Implementation of wearable sensing technology for movement: Pushing forward into the routine physical rehabilitation care field

While the promise of wearable sensor technology to transform physical rehabilitation has been around for a number of years, the reality is that wearable sensor technology for the measurement of human movement has remained largely confined to rehabilitation research labs with limited ventures into clinical practice. The purposes of this paper are to: (1) discuss the major barriers in clinical practice and available wearable sensing technology; (2) propose benchmarks for wearable device systems that would make it feasible to implement them in clinical practice across the world and (3) evaluate a current wearable device system against the benchmarks as an example. If we can overcome the barriers and achieve the benchmarks collectively, the field of rehabilitation will move forward towards better movement interventions that produce improved function not just in the clinic or lab, but out in peoples\u27 homes and communities

A case-control study of the effectiveness of tissue plasminogen activator on 6 month patients -- reported outcomes and health care utilization

none5siWe examined the benefit of tissue plasminogen activator (tPA), delivered as part of usual stroke management, on patient-reported outcomes and health care utilization. Using a case control design, patients who received tPA as part of usual stroke management were compared with patients who would have received tPA had they arrived to the hospital within the therapeutic time window. Data were collected from surveys 6 months after stroke using standardized patient-reported outcome measures and questions about health care utilization. Demographic and medical data were acquired from hospital records. Patients were matched on stroke severity, age, race, and gender. Matching was done with 1:2 ratio of tPA to controls. Results were compared between groups with 1-tailed tests because of a directionally specific hypothesis in favor of the tPA group. The tPA (n = 78) and control (n = 156) groups were matched across variables, except for stroke severity, which was better in the control group; subsequent analyses controlled for this mismatch. The tPA group reported better physical function, communication, cognitive ability, depressive symptomatology, and quality of life/participation compared with the control group. Fewer people in the tPA group reported skilled nursing facility stays, emergency department visits, and rehospitalizations after their stroke compared with controls. Reports of other postacute services were not different between groups. Although it is known that tPA reduces disability, this is the first study to demonstrate the effectiveness of tPA in improving meaningful, patientreported outcomes. Thus, use of tPA provides a large benefit to the daily lives of people with ischemic stroke.mixedLang, Catherine E.; Bland, Marghuretta D.; Cheng, Nuo; Corbetta, Maurizio; Lee, Jin-MooLang, Catherine E.; Bland, Marghuretta D.; Cheng, Nuo; Corbetta, Maurizio; Lee, Jin Mo

Predictors of return to driving after stroke

OBJECTIVE: While returning to driving is a major concern for many stroke survivors, predicting who will return to driving after a stroke is often difficult for rehabilitation professionals. The primary aim of this study was to identify patient factors present at admission to an inpatient rehabilitation hospital that can be used to identify which patients with acute stroke will and will not return to driving. DESIGN: After comparing returners and non-returners on demographic and clinical characteristics, a logistic regression model with return to driving as the outcome variable was built using the backward stepwise method. RESULTS: Thirty-one percent (48/156) of patients who had been driving before their stroke had returned to driving six months post-stroke. The final regression model, using FIM cognition and lower extremity Motricity Index scores, predicted the driving outcome with an accuracy of 75% (107/143). CONCLUSIONS: Patients with lower FIM cognition and lower extremity Motricity Index scores at admission to inpatient rehabilitation are less likely to return to driving at six months. This model could be used by rehabilitation professionals to help counsel patients and their families and focus treatment goals

Prediction of discharge walking ability from initial assessment in a stroke inpatient rehabilitation facility population

Objectives: To (1) determine which clinical assessments at admission to an inpatient rehabilitation facility (IRF) most simply predict discharge walking ability, and (2) identify a clinical decision rule to differentiate household versus community ambulators at discharge from an IRF. Design: Retrospective cohort study. Setting: IRF. Participants: Two samples of participants (n=110 and 159) admitted with stroke. Interventions: A multiple regression determined which variables obtained at admission (age, time from stroke to assessment, Motricity Index, somatosensation, Modified Ashworth Scale, FIM, Berg Balance Scale, 10-m walk speed) could most simply predict discharge walking ability (10-m walk speed). A logistic regression determined the likelihood of a participant achieving household (= 0.4-0.8m/s; >0.8m/s) ambulation at the time of discharge. Validity of the results was evaluated on a second sample of participants. Main Outcome Measure: Discharge 10-m walk speed. Results: Admission Berg Balance Scale and FIM walk item scores explained most of the variance in discharge walk speed. The odds ratio of achieving only household ambulation at discharge was 20 (95% confidence interval [CI], 6-63) for sample I and 32 (95% CI, 10-96) for sample 2 when the combination of having a Berg Balance Scale score of <= 20 and a FIM walk item score of 1 or 2 was present. Conclusions: A Berg Balance Scale score of <= 20 and a FIM walk item score of 1 or 2 at admission indicates that a person with stroke is highly likely to only achieve household ambulation speeds at discharge from an IRF

