Objective: To describe place of residence and examine factors associated with place of residence following severe traumatic brain injury (TBI) in working age adults.

Setting, participants, design: Retrospective cohort study (1 January 2007 to 31 December 2013) of adults (16–64 years) with severe TBI who survived to hospital discharge in Victoria, Australia.

Main measures: Place of residence (dichotomised as ‘private residence’ and ‘other destination’) at 6, 12 and 24 months post injury. A modified Poisson model was fitted with a random effect for the participant.

Results: There were 684 cases that were followed-up at one or more time points. At 24 months post injury, 87% (n = 537) adults with TBI were living at a private residence, of whom 66% did not require additional support. Cases were more likely to be living at a private residence at 24 months post injury compared to 6 months (adjusted relative risk = 1.08, 95% Confidence Interval, 1.04–1.11, p < .001). At 24 months post injury, 5% (n = 29) remained in rehabilitation and 4% (n = 23) lived in a nursing home.

Conclusion: While the majority of cases were living at a private residence at 2 years post injury, 13% were residing in rehabilitation, a nursing home or other supported living. Longer follow-up is needed to understand if a transition to a private residence is possible for these groups.

We are pleased to bring you this special issue of Brain Impairment on quantitative data analysis, an area of increasing complexity and sophistication. In planning the special issue, our intention was to bring together a set of articles covering diverse and topical areas in the field, with the idea of having the volume serve as a ‘go-to’ resource. The special issue is aimed at researchers, clinicians engaged in research, and advanced students all of whom may have passing familiarity with a particular data analytic technique, but wish to know more about it and how to apply it. Accordingly, our aim is to equip the reader with concrete, hands-on information that can be applied in the day-to-day world of research. The authors of the articles comprising the special issue, each of whom is an expert in his/her field, were charged with the task of writing a practical guide and providing worked examples to illustrate the application of their selected technique/s. The papers in the special issue cover three domains: the single-case method, between-groups design, and psychometric aspects of instrument development.

Objective: To identify the systems available to sub-classify mild traumatic brain injury (TBI) and to determine their utility in predicting 1-year outcome.

Methods: A systematic review to identify mild-TBI sub-classification systems was conducted until March 2016. The identified systems were applied to a cohort of N = 290 adults who had experienced a mild-TBI, and who had been assessed for post-concussion symptoms 1-year post injury. ANOVAs and regression models were used to determine whether each sub-classification system could distinguish between outcomes and to explore their contribution to explaining variance in post-concussion symptoms 1-year post injury.

Results: Nineteen sub-classification systems for mild-TBI met the inclusion criteria for this review. The Saal (1991) classification system significantly differentiated the experience of post-concussion symptoms in our cohort 1-year post injury (F = 2.39, p = 0.05). However, the findings did not remain significant following correction for multiple comparisons and inclusion of socio-demographic and contextual factors in the regression model.

Conclusions: Current sub-classification systems fail to explain much of the variance in post-concussion symptoms 1 year following mild-TBI. Further research is needed to identify the factors (including socio-demographic and contextual factors) to determine, who may be at risk of developing persistent post-concussion symptoms.

This experimental study with a controlled pre-test and post-test group design investigated the possible effects of four sessions of heading training on cognitive performance. A total of 118 participants (mean age of 22.25 years) were assigned to one of the three following groups: a heading-training group, a passing-training group and a waiting control group. The participants completed a cognitive test battery of attention (D2-test), working memory (Paced Auditory Serial Addition Task, PASAT-2) and visual spatial intelligence (Mental Rotation Test) tests before, immediately after the second training session and one week after the fourth training session. There were no between-group differences in cognitive performance after the second or the fourth heading training sessions. However, within the heading-training group, women complained more of headaches than men after the fourth training session. These results build on the results from the study of Rieder and Jansen (2011) that showed no neuropsychological consequences after one heading session, showing no cumulative effects of repeat heading.

