A scoping review of health systems resilience assessment frameworks.

Health system resilience is a prerequisite for effectively managing cataclysmic events adversely affecting health outcomes. The COVID-19 pandemic reasserted the importance of having resilient health systems and called for a relook at the existing framework that measures health system resilience. Mixed methods were used in this study. The review started with the measurement of health systems resilience and its context. Ebola epidemic triggered the importance, hence our search focused on published literature from 2014 to 2021. Based on the review, a semi-structured tool was developed for key in-depth interviews of seven experts from different countries. The frameworks focused on climate change, disaster management, health systems, city-specific resilience, and e-resilience were reviewed. In-depth interviews highlighted that resilient health systems need to engage the private sector, priority areas like leadership and governance, health resources, and a unified agenda for global collaboration. From experts' point of view, the inherent nature of health systems to respond to shock was clearly defined as the resilient health system. Health systems resilience definition needs to be defined, based on which assessment indicators will be identified. Indicators need to evolve continuously and be able to measure resilience at sub-national, national, regional, and global levels.

Has the Rajiv Aarogyasri Community Health Insurance Scheme of Andhra Pradesh Addressed the Educational Divide in Accessing Health Care?

BACKGROUND: Equity of access to healthcare remains a major challenge with families continuing to face financial and non-financial barriers to services. Lack of education has been shown to be a key risk factor for 'catastrophic' health expenditure (CHE), in many countries including India. Consequently, ways to address the education divide need to be explored. We aimed to assess whether the innovative state-funded Rajiv Aarogyasri Community Health Insurance Scheme of Andhra Pradesh state launched in 2007, has achieved equity of access to hospital inpatient care among households with varying levels of education. METHODS: We used the National Sample Survey Organization 2004 survey as our baseline and the same survey design to collect post-intervention data from 8623 households in the state in 2012. Two outcomes, hospitalisation and CHE for inpatient care, were estimated using education as a measure of socio-economic status and transforming levels of education into ridit scores. We derived relative indices of inequality by regressing the outcome measures on education, transformed as a ridit score, using logistic regression models with appropriate weights and accounting for the complex survey design. FINDINGS: Between 2004 and 2012, there was a 39% reduction in the likelihood of the most educated person being hospitalised compared to the least educated, with reductions observed in all households as well as those that had used the Aarogyasri. For CHE the inequality disappeared in 2012 in both groups. Sub-group analyses by economic status, social groups and rural-urban residence showed a decrease in relative indices of inequality in most groups. Nevertheless, inequalities in hospitalisation and CHE persisted across most groups. CONCLUSION: During the time of the Aarogyasri scheme implementation inequalities in access to hospital care were substantially reduced but not eliminated across the education divide. Universal access to education and schemes such as Aarogyasri have the synergistic potential to achieve equity of access to healthcare.

Private sector participation in delivering tertiary health care: a dichotomy of access and affordability across two Indian states.

UNLABELLED: Poor quality care in public sector hospitals coupled with the costs of care in the private sector have trapped India's poor in a vicious cycle of poverty, ill health and debt for many decades. To address this, the governments of Andhra Pradesh (AP) and Maharashtra (MH), India, have attempted to improve people's access to hospital care by partnering with the private sector. A number of government-sponsored schemes with differing specifications have been launched to facilitate this strategy. AIMS: This article aims to compare changes in access to, and affordability and efficiency of private and public hospital inpatient (IP) treatments between MH and AP from 2004 to 2012 and to assess whether the health financing innovations in one state resulted in larger or smaller benefits compared with the other. METHODS: We used data from household surveys conducted in 2004 and 2012 in the two states and undertook a difference-in-difference (DID) analysis. The results focus on hospitalization, out-of-pocket expenditure and length of stay. RESULTS: The average IP expenditure for private hospital care has increased in both states, but more so in MH. There was also an observable increase in both utilization of and expenditure on nephrology treatment in private hospitals in AP. The duration of stay recorded in days for private hospitals has increased slightly in MH and declined in AP with a significant DID. The utilization of public hospitals has reduced in AP and increased in MH. CONCLUSION: The state of AP appears to have benefited more than MH in terms of improved access to care by involving the private sector. The Aarogyasri scheme is likely to have contributed to these impacts in AP at least in part. Our study needs to be followed up with repeated evaluations to ascertain the long-term impacts of involving the private sector in providing hospital care.

Changes in addressing inequalities in access to hospital care in Andhra Pradesh and Maharashtra states of India: a difference-in-differences study using repeated cross-sectional surveys.

OBJECTIVES: To compare the effects of the Rajiv Aarogyasri Health Insurance Scheme of Andhra Pradesh (AP) with health financing innovations including the Rashtriya Swasthya Bima Yojana (RSBY) in Maharashtra (MH) over time on access to and out-of-pocket expenditure (OOPE) on hospital inpatient care. STUDY DESIGN: A difference-in-differences (DID) study using repeated cross-sectional surveys with parallel control. SETTING: National Sample Survey Organisation of India (NSSO) urban and rural 'first stratum units', 863 in AP and 1008 in MH. METHODS: We used two cross-sectional surveys: as a baseline, the data from the NSSO 2004 survey collected before the Aarogyasri and RSBY schemes were launched; and as postintervention, a survey using the same methodology conducted in 2012. PARTICIPANTS: 8623 households in AP and 10 073 in MH. MAIN OUTCOME MEASURES: Average OOPE, large OOPE and large borrowing per household per year for inpatient care, hospitalisation rate per 1000 population per year. RESULTS: Average expenditure, large expenditures and large borrowings on inpatient care had increased in MH and AP, but the increase was smaller in AP across these three measures. DIDs for average expenditure and large borrowings were significant and in favour of AP for the rural and the poorest households. Hospitalisation rates also increased in both states but more so in AP, although the DID was not significant and the subgroup analysis presented a mixed picture. CONCLUSIONS: Health innovations in AP had a greater beneficial effect on inpatient care-related expenditures than innovations in MH. The Aarogyasri scheme is likely to have contributed to these impacts in AP, at least in part. However, OOPE increased in both states over time. Schemes such as the Aarogyasri and RSBY may result in some positive outcomes, but additional interventions may be required to improve access to care for the most vulnerable sections of the population.

Using the Indian National Sample Survey data in public health research.

The National Sample Survey (NSS), instituted in 1950, was the brainchild of Professor Mahalanobis, widely regarded as the father of Indian statistics.1 His ambition was to obtain and quantify comprehensive information on an annual basis on the socio- economic, demographic, agricultural and other profiles of the country, both at the national and state levels. The NSS is a multi- stage, multi-subject and multi-purpose cross-sectional survey, which is conducted annually and covers topics of current interest.