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By older adulthood, the majority of individuals will have experienced at least one traumatic event. Trauma-informed care (TIC) is proposed to improve effectivity of health-care provision and to reduce likelihood of services causing retraumatisation. This study aims to assess the effectiveness of staff training in TIC in older adult services.

TIC training was delivered across eight Older Adult Community Mental Health Teams in the same UK organisation. Questionnaires were administered before and after training: a psychometrically robust measure, the Attitudes Related to Trauma-Informed Care, was used to assess TIC-related attitudes, and a service-developed scale was used to measure changes in TIC competence. Data was analysed using linear mixed effects modelling (LMM). Qualitative data regarding the impact of training was gathered one month after training through a free-text questionnaire.

There were 45 participants, all of whom were white British. LMM on pre- and post-data revealed that staff training significantly increased competencies across all measured TIC domains. Overall, staff attitudes were also significantly more trauma-informed after training. Qualitatively, staff identified time as the only additional resource required to deliver the skills and knowledge gained from training.

Training was found to be effective in increasing TIC-related skills and attitudes. Organisations aiming to become trauma-informed should consider staff training as one aspect of a wider development plan.

To the best of the authors’ knowledge, this paper is the first to examine TIC training for staff working in Older Adults Mental Health Services. Recommendations for services aiming to develop a trauma-informed culture have been provided.

Parents whose children have undergone an autism assessment often describe the process as extremely stressful. This affects how parents engage with services post-diagnosis, meaning less likelihood of using subsequent service support despite struggling to cope. Since parents already report many barriers to accessing services, e.g. long waiting lists, lack of co-ordination and limited resources (Sapiets et al. 2023), negative experiences during assessment should not pose another potential barrier to engagement. This study aimed to address how families’ needs can be better met during the assessment process.

In this qualitative study, the author conducted semi-structured interviews with 11 parents whose child had undergone an autism assessment in the last five years. Thematic analysis determined key themes.

The six themes were: clarity and communication, access to support and resources, aftercare, recognition of parent concerns, personalisation of the assessment process and concerns around the use of personal protective equipment/online assessments. These themes led to criteria to assess the quality of autism assessment services in line with parent perspectives.

These parent-informed criteria could facilitate the consideration of parents’ views into service evaluations of autism assessment services across the UK.

Previous research indicates that the autism assessment experience is often extremely stressful and overwhelming for families (Crane et al., 2016). Despite this, guidance to improve autism services rarely prioritises the opinions and experiences of service-users and their families. The criteria presented here were derived from themes identified by interviewing parents on their experiences of the autism assessment process, thus shifting the focus onto service-users.

The shift in policy discourse towards individualism is affecting service provision and access, which has become increasingly conditioned on individual agency and the “deservingness” of the recipient. Gendered and intersectional experiences of homelessness and excluded populations less likely to be living on the streets remain overlooked and unaddressed. This study thus aims to uncover what drives “invisibility” in services for women experiencing multiple disadvantage and the gendered constraints the women are facing when exiting and navigating multiple disadvantage.

The paper draws on in-depth interviews with women who face severe and multiple disadvantage and their support staff. Data is also gathered through survey data and observations with a wide range of frontline service providers, as well as support notes and numerical progress data recorded by one of the service providers.

Contradicting the common assumption that people act as rational actors in their interaction with services, the author found that women’s decisions to (dis)engage may be blinded by forces of multiple disadvantage and mistrust. These are often developed as a result of systemic and gendered constraints that limit women’s capabilities and exercise of choice. Barriers in service access often amplified the personal barriers they were facing and reinforced women’s decisions to not engage with services.

The author hopes that this paper sheds light on the particular set of barriers women with multiple disadvantage face, which will be vital to reach women who face severe disadvantage and provide more effective policies, care and support.

This study gives voice to a particular hidden population: women with multiple disadvantage. It contributes to existing frameworks on agency and choice by understanding gendered barriers behind service engagement and how services themselves may be contributing to women’s invisibility.

This policy brief provides policy recommendations on the internal design of new secure children's homes (SCHs).

These policy recommendations are developed from findings from focus group discussions with academics, practitioners, frontline workers, and leaders in child protection services.

We aimed to identify factors that influence student engagement in distance learning.

The research involved a group of 671 students from economic and technical higher education institutions in Poland. We collected the data with the CAWI technique and an original survey. Next, we processed the data using principal component analysis and then used the extracted components as predictors in the induced smoothing LASSO regression model.

The components of the students’ attitude toward remote classes learning conditions are: satisfaction with teachers’ approach, attitude to distance learning, the system of students’ values and motivation, IT infrastructure of the university, building a network of contacts and communication skills. The final model consisted of seven statistically significant variables, encompassing the student’s sex, level of studies and the first five extracted PCs. Student’s system of values and motivation as well as attitude toward distance learning, were those variables that had the biggest influence on student engagement.

The research result suggests that in addition to students’ system of values and motivation and their attitude toward distance learning, the satisfaction level of teachers’ attitude is one of the three most important factors that influence student engagement during the distance learning process.

The main value of this article is the statistical model of student engagement during distance learning. The article fills the research gap in identifying and evaluating the impact of various factors determining student engagement in the distance learning process.

In New Zealand, building information modelling (BIM) prevalence is still in its early stages and faces many challenges. This research aims to develop a BIM adoption framework to determine the key factors affecting the success of a BIM project.

