Rapid assessment of NCD services rollout in Health and Wellness Centres in North-Eastern Indian state: A cross- sectional study

Background: The creation of health and wellness centres (HWCs) to deliver comprehensive primary healthcare (CPHC) is a programmatic response to the changing demographic and epidemiological profile in India. Since the north-eastern (NE) states face distinct challenges to routine healthcare services, and it has been two years since the rollout of non-communicable disease (NCD) services through the HWCs, a rapid assessment of the rollout with respect to all components of CPHC was undertaken in the NE state of Manipur. Methods: The assessment was undertaken using a mixed methodology to assess the rollout of NCD services under CPHC based on the functionality criteria of HWCs. The districts and the facilities were sampled purposively using pre-defined criteria. Primary data were collected using adapted pre-tested semi-structured tools and an interview schedule, which were triangulated with facility-based records and field observations. The data were anonymized, analysed thematically and presented under the domains of CPHC. Results: The assessment aided in identifying progress and challenges in the rollout of NCD services through the HWCs. Overall, the initiative was successful in generating demand and community awareness of the expanded range of services at the primary level. Yet, constraints posed by infrastructural gaps, logistical delays, training gaps, fund flow and weak community-level convergence compounded by the COVID-19 pandemic challenged seamless NCD service delivery. Conclusion: In as much as the attainment of universal health coverage is dependent on NCD prevention and control, the rollout of NCD services is dependent on strong institutional structures, especially at the primary level. The assessment highlights the need to strengthen the HWCs through adequate financing, human resources, logistics for medicines and technology, community participation, citizen engagement and change management.

A systematic review of excess all-cause mortality estimation studies in India during COVID-19 pandemic.

Background: Mortality statistics are fundamental to understand the magnitude of the COVID-19 pandemic. Due to limitation of real-time data availability, researchers had used mathematical models to estimate excess mortality globally during COVID-19 pandemic. As they demonstrated variations in scope, assumptions, estimations, and magnitude of the pandemic, and hence raised a controversy all over the world. This paper aims to review the mathematical models and their estimates of mortality due to COVID-19 in the Indian context. Methods: The PRISMA and SWiM guidelines were followed to the best possible extent. A two-step search strategy was used to identify studies that estimated excess deaths from January 2020 to December 2021 on Medline, Google Scholar, MedRxiv and BioRxiv available until 0100 h, 16 May 2022 (IST). We selected 13 studies based on a predefined criteria and extracted data on a standardised, pre-piloted form by two investigators, independently. Any discordance was resolved through consensus with a senior investigator. Estimated excess mortality was analysed using statistical software and depicted using appropriate graphs. Results: Significant variations in scope, population, data sources, time period, and modelling strategies existed across studies along with a high risk of bias. Most of the models were based on Poisson regression. Predicted excess mortality by various models ranged from 1.1 to 9.5 million. Conclusion: The review presents a summary of all the estimates of excess deaths and is important to understand the different strategies used for estimation, and it highlights the importance of data availability, assumptions, and estimates.

Effect on essential health services during COVID-19 at the Primary level in India.

Background: Coronavirus diesease (COVID-19) led to increased demand on the Indian health system due to the pandemic as well as other communicable and non-communicable diseases. Guidance was thus issued by the Ministry of Health and Family Welfare (MoHFW), India, in April 2020 to maintain the delivery of essential health services. Objectives: To determine the extent of disruptions of essential healthcare services, identify associated factors, and establish pertinent correlations to address specific needs. Methods: The Mother and child tracking facilitation centre (MCTFC) conducted a telephonic survey with the front-line workers (FLWs) and beneficiaries in 21 Indian states. The sample size was determined using the infinite population sample size formula, and respondents were selected through a computer-generated random sequence technique. Data were quantitatively analysed using STATA-16. Descriptive univariate analysis was conducted using the Chi-square test. Findings: The majority of the essential health services were being satisfactorily delivered by FLWs (N = 1596; accredited social health activist (ASHA) = 798, auxiliary nurse midwife (ANM) = 798), where most of the beneficiaries (N = 1410; Pregnant Women = 708, Postnatal Women = 702) continued accessing services with minor issues concerning referral transport. FLWs reported issues in the provisioning of medicines (P = 0.000) for patients with non-communicable diseases and more ANMs than ASHAs reported it. FLWs commonly experienced challenges in extending services due to community resistance and unavailability of general health services at healthcare facilities, where a greater number of ASHAs faced it (P = 0.000). Both FLWs and beneficiaries (N = 3006; FLWs = 1596, beneficiaries = 1410) demonstrated appropriate COVID-19 knowledge and behavior. Conclusion: Although overwhelmed, the Indian health system performed satisfactorily well during pandemic in terms of essential health services.

A rapid review of evidence on the determinants of and strategies for COVID-19 vaccine acceptance in low- and middle-income countries.

BACKGROUND: Vaccine acceptance and hesitancy among the general population and health care workers play an important role in successfully controlling the Coronavirus Disease (COVID)-19 pandemic. While there is evidence for vaccine hesitancy across the globe, wide variation in factors influencing vaccine acceptance has been reported, mainly from High-Income Countries (HIC). However, the evidence from Low- and Middle-Income Countries (LMICs) remains unclear. The objective of this review was to describe the determinants of vaccine acceptance and strategies to address those in an LMIC context. METHODS: The World Health Organization's (WHO) Measuring Behavioral and Social Drivers of Vaccination (BeSD) Increasing Vaccination Model was employed to identify factors that influenced vaccine acceptance. All evidence related to supply-side and demand-side determinants and social and health system processes were examined. A comprehensive search for published literature was conducted in three databases and grey literature in relevant websites of government, multinational agencies, and COVID-19 resource aggregators, followed by a narrative synthesis. RESULTS: Overall, the results showed that the vaccine acceptance rates differed across LMICs, with a wide variety of reasons cited for vaccine hesitancy. Vaccine acceptance was reportedly greater among males, those with higher education, elevated socio-economic status, the unmarried, those employed as health care workers. Evidence suggested that exposure to misinformation about COVID-19 vaccines and public concerns over the safety of vaccines may contribute to lower acceptance rates. Strategies to increase vaccine acceptance rates included direct engagement with communities through influencers, including community leaders and health experts; clear and transparent communication about COVID-19 vaccines, financial and non-financial incentives; and strong endorsement from health care workers. Trust in government was identified as a significant enabler of vaccine acceptance. CONCLUSIONS: There is a need for measures to address public acceptability, trust and concern over the safety and benefit of approved vaccines. Local context is essential to consider while developing programs to promote vaccine uptake. The governments worldwide also need to strategize to develop plans to address the anxiety and vaccine related concerns of community regarding vaccine hesitancy. There is a need for further research to evaluate strategies to address vaccine hesitancy in LMIC.