Literature DB >> 28395429

[Formulation and evaluation of diagnostic questionnaire for benign paroxysmal positional vertigo].

L Li1, J G Liu, Z W Wang, X K Qi.   

Abstract

Objective: To formulate and evaluate a rapid assessment questionnaire for benign paroxysmal positional vertigo(BPPV).
Methods: The rapid assessment questionnaire for benign paroxysmal positional vertigo was developed based on the core clinical manifestations of BPPV.A total of 235 dizzy patients, with an average age of 56±16, were recruited from the Navy General Hospital during October 2015 to March 2016.The assessments were made by two specialists for BPPV, and the diagnoses were confirmed through follow-up.The reliability and validity of the scale questionnaire were analyzed with the SPSS 19.0 and the cutoff point was confirmed with the Receiver operating characteristic(ROC) curve analysis.
Results: Reliability test: Cronbach α value for the questionnaire was 0.644; Validity: KMO (Kasier-Meyer-Olkin) value for the questionnaire was 0.711.Two factors were used with a characteristic root of higher than 0.9.The total cumulative contribution rate was 53.816%.The load of each item was over 0.5.The range of the scale is 0 to 6 points, with the largest ROC curve area (0.894) at 3 points for the diagnosis of BPPV.The relative sensitivity and specialty were 92.45% and 71.60% , respectively. Conclusions: This rapid assessment questionnaire for benign paroxysmal positional vertigo posses good reliability and validity, and can be used as a tool for a quick diagnosis of BPPV for patients with dizziness. BPPV can be diagnosed with a score of 3 by using this questionnaire.

Entities:  

Keywords:  Questionnaire; Reliability; Validity; Vertigo

Mesh:

Year:  2017        PMID: 28395429     DOI: 10.3760/cma.j.issn.0376-2491.2017.14.007

Source DB:  PubMed          Journal:  Zhonghua Yi Xue Za Zhi        ISSN: 0376-2491


  2 in total

1.  Update on benign paroxysmal positional vertigo.

Authors:  Hyo-Jung Kim; JaeHan Park; Ji-Soo Kim
Journal:  J Neurol       Date:  2020-11-24       Impact factor: 4.849

2.  A Questionnaire-Based Ensemble Learning Model to Predict the Diagnosis of Vertigo: Model Development and Validation Study.

Authors:  Fangzhou Yu; Peixia Wu; Haowen Deng; Cheng Zhang; Huawei Li; Jingfang Wu; Shan Sun; Huiqian Yu; Jianming Yang; Xianyang Luo; Jing He; Xiulan Ma; Junxiong Wen; Danhong Qiu; Guohui Nie; Rizhao Liu; Guohua Hu; Tao Chen
Journal:  J Med Internet Res       Date:  2022-08-03       Impact factor: 7.076

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.