The Impact of Alternate Methodological and Structural Assumptions on Results of Cost-effectiveness Analysis: Empirical Evidence using Three Indian Economic Evaluations.

BACKGROUND: Despite advancement in methods and application of economic evaluations (EEs), there are several uncertainties. OBJECTIVES: To assess the impact of alternate methodological and structural assumptions for four key principles of EE, on the results of cost-effectiveness analysis. MATERIALS AND METHODS: Three previously published model-based EEs were used: (1) Integrated Management of Neonatal and Childhood Illnesses (IMNCIs) intervention; (2) intervention for multiple myeloma, and (3) safety-engineered syringes (SES) intervention. A series of empirical analyses was undertaken to assess the impact of alternate assumptions for discount-rate, time-horizon, study perspective, and health outcome measure, on incremental cost-effectiveness ratio (ICER), and interpretation of cost-effectiveness. RESULTS: Increasing discount rate resulted in an increase in ICERs, for all three case-studies; however, there was no change in the conclusions. Using shorter time-horizons resulted in a significant increase in ICERs, the multiple myeloma intervention remained cost-ineffective, SES intervention became cost-ineffective, whereas IMNCI intervention remained cost-effective, despite a three-fold increase in ICER. On using disability adjusted life years instead of quality adjusted life years, ICERs increased to 0.04, 2 and 4 times for SES, IMNCI and multiple myeloma interventions, respectively. On analyzing results from a societal perspective, a decline in ICERs was observed. The decline was significant for IMNCI where the intervention turned dominant/cost-saving. In the other two case-studies decline in ICERs was modest, 32% for multiple myeloma, and 4% for SES. CONCLUSION: We observed a significant impact of using alternate assumptions on ICERs which can potentially impact resource-allocation decisions. Our findings provide strong argument in favor of standardization of processes and development of country-specific guidelines for conduct of EE.

Prevalence and sociodemographic determinants of common mental disorders (CMDs) symptoms in a rural adult population of Haryana, North India.

Objectives: Common mental disorders (CMDs), including depression, anxiety, and somatoform disorders, affect all stages of life and impact individuals, families, and communities. This study aimed to determine the magnitude of CMDs and their sociodemographic determinants in the adult population of a rural block in North India. Material and Methods: A cross-sectional, quantitative, community-based study was conducted among adult residents of a rural block in Haryana, North India, using a multistage random sampling technique. The Hindi version of the General Health Questionnaire (GHQ-12), a well-validated tool, was used to screen participants for CMDs. Scores of 4 or above denoted the presence of CMDs. Bivariate analyses were performed to determine the associations between CMDs and sociodemographic characteristics. Results: Of the 180 residents selected for the study, most were women (60.0%) and aged between 31 and 50 years (52.3%). The prevalence of CMDs symptoms in the study population was 20.0%. The presence of CMDs symptoms was significantly higher among those who were aged 60 years or older [OR=12.33, 95% CI 3.21-47.38], widowed, divorced or separated [OR=7.50, 95% CI 1.09-51.52], illiterate [OR= 6.25, 95% CI 2.84-13.77], had monthly family income below 10,000 INR [OR=3.33, 95% CI 1.54-7.20], had any chronic physical illness [OR=8.28, 95% CI 3.70-18.56] and had a family history of any psychiatric illness [OR=5.56, 95% CI 1.52-19.42]. Conclusion: The burden of CMDs was quite high among adults in rural North India. The presence of CMDs was closely associated with sociodemographic characteristics. Primary care and community-based settings need to screen for, diagnose, and manage CMDs to address this growing problem.

A Novel Potential Treatment for Diabetic Foot Ulcers and Non-Healing Ulcers - Case Series.

INTRODUCTION: Appropriate care and treatment of a wound is the need of the hour whether it is an infected or a non-infected wound. If wound healing is delayed for some reason, it leads to serious complications and further increases the hospital stay and cost of treatment. Herein, we describe a novel antimicrobial wound dressing formulation (VG111), with an objective to generate the preliminary data showing the distinct advantages in various types of wounds. METHOD: This case series involved the treatment of acute cases of wounds or chronic wounds that did not respond well to conventional wound healing treatments with VG111 in patients with different etiologies. Thirteen cases of patients that included patients with diabetes, pressure ulcers, burns, trauma, and others treated with VG111 showed rapid wound healing in all the cases, even obviating the need for a graft when complete skin regeneration occurred RESULT: This was illustrated by clearing of the wound infections, reduction/disappearance of the exudate, appearance of intense granulation, epithelialization, and anti-biofilm activity followed by complete wound closure. This VG111 precludes the need for systemic antimicrobial agents in localized infections and therefore, this single agent is an attempt to address the limitations and the drawbacks of the available products. CONCLUSION: Despite patients belonging to the old age group and having comorbidities like diabetes, still VG111 showed effective rapid wound healing, and that too without any scar formation in hardto-heal, infected, and non-infected wounds

Human Resources for Health in Haryana, India: What can be Done Better?

