Dr. Rashmi Saxena, Sudha Gautam, Dr. Arun Kumar

Obstetric Emergencies; Emergency Obstetric Care (Emoc); Postpartum Haemorrhage; Eclampsia, Maternal Sepsis; Decision-To-Delivery Interval; Simulation-Based Training; Obstetric Safety Bundles; Interprofessional Collaboration; Quality Improvement; Early Warning Systems; Maternal Mortality Reduction

Obstetric emergencies remain leading causes of maternal and neonatal morbidity and mortality globally, with the greatest burden in low-resource, high-volume settings. Effective modern management depends on rapid recognition, evidence-based response protocols, interdisciplinary coordination, and competency-based training programmes. This manuscript synthesises current evidence-based practices in management of major obstetric emergencies—postpartum haemorrhage, hypertensive crises with eclampsia, sepsis, obstructed labour, amniotic fluid embolism, and maternal cardiac arrest—incorporating findings from randomised controlled trials, systems research, simulation-based training studies, and implementation science. Methods of analysis include assessment of maternal stabilisation protocols, decision-to-delivery time optimisation, emergency obstetric care infrastructure, and team-based competency models. Evidence demonstrates that structured emergency response systems, strict implementation of clinical bundles, and simulation-based training dramatically reduce maternal complications and improve neonatal outcomes. Findings highlight the critical role of systems-level readiness, interprofessional teamwork, and data-driven quality improvement in strengthening obstetric safety. Achieving universal maternal health goals requires an integrated, evidence-based framework demanding sustained investment in research, policy, and obstetric education.

[1] Abdelhakm, E. M., & Said, A. R. (2017). Developing nursing management protocol for maternity nurses regarding emergency obstetric care. American Journal of Nursing Science, 6(5), 418–425.
[2] Amatullah, A. F. (2018). Using interprofessional simulation-based training to improve management of obstetric emergencies: A systematic review. Clinical Simulation in Nursing, 14, 45–53.
[3] Ameh, C. A., Mdegela, M., White, S., & Van Den Broek, N. (2019). The effectiveness of training in emergency obstetric care: a sys. literature review. Health Policy and Planning, 34(4), 257–270.
[4] Ayres-de-Campos, D. (2016). Obstetric emergencies. Springer.
[5] Burchuk, C. A. Q. (2025). Impact of an Evidence-Based Obstetrical Emergency Response System on Decision to Delivery Interval and Maternal NeonatalOutcomes (Dissertation, Georgetown University).
[6] Burns, R., & Dent, K. (2022). Managing medical and obstetric emergencies and trauma: a practical approach. John Wiley & Sons.
[7] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: ML in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285–312). IGI Global.
[8] Chaillet, N., Dubé, E., Dugas, M., Audibert, F., Tourigny, C., Fraser, W. D., & Dumont, A. (2006). Evidence-based strategies for implementing guidelines in obstetrics: a systematic review. Obstetrics & Gynecology, 108(5), 1234–1245.
[9] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303–322). IGI Global.
[10] Draycott, T. J., Collins, K. J., Crofts, J. F., Siassakos, D., Winter, C., Weiner, C. P., & Donald, F. (2015). Myths and realities of training in obstetric emergencies. Best Practice & Research Clinical Obstetrics & Gynaecology, 29(8), 1067–1076.
[11] El Sharkawy, A., Ali, F., & Araby, O. (2020). The Effect of Simulation-Based Educational Program on Maternity Nurses’ Performance regarding Obstetrical Emergencies during Pregnancy. Evidence-Based Nursing Research, 2(4), 11–24.
[12] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[13] Eppes, C. S., Han, S. B., Haddock, A. J., Buckler, A. G., Davidson, C. M., & Hollier, L. M. (2021). Enhancing obstetric safety through best practices. Journal of Women’s Health, 30(2), 265–269.
[14] Green, M., Rider, C., Ratcliff, D., & Woodring, B. C. (2015). Developing a systematic approach to obstetric emergencies. Journal of Obstetric, Gynecologic & Neonatal Nursing, 44(5), 677–682.
[15] Harvey, C. J. (2018). Evidence-based strategies for maternal stabilization and rescue in obstetric hemorrhage. AACN Advanced Critical Care, 29(3), 284–294.
[16] Martin, S. R., & Foley, M. R. (2006). Intensive care in obstetrics: an evidence-based review. American Journal of Obstetrics & Gynecology, 195(3), 673–689.
[17] Morrison, S. (2023). Recognition and Response to Obstetric Emergencies: Developing Virtual Competency Orientation Program.
[18] Paterson-Brown, S., & Howell, C. (Eds.). (2016). Managing obstetric emergencies and trauma. Cambridge University Press.
[19] Paxton, A., Maine, D., Freedman, L., Fry, D., & Lobis, S. (2005). The evidence for emergency obstetric care. International Journal of Gynecology & Obstetrics, 88(2), 181–193.
[20] Rajan, D. G., Ganeshan, D. M., Nee, D. T. B., & Jeganathan, D. T. (2025). Handbook of Obstetric Emergencies. Obstetrical and Gynaecological Society of Malaysia.
[21] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. U. J. of Public Health, 12(1), 37–50.
[22] Rathi, R., Chadha, L., & Grover, A. (2025). Fostering Expertise: Assessing the Impact of a Competency-based Program on Obstetric Emergency Management among Staff Nurses. Bharati Vidyapeeth Medical Journal, 5(1), 44–50.
[23] To, W. W. (2011). Training in emergency obstetric skills: is it evidence-based? Hong Kong Medical Journal, 17(2), 141.
[24] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[25] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263–290). IGI Global.

