Predictors and Consequences of Homelessness: Protocol for a Cohort Study Design Using Linked Routine Data

Area of Science:

• Public Health
• Health Services Research
• Social Epidemiology

Background:

• Homelessness affects over 100 million globally, with individuals experiencing higher rates of poor physical and mental health.
• Administrative data is increasingly vital for understanding homelessness dynamics and impacts.
• Homeless populations face significant health disparities compared to the general population.

Purpose of the Study:

• To integrate administrative health care and social housing data to identify predictors and consequences of homelessness.
• To gain a comprehensive understanding of the factors contributing to and resulting from homelessness.
• To inform targeted interventions and policies for individuals experiencing homelessness.

Main Methods:

• Linking administrative health and social care databases across Northern Ireland.
• Conducting descriptive analyses to identify trends in homelessness.
• Investigating risk factors associated with key health and social outcomes for the homeless population.

Main Results:

• Results will be disseminated to stakeholders, presented at conferences, and published in academic journals.
• Policy briefing notes will be developed to inform policymakers on key findings.
• The study will provide data-driven insights into the health and social care needs of the homeless population.

Conclusions:

• This research will identify predictors and consequences of homelessness in Northern Ireland by utilizing linked administrative data.
• The study aims to elucidate trends and outcomes within this vulnerable group using routinely collected health and social care information.
• Findings will contribute to evidence-based strategies for addressing homelessness and improving health outcomes.