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Background: Nonpharmacological interventions, such as personal protective equipment for example, surgical masks and respirators, and maintenance of hand hygiene along with COVID-19 vaccines have been recommended to reduce viral transmission in the community and health care settings. There is evidence from the literature that surgical and N95 masks may reduce the initial degree of exposure to the virus. A limited research that has studied the cost-effective analysis of surgical masks and N95 masks among health care workers in the prevention of COVID-19 in India. The objective of this study was to estimate the cost-effectiveness of N95 and surgical mask compared to wearing no mask in public hospital settings for preventing COVID-19 infection among Health care workers (HCWs) from the health care provider's perspective. Methods: A deterministic baseline model, without any mask use, based on Eikenberry et al was used to form the foundation for parameter estimation and to estimate transmission rates among HCWs. Information on mask efficacy, including the overall filtering efficiency of a mask and clinical efficiency, in terms of either inward efficiency(ei) or outward efficiency(e0), was obtained from published literature. Hospitalized HCWs were assumed to be in one of the disease states i.e., mild, moderate, severe, or critical. A total of 10,000 HCWs was considered as representative of the size of a tertiary care institution HCW population. The utility values for the mild, moderate and severe model health states were sourced from the primary data collection on quality-of-life of HCWs COVID-19 survivors. The utility scores for mild, moderate, and severe COVID-19 conditions were 0.88, 0.738 and 0.58, respectively. The cost of treatment for mild sickness (6,500 INR per day), moderate sickness (10,000 INR per day), severe (require ICU facility without ventilation, 15,000 INR per day), and critical (require ICU facility with ventilation per day, 18,000 INR) per day as per government and private COVID-19 treatment costs and capping were considered. One way sensitivity analyses were performed to identify the model inputs which had the largest impact on model results. Results: The use of N95 masks compared to using no mask is cost-saving of $1,454,632 (INR 0.106 billion) per 10,000 HCWs in a year. The use of N95 masks compared to using surgical masks is cost-saving of $63,919 (INR 0.005 billion) per 10,000 HCWs in a year. the use of surgical masks compared to using no mask is cost-saving of $1,390,713 (INR 0.102 billion) per 10,000 HCWs in a year. The uncertainty analysis showed that considering fixed transmission rate (1.7), adoption of mask efficiency as 20%, 50% and 80% reduces the cumulative relative mortality to 41%, 79% and 94% respectively. On considering ei = e0 (99%) for N95 and surgical mask with ei = e0 (90%) the cumulative relative mortality was reduced by 97% and the use of N95 masks compared to using surgical masks is cost-saving of $24,361 (INR 0.002 billion) per 10,000 HCWs in a year. Discussion: Both considered interventions were dominant compared to no mask based on the model estimates. N95 masks were also dominant compared to surgical masks. [ABSTRACT FROM AUTHOR]

Introduction India aims to achieve universal health coverage, with a focus on equitable delivery of services. There is significant evidence on extent of inequities by income status, gender and caste. In this paper, we report geographic inequities in coverage of reproductive, maternal and child health (MCH) services in Haryana state of India. Methods Cross-sectional data on utilization of maternal, child health and family planning services were collected from 12,191 women who had delivered a child in the last one year, 10314 women with 12-23 months old child, and 45864 eligible couples across all districts in Haryana state. Service coverage was assessed based on eight indicators - 6 for maternal health, one for child health and one for family planning. Inter- and intra-district inequalities were compared based on four and three indicators respectively. Results Difference in coverage of full ante-natal care, full immunization and contraceptive prevalence rate between districts performing best and worst was found to be 54%, 65% and 63% respectively. More than one-thirds of the sub-centres (SCs) in Panchkula, Ambala, Gurgaon and Mewat districts had their ante-natal care coverage less than 50% of the respective district average. Similarly, a significant proportion of SCs in Mewat, Panipat and Hisar districts had full immunization rate below 50% of the district average. Conclusion Widespread inter- and intra-district inequities in utilization of MCH services exist. A comprehensive geographical targeting to identify poor performing districts, community development blocks and SCs could result in significant equity gains, besides contributing to quick achievement of sustainable development goals., Author(s): Shankar Prinja [sup.1] , Deepak Balasubramanian [sup.1] , Atul Sharma [sup.1] , Rakesh Gupta [sup.2] , Saroj Kumar Rana [sup.1] , Rajesh Kumar [sup.1] Author Affiliations: (Aff1) 0000 0004 [...]

Background: Urban poor face a disproportionate burden of ill health and high out-of-pocket expenditure (OOPE), creating a severe unmet need for affordable and quality health care. This article highlights the impact of health insurance on OOPE and catastrophic healthcare expenditure among the urban poor of India. Methods: The study uses randomly collected household data from a baseline survey conducted in the states of Rajasthan and Uttar Pradesh. Separate Insurance impact models have been generated for the analysis. Results: Mean out-of-pocket health expenses is higher in the private health facility for the inpatient care but in case of outpatient care, the expenditure was more in public. Expenditure on medicine constitutes the largest part of the total OOPE. Insurance impact model shows that coverage on medicine alone can reduce medical impoverishment by 85% in the case of Outpatient Deparment (OPD) and 71% in the case of Inpatient Department (IPD). The urban poor preferred private facility for treatment in case of illness, albeit when it comes to delivery, they prefer public facility Conclusions: Study findings indicate overt reliance on private health care must be regulated, to reduce OOPE among the urban poor. Also, effective universal health insurance can go a long way in reducing the OOPE with availability of free medicines and diagnostics in the public health facilities. [ABSTRACT FROM AUTHOR]