Dr. Mandvi Tarun, R. Jayapriya, Dr. Nidhi Tyagi

Gynecologic Oncology; Precision Medicine; Targeted Therapy; Immunotherapy; Artificial Intelligence; Minimally Invasive Surgery; Surgical De-Escalation; Telemedicine; Health Equity; Workforce Sustainability; Value-Based Care; Cancer Disparities.

Gynecologic oncology is undergoing transformative evolution driven by developments in molecular medicine, artificial intelligence integration, surgical innovation, telehealth expansion, and global health equity efforts. Advances in early detection models, biomarker-based targeted therapies, immunotherapy modalities, minimally invasive surgery, and surgical de-escalation have revolutionised the treatment paradigm for ovarian, cervical, and endometrial cancers. Simultaneously, demographic changes, workforce sustainability concerns, fundamental healthcare organisation challenges, and systemic inequalities are reshaping care delivery models. This paper synthesises emerging trends infiltrating gynecologic oncology in an evidence-based and holistic manner, incorporating diagnostic innovation, precision therapeutics, digital health, and surgical advances while addressing contemporary issues of workforce sustainability and global inequity. The analysis identifies precision oncology, AI-based diagnostics, telemedicine integration, multidisciplinary care, and equity-based systems as key pillars of contemporary gynecologic cancer care. Sustained interdisciplinary cooperation, policy innovation, and strategic infrastructure investment are identified as prerequisites for translating technological advances into equitable, sustainable, and patient-centric outcomes.

[1] Barakat, R. R., Markman, M., & Randall, M. (Eds.). (2009). Principles and practice of gynecologic oncology. Lippincott Williams & Wilkins.
[2] Boitano, T. K., Blank, S. V., Havrilesky, L. J., Huh, W. K., & Myers, E. R. (2024). Too much of a good thing? Projecting the need for gynecologic oncologists over the next 20 years. Gynecologic Oncology, 191, 287–291.
[3] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285–312). IGI Global.
[4] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303–322). IGI Global.
[5] Di Fiore, R., Suleiman, S., Ellul, B., O’toole, S. A., Savona-Ventura, C., Felix, A., & Calleja-Agius, J. (2021). GYNOCARE update: modern strategies to improve diagnosis and treatment of rare gynecologic tumors. Cancers, 13(3), 493.
[6] Doddi, S., Salichs, O., Mushuni, M., & Kunte, S. (2023). Demographic disparities in trend of gynecological cancer in the United States. Journal of Cancer Research and Clinical Oncology, 149(13), 11541–11547.
[7] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[8] Eskandar, K. (2024). Advancements in gynecology: A comprehensive review of emerging research and innovations. Journal of Medical and Clinical Nursing Studies.
[9] Hicks-Courant, K., Kanter, G. P., Giuntoli, R. L., Schapira, M. M., Bekelman, J. E., Latif, N. A., & Ko, E. M. (2021). An increase in multi-site practices: the shifting paradigm for gynecologic cancer care delivery. Gynecologic Oncology, 160(1), 3–9.
[10] Holcakova, J., Bartosik, M., Anton, M., Minar, L., Hausnerova, J., Bednarikova, M., & Hrstka, R. (2021). New trends in the detection of gynecological precancerous lesions and early-stage cancers. Cancers, 13(24), 6339.
[11] Kanbergs, A., Melamed, A., Viveros-Carreño, D., Wu, C. F., Wilke, R. N., Zamorano, A., & Agusti, N. (2025). Surgical deescalation within gynecologic oncology. JAMA Network Open, 8(1), e2453604.
[12] Kosimov, F. M. (2025). Modern Trends and Innovations in Gynecology: Advancements in Women’s Healthcare. Journal of Modern Educational Achievements, 3, 89–92.
[13] Kyrgiou, M., Bowden, S., Denny, L., Fagotti, A., Abu-Rustum, N. R., Ramirez, P. T., & Querleu, D. (2024). Innovation in gynaecological cancer: highlighting global disparities. The Lancet Oncology, 25(4), 425–430.
[14] Meena, J., Banerjee, D., Kim, S. I., Komatsu, H., Kwok, S. T., Lai, Y. L., & Noh, J. J. (2025). Current status and challenges in training the next generation of gynecologic cancer care providers in Asia. Journal of Gynecologic Oncology, 36(6), e103.
[15] Muller, C. Y. (2019). Gynecologic cancer care: innovative progress (Vol. 46, No. 1). Elsevier Health Sciences.
[16] Paiboonborirak, C., Abu-Rustum, N. R., & Wilailak, S. (2025). Artificial intelligence in the diagnosis and management of gynecologic cancer. International Journal of Gynecology & Obstetrics, 171, 199–209.
[17] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[18] Reade, C., & Elit, L. (2012). Trends in gynecologic cancer care in North America. Obstetrics and Gynecology Clinics, 39(2), 107–129.
[19] Rimel, B. J., Burke, W. M., Higgins, R. V., Lee, P. S., Lutman, C. V., & Parker, L. (2015). Improving quality and decreasing cost in gynecologic oncology care. Gynecologic Oncology, 137(2), 280–284.
[20] Shalowitz, D. I., & Moore, C. J. (2020). Telemedicine and gynecologic cancer care. Obstetrics and Gynecology Clinics, 47(2), 271–285.
[21] Temkin, S. M., Rimel, B. J., Bruegl, A. S., Gunderson, C. C., Beavis, A. L., & Doll, K. M. (2018). A contemporary framework of health equity applied to gynecologic cancer care. Gynecologic Oncology, 149(1), 70–77.
[22] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263–290). IGI Global.
[23] Wilson, E. M., Eskander, R. N., & Binder, P. S. (2024). Recent therapeutic advances in gynecologic oncology: A review. Cancers, 16(4), 770.
[24] Zhu, X., & Zhao, Y. (2025). Global research trends and focus areas in gynecologic oncology education: A bibliometric and network visualization study. Journal of Obstetrics and Gynaecology Research, 51(10), e70083.

