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To determine the percentage of female adolescent patients (13-26 years old) who had HIV testing ordered within 90 days of incident sexually transmitted infection (STI) diagnosis during an outpatient clinic visit. This was a retrospective chart review study evaluating 830 visits among 589 female patients 13 to 26 years who had an incident STI diagnosed in outpatient Adolescent Medicine or Pediatric Practices in an urban, nonprofit, academic, free-standing children's hospital at the main campus and a community site in the Northeast United States. Odds of HIV screening was greater at the community-based adolescent medicine practice (odds ratio [OR] = 3.17; 95% confidence interval [CI]: [1.92, 5.24]) and when seen by an adolescent medicine provider (OR = 1.44; 95% CI: [1.02, 2.03]). Only 33.5% (n = 283) of 844 clinical encounters had HIV screening obtained within 90 days of incident STI diagnosis. Overall, HIV screening rates within 90 days of STI diagnosis was low, and there is much room for improvement., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background and Objectives: Social networks affect the health and well-being of older adults. Advancements in technology (e.g., digital devices and mHealth) enrich our ability to collect social networks and health data. The purpose of this scoping review was to identify and map the use of technology in measuring older adults' social networks for health and social care., Research Design and Methods: The Joanna Briggs Institute methodology was followed. PubMed (MEDLINE), Sociological Abstracts, SocINDEX, CINAHL, and Web of Science were searched for relevant articles. Conference abstracts and proceedings were searched via Conference Papers Index, the American Sociological Society, and The Gerontological Society of America. Studies published in English from January 2004 to March 2020 that aimed to improve health or social care for older adults and used technology to measure social networks were included. Data were extracted by 2 independent reviewers using an a priori extraction tool., Results: The majority of the 18 reviewed studies were pilot or simulation research conducted in Europe that focused on older adults living in the community. The various types of technologies used can be categorized as environment-based, person-based, and data-based., Discussion and Implications: Technology facilitates objective and longitudinal data collection on the social interactions and activities of older adults. The use of technology to measure older adults' social networks, however, is primarily in an exploratory phase. Multidisciplinary collaborations are needed to overcome operational, analytical, and implementation challenges. Future studies should leverage technologies for addressing social isolation and care for older adults, especially during the coronavirus disease 2019 pandemic., (© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objectives: This study aimed to evaluate the cost-effectiveness of the randomized clinical trial STEP-KOA (STepped Exercise Program for patients with Knee OsteoArthritis)., Methods: The trial included 230 intervention and 115 control participants from 2 Veterans Affairs (VA) medical centers. A decision tree simulated outcomes for cohorts of patients receiving arthritis education (control) or STEP-KOA (intervention), which consisted of an internet-based exercise training program (step 1), phone counseling (step 2), and physical therapy (step 3) according to patient's response. Intervention costs were assessed from the VA perspective. Quality of life (QOL) was measured using 5-level EQ-5D US utility weights. Incremental cost-effectiveness ratios (ICERs) were calculated as the difference in costs divided by the difference in quality-adjusted life-years (QALYs) between arms at 9 months. A Monte Carlo probabilistic sensitivity analysis was used to generate a cost-effectiveness acceptability curve., Results: The adjusted model found differential improvement in QOL utility weights of 0.042 (95% confidence interval 0.003-0.080; P=.03) for STEP-KOA versus control at 9 months. In the base case, STEP-KOA resulted in an incremental gain of 0.028 QALYs and an incremental cost of $279 per patient for an ICER of $10 076. One-way sensitivity analyses found the largest sources of variation in the ICER were the impact on QOL and the need for a VA-owned tablet. The probabilistic sensitivity analysis found a 98% probability of cost-effectiveness at $50 000 willingness-to-pay per QALY., Conclusions: STEP-KOA improves QOL and has a high probability of cost-effectiveness. Resources needed to implement the program will decline as ownership of mobile health devices increases., (Copyright © 2021 International Society for Pharmacoeconomics and Outcomes Research, Inc. Published by Elsevier Inc. All rights reserved.)

This paper describes a novel approach to the unobtrusive assessment of a subset of gait characteristics using a light detection and ranging (LIDAR) device. The developed device is poised to enable unobtrusive, nearly continuous monitoring and inference of patients' gait characteristics to assess physical and cognitive states. The device provides a rapidly sampled signal representing the distance of a participant's body from the LIDAR device. The densely sampled distance estimation is processed by custom algorithms that can potentially be used to estimate various gait characteristics such as step size, cadence, double support, and even step-size symmetry.Clinical Relevance- Since gait is a complex behavior that requires seamless cooperation of multiple systems, including sensation, perception, muscular synergies, and even cognition. Subtle changes in gait may, therefore, indicate issues with physical and mental functionality. In addition to the walking speed, the gait monitoring results can provide inferences about the physical and cognitive states of the unobtrusively monitored individuals using their own data as a baseline.

Introduction: The aim of this research was to evaluate the impact of a novel tele-rehabilitation system on self-reported functional outcomes compared to usual care during the first three months after stroke., Methods: A parallel, two-arm, evaluator-blinded, randomised controlled trial was conducted. Adults aged ≥40 years who had suffered a stroke within four weeks of the start of the study were recruited from the general community. The intervention group received access to a novel tele-rehabilitation system and programme for three months. The primary outcome measures utilised were the frequency and limitation total scores of the Late-Life Function and Disability Instrument (LLFDI) at three months., Results: A total of 124 individuals were recruited. The mean differences in the LLDFI frequency and limitation total scores at three months comparing the intervention and control groups were -3.30 (95% confidence interval (CI) -7.81 to 1.21) and -6.90 (95% CI -15.02 to 1.22), respectively. Adjusting for the respective baseline covariates and baseline Barthel Index also showed no significant difference between interventions in the LLFDI outcomes., Discussion: The intervention and control groups self-reported similar improvements in functional outcomes. Tele-rehabilitation may be a viable option to provide post-stroke rehabilitation services in Singapore while reducing barriers to continue rehabilitation conventionally after discharge from hospital and encouraging more participation.

Background: Evidence-based models are needed to deliver exercise-related services for knee osteoarthritis efficiently and according to patient needs ., Objective: To examine a stepped exercise program for patients with knee osteoarthritis (STEP-KOA)., Design: Randomized controlled trial. (ClinicalTrials.gov: NCT02653768)., Setting: 2 U.S. Department of Veterans Affairs sites., Participants: 345 patients (mean age, 60 years; 15% female; 67% people of color) with symptomatic knee osteoarthritis., Intervention: Participants were randomly assigned in a 2:1 ratio to STEP-KOA or an arthritis education (AE) control group, respectively. The STEP-KOA intervention began with 3 months of an internet-based exercise program (step 1). Participants who did not meet response criteria for improvement in pain and function after step 1 progressed to step 2, which involved 3 months of biweekly physical activity coaching calls. Participants who did not meet response criteria after step 2 went on to in-person physical therapy visits (step 3). The AE group received educational materials via mail every 2 weeks., Measurements: Primary outcome was Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score. Scores for the STEP-KOA and AE groups at 9 months were compared by using linear mixed models., Results: In the STEP-KOA group, 65% of participants (150 of 230) progressed to step 2 and 35% (81 of 230) to step 3. The estimated baseline WOMAC score for the full sample was 47.5 (95% CI, 45.7 to 49.2). At 9-month follow-up, the estimated mean WOMAC score was 6.8 points (CI, -10.5 to -3.2 points) lower in the STEP-KOA than the AE group, indicating greater improvement., Limitation: Participants were mostly male veterans, and follow-up was limited., Conclusion: Veterans in STEP-KOA reported modest improvements in knee osteoarthritis symptoms compared with the control group. The STEP-KOA strategy may be efficient for delivering exercise therapies for knee osteoarthritis., Primary Funding Source: Department of Veterans Affairs, Health Services Research and Development Service.

This manuscript describes tests and results of a study to evaluate classification algorithms derived from accelerometer data collected on healthy adults and older adults to better classify posture movements. Specifically, tests were conducted to 1) compare performance of 1 sensor vs. 2 sensors; 2) examine custom trained algorithms to classify for a given task 3) determine overall classifier accuracy for healthy adults under 55 and older adults (55 or older). Despite the current variety of commercially available platforms, sensors, and analysis software, many do not provide the data granularity needed to characterize all stages of movement. Additionally, some clinicians have expressed concerns regarding validity of analysis on specialized populations, such as hospitalized older adults. Accurate classification of movement data is important in a clinical setting as more hospital systems are using sensors to help with clinical decision making. We developed custom software and classification algorithms to identify laying, reclining, sitting, standing, and walking. Our algorithm accuracy is 93.2% for healthy adults under 55 and 95% for healthy older adults over 55 for the tasks in our setting. The high accuracy of this approach will aid future investigation into classifying movement in hospitalized older adults. Results from these tests also indicate that researchers and clinicians need to be aware of sensor body position in relation to where the algorithm used was trained. Additionally, results suggest more research is needed to determine if algorithms trained on one population can accurately be used to classify data from another population.

