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Medical and legal records of 64 inmates receiving mental health services at a maximum-security prison located in the Northeast United States were examined to look at whether prison adjustment is impacted by housing in a mental health residential treatment unit. Inmates in the residential treatment unit, the “treatment group” had a significant decrease in hospitalizations and disciplinary reports while housed in the residential treatment unit. Inmates with a mental health history housed in the general population, the “control group,” did not show a decrease in these behaviors during a similar time period. Results find that inmates referred to the residential treatment unit seem to have high numbers of hospitalizations and segregations while housed in the general population, which level off and become similar to the control group upon entry to the residential treatment unit. Implications for future research evaluating the impact of the residential treatment unit on the behavior of the inmate after he has left the unit are discussed.

Studies evaluating the external validity of theoretically informed (risk-need-responsivity [RNR]) cognitive behavioral therapy (CBT) programs have not systematically assessed antisocial personality traits as a source of variability in outcomes. The purpose of this brief report is to examine antisocial traits as a potential source of variability in outcomes.

Using longitudinal, program-evaluation data (a sample of incarcerated men who were exposed to RNR-informed CBT), the authors examined how antisocial personality traits, attitudes toward treatment and dosage impacted treatment outcomes. A linear regression assessed the relationship between antisocial personality traits and attitudes toward treatment. A latent profile analysis identified participants with elevated antisocial traits and negative attitudes toward treatment. Treatment dosage groups (0, 5, 10 and 15 weeks) were used to assess treatment response per pro-criminal attitudes, skills and rates of recidivism.

Antisocial traits predicted negative attitudes toward treatment. Elevated antisocial traits and negative treatment attitudes predicted less change in criminal attitudes among those who completed 15 weeks of treatment; higher dosage did not significantly improve rates of recidivism. Variable-centered post hoc analyses largely corroborated these findings. These results suggest RNR-informed CBT may need to be modified for justice-involved persons with elevated antisocial traits.

Few studies have empirically examined the sources of variability in treatment effects for justice-involved persons with antisocial personality traits. This brief report provides a structured examination of factors that may impact treatment outcomes in this population, and therefore aims to inform future research on the effectiveness of empirically supported interventions for people in the legal system.

In this study, we examine the relation between employee treatment and annual report readability, which is measured as a reading difficulty score.

We use regression analysis to explore the impact of employee treatment on annual report reading difficulty.

We find a significant negative relation between employee treatment and reading difficulty, which suggests that annual reports of firms with better employee treatment are easier to read and understand (i.e. more readable).

Our study contributes to a more thorough knowledge of annual report readability and our findings may be of relevance to accounting standard setters and investors.

Material extrusion-based additive manufacturing is a prominent manufacturing technique to fabricate complex geometrical three-dimensional (3D) parts. Despite the indisputable advantages of material extrusion-based technique, the poor surface and subsurface integrity hinder the industrial application of this technology. The purpose of this study is introducing the hot air jet treatment (HAJ) technique for surface treatment of additive manufactured parts.

In the presented research, novel theoretical formulation and finite element models are developed to study and model the polishing mechanism of printed parts surface through the HAJ technique. The model correlates reflow material volume, layer width and layer height. The reflow material volume is a function of treatment temperature, treatment velocity and HAJ velocity. The values of reflow material volume are obtained through the finite element modeling model due to the complexity of the interactions between thermal and mechanical phenomena. The theoretical model presumptions are validated through experiments, and the results show that the treatment parameters have a significant impact on the surface characteristics, hardness and dimensional variations of the treated surface.

The results demonstrate that the average value of error between the calculated theoretical results and experimental results is 14.3%. Meanwhile, the 3D plots of Ra and Rq revealed that the maximum values of Ra and Rq reduction percentages at 255°C, 270°C, 285°C and 300°C treatment temperatures are (35.9%, 33.9%), (77.6%,76.4%), (94%, 93.8%) and (85.1%, 84%), respectively. The scanning electron microscope results illustrate three different treatment zones and the treatment-induced and manufacturing-induced entrapped air relief phenomenon. The measured results of hardness variation percentages and dimensional deviation percentages at different regimes are (8.33%, 0.19%), (10.55%, 0.31%) and (−0.27%, 0.34%), respectively.

While some studies have investigated the effect of the HAJ process on the structural integrity of manufactured items, there is a dearth of research on the underlying treatment mechanism, the integrity of the treated surface and the subsurface characteristics of the treated surface.

This study aims to examine the relationship between medication for opioid use disorder (MOUD) among pregnant individuals, referral source, mental health, political affiliation and substance use policies in all 50 states in the USA.

This study describes MOUD receipt among pregnant people with an opioid use disorder (OUD) in 2018. The authors explored sociodemographic differences in MOUD receipt, referrals and co-occurring mental health disorders. The authors included a comparison of MOUD receipt among states that have varying substance use policies and examined the impact of these policies and the political affiliation on MOUD. The authors used multilevel binary logistic regression to examine effects of individual and state-level characteristics on MOUD.

Among 8,790 pregnant admissions with OUD, the majority who received MOUD occurred in the Northeast region (71.52%), and 14.99% were referred by the criminal justice system (n = 1,318). Of those who were self-referred, 66.39% received MOUD, while only 30.8% of referrals from the criminal justice system received MOUD. Those referred from the criminal justice system or who had a co-occurring mental health disorder were least likely to receive MOUD. The multilevel model showed that while policies were not a significant predictor, a state’s political affiliation was a significant predictor of MOUD.

