Profiles and Predictors of Neurodevelopmental Functioning among Young Children Experiencing Family Homelessness.

In the context of family homelessness, children experience acute adversities related to loss of housing and residential mobility compounded with more chronic, poverty-related adversities and stressors. Among children in families experiencing homelessness, variability in experiences and outcomes warrant person-centered approaches to better delineate patterns of risk and resilience. Using latent profile analysis as a person-centered approach, we identified five distinct profiles of neurodevelopmental functioning within a sample of 231 children (ages 3-5 years old) staying in emergency homeless shelters with their families. Latent profiles were informed by indicators from parent-reported items for ten different domains of neurodevelopmental functioning. We examined whether demographic and ecological factors including age, ethnicity, adverse childhood experiences, parent mental health, and overreactive parenting would predict profile membership. Overall, half of the children in the sample demonstrated a profile of resilient functioning across developmental domains. Profiles of maladaptive functioning differed in areas of strength and challenge, with a small percentage of children showing poor functioning across all domains. Children whose parents had more mental health problems or overreactive parenting were significantly more likely to show profiles of poor functioning than to show resilient functioning. Implications for future research, practice, and policy are discussed.

Evolving Our Understanding: Housing Instability as an ACE for Young Children.

We investigated the conceptualization and impact of adverse childhood experiences (ACEs) in a sample of 231 children ages 3-5 living in poverty and experiencing homelessness, focusing specifically on caregiver well-being and housing instability. Data was collected using the Neurodevelopmental Ecological Screening Tool (NEST), which screens for developmental risk and resilience across three domains (neurodevelopmental, caregiver, and environment). We used structural equation modelling (SEM) to test the association between domains and ACE scores and assessed the impact on neurodevelopmental constructs. Fifty-five percent of the sample had high ACE scores (> 3), which were associated with lower attention, social skills, and emotional regulation. ACEs were strongly associated with 0.17 standard deviation units of higher levels of caregiver distress (p < .001), which was also associated with 0.26 standard deviation units of lower levels of child neurodevelopmental functioning (p = .001). For each unit increase in housing instability, there was a three-fourths increase in ACE (0.78 ACE at p = .004); four or more moves were associated with the worst neurodevelopmental outcomes (53% of the sample). We must use an ecological, developmental lens to understand how early adversity impacts children, at what age, and in what context. Housing stability plays a critical role in developmental well-being and should be accounted for in conceptualizations of child ACE scales. Caregiver and child relationships are reciprocal, and so the impacts of ACEs are also bidirectional. Our policies and practices at individual, community, and systemic levels should account for these dynamics to improve child well-being.

Developing a Screening Tool for Young Children Using an Ecological Framework.

Young children from impoverished backgrounds experience high levels of family and environmental stress, adversely impacting developmental functioning. Early identification provides a pathway to solutions, but many children are never assessed. In addition, the child-serving workforce lacks resources and expertise to use traditional measures. Furthermore, existing measures do not account for the substantial influence of a child's ecology. To bridge these gaps, we developed the Neurodevelopmental Ecological Screening Tool (NEST) and conducted a pilot study (n=60) to test its feasibility for use with caregivers of children ages 3-5 in low-resource settings. We developed an item pool across three domains (child, caregiver, environment), vetted it with experts, and conducted cognitive interviewing with parents (n=15) and case managers (n-10). Simultaneously, we built an online, user-friendly delivery platform. We used a one parameter Item Response Model and a Rasch-based Rating Scale Model (RSM) and fit confirmatory factor analytic (CFA) models to test for unidimensional and construct validity. The results support the feasibility of screening children from low SES populations within low-resource settings using an ecological perspective and supports the work of child-serving paraprofessionals in identifying and addressing risks in the lives of young children.

Featured Article: Bidirectional Effects of Sleep and Sedentary Behavior Among Toddlers: A Dynamic Multilevel Modeling Approach.

OBJECTIVE: To examine the bidirectional effects of objectively measured nighttime sleep and sedentary activity among toddlers. METHOD: Actical accelerometer data were analyzed for 195 toddlers participating in an obesity prevention trial (mean age = 27 months). Toddlers wore the accelerometers for up to 7 consecutive days. Nighttime sleep was defined as the number of minutes asleep between the hours of 8 pm and 8 am the following morning. Sedentary behavior (in minutes) was defined using previously established Actical cut points for toddlers. Variables were lagged and parsed into latent within- and between-person components, using dynamic structural equation modeling (DSEM). RESULTS: Toddlers spent an average of 172 min (∼3 hr) in sedentary activity and slept an average of 460 min (∼8 hr) per night. An autoregressive cross-lagged multilevel model revealed significant autoregression for both sleep and sedentary activity. Cross-lagged values revealed that decreased sleep predicted increased next-day sedentary activity, and sedentary activity predicted that night's sleep. For 89% of the sample, the within-person standardized cross-lagged effects of sleep on sedentary were larger than the cross-lagged effects of sedentary on sleep. CONCLUSIONS: Results suggest that, on average, nighttime sleep is a stronger predictor of subsequent sedentary behavior (compared with the reverse), and this is the case for the majority of toddlers. Findings highlight the importance of interindividual associations between sleep and sedentary activity. The present study is an example of how DSEM methods can be used to ask questions about Granger-causal cross-lagged relations between variables, both within and between individuals.

Language Barrier as a Risk Factor for Injuries From Patient Violence Among Direct Care Workers in Home Settings: Findings From a U.S. National Sample.

This study explored potential risk factors for injuries from patient violence among direct care workers in U.S. homes (DCWHs). A national probability sample of 3,377 DCWHs including home health and personal care aides was analyzed using complex sample analysis and generalized estimating equation. Injury from violence was defined as a workrelated injury sustained by aggression, violence, or abuse that was reported to the agency, required medical attention or resulted in absenteeism from work. An association between suffering an injury from patient violence and having a language barrier with patients was noted (OR = 4.44; 95% CI = 1.57, 12.56; p = .005). Findings illuminate the importance of homecare providers to match language between DCWHs and patients to reduce patient violence and improve quality of care in the home setting.

Acute fatigue predicts sickness absence in the workplace: A 1-year retrospective cohort study in paediatric nurses.

AIMS: To examine the relationship between fatigue and sickness absence in nurses from a paediatric hospital over 12 months of follow-up. A secondary aim was to identify other work and personal factors that predict sickness absence. BACKGROUND: Sickness absence is often related to worker-fatigue, yet few studies have explored this relationship in nurses despite documented high fatigue levels. DESIGN: The study used retrospective cohort design. METHODS: Baseline data on 40 nurses from an intervention study were linked to absence data using the hospital's attendance records (2012-2013). A total of 6,057 work shifts were studied of which 5.2% were absence episodes. Fatigue was measured by the Occupational Fatigue Exhaustion Recovery scale. The questionnaire included instruments assessing sleep disturbances, workload and personal characteristics. Generalized linear mixed models were used to test the associations between fatigue, work, personal factors and sickness absence, while accounting for non-independency of repeated measures. RESULTS: With 1SD increase in acute fatigue scores, nurses were 1.29 times more likely to be absent from work. Factors such as intershift recovery, perceived workload, obstructive sleep apnoea and marital status also predicted sickness absence, that is, with 1SD increase in workload scores, nurses were 1.23 times more likely to be absent from work. Nurses with obstructive sleep apnoea had two times higher odds of sickness absence. CONCLUSION: Sickness absence is related to acute fatigue in paediatric nurses and to workload. Nursing leaders can monitor these factors to reduce sickness absence and screen for sleep apnoea and assist nurses in receiving the appropriate treatments.

Predictors of Hospital Length and Cost of Stay in a National Sample of Adult Patients with Psychotic Disorders.

OBJECTIVE: This study examined effects of patient-level and hospital-level characteristics on length and cost of hospital stays among adult patients with psychotic disorders. METHODS: A subsample of 677,684 adult patients with a primary diagnosis of a psychotic disorder was drawn from the 2003-2011 Healthcare Cost and Utilization Project Nationwide Inpatient Sample. A nationally representative survey design and census data were used to calculate hospitalization rates. Multilevel models examined variation in length and cost of stay in relation to individual (age, sex, race-ethnicity, household income, payer source, and illness severity) and hospital (region, urban or rural location, ownership, teaching status, and size) characteristics. RESULTS: Admission rates differed dramatically by region, with higher rates in the Northeast. Compared with white patients, African Americans had higher admission rates but shorter stays and lower costs, and Asians/Pacific Islanders and Native Americans had longer stays. Longer stays were also associated with higher versus lower illness severity and use of Medicaid and Medicare versus private insurance. Length and cost of stays were greater in Northeast hospitals and in public hospitals. CONCLUSIONS: Strong differences were noted in use of hospitalization to treat psychotic disorders. Higher admission rates and longer stays in the Northeast were striking, as were differences in admission rates and length of stay for African-American patients compared with white patients. Future research should investigate the appropriateness of acute care use from an overuse (Northeast) and underuse (West) perspective. Findings raise questions about the effects of health reform on adult acute care use and have implications for mental health and hospital policy.

An examination of the psychometric properties of the Vicarious Trauma Scale in a sample of licensed social workers.

Vicarious trauma (VT) involves affective distress and shifts in cognitive schemas following secondary exposure to traumatic material. The Vicarious Trauma Scale (VTS) is a brief measure designed to assess distress resulting from such exposure and has potential as a screening tool for VT in practice and educational settings. The current study is the first examination of the psychometric properties of the VTS in a sample of social workers (n = 157) collected in a cross-sectional survey. Results from item response models (IRM) and confirmatory factor analysis (CFA) suggest the VTS has good to excellent psychometric properties and could be a general screening tool for exposure to traumatic material or distressed clients and a measure of the affective and cognitive impact of such exposure. Both CFA and IRM approaches suggest a two-dimensional solution for the VTS, corresponding to cognitive and affective components. Implications for research and applications to practice are discussed.

Assessing recovery of people with serious mental illness: development of a new scale.

OBJECTIVES: The authors describe the development of the Maryland Assessment of Recovery in People with Serious Mental Illness, or MARS, a 25-item self-report instrument that measures recovery of people with serious mental illness, and report a study of its psychometric properties. METHODS: Doctoral-level scientists with expertise in serious mental illness drafted a set of survey items about the recovery process. Items reflected recovery domains outlined by the Substance Abuse and Mental Health Services Administration. After consultation with a panel of experts on recovery that included consumers and clinical scientists and with a small group of consumers, the instrument was narrowed to 67 items and administered to 166 individuals recruited from outpatient mental health clinics in two states. Item response theory and classical item analysis were used to select best-fitting items, reduce item redundancy, and improve the psychometric properties of the scale. Principal components analysis and confirmatory factor analysis were conducted to further examine dimensions of recovery measured by the scale. RESULTS: The MARS is quite practical for use with individuals with serious mental illness. It demonstrated excellent internal consistency (Cronbach's α=.95) and test-retest reliability (r=.898) and good face and content validity. CONCLUSIONS: The data provide initial support for use of the MARS to measure recovery of people with serious mental illness.

Factors affecting psychiatric inpatient hospitalization from a psychiatric emergency service.

OBJECTIVE: As a gateway to the mental health system, psychiatric emergency services (PES) are charged with assessing a heterogeneous array of short-term and long-term psychiatric crises. However, few studies have examined factors associated with inpatient psychiatric hospitalization following PES in a racially diverse sample. We examine the demographic, service use and clinical factors associated with inpatient hospitalization and differences in predisposing factors by race and ethnicity. METHOD: Three months of consecutive admissions to San Francisco's only 24-h PES (N = 1,305) were reviewed. Logistic regression was used to estimate the associations between demographic, service use, and clinical factors and inpatient psychiatric hospitalization. We then estimated separate models for Asians, Blacks, Latinos and Whites. RESULTS: Clinical severity was a consistent predictor of hospitalization. However, age, gender, race/ethnicity, homelessness and employment status were all significant related to hospitalization. Alcohol and drug use were associated with lower probability of inpatient admission, however specific substances appear particularly salient for different racial/ethnic groups. DISCUSSION: While clinical characteristics played an essential role in disposition decisions, these results point to the importance of factors external to PES. Individual and community factors that affect use of psychiatric emergency services merit additional focused attention.

Gender-Specific Barriers to Self-Sufficiency among Former Supplemental Security Income Drug Addiction and Alcoholism Beneficiaries: Implications for Welfare-To-Work Programs and Services.

This study examines barriers to economic self-sufficiency among a panel of 219 former Supplemental Security Income (SSI) drug addiction and alcoholism (DA&A) recipients following elimination of DA&A as an eligibility category for SSI disability benefits. Study participants were comprehensively surveyed at six measurement points following the policy change. Generalized estimating equations were used to examine full-sample and gender-specific barriers to economic self-sufficiency. Results indicate that access to transportation, age, and time are the strongest predictors of achieving self-sufficiency for both men and women leaving the welfare system. Gender-specific barriers are also identified. Future research needs to assess the generalizability of these results to other public assistance recipients.

Heterogeneity in comorbidity between major depressive disorder and generalized anxiety disorder and its clinical consequences.

Major depressive disorder (MDD) and generalized anxiety disorder (GAD) are highly comorbid and, as diagnoses, problematic because they are heterogeneous, may impair functioning even in subclinical manifestations, and may not predict important external criteria as well as empirically-derived classifications. The present study employed a latent class analysis using data from National Comorbidity Survey (1990-1992) and focused on respondents who endorsed at least 1 screening question for MDD and 1 for GAD (N = 1009). Results revealed 4 symptom domains (somatic anxiety, somatic depression, psychological anxiety, and psychological depression) reflecting the heterogeneity of MDD and GAD, and 7 respondent classes. Analysis revealed that people in classes with a high prevalence of either somatic anxiety or somatic depression symptoms presented with the highest levels of disability, distress, and service utilization. Evidence also was found for clinically meaningful subthreshold comorbid conditions. Anxiety-related and depression-related symptoms can be meaningfully differentiated, but differentiating between somatic and psychological symptoms has the greatest practical significance.

Impact of South American heroin on the US heroin market 1993-2004.

BACKGROUND: The past two decades have seen an increase in heroin-related morbidity and mortality in the United States. We report on trends in US heroin retail price and purity, including the effect of entry of Colombian-sourced heroin on the US heroin market. METHODS: The average standardized price ($/mg-pure) and purity (% by weight) of heroin from 1993 to 2004 was from obtained from US Drug Enforcement Agency retail purchase data for 20 metropolitan statistical areas. Univariate statistics, robust Ordinary Least Squares regression and mixed fixed and random effect growth curve models were used to predict the price and purity data in each metropolitan statistical area over time. RESULTS: Over the 12 study years, heroin price decreased 62%. The median percentage of all heroin samples that are of South American origin increased an absolute 7% per year. Multivariate models suggest percent South American heroin is a significant predictor of lower heroin price and higher purity adjusting for time and demographics. CONCLUSION: These analyses reveal trends to historically low-cost heroin in many US cities. These changes correspond to the entrance into and rapid domination of the US heroin market by Colombian-sourced heroin. The implications of these changes are discussed.

Social Welfare Policy and Public Assistance for Low-Income Substance Abusers: The Impact of 1996 Welfare Reform Legislation on the Economic Security of Former Supplemental Security Income Drug Addiction and Alcoholism Beneficiaries.

Prior to January 1, 1997, individuals with drug- or alcohol-related disabilities could qualify for federal public assistance through the Supplemental Security Income (SSI) program. During the welfare reforms of the Clinton administration, this policy was changed resulting in lost income and health care benefits for many low-income substance abusers. This paper examines the historical underpinnings to the elimination of drug addiction and alcoholism (DA&A) as qualifying impairments for SSI disability payments. Following this, empirical evidence is presented on the effect this policy change had on the subsequent economic security of former SSI DA&A beneficiaries. Findings indicate that study participants that lost SSI benefits suffered increased economic hardship following the policy change. These findings have important implications for future social welfare policymaking decisions.

Measuring community preferences for public mental health services: pilot test of a mail survey method.

This study tested the feasibility of a simple mail survey approach to measuring community preferences for mental health services. A 38 item survey detected statistically significant differences in preferences for four central goals, finding that community members most value Focus on the Severely Mentally Ill, followed by Community Safety and Environment, Service Quality and Original Community Mental Health Goals. Some procedural problems were encountered that reduced the response rates, however, the study yielded information that suggests improved procedures for future surveys. Simple mail surveys appear to offer a potentially affordable, efficient way to assess community service priorities.