Purpose: Clients with an acquired brain injury (ABI) are at risk of mental health problems and it has been argued that transitions throughout the rehabilitation process are a challenge for rehabilitation practice; however, the link between transitions and psychosocial outcome has been under-researched. Therefore, this study aims to (1) investigate the status of clients with moderate or severe ABI two-year post-discharge on the following outcomes variables: Physical and cognitive function, depression, quality of life, civil and work status, (2) examine correlations between these outcomes and (3) explore through qualitative interviews the subjective experiences of individuals with ABI in order to increase our understanding of clients’ perspectives on this outcome and its relation to life transitions in a two-year period.

Method: 37 individuals aged 18–66 with moderate or severe ABI were interviewed two years after discharge. At this time, they also completed standard measures of depression (MDI), quality of life (WHOQOL-bref) and functional independence (FIM™). Historical data of their FIM™ status at discharge were obtained for comparison.

Results: We found psychological problems two years post-hospitalization, especially depression (35.1%) and decreased psychological QOL (61%). Analysis of interviews found six main factors perceived as important for psychosocial outcome: family relations, return to work, waiting lists, psychological support, fatigue and personal competences.

Conclusions: Clients’ status two years post-hospitalization is often characterized by psychological problems. Based on clients’ accounts, we found a connection between psychosocial outcome and life transition experiences and developed a model of factors that are perceived as helping and hindering positive outcome.

Single case designs (SCDs) allow researchers to objectively evaluate the impact of an intervention by repeatedly measuring a dependent variable across baseline and intervention conditions. Rooted in baseline logic, SCDs evaluate change over time, with each participant serving as his or her own control during the course of a study. Formative and summative evaluation of data is critical to determining causal relations. Visual analysis involves evaluation of level, trend, variability, consistency, overlap, and immediacy of effects within (baseline and intervention) and between conditions (baseline to intervention). The purpose of this paper is to highlight the process for visually analysing data collected in the context of a SCD and to provide structures and procedures for evaluating the six data characteristics of interest. A checklist with dichotomous responses (i.e., yes/no) is presented to facilitate implementation and reporting of systematic visual analysis.

Introduction: To investigate the effects of paroxetine (PAR) on motor and cognitive function recovery in patients with non-depressed ischemic stroke (nD-AIS).

Methods: One hundred sixty-seven patients hospitalized for non-depressed acute ischemic stroke were selected and divided into treatment (T) and control (C) groups using a random number table. All patients received conventional secondary ischemic stroke prevention and rehabilitation training; patients in Group T additionally received treatment with PAR (10 mg/day during week 1 and 20 mg/day thereafter) for 3 months. The follow-up observation lasted 6 months. The Fugl–Meyer motor scale (FMMS), Montreal cognitive assessment (MoCA), and Hamilton depression scale (HAMD) were used on D0, D15, D90, and D180 (T0, 1, 2, and 3, respectively; D180 = 90 days after treatment cessation) after study initiation, and scores were compared between the groups.

Results: The FMMS and MoCA scores differed significantly between Groups T and C at T2 and T3 (p < .05); by contrast, these scores did not differ significantly between the groups at T1 (p > .05). Furthermore, the HAMD scores differed significantly between the two groups at T3 (p < .05), but not at T1 and T2 (p > .05).

Conclusions: PAR treatment may improve motor and cognitive function recovery in patients with nD-AIS. Moreover, PAR may reduce the occurrence of depression after stroke.

