Rebecca Orsi

Predicting re-involvement for children adopted out of a public child welfare system.

Some of the approximately 400,000 children currently placed out-of-home in a public child welfare system will not reunify with their family of origin. They may instead be adopted into a new family. Adoption placements can be characterized by poor adjustment for children; some such placements even result in disruption or dissolution. We conducted a stratified Cox regression of 4,016 children from the Colorado public child welfare system. All of the children had a finalized adoption during the years 2002 through 2006. The two outcomes analyzed were new child protection and youth-in-conflict referrals and assessments for these previously adopted children. New child welfare referrals and assessments may be early indicators of poor adjustment for adopted children within the adoptive family. Study results indicate that older children and Hispanic children had higher rates of referral and assessment. Children with a pre-adoption history including longer time out-of-home or a larger number of out-of-home placements also experienced higher referral and assessment rates. Additional factors which predicted subsequent system re-involvement included presence of paid adoption assistance, adoption by a non-relative foster parent and younger adoptive parent age. Several study results were moderated by the presence or absence of an ethnic match between the child and the adoptive parents. We provide an overview of the statistical model used for analysis and we discuss implications of the study results for child welfare practice.

Life Course and Intergenerational Continuity of Intimate Partner Aggression and Physical Injury: A 20-Year Study.

The objective of this study is to examine continuity of intimate partner aggression (IPA), which is defined as repeated annual involvement in IPA, across respondents’ life course and into the next generation, where it may emerge among adult children. A national, longitudinal, and multigenerational sample of 1,401 individuals and their adult children is analyzed. Annual data on IPA severity and physical injury were collected by the National Youth Survey Family Study across a 20-year period from 1984 to 2004. Three hypotheses and biological sex differences are tested and effect sizes are estimated. First, findings reveal evidence for life course continuity (IPA is a strong predictor of subsequent IPA), but the overall trend decreases over time. Second, intergenerational continuity is documented (parents’ IPA predicts adult children’s IPA), but the effect is stronger for female than for male adult children. Third, results from combined and separate, more restrictive, measures of victimization and perpetration are nearly identical except in the intergenerational analyses. Fourth, evidence for continuity is not found when assessing physical injury alone. Together, these findings imply that some but not all forms of IPA are common, continuous, and intergenerational. Life course continuity appears stronger than intergenerational continuity.

Who’s Been Served and How? Permanency Outcomes for Children and Youth Involved in Child Welfare and Youth Corrections

Child welfare systems were created to protect maltreated children. However, adolescents today can be involved with child welfare for reasons other than maltreatment, including behavior issues. Such youth are also commonly involved in the youth corrections system. This study examines youth characteristics and risk factors which predict attaining permanency at case closure for youth involved in child welfare primarily for behavioral reasons. The sample consists of 5,691 youth aged 10–17 served in Colorado between 2007 and 2013. A multinomial logit model identified predictors of nonpermanent outcomes and of placement with return home, compared to remaining home throughout case involvement. Results show that the following characteristics and risks have a positive relationship with nonpermanent outcomes: longer case duration, prior child welfare placement, felony involvement, crimes against persons or property, truancy, running away, and gang membership. Services provided by the child welfare system are negatively related to nonpermanent outcomes.

Use of multiple cluster analysis methods to explore the validity of a community outcomes concept map

Concept mapping is now a commonly-used technique for articulating and evaluating programmatic outcomes. However, research regarding validity of knowledge and outcomes produced with concept mapping is sparse. The current study describes quantitative validity analyses using a concept mapping dataset. We sought to increase the validity of concept mapping evaluation results by running multiple cluster analysis methods and then using several metrics to choose from among solutions. We present four different clustering methods based on analyses using the R statistical software package: partitioning around medoids (PAM), fuzzy analysis (FANNY), agglomerative nesting (AGNES) and divisive analysis (DIANA). We then used the Dunn and Davies-Bouldin indices to assist in choosing a valid cluster solution for a concept mapping outcomes evaluation. We conclude that the validity of the outcomes map is high, based on the analyses described. Finally, we discuss areas for further concept mapping methods research.