Both primary and secondary data were employed in this research, including 21 semi-structured interviews and industry guidelines from the three most well-known global building excellence models (BEMs). The data were analysed through content analysis due to its recognised benefits as a transparent and reliable approach.

Leadership, clients and other stakeholders, strategic planning, people, resources, process and results were identified as seven main categories along with 39 indicators in the BIM adoption framework. Based on the interviewees' perspectives, leadership is considered the most significant category, impacting all of the remaining categories.

Using the developed framework will enhance comprehension of BIM, offering directives for those embracing BIM. This will aid construction stakeholders in being better equipped for BIM projects. Having a skilled BIM manager can lead to the success of construction projects.

This research contributed to the existing body of knowledge by providing the categories with specific factors that assist BIM practitioners in assessing their BIM performance for further BIM practice improvement.

The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019.

The authors demonstrate the way of applying text-mining and the Word2Vec model to identify hot topics (HT) and emerging trends (ET) in clinical psychology and psychotherapy. The analysis of 11.3 million scientific publications in the Microsoft Academic Graph database revealed the most rapidly growing clinical psychology and psychotherapy terms – those with the largest increase in the number of publications reflecting real or potential trends.

The proposed approach allows one to identify HT and ET for the six thematic clusters related to mental disorders, symptoms, pharmacology, psychotherapy, treatment techniques and important psychological skills.

The developed methodology allows one to see the broad picture of the most dynamic research areas in the field of clinical psychology and psychotherapy in 2010–2019. For clinicians, who are often overwhelmed by practical work, this map of the current research can help identify the areas worthy of further attention to improve the effectiveness of their clinical work. This methodology might be applied for the identification of trends in any other subject area by taking into account its specificity.

The paper demonstrates the value of the advanced text-mining approach for understanding trends in a subject area. To the best of the authors’ knowledge, for the first time, text-mining and the Word2Vec model have been applied to identifying trends in the field of clinical psychology and psychotherapy.

Understanding when an individual is being deceptive is an important part of police and criminal investigations. While investigators have developed multiple methods, the research literature has yet to fully explore some of the newer applied techniques. This study aims to investigate statement analysis, a recent approach in forensic linguistic analysis that has been applied to criminal investigations.

Real-world statements of individuals exposed as deceptive or truthful were used in the analyses. A behaviour sequence analysis approach is used to provide a timeline analysis of the individuals’ statements.

Results indicate that sequential patterns are different in deceptive statements compared to truthful statements. For example, deceptive statements were more likely to include vague words and temporal lacunas, to convince investigators into believing that the suspect was not present when the crime occurred. The sample in this research did not use one deceptive indicator, instead, electing to frequently change the order of deceptive indicators. Gaps in deception were also noted, and there was common repetition found in both the deceptive and truthful statements. While gaps are predicted to occur in truthful statements to reflect an absence of deception, gaps occurring in the deceptive statements are likely due to cognitive load.

The current research provides more support for using statement analysis in real-world criminal cases.

From a psychosocial perspective, this study aims to understand the impact of psychosocial safety climate (PSC) on the intent to stay of construction workers and provides practical recommendations for construction enterprises to retain construction workers.

This study proposes the conceptual framework explained by the conservation of resources (COR) theory and develops a mediation model of “PSC – job satisfaction – intent to stay” within the framework supported by the stimulus–organism–response (SOR) model. Then, a questionnaire survey of 489 construction workers in Guangzhou was conducted and structural equation modeling (SEM) analysis was performed on the data collected.

Results show that PSC has a significant and positive effect on job satisfaction and intent to stay. In addition, job satisfaction partially mediates the effect of PSC on intent to stay. Hence, the theoretical model of “PSC – job satisfaction – intent to stay” has been empirically tested and supported.

This study is the first to investigate the effect of PSC on intent to stay and enriches the research on the retention of construction workers. The COR theory explains well the mechanism of PSC influence on intent to stay, thus expanding its application to the construction field. Moreover, this study provides practical recommendations for construction enterprises to retain workers so as to build a stable and productive workforce.

As knowledge hiding is prevalent and often leaves severe detrimental consequences in its wake, it is imperative to place strategies on the front burner to identify its potential antecedents forthwith if there is going to be any headway to curtail the incidence of this phenomenon in organizations. Therefore, this study aims to examine the relationship between dispositional greed and knowledge hiding with the perceived loss of knowledge power as an underlying mechanism.

A multi-wave, three weeks apart strategy was used for data collection. A sample of 262 employees working full-time in various organizations operating across different industries in Nigeria participated in this study. Data were analyzed with partial least squares structural equation modeling.

The results showed that dispositional greed related positively to a perceived loss of knowledge power but insignificantly to any of the three dimensions of knowledge hiding (i.e. playing dumb, evasive hiding and rationalized hiding). On the other hand, the relationship between perceived loss of knowledge power and the three dimensions of knowledge hiding was positive. Finally, dispositional greed had an indirect positive relationship with the three dimensions of knowledge hiding through perceived loss of knowledge power.

All the variables were self-reported, which may lead to the same source bias.

Human resources managers can subject employees to cognitive restructuring training to help them identify thinking patterns that contribute to the perception of losing their power in the organization if they share knowledge and help reshape their perceptions regarding knowledge sharing. Management can use rewards to encourage employees to adopt knowledge sharing and refrain from knowledge hiding as a desired organizational norm.

This study offers novel insights that identify an underlying mechanism that encourages greedy employees to enact knowledge hiding.