Applying a Time-Patterned Typology of Homelessness Among Individuals with Mental Illness
| Autor: | Molly Brown, Gia Chodzen, Kelly Collins, Martina Mihelicova |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Typology
Adult Male Washington medicine.medical_specialty Health (social science) Time Factors Databases Factual Substance-Related Disorders 03 medical and health sciences Risk Factors mental disorders medicine Humans 0501 psychology and cognitive sciences Psychiatry Applied Psychology Multinomial logistic regression 030505 public health Group membership Mental Disorders 05 social sciences Public Health Environmental and Occupational Health Middle Aged Mental illness medicine.disease Mental health Substance abuse Important research Logistic Models Diagnosis Dual (Psychiatry) Ill-Housed Persons Housing Female Single episode 0305 other medical science Psychology 050104 developmental & child psychology |
| Zdroj: | American journal of community psychology. 59(3-4) |
| ISSN: | 1573-2770 |
| Popis: | Identification of subgroups of the homeless populations, or typologies, has been an important research priority to guide homelessness services and policies. This study builds on previous typological research conducted in the general homeless population by focusing on individuals with mental illness to further delineate typologies within a more homogenous subset of the homeless population. A time-patterned typology based on episodes of street and shelter homelessness over a four-year period was applied to a sample of 246 individuals identified through mental health administrative records. Four groups were created based upon patterns of homelessness: 26.8% experienced homelessness for 4 years, 13.4% had one episode of homelessness but were no longer homeless at the end of the follow-up, 48.4% had at least two episodes of homelessness, and 11.4% had a single episode of homelessness lasting 3 months or less. Findings from a multinomial logistic regression indicated that gender, presence of a psychotic disorder, substance abuse, and year of study enrollment significantly predicted group membership. Residential trajectories upon exit from homelessness and at the end of the four-year follow-up were examined. Implications for current policy and future research are discussed. |
| Databáze: | OpenAIRE |
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