How a low income state of India managed the unemployment situation during COVID-19? Lessons for future pandemic management.

Background: The partial and complete lockdown to curb the spread of COVID-19 caused enormous economic and social disruptions throughout the world. India witnessed the sharpest decline in its Gross Domestic Product (GDP), and the unemployment rate rose sharply in the first quarter of 2020-21. Odisha, one of the low income states of India, has faced a steep rise in unemployment, with lakhs of migrant workers returning to the state. This article attempts to examine Odisha's unemployment situation compared to the low-income states of India as well as with the national average during COVID-19. This also investigates to what extent the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) provided relief to the people by providing short-term employment opportunities. Design: This is a descriptive study and is based upon repetitive cross sectional secondary data on unemployment rate and labour force participation rate across the low-income states of India. Method: The study used descriptive statistics to analyze the secondary data from the Center for Monitoring Indian Economy (CMIE) and MGNREGA report. The labour force participation rate (LFPR) and unemployment rate (UER) data were collected from the CMIE trimester reports. The information related to number days of employment demanded and employment provided were collected from the MGNREGA reports. Total time period was divided in to two parts - 2017-19 pre pandemic period and 2020-2021 pandemic period. Results: The analysis of UER revealed that the unemployment situation in Odisha was better than the low-income states and overall India. The UER during COVID-19 (Sep-Dec 2020 to Sep-Dec 2021) was lower than the pre COVID-19 level in Odisha (1.6% in Sep-Dec 2020), compared to all India, where this was more than the pre-COVID-19 level (7.4% in Sep-Dec 2020). Odisha government had nearly doubled the employment generation through MGNREGA during 2020-21.The state government undertook a number of proactive measures - increasing wage rate, providing extra days of work in vulnerable districts to address the unemployment situation during the pandemic. Conclusion: The state government's effort to manage the livelihood crisis was notable during the pandemic.. Proper implementation of the wage employment programmes led to higher decline in the UER in Odisha compared to other states These experiences can be emulated by other states or countries.

Costs and models used in the economic analysis of Total Knee Replacement (TKR): A systematic review.

OBJECTIVES: The main objective of this review is to summarize the evidence on the core modelling specifications and methodology on the cost-effectiveness of TKR compared to non-surgical management. Another objective of this study is to synthesize evidence of TKR cost and compare it across countries using purchasing power parity (PPP). METHODOLOGY: The electronic databases used for this review were MEDLINE (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), HTAIn repository, Cost effectiveness Analysis (CEA) registry, and Google Scholar. Consolidated Health Economic Evaluation Reporting Standards (CHEERS) was used to assess the validity of the methods and transparency in reporting the results. The Quality of Health Economic Studies (QHES) was used to check the quality of economic evaluation models of the studies included. The cost of TKR surgery from high income and low- or middle-income countries were extracted and converted to single USD ($) using purchasing power parities (PPP) method. RESULT: Thirty-two studies were included in this review, out of which eight studies used Markov model, five used regression model, one each reported Marginal structure model, discrete simulation model, decision tree and Osteoarthritis Policy Model (OAPol) respectively to assess the cost-effectiveness of TKR. For PPP, twenty-six studies were included in the analysis of TKR cost. The average cost of TKR surgery was the lowest in developing country-India ($3457) and highest in USA ($19568). CONCLUSION: The findings of this review showed that the Markov model was most widely used in the analysis of the cost effectiveness of TKR. Our review also concluded that the cost of TKR was higher in the developed countries as compared to the developing countries.

Role of multiresolution vulnerability indices in COVID-19 spread in India: a Bayesian model-based analysis.

OBJECTIVES: COVID-19 has differentially affected countries, with health infrastructure and other related vulnerability indicators playing a role in determining the extent of its spread. Vulnerability of a geographical region to COVID-19 has been a topic of interest, particularly in low-income and middle-income countries like India to assess its multifactorial impact on incidence, prevalence or mortality. This study aims to construct a statistical analysis pipeline to compute such vulnerability indices and investigate their association with metrics of the pandemic growth. DESIGN: Using publicly reported observational socioeconomic, demographic, health-based and epidemiological data from Indian national surveys, we compute contextual COVID-19 Vulnerability Indices (cVIs) across multiple thematic resolutions for different geographical and spatial administrative regions. These cVIs are then used in Bayesian regression models to assess their impact on indicators of the spread of COVID-19. SETTING: This study uses district-level indicators and case counts data for the state of Odisha, India. PRIMARY OUTCOME MEASURE: We use instantaneous R (temporal average of estimated time-varying reproduction number for COVID-19) as the primary outcome variable in our models. RESULTS: Our observational study, focussing on 30 districts of Odisha, identified housing and hygiene conditions, COVID-19 preparedness and epidemiological factors as important indicators associated with COVID-19 vulnerability. CONCLUSION: Having succeeded in containing COVID-19 to a reasonable level during the first wave, the second wave of COVID-19 made greater inroads into the hinterlands and peripheral districts of Odisha, burdening the already deficient public health system in these areas, as identified by the cVIs. Improved understanding of the factors driving COVID-19 vulnerability will help policy makers prioritise resources and regions, leading to more effective mitigation strategies for the present and future.

