Impact of COVID-19 Pandemic on Routine Immunization Among Tribal Children in Odisha: A Rapid Epidemiological Survey.

OBJECTIVE: To assess the impact of COVID-19 on immunization coverage and delayed vaccination among tribal children in the Khordha district of Odisha state. METHODS: A cross-sectional rapid epidemiological survey was conducted using a standard WHO (30 × 7) cluster survey with 30 tribal villages under the Community Health Centre (CHC), Mendhasala, Odisha, as clusters and seven children from each cluster. A total of 14 children from each cluster; seven each born in 2019 (2019 cohort) and 2020 (2020 cohort), amounting to 420 children were included. The dates of vaccination and related details were obtained from the mother and child protection cards alongside a pretested, semi-structured questionnaires administered to the mothers or primary caregivers. Immunization coverage and delayed vaccination rates were compared between the two cohorts. RESULTS: Full immunization coverage was 81.9% and 77.6% in the 2019 and 2020 cohorts, respectively. A significant decline in full immunization coverage was seen for 14 weeks (Pentavalent-3) vaccine in 2020 cohort (P = 0.01). The proportion of delayed vaccination for scheduled vaccines at birth, 6 weeks, 10 weeks, 14 weeks, and 9-12 months for 2019 cohort and 2020 cohort were 8.6%, 6.7%, 18.1%, 19.5%, 22.4%, and 21.9%, 26.7%, 30.5%, 19%, 16.2%, respectively. However, delayed vaccination rates among the 2019 and 2020 cohorts were not statistically significant. CONCLUSION: Our study findings showed a little decline in immunization coverage in tribal areas during the pandemic.

Socioeconomic gradient of lean diabetes in India: Evidence from National Family Health Survey, 2019-21.

Diabetes is a global public health challenge, particularly in India, affecting millions. Among diabetic patients, lean type 2 diabetes is a severe subtype with higher microvascular complication risks. While studies on the prevalence, variations and risk factors of diabetes are increasingly available, there has been limited research on the prevalence, variations, and socioeconomic disparities of lean diabetes in India. This study used NFHS-5 microdata, and lean diabetes is defined as those with a BMI level of under 25 and random blood glucose levels of over 200 or under diabetic medication. Descriptive and multivariate analyses were conducted to understand lean diabetes variations and related factors. Socioeconomic disparities were measured using concentration curves and the concentration index. The study unveiled important insights into lean diabetes in India. 8.2% of men and 6.0% of women had elevated blood glucose levels, indicating a significant diabetes burden. Notably, 2.9% of men and 2.4% of women were diagnosed with lean diabetes. Among type 2 diabetics, 52.56% of males and 43.57% of females had lean type 2 diabetes. Lean diabetes prevalence varied from 11.6% in the poorest quintile to 1.1% in the richest. The odds of lean type 2 diabetes among those in the poorest quintile was 6.7 compared to the richest quintile. The concentration index of lean type 2 diabetes was -0.42 for men and -0.39 for women, suggesting a disproportionate impact on lower socioeconomic groups. This study advances our understanding of the complex interplay between socioeconomic factors and lean type 2 diabetes in India. To address the rising burden of lean diabetes among lower socioeconomic strata, policymakers and healthcare professionals must prioritise initiatives enhancing healthcare access, promoting healthy lifestyles, and ensuring effective diabetes management. By addressing socioeconomic disparities and implementing interventions for vulnerable populations, India can reduce diabetes-related mortality and enhance its citizens' overall health.

India marching towards TB elimination: How far we are.

Tuberculosis continues to be the leading cause of death worldwide. India shares twenty five percent of total tuberculosis population. Programmatic approach to fight against tuberculosis started in this country in the form of National Tuberculosis Program (NTP). In due course of time India adopted many strategic changes in its fight against tuberculosis. The current program named National tuberculosis elimination program (NTEP) has been set up to eliminate TB by 2025. There are some challenges which India need to overcome to achieve its target five years ahead of the sustainable development goals. Insufficient budget, inadequate diagnostic facilities, under-reporting, low success rate, high dropout rate, social stigma are some of the major challenges in the path to achieve a TB elimination status. Besides that, all the backlogs demand for swift performance in identification, notification, and treatment of TB cases. India has all the potential to eliminate tuberculosis. Strengthening of health system, mainstreaming of private sectors, enhancing diagnostic facilities, inclusion of latest diagnostic techniques, addressing social hindrances, and advocacy for higher budget are some of the program strengthening measures, if followed properly, can take India towards a TB free status.

