Derivation and validation of a short-form oral health impact profile
Derivation and validation of a short-form oral health impact profile
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DOI：
10.1111/j.1600-0528.1997.tb00941.x
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发表时间：
1997-08-01
影响因子：
2.3
通讯作者：
Slade, GD
中科院分区：
文献类型：
--
作者：
Slade, GD
人们越来越认识到生活质量是牙科护理的一个重要结果，因此需要一系列仪器来测量与口腔健康相关的生活质量。本研究旨在从口腔健康影响概况 (OHIP-49) 中得出一个项目子集，这是一份包含 49 项的问卷，用于衡量人们对口腔状况对其健康影响的看法，使用对南澳大利亚 1217 名 60 岁以上人群进行的流行病学研究的数据进行二次分析，通过内部可靠性分析、因子分析和回归分析得出一个子集 (OHIP-14) 调查问卷及其有效性是通过评估与社会人口统计学和临床口腔状况变量的关联来评估的。 OHIP-14 的内部可靠性使用 Cronbach 系数 α 进行评估，回归分析产生了 14 个问题的最佳集合，OHIP-14 占 OHIP-49 中 94% 的方差；具有高可靠性（alpha = 0.88）；包含 OHIP-49 七个概念维度中每一个维度的问题；并且各个问题的患病率分布良好，OHIP-14 分数和 OHIP-49 分数在老年人的社会人口统计学群体中显示出相同的变化模式。在对有齿人群的多变量分析中，八个口腔状况和社会人口统计学变量相关（P
Growing recognition that quality of life is an important outcome of dental care has created a need for a range of instruments to measure oral health-related quality of life. This study aimed to derive a subset of items from the Oral Health Impact Profile (OHIP-49) - a 49-item questionnaire that measures people's perceptions of the impact of oral conditions on their well-being, Secondary analysis was conducted using data from an epidemiologic study of 1217 people aged 60+ years in South Australia, Internal reliability analysis, factor analysis and regression analysis were undertaken to derive a subset (OHIP-14) questionnaire and its validity was evaluated by assessing associations with sociodemographic and clinical oral status variables. Internal reliability of the OHIP-14 was evaluated using Cronbach's coefficient alpha, Regression analysis yielded an optimal set of 14 questions, The OHIP-14, accounted for 94% of variance in the OHIP-49; had high reliability (alpha = 0.88); contained questions from each of the seven conceptual dimensions of the OHIP-49; and had a good distribution of prevalence for individual questions, OHIP-14 scores and OHIP-49 scores displayed the same pattern of variation among sociodemographic groups of older adults. In a multivariate analysis of dentate people, eight oral status and sociodemographic variables were associated (P