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All Journal Social Science Research Journal Indonesian Journal of Social Sciences, Policy and Politics (IJSSPP)
Dr. Md. Ruhul Amin
Comilla University, Cumilla
Humanities Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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AN EXAMINATION OF THE CAUSES AND EXPERIENCES OF ELDERLY RESIDENTS IN KUSHTIA DISTRICT: THE RISE OF OLD AGE HOMES IN BANGLADESH Sobnur Hena; Nafiul Muid Muid; Dr. Md. Ruhul Amin; Morium khatun
Indonesian Journal of Social Sciences, Policy and Politics Vol. 4 No. 1 (2026): February 2026, Indonesian Journal of Social Sciences, Policy and Politics (IJSS
Publisher : Yayasan Wayan Marwan Pulungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69745/ijsspp.v4i1.159

Abstract

In Bangladesh, population aging is a significant issue because the number of older persons is increasing rapidly, following a decline in fertility and improvements in life expectancy. This qualitative exploratory study aimed to examine the antecedents of how older adults end up in nursing homes and their emotional/psychosocial experiences within these facilities. In this sense, the study identified several key themes based on personal interviews with residents of a government-registered nursing home in the Kushtia district of Bangladesh (n = 15). Thematic analysis indicated that the abuse and neglect by family members, in particular, adult children and daughters-in-law, are significant causes of institutionalization, accompanied by financial crisis, declining health, and absence of available caregivers. The changing demographics, characterized by decreasing fertility rates and the migration of young generations to new cities, have eroded traditional family support systems. Although the nursing home offers protection and some basic needs, most of the people who live there still suffer emotionally, feel lonely, and are dying to see and embrace their families. The Attachment Theory by Bowlby helps explain why the loss of primary caregivers leads older people to seek a safe place in institutions. The results emphasize the need to tighten laws, social security systems, and community-based geriatric interventions to support families in providing dignified care for the aging population in Bangladesh. Mental health services can be incorporated in nursing homes, further benefiting the health of older people who are institutionalized.
Artificial Intelligence in Developing Countries: A Systematic Review of Cross-Sector Applications, Implementation Challenges in South Asian countries. Md. Farhan Hossan Tamin; Dr. Md. Ruhul Amin; Md. Salim; Morium Akter shefa
Social Science Research Journal Vol. 3 No. 1 (2026): February
Publisher : Inovasi Saintific Review - Center of Policy Innovation and Social Politics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1234/ssrj.v3i1.62

Abstract

In South Asia countries like Bangladesh, India, Pakistan, Sri Lanka and Nepal, artificial intelligence (AI) is rapidly changing several sectors. AI has aided solar energy forecasting, disaster prediction, healthcare diagnostics, agriculture precision, HRM, financial compliance in Bangladesh. This discourse identifies various applications of AI/ML in the field of environmental studies, healthcare, education, agriculture, and smart energy systems, with a focus on the Indian context, aiming to augment predictive accuracy and personalization. AI is used in Pakistan, especially in, personalized e-learning, covid-19 detection and prediction, breeding plants, and data-driven business decisions by advanced deep learning models. AI for Good: Sri Lanka showcases Health Misinformation Detection and Digital Drones, Technology for the Public Sector, Chatbots for Education, and presents a strong position on governance and ethical issues Nepal — Nepal is also showing the early signs of AI adoption in healthcare, education, and fintech space. However, amid critical opportunities to boost productivity and decision-making, poor data quality, inadequate infrastructure, ethical considerations, skill gaps, and rural access problems call for tailor-fitting policies, as well as capacity bolstering.
Co-Authors Md. Farhan Hossan Tamin Md. Salim Morium Akter shefa Morium khatun Nafiul Muid Muid Sobnur Hena