Performance of ChatGPT on the India Undergraduate Community Medicine Examination: Cross-Sectional Study.

BACKGROUND: Medical students may increasingly use large language models (LLMs) in their learning. ChatGPT is an LLM at the forefront of this new development in medical education with the capacity to respond to multidisciplinary questions. OBJECTIVE: The aim of this study was to evaluate the ability of ChatGPT 3.5 to complete the Indian undergraduate medical examination in the subject of community medicine. We further compared ChatGPT scores with the scores obtained by the students. METHODS: The study was conducted at a publicly funded medical college in Hyderabad, India. The study was based on the internal assessment examination conducted in January 2023 for students in the Bachelor of Medicine and Bachelor of Surgery Final Year-Part I program; the examination of focus included 40 questions (divided between two papers) from the community medicine subject syllabus. Each paper had three sections with different weightage of marks for each section: section one had two long essay-type questions worth 15 marks each, section two had 8 short essay-type questions worth 5 marks each, and section three had 10 short-answer questions worth 3 marks each. The same questions were administered as prompts to ChatGPT 3.5 and the responses were recorded. Apart from scoring ChatGPT responses, two independent evaluators explored the responses to each question to further analyze their quality with regard to three subdomains: relevancy, coherence, and completeness. Each question was scored in these subdomains on a Likert scale of 1-5. The average of the two evaluators was taken as the subdomain score of the question. The proportion of questions with a score 50% of the maximum score (5) in each subdomain was calculated. RESULTS: ChatGPT 3.5 scored 72.3% on paper 1 and 61% on paper 2. The mean score of the 94 students was 43% on paper 1 and 45% on paper 2. The responses of ChatGPT 3.5 were also rated to be satisfactorily relevant, coherent, and complete for most of the questions (>80%). CONCLUSIONS: ChatGPT 3.5 appears to have substantial and sufficient knowledge to understand and answer the Indian medical undergraduate examination in the subject of community medicine. ChatGPT may be introduced to students to enable the self-directed learning of community medicine in pilot mode. However, faculty oversight will be required as ChatGPT is still in the initial stages of development, and thus its potential and reliability of medical content from the Indian context need to be further explored comprehensively.

Comprehensive assessment of age-specific mortality rate and its incremental changes using a composite measure: A sub-national analysis of rural Indian women.

Background: Diverse 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 methods: A 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. Results: Improvement 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. Conclusion: An 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.

Measurement and mapping of maternal health service coverage through a novel composite index: a sub-national level analysis in India.

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.

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.

Determinants of respectful maternity care in India: A cross-sectional study.

Background: Respectful maternity care (RMC) is a basic right of all pregnant women. The study identifies the sociodemographic and economic factors influencing disrespect and abuse (D&A) faced by women during pregnancy, childbirth, and immediate postpartum period in India. Methodology: A cross-sectional study was conducted across six health facilities in three states of India from June 2019 to June 2020 among 401 women aged 18 years or more who had a live birth within the past 2 months of data collection. A validated structured interview schedule was used to capture data on sociodemographic and economic characteristics; antenatal, intranatal, and postnatal history; and incidences of D&A based on Bowser's seven domains of RMC. Ordered logistic regression was done to identify the determinant of high D&A. Results: The composite score of D&A ranged from 0 to 48 with a median interquartile range of 13 (9-17). All women faced one or the other kind of D&A. Women with the lowest food security (odds ratio [OR] = 3.3; 95% confidence interval: 1.6-6.7), who did not avail any antenatal care from the facility (OR = 1.9 [1.1-3.2]), and in the lowest wealth index (OR = 2.2 [1.3-3.7]) faced more D&A than those with high food security, more than two ANC services from same health facility, and in the high wealth index, respectively. Women who had low mobility score experienced lower D&A (OR = 0.5 [0.3-0.8]) as compared to the women with a high mobility score. Nonconsented care, nonconfidential care, and physical discomfort were the most common types of D&A. Conclusions: RMC is directly associated with socioeconomic status of women. Policy and program interventions are needed to address the inequity in health service care provision and expanding the social security net for women.

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.

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.

Biological attributes of age and gender variations in Indian COVID-19 cases: A retrospective data analysis.

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 (<35 years) which decreases with age. The odds for recovery among females was significantly higher than males. The chances of recovery declines with increasing age and the variation could be attributed to the biological differences between age categories and gender.

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.

The successful containment of COVID-19 outbreak in Union Territory of Ladakh, India, 2020.

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.