Literature DB >> 10195802

Service utilization among homeless and runaway youth in Los Angeles, California: rates and reasons.

C J De Rosa1, S B Montgomery, M D Kipke, E Iverson, J L Ma, J B Unger.   

Abstract

PURPOSE: To describe the service utilization patterns of homeless and runaway youth in a "service-rich" area (Los Angeles, California); identify demographic and other correlates of utilization; and contextualize the findings with qualitative data.
METHOD: During Phase 1 of this study, survey data were collected from an ethnically diverse sample of 296 youth aged 13-23 years, recruited from both service and natural "hang-out" sites using systematic sampling methods. During Phase 2, qualitative data were collected from 46 youth of varying ethnicities and lengths of time homeless.
RESULTS: Drop-in centers and shelters were the most commonly used services (reported by 78% and 40%, respectively). Other services were used less frequently [e.g., medical services (28%) and substance abuse treatment (10%) and mental health services (9%)]. Utilization rates differed by ethnicity, length of time in Los Angeles, and city of first homeless episode (Los Angeles vs. all others). Shelter use was strongly associated with use of all other services. Despite youths' generally positive reactions to services, barriers were described including restrictive rules, confidentiality and reporting problems, and negative interactions with staff members. Youth suggested improvements including more targeted services, more long-term services, revised age restrictions, and more and/or better job training and transitional services to get them off the streets.
CONCLUSIONS: Because shelters and drop-in centers act as gateways to other services and offer intervention potential for these hard-to-reach youth, it is vital that barriers to use of these services are eliminated.

Mesh:

Year:  1999        PMID: 10195802     DOI: 10.1016/s1054-139x(98)00081-0

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  9 in total

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Authors:  Jean R Hughes; Sharon E Clark; William Wood; Susan Cakmak; Andy Cox; Margie Macinnis; Bonnie Warren; Elaine Handrahan; Barbara Broom
Journal:  J Can Acad Child Adolesc Psychiatry       Date:  2010-11

2.  Emotional distress and mental health service use among urban homeless adolescents.

Authors:  M Rosa Solorio; Norweeta G Milburn; Ronald M Andersen; Sharone Trifskin; Michael A Rodríguez
Journal:  J Behav Health Serv Res       Date:  2006-10       Impact factor: 1.505

3.  Six- and twelve-month outcomes among homeless youth accessing therapy and case management services through an urban drop-in center.

Authors:  Natasha Slesnick; Min Ju Kang; Amy E Bonomi; Jillian L Prestopnik
Journal:  Health Serv Res       Date:  2008-02       Impact factor: 3.402

4.  Health care utilization in homeless youth.

Authors:  Yolanda N Evans; Sara M Handschin; Ann E Giesel
Journal:  J Community Health       Date:  2014-06

5.  Homeless youths' perceptions of services and transitions to stable housing.

Authors:  Sharon B Garrett; Darrel H Higa; Melissa M Phares; Peggy L Peterson; Elizabeth A Wells; John S Baer
Journal:  Eval Program Plann       Date:  2008-05-10

6.  Social networks as the context for understanding employment services utilization among homeless youth.

Authors:  Anamika Barman-Adhikari; Eric Rice
Journal:  Eval Program Plann       Date:  2014-03-27

7.  Exploring the potential of technology-based mental health services for homeless youth: A qualitative study.

Authors:  Elizabeth C Adkins; Alyson K Zalta; Randy A Boley; Angela Glover; Niranjan S Karnik; Stephen M Schueller
Journal:  Psychol Serv       Date:  2017-05

8.  Sexual risk, substance use, mental health, and trauma experiences of gang-involved homeless youth.

Authors:  Robin Petering
Journal:  J Adolesc       Date:  2016-02-19

9.  Utilization and Perceptions of Drop-in Center Services Among Youth Experiencing Homelessness.

Authors:  Layla Parast; Joan S Tucker; Eric R Pedersen; David Klein
Journal:  J Behav Health Serv Res       Date:  2019-04       Impact factor: 1.505

  9 in total

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