Objective: To develop a tool for assessing intentions to continue or change activities for recovery following mild traumatic brain injury (mTBI) and determine if they are dependent on injury context or activity type. Method: Adult volunteers with no (or no recent) history of mTBI were randomly allocated to one of two vignette conditions, each with a different injury context. The vignette described an mTBI due to a motor vehicle accident (MVA, n = 76) or sport (SPORT, n = 89). Volunteers reported their rest or activity plans for 39 behaviours comprising three behaviour types (cognitive, physical, and restful). Results: Compared to a cut-score representing no change, on average there was a significant (p <= .001) planned decrease in physical and cognitive behaviours (MVAphysicalt(53) = 7.373; SPORTphysicalt(41) = 9.281; MVAcognitivet(41) = 9.367; SPORTcognitivet(51) = −3.521) and a significant planned increase in restful behaviours, such as sleep (MVArestfult(72) = 10.006; SPORTrestfult(86) = 9.566). An overall within-group effect for behaviour-type was not identified and there was no effect of condition (MVA vs. SPORT). Conclusion: The acute rest and activity plans for a simulated mTBI are behaviour specific and not dependent on context. An expectation for blanket-rest was not was observed but rest was planned for specific behaviours. This tool could be used to guide discussions with mTBI patients about their recovery so that their plans align with advice, and it could aid further research into the relation between intended and actual rest and activity and the effect on eventual outcomes.

Single-case experimental designs meeting evidence standards are useful for identifying empirically-supported practices. Part of the research process entails data analysis, which can be performed both visually and numerically. In the current text, we discuss several statistical techniques focusing on the descriptive quantifications that they provide on aspects such as overlap, difference in level and in slope. In both cases, the numerical results are interpreted in light of the characteristics of the data as identified via visual inspection. Two previously published data sets from patients with traumatic brain injury are re-analysed, illustrating several analytical options and the data patterns for which each of these analytical techniques is especially useful, considering their assumptions and limitations. In order to make the current review maximally informative for applied researchers, we point to free user-friendly web applications of the analytical techniques. Moreover, we offer up-to-date references to the potentially useful analytical techniques not illustrated in the article. Finally, we point to some analytical challenges and offer tentative recommendations about how to deal with them.

Objective: Adults are at risk for unemployment following a moderate-severe traumatic brain injury (TBI). Less is known about employment patterns following mild TBI. This study aims to examine patterns of return to pre-injury job in adults following mild TBI over a 12-month post injury period, and to investigate factors associated with return to work. Methods: It is a prospective longitudinal study of 205 adults (aged ≥16 years at injury) identified as part of a larger population-based incidence study in the Waikato, New Zealand. In-person assessments were completed at baseline (within 14 days) and 1-, 6-, and 12-month post-injury. Results: A total of 159 (77.6%) adults returned to their pre-injury job at baseline and 185 (90.2%) returned within 12 months. Of those who did not return to their pre-injury job at baseline (n = 46), younger age at injury (≤30 years, p = .02) and poor overall neurocognitive functioning at 1-month (p = .02) was associated with non-return to pre-injury job at 12 months. Conclusion: In a sample of employed adults, the majority returned to their pre-injury job shortly after injury. Cognitive functioning and younger age at time of injury may be associated with delayed return to work. Interventions to support younger workers may facilitate their return to work.

This paper presents a unilevel and multilevel approach for the analysis and meta-analysis of single-case experiments (SCEs). We propose a definition of SCEs and derive the specific features of SCEs’ data that have to be taken into account when analysing and meta-analysing SCEs. We discuss multilevel models of increasing complexity and propose alternative and complementary techniques based on probability combining and randomisation test wrapping. The proposed techniques are demonstrated with real-life data and corresponding R code.

Purpose: Older adults have an increased likelihood of requiring rehabilitative care due to cognitive and physical risk factors. Research has found a link between executive functioning performance and functional outcomes; however, there is a dearth of research on the assessment of judgement ability. In the current pilot study, we investigated the clinical utility of the Test of Practical Judgment (TOP-J) in an older adult rehabilitation sample.

Methods: Inpatients of mixed diagnoses (n = 25, mean age = 72.60) completed the TOP-J and Functional Independence Measure (FIM). We assessed TOP-J performance in the entire sample and in those with intact vs. impaired global cognition (on the Mini-Mental State Examination; MMSE). Correlational analyses were conducted between the TOP-J, MMSE and relevant FIM items.