Kunda Kelvin, Dr.Sumathi K. Sripathi

Comprehensive Sexuality Education; Teenage Pregnancy; Adolescent Health; Zambia; Digital Health Promotion; Sexual Health Literacy.

Teenage pregnancy remains one of the most significant obstacles to girls’ educational participation and completion in sub-Saharan Africa, with Zambia recording among the highest adolescent fertility rates in the region. Comprehensive Sexuality Education (CSE) has been identified globally as an evidence-based intervention for reducing teenage pregnancy rates, delaying sexual debut, and increasing contraceptive knowledge and use among adolescents. This article examines the effectiveness of CSE programmes in two secondary schools in Luampa District, Zambia, situating local findings within global scholarship on digital health promotion, AI-driven health literacy platforms, and adolescent reproductive health. Findings reveal that CSE, where effectively implemented, significantly improves adolescent sexual health knowledge, attitudes, and decision-making; however, implementation is constrained by teacher embarrassment, parental resistance, inadequate training, and limited integration of digital health resources. The study argues that AI-powered digital health literacy platforms, mobile-based peer education tools, and blockchain-enabled health record management offer promising complements to conventional CSE delivery. Policy recommendations are offered.

[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2020a). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[5] Ashifa, K. M. (2020b). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[6] Ashifa, K. M. (2021a). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[7] Ashifa, K. M. (2021b). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[8] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[9] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[10] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing patient engagement and outcomes through digital transformation. In Impact of digital transformation on business growth and performance (pp. 285–312). IGI Global Scientific Publishing.
[11] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[12] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[13] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices. Texila International Journal of Public Health, 13(2).
[14] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[15] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[16] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[17] Meena, G., Vettriselvan, R., Rajesh, D., & Velmurugan, P. R. (2025). Diversity and inclusion: Harnessing the power of inclusivity for business success. In Security and strategy models for key-solving institutional frameworks (pp. 203–234). IGI Global Scientific Publishing.
[18] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges. International Journal of Procurement Management, 24(1), 92–114.
[19] Mohanbabu, S., & Vettriselvan, R. (2025b). Will machine learning resolve the issues in container management. International Journal of Process Management and Benchmarking, 20(4), 559–575.
[20] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[21] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[22] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[23] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing. Indian Journal of Public Health Research & Development, 10(12).
[24] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[25] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[26] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[27] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[28] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[29] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[30] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[31] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[32] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[33] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[34] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[35] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[36] Vettriselvan, R., Selvi, K., Kumar, A. S., Ranjani, R. D., & Varshney, K. R. (2025d). Ranking methodologies: Criteria and controversies in global higher education. In Global university ranking systems: Methodologies, impact, and repercussions (pp. 109–140). IGI Global Scientific Publishing.
[37] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[38] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Dr. Venu Gupta, Anita Rani, Dr. Rashmi Sharma

Lifespan Women’s Health; Life Course Epidemiology; Preventive Healthcare; Reproductive Transitions; Menopause; Healthy Ageing; Social Determinants Of Health; Precision Medicine; Digital Health Integration; Gender Equity; Chronic Disease Prevention; Women’s Health Policy.

A lifespan approach to women’s health redefines clinical and public health practice, repositioning care from episodic, reproductive-centred models toward longitudinal, equity-based, prevention-oriented frameworks. Biological transitions including puberty, reproductive maturation, pregnancy, menopause, and ageing combine with cumulative psychosocial, environmental, occupational, and structural exposures to shape long-term health trajectories. This paper synthesises current evidence of women’s health from early development through older adulthood, drawing on life-course epidemiology, sex and gender-specific biomedical research, pharmacotherapeutic evidence, and social determinants models. Key domains examined include reproductive health, mental health, bone and cardiometabolic health, chronic disease prevention, nutrition, occupational health, digital transformation, and longevity science. Key findings demonstrate how early-life exposures relate to mid and later-life functioning, how structural inequalities compound health risks over decades, and how well-timed interventions at key developmental stages can maximise lifelong wellbeing. The paper concludes that interdisciplinary integration, precision medicine, digital engagement strategies, and equity-based policy reform are essential for comprehensive women’s healthcare optimisation throughout life.

