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This research aims to explore childhood construction in the Afghan refugee community living in Pakistan. Young Afghan people aged 12–18 who were working on the streets participated in the generation of data for this study in 2019. Ethnographic research approaches with semi-structured in-depth interviews and field observations were used to obtain real insights. Young Afghan refugees have been a constant phenomenon on the streets for decades in the twin cities of Pakistan – Rawalpindi and Islamabad – where this research was conducted and are involved in different street-based casual activities. The findings show that young people face discrimination and exclusion from the mainstream of society due to their undefined citizenship status and poverty. Parents see their children as dependents and as assets for their old age, and children and young people need to work to support their families who live in poverty. In fulfilling their filial responsibilities, young people sacrifice their schooling and have limited opportunities to learn new skills. It is concluded that the government and other international institutions with responsibility for setting policies and creating programs for young Afghan refugees need to understand the dynamics of the families in which the young people live and how these families inculcate them with their generational values.

The mass exodus of the professional healthcare workforce has become a cankerworm for a developing nation like Nigeria, and this worsens the already depleted healthcare systems in underdeveloped nation. This study investigated the rationale behind medical workers' brain-drain syndrome and the quality healthcare delivery in the Nigerian public healthcare sector.

To stimulate an understanding of the effect of the phenomenon called brain drain, the study adopted a diagnostic research design to survey the public healthcare personnel in government hospitals. The study administered a battery of adapted research scales of different measures to confirm the variables of interest of this study on a probability sampling strategy. The study surveyed 450 public healthcare sector employees from four government hospitals to gather pertinent data. The study used a structural equation model (SEM) and artificial neural networks (ANNs) to analyse the collected data from the medical personnel of government hospitals.

The findings of this study are significant as postulated. The study discovered that poor quality worklife experienced by Nigerian medical personnel was attributed to the brain-drain effect and poor healthcare delivery. The study further demonstrated that job dissatisfaction suffered among the public healthcare workforce forced the workforce to migrate to the international labour market, and this same factor is a reason for poor healthcare delivery. Lastly, the study discovered that inadequate remuneration and pay discouraged Nigerian professionals and allied healthcare workers from being productive and ultimately pushed them to the global market.

Practically, this study has shown three major elements that caused the mass movement of Nigerian healthcare personnel to other countries of the world and that seems novel given the peculiarity of the Nigerian labour market. The study is original and novel as much study has not been put forward in the public healthcare sector in Nigeria concerning this phenomenon.