ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
ABSTRACT
Introduction: The field of motor learning (ML) plays a pivotal role in physical therapy (PT), and its implementation has been shown to improve intervention outcomes. The objective of this study was to assess physical therapists’ ML-related self-efficacy, self-reported implementation, and environmental workplace factors. An additional aim was to report the psychometric properties of a questionnaire that was developed to assess the above-mentioned constructs. Methods: An observational, cross-sectional survey was completed by 289 physical therapists (average age: 38.7 (9.7), with 11.3 (9.7) years of experience and 74% female). Construct validity, internal consistency, and test–retest reliability were tested. The main outcome measures were the scores of the three scales of the questionnaire, referring to self-efficacy in ML, implementation of ML principles, and workplace environment features. Results: The questionnaire had sound psychometric qualities. Respondents perceived ML as an integral part of PT. ML-related self-efficacy and implementation of ML principles were moderate (2.95/5 (0.7) and 3.04/5 (0.8), respectively). PT practice had a significant effect on ML-related self-efficacy (p = 0.035) and implementation (p = 0.0031). Respondents who had undergone ML training in their graduate program reported higher ML-related self-efficacy (p = 0.007). Respondents who had postgraduate training in ML reported significantly more extensive implementation (p = 0.024). Lack of knowledge and lack of time were perceived as the major barriers to implementation. Conclusions: Level of self-efficacy might be insufficient to support the systematic implementation of ML principles in practice. Addressing impeding individual- and organizational-level factors might facilitate ML self-efficacy and implementation. Postgraduate education facilitates ML implementation.
Conclusions
The study sheds light on the current state of ML selfefficacy among PTs, self-reported implementation, and possible barriers for implementation of ML principles. PTs confirmed that ML is an important part of physiotherapy practice; however, there are gaps between the extent of theoretical knowledge of ML principles in the literature and their implementation in clinical practice. PTs have moderate self-efficacy in the field of ML, which may be insufficient to support a high standard of implementation. The findings distinguished between ML concepts that may be easier to understand and implement and concepts that are more challenging to master. The findings confirm the contribution of postgraduate education in facilitating ML implementation.