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Rates and predictors of aftercare services among formerly hospitalized adolescents: a prospective naturalistic study.

Publication ,  Journal Article
Goldston, DB; Reboussin, BA; Kancler, C; Daniel, SS; Frazier, PH; Harris, AE; Kelley, AE; Reboussin, DM
Published in: J Am Acad Child Adolesc Psychiatry
January 2003

OBJECTIVE: To examine rates and predictors of aftercare use, lengths of service use, and predictors of the duration of aftercare service use among 180 adolescents monitored for up to 8.1 years after discharge from an inpatient psychiatry unit. METHOD: Drawing upon the Anderson-Newman model of service use, severity of illness, enabling, and predisposing factors assessed during the hospitalization were examined as potential predictors of service use. Information about outpatient mental health specialty services after hospitalization was assessed repeatedly and verified with treatment records. RESULTS: Seventy-three percent of adolescents received aftercare within the first month after discharge, and 92% eventually received outpatient services. Fifty-seven percent of adolescents remained in treatment 6 months after initiation of services. Psychiatric comorbidity, prior service use, and presence of a biological parent or grandparent in the home were related to initial service use. Psychiatric comorbidity and history of repeated suicide attempts were related to longer duration, and older age and minority group status were related to shorter duration of aftercare service use. CONCLUSIONS: Most adolescents receive aftercare services, but there are certain groups that are relatively less likely to access or remain in services. Interventions to decrease the barriers to care in such groups may be beneficial.

Duke Scholars

Published In

J Am Acad Child Adolesc Psychiatry

DOI

ISSN

0890-8567

Publication Date

January 2003

Volume

42

Issue

1

Start / End Page

49 / 56

Location

United States

Related Subject Headings

  • Utilization Review
  • Time Factors
  • Survival Analysis
  • Prospective Studies
  • North Carolina
  • Mental Health Services
  • Mental Disorders
  • Male
  • Logistic Models
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Goldston, D. B., Reboussin, B. A., Kancler, C., Daniel, S. S., Frazier, P. H., Harris, A. E., … Reboussin, D. M. (2003). Rates and predictors of aftercare services among formerly hospitalized adolescents: a prospective naturalistic study. J Am Acad Child Adolesc Psychiatry, 42(1), 49–56. https://doi.org/10.1097/00004583-200301000-00010
Goldston, David B., Beth A. Reboussin, Cynthia Kancler, Stephanie Sergent Daniel, Patricia H. Frazier, Ashley E. Harris, Arthur E. Kelley, and David M. Reboussin. “Rates and predictors of aftercare services among formerly hospitalized adolescents: a prospective naturalistic study.J Am Acad Child Adolesc Psychiatry 42, no. 1 (January 2003): 49–56. https://doi.org/10.1097/00004583-200301000-00010.
Goldston DB, Reboussin BA, Kancler C, Daniel SS, Frazier PH, Harris AE, et al. Rates and predictors of aftercare services among formerly hospitalized adolescents: a prospective naturalistic study. J Am Acad Child Adolesc Psychiatry. 2003 Jan;42(1):49–56.
Goldston, David B., et al. “Rates and predictors of aftercare services among formerly hospitalized adolescents: a prospective naturalistic study.J Am Acad Child Adolesc Psychiatry, vol. 42, no. 1, Jan. 2003, pp. 49–56. Pubmed, doi:10.1097/00004583-200301000-00010.
Goldston DB, Reboussin BA, Kancler C, Daniel SS, Frazier PH, Harris AE, Kelley AE, Reboussin DM. Rates and predictors of aftercare services among formerly hospitalized adolescents: a prospective naturalistic study. J Am Acad Child Adolesc Psychiatry. 2003 Jan;42(1):49–56.
Journal cover image

Published In

J Am Acad Child Adolesc Psychiatry

DOI

ISSN

0890-8567

Publication Date

January 2003

Volume

42

Issue

1

Start / End Page

49 / 56

Location

United States

Related Subject Headings

  • Utilization Review
  • Time Factors
  • Survival Analysis
  • Prospective Studies
  • North Carolina
  • Mental Health Services
  • Mental Disorders
  • Male
  • Logistic Models
  • Humans