Reliability and validation of the Chinese version of the epilepsy surgery satisfaction questionnaire

Epilepsy Behav. 2023 Oct:147:109438. doi: 10.1016/j.yebeh.2023.109438. Epub 2023 Sep 14.

Abstract

Objective: To evaluate the reliability and validity the Chinese version of 19-item Epilepsy Surgery Satisfaction Questionnaire (C-ESSQ-19) in Chinese mainland patients.

Methods: Patients with epilepsy who had epilepsy surgery in our hospital one year earlier were included. Internal consistency and test-retest reliability were assessed by using Cronbach alpha and intraclass correlation coefficient (ICC). Confirmatory factor analysis was used for construct validity. Discriminant validity was assessed using receiver operating characteristic curve analysis.

Results: A total of 132 patients participated in our study, consisting of 59 females and 73 males. The C-ESSQ-19 yielded a median summary score of 86.5 (IQR=72.7-98.0). The Cronbach's alpha of the four domains of the C-ESSQ-19 ranged from 0.746 to 0.973. The test-retest reliability evaluated by ICC were good to excellent, ranging from 0.71 to 0.90 (P < 0.001). The C-ESSQ-19 demonstrated excellent construct validity, as indicated by the satisfactory goodness-of-fit of the data (SRMR = 0.046; CFI = 1.000). It exhibited acceptable discriminant validity for differentiating between patients excised or not (AUC = 0.72; 95% CI = 0.59-0.86) and self-rated severity of epilepsy (AUC = 0.76, 95% CI = 0.67-0.86), but poor discriminant validity for other factors, such as being seizure-free or not (AUC = 0.66, CI = 0.56-0.75), depressed or not (AUC = 0.66, 95% CI = 0.54-0.79), and self-rated disability related to seizures (AUC = 0.65, 95% CI = 0.50-0.80).

Conclusions: The C-ESSQ-19 has proven to be a reliable and valid self-rated questionnaire for assessing the satisfaction of Chinese mainland epilepsy patients with surgery.

Keywords: Chinese mainland; Epilepsy surgery; Questionnaire; Satisfaction; Validation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Psychometrics
  • ROC Curve
  • Reproducibility of Results*
  • Surveys and Questionnaires