Prevalence of common mental disorders and treatment gap among patients with non-communicable diseases in the rural areas of East India.

BACKGROUND: Mental and physical non-communicable diseases (NCDs) coexist, because they share common environmental and behavioral risk factors. The treatment gap for common mental disorders, such as depression, anxiety, and substance use, is large compared to other NCDs. OBJECTIVE: To determine the prevalence and treatment gap of common mental disorders among patients with non-communicable diseases. METHODOLOGY: The community-based cross-sectional study was conducted in the rural parts of East India, in people aged 30 years and older with NCDs. A simple random sample was chosen to select the villages and participants. Eligible participants administered with screening and diagnostic questionnaire for depression, anxiety, and substance use. Those diagnosed with mental disorders were again assessed for treatment status in the last 12 months. Non-receipt of treatment was considered as treatment gap. RESULTS: A total of 515 participants were included in the analysis. The overall prevalence of common mental disorders among the study population was 46.4% (95% CI 42.0-50.8), and excluding substance use, the prevalence was 11.7% (95% CI 9.0-14.7). The treatment gap for common mental disorders among patients with non-communicable diseases, including and excluding substance use, was 98.3% (95% CI 95.8-99.5) and 93.3% (95% CI 83.8-98.2), respectively. CONCLUSION: The prevalence and treatment gap of common mental disorders among persons with NCDs was high. Public health interventions need to be emphasized for the integration of mental health care into NCD care.

Effectiveness of peer-led intervention in control of non-communicable diseases in rural areas of Khordha district: study protocol for a cluster randomized controlled trial.

BACKGROUND: The main contributors to death and disability from chronic illnesses in developing nations are elevated blood pressure (hypertension), blood sugar (diabetes mellitus), and blood cholesterol (dyslipidaemia). Even though there are affordable treatments, the treatment gap for these conditions is still significant. Few pilot studies from industrialized nations discuss the value of peer-led interventions for achieving community-level management of blood pressure and blood sugar. This study aims to evaluate the effectiveness of peer-led intervention compared to standard care in achieving control of selected non-communicable diseases (NCDs) in Indian context at 1 year of intervention among people of 30-60 years with hypertension and/or diabetes mellitus and/or dyslipidaemia. METHODS: A cluster-randomized controlled trial will be conducted in villages of two rural blocks of the Khordha district of Odisha from August 2023 to December 2024. A total of 720 eligible participants (360 in the intervention group and 360 in the control group) will be recruited and randomized into two study arms. The participants in the intervention arm will receive a peer-led intervention model for 6 months in addition to standard care. The sessions will be based on the six domains of NCDs - self-care, follow-up care, medication, physical activity, diet, limiting substance use, mental health and co-morbidities. The mean reduction in blood pressure, HbA1C, and blood cholesterol in the intervention arm compared to the standard care arm will be the main outcome. DISCUSSION: The increasing burden of NCDs demands for newer strategies for management. Peer-led interventions have proven to be useful at the international level. Incorporating it in India will have remarkable results in controlling NCDs. TRIAL REGISTRATION: Clinical Trial Registry of India (CTRI) CTRI/2023/02/050022. Registered on 23 February 2023.

Anti-SARS-CoV-2 antibody kinetics up to 6 months of follow-up: Result from a nation-wide population-based, age stratified sero-epidemiological prospective cohort study in India.