Understanding work enjoyment among older workers: The significance of flexible work options and age discrimination in the workplace

ABSTRACT Although the number of older workers in the U.S. is increasing, there is a gap in knowledge on whether or not they actually enjoy working. This study, based on a conceptual framework focusing on job resources and demands, explored likely workplace determinants of work enjoyment among older workers aged 50 or over. Using the 2012 wave of the Health and Retirement Study, a partial proportional odds model was used to detect determinants of work enjoyment. Results showed that higher levels of work enjoyment were significantly and negatively associated with the level of perceived retirement pressure and promotion preference for younger workers, and positively associated with moving to less demanding positions. Self-employment showed a noticeable enhancement of work enjoyment. This study highlights the significance of flexible work options and age discrimination in the workplace in understanding work enjoyment later in life.

Drug overdose and child maltreatment across the United States’ rural-urban continuum

This national study of US counties (n = 2963) investigated whether county-level drug overdose mortality is associated with maltreatment report rates, and whether the relationship between overdose mortality and maltreatment reports is moderated by a countys rural, non-metro or metro status. Data included county-level 2015 maltreatment reports from the National Child Abuse and Neglect Data System, modeled drug-overdose mortality from the Centers for Disease Control, United States Department of Agriculture Rural-Urban Continuum Codes, US Census demographic data and crime reports from the Federal Bureau of Investigation. All data were linked across counties. Zero-inflated negative binomial (ZINB) regression was used for county-level analysis. As hypothesized, results from the ZINB model showed a significant and positive relationship between drug overdose mortality and child maltreatment report rates (χ = 101.26, p < .0001). This relationship was moderated by position on the rural-urban continuum (χ=8.76, p = .01). For metro counties, there was a 1.9% increase in maltreatment report rate for each additional increment of overdose deaths (IRR=1.019, CI=[1.010, 1.028]). For non-metro counties, the rate of increase was 1.8% higher than for metro counties (IRR=1.018, CI=[1.006, 1.030]); for rural counties, the rate of increase was 1.2% higher than for metro counties (IRR=1.012, CI=[0.999, 1.026]). Additional research is needed to determine why the relationship between drug overdose mortality and maltreatment reports is stronger in non-metro and rural communities. One potential driver requiring additional inquiry is that access to mental and physical health care and substance use treatment may be more limited outside of metropolitan counties.

A systematic review of socioeconomic status measurement in thirteen years of US injury research

OBJECTIVE The purpose of this review was to assess the impact of socioeconomic status (SES) on injury and to evaluate how U.S. injury researchers have measured SES over the past 13years in observational research studies. DESIGN & METHODS This systematic review included 119 US injury studies indexed in PubMed between January 1, 2002 and August 31, 2015 that used one or more individual and/or area-level measures of SES as independent variables. Study findings were compared to the results of a previous review published in 2002. RESULTS Findings indicate SES remains an important predictor of injury. SES was inversely related to injury in 78 (66%) of the studies; inverse relationships were more consistently found in studies of fatal injury (77.4%) than in studies of non-fatal injury (58%). Approximately two-thirds of the studies (n=73, 61%) measured SES along a gradient and 59% used more than one measure of SES (n=70). Studies that used a gradient measure of SES and/or more than one measure of SES identified significant relationships more often. These findings were essentially equivalent to those of a similar 2002 review (Cubbin & Smith, 2002). CONCLUSIONS There remains a need to improve measurement of SES in injury research. Public health training programs should include best practices for measurement of SES, which include: measuring SES along a gradient, selecting SES indicators based on the injury mechanism, using the smallest geographic region possible for area-level measures, using multiple indicators when possible, and using both individual and area-level measures as both contribute independently to injury risk. Area-level indicators of SES are not accurate estimates of individual-level SES. PRACTICAL APPLICATIONS Injury researchers should measure SES along a gradient and incorporate individual and area-level SES measures that are appropriate to the injury outcome under study.

Exploring Survey Participation, Data Combination, and Research Validity in a Substance Use Study: An Application of Hierarchical Linear Modeling

A sound decision regarding combination of datasets is critical for research validity. Data were collected between 1996 and 2000 via a 99-item survey of substance use behaviors. Two groups of 7th–12th grade students in predominately White communities are compared: 166,578 students from 193 communities with high survey participation and 41,259 students from 65 communities with lower participation. Hierarchical logistic models are used to explore whether the two datasets may be combined for further study of community-level substance use effects. “Scenario analysis” is introduced. Results suggest the datasets may reasonably be combined. Limitations and further research are discussed.