Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Session Chair: Christian Stegbauer Session Chair: Shan Shi
Presentations
12:00pm - 12:20pm
Adaptation of migrant young mothers: case of Russian migrants after February 2022
Aryuna Kim
Higher school of Economics, Kazakhstan
After the events of February 24, 2022, many Russians left the country. Although there are no exact statistics, according to demographers, it is possible to estimate the scale of relaxation in the range from 550 to 800 thousand people . The relocation of Russians after February 24, 2022 is a controversial topic both in the media and on the academic agenda. This work reveals the study of transit to parenthood in the conditions of relocation. The term "relocation" (unlike "emigration") denotes an ambiguous status of stay in a new country, i.e. those who have moved do not give an unambiguous decision in which country they would like to live, whether they will return back and how long they plan to live in the host country. Those who have moved identify themselves as relocators, emphasizing possible alternatives to moving to other countries or returning to their homeland. This object is interesting in two aspects: from the point of view of the current agenda, the relocates' connections and relationships change during the period of adaptation to a new place, as well as in connection with the first experience of parenthood, interactions also acquire a new focus, and from the point of view of methodology, qualitative network analysis allows us to identify social circles of relations, new meanings of these relations and a strategy for adapting to a new life in parenthood and relocation. Qualitative social network analysis as method is able to identify the perception of network relationships among relocates and characterize new values of relationships due to changes in the social circle before and after the birth of a child and relocation. Data collection took place using a semi-formalized interview, in which network data was collected to build network maps.
12:20pm - 12:40pm
Social Capital Impact on Free Riding Behavior in Padang’s Self-Guards Managed Railway Crossing
Davy Hendri1, Nurmina Nurmina2
1UIN Imam Bonjol Padang, Indonesia; 2Universitas Negeri Padang
An unguarded railway level crossing in Padang, Indonesia, presents a critical safety risk. This study investigates how social capital’s community group size, and duration of residence in the neighborhood interact to influence collective action for shared safety. The collective action is in the form of conscious participation in an initiative to finance railway crossing guards provided from, by and for the community. Using two-stage probit regression, the analysis uses duration of residence in the neighborhood as an instrumental variable for social capital to address potential endogeneity. Not necessarily, the longer residents live in the neighborhood generates the willingness to participate. It is possible that living longer in an area leads to a decline in social capital due to economic stagnation and social fragmentation. Especially in disadvantaged neighborhoods. These dynamics illustrate the complex interactions between duration of residence, group size and social capital. These interactions will lead to a wide variety of responses in maintaining grassroots safety efforts.
12:40pm - 1:00pm
Understanding the Role of Sociodemographic Variables in Patient-sharing Provider Networks: A Social Network Analysis Approach
Shakir Karim, Dr. Jin Xue, Dr. Hoonyong Lee
University of Sydney, Australia
Effective collaboration among healthcare providers is essential for delivering high-quality healthcare services and improving patient outcomes. Synergies from interdisciplinary efforts yield more significant benefits than individual efforts alone. However, ineffective collaboration, poor communication, and inadequate care coordination often result in poor efficiency, such as misdiagnoses, poor patient engagement, and suboptimal treatment management. Understanding the structural dynamics of patient-sharing provider networks (PSNs) is vital for evaluating healthcare service efficiency. This study employs a social network analysis (SNA)-based approach to construct PSNs and evaluate how PSN structures and patient sociodemographic factors influence healthcare operations and service delivery. It uses administrative claims data collected from the Macarthur and Parramatta-Hills district regions of New South Wales (NSW), Australia. The analysis compares two regions and explores socio-demographic attributes—gender, age, education, and income—examining their influence on healthcare accessibility. Findings indicate that Macarthur has lower graph density than Parramatta-Hills, reflecting weaker provider connections. Macarthur’s higher clustering coefficient indicates strong local coordination, with providers frequently sharing patients within small groups. Degree centralisation is lower in Macarthur, while closeness centralisation is higher, demonstrating greater provider accessibility. The results highlight key areas for improving healthcare coordination and efficiency by analysing provider relationships. In addition, the findings suggest that comprehensive network analysis provides critical insights into the structure and effectiveness of healthcare systems. Finally, this research offers a network-based perspective on healthcare collaboration, presenting valuable recommendations for policymakers and healthcare stakeholders to improve providers' service quality and optimise resource allocation in Australia’s healthcare system.
Keywords
Administrative claim data, Macarthur and Parramatta-Hills district region-NSW, Patient-sharing provider network (PSN), Social network analysis (SNA), and socio-demographic variables.