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BackgroundBreastfeeding is a crucial and irreplaceable method of feeding infants. Despite the well-established advantages of early breastfeeding initiation, its progress remains constrained. Over half of Indian mothers witness delayed breastfeeding initiation. Various factors have been implicated to influence breastfeeding initiation, with institutional deliveries emerging as a crucial factor among them. ObjectiveWe tested the hypothesized association between institutional delivery and initiation delays and identified how various socioeconomic variables moderate (weaken, strengthen, or reverse) the association between breastfeeding initiation delays and place of delivery. MethodsThis cross-sectional study analyses data of 106,569 breastfeeding mothers from the NFHS-5 (National Family Health Survey, 2019-21). Missing data were managed by using a complete case analysis approach. The outcome variable was the timing of breastfeeding initiation for the most recent child, with the place of delivery being the explanatory variable. Socioeconomic factors including age, education level, marital status, place of residence, and wealth index were considered moderating variables. Logistic regression–based moderation analysis explored how these variables influence the relationship between breastfeeding initiation delays and place of delivery. Separate binary logistic regression models analyzed the effect of each moderating variable. Statistical analysis was conducted using IBM SPSS Statistics 26. ResultsThe highest occurrence of delayed breastfeeding initiation was observed among mothers aged ≥36 years (58.3%), lacking formal education (60.9%), belonging to lower wealth groups (58.1%), residing in rural areas (57.4%), and having home births (64.1%). Results confirmed the primary hypothesis that institutional delivery significantly and negatively affects delayed breastfeeding initiation (odds ratio [OR] 0.705, 95% CI 0.676-0.735, P

IntroductionKnowledge of the risk of developing cardiovascular diseases (CVD) in the population is an important risk management strategy for the prevention of this disease. This is especially true for India, which has resource-restrained settings with an increased risk in a younger population for the development of the disease. An important modifiable risk factor for CVD is hypertension, with its influence on the development of CVD.MethodsThe data from the first wave of the Longitudinal Ageing Study in India (LASI) was used to calculate the 10-year CVD Risk Score among older adults ≥45 years using a WHO (2019) non-laboratory- based chart for South Asia. Univariate analysis was done using Pearson’s chi-square test, and multivariable analysis using ordinal logistic regression. Categories of CVD risk score were considered as dependent variable. Socio-demographic variables, regular exercise, history of diabetes and hyperlipidaemia were considered as the independent variables. Relationship between CVD Risk score and hypertensives and self-reported hypertensives were presented using restricted cubic splines.ResultTwo-thirds (68.8%) of the population had a 10-year CVD risk of

BackgroundLimited interventions exist on reducing unwanted screen time (ST) among children from low- and middle-income countries (LMICs), so we developed and assessed the effectiveness of the program to lower unwanted media screen time (PLUMS) among children aged 2–5 years in Chandigarh, Union Territory, North India.MethodsAn open-label randomized control parallel group trial per CONSORT guidelines was conducted among randomly selected 340 families with children aged 2–5 (±3 months) years in Chandigarh, India. PLUMS was implemented at the family level with a focus on modifying the home media environment and targeted individual-level interventions using parent and child modules for 2 months. A post-intervention (immediately) and a follow-up assessment after 6 months was done. During the follow-up period, the interaction was done passively via WhatsApp groups. The control group received routine healthcare services. Validated and standardized tools, including a digital screen exposure questionnaire with a physical activity component, preschool child behavior checklist, and sleep disturbance scale for children, were used to collect data at baseline, post-intervention, and follow-up periods. The primary outcome was the mean difference in ST (minutes/day) among children in the intervention group versus the control group. Generalized estimating equation (GEE) analysis was performed to adjust for clustering.ResultsAn equal number of families (n = 170) were randomly assigned to the intervention and control arms. In the post-intervention assessment, 161 and 166 families continued while, at the follow-up assessment, 154 and 147 were in the intervention and control arm, respectively. The mean difference in ST on a typical day [27.7 min, 95% Confidence Interval (CI) 5.1, 50.3] at the post-intervention assessment significantly (p

