Homelessness

Homelessness among people with severe and persistent mental illness is a complex public health challenge, with homelessness and mental illness linked in a bi-directional relationship that worsens health outcomes and complicates effective care.
In 2024, the Organisation for Economic Co-operation and Development (OECD) and the EU estimated that more than two million people were experiencing homelessness across the 38 member countries.
This editorial reflects on the trend of the most recent edition of the journal’s articles to highlight structural factors as the cause, and therefore solution, of homelessness.
Studies in the US, Canada, Australia, the UK, and across Europe have highlighted similar workforce challenges in the homeless services sector and concerns about their impact on staff turnover. This study used quantitative and qualitative data from a national survey of frontline homeless services workers in the U.S. to answer questions about workers’ intention to leave their current job and reasons for intending to leave.
This scoping review aimed to map existing interventions designed to support the well-being of frontline workers in the homelessness sector, highlighting their characteristics, objectives, and outcomes. It provides a comprehensive overview of strategies to support frontline workers serving people experiencing homelessness.
Using thematic analysis, this study reveals how systemic exclusion, invisibility, and trauma shape the educational experiences of precariously housed youth. By mobilizing cultural and critical pedagogies, the study argues that schools, if properly equipped, can act as upstream prevention spaces.

From the AHURI inquiry: Inquiry into developing a long-term governance and resource framework for sustainable and effective Indigenous housing. What…

This article examines the relationship between the Housing First model and contextual factors influencing its implementation. It identifies five key contextual factors shaping implementation and explores strategies developed to adapt the model in response.