Franki Inge, De Cat Josse, Deschepper Ellen, Molenaers Guy, Desloovere Kaat, Himpens Eveline, Vanderstraeten Guy, Van den Broeck Chris
Ghent University, Rehabilitation Sciences and Physiotherapy, Belgium; KU-Leuven, Department of Rehabilitation Sciences, Belgium.
University Hospital Pellenberg (UZ Leuven), Clinical Motion Analysis Laboratory, Belgium; KU-Leuven, Department of Rehabilitation Sciences, Belgium.
Res Dev Disabil. 2014 May;35(5):1160-76. doi: 10.1016/j.ridd.2014.01.025. Epub 2014 Mar 13.
The primary aim of the study was to investigate how a clinical decision process based on the International Classification of Function, Disability and Health (ICF) and the Hypothesis-Oriented Algorithm for Clinicians (HOAC-II) can contribute to a reliable identification of main problems in ambulant children with cerebral palsy (CP). As a secondary aim, to evaluate how the additional information from three-dimensional gait analysis (3DGA) can influence the reliability. Twenty-two physical therapists individually defined the main problems and specific goals of eight children with bilateral spastic CP. In four children, the results of 3DGA were provided additionally to the results of the clinical examination and the GMFM-88 (gross motor function measure-88). Frequency analysis was used to evaluate the selected main problems and goals. For the main problems, pair-wise agreement was calculated by the number of corresponding problems between the different therapists and using positive and negative agreement per problem. Cluster analysis using Ward's method was used to evaluate correspondence between the main problems and specific goals. The pair-wise agreement revealed frequencies of 47%, 32% and 3% for the identification of one, two or three corresponding main problems. The number of corresponding main problems was higher when additional information of 3DGA was provided. Most of the specific goals were targeting strength (34%), followed by range of motion (15.2%) and GMFM-D (11.8%). In 29.7% of the cases, therapists could not prioritize and exceeded the number of eight specific goals. Cluster analysis revealed a logic connection between the selection of strength as a main problem and as specific goal parameters. Alignment as a main problem was very often associated with specific parameters like ROM and muscle length and with hypertonia as a main problem. The results show a moderate agreement for the selection of main problems. Therapists are able to use the proposed model for a logic and structured clinical reasoning. Setting priorities in the definition of specific goals is revealed as a remaining difficulty. Further research is required to investigate the additional value of 3DGA and to improve priority setting.
该研究的主要目的是调查基于国际功能、残疾和健康分类(ICF)以及临床医生假设导向算法(HOAC-II)的临床决策过程如何有助于可靠识别门诊脑瘫(CP)儿童的主要问题。作为次要目的,评估三维步态分析(3DGA)的额外信息如何影响可靠性。22名物理治疗师分别确定了8名双侧痉挛性CP儿童的主要问题和具体目标。对于4名儿童,除了临床检查和GMFM-88(粗大运动功能测量-88)结果外,还提供了3DGA结果。频率分析用于评估所选的主要问题和目标。对于主要问题,通过不同治疗师之间相应问题的数量并使用每个问题的正一致性和负一致性来计算两两一致性。使用Ward方法的聚类分析用于评估主要问题和具体目标之间的对应关系。两两一致性显示,识别出一个、两个或三个相应主要问题的频率分别为47%、32%和3%。提供3DGA的额外信息时,相应主要问题的数量更高。大多数具体目标针对力量(34%),其次是活动范围(15.2%)和GMFM-D(11.8%)。在29.7%的病例中,治疗师无法确定优先级,且超出了8个具体目标的数量。聚类分析揭示了将力量选为主要问题与选为具体目标参数之间的逻辑联系。将对线选为主要问题通常与ROM和肌肉长度等特定参数以及将张力亢进选为主要问题相关。结果表明,在主要问题的选择上存在中等程度的一致性。治疗师能够使用所提出的模型进行逻辑和结构化的临床推理。在确定具体目标时确定优先级仍然是一个困难。需要进一步研究以调查3DGA的附加价值并改善优先级的确定。