Background: The Perceive, Recall, Plan & Perform (PRPP) system of task analysis might be feasible to evaluate occupational performance and information processing strategies for persons with Parkinson's disease (PD).
Aim: To evaluate: (1) the random error between raters (inter-rater study), (2) the random error within raters (intra-rater study), and (3) the internal consistency of the PRPP.
Materials And Methods: (1) video-recorded performance of meaningful activities of 13 Dutch persons with PD, scored independently by 38 Dutch PRPP trained occupational therapists were included in the analysis. The random error between raters was analyzed with two-way random Intraclass Correlation Coefficients (ICC). (2) Four videos were scored twice by 30 raters (6 week time interval). The random error within raters was analyzed using one-way random ICC's. (3) Internal consistency study: data of 190 persons with PD were analyzed using Cronbach's alpha (α).
Results: Inter-rater reliability ranged from slight to moderate (ICC= 0.06-0.43). The mean intra-rater reliability ranged from moderate to almost perfect (ICC= 0.60-0.83). Internal consistency is good (α = 0.60-0.86).
Conclusion: The limited inter-rater reliability but adequate intra-rater reliability and internal consistency show the feasibility of the PRPP when used for persons with PD. Implications for reliable clinical use are discussed.
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http://dx.doi.org/10.1080/11038128.2016.1233291 | DOI Listing |
Neurourol Urodyn
December 2024
Disciplina de Ginecologia, Departamento de Obstetricia e Ginecologia, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil.
Objective: To test the Intra- and inter-rater reliability, measurement error and criteria and convergent validities of the Dualpex Plus (DP) for vaginal manometry in women with urinary incontinence (UI).
Design: This is a clinimetric properties study.
Setting: University Hospital in Brazil.
Nat Sci Sleep
December 2024
Department of Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People's Republic of China.
Purpose: Sleep apnea (SA), associated with absent neural output, is characterised by recurrent episodes of hypoxemia and repeated arousals during sleep, resulting in decreased sleep quality and various health complications. Mitochondrial DNA copy number (mtDNA-CN), an easily accessible biomarker in blood, reflects mitochondrial function. However, the causal relationship between mtDNA-CN and SA remains unclear.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
College of Food Science and Biotechnology, Zhejiang Gongshang University, 149 Jiaogong Road, Hangzhou, Zhejiang Province 310035, People's Republic of China. Electronic address:
Glutamate decarboxylases (GADs) can catalyze the conversion of l-glutamate to γ-aminobutyric acid (GABA), while consuming one H. However, the GADs found so far are catalytically active in the pHs of 3.8-5.
View Article and Find Full Text PDFBrief Funct Genomics
December 2024
School of Mathematics and Statistics, Southwest University, Chongqing, China.
When the traditional random forest (RF) algorithm is used to select feature elements in biostatistical data, a large amount of noise data and parameters can affect the importance of the selected feature elements, making the control of feature selection difficult. Therefore, it is a challenge for the traditional RF algorithm to preserve the accuracy of algorithm results in the presence of noise data. Generally, directly removing noise data can result in significant bias in the results.
View Article and Find Full Text PDFFront Big Data
December 2024
Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, United States.
Introduction: Self-efficacy is a critical determinant of students' academic success and overall life outcomes. Despite its recognized importance, research on predictors of self-efficacy using machine learning models remains limited, particularly within Muslim societies. This study addresses this gap by leveraging advanced machine learning techniques to analyze key factors influencing students' self-efficacy.
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