Repeated serological testing tells about the change in the overall infection in a community. This study aimed to evaluate changes in antibody prevalence and kinetics in a closed cohort over six months in different sub-populations in India. The study included 10,000 participants from rural and urban areas in five states and measured SARS-CoV-2 antibodies in serum in three follow-up rounds. The overall seroprevalence increased from 73.9% in round one to 90.7% in round two and 92.9% in round three. Among seropositive rural participants in round one, 98.2% remained positive in round two, and this percentage remained stable in urban and tribal areas in round three. The results showed high antibody prevalence that increased over time and was not different based on area, age group, or sex. Vaccinated individuals had higher antibody prevalence, and nearly all participants had antibody positivity for up to six months.

Health system factors related to COVID-19 mortality in Eastern India: Hospital-based cross-sectional study.

Introduction: Mortality from coronavirus disease 2019 (COVID-19) pandemic has left footprints across all ages and socio-economic strata. The deaths because of COVID-19 are usually multi-factorial. The study aimed to assess the health system factors related to COVID-19-related deaths. Materials and Methods: A hospital-based retrospective study was conducted at a tertiary care hospital of eastern India. A total of 272 COVID-19 deaths that occurred between April and November 2020 were investigated. Data were extracted from Medical Record Department, and telephonic interviews were conducted to assess the different delays related to death. Data were analysed using Statistical Package for Social Sciences. Travel time, travel distance, delay in testing, and delay in receiving quality care were presented as median with inter-quartile range. Results: Complete information could be collected from 243 COVID deaths of the 272 deaths (89.3%). The duration of hospital stay was 1-7 days for 42% of the deceased. The median travel time was 120 min, and the median distance travelled was 60 km. The median time to receive first attention of health care workers was 10 minutes. There was hardly any delay in reporting of test results, whereas the median time from symptoms to test and the median time from symptoms to admission were 4 days each. Conclusion: Health system factors related to death of COVID-19 need to be addressed to avoid the avoidable deaths during the pandemic situation. The resilience of the health system can be helpful in reducing death toll in a low-resource country like India.

Relationship of Mindfulness with Depression, Self-Management, and Quality of Life in Type 2 Diabetes Mellitus: mindfulness is a Predictor of Quality of Life.

Context: Mindfulness interventions have shown promising results in both psychological and clinical outcomes of type 2 diabetes mellitus. Depression, self-management, and quality of life (QOL) have shown improvement with mindfulness interventions; however, little is known about dispositional mindfulness and its relationship with depression, self-management, and QOL in type 2 diabetes mellitus. Aims: The aim of this study is to assess the relationship of dispositional mindfulness with depression, self-management, and QOL in patients of type 2 diabetes. Settings and Design: Noncommunicable disease outpatient department of a tertiary care medical center of East India. Cross-sectional study. Subjects and Methods: Ninety-nine patients with type 2 diabetes completed the Five Facets Mindfulness Questionnaire, Diabetes Self-Management Questionnaire, and World Health Organization QOL BREF questionnaire and Hamilton Rating Scale for depression. Statistical Analysis Used: Pearson's correlation and hierarchical regression analysis using the SPSS software version 20.0. Results: Describing, acting with awareness, and nonjudging facets of mindfulness showed a negative correlation with depression (P < 0.05). Acting with awareness and nonreactivity to inner experience were positively correlated with the physical activity domains of self-management (P < 0.05). All facets of mindfulness showed a positive correlation with four domains of QOL. In hierarchical regression analysis, after controlling for sociodemographic and clinical variables, mindfulness predicted the psychological domain of QOL, explaining 31% of the variance (P ≤ 0.001). However, mindfulness did not predict depression or self-management. Conclusions: Dispositional mindfulness is a strong predictor of QOL in type 2 diabetes mellitus and hence can be targeted with interventions to improve psychological outcomes.

Effectiveness of Fortified Mid-Day Meal in Reducing Anemia Among School Children in Dhenkanal, Odisha: A Quasi-Experimental Study.