Introduction: Health systems in developing countries suffers from both input and productivity issues. We examined the status of three domains of human resources for health, i.e., availability and distribution, capacity and productivity, and motivation and job-satisfaction, of the health-care workforce employed in the public health system of Haryana, a North Indian state. Methodology: The primary data were collected from 377 public health facilities and 1749 healthcare providers across 21 districts. The secondary data were obtained from government reports in the public domain. Bivariate and multivariate statistical techniques were used for evaluating district performances, making inter-district comparisons and identifying determinants of motivation and job-satisfaction of the clinical cadres. Results: We found 3.6 core health-care workers (doctors, staff nurses, and auxiliary nurses-midwives) employed in the public health-care system per 10,000 population, ranging from 1.35 in Faridabad district to 6.57 in Panchkula district. Around 78% of the sanctioned positions were occupied. A number of inpatient hospitalizations per doctor/nurses per month were 17 at the community health center level and 29 at the district hospital level; however, significant differences were observed among districts. Motivation levels of community health workers (85%) were higher than clinical workforce (78%), while health system administrators had lowest motivation and job satisfaction levels. Posting at primary healthcare facility, contractual employment, and co-habitation with family at the place of posting were found to be the significant motivating factors. Conclusions: A revamp of governance strategies is required to improve health-care worker availability and equitable distribution in the public health system to address the observed geographic variations. Efforts are also needed to improve the motivation levels of health system administrators, especially in poorly performing districts and reduce the wide gap with better-off districts.

Psychological distress and related factors regarding COVID-19 among the ancillary hospital staff: A cross-sectional study.

Background: Healthcare workers (HCWs) are at the front line of the Coronavirus disease (COVID-19) outbreak response. They have faced great risks to both physical and mental health. We aimed to assess the psychological effect of COVID-19 among ancillary hospital staff. Methods: A cross-sectional study was conducted among 267 on-duty ancillary hospital staff using a semi-structured questionnaire to assess their psychological status and risk perception. In addition, their knowledge, attitude, and practices (KAP) and risk perception were also assessed. The General Health Questionnaire (GHQ-12) was used to screen for psychological distress. Results: Among 267 participants, the mean (±SD) age was 33.5 (7.6) years. The majority knew about the symptoms of COVID-19 (88.4%), droplet spread (99.3%), and the importance of isolation (99.3%). About 35.2% were worried about infecting family members, while 26.2% were worried about colleagues at the frontline. Only 38.9% of them had a good knowledge score. Participants with high school and above education level had significantly good knowledge about COVID-19 (OR = 1.99; 95% CI = 1.17- 3.39) than those with primary school or below. Being female (OR 1.99; 95% CI 1.17-3.39) and working with COVID-19 patients (OR 3.88, 95% CI 1.77-8.47, P = 0.001) was associated with psychological distress. Conclusion: The ancillary hospital staff had insufficient knowledge regarding the risk factors of COVID-19 but possessed positive attitudes and practices. Continued health education and appropriate psychological interventions may improve understanding and reduce psychological distress.

Human rabies control in the era of post-COVID-19: a call for action.

Following the COVID-19 pandemic, there has been a sharp increase in rabies cases and deaths. Rabies outbreaks are being reported worldwide. Multiple disruptions in Rabies control occurred during the pandemic, significantly affecting lower-income countries. Countries need to develop specific action plans to become 'rabies free' by 2030.

Oral manifestation of the monkeypox virus: a systematic review and meta-analysis.