Abstract Background and objectives To enable an accurate assessment of vaccine hesitancy among adults, a validated Hindi vaccine hesitancy questionnaire, encompassing multiple sub-domains of vaccine hesitancy, is a pre-requisite. The following study was conducted to translate and determine the reliability, content, construct, and concurrent validity of the Hindi Adult Vaccine Hesitancy scale (5C) among adults in Northern India. Methods Translation-back translation of the 5C tool (which comprises five domains of vaccine hesitancy: confidence, calculation, complacency, constraint, and collective responsibility) to Hindi, followed by cognitive interviews among the target population, was done. Item-wise (I-CVI) and full-scale Content Validity Index (S-CVI) were determined through a panel of experts. The robust econometric approach of Confirmatory Factor Analysis (CFA) was employed and construct validity were tested among 150 participants. Discriminant and Convergent validity were examined using the Average Variance Extracted (AVE). The reliability of the domains was assessed through Composite Reliability (CR). Results The I-CVI and Kappa statistics of all tool items ranged from 0.8 to 1.0. The S-CVI/AVE was calculated to be 0.97. The composite reliability (CR ≥ 0.70) and convergent validity (AVE ≥ 0.50) coefficients were found to be adequate. AVE of the latent variables was greater than the squared values of the latent variable correlations, indicating adequate discriminant validity. 5C tool in the Indian setting demonstrated a ‘good fit’ established through confirmatory factor analysis. Interpretation and conclusions Hindi version of the 5C scale is a valid tool to assess vaccine hesitancy among the Hindi-speaking population North Indian Population. Willingness to take the recommended vaccines was positively correlated with ‘confidence,’ ‘calculation,’ and ‘collective responsibility’ and negatively correlated with ‘complacency’ and ‘constraint’ domains.

Abstract Background Expansion of maternal health service coverage is crucial for the survival and wellbeing of both mother and child. To date, limited literature exists on the measurement of maternal health service coverage at the sub-national level in India. The prime objectives of the study were to comprehensively measure the maternal health service coverage by generating a composite index, map India by categorizing it into low, medium and high zones and examine its incremental changes over time. Methods Utilising a nationally representative time series data of 15 key indicators spread across three domains of antenatal care, intranatal care and postnatal care, we constructed a novel ‘Maternal Health Service Coverage Index’ (MHSI) for 29 states and 5 union territories of India for the base (2017–18) and reference (2019–20) years. Following a rigorous procedure, MHSI scores were generated using both arithmetic mean and geometric mean approaches. We categorized India into low, medium and high maternal health service coverage zones and further generated geospatial maps to examine the extent and transition of maternal health service coverage from base to reference year. Results India registered the highest mean percentage coverage (93.7%) for ‘institutional delivery’ and the lowest for ‘treatment for obstetric complications’ (9.3%) among all the indicators. Depending on the usage of arithmetic mean and geometric mean approaches, the maternal health service coverage index score for India exhibited marginal incremental change (between 0.015—0.019 index points) in the reference year. West zone exhibited an upward transition in the coverage of maternal health service indicators, while none of the zones recorded a downward movement. The states of Mizoram (east zone) and the Union Territory of Puducherry (south zone) showed a downward transition. Union territories of Dadra & Nagar Haveli (west zone) and Chandigarh (north zone), along with the states of Maharashtra (west zone), Assam, as well as Jharkhand (both from the east & north east zone), showed upward transition. Conclusion Overall, maternal health service coverage is increasing across India. Our study offers a novel summary measure to comprehensively quantify the coverage of maternal health services, which can momentously help India identify lagged indicators and low performing regions, thereby warranting the targeted interventions and concentrated programmatic efforts to bolster the maternal health service coverage at the sub-national level.

Background: The aim of this study was to analyze the clinical features of patients attending the screening clinic of a dedicated COVID-19 hospital (DCH), including COVID-19 RT-PCR test positivity rate, symptom predictors for COVID-19 positivity, the proportion of recovery, and the mortality among COVID-19 positive cases. Methods: We conducted a cross-sectional study of the patients who reported in the screening clinic of a DCH. Data were retrieved from medical records. Step-wise binary logistic regression was applied to determine the symptom predictors for determining the likelihood of the suspects turning out to be COVID-19 positive. Results: A total of 573 patients reported to the screening clinic were enrolled, and their median age was 36 ± 14 years. Of the total patients, 237 (41%) were females and 112 (20%) patients were COVID-19 suspects. Fifty (45%) suspects tested COVID-19 positive. The majority of the positives had complaints of cough, fever, and sore throat. Running nose (OR = 7.951) and history of contact with a COVID-19-positive case (OR = 169.9) were found to be statistically significant symptom predictors for COVID-19 positivity. All patients recovered with nil case fatality. Conclusion: Running nose and history of contact with COVID-positive patients were significant predictors for COVID-19 positivity. In this pandemic state, patients who present with any of the upper respiratory infection (URI) symptoms such as cough, sore throat, running nose, headache, and loss of taste/smell should be tested for COVID-19 for early identification and isolation to break the chain of transmission. The public should be encouraged to undergo COVID-19 testing if they develop any of the URI symptoms.

