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Introduction: Returning to driving is often a goal for people with acquired disabilities. Vehicle modifications make it possible for people with both acquired and lifelong disabilities to drive yet can be costly. There has been no financial evaluation of vehicle modifications in Australia or internationally. Methods: A social return on investment analysis of vehicle modifications was undertaken. Primary data were collected via qualitative interviews with consumers and other stakeholders (e.g. driver-trained occupational therapists, rehabilitation physicians, driving instructors, vehicle modifiers) (n = 23). Secondary data were collected from literature searches and used to identify suitable financial proxies and make estimations of the proportion of drivers with vehicle modifications experiencing each outcome. A co-investment model was adopted to estimate social return on investment and payback period for funder and consumer. Five scenarios were developed to illustrate social return for low-cost modifications (Scenario 1) through to high-cost modifications (Scenario 5). Results: Social return on investment ratios was positive for funder and consumer investment in all five scenarios. Social return on investment calculations based on co-investment ranged from $17.32 for every $1 invested (Scenario 1) to $2.78 for every $1 invested (Scenario 5). Consumers' payback periods were between 5.4 and 7.1 months, and funders between 3.5 weeks and 2 years 8.4 months. Conclusion: Vehicle modifications represent sound investments for both funders and consumers. Given the short payback periods, funders should reconsider age restrictions on vehicles considered suitable for modifications, especially for low- to medium-cost modifications. Refereed/Peer-reviewed

Importance: For a person with mild cognitive impairment (MCI) or early-stage dementia, driving is important for independence. However, driving presents safety concerns for both the person and family members. It is important to determine whether occupational therapy interventions can prolong safe driving for this population. Objective: To determine the effectiveness of occupational therapy interventions to improve driving performance in older people with MCI or early-stage dementia. Data Sources: We conducted a search of MEDLINE, PsycINFO, CINAHL, and gray literature using Google Scholar. Study Selection and Data Collection: Studies were included if they evaluated interventions that (1) aimed to improve the driving performance of older people (M age ≥60 yr) with MCI or early-stage dementia and (2) could be designed or delivered by an occupational therapy practitioner who specializes in driving. Citations were reviewed independently by two authors, and quality appraisal was conducted using the Cochrane risk-of-bias guidelines. Findings: One Level I randomized controlled trial (RCT) and 4 Level III quasi-experimental studies were included; these studies had 231 participants in total with reported M ages of 65.6–72.5 yr. One study evaluated a compensatory approach, whereas the others evaluated a remedial approach. The studies used different measures to assess outcomes and reported mixed effects. Conclusions and Relevance: Low strength of evidence suggests that occupational therapy interventions may improve the driving performance of older people with MCI or early-stage dementia. More RCTs are needed that include long-term follow-up measures and address clinically important outcomes. What This Article Adds: In the absence of conclusive evidence from research studies and best practice guidelines, occupational therapy practitioners must rely on their clinical experience and their clients’ abilities. Development of evidence and guidelines in this area is critical. It is also important for practitioners to work closely with clients, families, and interdisciplinary team members to carefully monitor fitness to drive.

Purpose: Driving is often a rehabilitation goal of people with acquired disability, and vehicle modifications are typically required to facilitate this outcome. Though there have been several survey studies on vehicle modifications for people with disability, there has been no qualitative work on understanding people with disabilities’ experiences of being a modified vehicle driver.Method: An interpretative phenomenological approach was used to understand the lived experiences of drivers with disability. Semi-structured interviews were conducted (n¼8) with drivers who used a variety of vehicle modifications from simple to highly complex. Using NVivo, Stage 1 of the coding involved case by case analysis and Stage 2 cross case analysis to identify themes that best captured drivers’ experiences. Results: Four core themes were identified: knowing vs. challenging limitations, making complex driving considerations, considering undesired alternative transportation options, and responding emotionally to temporary vehicle loss. The Person-Environment-Occupation model was used as an orientating framework to discuss findings.Conclusions: This explorative small scale study highlights that less than full utilisation of modified vehicles is not a result of driver choice, but rather a complex interface between drivers’ physical and psychological limitations, and physical environments that do not support the needs of drivers with disability. Refereed/Peer-reviewed