Clinician adherence to a standardized assessment battery across settings and disciplines in a poststroke rehabilitation population

none12siObjectives: (1) To examine clinician adherence to a standardized assessment battery across settings (acute hospital, inpatient rehabilitation facilities [IRFs], outpatient facility), professional disciplines (physical therapy [PT], occupational therapy, speech-language pathology), and time of assessment (admission, discharge/monthly), and (2) to evaluate how specific implementation events affected adherence. Design: Retrospective cohort study. Setting: Acute hospital, IRF, and outpatient facility with approximately 118 clinicians (physical therapists, occupational therapists, speech-language pathologists). Participants: Participants (N=2194) with stroke who were admitted to at least 1 of the above settings. All persons with stroke underwent standardized clinical assessments. Interventions: Not applicable. Main Outcome Measures: Adherence to Brain Recovery Core assessment battery across settings, professional disciplines, and time. Visual inspections of 17 months of time-series data were conducted to see if the events (eg, staff meetings) increased adherence >= 5% and if so, how long the increase lasted. Results: Median adherence ranged from .52 to .88 across all settings and professional disciplines. Both the acute hospital and the IRF had higher adherence than the outpatient setting (P = 5% increase in adherence the following month, with 6 services (60%) maintaining their increased level of adherence for at least 1 additional month. Conclusions: Actual adherence to a standardized assessment battery in clinical practice varied across settings, disciplines, and time. Specific events increased adherence 40% of the time with those gains maintained for >1 month 60% of the time. (C) 2013 by the American Congress of Rehabilitation MedicinemixedBland, Marghuretta D.; Sturmoski, Audra; Whitson, Michelle; Harris, Hilary; Connor, Lisa Tabor; Fucetola, Robert; Edmiaston, Jeff; Huskey, Thy; Carter, Alexandre; Kramper, Marian; Corbetta, Maurizio; Lang, Catherine E.Bland, Marghuretta D.; Sturmoski, Audra; Whitson, Michelle; Harris, Hilary; Connor, Lisa Tabor; Fucetola, Robert; Edmiaston, Jeff; Huskey, Thy; Carter, Alexandre; Kramper, Marian; Corbetta, Maurizio; Lang, Catherine E

Table1_Referent data for investigations of upper limb accelerometry: harmonized data from three cohorts of typically-developing children.docx

AimThe rise of wearable sensing technology shows promise for addressing the challenges of measuring motor behavior in pediatric populations. The current pediatric wearable sensing literature is highly variable with respect to the number of sensors used, sensor placement, wearing time, and how data extracted from the sensors are analyzed. Many studies derive conceptually similar variables via different calculation methods, making it hard to compare across studies and clinical populations. In hopes of moving the field forward, this report provides referent upper limb wearable sensor data from accelerometers on 25 variables in typically-developing children, ages 3–17 years.MethodsThis is a secondary analysis of data from three pediatric cohorts of children 3–17 years of age. Participants (n = 222) in the cohorts wore bilateral wrist accelerometers for 2–4 days for a total of 622 recording days. Accelerometer data were reprocessed to compute 25 variables that quantified upper limb movement duration, intensity, symmetry, and complexity. Analyses examined the influence of hand dominance, age, gender, reliability, day-to-day stability, and the relationships between variables.ResultsThe majority of variables were similar on the dominant and non-dominant sides, declined slightly with age, and were not different between boys and girls. ICC values were moderate to excellent. Variation within individuals across days generally ranged from 3% to 32%. A web-based R shiny object is available for data viewing.InterpretationWith the use of wearable movement sensors increasing rapidly, these data provide key, referent information for researchers as they design studies, and analyze and interpret data from neurodevelopmental and other pediatric clinical populations. These data may be of particularly high value for pediatric rare diseases.</p