Schreiber Sanja, Parent Eric C, Kawchuk Gregory N, Hedden Douglas M
Department of Physical Therapy, University of Alberta, 8205 114 Street, 2-50 Corbett Hall, Edmonton, AB T6G 2G4, Canada.
Department of Surgery, University of Alberta, 8440 112 Street, 2D2.24 WMC, Edmonton, AB T6G 2R7, Canada.
Children (Basel). 2023 Mar 8;10(3):523. doi: 10.3390/children10030523.
Schroth exercises for scoliosis are prescribed based on curve types. This study aimed to determine the reliability of an algorithm for classifying Schroth curve types. Forty-four consecutive volunteers with adolescent idiopathic scoliosis, 10 to 18 years old, with curves 10° to 50°, were recruited from a scoliosis clinic. Their standing posture and Adam's bending test were videotaped. Ten consecutive Schroth therapist volunteers from an international registry independently classified the curve types using the proposed classification algorithm. Videos were rated twice at least seven days apart. Reliability was calculated using the Gwet's AC1 agreement coefficient for all the raters and for subgroups reporting full understanding (well-trained) and with prior algorithm experience. The intra-rater and weighted agreement coefficients for all the raters were 0.64 (95% CI: 0.53-0.73) and 0.75 (0.63-0.84), respectively. For the well-trained raters, they were 0.70 (0.60-0.78) and 0.82 (0.73-0.88), respectively; for the experienced raters, they were 0.81 (0.77-0.85) and 0.89 (0.80-0.94), respectively. The inter-rater versus weighted agreement coefficients for all the raters were 0.43 (0.28-0.58) versus 0.48 (0.29-0.67). For the well-trained raters, they were 0.50 (0.38-0.61) versus 0.61 (0.49-0.72), and for the experienced raters, they were 0.67 (0.50-0.85) versus 0.79 (0.64-0.94). Full understanding and experience led to higher reliability. Use of the algorithm can help standardize Schroth exercise treatment.
脊柱侧弯的施罗特运动疗法是根据侧弯类型来制定的。本研究旨在确定一种用于分类施罗特侧弯类型的算法的可靠性。从一家脊柱侧弯诊所招募了44名年龄在10至18岁、侧弯角度为10°至50°的青少年特发性脊柱侧弯连续志愿者。对他们的站立姿势和亚当斯前屈试验进行了录像。来自国际登记处的10名连续的施罗特治疗师志愿者使用所提出的分类算法对侧弯类型进行了独立分类。视频至少间隔七天进行了两次评分。使用格韦特AC1一致性系数计算所有评分者以及报告完全理解（训练有素）和有算法经验的亚组的可靠性。所有评分者的组内一致性系数和加权一致性系数分别为0.64（95%CI：0.53 - 0.73）和0.75（0.63 - 0.84）。对于训练有素的评分者，分别为0.70（0.60 - 0.78）和0.82（0.73 - 0.88）；对于有经验的评分者，分别为0.81（0.77 - 0.85）和0.89（0.80 - 0.94）。所有评分者的组间一致性系数与加权一致性系数分别为0.43（0.28 - 0.58）对0.48（0.29 - 0.67）。对于训练有素的评分者，分别为0.50（0.38 - 0.61）对0.61（0.49 - 0.72），对于有经验的评分者，分别为0.67（0.50 - 0.85）对0.79（0.64 - 0.94）。完全理解和经验导致更高的可靠性。使用该算法有助于规范施罗特运动疗法。