Background: Gait and mobility aid assessments are important components of rehabilitation. Given the increasing use of telehealth to meet rehabilitation needs, it is important to examine the feasibility of such assessments within the constraints of telerehabilitation., Objective: The objective of this study was to examine the reliability and validity of the Tinetti Performance-Oriented Mobility Assessment gait scale (POMA-G) and cane height assessment under various video and transmission settings to demonstrate the feasibility of teleassessment., Design: This repeated-measures study compared the test performances of in-person, slow motion (SM) review, and normal-speed (NS) video ratings at various fixed frame rates (8, 15, and 30 frames per second) and bandwidth (128, 384, and 768 kB/s) configurations., Methods: Overall bias, validity, and interrater reliability were assessed for in-person, SM video, and NS video ratings, with SM video rating as the gold standard, as well as for different frame rate and bandwidth configurations within NS videos., Results: There was moderate to good interrater reliability for the POMA-G (intraclass correlation coefficient [ICC] = 0.66-0.77 across all configurations) and moderate validity for in-person (β = 0.62; 95% confidence interval [CI] = 0.37-0.87) and NS video (β = 0.74; 95% CI = 0.67-0.80) ratings compared with the SM video rating. For cane height, interrater reliability was good (ICC = 0.66-0.77), although it was significantly lower at the lowest frame rate (8 frames per second) (ICC = 0.66; 95% CI = 0.54-0.76) and bandwidth (128 kB/s) (ICC = 0.69; 95% CI = 0.57-0.78) configurations. Validity for cane height was good for both in-person (β = 0.80; 95% CI = 0.62-0.98) and NS video (β = 0.86; 95% CI = 0.81-0.90) ratings compared with SM video rating., Limitations: Some lower frame rate and bandwidth configurations may limit the reliability of remote cane height assessments., Conclusions: Teleassessment for POMA-G and cane height using typically available internet and video quality is feasible, valid, and reliable., (Published by Oxford University Press on behalf of American Physical Therapy Association 2020.)

Background: Physical therapy (PT) and other exercise-based interventions are core components of care for knee osteoarthritis (OA), but both are underutilized, and some patients have limited access to PT services. This clinical trial is examining a STepped Exercise Program for patients with Knee OsteoArthritis (STEP-KOA). This model of care can help to tailor exercise-based interventions to patient needs and also conserve higher resource services (such as PT) for patients who do not make clinically relevant improvements after receiving less costly interventions., Methods / Design: Step-KOA is a randomized trial of 345 patients with symptomatic knee OA from two Department of Veterans Affairs sites. Participants are randomized to STEP-KOA and Arthritis Education (AE) Control groups with a 2:1 ratio, respectively. STEP-KOA begins with 3 months of access to an internet-based exercise program (Step 1). Participants not meeting response criteria for clinically meaningful improvement in pain and function after Step 1 progress to Step 2, which involves bi-weekly physical activity coaching calls for 3 months. Participants not meeting response criteria after Step 2 progress to in-person PT visits (Step 3). Outcomes will be assessed at baseline, 3, 6 and 9 months (primary outcome time point). The primary outcome is the Western Ontario and McMasters Universities Osteoarthritis Index (WOMAC), and secondary outcomes are objective measures of physical function. Linear mixed models will compare outcomes between the STEP-KOA and AE control groups at follow-up. We will also evaluate patient characteristics associated with treatment response and conduct a cost-effectiveness analysis of STEP-KOA., Discussion: STEP-KOA is a novel, efficient and patient-centered approach to delivering exercise-based interventions to patients with knee OA, one of the most prevalent and disabling health conditions. This trial will provide information on the effectiveness of STEP-KOA as a novel potential model of care for treatment of OA., Trial Registration: Clinicaltrials.gov, NCT02653768 (STepped Exercise Program for Knee OsteoArthritis (STEP-KOA)), Registered January 12, 2016.

