 of the NSSO 60th Round Report aarogyasr in all national reports and documents reporting on social characteristics of the population, for example, the Twelfth Five Year Plan [ 9 ].
India's national Twelfth Five Year Plan —17 has proposed that the plethora of health financing schemes which have been implemented across the states should be 'thoroughly studied' so that the lessons could inform an evidence-based roadmap for universal health coverage [ 9 ]. It is generally assumed that in developing countries an increase in access to hospitalisation is a positive change, and likely to address previously unmet health care needs [ 21 ].
Catastrophe and impoverishment in paying for health care: The benefit to the family is on a floater basis i. Introduction In recognition of the importance of good health to economic and social development, universal health coverage has been placed high on the global political agenda in recent years. This is an open access article distributed under the terms of the Creative Commons Attribution License aaroyasri, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Financial assistance to a tune of Rs.
Rajiv Aarogyasri Community Health Insurance Scheme: Andhra Pradesh
All authors had full access rajjiv all the data including statistical reports and tables and can take responsibility for the integrity of the data and the accuracy of the data analysis. The government issues an Aarogyasri card and the beneficiary can use it at government and private hospitals to obtain services free of cost. The NSSO survey planning ensures equity of representation across the national socio-economic, demographic and geographic landscape.
Results Socio-demographic changes between and The population of Andhra Pradesh increased by more than 8. This article has been cited by other articles in PMC. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Our survey in included randomly selected households representative of all districts and rural and urban areas of the state in that year. The Government did not provide any funding, and had no role in study design, data collection, analysis, interpretation or reporting, or in submission decision. This should be quoted in any publication that makes use of the data.
The survey included those households which had benefitted from the Aarogyasri Scheme, as it is operational across the whole state. The authors rightly observed that characteristics such as 'the pervasiveness of discrimination of patients according to their literacy levels and whether they are aware that they are enrolled in the program' are unknown and may partly explain the lower level of impacts in the most deprived groups [ 7 ].
In the households that had availed of the Aarogyasri scheme for inpatient hospital care the reduction was more but the RII was not statistically significant RII 1.
YSRAHCT Home page - YSRAHCT-Government-of-A.P
Limitations of the Study Analyses of repeated cross sectional surveys aimed at assessing the impacts of interventions, assume that populations demonstrate similar characteristics prior to the start of the intervention, and that 'unobservables' follow a common trend; under such circumstances, any differences in changes observed over time between the population in and are attributable to the interventions.
Lack of education has been shown to be a key risk factor for 'catastrophic' health expenditure CHEin many countries including India. Our study has shown that universal access to education and refining the state sponsored Aarogyasri scheme to further improve health literacy have the synergistic potential to achieve social justice through equality of access to health care and reduced health expenditure in the future. This study has examined health related expenditure and behaviours at only two points in time.
Although odds ratios are commonly used as measures of association RIIs are not measuring association but a relative change.
Analyses of repeated cross sectional surveys aimed at assessing the impacts of interventions, assume that populations demonstrate similar characteristics prior to the start of the intervention, and that 'unobservables' follow a common trend; under such circumstances, any differences in changes observed over time between the population in and are attributable to the interventions.
The impact of universal coverage schemes in the developing world: Measuring Socio-economic Inequalities in Health.
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