Parkinson’s Disease Gravity Index: A Method by means of Optimal Scaling
المؤلفون المشاركون
Serrano-Dueñas, Marcos
Masabanda, Luis
Luquin, Maria-Rosario
المصدر
Neurology Research International
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-16
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Objective.
This study has been designed with the aim of using optimal scaling to perform the allocation of scores and to be able to construct an indicator of the Parkinson’s Disease Gravity Index.
Scores were assigned to interrelated dimensions that share information about the patient’s situation, to have an objective, holistic tool which integrates scores so that doctors can have a comprehensive idea of the patient’s situation.
Patients and Methods.
120 consecutive patients with Parkinson’s diagnosis were chosen according to the United Kingdom Parkinson’s Disease Society Brain Bank criteria.
Subsequently, all the chosen dimensions were transformed into interval variables for which the formula proposed by Sturges was used.
Once the dimensions were transformed into interval variables, optimal scaling was carried out.
Subsequently, the following attributes were analyzed: quality and acceptability of the data; reliability: internal consistency, reliability index, Cronbach’s alpha, and standard error of measurement; finally, validity: convergent validity and validity for known groups.
Results.
There were no missing data.
An appropriate Cronbach’s alpha value of 0.71 was gathered, and all items were found to be pertinent to the scale.
The item homogeneity index was 0.36.
Precision evaluated with the standard error of measurement was 7.8.
The Parkinson’s Disease Gravity Index discriminant validity (validity for known groups), assessed among the different stages of Hoehn and Yahr scale by the Kruskal–Wallis test, showed major significance (X2 = 32.7, p≤0.001).
Conclusions.
The Parkinson’s Disease Gravity Index has shown adequate metric properties.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Serrano-Dueñas, Marcos& Masabanda, Luis& Luquin, Maria-Rosario. 2020. Parkinson’s Disease Gravity Index: A Method by means of Optimal Scaling. Neurology Research International،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1203242
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Serrano-Dueñas, Marcos…[et al.]. Parkinson’s Disease Gravity Index: A Method by means of Optimal Scaling. Neurology Research International No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1203242
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Serrano-Dueñas, Marcos& Masabanda, Luis& Luquin, Maria-Rosario. Parkinson’s Disease Gravity Index: A Method by means of Optimal Scaling. Neurology Research International. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1203242
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1203242
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر