CORRELATES OF INTERORGANIZATIONAL SERVICE COORDINATION IN COMMUNITY CORRECTIONS.

Because weak interagency coordination between community correctional agencies (e.g., probation and parole) and community-based treatment providers has been identified as a major barrier to the use of evidence-based practices (EBPs) for treating druginvolved offenders, this study sought to examine how key organizational (e.g., leadership, support, staffing) and individual (e.g., burnout, satisfaction) factors influence interagency relationships between these agencies. At each of 20 sites, probation/parole officials (n = 366) and community treatment providers (n = 204) were surveyed about characteristics of their agencies, themselves, and interorganizational relationships with each other. Key organizational and individual correlates of interagency relationships were examined using hierarchical linear models (HLM) analyses, supplemented by interview data. The strongest correlates included Adaptability, Efficacy, and Burnout. Implications for policy and practice are discussed.

Effects of an Organizational Linkage Intervention on Inter-Organizational Service Coordination Between Probation/Parole Agencies and Community Treatment Providers.

Weak coordination between community correctional agencies and community-based treatment providers is a major barrier to diffusion of medication-assisted treatment (MAT)--the inclusion of medications (e.g., methadone and buprenorphine) in combination with traditional counseling and behavioral therapies to treat substance use disorders. In a multisite cluster randomized trial, experimental sites (j = 10) received a 3-h MAT training plus a 12-month linkage intervention; control sites (j = 10) received the 3-h training alone. Hierarchical linear models showed that the intervention resulted in significant improvements in perceptions of interagency coordination among treatment providers, but not probation/parole agents. Implications for policy and practice are discussed.

Developing effective interorganizational relationships between community corrections and community treatment providers.

Weak service coordination between community corrections and community treatment agencies is a significant barrier in the diffusion of pharmacotherapy for treating opioid and alcohol use disorders. This analysis draws on qualitative interviews (n=141) collected in a multisite randomized trial to explore what probation/parole officers and treatment staff believe are the most critical influences on developing positive interorganizational relationships (IORs) between their respective agencies. Officers and treatment staff highlighted factors at both the individual and organizational level, with issues related to communication surfacing as pivotal. Findings suggest that future interventions consider developing shared interagency goals with input at all staff levels.

Ebola virus disease in a humanitarian aid worker - New York City, October 2014.

In late October 2014, Ebola virus disease (Ebola) was diagnosed in a humanitarian aid worker who recently returned from West Africa to New York City (NYC). The NYC Department of Health and Mental Hygiene (DOHMH) actively monitored three close contacts of the patient and 114 health care personnel. No secondary cases of Ebola were detected. In collaboration with local and state partners, DOHMH had developed protocols to respond to such an event beginning in July 2014. These protocols included safely transporting a person at the first report of symptoms to a local hospital prepared to treat a patient with Ebola, laboratory testing for Ebola, and monitoring of contacts. In response to this single case of Ebola, initial health care worker active monitoring protocols needed modification to improve clarity about what types of exposure should be monitored. The response costs were high in both human resources and money: DOHMH alone spent $4.3 million. However, preparedness activities that include planning and practice in effectively monitoring the health of workers involved in Ebola patient care can help prevent transmission of Ebola.

Public opinion on the expenditure of adult-use cannabis tax revenue: Evidence from New Jersey.

OBJECTIVES: To describe New Jersey residents' relative priorities for the allocation of tax revenue generated by recreational cannabis sales. We aim to assess preferences for public health initiatives, including drug treatment, compared to a range of alternatives, including traditional policing, especially within the social and demographic groupings of people generally most impacted by punitive drug enforcement policies. METHODS: We collected population-representative survey data four months post-implementation of recreational cannabis sales in New Jersey (N = 1,006). We gauge respondents' top preferences for the allocation of new revenue generated by the legal cannabis market. Using multinomial logistic regression, we assess how various demographic and political factors shape public support for devoting revenue toward public health initiatives. RESULTS: While priorities are mixed within the sample, we find more general support for funding community-based initiatives in public health, housing, and education than for funding police, courts, and prisons. Among Black residents, the largest proportion chose investments in affordable housing. Regression analysis reveals political orientation as having the most consistent association with expressed preferences, with Republicans favoring investments in traditional law enforcement priorities over other potential funding domains. CONCLUSIONS: Recreational cannabis legalization is occurring at a rapid pace, yet important context, including how the tax revenue could be invested in communities, remains unclear. Insight into current public opinion on funding priorities suggests a desire for investment in fundamental societal institutions, including education and public health, rather than the punitive enforcement mechanisms that have defined cannabis policy for many decades.

Mental and Physical Health, Psychosocial Maturity, and Desistance in Young Adulthood.

Recent theoretical and empirical work has drawn increased attention to the role that mental and physical health can play in promoting life-course success and desistance from crime. This study integrates literature on youth development with the health-based desistance framework to investigate a key developmental pathway through which health influences desistance among system-involved youth. Using multiple waves of data from the Pathways to Desistance Study, the current study uses generalized structural equation modeling to examine whether and to what extent mental and physical health influence offending and substance use directly and indirectly through psychosocial maturity. Findings indicate that both depression and poor health stall the development of psychosocial maturity, and that those with higher psychosocial maturity are less likely to engage in offending and substance use. The model provides general support for the health-based desistance framework, finding an indirect process linking better health states to normative developmental desistance processes. Results hold important implications for the development of age-graded policies and programs geared toward promoting desistance among serious adolescent offenders both within correctional and community settings.

Profiling Clinical Research Activity at an Academic Medical Center by Using Institutional Databases: Content Analysis.

BACKGROUND: It is important to monitor the scope of clinical research of all types, to involve participants of all ages and subgroups in studies that are appropriate to their condition, and to ensure equal access and broad validity of the findings. OBJECTIVE: We conducted a review of clinical research performed at New York University with the following objectives: (1) to determine the utility of institutional administrative data to characterize clinical research activity; (2) to assess the inclusion of special populations; and (3) to determine if the type, initiation, and completion of the study differed by age. METHODS: Data for all studies that were institutional review board-approved between January 1, 2014, and November 2, 2016, were obtained from the research navigator system, which was launched in November 2013. One module provided details about the study protocol, and another module provided the characteristics of individual participants. Research studies were classified as observational or interventional. Descriptive statistics were used to assess the characteristics of clinical studies across the lifespan, by type, and over time. RESULTS: A total of 22%-24% of studies included children (minimum age <18 years) and 4%-5% focused exclusively on pediatrics. Similarly, 64%-72% of studies included older patients (maximum age >65 years) but only 5%-12% focused exclusively on geriatrics. Approximately 85% of the studies included both male and female participants. Of the remaining studies, those open only to girls or women were approximately 3 times as common as those confined to boys or men. A total of 56%-58% of projects focused on nonvulnerable patients. Among the special populations studied, children (12%-15%) were the most common. Noninterventional trial types included research on human data sets (24%), observational research (22%), survey research (16%), and biospecimen research (8%). The percentage of projects designed to test an intervention in a vulnerable population increased from 17% in 2014 to 21% in 2015. CONCLUSIONS: Pediatric participants were the special population that was most often studied based on the number of registered projects that included children and adolescents. However, they were much less likely to be successfully enrolled in research studies compared with adults older than 65 years. Only 20% of the studies were interventional, and 20%-35% of participants in this category were from vulnerable populations. More studies are exclusively devoted to women's health issues compared with men's health issues.

Clinical Outcomes in Critically Ill Coronavirus Disease 2019 Patients: A Unique New York City Public Hospital Experience.

To explore demographics, comorbidities, transfers, and mortality in critically ill patients with confirmed severe acute respiratory syndrome coronavirus 2. DESIGN: Retrospective cohort study. SETTING: Data were collected from a large tertiary care public hospital ICU that is part of the largest public healthcare network in the United States. PATIENTS: One-hundred thirty-seven adult (≥ 18 yr old) ICU patients admitted between March 10, 2020, and April 7, 2020, with follow-up collected through May 18, 2020. INTERVENTIONS: None. MEASUREMENTS: Demographic, clinical, laboratory, treatment, and outcome data extracted from electronic medical records. MAIN RESULTS: The majority of patients were male (99/137; 72.3%) and older than 50 years old (108/137; 78.9%). The most reported ethnicity and race were Hispanic (61/137; 44.5%) and Black (23/137; 16.7%). One-hundred six of 137 patients had at least one comorbidity (77.4%). One-hundred twenty-one of 137 (78.1%) required mechanical ventilation of whom 30 (24.8%) moved to tracheostomy and 46 of 137 (33.6%) required new onset renal replacement therapy. Eighty-two of 137 patients (59.9%) died after a median of 8 days (interquartile range 5-15 d) in the ICU. Male sex had a trend toward a higher hazard of death (hazard ratio, 2.1 [1.1-4.0]) in the multivariable Cox model. CONCLUSIONS: We report a mortality rate of 59.9% in a predominantly Hispanic and Black patient population. A significant association between comorbidities and mortality was not found in multivariable regression, and further research is needed to study factors that impact mortality in critical coronavirus disease 2019 patients. We also describe how a public hospital developed innovative approaches to safely manage a large volume of interhospital transfers and admitted patients.

How does reentry get under the skin? Cumulative reintegration barriers and health in a sample of recently incarcerated men.

RATIONALE: Research demonstrates a significant link between incarceration history and poorer physical and mental health. Yet, few studies have examined how a formerly incarcerated person's barriers to reintegration in the months upon release influence health outcomes. METHOD: We use data on recently incarcerated men from the Serious and Violent Offender Reentry Initiative (SVORI) to examine how multiple barriers to reintegration related to employment, housing, childcare, and service needs accumulate to influence physical and mental health three, nine, and 15 months after release. RESULTS: A series of cross-lagged panel models indicate that a greater number of barriers to reintegration after release from prison (1) decreases self-rated health at all three waves and (2) increases symptoms of depression three and nine months after release. Moreover, both lower self-rated physical health and increased symptoms of depression are found to increase reintegration barriers. CONCLUSIONS: Enhanced policy to ease the burden of reintegration and provide comprehensive services upon release may not only bolster chances for successful community reintegration but also improve the health of those formerly incarcerated at a critical juncture in their lives.

The reciprocal lagged effects of substance use and recidivism in a prisoner reentry context.

BACKGROUND: Much work has investigated the association between substance use, crime, and recidivism, yet little scholarship has examined these associations longitudinally among samples of recently released prisoners. We examine the lagged reciprocal effects of hard substance use and crime, among other covariates, in the context of the prisoner reentry process. METHODS: We rely on data from the Serious and Violent Offender Reentry Initiative (SVORI) evaluation and employ cross-lagged panel models to examine short-term changes in substance use and crime over time among a large sample of high-risk, former prisoners (N = 1697). RESULTS: Substance use marginally predicted increased odds of rearrest at one wave, and rearrest significantly (p < .05) predicted increased odds of substance use at another. As such, the results provide limited evidence for a degree of lagged mutual causation; associations vary over the reentry process and are complicated by other realities of life after prison. A key finding is that both behaviors are more consistently influenced by other factors, such as service needs and instrumental and emotional supports. CONCLUSIONS: Although there are relationships between drug use and criminal behavior, these behaviors alone are insufficient explanations for one another in an adult reentry population. Alternatively, the compounding social and personal needs of the reentry population, and the extent to which they received support or services to address these needs, appear to have the strongest influence on both behaviors in the reentry context.