Results: TOP-J performance fell between the means typically observed in individuals with mild cognitive impairment and mild Alzheimer's disease. Participants with intact global cognition obtained significantly higher TOP-J scores than those with impaired global cognition. Moderate to strong positive correlations emerged between TOP-J, MMSE and FIM items of problem solving, comprehension and memory.

Conclusions: Results provide support for the clinical utility and validity of the TOP-J among older adults in the rehabilitation setting. Administering the TOP-J may help identify patients at risk for future injury and facilitate role transitions.

This paper presents ‘Tips’ for researchers of brain impairment who are interested in conducting randomised controlled trials. The paper is intended for researchers who are planning to undertake their first trial, but may also be of interest to more experienced trialists or clinicians who want to further their understandings of clinical trials. The Tips include suggestions for how to design, conduct, analyse and report clinical trials.

Background and aims: Many sustaining traumatic brain injury (TBI) suffer ongoing post-concussion symptoms (PCS). The Rivermead Post-Concussion Symptoms Questionnaire (RPQ) is widely used, although there is disagreement about its structure. This study compared the fit of published RPQ structures with a four-factor structure derived from a large adult sample with TBI in Tasmania.

Method: 661 adults with TBI completed the RPQ at approximately one month post injury. Exploratory factor analysis (EFA), using the first half of the sample (n = 330), suggested a four-factor solution. This was compared with models reported in the literature with the second half of the sample (n = 331), using structural equation modelling. Trajectory of recovery across these factors was examined within subsamples at 1, 3, 6 and 12 months following TBI.

Results: Inter-correlations between items were strongest for somatic, cognitive and emotional functioning items and the EFA identified a four-factor model. Fit was examined utilising bootstrapping for model comparison. The data at 1 month following TBI best fitted the four-factor model (CFI = .95, RMSEA = .060 (.049–.071) and factors had adequate internal consistency (r = .61–.89). This model appeared a good fit and clinically useful across time points to 12 months post injury.

Conclusions: Data best fitted a four-factor model, identified using a rigorous statistical approach. Clinicians and clinical researchers may use this preferred model to provide more specific measurement of the severity of PCS. Future research could attempt replication within international samples.

Background: Traumatic brain injury (TBI) is a leading cause of disability in Australia. Evidence shows that multidisciplinary rehabilitation and support in the six months following TBI is important for successful independent living and social re-integration. Despite this, access to services and supports during this period is often limited by environmental, socio-economic, geographic and cultural factors. Australian studies on outcomes after brain injury have reported primarily on non-Indigenous people. This study will investigate key sentinel events during the transition from hospital to home after a TBI in the first longitudinal study with Indigenous Australians.

Method: Indigenous Australians admitted to one of three major trauma hospitals in northern Australia with a TBI, and their care givers, will be recruited. Clinical and brain injury risk factor information, along with measures of cognitive function, transition events, mental health and community re-integration will be collected at three time points prior to hospital discharge, and at three and six months post-discharge. Qualitative interviews will also be conducted. Data will be analysed using regression methods for the quantitative component, and situational analysis for the qualitative component. Annual rates of brain injury will be calculated for patients admitted to tertiary hospital facilities in the study region with a diagnosis of TBI.

Discussion: Understanding the experience and events which shape the transition period is critical to determining the services and supports that may enhance transition outcomes, and ensure that such services are culturally appropriate and endorsed by Indigenous families and communities.

A stroke can have implications for all areas of a person's life. In research on adaptation to stroke, finding meaning is associated with better adaptation. This study focuses on one of the driving principles behind meaning-making processes: global meaning. The aim of this study was to explore whether global meaning (i.e., fundamental beliefs and life goals concerning core values, relationships, worldview, identity and inner posture) is associated with processes and outcomes of rehabilitation, as experienced by people with stroke. In-depth, semi-structured interviews were conducted, and analysed using qualitative research methods. Aspects of global meaning were associated with the following elements of process and outcome of rehabilitation: motivation, handling stress and emotions, physical functioning and acceptance. The influence was mostly positive. If rehabilitation professionals took global meaning into account, respondents tended to associate this with better or faster recovery.

