Browsing by Author "Lovell, Linda"

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    Applying the Knowledge-to-Action Framework to Implement Gait and Balance Assessments in Inpatient Stroke Rehabilitation
    (Elsevier, 2020-11) Moore, Jennifer L.; Virva, Roberta; Henderson, Chris; Lenca, Lauren; Butzer, John F.; Lovell, Linda; Roth, Elliot; Graham, Ian D.; Hornby, T. George; Physical Medicine and Rehabilitation, School of Medicine
    Objectives The overall objectives of this project were to implement and sustain use of a gait assessment battery (GAB) that included the Berg Balance Scale, 10-meter walk test, and 6-minute walk test during inpatient stroke rehabilitation. The study objective was to assess the effect of the study intervention on clinician adherence to the recommendations and its effect on clinician perceptions and the organization. Design Pre- and post-training intervention study. Setting Subacute inpatient rehabilitation facility. Participants Physical therapists (N=6) and physical therapist assistants (N=2). Intervention The intervention comprised a bundle of activities, including codeveloping and executing the plan with clinicians and leaders. The multicomponent implementation plan was based on the Knowledge-to-Action Framework and included implementation facilitation, implementation leadership, and a bundle of knowledge translation interventions that targeted barriers. Implementation was an iterative process in which results from one implementation phase informed planning of the next phase. Main Outcome Measures Clinician administration adherence, surveys of perceptions, and organizational outcomes. Results Initial adherence to the GAB was 46% and increased to more than 85% after 6 months. These adherence levels remained consistent 48 months after implementation. Clinician perceptions of measure use were initially high (>63%), with significant improvements in knowledge and use of one measure after implementation. Conclusions We successfully implemented the assessment battery with high levels of adherence to recommendations, likely because of using the bundle of knowledge translation activities, facilitation, and use of a framework to codevelop the plan. These changes in practice were sustainable, as determined by a 4-year follow-up.
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    Influence of skill and exercise training parameters on locomotor recovery during stroke rehabilitation
    (Wolters Kluwer, 2016-12) Hornby, T. George; Moore, Jennifer L.; Lovell, Linda; Roth, Elliot J.; Physical Medicine and Rehabilitation, School of Medicine
    Purpose of review: Research findings from the fields of motor learning and exercise physiology suggest specific training parameters that can be manipulated during physical rehabilitation profoundly influence skilled task performance. This review details the rationale for some of these training variables and their application in selected intervention studies focused on improving walking function in patients poststroke. Recent findings: Basic and applied studies have shown that the amount, intensity, and variability of specific task practice applied during rehabilitation interventions can affect recovery of walking poststroke. Many studies detailing the effects of conventional, therapist, and mechanically assisted interventions may incorporate some of these training parameters but minimize others, and their relative contributions may influence walking outcomes. Specific patient factors, such as the stroke acuity and degree of impairments, appear to influence the relative contributions of these training variables, and different patient subgroups may benefit from greater emphasis on specific parameters. Summary: The present findings suggest these training parameters should be considered when evaluating or implementing physical interventions directed toward improving locomotor function poststroke. More work is needed to understand their optimal combinations to maximize walking outcomes in patients with different levels of impairment poststroke.
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    Stepwise Regression and Latent Profile Analyses of Locomotor Outcomes Poststroke
    (American Heart Association, 2020-10) Hornby, T. George; Henderson, Christopher E.; Holleran, Carey L.; Lovell, Linda; Roth, Elliot J.; Jang, Jeong Hoon; Physical Medicine and Rehabilitation, School of Medicine
    Background and purpose: Previous data suggest patient demographics and clinical presentation are primary predictors of motor recovery poststroke, with minimal contributions of physical interventions. Other studies indicate consistent associations between the amount and intensity of stepping practice with locomotor outcomes. The goal of this study was to determine the relative contributions of these combined variables to locomotor outcomes poststroke across a range of patient demographics and baseline function. Methods: Data were pooled from 3 separate trials evaluating the efficacy of high-intensity training, low-intensity training, and conventional interventions. Demographics, clinical characteristics, and training activities from 144 participants >1-month poststroke were included in stepwise regression analyses to determine their relative contributions to locomotor outcomes. Subsequent latent profile analyses evaluated differences in classes of participants based on their responses to interventions. Results: Stepwise regressions indicate primary contributions of stepping activity on locomotor outcomes, with additional influences of age, duration poststroke, and baseline function. Latent profile analyses revealed 2 main classes of outcomes, with the largest gains in those who received high-intensity training and achieved the greatest amounts of stepping practice. Regression and latent profile analyses of only high-intensity training participants indicated age, baseline function, and training activities were primary determinants of locomotor gains. Participants with the smallest gains were older (≈60 years), presented with slower gait speeds (<0.40 m/s), and performed 600 to 1000 less steps/session. Conclusions: Regression and cluster analyses reveal primary contributions of training interventions on mobility outcomes in patients >1-month poststroke. Age, duration poststroke, and baseline impairments were secondary predictors.