Striving for equity: exploring gender-inclusive medical leadership in India.

INTRODUCTION: There is a notable gap in studies examining the impact of gender within sociocultural norms in non-western professional settings, especially concerning the well-being of women physicians. METHODS: Using purposive sampling and thematic data analysis, we recorded interviews with 30 physicians in India during May-July 2023. Participants were aged 34 to 65 years, with experience ranging from five to 35 years, in various clinical (37%), surgical (30%), paraclinical (23%) and hospital administration (10%) roles, 97% were postgraduates and 53% were women. The research questions explored how leadership roles happened, managing key challenges, barriers and enablers, and practical interventions to support women into medical leadership positions. RESULTS: Findings revealed that the majority of interviewees believed gender-related barriers were obstructing women's progress and success in medical leadership roles in India. These barriers were identified within three overarching domains: (1) specialty, (2) organisational and (3) sociocultural. Interviewees commonly acknowledged the male-dominated landscape of medical leadership although some women stated that they did not perceive any barriers for women's advancement into leadership roles. Interestingly, some men surgeons held the perception that women might not be as effective in certain surgical disciplines, such as orthopaedics and neurosurgery. Some men physicians, however, considered women physicians in India to be highly effective multitaskers. CONCLUSION: We recommend structural reforms in medical education, leadership development, workplace systems and cultures, and improved implementation of equality, diversity and inclusion policies in the Indian context.

Challenges in setting up a large population-based prospective cohort study in India - learnings from the LoCARPoN cohort.

Population-based prospective cohort studies can yield vital new evidence. However, they are difficult to setup especially in non-western contexts such as India. We describe our experience in establishing the Longitudinal Cognition and Aging Research on Population of the National Capital Region (LoCARPoN) cohort, which was the first-of-its-kind public-funded study with target sample size of 15,000, 3 sites, and funds of approx. US$ five million for eight years (2014-2022). LoCARPoN aimed to study incident stroke and dementia in adults aged ≥50 years in urban and rural populations of north India. Among the numerous challenges encountered, important were inadequate funding, lack of adequate space for medical and field sites, difficulty in hiring manpower, lack of IT infrastructure, non-availability of storage facility for biological samples, and absence of dedicated MRI machines. Meticulous planning, adequate funding, trained personnel, institutional and community support are critical for establishing such cohorts in the non-western contexts. Funding: The LoCARPoN cohort study was funded by the Department of Biotechnology (Grant No. BT/IN/Netherlands/03/KP/2012 dated 14/02/2014); and Department of Health Research (Grant No. R.11012/15/2018-HR, dated 09/08/2018), Government of India. The Erasmus component was funded through the Erasmus Medical Centre, Rotterdam, The Netherlands, and the Erasmus University, Rotterdam (Alzheimer NederlandWE.15-2014-09).

Strengthening leadership capacity: an unaddressed issue in Indian healthcare system.

PURPOSE: Leadership skills are vital for efficient delivery of health reforms. India, a low- and middle-income country, is transforming its public health care significantly. The health workforce, particularly doctors, however lacks leadership skills. This study aims to highlight the leadership skills gap and raise concerns about how India might achieve its ambitious health reforms in the lack of formal, prospective leadership training for its workforce. DESIGN/METHODOLOGY/APPROACH: This study conducted nine management development programmes between 2012 and 2020 and collected data from 416 (N = 444, 94% response rate) health-care professionals using a questionnaire. Participants were asked to inform leadership challenges that they perceived critical. A total of 47 unique challenges were identified, which were distributed across five domains of American College of Healthcare Executives Competency Assessment Tool (2020). Relevant information was also obtained from review of secondary sources including journal articles from scientific and grey literature and government websites. FINDINGS: Majority of participants (85.36%) had never attended any management training and were from public sector (56.1%). Mean total experience was 18 years. Top 5 challenges were lack of motivation (54.26%), communication (52.38%), contracts management (48.31%), leadership skills (47.26%) and retention of workforce (45.56%). Maximum challenges (29) were in domain of business skills and knowledge, followed by knowledge of health-care environment (9), leadership, professionalism, and communication and relationship management (3 each). ORIGINALITY/VALUE: In absence of the leadership training, senior health professionals particularly doctors in India, suffer leadership challenges. Efforts should be made to strengthen leadership capacity in Indian health-care system to advance the country's ongoing national health reforms.

Customer Experience towards the Product during a Coronavirus Outbreak.