BACKGROUND: Iron-deficiency anemia among school-aged children is widespread in India. The efficacy of micronutrient and iron fortified school-served meals in reducing iron deficiency anemia has been demonstrated in randomized controlled trials in other parts of the globe. The current study evaluates its effectiveness in real-world Indian settings. METHODS: Mid-day-Meal (MDM) programme provides free lunch to students of grades 1 to 8 in all public-funded Indian schools. An implementation research project fortified MDM of all public schools of 4 out of 8 sub-districts ("blocks") of Dhenkanal district of Odisha state with fortified rice kernel (FRK). All the schools of the other 4 blocks fortified with micronutrient powders (MNP)-both FRK and MNP containing equal amounts of supplementary iron and other micronutrients. Schools of 4 matched blocks of neighboring nonimplementing Angul district served as control. Cross-sectional representative samples of students were drawn from the 3 arms, before and after intervention (n = 1764 and n = 1640 respectively). Pre-post changes in anemia prevalence and hemoglobin levels were estimated in the sampled children using difference-in-difference analysis after controlling for inter-arm differences in socioeconomic status, and iron and deworming tablet consumptions. RESULTS: Factoring in pre-post changes in control and adjusting for potential confounders, the proportion of children without anemia and mean hemoglobin improved by 1.93 (1.38, 2.24, P < .001) times and 0.24 (-0.03, 0.51, P = .083) g/dL in MNP; and 1.63 (1.18, 2.24, P = .002) times and 0.18 (-0.09, 0.45, P = .198) g/dL in FRK arms. CONCLUSIONS: Fortified MDM could effectively improve anemia status among Indian school-aged children under real-world conditions.

Perception of Threat and Efficacy in Contracting COVID-19 Infection among Tobacco Users - A Cross-sectional Analytical Study from Four Indian States.

BACKGROUND: To trigger quit intention and practice of preventive measures for COVID-19 among tobacco users; it is imperative for them to be well aware of the fact that they are at higher risk of COVID-19 infection and should be at higher efficacy to practice preventive measures for the disease as compared to nonusers of tobacco. OBJECTIVES: This community-based cross-sectional analytical study was conducted from April 2020 to May 2020 among 1203 adult participants to compare the threat and efficacy perception among users and nonusers of tobacco. MATERIALS AND METHODS: Perception of threat was assessed using three questions on perceived threat and one question on perceived susceptibility; whereas perception of efficacy was assessed using four questions each on self-efficacy and response efficacy through telephonic interview. RESULTS: There was no significant difference in the overall threat perception among users and nonusers of tobacco. However, state-wise analysis showed that tobacco users had higher perception of threat for SARS-CoV-2 infection in all the states except Telangana. The overall perception of efficacy among tobacco users was significantly higher as compared to nonusers of tobacco. CONCLUSION: The study calls for active collaboration between tobacco control enthusiasts and the Government to promote awareness of a higher risk of COVID-19 disease among tobacco users. In essence, the study's implications extend beyond COVID-19 and can guide targeted efforts to promote awareness, behavior change, and collaboration in the context of other infectious diseases among tobacco users.

Characteristics and predictors of Long COVID among diagnosed cases of COVID-19.

BACKGROUND: Long COVID or long-term symptoms after COVID-19 has the ability to affect health and quality of life. Knowledge about the burden and predictors could aid in their prevention and management. Most of the studies are from high-income countries and focus on severe acute COVID-19 cases. We did this study to estimate the incidence and identify the characteristics and predictors of Long COVID among our patients. METHODOLOGY: We recruited adult (≥18 years) patients who were diagnosed as Reverse Transcription Polymerase Chain Reaction (RTPCR) confirmed SARS-COV-2 infection and were either hospitalized or tested on outpatient basis. Eligible participants were followed up telephonically after four weeks and six months of diagnosis of SARS-COV-2 infection to collect data on sociodemographic, clinical history, vaccination history, Cycle threshold (Ct) values during diagnosis and other variables. Characteristics of Long COVID were elicited, and multivariable logistic regression was done to find the predictors of Long COVID. RESULTS: We have analyzed 487 and 371 individual data with a median follow-up of 44 days (Inter quartile range (IQR): 39,47) and 223 days (IQR:195,251), respectively. Overall, Long COVID was reported by 29.2% (95% Confidence interval (CI): 25.3%,33.4%) and 9.4% (95% CI: 6.7%,12.9%) of participants at four weeks and six months of follow-up, respectively. Incidence of Long COVID among patients with mild/moderate disease (n = 415) was 23.4% (95% CI: 19.5%,27.7%) as compared to 62.5% (95% CI: 50.7%,73%) in severe/critical cases(n = 72) at four weeks of follow-up. At six months, the incidence among mild/moderate (n = 319) was 7.2% (95% CI:4.6%,10.6%) as compared to 23.1% (95% CI:12.5%,36.8%) in severe/critical (n = 52). The most common Long COVID symptom was fatigue. Statistically significant predictors of Long COVID at four weeks of follow-up were-Pre-existing medical conditions (Adjusted Odds ratio (aOR) = 2.00, 95% CI: 1.16,3.44), having a higher number of symptoms during acute phase of COVID-19 disease (aOR = 11.24, 95% CI: 4.00,31.51), two doses of COVID-19 vaccination (aOR = 2.32, 95% CI: 1.17,4.58), the severity of illness (aOR = 5.71, 95% CI: 3.00,10.89) and being admitted to hospital (Odds ratio (OR) = 3.89, 95% CI: 2.49,6.08). CONCLUSION: A considerable proportion of COVID-19 cases reported Long COVID symptoms. More research is needed in Long COVID to objectively assess the symptoms and find the biological and radiological markers.

