Abstract-Stroke is a leading cause of functional impairments. The ability to quantify the functional ability of poststroke patients engaged in a rehabilitation program may assist in prediction of their functional outcome. The Functional Independence Measure (FIM) is widely used and accepted as a functional-level assessment tool that evaluates the functional status of patients throughout the rehabilitation process. From February to March 2009, we searched MEDLINE, Ovid, CINAHL, and EBSCO for full-text articles written in English. Article inclusion criteria consisted of civilian and veteran patients posthemorrhagic and ischemic stroke with an average age of 50 years or older who participated in an inpatient rehabilitation program. Articles rated 5 or higher on the PEDro (Physiotherapy Evidence Database) scale were analyzed, including one cluster randomized trial and five cohort studies. Descriptive and psychometric data were outlined for each study. Key findings, clinical usefulness of the FIM, potential biases, and suggestions for further research were summarized. Although limited, evidence exists that FIM scores can be used as an accurate predictor of outcomes in poststroke patients.

These findings show that repeated mTBI, partially mediated by pain, may lead to later balance disturbances among military combatants. Further study of CDP outcomes within this accruing cohort is warranted.

Background When a new guideline is published  there is a need to understand how its recommendations can best be implemented in real-world practice. Yet, guidelines are often published with little to no roadmap for organizations to follow to promote adherence to their recommendations. The purpose of this study was to evaluate the impact of using a common process model to implement a single clinical practice guideline across multiple physical therapy clinical settings. Methods Five organizationally distinct sites with physical therapy services for patients with peripheral vestibular hypofunction participated. The Knowledge to Action model served as the foundation for implementation of a newly published guideline. Site leaders conducted preliminary gap surveys and face-to-face meetings to guide physical therapist stakeholders’ identification of target-behaviors for improved guideline adherence. A 6-month multimodal implementation intervention included local opinion leaders, audit and feedback, fatigue-resistant reminders, and communities of practice. Therapist adherence to target-behaviors for the 6 months before and after the intervention was the primary outcome for behavior change. Results Therapist participants at all sites indicated readiness for change and commitment to the project. Four sites with more experienced therapists selected similar target behaviors while the fifth, with more inexperienced therapists, identified different goals. Adherence to target behaviors was mixed. Among four sites with similar target behaviors, three had multiple areas of statistically significantly improved adherence and one site had limited improvement. Success was most common with behaviors related to documentation and offering patients low technology resources to support home exercise. A fifth site showed a trend toward improved therapist self-efficacy and therapist behavior change in one provider location. Conclusions The Knowledge to Action model provided a common process model for sites with diverse structures and needs to implement a guideline in practice. Multimodal, active interventions, with a focus on auditing adherence to therapist-selected target behaviors, feedback in collaborative monthly meetings, fatigue-resistant reminders, and developing communities of practice was associated with long-term improvement in adherence. Local rather than external opinion leaders, therapist availability for community building meetings, and rate of provider turnover likely impacted success in this model. Trial registration This study does not report the results of a health care intervention on human participants.

Background and Objectives:Recent team-based models of care use symptom subtypes to guide treatments for individuals with chronic effects of mild traumatic brain injury (mTBI). However, these subtypes, or phenotypes, may be too broad, particularly for balance (e.g., ‘vestibular subtype’). To gain insight into mTBI-related imbalance we 1) explored whether a dominant sensory phenotype (e.g., vestibular impaired) exists in the chronic mTBI population, 2) determined the clinical characteristics, symptomatic clusters, functional measures, and injury mechanisms that associate with sensory phenotypes for balance control in this population, and 3) compared the presentations of sensory phenotypes between individuals with and without previous mTBI.Methods:A secondary analysis was conducted on the Long-Term Impact of Military-Relevant Brain Injury Consortium - Chronic Effects of Neurotrauma Consortium. Sensory ratios were calculated from the Sensory Organization Test, and individuals were categorized into one of eight possible sensory phenotypes. Demographic, clinical, and injury characteristics were compared across phenotypes. Symptoms, cognition, and physical function were compared across phenotypes, groups, and their interaction.Results:Data from 758 Service Members and Veterans with mTBI and 172 with no lifetime history of mTBI were included. Abnormal visual, vestibular, and proprioception ratios were observed in 29%, 36%, and 38% of people with mTBI, respectively, with 32% exhibiting more than one abnormal sensory ratio. Within the mTBI group, global outcomes (p<0.001), self-reported symptom severity (p<0.027), and nearly all physical and cognitive functioning tests (p<0.027) differed across sensory phenotypes. Individuals with mTBI generally reported worse symptoms than their non-mTBI counterparts within the same phenotype (p=0.026), but participants with mTBI in the Vestibular-Deficient phenotype reported lower symptom burdens than their non-mTBI counterparts [e.g., mean(SD) Dizziness Handicap Inventory = 4.9(8.1) for mTBI vs. 12.8(12.4) for non-mTBI, group*phenotype interaction p<0.001]. Physical and cognitive functioning did not differ between groups after accounting for phenotype.Discussion:Individuals with mTBI exhibit a variety of chronic balance deficits involving heterogeneous sensory integration problems. While imbalance when relying on vestibular information is common, it is inaccurate to label all mTBI-related balance dysfunction under the ‘vestibular’ umbrella. Future work should consider specific classification of balance deficits, including specific sensory phenotypes for balance control.