Background There is limited research about the effects of video quality on the accuracy of assessments of physical function. Methods A repeated measures study design was used to assess reliability and validity of the finger-nose test (FNT) and the finger-tapping test (FTT) carried out with 50 veterans who had impairment in gross and/or fine motor coordination. Videos were scored by expert raters under eight differing conditions, including in-person, high definition video with slow motion review and standard speed videos with varying bit rates and frame rates. Results FTT inter-rater reliability was excellent with slow motion video (ICC 0.98-0.99) and good (ICC 0.59) under the normal speed conditions. Inter-rater reliability for FNT 'attempts' was excellent (ICC 0.97-0.99) for all viewing conditions; for FNT 'misses' it was good to excellent (ICC 0.89) with slow motion review but substantially worse (ICC 0.44) on the normal speed videos. FTT criterion validity (i.e. compared to slow motion review) was excellent (β = 0.94) for the in-person rater and good ( β = 0.77) on normal speed videos. Criterion validity for FNT 'attempts' was excellent under all conditions ( r ≥ 0.97) and for FNT 'misses' it was good to excellent under all conditions ( β = 0.61-0.81). Conclusions In general, the inter-rater reliability and validity of the FNT and FTT assessed via video technology is similar to standard clinical practices, but is enhanced with slow motion review and/or higher bit rate.

The objective of this study was to investigate the performance of 3 brain-computer interface (BCI) paradigms in an amyotrophic lateral sclerosis (ALS) population (n = 11). Using a repeated-measures design, participants completed 3 BCI conditions: row/column (RCW), checkerboard (CBW), and gray-to-color (CBC). Based on previous studies, it is hypothesized that the CBC and CBW conditions will result in higher accuracy, information transfer rate, waveform amplitude, and user preference over the RCW condition. An offline dynamic stopping simulation will also increase information transfer rate. Higher mean accuracy was observed in the CBC condition (89.7%), followed by the CBW (84.3%) condition, and lowest in the RCW condition (78.7%); however, these differences did not reach statistical significance ( P = .062). Eight of the eleven participants preferred the CBC and the remaining three preferred the CBW conditions. The offline dynamic stopping simulation significantly increased information transfer rate ( P = .005) and decreased accuracy ( P < .000). The findings of this study suggest that color stimuli provide a modest improvement in performance and that participants prefer color stimuli over monochromatic stimuli. Given these findings, BCI paradigms that use color stimuli should be considered for individuals who have ALS.

Over 50 million United States citizens (1 in 6 people in the US) have a developmental, acquired, or degenerative disability. The average US citizen can expect to live 20% of his or her life with a disability. Rehabilitation technologies play a major role in improving the quality of life for people with a disability, yet widespread and highly challenging needs remain. Within the US, a major effort aimed at the creation and evaluation of rehabilitation technology has been the Rehabilitation Engineering Research Centers (RERCs) sponsored by the National Institute on Disability, Independent Living, and Rehabilitation Research. As envisioned at their conception by a panel of the National Academy of Science in 1970, these centers were intended to take a "total approach to rehabilitation", combining medicine, engineering, and related science, to improve the quality of life of individuals with a disability. Here, we review the scope, achievements, and ongoing projects of an unbiased sample of 19 currently active or recently terminated RERCs. Specifically, for each center, we briefly explain the needs it targets, summarize key historical advances, identify emerging innovations, and consider future directions. Our assessment from this review is that the RERC program indeed involves a multidisciplinary approach, with 36 professional fields involved, although 70% of research and development staff are in engineering fields, 23% in clinical fields, and only 7% in basic science fields; significantly, 11% of the professional staff have a disability related to their research. We observe that the RERC program has substantially diversified the scope of its work since the 1970's, addressing more types of disabilities using more technologies, and, in particular, often now focusing on information technologies. RERC work also now often views users as integrated into an interdependent society through technologies that both people with and without disabilities co-use (such as the internet, wireless communication, and architecture). In addition, RERC research has evolved to view users as able at improving outcomes through learning, exercise, and plasticity (rather than being static), which can be optimally timed. We provide examples of rehabilitation technology innovation produced by the RERCs that illustrate this increasingly diversifying scope and evolving perspective. We conclude by discussing growth opportunities and possible future directions of the RERC program.

