Understanding the drivers of student dropout from higher education has been a policy concern for several decades. However, the contributing role of certain factors—including student mental health—remains poorly understood. Furthermore, existing studies linking student mental health and university dropout are limited in both methodology and scope—for example, they often rely on small and/or non-representative samples or subjective measures, and focus almost exclusively on main effects. This paper overcomes many of these shortcomings by leveraging unique linked administrative data on the full population of domestic students commencing undergraduate studies at Australian universities between 2012 and 2015 (n = 652,139). Using these data, we document that approximately 15% of students drop out of university within their first academic year. Critically, students receiving treatment for mental health problems are 4.3 (adjusted) to 8.3 (unadjusted) percentage points more likely to drop out of higher education. This association remains in the presence of an encompassing set of potential confounds, and is remarkably uniform across segments of the student population determined by individual, family, and programme characteristics. Altogether, our findings call for increased policy efforts to improve student mental health and to buffer against its deleterious effects on retention.

Student attrition is a significant problem and a huge challenge from an institutional point of view. Although completion rates in Poland are lower than in most Organisation for Economic Cooperation and Development countries, the problem has not been studied thoroughly. In order to shed light on that problem the aim of this paper is to present the results of a mixed methods study on dropout behaviour at the University of Warsaw, Poland’s largest higher education institution, combining administrative data analysis, survey research and individual in-depth interviews. The main results are: 1) students drop out mainly during the first year of studies, 2) there are three main types of dropouts – planned dropout, academic failure and those who are disappointed with their studies 3) one of the reasons for this lies in the process of choosing the study programme. Improving this decision process by providing more information and support to candidates should help reduce dropout rates.

Child Maltreatment (CM) is a widespread public health problem, with adverse outcomes for children, families, and communities. Evidence-based parenting support delivered via a public health approach may be an effective means to prevent CM. The Every Family 2 population trial applied a public health approach to delivering evidence-based parenting support to prevent CM in disadvantaged communities. Using a quasi-experimental design, 64 matched low socioeconomic communities in the Australian states of Queensland and New South Wales received either the full multi-level Triple P system (TPS) of parenting support, or Care as Usual (CAU). Two population indicators of CM, the number of substantiated cases of CM, and the number of notifications of CM to protective services were compared using Welch’s t-test to evaluate intervention effectiveness. After two years of intervention, medium to large effect sizes favoring TPS communities were found for substantiations (d = 0.57, p < .05) and notifications (d = 1.86, p < .001). These findings show the value of the TPS, deployed using a public health approach, in efforts to prevent CM in socially disadvantaged communities. A number of uncontrolled contextual factors are described that may have contributed to some of the differences detected between TPS and CAU communities.

The massification of higher education in Poland means that many students choose this educational pathway to improve their chances for a good job. Therefore, the labour market outcomes of graduates provide an important perspective for future students, higher education institutions, as well as decision makers at the national level. The Polish Graduate Tracking System (ELA), based on administrative data, is designed to monitor graduates’ outcomes in the labour market by type of studies, higher education institution, as well as individual curricula. Results of the first two years of graduate tracking show that the outcomes vary by study area, but also change over time. While in the first months after graduation, aspects such as prior experience in the labour market and place of residence have a substantial effect on employment chances, in the longer run, they lose their importance relative to other factors.