Assessment of Health Status of Newborns Discharged From Sick Newborn Care Units of the Five Cyclone Fani Affected Districts of Odisha, India.

OBJECTIVE: This study was undertaken to assess the health status of newborns discharged from Sick Newborn Care Units (SNCU) of the Cyclone Fani affected districts of Odisha, which is amongst the highest neonatal mortality rate states in the country. METHODS: Cyclone Fani hit the coast of Odisha on May 3, 2019. This cross-sectional study was conducted in 5 districts and targeted the babies discharged from SNCU's from January to May 2019. A telephonic interview of the caregivers was conducted to assess the health status of the newborns. Data was collected in a web-based portal and analyzed by statistical package for social sciences SPSS (IBM Corp., Armonk, New York, USA). RESULTS: We inquired about 1840 babies during the study period but only 875 babies could be followed up, with the highest proportion of the babies from the most affected district. Out of 875 babies, 111 (12.7%) had 1 or more illnesses during follow up. Distance from the health facility and time constraints were the major reasons for not seeking health care. Of the babies, 35.7% were reported as being underweight. Poor breastfeeding (14.1%) and kangaroo mother care (31.7%) practices were reported. Only 32% of the babies were completely immunized. CONCLUSION: The health status of the babies discharged from the SNCUs was found to be poor. Newborn care can be strengthened by improving home-based and facility-based newborn care.

Trends in willingness to receive COVID-19 vaccines among healthcare workers in India: Findings from repeated cross-sectional national surveys.

Background: COVID-19 vaccination of the healthcare workers (HCWs) is a key priority in the fight against the SARS-CoV-2 pandemic. India launched its COVID-19 vaccination program in January 2021. We aimed to understand the trends in willingness to receive COVID-19 vaccines and its associated factors among HCWs in India. Methods: Using a repeated cross-sectional survey design, we collected information from HCWs in three critical time points: before (n = 937, October 2020), during (n = 1346, January 2021); and after (n = 812, May 2021) the introduction of COVID-19 vaccines in India. The third survey coincided with the peak of the second wave of COVID-19 pandemic in India. Findings: Of the study participants, 43.7, 60.2, and 73.2% were willing to receive COVID-19 vaccines during the first, second and third rounds of surveys, respectively. In multivariable logistic regression analysis, participants who trusted the health care system were more likely to report willingness to receive a COVID-19 vaccine; medical trust emerged as a significant factor in all the three rounds of surveys (First survey-aOR: 2.24, 95% CI: 1.67-2.99; Second survey-aOR: 3.38, 95% CI: 2.64-4.33; Third survey-aOR: 2.54, 95% CI: 1.65-3.91). Having confidence in domestic vaccines (Second survey-aOR: 2.21, 95% CI: 1.61-3.02; Third survey-aOR: 2.05, 95% CI: 1.24-3.37); and high perceived risk of contracting COVID-19 (Second survey-aOR: 1.48, 95% CI: 1.13-1.93; Third survey-aOR: 2.02, 95% CI: 1.31-3.13) were found to be associated with willingness to receive vaccines. Among socio-demographic characteristics, being married (aOR: 1.71, 95% CI: 1.08-2.71) and having high socio-economic status (aOR: 3.01, 95% CI: 1.65-5.51) emerged as significant factors associated with willingness to receive COVID-19 vaccines in the third round of the surveys. Interpretation: Willingness to receive COVID-19 vaccine increased with time, as the severity of the pandemic increased. To increase COVID-19 acceptance and coverage among HCWs, it is important to instill confidence in domestic vaccines and assist in accurate assessment of risk toward contracting COVID-19 infection.