BackgroundDiverse socio-economic and cultural issues contribute to adverse health outcomes and increased mortality rates among rural Indian women across different age categories. The present study aims to comprehensively assess age-specific mortality rates (ASMR) and their temporal trends using a composite measure at the sub-national level for rural Indian females to capture cross-state differences.Materials and methodsA total of 19 states were included in the study to construct a composite age-specific mortality index for 2011 (base year) and 2018 (reference year) and examine the incremental changes in the index values across these years at the sub-national level in India. Sub-index values were calculated for each component age group and were subsequently used to compute the composite ASMR index using the geometric mean method. Based on the incremental changes, the performance of states was categorized into four different typologies.ResultsImprovement in mortality index scores in the 0–4 years age group was documented for all states. The mortality rates for the 60+ age group were recorded to be high for all states. Kerala emerged as the overall top performer in terms of mortality index scores, while Bihar and Jharkhand were at the bottom of the mortality index table. The overall mortality composite score has shown minor improvement from base year to reference year at all India level.ConclusionAn overall reduction in the mortality rates of rural Indian women has been observed over the years in India. However, in states like Bihar and Jharkhand, mortality is high and has considerable scope for improvement. The success of public health interventions to reduce the under-five mortality rate is evident as the female rural mortality rates have reduced sizably for all states. Nevertheless, there is still sizable scope for reducing mortality rates for other component age groups. Additionally, there is a need to divert attention toward the female geriatric (60+ years) population as the mortality rates are still high.

BackgroundCOVID-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.MethodsUsing 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.FindingsOf 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.InterpretationWillingness 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.

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.

BackgroundResponding 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.MethodsA 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.ResultsOut 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.ConclusionThis 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.

BackgroundDespite 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.MethodsA 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.ResultsSeven 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.ConclusionIndian 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.

Objectives: A three-member central Rapid Response Team (RRT) was deputed to Union Territory of Ladakh on 26th March 2020, to assess the situation and support the preparedness measures including implementation of cluster containment plan and social distancing measures for coronavirus disease 2019 (COVID-19). Methods: Central RRT addressed the panchayat sarpanch and religious leaders, sensitized doctors and paramedical staff on COVID-19 situation; conducted situational analysis, review of records and logistics, key informant interviews of senior administrative and healthcare officials, focus group discussions with local community people and field visits to various hospitals, isolation centers, quarantine facilities, and containment zones. Results: A total of 14 COVID-19 cases with no deaths were reported and nine patients had recovered till 4 April 2020. The median (range) age of positive cases was found to be 32.5 (6 months–76 years) years and overall attack rate was 1.65 per 1000 population. Ladakh Government declared Chuchot Gongma, Yokma and Sankoo as the containment zones and deputed surveillance teams. A total of 2397 persons were quarantined and 496 samples were tested from Ladakh. COVID-19 sample testing, Srinagar-Leh highway opening and Iran pilgrimage returnees were the major challenges identified. Conclusions: The Ladakh government must continue the robust surveillance system and stringent strategies in key areas for management of COVID-19 namely – aggressive screening and testing, isolation, quarantine, hand hygiene, respiratory etiquettes and social distancing.