ObjectivesTo identify how social return on investment (SROI) analysis—traditionally used by business consultants—has been interpreted, used and innovated by academics in the health and social care sector and to assess the quality of peer-reviewed SROI studies in this sector.DesignSystematic review.SettingsCommunity and residential settings.ParticipantsA wide range of demographic groups and age groups.ResultsThe following databases were searched: Web of Science, Scopus, CINAHL, Econlit, Medline, PsychINFO, Embase, Emerald, Social Care Online and the National Institute for Health and Care Excellence. Limited uptake of SROI methodology by academics was found in the health and social care sector. From 868 papers screened, 8 studies met the criteria for inclusion in this systematic review. Study quality was found to be highly variable, ranging from 38% to 90% based on scores from a purpose-designed quality assessment tool. In general, relatively high consistency and clarity was observed in the reporting of the research question, reasons for using this methodology and justifying the need for the study. However, weaknesses were observed in other areas including justifying stakeholders, reporting sample sizes, undertaking sensitivity analysis and reporting unexpected or negative outcomes. Most papers cited links to additional materials to aid in reporting. There was little evidence that academics had innovated or advanced the methodology beyond that outlined in a much-cited SROI guide.ConclusionAcademics have thus far been slow to adopt SROI methodology in the evaluation of health and social care interventions, and there is little evidence of innovation and development of the methodology. The word count requirements of peer-reviewed journals may make it difficult for authors to be fully transparent about the details of their studies, potentially impacting the quality of reporting in those studies published in these journals.PROSPERO registration numberCRD42018080195.

IntroductionUnlike other forms of evaluation, social return on investment (SROI) methodology offers a way of placing values on personal, social and community outcomes, not just economic outcomes. Developed in 2000, there have been calls for greater academic involvement in development of SROI, which to date has been more typically implemented in-house or by consultants. This protocol describes a systematic review of SROI analysis conducted on health and social care programmes which represent a significant sector of social enterprise internationally. The aims of the systematic review are to (1) identify the extent to which academics have adopted SROI methodology, (2) how academics have interpreted, used and developed SROI methodology and (3) to assess the quality of studies published under peer review.Methods and analysisThe systematic review will include peer-reviewed studies since 2000 published in English. Search terms will be ‘social return on investment’ or ‘SROI’. Health and social care interventions will be identified in the initial screening given the proliferation of possible key words in these areas. Databases to be searched include Web of Science, Scopus, Medline, Social Care Online and National Institute for Health and Care Excellence. Two reviewers will independently conduct initial screening based on titles and abstracts against the inclusion criteria. Data extracted will include date of intervention, country, study design, aim of intervention/programme, participants and setting, health and social care measures used, and SROI ratio. The quality of studies will be assessed by two reviewers using a SROI quality framework designed for the purpose of this study.Ethics and disseminationThe systematic review will review existing published academic literature; as such, ethics approval is not required for this study. A paper of the systematic review will be submitted to a peer-reviewed journal.PROSPERO registration numberCRD42018080195.

Author version made available in accordance with the publisher's policy., Introduction: Understanding the differences in preferences of patients and occupational therapists for the way in which rehabilitation services are provided is important. In particular, it is unknown whether new approaches to rehabilitation such as high intensity therapy and virtual reality programs are more or less acceptable than traditional approaches. Methods: A discrete choice experiment was conducted to assess and compare the acceptability of these new approaches, relative to other characteristics of the rehabilitation program. The study included patients participating in a stroke or medical rehabilitation program (n=100), occupational therapists (n=23) and other clinicians (n=91) working in rehabilitation settings at three hospitals in South Australia. Data were analysed using a conditional (fixed-effects) logistic regression model. Results: The model coefficient attached to very high intensity therapy programs (defined as six hours per day) was negative and highly statistically significant for both patients and therapists indicating aversion for this option. In addition, other rehabilitation clinicians and patients were strongly averse to the use of virtual reality programs (as evidenced by the negative and highly statistically significant coefficient attached to this attribute for both groups) relative to occupational therapists. Conclusion: The comparison of the views of patients, occupational therapists and other rehabilitation clinicians revealed some differences. All participants (patients and clinicians) showed an inclination for programs that resulted in the best recovery. However, patients expressed stronger preferences than clinicians for traditional therapy approaches. As a group, occupational therapists were most likely to accept approaches such as virtual reality suggesting changes away from traditional delivery methods will be more readily integrated into practice.

BACKGROUND: Virtual reality and interactive video gaming have emerged as recent treatment approaches in stroke rehabilitation with commercial gaming consoles in particular, being rapidly adopted in clinical settings. This is an update of a Cochrane Review published first in 2011 and then again in 2015. OBJECTIVES: Primary objective: to determine the efficacy of virtual reality compared with an alternative intervention or no intervention on upper limb function and activity. Secondary objectives: to determine the efficacy of virtual reality compared with an alternative intervention or no intervention on: gait and balance, global motor function, cognitive function, activity limitation, participation restriction, quality of life, and adverse events. SEARCH METHODS: We searched the Cochrane Stroke Group Trials Register (April 2017), CENTRAL, MEDLINE, Embase, and seven additional databases. We also searched trials registries and reference lists. SELECTION CRITERIA: Randomised and quasi‐randomised trials of virtual reality ("an advanced form of human‐computer interface that allows the user to 'interact' with and become 'immersed' in a computer‐generated environment in a naturalistic fashion") in adults after stroke. The primary outcome of interest was upper limb function and activity. Secondary outcomes included gait and balance and global motor function. DATA COLLECTION AND ANALYSIS: Two review authors independently selected trials based on pre‐defined inclusion criteria, extracted data, and assessed risk of bias. A third review author moderated disagreements when required. The review authors contacted investigators to obtain missing information. MAIN RESULTS: We included 72 trials that involved 2470 participants. This review includes 35 new studies in addition to the studies included in the previous version of this review. Study sample sizes were generally small and interventions varied in terms of both the goals of treatment and the virtual reality devices used. The risk of bias present in many studies was unclear due to poor reporting. Thus, while there are a large number of randomised controlled trials, the evidence remains mostly low quality when rated using the GRADE system. Control groups usually received no intervention or therapy based on a standard‐care approach. Primary outcome: results were not statistically significant for upper limb function (standardised mean difference (SMD) 0.07, 95% confidence intervals (CI) ‐0.05 to 0.20, 22 studies, 1038 participants, low‐quality evidence) when comparing virtual reality to conventional therapy. However, when virtual reality was used in addition to usual care (providing a higher dose of therapy for those in the intervention group) there was a statistically significant difference between groups (SMD 0.49, 0.21 to 0.77, 10 studies, 210 participants, low‐quality evidence). Secondary outcomes: when compared to conventional therapy approaches there were no statistically significant effects for gait speed or balance. Results were statistically significant for the activities of daily living (ADL) outcome (SMD 0.25, 95% CI 0.06 to 0.43, 10 studies, 466 participants, moderate‐quality evidence); however, we were unable to pool results for cognitive function, participation restriction, or quality of life. Twenty‐three studies reported that they monitored for adverse events; across these studies there were few adverse events and those reported were relatively mild. AUTHORS' CONCLUSIONS: We found evidence that the use of virtual reality and interactive video gaming was not more beneficial than conventional therapy approaches in improving upper limb function. Virtual reality may be beneficial in improving upper limb function and activities of daily living function when used as an adjunct to usual care (to increase overall therapy time). There was insufficient evidence to reach conclusions about the effect of virtual reality and interactive video gaming on gait speed, balance, participation, or quality of life. This review found that time since onset of stroke, severity of impairment, and the type of device (commercial or customised) were not strong influencers of outcome. There was a trend suggesting that higher dose (more than 15 hours of total intervention) was preferable as were customised virtual reality programs; however, these findings were not statistically significant.

Few virtual reality programs have been designed to retrain performance of activities of daily living for people undergoing neurological rehabilitation. This is despite the advantages of using this type of approach, including task-specific practice of meaningful and relevant activities. This paper summarizes the development of a grocery shopping simulator which uses a novel approach to interaction between the user and the program. The shopping simulation program underwent usability testing with patients participating in neurological rehabilitation. The results indicated that patients found the program easy and enjoyable to use and felt it would be a useful part of a rehabilitation program. Refereed/Peer-reviewed