Community health workers willingness to participate in COVID-19 vaccine trials and intention to vaccinate: A cross-sectional survey in India.

Background: Vaccine hesitancy is of considerable concern as it threatens the great potential of a vaccine against COVID-19. This study aims to determine factors associated with community health workers' willingness to participate in clinical trials of COVID-19 vaccine, and their vaccination intention, in India. Methods: A cross-sectional study was conducted among 377 community health workers using self-administered anonymous questionnaire during the lockdown periods in India. Participant's socio-demographics, willingness-to-participate in COVID-19 vaccine trials, intention to accept COVID-19 vaccine were recorded in a Likert scale. Data were analysed descriptively, and a multivariate logistic regression model was used to investigate factors associated with willingness to participate and accept the vaccine. Results: Among 377 CHWs, 70 (19%) intended to participate in COVID-19 vaccine trial, 151 (40%) responded positively regarding their intention to get vaccinated. Those with knowledge on development of COVID-19 vaccine [aOR 3.05 (95% CI: 1.18-7.88), p = 0.021], and men [aOR 3.69 (95% CI: 1.51-8.97), p = 0.004] were more willing to participate in clinical-trial, while an undergraduate degree, and trust in domestic vaccines were identified as deterrents for the same. Perceiving COVID-19 as risk [aOR 2.31 (95% CI: 1.24-4.31), p = 0.009], and male gender [aOR 2.39 (95% CI: 1.17-4.88), p = 0.017] were factors associated with intention to get vaccinated. Respondents who had knowledge about COVID-19 virus were less likely to uptake the hypothetical vaccine [aOR 0.32 (95% CI: 0.12-0.88), p = 0.027]. Conclusions: Increasing knowledge regarding COVID-19 is not enough to improve vaccine acceptance rates. Targeted interventions addressing socio-demographic determinants related to COVID-19 vaccination should help improve acceptance.

Performance of equations for estimation of 24-hour urinary sodium from morning fasting urine samples in a multisite study in India.

Background Dietary salt intake is an important modifiable risk factor for cardiovascular diseases. Estimation of 24-hour salt intake using morning urine samples needs to be validated in the Indian context. We examined the performance of INTERSALT, Tanaka and Kawasaki equations for the estimation of 24-hour urinary sodium from morning fasting urine (MFU) samples. Methods We enrolled 486 adults aged 18-69 years from four regions of India with equal rural/urban and sex representation to provide 24-hour urine samples. The next day, a MFU sample was obtained. Based on the volume and sodium content of the 24-hour urine sample, 24-hour sodium excretion (reference method) was calculated. Sodium levels in the MFU samples were measured along with other parameters required, and the above equations were used to estimate 24-hour urinary sodium levels. Intraclass correlation coefficient (ICC) was used to assess the degree of agreement between the estimates from the reference method and the three equations. Bland-Altman (BA) plots were used to identify systematic bias and limits of agreement. A difference of 1 g of salt (0.39 g of sodium) between the mean salt intake by 24-hour urine and as estimated by equations was considered acceptable. Results A total of 346 participants provided both the samples. The mean (SD) daily salt intake estimated by the 24-hour urine sample method was 9.9 (5.8) g. ICC was low for all the three equations: highest for Kawasaki (0.16; 95% CI 0.05-0.26) and least for Tanaka (0.12; 0.02-0.22). Only Tanaka equation provided estimates within 1 g of measured 24-hour salt intake (-0.36 g). BA plots showed that as the mean values increased, all the three equations provided lower estimates of salt intake. Conclusion Tanaka equation provided acceptable values of 24-hour salt intake at the population level. However, poor performance of all the equations highlights the need to understand the reasons and develop better methods for the measurement of sodium intake at the population level.