The study has some methodological limitations; a state-level analysis, even when considering the individual factors, may not provide sufficient description of community-level or other social factors that may influence MOUD receipt. This study adds to the growing literature on the ineffectiveness of prenatal substance use policies designed specifically to increase the use of MOUD. If such policies are consistently assessed as not contributing to substantial increase in MOUD among pregnant women over time, it is imperative to investigate potential mechanisms in these policies that may not facilitate MOUD access the way they are intended to.

Findings from this study aid in understanding the impact that a political affiliation may have on treatment access; states that leaned more Democratic were more likely to have higher rates of MOUD, and this finding can lead to research that focuses on how and why this contributes to greater treatment utilization. This study provides estimates of underutilization at a state level and the mechanisms that act as barriers, which is a stronger assessment of how state-specific policies and practices are performing in addressing prenatal substance use and a necessary step in implementing changes that can improve the links between pregnant women and MOUD.

To the best of the authors’ knowledge, this is the first study to explore individual-level factors that include mental health and referral sources to treatment that lead to MOUD use in the context of state-level policy and political environments. Most studies estimate national-level rates of treatment use only, which can be useful, but what is necessary is to understand what mechanisms are at work that vary by state. This study also found that while substance use policies were designed to increase MOUD for pregnant women, this was not as prominent a predictor as other factors, like mental health, being referred from the criminal justice system, and living in a state with more Democratic-leaning affiliations.

Globally, hepatitis C treatment uptake is lower among people who are homeless or unstably housed compared to those who are housed. Understanding and addressing this is essential to ensure no one is left behind in hepatitis C elimination efforts. This study aims to explore peoples’ experiences of unstable housing and health care, and how these experiences influenced engagement in hepatitis C treatment.

Purposive sampling was used to recruit people with lived experience of injection drug use, hepatitis C and unstable housing in Melbourne, Australia. In-depth semistructured interviews were conducted and a case study approach with interpretative phenomenological analysis was used to identify personal experiential themes and group experiential themes.

Four people were interviewed. The precarious nature of housing for women who inject drugs was a group experiential theme, however, this did not appear to be a direct barrier to hepatitis C treatment. Rather, competing priorities, including caregiving, were personal experiential themes and these created barriers to treatment. Another group experiential theme was “right place, right time, right people” with these three elements required to facilitate hepatitis C treatment.

There is limited research providing in-depth insight into how personal experiences with unstable housing and health care shape engagement with hepatitis C treatment. The analyses indicate there is a need to move beyond a “one size fits-all” approach to hepatitis C care. Instead, care should be tailored to the needs of individuals and their personal circumstances and regularly facilitated. This includes giving greater attention to gender in intervention design and evaluation, and research more broadly.

The purpose of this study is to introduce the top-level design ideas and the overall architecture of earthquake early-warning system for high speed railways in China, which is based on P-wave earthquake early-warning and multiple ways of rapid treatment.

The paper describes the key technologies that are involved in the development of the system, such as P-wave identification and earthquake early-warning, multi-source seismic information fusion and earthquake emergency treatment technologies. The paper also presents the test results of the system, which show that it has complete functions and its major performance indicators meet the design requirements.

The study demonstrates that the high speed railways earthquake early-warning system serves as an important technical tool for high speed railways to cope with the threat of earthquake to the operation safety. The key technical indicators of the system have excellent performance: The first report time of the P-wave is less than three seconds. From the first arrival of P-wave to the beginning of train braking, the total delay of onboard emergency treatment is 3.63 seconds under 95% probability. The average total delay for power failures triggered by substations is 3.3 seconds.

The paper provides a valuable reference for the research and development of earthquake early-warning system for high speed railways in other countries and regions. It also contributes to the earthquake prevention and disaster reduction efforts.

This article discusses drug use treatment as a particular, indispensable institution in the political and cultural imagination of contemporary welfare societies. It is argued that the existence and funding of treatment is legitimate less on grounds of what it produces in terms of improvements to drug users' lives, and more as a politically and culturally suitable form of organizing the relationship between drug using and non‐using sections of the population. In this regard the analytical concept of treamentality ‐ a term formed as a combination of ‘treatment’ and the Foucauldian notion of ‘governmentality’ ‐ is suggested to help focus on how treatment has become the ‘obvious’ way to address certain problems of certain people.

Sex offenders who refuse a place on a sex offender treatment programme are estimated to make up about half the prison sex offender population in England and Wales. It is important to motivate refusers to participate in treatment to reduce the likelihood of their re‐offending. In this pilot study we used the Personal Concerns Inventory‐Offender Adaptation (PCI‐OA), a semi‐structured motivational assessment, further adapting it for treatment refusers. We examined the effectiveness of the PCI‐OA (TR) with nine prisoners who had refused sex offender treatment (the treatment group) compared with nine refusers who received no intervention (the control group). The treatment group were at least 0.6 times as likely to show a positive motivational shift towards sex offender treatment as the untreated group. The practice implications of these results are discussed, and further evaluation of the PCI‐OA (TR) is recommended.

This article sets out to provide information regarding the evidence base for psychological treatments and to demonstrate that the number of mental health professionals who are available and competent to deliver these treatments is very small compared with the numbers of people who might benefit. The article also considers the prevalence of conditions that are amenable to psychological treatment and then explores how ‘stepped care’ may be one solution for providing available treatment resources in a way that is fairest and most effective for the population at large.