RESUMO
OBJECTIVE: To determine if functional measures of ambulation can be accurately classified using clinical measures; demographics; personal, psychosocial, and environmental factors; and limb accelerations (LAs) obtained during sleep among individuals with chronic, motor incomplete spinal cord injury (SCI) in an effort to guide future, longitudinal predictions models. DESIGN: Cross-sectional, 1-5 days of data collection. SETTING: Community-based data collection. PARTICIPANTS: Adults with chronic (>1 year), motor incomplete SCI (N=27). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Ambulatory ability based on the 10-m walk test (10MWT) or 6-minute walk test (6MWT) categorized as nonambulatory, household ambulator (0.01-0.44 m/s, 1-204 m), or community ambulator (>0.44 m/s, >204 m). A random forest model classified ambulatory ability using input features including clinical measures of strength, sensation, and spasticity; demographics; personal, psychosocial, and environmental factors including pain, environmental factors, health, social support, self-efficacy, resilience, and sleep quality; and LAs measured during sleep. Machine learning methods were used explicitly to avoid overfitting and minimize the possibility of biased results. RESULTS: The combination of LA, clinical, and demographic features resulted in the highest classification accuracies for both functional ambulation outcomes (10MWT=70.4%, 6MWT=81.5%). Adding LAs, personal, psychosocial, and environmental factors, or both increased the accuracy of classification compared with the clinical/demographic features alone. Clinical measures of strength and sensation (especially knee flexion strength), LA measures of movement smoothness, and presence of pain and comorbidities were among the most important features selected for the models. CONCLUSIONS: The addition of LA and personal, psychosocial, and environmental features increased functional ambulation classification accuracy in a population with incomplete SCI for whom improved prognosis for mobility outcomes is needed. These findings provide support for future longitudinal studies that use LA; personal, psychosocial, and environmental factors; and advanced analyses to improve clinical prediction rules for functional mobility outcomes.
Assuntos
Traumatismos da Medula Espinal , Caminhada , Aceleração , Adulto , Estudos Transversais , Humanos , SonoRESUMO
OBJECTIVE: To determine the effectiveness of a web-based, direct-to-user transfer training program in improving transfer quality and maintaining improvements for up to 1 month after training as compared with a control group. DESIGN: Randomized controlled trial with participants randomized to an immediate intervention group (IIG) or waitlist control group (WLCG) that received the training after a 6-month delay. SETTING: Wherever the participants accessed the web-based training, likely the home environment. PARTICIPANTS: Convenience sample of full-time wheelchair users (N=72; IIG, n=34; WLCG, n=38 for between-group analysis, n=48 for combined within-group analysis) with spinal cord injury or disorder who were able to independently perform a lateral scoot transfer. INTERVENTIONS: Self-paced, web-based transfer training module. MAIN OUTCOME MEASURES: Transfer Assessment Instrument Questionnaire (TAI-Q) score at baseline, 1 month, and 6 months postbaseline (WLCG only), immediately posttraining, and 1 month posttraining. The TAI-Q is an 18-item self-assessment that covers several aspects of a quality transfer. RESULTS: The IIG significantly increased particpants' baseline TAI-Q score from 6.91±0.98 to 7.79±1.12 (P<.001) by 1 month posttraining. The WLCG also increased from baseline to the 1-month postbaseline assessment (from 6.52±1.13 to 7.00±1.09; P=.014), potentially from learning effects secondary to self-assessment with the TAI-Q. The extent of change over time did not differ significantly between the IIG and WLCG from baseline to 1 month (P=.169). However, significant improvements in TAI-Q scores were still evident after the training for the WLCG (P<.001). Those with a lower pretraining TAI-Q score and more shoulder pain were most likely to benefit from the training. CONCLUSIONS: Repeated TAI-Q self-assessments likely contributed to improved transfer quality, with web-based training having an additive effect. Wheelchair users are likely to benefit from transfer training and self-assessment of transfer quality in their home environments. This has the potential to decrease injury risk while avoiding barriers to in-person training.