Services to support adults with acquired brain injury (ABI) and return to work goals are varied. In Queensland, Australia, return to work goals may be addressed through private or publicly funded rehabilitation services or through publicly funded employment programs. No set frameworks or processes are in place to guide clinicians in providing vocational rehabilitation to adults with ABI, and the extent to which services address clients’ vocational goals and/or provide vocational rehabilitation is unknown.

This qualitative study investigated the clinical practice and experiences of allied health rehabilitation clinicians (n = 34) to identify current practice in providing vocational rehabilitation to adults with ABI, including pathways and services; models, frameworks and tools; and recommendations for ideal services. Focus groups and online surveys were conducted, with data analysed via content analysis.

ABI vocational rehabilitation was inconsistently delivered within and across services in Queensland, with differences in access to services, aspects of vocational rehabilitation provided and timeframes for rehabilitation. Five key themes were identified regarding ABI vocational rehabilitation and service delivery in Queensland: Factors influencing ABI and return to work; Service provision; ABI vocational rehabilitation processes (including assessment tools and interventions); Service gaps; and Ideal ABI vocational rehabilitation services.

These findings can inform clinical practice and development, and current and future service delivery models for ABI vocational rehabilitation.

Reaction time variability (RTV) has been estimated using Gaussian, ex-Gaussian, and diffusion model (DM) indices. Rarely have studies examined interrelationships among these performance indices in childhood, and the use of reaction time (RT) computational models has been slow to take hold in the developmental psychopathology literature. Here, we extend prior work in adults by examining the interrelationships among different model parameters in the ABCD sample and demonstrate how computational models of RT can clarify mechanisms of time-on-task effects and sex differences in RTs.

This study utilized trial-level data from the stop signal task from 8916 children (9–10 years old) to examine Gaussian, ex-Gaussian, and DM indicators of RTV. In addition to describing RTV patterns, we examined interrelations among these indicators, temporal patterns, and sex differences.

There was no one-to-one correspondence between DM and ex-Gaussian parameters. Nonetheless, drift rate was most strongly associated with standard deviation of RT and tau, while nondecisional processes were most strongly associated with RT, mu, and sigma. Performance worsened across time with changes driven primarily by decreasing drift rate. Boys were faster and less variable than girls, likely attributable to girls’ wide boundary separation.

Intercorrelations among model parameters are similar in children as has been observed in adults. Computational approaches play a crucial role in understanding performance changes over time and can also clarify mechanisms of group differences. For example, standard RT models may incorrectly suggest slowed processing speed in girls that is actually attributable to other factors.

Following acquired brain injury, the goal of return to work is common. While return to work is supported through different rehabilitation models and services, access to vocational rehabilitation varies within and between countries, and global rates of employment post-injury remain low. The literature identifies outcomes from vocational programs and experiences with return to work, yet little is known about individuals’ perceptions and experiences regarding rehabilitation to support their vocational goals and experiences in attempting to return to work.

This qualitative study investigated the experiences of community-living adults with acquired brain injury (n = 8; mean age 45 years; mean time post-injury of 5.5 years) regarding their vocational rehabilitation and return to work. Focus groups and semi-structured interviews were conducted, with data analyzed via thematic analysis.

Participants identified negative and positive experiences with vocational rehabilitation and return to work. Five overarching themes were identified: addressing vocational rehabilitation in rehabilitation; facilitators of recovery and return to work; the importance and experience of working again; acquired brain injury and identity; and services, systems and policies. Participants also identified five key areas for early vocational rehabilitation services: education; service provision; employer liaison; workplace supports; and peer mentors. Study findings inform current and future practice and service delivery, at a clinical, service and system level.

Using a retrospective observational approach, we aimed to discern whether there was a difference in metabolic parameters between psychiatric and general practice populations in the same locality. Second, we aimed to establish differences in metabolic parameters of patients taking olanzapine, clozapine or aripiprazole.

Patients with psychiatric illness had a body mass index (BMI) comparable to that of the general practice population (28.7 v. 29.7 kg/m2), but blood glucose was significantly lower in the general practice population (4.8 v. 6.1 mmol/L). Olanzapine was associated with the lowest BMI (26.1 kg/m2) and aripiprazole the highest (32.2 kg/m2), with no difference in blood glucose between antipsychotics.

Awareness of environmental factors and how they affect individuals is important and medications are not the only cause of metabolic effects. There may be a channelling bias present, meaning practitioners are cognisant of potential metabolic effects prior to prescribing. Overall monitoring of physical health is important regardless of potential cause.