Objective: Various augmentative and alternative communication (AAC) devices have been developed in order to aid communication for individuals with communication disorders. Recently, there has been interest in combining EEG data and eye-gaze data with the goal of developing a hybrid (or 'fused') BCI (hBCI) AAC system. This work explores the effectiveness of a speller that fuses data from an eye-tracker and the P300 speller in order to create a hybrid P300 speller., Approach: This hybrid speller collects both eye-tracking and EEG data in parallel, and the user spells characters on the screen in the same way that they would if they were only using the P300 speller. Online and offline experiments were performed. The online experiments measured the performance of the speller for sixteen non-disabled participants, while the offline simulations were used to assess the robustness of the hybrid system., Main Results: Online results showed that for fifteen non-disabled participants, using eye-gaze in a Bayesian framework with EEG data from the P300 speller improved accuracy ([Formula: see text], [Formula: see text], [Formula: see text] for estimated, medium and high variance configurations) and reduced the average number of flashes required to spell a character compared to the standard P300 speller that relies solely on EEG data ([Formula: see text], [Formula: see text], [Formula: see text] for estimated, medium and high variance configurations). Offline simulations indicate that the system provides more robust performance than a standalone eye gaze system., Significance: The results of this work on non-disabled participants shows the potential efficacy of hybrid P300 and eye-tracker speller. Further validation on the amyotrophic lateral sceloris population is needed to assess the benefit of this hybrid system.

Objective: To compare Berg Balance Scale (BBS) rating using videos with differing transmission characteristics with direct in-person rating., Design: Repeated-measures study for the assessment of the BBS in 8 configurations: in person, high-definition video with slow motion review, standard-definition videos with varying bandwidths and frame rates (768 kilobytes per second [kbps] videos at 8, 15, and 30 frames per second [fps], 30 fps videos at 128, 384, and 768 kbps)., Setting: Medical center., Participants: Patients with limitations (N=45) in ≥1 of 3 specific aspects of motor function: fine motor coordination, gross motor coordination, and gait and balance., Interventions: Not applicable., Main Outcomes Measures: Ability to rate the BBS in person and using videos with differing bandwidths and frame rates in frontal and lateral views., Results: Compared with in-person rating (7%), 18% (P=.29) of high-definition videos and 37% (P=.03) of standard-definition videos could not be rated. Interrater reliability for the high-definition videos was .96 (95% confidence interval, .94-.97). Rating failure proportions increased from 20% in videos with the highest bandwidth to 60% (P<.001) in videos with the lowest bandwidth, with no significant differences in proportions across frame rate categories. Both frontal and lateral views were critical for successful rating using videos, with 60% to 70% (P<.001) of videos unable to be rated on a single view., Conclusions: Although there is some loss of information when using videos to rate the BBS compared to in-person ratings, it is feasible to reliably rate the BBS remotely in standard clinical spaces. However, optimal video rating requires frontal and lateral views for each assessment, high-definition video with high bandwidth, and the ability to carry out slow motion review., (Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Most acute stroke patients with disabilities do not receive recommended rehabilitation following discharge to the community. Functional and social barriers are common reasons for non-adherence to post-discharge rehabilitation. Home rehabilitation is an alternative to centre-based rehabilitation but is costlier. Tele-rehabilitation is a possible solution, allowing for remote supervision of rehabilitation and eliminating access barriers. The objective of the Singapore Tele-technology Aided Rehabilitation in Stroke (STARS) trial is to determine if a novel tele-rehabilitation intervention for the first three months after stroke admission improves functional recovery compared to usual care., Methods/design: This is a single blind (evaluator blinded), parallel, two-arm randomised controlled trial study design involving 100 recent stroke patients. The inclusion criteria are age ≥40 years, having caregiver support and recent stroke defined as stroke diagnosis within 4 weeks. Consenting participants will be randomized with varying block size of 4 or 6 assuming a 1:1 treatment allocation with the participating centre as the stratification factor. The baseline assessment will be done within 4 weeks of stroke onset, followed by follow-up assessments at 3 and 6 months. The tele-rehabilitation intervention lasts for 3 months and includes exercise 5-days-a-week using an iPad-based system that allows recording of daily exercise with video and sensor data and weekly video-conferencing with tele-therapists after data review. Those allocated to the control group will receive usual care. The primary outcome measure is improvement in life task's social activity participation at three months as measured by the disability component of the Jette Late Life Functional and Disability Instrument (LLFDI). Secondary outcome variables consist of gait speed (Timed 5-Meter Walk Test) and endurance (Two-Minute Walk test), performance of basic activities of daily living (Shah-modified Barthel Index), balance confidence (Activities-Specific Balance Confidence Scale), patient self-reported health-related quality-of-life [Euro-QOL (EQ-5D)], health service utilization (Singapore Stroke Study Health Service Utilization Form) and caregiver reported stress (Zarit Caregiver Burden Inventory)., Discussion: The goal of this trial is to provide evidence on the potential benefit and cost-effectiveness of this novel tele-rehabilitation programme which will guide health care decision-making and potentially improve performance of post-stroke community-based rehabilitation., Trial Registration: This trial protocol was registered under ClinicalTrials.gov on 18 July 2013 as study title "The Singapore Tele-technology Aided Rehabilitation in Stroke (STARS) Study" (ID: The STARS Study, ClinicalTrials.gov Identifier: NCT01905917 ).