[1] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[2] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[3] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[4] Baker, V. L. (2023). Health Promotion Across the Lifespan. Varney’s Midwifery, 127.
[5] Borgelt, L. M. (2010). Women’s health across the lifespan: A pharmacotherapeutic approach. ASHP.
[6] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285–312). IGI Global.
[7] Daniels, N. (1992). A lifespan approach to health care. In Aging and ethics: Philosophical problems in gerontology (pp. 227–246). Humana Press.
[8] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303–322). IGI Global.
[9] Edwards, D., & Layton, H. (2024). The lifespan approach. In A Textbook of Community Nursing (pp. 178–201). Routledge.
[10] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[11] Farrelly, C. (2025). Longevity science and women’s health and wellbeing. Journal of Population Ageing, 18(1), 43–62.
[12] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[13] Grady, D., Allore, H. G., Corbie, G., Covinsky, K. E., Durant, R. W., Ganguli, I., & Inouye, S. K. (2024). Improving women’s health across the life span. JAMA Internal Medicine, 184(5), 472–473.
[14] Hardy, R., Kuh, D., & Mishra, G. D. (2023). A life course approach to women’s health. A Life Course Approach to Women’s Health, 385.
[15] Langley-Evans, S. (2021). Nutrition, health and disease: A lifespan approach. John Wiley & Sons.
[16] Lutkiewicz, K., Bieleninik, Ł., Kaloeti, D. V. S., & Bidzan, M. (2023). Reproductive health and well-being from a life span perspective. Frontiers in Psychology, 14, 1289603.
[17] March, A. L. (2018). Women’s Health Across the Lifespan, An Issue of Nursing Clinics (Vol. 53, No. 2). Elsevier Health Sciences.
[18] McKinney, J. L., Clinton, S. C., & Keyser, L. E. (2024). Women’s health across the lifespan: A Sex- and Gender-Focused perspective. Physical Therapy, 104(10), pzae121.
[19] McPhee, C., Aninye, I. O., Horan, L., & Society for Women’s Health Research Bone Health Working Group. (2022). Recommendations for Improving Women’s Bone Health Throughout the Lifespan. Journal of Women’s Health, 31(12), 1671–1676.
[20] Olshansky, E. (2014). Women’s Health and Wellness Across the Lifespan. Lippincott Williams & Wilkins.
[21] Orshan, S. A. (2008). Maternity, newborn, and women’s health nursing: comprehensive care across the lifespan. Lippincott Williams & Wilkins.
[22] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[23] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[24] Rodin, J., & Ickovics, J. R. (1990). Women’s health: Review and research agenda as we approach the 21st century. American Psychologist, 45(9), 1018.
[25] Tollefson, M., Eriksen, N., & Pathak, N. (Eds.). (2021). Improving women’s health across the lifespan. CRC Press.
[26] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[27] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263–290). IGI Global.
[28] World Health Organisation. (1998). Women, ageing and health: achieving health across the life span (No. WHO/HPR/AHE/HPD/96.1). WHO.
[29] Wyn, R., & Solis, B. (2001). Women’s health issues across the lifespan. Women’s Health Issues, 11(3), 148–159.
[30] Yuksel, N. (2011). Women’s health across the lifespan: a pharmacotherapeutic approach. The Canadian Journal of Hospital Pharmacy, 64(2), 153.

Kwalombota Mulima, Dr. Siyumbwa Costa

Subject Specialisation; Primary Education; Lower Grades; Zambia, Senanga District; AI In Education; Digital Curriculum; Instructional Quality.

Subject specialisation the assignment of primary school teachers to specific subject areas rather than the conventional generalist class teaching approach has attracted growing scholarly and policy attention as a potential lever for improving instructional quality and learner outcomes in primary education. This article examines the effects of subject specialisation in lower primary grades (Grades 1–4) in four selected primary schools in Senanga District, Zambia, contextualising local findings within global scholarship on AI-powered personalised learning, digital curriculum design, and instructional specialisation. Evidence from a mixed-methods descriptive survey reveals that subject specialisation improves teacher subject knowledge confidence and instructional depth, but raises concerns about relationship continuity, transition management, and equity of subject attention in resource-constrained settings. The study argues that AI-driven adaptive curriculum platforms offer a complementary technological pathway for achieving personalised, subject-specific instruction without sacrificing the relational continuity that young primary learners require. Policy implications and recommendations are offered

[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[5] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations. In AI for large scale communication networks (pp. 303–322). IGI Global.
[6] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[7] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[8] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices. Texila International Journal of Public Health, 13(2).
[9] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[10] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[11] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[12] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges. International Journal of Procurement Management, 24(1), 92–114.
[13] Mohanbabu, S., & Vettriselvan, R. (2025b). Will machine learning resolve the issues in container management. International Journal of Process Management and Benchmarking, 20(4), 559–575.
[14] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[15] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[16] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[17] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[18] Swadhi, R., Velmurugan, P. R., Gayathri, K., & Catherine, S. (2025b). Evolving critical themes in advanced human resource management. In Critical aspects in advanced human resource management (pp. 75–102). IGI Global Scientific Publishing.
[19] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[20] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[21] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[22] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[23] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[24] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[25] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[26] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[27] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[28] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[29] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[30] Vettriselvan, R., Velmurugan, P. R., Suresh, N. V., & Catherine, S. (2025c). Strategies, best practices, and pitfalls in the era of digital transformation. In Impact of digital transformation on business growth and performance (pp. 67–98). IGI Global Scientific Publishing.
[31] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[32] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026a). Navigating ethics, society, and governance in the digital age. In Ethics, justice, and governance in the age of AI and digital societies (pp. 1–26). IGI Global Scientific Publishing.
[33] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Kalimukwa Masiyaleti Ruth, Dr. Siyumbwa Costa

Inclusive Education; Pupils with Disabilities; Zambia; Assistive Technology; Digital Transformation; Educational Equity; Special Need.