Resource flow and fund management at district level in Odisha: Evidence for improving district health systems in developing countries.

Planning, budgeting and utilisation of resources at the district level are critical issues for strengthening district health systems. The objectives of this study are to examine budget making, budget execution and budget monitoring processes at the district level; analyse the trend and pattern of public health expenditure at district level. Two districts based on district development index were selected. A mixed-method study design, both quantitative and qualitative, was used. Quantitative data on resource allocations and utilisation by the government for health were collected and analysed. Qualitative interviews were conducted with government officials to examine budget making, execution and monitoring processes. Resources are transferred through treasury and state health society (SHS) to public health institutions at the district level. Bottom-up planning process is mainly followed for money routed through SHS constituting 36%-40% of total district spending. It takes around 21 days to transfer funds from the treasury to the SHS and the district gets a major proportion of total funds within 10-15 days. Overall, utilisation of resources is around 80%-85% under treasury and 71%-85% under National Health Mission. However, utilisation for specific programmes, non-communicable diseases, is extremely low. Multiple bank accounts, number of rules and regulations at each layer of administration make the system complex. There is a lack of integration of different programmes at the district and below. This study suggests to get rid of input-based budgeting gradually and introduce outcome-based budgeting to increase efficiency.

Effect of caste on health, independent of economic disparity: evidence from school children of two rural districts of India.

Caste, a stratifying axis of the Indian society, is associated with wealth and health. However, to what extent caste-based health inequality is explained by wealth disparities, is not clear. Therefore, we aimed to examine the caste-based differences in anaemia (haemoglobin < 11 gm/dl) and self-reported sickness absenteeism in schoolchildren and the mediating role of economic disparity. Students (n = 1764) were surveyed from 54 government schools of Dhenkanal and Angul, Odisha state. Socioeconomic data, anaemia and absenteeism were recorded. The relative risks of anaemia among Scheduled Tribe (least advantaged) and Scheduled Caste (second least advantaged) students were 1.19 (95% CI: 1.08, 1.26) and 1.13 (1.03, 1.20), respectively, as compared to students of the most advantaged caste and that for sickness absenteeism were 2.78 (2.03, 3.82) and 2.84 (2.13, 3.78); p < 0.05, with marginal attenuation when controlled for inter-caste economic disparities. Caste had an independent effect on anaemia and sickness absenteeism in school children, unexplained by inter-caste economic disparities.

Can telemedicine initiative be an effective intervention strategy for improving treatment compliance for pediatric HIV patients: Evidences on costs and improvement in treatment compliance from Maharashtra, India.

BACKGROUND: India has recently introduced telemedicine initiatives to enhance access to specialized care at a low cost for the pediatric HIV patients, who face multiple challenges due to growing disease burden and limited preparedness of the health system to address it. There are limited evidences on the cost-effectiveness of these interventions. This study was undertaken in Maharashtra, a province, located in the western region of the country, to inform policy regarding the effectiveness of this programme. The objective was to estimate the unit cost of ART services for pediatric HIV patients and examine the efficiency in the use of resource and treatment compliance resulting from telemedicine initiatives in pediatric HIV compared to usual ART services. METHODS: We selected 6 ART centers (3 from linked centers linked to Pediatric HIV Centre of Excellence (PCoE) and 3 from non-linked centers) randomly from three high, middle and low ART centers, categorized on the basis of case load in each arm. A bottom up costing methodology was adopted to understand the unit cost of services. Loss to follow up and timeliness of the visits were compared between the two arms and were linked to the cost. RESULTS: The average cost per-visit was INR 1803 in the linked centers and that for the non-linked centers was INR 3412. There has been 5 percentage point improvement in lost to follow-up in the linked centers compared to non-linked centers against a back-drop of a reduction in per-pediatric patient cost of INR 557. The linkage has resulted in increase in timeliness of the visits in linked centers compared to non-linked centers. DISCUSSION AND CONCLUSION: The telemedicine linkage led to an increase in the case load leading to a decrease in cost. The evidence on efficiency in the use of resource and improvement in treatment compliance as suggested by this study could be used to scale up this initiative.