Background: Students act as messengers in delivering effective messages for better uptake of health-promoting behavior. Understanding their knowledge about coronavirus disease 2019 (COVID-19), intentions to use the COVID-19 vaccine, and its associated factors will help develop promising strategies in vaccine promotion concerning the current COVID-19 pandemic.Methods: A cross-sectional online survey was carried out among students in the healthcare and non-healthcare sectors to assess their intentions to get vaccinated against the COVID-19. A non-probability snowball sampling technique was used to recruit study participants (N = 655) through social media platforms and emails. Study participants were recruited across the country, including six major geographical regions (Eastern, Western, Northern, Southern, North-east, and Central) in India between November 2020 and January 2021 before the introduction of the COVID-19 vaccine. Descriptive statistics were used to present the sociodemographic, and vaccine-related behaviors of the study participants. Key determinants that likely predict vaccine acceptance among students were modeled using logistic regression analysis. For each analysis, p < 0.05 was considered significant.Results: A total of 655 students were recruited, 323 from healthcare and 332 from non-healthcare sectors, to assess their intentions to receive the COVID-19 vaccine. Of the 655 students, 63.8% expressed intentions to receive the COVID-19 vaccine. The acceptance was higher among non-healthcare students (54.07 vs. 45.93%). At the time of the study, 27.8% of the students indicated that they had been exposed to a confirmed COVID-19 patient. A vast majority (93.4%) of the students knew about the COVID-19 virus, and most (89.3%) of them were aware of the development of a COVID-19 vaccine. The history of vaccine hesitancy was found to be low (17.1%). Only one-third (33.4%) of the students showed concern about contracting COVID-19. Trust in the healthcare system [adjusted odds ratio (aOR): 4.13; (95% CI: 2.83–6.04), p < 0.00] and trust in domestic vaccines [aOR: 1.46; (95% CI: 1.02–2.08), p < 0.05] emerged as the significant predictors of student's intention to get vaccinated. Higher acceptance for vaccine was observed among students in the non-healthcare [aOR: 1.982; 95% CI: 1.334–2.946, p < 0.00].Conclusion: This study shows that the Indian college students had relatively high levels of positive intentions to receive COVID-19 vaccines, although about one-third were not sure or unwilling to receive the vaccine, highlighting possible vaccine hesitancy. Informational campaigns and other strategies to address vaccine hesitancy are needed to promote uptake of COVID-19 vaccines.

Background: The associated risk factors, co-morbid conditions and biological differences varying with gender and age might be the cause of higher COVID-19 infection and deaths among males and older persons. The objective of this study was to predict and specify the biological attributes of variation in age and gender-based on COVID-19 status (deceased/recovered). Methods: In this retrospective study, the data was extracted from a recognised web-based portal. A total of 112,860 patients' record was filtered out and an additional 9131 records were separately analysed to examine age and gender relationship with patient's COVID-19 status (recovered/deceased). Chi-square, t-test, binary logistic regression, and longitudinal regression analysis were conducted. Results: The male COVID-19 cases (65.39%) were more than females (34.61%) and mean age of infected and recovered patients was 39.47 ± 17.59 years and 36.85 ± 18.51 years respectively. The odds for infection was significantly higher among females for lower age categories, which declines with age. The age-adjusted odds for recovery were significantly higher among females (O.R. = 1.779) and odds for recovery was highest in 5–17 years age category (O.R. = 88.286) independent of gender. Conclusion: The chances of being COVID-19 infected was higher for females of lower age categories (

BackgroundOver the last three decades, the accessibility and usage of mobile devices have increased among young children. This study's objective was to develop a validated caregiver-reported digital-screen exposure questionnaire (DSEQ) for children aged 2-5 years.MethodsDSEQ was developed in five phases. Phase 1, a draft questionnaire was developed by reviewing the literature on existing tools (n = 2) from 2009-2017. Phase 2, face-to-face interviews with primary caregivers (n = 30) were conducted in a tertiary-care-hospital for acculturation. Nine experts assessed the face and content validity of the draft Hindi and English questionnaire. Phase 3, a pilot study conducted among randomly selected families (n = 40) to evaluate the feasibility of DSEQ in field settings. Phase 4, test-retest reliability was done among 30 primary caregivers selected randomly in another urban cluster. Phase 5, the internal consistency of DSEQ was checked by conducting a cross-sectional study among randomly selected 400 primary caregivers in Chandigarh, North India. IBM SPSS Statistics for Macintosh, version 25.0, was for data management and analysis.ResultsA valid DSEQ with 86 items under five domains, including sociodemographic, screen-time exposure and home media environment, level of physical activity, media-related behaviors, and parental perceptions was developed. The pilot study showed that it was feasible to use the DSEQ in the field. DSEQ was reliable with kappa value ranging from 0.52 to 1.0, and intra-class coefficient of 0.62-0.99 (pConclusionsThe developed DSEQ has good face and content validity and acceptable evidence of internal consistency and test-retest reliability. The DSEQ can be used for measuring digital screen exposure and its correlates among children aged 2 to 5 years.