Erschienen in:
13.04.2022 | Review Article
Psychometric properties of the Facial Disability Index in patients with facial palsy: a systematic review and meta-analysis
verfasst von:
Fatih Özden, İsmet Tümtürk, Zübeyir Sarı
Erschienen in:
Neurological Sciences
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Ausgabe 7/2022
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Abstract
Purpose
The aim of the study was to present the systematic review and meta-analysis of the psychometrical analysis of Facial Disability Index (FDI) studies.
Methods
A literature search was conducted in the relevant electronic databases “PubMed, Scopus, Web of Science (WoS), and Cochrane Library.” A total of 621 articles were obtained by searching the relevant keywords (PubMed: 384, Cochrane Library: 14, Web of Science: 132, Scopus: 91). A total of 8 papers were included. The four-point classification and rating-based “COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN)” tools were used to evaluate the bias risk and evidence levels.
Results
Cronbach’s alpha pooling of FDI total score was (ES): 0.803 (95% CI: 0.73–0.86). Heterogeneity for the Facial Disability Index-Physical Function (FDI-PF) and Facial Disability Index-Social Function (FDI-SF) subscore based on intraclass correlation coefficient (ICC) were I2 = 84.2% (ICC: 0.88, 95% CI: 0.81–0.92) and I2 = 73.7% (ICC: 0.87, 95% CI: 0.81–0.90), respectively. Correlational results between Sunnybrook Facial Grading System (SFGS) with FDI-PF and FDI-SF were 0.38 and 0.22, respectively. The correlations of FDI-PF with Short Form-12 Physical Component Summary (SF-12-PCS) and Short Form-12 Mental Health Component Summary (SF-12-MCS) were 0.43 and 0.28, respectively. Correlation results of FDI-SF with SF-12-PCS and SF-12-MCS were 0.23 and 0.57. The relationship results of Facial Clinimetric Evaluation with FDI-PF and FDI-SF were 0.71 and 0.57, respectively.
Conclusion
FDI is a psychometrically valuable questionnaire, especially for the internal consistency, reliability, and validity. In clinical practice, the use of FDI would be valuable, in addition to clinician-based grading, to see more of patients’ social influences precisely.