Exploring the relative importance of factors that influence the job retention of social care staff working in intellectual disability services

We wanted to find out what would help care staff to stay in their jobs. The most important thing for them was getting on well with the person they supported. The next most important thing was their pay. These results can be used to find ways to help staff stay in their jobs. This is important to make sure that people with a learning disability get good support. Abstract: Background: High staff turnover presents a challenge to the provision of good quality community-based support to people with an intellectual disability. While recent research has identified factors that are thought to be important for staff retention, their relative importance to social care staff is unknown. The aim of this study was to address this gap. Methods: 205 social care staff who worked in intellectual disability services completed an online questionnaire that asked them to: rank factors that had been previously identified as influencing staff retention in order of importance; identify the extent to which their most important factor was met by their organisation (fulfilment score); and rate their recent job-seeking intentions. Findings: The most important factor overall was the relationship of the staff member with the person they supported. This was also identified as the most important factor by the most participants, followed by pay. All of the factors, with the exception of “benefits” (such as pensions), were rated by at least one person as the most important factor. A significant negative relationship was found between fulfilment score and job-seeking score; that is, the lower the former, the more the person agreed that they had been seeking a new job. Conclusion: The results suggest that interventions to improve staff retention should take account of differences in staff views about which work-related factors are most important to them; use multi-component approaches where possible; prioritise staff pay; and help ensure that staff relationships with those they support are positive and fulfilling

Recruitment and retention of adolescents for an ecological momentary assessment measurement burst mental health study:The MHIM engagement strategy

Introduction: Recruitment and long-term retention of adolescent participants in longitudinal research are challenging and may be especially so in studies involving remote measurement and biosampling components. The ability to effectively recruit and retain participants can be supported by the use of specific evidence-based engagement strategies that are built in from the earliest stages. Methods: Informed by a review of the evidence on effective engagement strategies and consultations with adolescents (via two Young Person Advisory Groups [YPAGs]; ages 11–13 and 14–17), the current protocol describes the planned participant engagement strategy for the Mental Health in the Moment Study: a multimodal measurement burst study of adolescent mental health across ages 11–19. Results: The protocol incorporates engagement strategies in four key domains: consultations/co-design with the target population, incentives, relationship-building and burden/barrier reduction. In addition to describing general engagement strategies in longitudinal studies, we also discuss specific concerns regarding engagement in data collection methods such as biosampling and ecological momentary assessment where a paucity of evidence exists. Conclusion: Engagement strategies for adolescent mental health studies should be based on existing evidence and consultations with adolescents. We present our approach in developing the planned engagement strategies and also discuss limitations and future directions in engaging adolescents in longitudinal research. Patient or Public Contribution: The study design for this project places a strong emphasis on the active engagement of adolescents throughout its development. Specifically, the feedback and suggestions provided by the YPAGs have been instrumental in refining our strategies for maximising the recruitment and retention of participants

Understanding the Factors at Play in the Sender-Receiver Dynamic During the Telepathy Ganzfeld: A Meta-Analysis

Objective. To use meta-analysis to explore five previously uninvestigated factors related to the sender-receiver dynamic in the telepathy ganzfeld. The five factors of interest are: a) did the receiver see the sender’s room prior to the session?; b) could the sender hear the receiver during the mentation period?; c) could the sender hear the receiver during the judging period?; d) was the sender explicitly told to be silent?; and e) did the experimenter assist in the review section of the session? Method: Telepathy ganzfeld studies conducted post Joint Communiqué, with one session per day and the receivers rating the targets, were chosen. Two mixed-effects models were fit: 1) using the study hit rates as the binomial mean; and 2) using the study hit rates as a proportion. Both models have the five factors as binary moderators. Results: Both the binomial mean and proportion models suggest a significant effect of the moderators overall and two factors individually: 1) the sender being able to hear the receiver during the mentation period; and 2) a review period after the mentation period. Permutation tests for both models also show significant effects of the moderators and the two factors. Conclusion: The sender being able to hear the receiver’s mentation appears to increase overall study success, while the review period decreases overall study success