Objective: To determine whether differences could be detected in mobility outcomes during community mobility and home mobility tasks according to type of mobility assistive device., Design: Randomized, repeated measures., Setting: Community mobility task: traversing 341.4m between the rehabilitation clinic and hospital entrance; home mobility task: traversing 39m into and out of a patient training bathroom and bedroom., Participants: Community-dwelling, cognitively intact ambulatory veterans (N=59) who used a mobility device within the 14 days prior to the study., Interventions: Participants tested 3 types of mobility assistive devices with wheels: 4-wheeled walker (WW), manual wheelchair (MWC), and powered wheelchair (PWC). The first and last devices used by each participant were randomly assigned as either MWC or WW. The PWC was always the second device., Main Outcomes Measures: Speed (m/s), collisions (total), fatigue (0-10 Likert scale), and pain (0-10 Likert scale, diagram)., Results: The community mobility task was performed with all 3 devices by 52 (88%) veterans, and the home mobility task was performed with all 3 devices by 53 (90%) participants. In each task, 28 participants used the WW and 28 participants used the MWC as the final device. In the community mobility task, statistically significant differences (P<.05) were seen with ≥1 device comparison for all studied outcomes (eg, standardized mean difference for the MWC compared with the PWC showed -.67 fewer collisions for the MWC). In the home mobility task, speed, collisions, and fatigue showed statistically significant (P<.05) device-related differences (eg, standardized mean difference for the WW compared with the MWC showed -.88 fewer collisions for the WW)., Conclusions: We found statistically significant and substantively different effects from 3 commonly used mobility assistive devices with wheels on diverse mobility outcomes when used in typical community mobility and home mobility tasks, providing proof of concept support for a research methodology applicable to comparative outcome studies of diverse mobility aids., (Copyright © 2015 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Telemedicine applications, based on two-dimensional (2D) video conferencing technology, have been around for the past 15 to 20 yr. They have been demonstrated to be acceptable for face-to-face consultations and useful for visual examination of wounds and abrasions. However, certain telerehabilitation assessments need the use of spatial information in order to accurately assess the patient's condition and sending three-dimensional video data over low-bandwidth networks is extremely challenging. This article proposes an innovative way of extracting the key spatial information from the patient's movement during telerehabilitation assessment based on 2D video and then presenting the extracted data by using graph plots alongside the video to help physicians in assessments with minimum burden on existing video data transfer. Some common rehabilitation scenarios are chosen for illustrations, and experiments are conducted based on skeletal tracking and color detection algorithms using the Microsoft Kinect sensor. Extracted data are analyzed in detail and their usability discussed.

Background: Partial unweighted treadmill training is a potentially effective modality for improving fitness and function in frail elders. We tested the feasibility of partial unweighted treadmill training in older, mobility-impaired veterans., Methods: Eight mobility-impaired elders participated in partial unweighted treadmill training three times/week for twelve weeks. Outcome measures included gait speed, performance-oriented mobility assessment (POMA), eight foot up and go, and the SF-36 physical functioning short form., Results: There was significant improvement in treadmill walking time (+8.5 minutes; P < 0.001), treadmill walking speed (+0.14 meters/second; P = 0.02), and percent of body weight support (-2.2%; P = 0.02). Changes in physical performance included usual gait speed (+0.12 meters/second; P = 0.001), rapid gait speed (+0.13 meters/second; P = 0.01), POMA (+2.4 summary score; P < 0.001), and eight foot up and go (-1.2 seconds; P = 0.05)., Conclusions: Partial unweighted treadmill training is feasible in mobility-impaired elders. Improvements in treadmill training capacity resulted in clinically meaningful improvements in fitness levels and improved mobility.