Background: Mpox (formerly known as monkeypox) is a global public health concern, given the recent outbreaks in non-endemic countries where little scientific evidence exists on the disease epidemiology. Oral lesions among mpox cases have been poorly reported. Our aim was to estimate the overall prevalence of oral manifestations among patients with mpox globally. Methods: In this systematic review and meta-analysis, an extensive literature search in PubMed, Scopus, Web of Science, Embase, Cochrane, and preprint servers (medRxiv, arXiv, bioRxiv, BioRN, ChiRxiv, ChiRN, and SSRN) and assessment of all published articles, conducted across the world, until Nov 15 2022 as per the PROSPERO registration protocol (CRD42022371249), was undertaken. Primary studies (case series, cross-sectional, retrospective, prospective designs) that reported the oral/oropharyngeal symptoms among laboratory-confirmed mpox cases were included. The characteristics of the study, information on the number of cases, and symptomatic status were extracted from the included studies. The quality of the included studies was assessed for bias. Random-effects meta-regression with DerSimonian & Laird estimator, and subgroup analyses were conducted using STATA (v17.0). The degree of funnel plot asymmetry was assessed using Egger's test when at least 10 estimates were available. The heterogeneity between studies was assessed using the I2 statistic. The primary outcome was the pooled prevalence of oral manifestations in the examined population. Findings: 19 studies were included with 4042 laboratory-confirmed patients with mpox for qualitative and quantitative synthesis. The pooled prevalence of oral manifestations in the investigated population was 36.75% (95% confidence interval [CI]: 23.77-50.65). Heterogeneity was found to be high in the current meta-analysis (I2 = 98.24%; p < 0.001). Subgroup analysis revealed a pooled prevalence of 39.96% (95% CI: 21.42-59.91) of sore throat, 24.80% (95% CI: 8.14-46.32) of mouth sore, 18.24% (95% CI: 0.34-52.54) of tonsillitis and 17.99% (95% CI: 15.66-20.43) of mouth rash from the included studies. Interpretation: Oral manifestations are common in patients with mpox, with variations in prevalence across the sites within the oral cavity, and geography of the studies. Healthcare workers should be wary of the oral signs and symptoms of mpox in endemic and high-risk areas. Funding: None.

Potentially Asymptomatic Infection of Monkeypox Virus: A Systematic Review and Meta-Analysis.

Background: Monkeypox is a global public health concern, given the recent outbreaks in non-endemic countries where little scientific evidence exists on the disease. Specifically, there is a lack of data on asymptomatic monkeypox virus infection. This study aims to evaluate the overall prevalence of asymptomatic monkeypox virus infection. Methods: In this systematic review and meta-analysis, we performed an extensive literature search in PubMed, Scopus, Web of Science, ProQuest, EMBASE, EBSCOHost, Cochrane, and preprint servers (medRxiv, arXiv, bioRxiv, BioRN, ChiRxiv, ChiRN, and SSRN) and assessed all published articles till September 2022. Primary studies reporting monkeypox infections among asymptomatic participants were included after quality assessment. The characteristics of the study and information on the number of cases and symptomatic status were extracted from the included studies. The heterogeneity between studies was assessed using the I2 statistic. Publication bias was analyzed using funnel plots and Egger regression tests. The primary outcome was the pooled prevalence of asymptomatic infections within the examined population. Results: A total of 16 studies were included for qualitative synthesis, while five studies, including 645 individuals, were included for quantitative synthesis. There was substantial heterogeneity between studies (I2 = 94.86%; p < 0.01), with a pooled percentage of asymptomatic infections in the studied population of 10.2% (95%CI, 2.5−17.9%). Conclusion: This meta-analysis suggests that many people infected with the monkeypox virus are asymptomatic and difficult to detect. Therefore, prompt detection of these cases of monkeypox virus and appropriate subsequent management is of utmost importance to global public health.

Harnessing machine learning models for non-invasive pre-diabetes screening in children and adolescents.

BACKGROUND AND OBJECTIVES: Pre-diabetes has been identified as an intermediate diagnosis and a sign of a relatively high chance of developing diabetes in the future. Diabetes has become one of the most frequent chronic disorders in children and adolescents around the world; therefore, predicting the onset of pre-diabetes allows a person at risk to make efforts to avoid or restrict disease progression. This research aims to create and implement a cross-validated machine learning model that can predict pre-diabetes using non-invasive methods. METHODS: We have analysed the national representative dataset of children and adolescents (5-19 years) to develop a machine learning model for non-invasive pre-diabetes screening. Based on HbA1c levels the data (n = 26,567) was segregated into normal (n = 23,777) and pre-diabetes (n = 2790). We have considered eight features, six hyper-tuned machine learning models and different metrics for model evaluation. The final model was selected based on the area under the receiver operator curve (AUC), Cohen's kappa and cross-validation score. The selected model was integrated into the screening tool for automated pre-diabetes prediction. RESULTS: The XG boost classifier was the best model, including all eight features. The 10-fold cross-validation score was highest for the XG boost model (90.13%) and least for the support vector machine (61.17%). The AUC was highest for RF (0.970), followed by GB (0.968), XGB (0.959), ETC (0.918), DT (0.908), and SVM (0.574) models. The XGB model was used to develop the screening tool. CONCLUSION: We have developed and deployed a machine learning model for automated real-time pre-diabetes screening. The screening tool can be used over computers and can be transformed into software for easy usage. The detection of pre-diabetes in the pediatric age may help avoid its enhancement. Machine learning can also show great competence in determining important features in pre-diabetes.