Cohort Profile: The Zurich Project on the Social Development from Childhood to Adulthood (z-proso)

The Zurich Project on the Social Development from Childhood to Adulthood (z-proso) began in 2004 in response to the need for a better evidence base to support optimal child social development and prevent crime and violence. Since then, the study has tracked the development of a diverse sample of youths (N = 1,675 in the target sample; ~50% female) from age 7 (n = 1,360) to age 20 (n = 1,180), with primary data collection waves at ages 7, 8, 9, 10, 11, 12, 13, 15, 17, and 20. The study uses a multi-method, multi-informant design that combines teacher, youth, and parent reports with observational and behavioural measures, biosampling, functional imaging, and ecological momentary assessment. Analyses of the data have contributed important evidence to a diversity of topics in child and adolescent development, illuminating the developmental roots of crime and aggression, the impacts of exposure to different forms and combinations of victimisation, and trajectories of mental health and neurodevelopmental symptoms

Long-term labour market and economic consequences of school exclusions in England:Evidence from two counterfactual approaches

Background: Previous research suggests that school exclusion during childhood is a precursor to social exclusion in adulthood. Past literature on the consequences of school exclusion is, however, scarce and mainly focused on short-term outcomes such as educational attainment, delinquency, and mental health in early adolescence. Moreover, this evidence is based primarily on descriptive and correlational analysis, whereas robust causal evidence is required to best inform policy. Aims: We aimed to estimate the mid-to-long-term impact of school exclusion on labour market and economic outcomes. Sample: The sample included 6,632 young people who at the age of 25/26 in the year 2015 participated in the Next Steps survey of whom 86 were expelled from school and 711 were suspended between the ages of 13/14 and 16/17. Method: Using high quality existing longitudinal data, we utilized four approaches to evaluate the impact of school exclusion: logistic regression-adjustment models, propensity score matching, school fixed-effects analysis, and inverse propensity weighting. The latter two counterfactual approaches were used to estimate causal effects. Results: We found that school exclusion increased the risk of becoming NEET at the age of 19/20, and then remaining economically inactive at the age of 25/26, as well as experiencing higher unemployment risk and earning lower wages also at the age of 25/26. Conclusion: School exclusion has pervasive negative effects into adulthood. Policy interventions should focus on both prevention and mitigating its negative effects. Interventions aimed at re-integrating excluded individuals into education or vocational training could be key in reducing the risk of poor socio-economic outcomes and social exclusion

Screening for intellectual disability in autistic people: A brief report

Background: There is high co-occurrence between intellectual disability and Autism Spectrum Disorder (ASD). It is important to identify people who have both conditions for clinical and research reasons. This study explored if the Child and Adolescent Intellectual Disability Screening Questionnaire (CAIDS-Q) and Learning Disability Screening Questionnaire (LDSQ) could accurately identify intellectual disability in autistic children and adults respectively. Method: Pre-existing CAIDS-Q data for 40 autistic children and LDSQ data for 27 autistic adults were used. The participants were classified as likely to have an intellectual disability or not based on the age-appropriate cut-off score on the relevant screening tools. This was compared with their clinical diagnosis of intellectual disability. Results: The sensitivity, specificity, and positive and negative predictive values, for the CAIDS-Q were 93.1%, 88.5%, 90% and 92% respectively. The corresponding figures for the LDSQ were 75%, 95.6%, 75%, and 95.6%. Conclusions: The values for the CAIDS-Q were broadly consistent with figures found in previous research. The sensitivity and PPV figures for the LDSQ, were somewhat lower. The specificity and sensitivity values for both measures were above the threshold for levels that are generally considered to be acceptable for a developmental screening tool. The results suggest that the CAIDS-Q and LDSQ may be appropriate measures to screen for intellectual disability in autistic people