Objective: To determine whether conditions for use of clinical video telehealth technology might affect the accuracy of measures of physical function., Design: Repeated measures., Setting: Veterans Administration Medical Center., Participants: Three healthy adult volunteers for a sample size of n=30 independent trials for each of 3 physical function tasks., Interventions: None., Main Outcome Measures: Three tasks capturing differing aspects of physical function: fine-motor coordination (number of finger taps in 30s), gross-motor coordination (number of gait deviations in 10ft [3.05m]), and clinical spatial relations (identifying the proper height for a cane randomly preset ±0-2in [5.1cm] from optimal), with performance simultaneously assessed in person and video recorded. Interrater reliability and criterion validity were determined for the measurement of these 3 tasks scored according to 5 methods: (1) in person (community standard), (2) slow motion review of the video recording (criterion standard), and (3-5) full speed review at 3 Internet bandwidths (64kps, 384kps, and 768kps)., Results: Fine-motor coordination-Interrater reliability was variable (r=.43-.81) and criterion validity was poor at 64kps and 384kps, but both were acceptable at 768kps (reliability r=.74, validity β=.81). Gross-motor coordination-Interreliability was variable (range r=.53-.75) and criterion validity was poor at all bandwidths (β=.28-.47). Motionless spatial relations-Excellent reliability (r=.92-.97) and good criterion validity (β=.84-.89) at all the tested bandwidths., Conclusions: Internet bandwidth had differing effects on measurement validity and reliability for the fine-motor task, the gross-motor task, and spatial relations, with results for some tasks at some transmission speeds well below acceptable quality standards and community standards., (Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Objective: This study examined the accuracy of new wheelchair user predictions about their future wheelchair use., Design: This was a prospective cohort study of 84 community-dwelling veterans provided a new manual wheelchair., Results: The association between predicted and actual wheelchair use was strong at 3 mos (ϕ coefficient = 0.56), with 90% of those who anticipated using the wheelchair at 3 mos still using it (i.e., positive predictive value = 0.96) and 60% of those who anticipated not using it indeed no longer using the wheelchair (i.e., negative predictive value = 0.60, overall accuracy = 0.92). Predictive accuracy diminished over time, with overall accuracy declining from 0.92 at 3 mos to 0.66 at 6 mos. At all time points, and for all types of use, patients better predicted use as opposed to disuse, with correspondingly higher positive than negative predictive values. Accuracy of prediction of use in specific indoor and outdoor locations varied according to location., Conclusions: This study demonstrates the importance of better understanding the potential mismatch between the anticipated and actual patterns of wheelchair use. The findings suggest that users can be relied upon to accurately predict their basic wheelchair-related needs in the short-term. Further exploration is needed to identify characteristics that will aid users and their providers in more accurately predicting mobility needs for the long-term.

Transferring innovative technologies from the university to the manufacturing sector can often be an elusive and problematic process. The Rehabilitation and Engineering Research Center on Communication Enhancement (AAC-RERC) has worked with the manufacturing community for the last 10 years. The purpose of this article is to discuss barriers to technology transfer, to outline some technology transfer strategies, and to illustrate these strategies with AAC-RERC related activities.

The availability of new technologies has changed how we control devices, exchange information, and communicate with others. Significant barriers, however, have prevented many individuals who use augmentative and alternative communication (AAC) from accessing the technology and computer-based activities available in today's "Information Society." In this paper we discuss the benefits and challenges to increased interoperability between AAC and mainstream technologies. We outline suggested roles and activities for six stakeholder groups: (a) individuals who use AAC, (b) individuals who assist in selecting and supporting use of AAC devices, (c) AAC researchers, (d) AAC device manufacturers, (e) mainstream application developers and technology manufacturers, and (f) public policy makers. We also provide suggestions for future research, public policy, and technical development.

Historically, access in augmentative and alternative communication (AAC) has been conceptualized as the physical operation of AAC technologies; more recently, research and development in the cognitive and social sciences has helped to broaden the concept to include a range of human factors involved in the successful use of AAC technologies in social interactions. The goal of this article is to expand the current understanding of communication access by providing a conceptual framework for examining AAC access, evaluating recent scientific and technical advances in the areas of AAC, and discussing the challenges to accessing AAC technologies for a range of communication activities.