Working in neurological rehabilitation brings with it numerous opportunities to gain an understanding of the factors that contribute to shaping meaningful living and wellbeing for those tackling the major life changes encountered following acquired brain injury (ABI). These opportunities come in many forms: challenging and brave clients, wise and worrying families, questioning and inspiring colleagues, empowering and limiting work environments and rigid and advancing policy and legislative contexts.

Our personal and collective understanding of the things that help and the things that get in the way of effective rehabilitation continuously emerges from the convergence of the experience and knowledge afforded by these opportunities. The aim of this paper is to consider the things that help and the things that get in the way as they have been identified by people with ABI, their families and those who work with them and have been further evidenced through research targeted towards improving short, medium and long-term outcomes for those living with the consequences of ABI. These things as discussed in this paper capture the essential role of the self, the importance of rights and access to rehabilitation, the impact of the family and the contribution of social connection.

There has been controversy over Null Hypothesis Significance Testing (NHST) since the first quarter of the 20th century and misconceptions about it still abound. The first section of this paper briefly discusses some of the problems and limitations of NHST. Overwhelmingly, the ‘holy grail’ of researchers has been to obtain significant p-values. In 1999 the American Psychological Association (APA) recommended that if NHST was used in data analysis, then researchers should report effect sizes (ESs) and their confident intervals (CIs) as well as p-values. The APA recommendations are summarised in the next section of the paper. But as neuropsychological rehabilitation clinicians, the primary interest is (or should be) to determine whether or not the effect of an intervention is clinically important, not just statistically significant. In this context, ESs and their CIs provide information relevant to clinicians. The next section of the paper reviews common ESs and worked out examples are provided for the calculation of three commonly used ES (Cohen's d, Hedge's g and Glass’ delta). Web-based resources for calculating other ESs and their CIs are also reviewed.

Systematic reviews have developed over the past 40 years as a method for integrating findings from the available studies relating to clinical problems and interventions into one publication. Systematic reviews employ a variety of data analytic techniques including meta-analysis, which combines treatment effects across disparate studies in order to produce a truer estimate of treatment effect. The Cochrane Collaboration was established in order to facilitate access to high-quality evidence and specifies stringent guidelines for the production of systematic reviews. A Cochrane Systematic Review (CSR) includes consideration of the risk-of-bias of the selected studies in reaching conclusions. A recent CSR is used as an example to demonstrate the process of conducting a CSR, the data analytic methods employed and the assumptions made when employing these methods. There is a discussion of issues the reader will need to be aware of when considering the findings of a CSR and how this might differ from other systematic reviews including some consideration of how CSRs apply to the brain impairment literature.

Objective: To examine whether elbow coordination training can improve elbow coordination in cerebral palsy and whether any benefit carries over to upper limb activity.

Methods: A case series A–B–C multiple baseline study was carried out. Two weeks of no intervention (A) was followed by 2 weeks of computerised tracking (B), which was followed by 2 weeks of no intervention (C). Six children (age range 7–12 years) with hemiplegic cerebral palsy (Level I–III of the Manual Ability Classification System) participated. Coordination training consisted of 10 × 1-min trials of computerised tracking each session for 10 sessions over a 2-week period. Coordination was measured as tracking performance using a different target from the training target. Upper limb activity was measured using the 9-Hole Peg Test. Data were analysed using the 2-SD band method.

Results: None of the participants appeared to improve tracking performance or 9-Hole Peg Test (9HPT) scores (p > 0.05) after the 2 weeks of intervention. On withdrawal of the intervention, visual analysis showed that tracking performance and 9HPT scores remained at the same level as the intervention phase.

Conclusions: Ten minutes of computerised elbow tracking daily for 10 sessions did not improve coordination in six children with cerebral palsy.