The role of student–teacher relationships in the association between negative parenting practices and emotion dynamics – Combining longitudinal and ecological momentary assessment data

Emotion dysregulation is increasingly implicated as a transdiagnostic risk factor in the etiology of mental health problems. This project aimed to explore the links between emotion regulation, negative parenting and student-teacher relationships using longitudinal and ecologically valid data. A sample of n = 209 young people enrolled in the 'Decades-to-Minutes' (D2M) study, based in Zurich, Switzerland, provided data from the ages of 7-20 via parent- and self-report questionnaires and ecological momentary assessment. Data were analyzed using Dynamic Structural Equation Modeling (DSEM). Worse student-teacher relationships predicted increased negative affectivity and emotional lability. Negative parenting practices predicted emotional lability only via their impact on student-teacher relationships. The findings point to worse student-teacher relationships as risk factors in the socioemotional development of children and young people

A multi-trajectory analysis of commonly co-occurring mental health issues across childhood and adolescence.

Funder: Jacobs Foundation; doi: http://dx.doi.org/10.13039/501100003986Funder: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; doi: http://dx.doi.org/10.13039/501100001711Funder: University of EdinburghDevelopmental trajectories of mental health issues can often be usefully summarised in a small number of clinically meaningful subtypes. Given the high levels of heterotypic and homotypic comorbidity in child and adolescent mental health symptoms, we explored whether it was possible to identify clinically meaningful developmental subtypes of multiple commonly co-occurring mental health issues. We evaluated the combined developmental trajectories of the most common and commonly co-occurring child and adolescent mental health issues: attention-deficit/hyperactivity disorder (ADHD), internalising, and externalising symptoms in a normative sample of youth with data (n = 1620) at ages 7, 8, 9, 10, 11, 12, 13 and 15 using group-based multi-trajectory modelling. Multinomial logistic regression was used to evaluate predictors of group membership. Our optimal model included six trajectory groups, labelled 'unaffected', 'normative maturing', 'internalising', 'multimorbid late onset', 'multimorbid remitting', and 'multimorbid with remitting externalising'. Examining covariates of group membership suggested that males and bully victims tend to have complex mental health profiles; academic achievement and smoking during pregnancy have general associations with mental health irrespective of symptom developmental trajectories or combination; and maternal post-natal depression is primarily related to symptoms that are already in evidence by the beginning of the school years. Results suggest that developmental trajectories of commonly co-occurring mental health issues can be usefully summarised in terms of a small number of developmental subtypes. These subtypes more often than not involve multiple co-occurring mental health issues. Their association with mental health covariates depends on the combination and developmental timing of symptoms in ways that suggest they can be clinically informative.Funding from the Jacobs Foundation and Swiss National Science Foundation are gratefully acknowledged

Common Cause Versus Dynamic Mutualism: An Empirical Comparison of Two Theories of Psychopathology in Two Large Longitudinal Cohorts

Mental disorders are among the leading causes of global disease burden. To respond effectively, a strong understanding of the structure of psychopathology is critical. We empirically compared two competing frameworks, dynamic-mutualism theory and common-cause theory, that vie to explain the development of psychopathology. We formalized these theories in statistical models and applied them to explain change in the general factor of psychopathology (p factor) from early to late adolescence ( N = 1,482) and major depression in middle adulthood and old age ( N = 6,443). Change in the p factor was better explained by mutualism according to model-fit indices. However, a core prediction of mutualism was not supported (i.e., predominantly positive causal interactions among distinct domains). The evidence for change in depression was more ambiguous. Our results support a multicausal approach to understanding psychopathology and showcase the value of translating theories into testable statistical models for understanding developmental processes in clinical sciences

Common cause versus dynamic mutualism:An empirical comparison of two theories of psychopathology in two large longitudinal cohorts

Stress and Psychopatholog