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.

What is the out-of-pocket expenditure on medicines in India? An empirical assessment using a novel methodology.

The share of expenditure on medicines as part of the total out-of-pocket (OOP) expenditure on healthcare services has been reported to be much higher in India than in other countries. This study was conducted to ascertain the extent of this share of medicine expenditure using a novel methodology. OOP expenditure data were collected through exit interviews with 5252 out-patient department patients in three states of India. Follow-up interviews were conducted after Days 1 and 15 of the baseline to identify any additional expenditure incurred. In addition, medicine prescription data were collected from the patients through prescription audits. Self-reported expenditure on medicines was compared with the amount imputed using local market prices based on prescription data. The results were also compared with the mean expenditure on medicines per spell of ailment among non-hospitalized cases from the National Sample Survey (NSS) 75th round for the corresponding states and districts, which is based on household survey methodology. The share of medicines in OOP expenditure did not change significantly for organized private hospitals using the patient-reported vs imputation-based methods (30.74-29.61%). Large reductions were observed for single-doctor clinics, especially in the case of 'Ayurvedic' (64.51-36.51%) and homeopathic (57.53-42.74%) practitioners. After adjustment for socio-demographic factors and types of ailments, we found that household data collection as per NSS methodology leads to an increase of 25% and 26% in the reported share of medicines for public- and private-sector out-patient consultations respectively, as compared with facility-based exit interviews with the imputation of expenditure for medicines as per actual quantity and price data. The nature of healthcare transactions at single-doctor clinics in rural India leads to an over-reporting of expenditure on medicines by patients. While household surveys are valid to provide total expenditure, these are less likely to correctly estimate the share of medicine expenditure.

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.

Adherence to country-specific guidelines among economic evaluations undertaken in three high-income and middle-income countries: a systematic review.

OBJECTIVE: To assess the adherence of economic evaluations to the recommendations on principles of economic evaluation as stated in the country-specific guidelines for three countries across different income groups, namely, Canada, South Africa, and Egypt. METHODS: Searches were undertaken in three databases to identify economic evaluations meeting predefined inclusion criteria. Methodological and reporting standards listed in the country-specific guidelines were converted into discrete binary variables to calculate mean adherence scores. Quality appraisal was done using Drummond's checklist. Stratified analysis was undertaken to identify independent variables affecting adherence. RESULTS: We identified forty-four, seventy-nine, and sixteen economic evaluations for Canada, South Africa, and Egypt, respectively. The mean adherence score was the highest for Canada (71%), followed by South Africa (65%) and Egypt (60%). Adherence to guidelines was positively correlated with quality of studies, r = .72. Furthermore, the mean adherence score was significantly (p < .05) higher for studies using a cost-utility analysis design (72%), having local/national funding aid (72%), undertaken by a health economist (71%) and for pharmacoeconomic evaluations (70%). CONCLUSION: The quality of economic evaluations improves with adherence to country-specific guidelines. Locally funded and health-economist led health technology assessments (HTAs) should be encouraged for greater adherence to the guidelines. The HTA researchers and the HTA bodies should lay emphasis on adherence to the country-specific guidelines for improving the quality of HTA evidence.

National Healthcare Economic Evaluation Guidelines: A Cross-Country Comparison.

BACKGROUND AND OBJECTIVES: Globally, a number of countries have developed guidelines that describe the design and conduct of economic evaluations as part of health technology assessment (HTA) or pharmacoeconomic analysis for decision making. The current scoping review was undertaken with an objective to summarize the recommendations made on methods of economic evaluation by the national healthcare economic evaluation (HEE) guidelines. METHODOLOGY: A comprehensive search was undertaken in the website repositories of the International Society for Pharmacoeconomic and Outcomes Research (ISPOR) and Guide to Economic Analysis and Research (GEAR), and websites of national HTA agencies and ministries of health of individual countries. All guidelines in the English language were included in this review. Data were extracted with respect to general and methodological characteristics, and a descriptive analysis of recommendations made across the countries was undertaken. RESULTS: Overall, our review included 31 national HEE guidelines, published between 1997 and August 2020. Nearly half (45%) of the guidelines targeted the evaluation of pharmaceuticals. The nature of the guidelines was either mandatory (31%), recommendatory (42%), or voluntary (16%). There was a substantial consensus among the guidelines on several key principles, including type of economic evaluation (cost-utility analysis), time horizon of the analysis (long enough), health outcome measure (quality-adjusted life-years) and use of sensitivity analyses. The recommendations on study perspective, comparator, discount rate and type of costs to be included (particularly the inclusion of indirect costs) varied widely. CONCLUSION: Despite similarity in the overall processes, variation in several recommendations given by various national HEE guidelines was observed. This is perhaps unsurprising given the differences in the health systems and financing mechanisms, capacity of local researchers, and data availability. This review offers important lessons and a starting point for countries that are planning to develop their own HEE guidelines.