Inclusive education the principle that all learners, regardless of disability or special educational need, should be educated in mainstream school settings with appropriate support represents a globally endorsed but unevenly implemented educational ideal. In Zambia, inclusive schools in Mongu District, Western Province, face significant challenges in providing equitable access for pupils with disabilities, ranging from physical infrastructure barriers and attitudinal discrimination to teacher capacity deficits and inadequate assistive technology provision. This article examines these challenges through a descriptive survey of three selected inclusive schools, situating local findings within global scholarship on digital transformation, AI-powered assistive technologies, and disability-inclusive education policy. The study argues that strategic deployment of digital assistive technologies, inclusive AI-powered learning platforms, and community-based disability support systems offers promising pathways for advancing educational equity for pupils with disabilities in resource-constrained Zambian contexts. Policy and practice recommendations are offered.

[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2021a). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[5] Ashifa, K. M. (2021b). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[6] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations. In AI for large scale communication networks (pp. 303–322). IGI Global.
[7] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[8] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[9] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices. Texila International Journal of Public Health, 13(2).
[10] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[11] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[12] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[13] Meena, G., Vettriselvan, R., Rajesh, D., & Velmurugan, P. R. (2025). Diversity and inclusion: Harnessing the power of inclusivity for business success. In Security and strategy models for key-solving institutional frameworks (pp. 203–234). IGI Global Scientific Publishing.
[14] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges. International Journal of Procurement Management, 24(1), 92–114.
[15] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[16] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[17] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[18] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing. Indian Journal of Public Health Research & Development, 10(12).
[19] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[20] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[21] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[22] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[23] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[24] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[25] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[26] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[27] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[28] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[29] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[30] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[31] Vettriselvan, R., Velmurugan, P. R., Suresh, N. V., & Catherine, S. (2025c). Strategies, best practices, and pitfalls in the era of digital transformation. In Impact of digital transformation on business growth and performance (pp. 67–98). IGI Global Scientific Publishing.
[32] Vettriselvan, R., Selvi, K., Kumar, A. S., Ranjani, R. D., & Varshney, K. R. (2025d). Ranking methodologies: Criteria and controversies in global higher education. In Global university ranking systems: Methodologies, impact, and repercussions (pp. 109–140). IGI Global Scientific Publishing.
[33] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[34] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Dr. Anjali Gupta, Mohini Dhabhai, Dr. Nitin Kumar

Minimally Invasive Gynecologic Surgery: Laparoscopy: Robotic Surgery: Gynecologic Oncolog: Enhanced Recovery; Surgical Safety; Morcellation; Perioperative Outcomes; Subspecialty Training; Quality Metrics.

Minimally invasive gynecologic surgery (MIGS) has transformed the management of benign and malignant gynecologic conditions by reducing perioperative morbidity, shortening hospital stay, and improving recovery profiles. However, safety concerns, oncologic integrity, surgical dissemination risks, and training variability continue to generate debate. This study evaluates clinical outcomes, perioperative safety, and structural determinants influencing MIGS effectiveness using a retrospective multicenter cohort of 1,120 patients undergoing laparoscopic, robotic, single-port, or minilaparoscopic procedures. Primary endpoints included complication rate, conversion to laparotomy, length of stay (LOS), 30-day readmission, and oncologic recurrence. Logistic regression modelling identified high surgical volume (β=−0.42, p<0.001), subspecialty training (β=−0.37, p<0.001), and enhanced recovery pathway implementation (β=−0.29, p<0.01) as significant protective factors against adverse outcomes. Robotic approaches demonstrated lower conversion rates (4.8%) compared to conventional laparoscopy (7.6%, p<0.05). Morcellation-related concerns were significantly associated with unexpected malignancy dissemination risk (β=0.41, p<0.01). The final model explained 86% of variance in composite surgical outcomes (R²=0.86). Findings reinforce that MIGS offers superior perioperative safety when implemented within structured training, quality monitoring, and enhanced recovery systems.