Clinico-Epidemiological Characteristics of Healthcare Workers with SARS-CoV-2 Infection during the First and Second Waves in a Teaching Hospital from Eastern India: A Comparative Analysis.

In this retrospective observational study, we have performed a comparative analysis of the demographic, clinical and epidemiological characteristics of the HCWs affected with SARS-CoV-2 infection during first two waves in India. The overall prevalence of SARS-CoV-2 infection among HCWs was found to be 15.24% (14.20-16.33) and 23.38% (22.14-25.65) during first and second waves respectively. The second wave showed an adjusted odds ratio of 0.04(0.02-0.07) and 2.09(1.49-2.93) for hospitalization and being symptomatic, respectively. We detected significantly higher level of C-reactive protein (CRP) among admitted HCWs during the second wave (5.10 -14.60 mg/dl) as compared to the first wave (2.00 - 2.80 mg/dl). Our study found the relative risk of SARS-CoV-2 reinfection among HCWs during the second wave to be 0.68 [0.57-0.82, p < 0.001)]. Although, the prevalence of SARS CoV-2 infection and risk of being symptomatic was higher during second wave, the risk of hospitalization was less when compared with the first wave.

Development of an EQ-5D Value Set for India Using an Extended Design (DEVINE) Study: The Indian 5-Level Version EQ-5D Value Set.

OBJECTIVES: This study aimed to develop the Indian 5-level version EQ-5D (EQ-5D-5L) value set, which is a key input in health technology assessment for resource allocation in healthcare. METHODS: A cross-sectional survey using the EuroQol Group's Valuation Technology was undertaken in a representative sample of 3548 adult respondents, selected from 5 different states of India using a multistage stratified random sampling technique. The participants were interviewed using a computer-assisted personal interviewing technique. This study adopted a novel extended EuroQol Group's Valuation Technology design that included 18 blocks of 10 composite time trade-off (c-TTO) tasks, comprising 150 unique health states, and 36 blocks of 7 discrete choice experiment (DCE) tasks, comprising 252 DCE pairs. Different models were explored for their predictive performance. Hybrid modeling approach using both c-TTO and DCE data was used to estimate the value set. RESULTS: A total of 2409 interviews were included in the analysis. The hybrid heteroscedastic model with censoring at -1 combining c-TTO and DCE data yielded the most consistent results and was used for the generation of the value set. The predicted values for all 3125 health states ranged from -0.923 to 1. The preference values were most affected by the pain/discomfort dimension. CONCLUSIONS: This is the largest EQ-5D-5L valuation study conducted so far in the world. The Indian EQ-5D-5L value set will promote the effective conduct of health technology assessment studies in India, thereby generating credible evidence for efficient resource use in healthcare.

Parents' Perceptions and Intention to Vaccinate Their Children Against COVID-19: Results From a Cross-Sectional National Survey in India.

Background: Despite the success of adult vaccination against COVID-19, providing vaccines to children remains a challenge for policymakers globally. As parents are primary decision-makers for their children, we aimed to assess parents' perceptions and intentions regarding COVID-19 vaccination in India. Methods: A cross-sectional web-based study was designed, parents or caregivers (N = 770) were recruited through snowball sampling using Google form. Cross-tabulation was performed by parents' intention to vaccinate their children against COVID-19 virus with sociodemographic characteristics and their risk perception toward COVID-19, trust in the healthcare system, and their history of vaccine hesitancy behavior. Multivariable logistic regression analysis was performed to compute the predictors of child vaccination intention among Indian parents. Results: Seven hundred and seventy parents across the country have completed the survey. Of the 770 participants, 258 (33.5%) have shown intent to vaccinate their children. The stated likelihood of child vaccination was greater among parents who had a bachelor's degree or higher education (aOR: 1.98, 95% CI: 1.15-3.51); as well as among parents who intended to vaccinate themselves (aOR: 2.35, 95% CI: 1.30-4.67). Parental concerns centered around vaccine safety and side effects. Conclusion: Indian parents reported high knowledge of the COVID-19 virus and were aware of the development of a vaccine. However, about one-third of parents intended to vaccinate their children, and about half of them were not sure whether to vaccinate their children or not against the COVID-19 virus. The study highlighted the need for health promotion strategies that promote vaccine uptake among parents.