Has the Public Health System Provided Adequate Financial Risk Protection for Child Birth Conditions - Evidences From an Eastern Indian State.

Over the years, national and sub-national governments have introduced several initiatives to improve access to maternal and child health services in India. However, financial barriers have posed major constraints. Based upon the data of National Family Health Survey (NFHS) round 4 for Odisha state, our paper examines the out-of-pocket expenditure (OOPE) borne by households for accessing maternal and child healthcare services in a low resource setting of India. We have interpreted results of NFHS-4 by drawing inferences from literature for understanding the rising OOPE in the public health system. Findings suggests that OOPE is considerably high for maternal and child health conditions in Odisha and ranks fifth, despite the coverage of 72% women under Janani Suraksha Yojana (JSY), a condition cash transfer scheme with majority utilizing the public health system. The high OOPE on child delivery raises numerous pertinent questions about the effectiveness of the public health delivery system, and thus requires financial protection in the interest of the population that accesses public health systems in the state.

Does public health system provide adequate financial risk protection to its clients? Out of pocket expenditure on inpatient care at secondary level public health institutions: Causes and determinants in an eastern Indian state.

This study is undertaken to estimate the out of pocket expenditure (OOPE) for various diseases and its determinants at secondary level public health facilities in Odisha. METHODS: A cross-sectional survey was conducted among the inpatients utilising secondary level public health facilities in the 2 districts of Odisha. More than 80% of the inpatients were selected conveniently, and data on OOPE and socioeconomic status of patients were collected. The OOPE was estimated separately on surgery, nonsurgery, and child birth conditions. Ordinary least square regression models were developed to explain the factors determining OOPE. RESULTS: The mean OOPE for the secondary care facility was Indian National Rupee 3136.14, (95% CI: 2869.08-3403.19), of which, Indian National Rupee 1622.79 (95% CI: 1462.70-1782.89) was on medicine constituting 79% of total medical expenditure. The mean OOPE on surgery was highest followed by nonsurgery and child birth conditions. The OOPE is mainly influenced by caste and educational status of patients as revealed by the regression results. With increase in social status, the OOPE increases and the results are statistically significant. CONCLUSION: This evidence should be used to design financial strategies to reduce OOPE at secondary care public health facilities, which is largely due to medicine, diagnostic services, and transport expenditure. Efforts should be made to protect the interest of the poor, who utilise public health facility in a low resource setting in India.

Out-of-pocket expenditure and drug adherence of patients with diabetes in Odisha.

INTRODUCTION: The burden of diabetes mellitus (DM) is increasing in India and across states. Given the chronic and progressive nature of the disease, it implicates huge financial burden on patients. Given this, the objectives of this study are to estimate the out-of-pocket (OOP) expenditure on diabetes care and assess the magnitude of medication adherence among patients in a public hospital. MATERIALS AND METHODS: A cross-sectional survey was conducted among 206 patients with age ≥25 years visiting the outpatient department of a tertiary care hospital in Odisha. Cost data were collected from April to June 2016 using a structured questionnaire, and drug adherence was assessed using the Morisky Medication Adherence Scale. RESULTS: The average total expenditure per patient per month was INR 1265 (95% confidence interval 1178-1351), of which medical expenditure was INR 993 (95 confidence interval 912-1075) and that of nonmedical expenditure was INR 271 (95 confidence interval 251-292). Expenditure on medicine constituted around 65% of total medical expenditure. The other drivers of medical expenditure were diagnostics services constituting 13.2% and transportation (11.8%). Overall, only 15% of the patients reported high adherence to medication. DISCUSSION: This study generated evidence on OOP expenditure on diabetics in Odisha which are comparable to many Indian studies. One of the critical findings of this study was that a majority of patients visiting public hospitals had to spend OOP on medicine and diagnostic services. These findings could be used to design appropriate financing strategies to protect the interest of the poor who largely use public health facility in Odisha.

