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1.
Adm Policy Ment Health ; 42(1): 70-86, 2015 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-24677172

RESUMEN

After children enter the child welfare system, subsequent out-of-home placement decisions and their impact on children's well-being are complex and under-researched. This study examined two placement decision-making models: a multidisciplinary team approach, and a decision support algorithm using a standardized assessment. Based on 3,911 placement records in the Illinois child welfare system over 4 years, concordant (agreement) and discordant (disagreement) decisions between the two models were compared. Concordant decisions consistently predicted improvement in children's well-being regardless of placement type. Discordant decisions showed greater variability. In general, placing children in settings less restrictive than the algorithm suggested ("under-placing") was associated with less severe baseline functioning but also less improvement over time than placing children according to the algorithm. "Over-placing" children in settings more restrictive than the algorithm recommended was associated with more severe baseline functioning but fewer significant results in rate of improvement than predicted by concordant decisions. The importance of placement decision-making on policy, restrictiveness of placement, and delivery of treatments and services in child welfare are discussed.


Asunto(s)
Algoritmos , Protección a la Infancia/estadística & datos numéricos , Toma de Decisiones , Cuidados en el Hogar de Adopción/normas , Relaciones Interprofesionales , Adolescente , Niño , Preescolar , Femenino , Humanos , Lactante , Recién Nacido , Estudios Longitudinales , Masculino , Evaluación de Necesidades
2.
Child Abuse Negl ; 37(10): 871-82, 2013 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-23768934

RESUMEN

Out-of-home placement decision-making in child welfare is founded on the best interest of the child in the least restrictive setting. After a child is removed from home, however, little is known about the mechanism of placement decision-making. This study aims to systematically examine the patterns of out-of-home placement decisions made in a state's child welfare system by comparing two models of placement decision-making: a multidisciplinary team decision-making model and a clinically based decision support algorithm. Based on records of 7816 placement decisions representing 6096 children over a 4-year period, hierarchical log-linear modeling characterized concordance or agreement, and discordance or disagreement when comparing the two models and accounting for age-appropriate placement options. Children aged below 16 had an overall concordance rate of 55.7%, most apparent in the least restrictive (20.4%) and the most restrictive placement (18.4%). Older youth showed greater discordant distributions (62.9%). Log-linear analysis confirmed the overall robustness of concordance (odd ratios [ORs] range: 2.9-442.0), though discordance was most evident from small deviations from the decision support algorithm, such as one-level under-placement in group home (OR=5.3) and one-level over-placement in residential treatment center (OR=4.8). Concordance should be further explored using child-level clinical and placement stability outcomes. Discordance might be explained by dynamic factors such as availability of placements, caregiver preferences, or policy changes and could be justified by positive child-level outcomes. Empirical placement decision-making is critical to a child's journey in child welfare and should be continuously improved to effect positive child welfare outcomes.


Asunto(s)
Protección a la Infancia , Toma de Decisiones , Técnicas de Apoyo para la Decisión , Cuidados en el Hogar de Adopción , Adolescente , Factores de Edad , Niño , Preescolar , Femenino , Humanos , Illinois/epidemiología , Lactante , Recién Nacido , Modelos Lineales , Masculino , Prevalencia , Estados Unidos/epidemiología
3.
Arch Gen Psychiatry ; 62(8): 911-21, 2005 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-16061769

RESUMEN

CONTEXT: Since deinstitutionalization, most persons with severe mental illness (SMI) now live in the community, where they are at great risk for crime victimization. OBJECTIVES: To determine the prevalence and incidence of crime victimization among persons with SMI by sex, race/ethnicity, and age, and to compare rates with general population data (the National Crime Victimization Survey), controlling for income and demographic differences between the samples. DESIGN: Epidemiologic study of persons in treatment. Independent master's-level clinical research interviewers administered the National Crime Victimization Survey to randomly selected patients sampled from 16 randomly selected mental health agencies. SETTING: Sixteen agencies providing outpatient, day, and residential treatment to persons with SMI in Chicago, Ill. PARTICIPANTS: Randomly selected, stratified sample of 936 patients aged 18 or older (483 men, 453 women) who were African American (n = 329), non-Hispanic white (n = 321), Hispanic (n = 270), or other race/ethnicity (n = 22). The comparison group comprised 32 449 participants in the National Crime Victimization Survey. MAIN OUTCOME MEASURE: National Crime Victimization Survey, developed by the Bureau of Justice Statistics. RESULTS: More than one quarter of persons with SMI had been victims of a violent crime in the past year, a rate more than 11 times higher than the general population rates even after controlling for demographic differences between the 2 samples (P<.001). The annual incidence of violent crime in the SMI sample (168.2 incidents per 1000 persons) is more than 4 times higher than the general population rates (39.9 incidents per 1000 persons) (P<.001). Depending on the type of violent crime (rape/sexual assault, robbery, assault, and their subcategories), prevalence was 6 to 23 times greater among persons with SMI than among the general population. CONCLUSIONS: Crime victimization is a major public health problem among persons with SMI who are treated in the community. We recommend directions for future research, propose modifications in public policy, and suggest how the mental health system can respond to reduce victimization and its consequences.


Asunto(s)
Víctimas de Crimen/estadística & datos numéricos , Trastornos Mentales/epidemiología , Adulto , Factores de Edad , Chicago/epidemiología , Servicios Comunitarios de Salud Mental/estadística & datos numéricos , Crimen/estadística & datos numéricos , Víctimas de Crimen/psicología , Estudios Epidemiológicos , Femenino , Política de Salud , Humanos , Incidencia , Masculino , Trastornos Mentales/diagnóstico , Trastornos Mentales/psicología , Prevalencia , Muestreo , Índice de Severidad de la Enfermedad , Estados Unidos/epidemiología , Violencia/psicología , Violencia/estadística & datos numéricos
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