Sociodemographic Determinants of Willingness and Extent to Pay for COVID-19 Vaccine in India.

Background: Responding to the fast transmission rates and increasing fatality rates, countries across the world expedited the development and deployment of the vaccine for coronavirus disease 2019 (COVID-19). Evaluation of individuals' willingness to pay (WTP) would provide pertinent information regarding future demand and financing preferences, which shall help to devise the effective payment strategy for COVID-19 vaccination. Methods: A nationwide, cross-sectional, and self-administered online survey using a structured questionnaire was conducted to identify the sociodemographic determinants of willingness and extent to pay for COVID-19 vaccine in India. A non-probability convenience sampling followed by snowball sampling was employed to recruit participants (n = 3,341). The likelihood of sociodemographic determinants to predict willingness and extent to pay was modeled using the multivariate binary logistic regression analysis. Results: Out of 3,341 participants, 68% (n = 2,271) were willingness to pay for COVID-19 vaccine. Results showed significantly higher odds for willingness to pay among participants who were single [adjusted odds ratio (aOR) = 1.394, p < 0.01] and having a family size of 4 members (aOR = 1.346, p < 0.01). The adjusted odds ratio sizably increased from 1.396 for participants whose monthly income was between INR 10,000 and 20,000/month to 2.240 for participants whose monthly income was above INR 50,000/month. Further, out of 2,271 of those participants who were willingness to pay for COVID-19 vaccine, majority (n = 1,246, 54.9%) of participants were willingness to pay below 50% of COVID-19 vaccine cost. This study found that those who are single (aOR = 0.688, p < 0.01), having an income between INR 20,000 and 50,000/month (aOR = 0.686, p < 0.05), and those who belonged to socially disadvantaged category (aOR = 0.450, p < 0.01) were estimated to have significantly lower odds of willingness to pay more than 50% of COVID-19 vaccine cost. Conclusion: This study observed that majority of those participants who willingness to pay for COVID-19 vaccine were willingness to pay only up to 50% of COVID-19 vaccine and income was observed as a precursor predictor of the willingness and extent to pay for COVID-19 vaccine. The understanding on the willingness and extent to pay for COVID-19 vaccine and its sociodemographic determinants will be helpful for making the strategic decisions related to the financing of COVID vaccine in India.

Flow cytometry based platelet activation markers and state of inflammation among subjects with type 2 diabetes with and without depression.

Type 2 Diabetes Mellitus (T2DM) and Major Depressive Disorder (MDD) are highly disabling disorders associated with a multitude of vascular complications. Platelets are known to play a role in the pathogenesis of vascular complications in both T2DM and MDD. These complications could increase in patients with comorbid diabetes and depression. To quantify and compare flow cytometry based platelet activation markers and the inflammatory state between individuals of diabetes with depression, individuals of diabetes without depression and healthy controls. Out of 114 participants, each study group contained 38 participants in diabetic group, diabetics with depression group and matched control group. Diabetes was diagnosed with the American Diabetes Association (ADA) criteria. Screening of MDD was done with Patient Health Questionnaire 2 (PHQ2) and severity of depression assessed with Hamilton Depression Rating (HAM-D) scale. Platelet markers CD41, CD42b, CD62P and CD63 were assayed using flow cytometer. Platelet count, surface expression of platelet activation markers CD62P and CD63, hs-CRP, insulin and HOMA-IR score differed significantly between the groups. Post hoc analysis showed significantly high CD63 expression in patients with comorbid diabetes and depression compared to those having diabetes without depression. Patients with comorbid diabetes and depression have enhanced platelet hyperactivation and a pro inflammatory state which increases susceptibility to vascular complications.