Does spending matters? Re-looking into various covariates associated with Out of Pocket Expenditure (OOPE) and catastrophic spending on accidental injury from NSSO 71st round data.

BACKGROUND: Accidental Injury is a traumatic event which not only influences physical, psychological, and social wellbeing of the households but also exerts extensive financial burden on them. Despite the devastating economic burden of injuries, in India, there is limited data available on injury epidemiology. This paper aims to, first, examine the socio-economic differentials in Out of Pocket Expenditure (OOPE) on accidental injury; second, to look into the level of Catastrophic Health Expenditure (CHE) at different threshold levels; and last, to explore the adjusted effect of various socio-economic covariates on the level of CHE. METHODS: Data was extracted from the key indicators of social consumption in India: Health, National Sample Survey Organisation (NSSO), conducted by the Government of India during January-June-2014. Logistic regression analysis was employed to analyse the various covariates of OOPE and CHE associated to accidental injury. FINDINGS: Binary Logistic analysis has demonstrated a significant association between socioeconomic status of the households and the level of OOPE and CHE on accidental injury care. People who used private health services incurred 16 times higher odds of CHE than those who availed public facilities. The result shows that if the person is covered via any type of insurance, the odd of CHE was lower by about 28% than the uninsured. Longer duration of stay and death due to accidental injury was positively associated with higher level of OOPE. Economic status, nature of healthcare facility availed and regional affiliation significantly influence the level of OOPE and CHE. CONCLUSION: Despite numerous efforts by the Central and State governments to reduce the financial burden of healthcare, large number of households are still paying a significant amount from their own pockets. There are huge differentials in cost for the treatment among public and private healthcare providers for accidental injury. It is expected that the findings would provide insights into the prevailing magnitude of accidental injuries in India, the profile of the population affected, and the level of OOPE among households.

Out of pocket expenditure on surgical and nonsurgical conditions in Odisha.

BACKGROUND: Out of pocket expenditure (OOPE) for any illness is still a major problem in India. Several evidence is available regarding growing OOPE and its impact on household poverty. However, limited evidence is there regarding OOPE on multiple disease conditions in public hospitals. AIM: To estimate the OOPE for various hospitalized conditions at the secondary level of care in Odisha and find out various financial coping mechanisms adopted by the patients. METHODS: The primary survey was done in the secondary care hospitals in the two districts of Odisha using a semi-structured interview schedule. Data were collected from 284 subjects (212 males, 72 females) in 2014 on the socioeconomic status and OOPE on multiple disease conditions. Descriptive statistics using Stata Version 11 were used to estimate the results. RESULTS: The mean total OOPE was Indian Rupees (INR) 2107 (95% confidence interval [CI]: 1788-2426) for single episode of hospitalization out of which medical expenditure was INR 1530 (95% CI: 1238-1821) and nonmedical expenditure was INR 577 (95% CI: 501-653). The OOPE on surgical conditions was 1.7 times more than the nonsurgical conditions. Drugs and diagnostics were the major components of hospital expenditure, whereas the share of transportation expenditure was more in the nonmedical expenditure. Further, most of the patients had to face hardship financing due to limited financial protection measures. CONCLUSIONS: With the growing debate on the rolling out of universal health insurance scheme in India, this study assumes significance by providing critical information for designing public financing strategies to protect the interest of the poor in public health care institutions.

Estimating financial resources for universal access to sexual reproductive health care: Evidence from two states in India.

UNLABELLED: India has made insignificant progress towards achieving universal access to sexual and reproductive health (SRH). One of the key inputs for achieving universal access to SRH is financial resources. Given this, many international agencies including the UN are emphasising on monitoring the financial progress towards achieving SRH. OBJECTIVE: To generate evidence on spending on SRH from various sources - (government, household, international donors and NGOs) to improve the accountability of the government towards SRH goal. METHODOLOGY: Adapting a sub account framework of the NHA, this paper investigated the SRH expenditure of the two divergent states of India. The data were collected from government, households (NSSO), and foreign donors and were classified as per the International Classification of Health Accounts (ICHA). RESULTS AND DISCUSSIONS: Total SRH expenditure is less than one percent of SGDP from all sources in each state. Among the sources, government's spending on SRH is more than household. A large part of household spending is on curative care which has implications for accessing services by the poor. In spite of data constraints, this paper presents a comprehensive analysis on SRH spending, which is critical for monitoring the commitment towards universal access to SRH. This evidence can be used for further improving data quality for RCH account in LMICs.