Peker Kadriye, Köse Taha Emre, Güray Beliz, Uysal Ömer, Erdem Tamer Lütfi
a Department of Dental Public Health, Faculty of Dentistry , Istanbul University , Capa , Istanbul , Turkey.
b Department of Oral and Maxillofacial Radiology, Faculty of Dentistry , Istanbul University , Capa , Istanbul , Turkey.
Acta Odontol Scand. 2017 Apr;75(3):198-207. doi: 10.1080/00016357.2016.1278079. Epub 2017 Jan 16.
To culturally adapt the Turkish version of Rapid Estimate of Adult Literacy in Dentistry (TREALD-30) for Turkish-speaking adult dental patients and to evaluate its psychometric properties.
After translation and cross-cultural adaptation, TREALD-30 was tested in a sample of 127 adult patients who attended a dental school clinic in Istanbul. Data were collected through clinical examinations and self-completed questionnaires, including TREALD-30, the Oral Health Impact Profile (OHIP), the Rapid Estimate of Adult Literacy in Medicine (REALM), two health literacy screening questions, and socio-behavioral characteristics. Psychometric properties were examined using Classical Test Theory (CTT) and Rasch analysis.
Internal consistency (Cronbach's Alpha = 0.91) and test-retest reliability (Intraclass correlation coefficient = 0.99) were satisfactory for TREALD-30. It exhibited good convergent and predictive validity. Monthly family income, years of education, dental flossing, health literacy, and health literacy skills were found as stronger predictors of patients'oral health literacy (OHL). Confirmatory factor analysis (CFA) confirmed a two-factor model. The Rasch model explained 37.9% of the total variance in this dataset. In addition, TREALD-30 had eleven misfitting items, which indicated evidence of multidimensionality. The reliability indeces provided in Rasch analysis (person separation reliability = 0.91 and expected-a-posteriori/plausible reliability = 0.94) indicated that TREALD-30 had acceptable reliability.
TREALD-30 showed satisfactory psychometric properties. It may be used to identify patients with low OHL. Socio-demographic factors, oral health behaviors and health literacy skills should be taken into account when planning future studies to assess the OHL in both clinical and community settings.
对土耳其语版的牙科成人识字率快速评估量表(TREALD - 30)进行文化适应性调整,以适用于说土耳其语的成年牙科患者,并评估其心理测量学特性。
在进行翻译和跨文化调整后,对127名在伊斯坦布尔一所牙科学校诊所就诊的成年患者样本进行了TREALD - 30测试。通过临床检查和自我填写问卷收集数据,问卷包括TREALD - 30、口腔健康影响量表(OHIP)、医学成人识字率快速评估量表(REALM)、两个健康素养筛查问题以及社会行为特征。使用经典测试理论(CTT)和拉施分析来检验心理测量学特性。
TREALD - 30的内部一致性(克朗巴哈系数α = 0.91)和重测信度(组内相关系数 = 0.99)令人满意。它表现出良好的收敛效度和预测效度。发现月家庭收入、受教育年限、使用牙线、健康素养和健康素养技能是患者口腔健康素养(OHL)更强的预测因素。验证性因素分析(CFA)证实了一个双因素模型。拉施模型解释了该数据集中总方差的37.9%。此外,TREALD - 30有11个不拟合项目,这表明存在多维性证据。拉施分析中提供的信度指标(个人分离信度 = 0.91和预期后验/似真信度 = 0.94)表明TREALD - 30具有可接受的信度。
TREALD - 30显示出令人满意的心理测量学特性。它可用于识别低OHL的患者。在规划未来评估临床和社区环境中OHL的研究时,应考虑社会人口学因素、口腔健康行为和健康素养技能。