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Ecological Factors Predict Transition Readiness/Self-Management in Youth With Chronic Conditions.
Javalkar, Karina; Johnson, Meredith; Kshirsagar, Abhijit V; Ocegueda, Sofia; Detwiler, Randal K; Ferris, Maria.
Afiliação
  • Javalkar K; School of Medicine, University of North Carolina, Chapel Hill, North Carolina.
  • Johnson M; School of Medicine, University of North Carolina, Chapel Hill, North Carolina.
  • Kshirsagar AV; Department of Medicine, Division of Nephrology and Hypertension, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.
  • Ocegueda S; College of Arts and Sciences, University of North Carolina, Chapel Hill, North Carolina.
  • Detwiler RK; Department of Medicine, Division of Nephrology and Hypertension, School of Medicine, University of North Carolina, Chapel Hill, North Carolina.
  • Ferris M; Department of Medicine, Division of Nephrology and Hypertension, School of Medicine, University of North Carolina, Chapel Hill, North Carolina. Electronic address: maria_ferris@med.unc.edu.
J Adolesc Health ; 58(1): 40-6, 2016 Jan.
Article em En | MEDLINE | ID: mdl-26707228
ABSTRACT

PURPOSE:

Health care transition readiness or self-management among adolescents and young adults (AYA) with chronic conditions may be influenced by factors related to their surrounding environment.

METHODS:

Study participants were AYA diagnosed with a chronic condition and evaluated at pediatric- and adult-focused subspecialty clinics at the University of North Carolina Hospital Systems. All participants were administered a provider-administered self-management/transition-readiness tool, the UNC TRxANSITION Scale. Geographic area and associated characteristics (ecological factors) were identified for each participant's ZIP code using the published U.S. Census data. The Level 1 model of the hierarchical linear regression used individual-level predictors of transition readiness/self-management. The Level 2 model incorporated the ecological factors.

RESULTS:

We enrolled 511 AYA with different chronic conditions aged 12-31 years with the following characteristics mean age of 20± 4 years, 45% white, 42% black, and 54% female. Participants represented 214 ZIP codes in or around North Carolina, USA. The Level 1 model showed that age, gender, and race were significant predictors of transition readiness/self-management. On adding the ecological factors in the Level 2 model, race was no longer significant. Participants from a geographic area with a greater percentage of females (ß = .114, p = .005) and a higher median income (ß = .126, p = .002) had greater overall transition readiness. Ecological factors also predicted subdomains of transition readiness/self-management.

CONCLUSIONS:

In this cohort of adolescents and young adults with different chronic conditions, ecological disparities such as sex composition, median income, and language predict self-management/transition readiness. It is important to take ecological risk factors into consideration when preparing patients for health self-management or transition.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adolescent / Adult / Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adolescent / Adult / Child / Female / Humans / Male País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article