Factors Influencing COVID-19 Vaccination Intentions Among College Students: A Cross-Sectional Study in India.

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.

Prevalence of abdominal obesity in non-obese adolescents: a North Indian adolescent study.

Context Childhood obesity is defined based on body mass index (BMI) criteria. Asian adults have more abdominal adiposity as compared to Western people for an equivalent BMI. Similarly, children who are non-obese/overweight by BMI criteria may have abdominal obesity. It is important to identify and target this population to reduce future cardiovascular risk. Objective To evaluate and inter-relate the prevalence of obesity subtypes (generalized and abdominal) in school going adolescents. Methods A randomized cross-sectional community based study was conducted, which was carried out in 13 schools of Chandigarh, a North Indian city. 10,037 school going adolescents of age 10-18 years were evaluated. Results The prevalence of overweight and generalized obesity in present study was 9.3 and 4.9% respectively. Generalized obesity was observed in 4.2% of males and 5.7% of females (p-Value = 0.001). The abdominal obesity was noted in 5.4% of children and its prevalence increased progressively with age. The prevalence was highest in 16-18 years age-group (7.6%, p<0.001). 39.3% of abdominally obese subjects were not obese by BMI criteria, while prevalence of abdominal obesity in nonobese adolescents was 2.24%. It was more prevalent in females (3.7%) than males (3%, p=0.025). Prevalence of obesity was 7.9 and 1.8% in private and government schools respectively (p<0.001). Conclusions Abdominal obesity is more prevalent than generalized obesity and shows increasing trend with age. Interestingly, over one third of centrally obese adolescents are not obese by BMI criteria. This underlines the importance of waist circumference measurement in addition to BMI while assessing obesity.

Effectiveness of a culturally appropriate nutrition educational intervention delivered through health services to improve growth and complementary feeding of infants: A quasi-experimental study from Chandigarh, India.

BACKGROUND: Malnutrition is a major public health problem in India, especially among urban poor children. The objective of the study was to determine the effectiveness of a culturally appropriate nutrition educational intervention that can be delivered through health services and digitized child undernutrition tracking module for health workers to improve complementary feeding of infants of age six months to 12 months in Chandigarh, North India, to prevent malnutrition in infants. METHODS: A quasi-experimental study was conducted in a non-randomized intervention (Burail) and control area (Maloya) among a vulnerable population in Chandigarh, North India. The mother-infant dyads (MIDs) in the intervention group(n = 202) received culturally appropriate nutrition educational intervention, were supported individually by trained health workers in infant feeding and followed up for six months. Health workers were monitored through a digitized tracking module. The MIDs in the control group (n = 202) received routine care under the national health program. The mean (±S.D.) age of infants in the intervention and control group was 5.4 (±0.8) months and 5.5 (±0.7) months, respectively. The data was collected using a pre-tested semi-structured questionnaire and anthropometry of infants at baseline and end line. The primary outcome was a mean change in weight. The effectiveness of the intervention was measured by conducting the difference in difference (DID) analysis in mean change in weight between intervention and control group. RESULT: At baseline, the mean (±S.D.) weight of infants was 6.6(±0.64) kg and 6.6 (±0.52) kg in the intervention and control group. The mean (±S.D.) length of infants was 64.3 (±2.0) cm in the intervention group and 65.1 (±1.7) cm in the control group. Out of 404, 190 and 191 MIDs in the intervention and control group completed the study, respectively. A significantly higher number of infants in the intervention group were started on complementary feeding at six months of age (72.6% versus45.5%, p<0.01) and received foods having thick consistency (82.1% versus 41.9%, p<-0.01). There was significant weight gain in intervention group infants (DID means = 0.27 kg, p<0.01) and length gain (DID means = 0.9 cm, p<0.01) from the baseline. Also, there was significant decline in the proportion of undernourished (10% versus18.8%, OR = 0.47, p = 0.01) and wasted infants (7.3% versus15.7%, OR = 0.42, p = 0.01) in the intervention group. CONCLUSION: Community-based nutrition educational intervention delivered through the routine health services and digitized tracking of malnourished children can effectively improve the complementary feeding and growth of children six months to one year among vulnerable populations.