Author version made available in accordance with the Publisher's policy, Purpose: To assess the feasibility of a physiotherapy intervention using an interactive gaming program compared with conventional physiotherapy for hospitalised older people. Methods: Randomised controlled pilot study in a geriatric rehabilitation unit within an acute public hospital. Participants were randomly allocated to physiotherapy using an interactive gaming program (N=22) or conventional physiotherapy in a ward based gym (N=22). Feasibility was assessed by comparing the effects of the intervention on clinical outcome measures (primary outcome: mobility as assessed by the Timed Up and Go Test, secondary outcomes: safety, adherence levels, eligibility and consent rates). Results: Participants (N=44) had a mean age of 85 years (SD 4.5) and the majority (80%) were women. Univariable analyses showed no significant difference between groups following intervention. However, multivariable analyses suggested that participants using the interactive gaming program improved more on the Timed Up and Go Test (P=0.048) than participants receiving conventional physiotherapy. There were no serious adverse events and high levels of adherence to therapy were evident in both groups. Only a small proportion of patients screened were recruited to the study. Conclusions: In this feasibility study the use of a commercially available interactive gaming program by physiotherapists with older people in a hospital setting was safe and adherence levels were comparable with conventional therapy. Preliminary results suggest that further exploration of approaches using games as therapy for older people could include commonly used measures of balance and function.

Author version made available in accordance with the Publisher's policy., Purpose: To describe a modification of the Computer Self Efficacy Scale for use in clinical settings and to report on the modified scale’s reliability and construct validity. Methods: The Computer Self Efficacy Scale was modified to make it applicable for clinical settings (for use with older people or people with disabilities using everyday technologies). The modified scale was piloted, then tested with patients in an Australian inpatient rehabilitation setting (n=88) to determine the internal consistency using Cronbach’s alpha coefficient. Construct validity was assessed by correlation of the scale with age and technology use. Factor analysis using principal components analysis was undertaken to identify important constructs within the scale. Results: The modified Computer Self Efficacy scale demonstrated high internal consistency with a standardised alpha coefficient of 0.94. Two constructs within the scale were apparent; using the technology alone, and using the technology with the support of others. Scores on the scale were correlated with age and frequency of use of some technologies thereby supporting construct validity. Conclusions: The modified Computer Self Efficacy Scale has demonstrated reliability and construct validity for measuring the self efficacy of older people or people with disabilities when using everyday technologies. This tool has the potential to assist clinicians in identifying older patients who may be more open to using new technologies to maintain independence.

Background: Stroke rehabilitation is moving towards more intense therapy models that incorporate technologies such as robotics and computer games. It is unclear how acceptable these changes will be to stroke survivors, as little is known about which aspects of rehabilitation programmes are currently valued. Discrete choice experiments are a potential approach to assessing patient preferences, as they reveal the characteristics of programmes that are most important to consumers. Methods: A discrete choice experiment was presented as a face-to-face interview to assess the priorities and preferences of stroke survivors (n = 50, mean age 72 years) for alternative rehabilitation service configurations. The discrete choice experiment was presented to the participants while they were on the stroke rehabilitation ward (approximately 3–4 weeks following stroke). Results: Participants were highly focused on recovery and expressed strong preferences for therapy delivered one-to-one, but they did not favour very high intensity programmes (6 hours per day). While the attitudinal statements indicated high levels of agreement for programmes to incorporate the latest technology, the results from the discrete choice experiment indicated that participants were averse to computer-delivered therapy. Conclusion: Whilst rehabilitation therapy is highly valued, stroke survivors exhibited stronger preferences for low-intensity programmes and rest periods. High-intensity therapy protocols or approaches dependent on new technologies will require careful introduction to achieve uptake and acceptability. Refereed/Peer-reviewed

Background Interactive video games such as the Nintendo Wii Fit are increasingly used as a therapeutic tool in health and aged care settings however, their acceptability to older people is unclear. The aim of this study was to determine the acceptability of the Nintendo Wii Fit as a therapy tool for hospitalised older people using a discrete choice experiment (DCE) before and after exposure to the intervention. Methods A DCE was administered to 21 participants in an interview style format prior to, and following several sessions of using the Wii Fit in physiotherapy. The physiotherapist prescribed the Wii Fit activities, supervised and supported the patient during the therapy sessions. Attributes included in the DCE were: mode of therapy (traditional or using the Wii Fit), amount of therapy, cost of therapy program and percentage of recovery made. Data was analysed using conditional (fixed-effects) logistic regression. Results Prior to commencing the therapy program participants were most concerned about therapy time (avoiding programs that were too intensive), and the amount of recovery they would make. Following the therapy program, participants were more concerned with the mode of therapy and preferred traditional therapy programs over programs using the Wii Fit. Conclusions The usefulness of the Wii Fit as a therapy tool with hospitalised older people is limited not only by the small proportion of older people who are able to use it, but by older people's preferences for traditional approaches to therapy. Mainstream media portrayals of the popularity of the Wii Fit with older people may not reflect the true acceptability in the older hospitalised population.