[1] Abel, M. K., Kho, K. A., Walter, A., & Zaritsky, E. (2019). Measuring quality in minimally invasive gynecologic surgery: what, how, and why? Journal of Minimally Invasive Gynecology, 26(2), 321–326.
[2] Ayoub, N. L., Shin, R., Tseng, J., & Francoeur, A. A. (2025). Minimally invasive surgery in gynecologic oncology: a narrative review of controversies and clinical implications. Gynecology and Pelvic Medicine, 8.
[3] Burns, C., Cantave, M., Mulligan, C., Bardawil, E., De Souza, K., Scholl, K., & Ross, W. (2025). Examining the Impact of a Minimally Invasive Gynecologic Surgery Safety-Net Clinic on Fibroid Surgery: A Retrospective before & after Study. Journal of Minimally Invasive Gynecology, 32(11), S2.
[4] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285–312). IGI Global.
[5] Chapman, J. S., Roddy, E., Ueda, S., Brooks, R., Chen, L. L., & Chen, L. M. (2016). Enhanced recovery pathways for improving outcomes after minimally invasive gynecologic oncology surgery. Obstetrics & Gynecology, 128(1), 138–144.
[6] Conrad, L. B., Ramirez, P. T., Burke, W., Naumann, R. W., Ring, K. L., Munsell, M. F., & Frumovitz, M. (2015). Role of minimally invasive surgery in gynecologic oncology: an updated survey. International Journal of Gynecological Cancer, 25(6), 1121–1127.
[7] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303–322). IGI Global.
[8] Driessen, S. R., Sandberg, E. M., Rodrigues, S. P., van Zwet, E. W., & Jansen, F. W. (2017). Identification of risk factors in minimally invasive surgery: a prospective multicenter study. Surgical Endoscopy, 31(6), 2467–2473.
[9] Hall, T., Lee, S. I., Boruta, D. M., & Goodman, A. (2015). Medical device safety and surgical dissemination of unrecognized uterine malignancy: morcellation in minimally invasive gynecologic surgery. The Oncologist, 20(11), 1274–1282.
[10] Kalogera, E., Glaser, G. E., Kumar, A., Dowdy, S. C., & Langstraat, C. L. (2019). Enhanced recovery after minimally invasive gynecologic procedures with bowel surgery: a systematic review. Journal of Minimally Invasive Gynecology, 26(2), 288–298.
[11] Koo, Y. J. (2018). Recent advances in minimally invasive surgery for gynecologic indications. Yeungnam University Journal of Medicine, 35(2), 150–155.
[12] Koskas, M., Jozwiak, M., Fournier, M., Vergote, I., Trum, H., Lok, C., & Amant, F. (2016). Long-term oncological safety of minimally invasive surgery in high-risk endometrial cancer. European Journal of Cancer, 65, 185–191.
[13] La Verde, M., Riemma, G., Tropea, A., Biondi, A., & Cianci, S. (2022). Ultra-minimally invasive surgery in gynecological patients: a review of the literature. Updates in Surgery, 74(3), 843–855.
[14] Matsuzaki, S., Klar, M., Chang, E. J., Matsuzaki, S., Maeda, M., Zhang, R. H., & Matsuo, K. (2021). Minimally invasive surgery and surgical volume-specific survival and perioperative outcome: unmet need for evidence in gynecologic malignancy. Journal of Clinical Medicine, 10(20), 4787.
[15] Meyer, R., Schneyer, R. J., Hamilton, K. M., Levin, G., Truong, M. D., Siedhoff, M. T., & Wright, K. N. (2025). The Impact of Minimally Invasive Gynecologic Surgery Subspecialty Training on Outcomes of Benign Laparoscopic Hysterectomy: A Retrospective Cohort Study. Journal of Minimally Invasive Gynecology, 32(2), 143–150.
[16] Reza, M., Maeso, S., Blasco, J. A., & Andradas, E. (2010). Meta-analysis of observational studies on the safety and effectiveness of robotic gynaecological surgery. Journal of British Surgery, 97(12), 1772–1783.
[17] Rossitto, C., Cianci, S., Alletti, S. G., Perrone, E., Pizzacalla, S., & Scambia, G. (2017). Laparoscopic, minilaparoscopic, single-port and percutaneous hysterectomy: Comparison of perioperative outcomes. European Journal of Obstetrics & Gynecology and Reproductive Biology, 216, 125–129.
[18] Schlaerth, A. C., & Abu-Rustum, N. R. (2006). Role of minimally invasive surgery in gynecologic cancers. The Oncologist, 11(8), 895–901.
[19] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275–306). IGI Global.
[20] Stewart, K. I., & Fader, A. N. (2017). New developments in minimally invasive gynecologic oncology surgery. Clinical Obstetrics and Gynecology, 60(2), 330–348.

Dr. Surabhi Katyal, Dr. R. Manohari Shivakumar, Dr. Shiv Kumar Gupta

Postpartum Mental Health; Postpartum Depression; Perinatal Psychiatry; Bipolar Relapse; Social Support; Socioeconomic Vulnerability; Sleep Disruption; Maternal Mental Health Screening; Preventive Psychiatry; Biopsychosocial Framework.

Postpartum mental health disorders (PMHDs) represent a significant and often underdiagnosed category of birth complications whose implications extend to offspring development, family stability, and long-term health. Neuroendocrine fluctuations, immune modulation, psychosocial stress, and chronic sleep deprivation collectively increase psychiatric susceptibility in the postpartum period. This study examines the epidemiology, risk factors, clinical progression, and preventive measures of postpartum depression, anxiety disorders, bipolar relapse, and postpartum psychosis using a retrospective multicentre cohort of 1,040 women evaluated within the first twelve weeks postpartum. Multivariate logistic regression identified prior psychiatric history (β=0.64, OR=3.52, p<0.001), low social support (β=0.56, OR=3.01, p<0.001), socioeconomic vulnerability (β=0.47, OR=2.59, p<0.01), obstetric complications (β=0.41, OR=2.03, p<0.01), and severe sleep disruption (β=0.38, OR=1.95, p<0.01) as key independent predictors of postpartum psychiatric morbidity (R²=0.90). Universal paediatric-integrated screening reduced untreated cases by 39% compared to obstetric-visit-only screening (p<0.001). Results reinforce that PMHDs are complex biopsychosocial disorders requiring structured early identification, interdisciplinary treatment, and policy-level reform.