Nowadays, sentimental analysis of consumers' review is becoming much crucial in the marketing world. It is not just giving ideas to the firms that how consumers like their product or service, but it would also help them make their service better. In this article, the statistical method identifies the relationship of many factors in consumer feedback. It introduces a deep-based learning method called DSC (deep sentiment classifier) to determine whether or not to recommend the reviewed product thoroughly. Our suggested method also investigates the effect sizes of the feedback, such as positives, negatives, and neutrals. We used the women's clothing review dataset containing 22,642 records after preprocessing of the results. Experimental studies show that the recommendations are an excellent positive sentiment indicator. In comparison, ratings become fuzzy performance metrics in product reviews. The 10-fold cross-validation analysis shows that the recommended form has the top F1 score (93.56%) in the sentimental classification on average and the recommended classification (88.32%) on average. A comparative description of other classifiers focused on machine learning, for example, KNN, random forest, logistic regression, decision tree, support vector machine multilayer perceptron, and naïve Bayes, also demonstrates that DSC gives the best possible result. We have tested DSC on the dataset IMDB (Internet Video Database), which includes the sentiment of the 50,000 movie reviews (25000 for training and 25000 for testing). In comparison to other baseline methods, DSC obtained an excellent classification score for this experiment.

The Impact of Online Learning System on Students Affected with Stroke Disease.

Stroke, also known as a cerebrovascular accident, is a medical emergency that causes temporary or permanent behavioral dysfunction in people. Sleep deprivation affects our brains in a variety of ways. The advantages of sleep much justify the risks of not having enough sleep. Sleep deprivation (SD) includes a variety of factors, including prolonged awake. Neuroimaging investigates SD's impact on attention, working memory, mood, and hippocampal learning. We analyzed how this data enriches our mechanistic understanding of these alterations and the clinical illnesses linked with sleep disruption. We have used Cronbach's alpha to test the reliability of a scale, so we then have 19 individual attributes responding to 174 participants via survey. The evaluated result shows the reliability statistics; the value for Cronbach's alpha is .962, which is very excellent as it reaches 1. So, there is very strong reliability. If the value falls under .6, we look back to the mean and standard deviation table and remove the attribute with low values for mean or standard deviation and try the remaining attributes. Cronbach's alpha tells us which attribute or item to delete to increase the reliability, and we also have analyzed the correlation among the class students while watching the same video lecture. We have collected data for at least ten students watching the same video using a webcam. Once the data is collected, we then have applied some correlation techniques to determine the class students' behavior towards the same video lecture. This way, we can see the overall behavior of the class upon a specific video lecture. The study further reveals that subjective happiness is influenced by its efficiency, entertainment value, and effectiveness. Does the research offer an original emphasis on analyzing how does lack of sleep affect our brains? Sleep loss frameworks are minimal compared to the benefits of sleep.

Vaccinating a billion people against COVID-19: India's quest for systems leadership in exceptional times.

PURPOSE: In January 2021, India launched the world's most extensive vaccination campaign against COVID-19. It is estimated that India would need to vaccinate over a billion people to achieve herd immunity. Even though the Indian Government focuses on improving and delivering its vaccination programme, significant challenges still exist. This paper aims to discuss current challenges to scale up India's vaccination campaign and addresses strategies for achieving this. DESIGN/METHODOLOGY/APPROACH: The paper is based on a review of secondary sources, including journal articles from scholarly and grey literature and information available in the public domain. The search focused explicitly on the COVID-19 scenario, vaccination programme, public health management and systems leadership in the Indian health care system. FINDINGS: The analysis revealed that various factors have disrupted India's vaccination campaign, including shortage of vaccine doses, mandatory prior online registration, lack of infrastructure, safety concerns for older people, untrained workforce and absence of a solid public health framework. Furthermore, India appears to have struggled to reduce tensions and instill trust in its ability to effectively manage the COVID-19 pandemic and vaccination programme due to a lack of cooperation between union government, state governments and other stakeholders, namely, policymakers, hospitals, industry and community. ORIGINALITY/VALUE: The findings indicate that scaling up India's anti-COVID vaccination programme would require system-level leadership strategies that work within the country's limited resources. Deeper reforms in vaccine development, storage, delivery, training and regulatory frameworks are also needed to extend the world's largest anti-COVID-19 vaccination campaign.

Medical leadership competencies: A comparative study of physicians in public and private sector hospitals in India.

PURPOSE: Indian health care system comprising of public and private sectors needs enhancement of medical leadership capacity to face the growing challenges. Hence, this study was designed to evaluate medical leadership competencies of public and private sector doctors. FINDINGS: A survey questionnaire was developed to assess "self-assessed proficiency levels" as well as "perceived importance of competency levels," to which 532 doctors responded-290 (54.5%) from private sector and 242 (45.5%) from public sector hospitals. Statistically significant "leadership competency gap" was observed for all 30 leadership competencies in both sectors, more so in public sector. The 10 most deficient competencies were mainly in the NHS-MLCF domains of "working with others," "managing services," and "setting direction." The most low-rated competency among public sector doctors was "knowledge of HR, procurement, financial, and contract management" while "ability to influence key decision makers who determine future government policies" was most deficient among private sector physicians. Further, deficiencies related to "time and stress management" and "conducting need analysis, identifying and prioritizing requirements" were confined to public and private sector doctors, respectively. CONCLUSIONS: This study, first from India, highlights a critical need for medical leadership development programs in both sectors for enhancement of medical leadership capacity in the country.