[1] Boyd, R. C., Pearson, J. L., & Blehar, M. C. (2002). Prevention and treatment of depression in pregnancy and the postpartum period—summary of a maternal depression roundtable: a US perspective. Archives of Women’s Mental Health, 4(3), 79–82.
[2] Brockington, I. (2004). Diagnosis and management of post-partum disorders: a review. World Psychiatry, 3(2), 89.
[3] Brockington, I. (2004). Postpartum psychiatric disorders. The Lancet, 363(9405), 303–310.
[4] Byatt, N., Biebel, K., Friedman, L., Debordes-Jackson, G., & Ziedonis, D. (2013). Women’s perspectives on postpartum depression screening in pediatric settings: a preliminary study. Archives of Women’s Mental Health, 16(5).
[5] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285–312). IGI Global.
[6] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303–322). IGI Global.
[7] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[8] Gale, S., & Harlow, B. L. (2003). Postpartum mood disorders: a review of clinical and epidemiological factors. Journal of Psychosomatic Obstetrics & Gynecology, 24(4), 257–266.
[9] Garapati, J., Jajoo, S., Aradhya, D., Reddy, L. S., Dahiphale, S. M., Patel, D. J., & Dahiphale, S. M. (2023). Postpartum mood disorders: insights into diagnosis, prevention, and treatment. Cureus, 15(7).
[10] Ji, Q. Q., & Wang, M. Y. (2025). Epidemiology, pathophysiology, and interventions for postpartum depression: Systematic review. World Journal of Clinical Cases, 13(29), 110948.
[11] Khamidullina, Z., Marat, A., Muratbekova, S., Mustapayeva, N. M., Chingayeva, G. N., Shepetov, A. M., & Aimagambetova, G. (2025). Postpartum Depression Epidemiology, Risk Factors, Diagnosis, and Management. Journal of Clinical Medicine, 14(7), 2418.
[12] Meltzer-Brody, S., Howard, L. M., Bergink, V., Vigod, S., Jones, I., Munk-Olsen, T., & Milgrom, J. (2018). Postpartum psychiatric disorders. Nature Reviews Disease Primers, 4(1), 1–18.
[13] Michalczyk, J., Miłosz, A., & Soroka, E. (2023). Postpartum psychosis: a review of risk factors, clinical picture, management, prevention, and psychosocial determinants. Medical Science Monitor, 29, e942520-1.
[14] Modak, A., Ronghe, V., Gomase, K. P., Mahakalkar, M. G., & Taksande, V. (2023). A comprehensive review of motherhood and mental health: postpartum mood disorders in focus. Cureus, 15(9), e46209.
[15] Moore, J. E., McLemore, M. R., Glenn, N., & Zivin, K. (2021). Policy Opportunities To Improve Prevention, Diagnosis, And Treatment Of Perinatal Mental Health Conditions. Health Affairs, 40(10), 1534–1542.
[16] Pariser, S. F., Nasrallah, H. A., & Gardner, D. K. (1997). Postpartum mood disorders: clinical perspectives. Journal of Women’s Health, 6(4), 421–434.
[17] Rai, S., Pathak, A., & Sharma, I. (2015). Postpartum psychiatric disorders: Early diagnosis and management. Indian Journal of Psychiatry, 57(Suppl 2), S216–S221.
[18] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[19] Stone, S. D., & Menken, A. E. (Eds.). (2008). Perinatal and postpartum mood disorders: Perspectives and treatment guide for the health care practitioner. Springer Publishing Company.
[20] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263–290). IGI Global.

Dr. Neelima Agarwal, Ghanshyam Singh, Manish Samyal

Reproductive Health; Socioeconomic Inequality; Adolescent Reproductive Health; Contraception Access; Rural Health Disparities; Gender Inequity; Structural Determinants; Digital Health Innovation; Reproductive Justice; Integrated Health Systems.

Reproductive health outcomes remain profoundly shaped by socioeconomic disparities across global contexts. Despite international commitments to universal sexual and reproductive health coverage, inequalities persist in access to contraception, maternal care, adolescent reproductive services, and gynaecological care. This analytical study examines reproductive health challenges across diverse socioeconomic settings using a retrospective cross-sectional dataset of 780 women aged 15–49 years from urban, peri-urban, and rural regions. Logistic regression analysis revealed that low socioeconomic status (β=0.58, p<0.001), rural residence (β=0.44, p<0.001), and low educational attainment (β=0.49, p<0.001) significantly predicted limited reproductive healthcare utilisation. Urban inequality clusters demonstrated significant disparities in contraceptive access (β=0.36, p<0.01). Integrated service exposure reduced unmet need by 32% (p<0.01). The final model explained 84% of variance in reproductive health outcomes (R²=0.84, χ²=412.7, p<0.001). Findings underscore that reproductive health disparities are structurally embedded within socioeconomic systems, requiring multisectoral integration, digital innovation, community-based outreach, and structural reform.

[1] Adler, A., Biggs, M. A., Kaller, S., Schroeder, R., & Ralph, L. (2023). Changes in the frequency and type of barriers to reproductive health care between 2017 and 2021. JAMA Network Open, 6(4), e237461.
[2] Akwara, E., Pinchoff, J., Abularrage, T., White, C., & Ngo, T. D. (2023). The urban environment and disparities in sexual and reproductive health outcomes in the global south: a scoping review. Journal of Urban Health, 100(3), 525–561.
[3] Arousell, J., Carlbom, A., Johnsdotter, S., & Essén, B. (2019). Are “low socioeconomic status” and “religiousness” barriers to minority women’s use of contraception? Midwifery, 75, 59–65.
[4] Benyamini, Y., & Todorova, I. (2017). Women’s reproductive health in sociocultural context. International Journal of Behavioral Medicine, 24(6), 799–802.
[5] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285–312). IGI Global.
[6] Culhane, J. F., & Elo, I. T. (2005). Neighbourhood context and reproductive health. American Journal of Obstetrics and Gynecology, 192(5), S22–S29.
[7] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303–322). IGI Global.
[8] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[9] Kapoor, R., Panner Selvam, M. K., & Sikka, S. C. (2025). Impact of Socioeconomic Status on Male Reproductive Health: A Mini Review. Reproductive Medicine, 6(4), 44.
[10] Mayer, K. H., Beyrer, C., Cohen, M. S., El-Sadr, W. M., Grinsztejn, B., Head, J. M., & Bekker, L. G. (2025). Challenges and opportunities in developing integrated sexual and reproductive health programmes. The Lancet, 406(10515), 2168–2190.
[11] Meekers, D., & Rahaim, S. (2005). The importance of socio-economic context for social marketing models for improving reproductive health. BMC Public Health, 5(1), 10.
[12] Morris, J. L., & Rushwan, H. (2015). Adolescent sexual and reproductive health: The global challenges. International Journal of Gynecology & Obstetrics, 131, S40–S42.
[13] Ogundele, O. J., Pavlova, M., & Groot, W. (2020). Socioeconomic inequalities in reproductive health care services across Sub-Saharan Africa: A systematic review and meta-analysis. Sexual & Reproductive Healthcare, 25, 100536.
[14] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[15] Rani, M., & Lule, E. (2004). Exploring the socioeconomic dimension of adolescent reproductive health: a multicountry analysis. International Family Planning Perspectives, 110–117.
[16] Robinson, N., Stoffel, C., & Haider, S. (2015). Global women’s health is more than maternal health: a review of gynecology care needs in low-resource settings. Obstetrical & Gynecological Survey, 70(3), 211–222.
[17] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275–306). IGI Global.
[18] Singh, S., Darroch, J. E., & Frost, J. J. (2001). Socioeconomic disadvantage and adolescent women’s sexual and reproductive behavior: the case of five developed countries. Family Planning Perspectives, 251–289.
[19] Sommer, M., & Mmari, K. (2015). Addressing structural and environmental factors for adolescent sexual and reproductive health in low- and middle-income countries. American Journal of Public Health, 105(10), 1973–1981.
[20] Sutton, M. Y., Anachebe, N. F., Lee, R., & Skanes, H. (2021). Racial and ethnic disparities in reproductive health services and outcomes, 2020. Obstetrics & Gynecology, 137(2), 225–233.
[21] Wood, S. M., Alston, L., Chapman, A., Lenehan, J., & Versace, V. L. (2024). Barriers and facilitators to women’s access to sexual and reproductive health services in rural Australia: a systematic review. BMC Health Services Research, 24(1), 1221.

Jwau Pelekelo, Dr.Sumathi K. Sripathi

Climate Change; Agriculture; Household Welfare; Zambia; Western Province; Artificial Intelligence; Digital Transformation; Climate Resilience.

Climate change poses an existential challenge to agricultural productivity and household welfare in sub-Saharan Africa, with Zambia’s Western Province including Mongu District particularly vulnerable to recurrent droughts, flooding, and erratic rainfall patterns that devastate subsistence farming livelihoods. This article examines the impact of climate change on agricultural systems and household welfare in Western Province, Zambia, contextualising local realities within global scholarship on artificial intelligence, digital transformation, and data-driven climate resilience. The study argues that AI-powered climate analytics, precision agriculture technologies, blockchain-enabled supply chain management, and community-based digital early warning systems offer promising pathways for building climate resilience in vulnerable rural communities. Evidence is drawn from a descriptive survey of households in Mongu District, supplemented by global scholarly literature. Findings confirm that climate variability significantly reduces crop yields, food security, and household income, while identifying digital technology adoption, diversified livelihoods, and social capital as key resilience resources. Policy implications for government, civil society, and international partners are discussed.

[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2020a). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[5] Ashifa, K. M. (2020b). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[6] Ashifa, K. M. (2021a). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[7] Ashifa, K. M. (2021b). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[8] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[9] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[10] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations. In AI for large scale communication networks (pp. 303–322). IGI Global.
[11] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[12] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[13] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices in business schools in India. Texila International Journal of Public Health, 13(2).
[14] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[15] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[16] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[17] Meena, G., Vettriselvan, R., Rajesh, D., & Velmurugan, P. R. (2025). Diversity and inclusion: Harnessing the power of inclusivity for business success. In Security and strategy models for key-solving institutional frameworks (pp. 203–234). IGI Global Scientific Publishing.
[18] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges from the lens of Indian industries’ perspectives. International Journal of Procurement Management, 24(1), 92–114.
[19] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[20] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[21] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[22] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing. Indian Journal of Public Health Research & Development, 10(12).
[23] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging artificial intelligence for enhancing urban health. In Nexus of AI, climatology, and urbanism for smart cities (pp. 275–306). IGI Global.
[24] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[25] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[26] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[27] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[28] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[29] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[30] Venice, J. A., Sripathi, S. K., & Moonga, B. (2025e). Social deviance and the influence of internet exposure. ASET Journal of Management Science, 4(SI-1).
[31] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[32] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[33] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[34] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[35] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[36] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[37] Vettriselvan, R., Velmurugan, P. R., Suresh, N. V., & Catherine, S. (2025c). Strategies, best practices, and pitfalls in the era of digital transformation. In Impact of digital transformation on business growth and performance (pp. 67–98). IGI Global Scientific Publishing.
[38] Vettriselvan, R., Selvi, K., Kumar, A. S., Ranjani, R. D., & Varshney, K. R. (2025d). Ranking methodologies: Criteria and controversies in global higher education. In Global university ranking systems: Methodologies, impact, and repercussions (pp. 109–140). IGI Global Scientific Publishing.
[39] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[40] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026a). Navigating ethics, society, and governance in the digital age. In Ethics, justice, and governance in the age of AI and digital societies (pp. 1–26). IGI Global Scientific Publishing.
[41] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.