Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile.

Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile.
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DOI:
10.1186/s12903-021-01954-w
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发表时间:
2021-11-23
期刊:
影响因子:
2.9
通讯作者:
Paulson D
Paulson D
中科院分区:
医学3区
文献类型:
--
作者:
Pattanaik S;Lee CH;John MT;Chanthavisouk P;Paulson D

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本研究旨在调查在49项口腔健康影响量表(OHIP)中:(i)当参与者回答更多问题时,会出现更多缺失数据,(ii)特定项目或相关项目组中出现更多缺失数据,以及(iii)项目缺失与人口统计学特征和口腔健康相关生活质量(OHRQoL)损伤水平相关。我们使用了来自OHRQoL(DOQ)项目的OHIP数据,该项目整合了来自35项单独研究的数据。在这些研究中,我们分析了来自19项研究(4,847名受调查者,其中3,481人在监督下完成,1,366人在无监督下完成)的OHIP数据,其中包含一些缺失信息。我们计算描述性统计量来调查OHIP缺失。我们还使用了逻辑回归分析,缺失信息作为因变量,填写的问题数量(OHIP项目排名)作为有监督和无监督样本的自变量。为了研究缺失数据是否更多地出现在特定项目或相关项目组中,我们将个体OHIP项目和OHRQoL维度作为指标变量拟合回归模型。我们还调查了年龄、性别和OHRQoL水平作为缺失OHIP项目的预测变量。我们发现单个OHIP项目和一组相关项目的缺失水平非常低,并且没有与更多缺失数据相关的特定项目或一组相关项目。此外,更多的缺失数据并不取决于参与者是否回答了更多的问题。在没有监督的研究中,老年人和女性丢失物品的可能性是年轻人和女性的5.47倍和2.66倍。然而,在有监督的研究中,老年人和OHRQoL受损的参与者有缺失项目的可能性分别为1.70和2.65倍。来自普通人群和牙科患者人群的研究参与者没有发现OHIP-49负担。OHIP项目的缺失并不取决于特定的OHIP项目或一组相关项目,或者研究参与者是否对更多的OHIP项目做出反应。我们没有发现一个一致的模式的影响,社会人口和OHRQoL的大小信息OHIP失踪。缺失的OHIP信息量较低,使得任何潜在影响的幅度可能较小。
This study aimed to investigate if in the 49-item Oral Health Impact Profile (OHIP): (i) more missing data occurred when participants answered more questions, (ii) more missing data occurred in a particular item or set of related items, and (iii) item missingness was associated with the demographic characteristics and oral health-related quality of life (OHRQoL) impairment level. We used OHIP data from the Dimensions of OHRQoL (DOQ) project, which consolidated data from 35 individual studies. Among these studies, we analyzed OHIP data from 19 studies (4,847 surveyed individuals, of which 3,481 were completed under supervision and 1,366 were completed unsupervised) that contained some missing information. We computed descriptive statistics to investigate the OHIP missingness. We also used logistic regression analyses, with missing information as the dependent variable, and number of questions filled in (OHIP item rank) as the independent variable for samples with and without supervision. To investigate whether missing data occurs more in a particular item or set of related items we fitted regression models with individual OHIP items and the OHRQoL dimensions as indicator variables. We also investigated age, gender, and OHRQoL level as predictor variables for missing OHIP items. We found very low levels of missingness across individual OHIP items and set of related items, and there was no particular item or set of related items that was associated with more missing data. Also, more missing data did not depend on whether the participants answered more questions. In studies without supervision, older persons and females were 5.47 and 2.66 times more likely to have missing items than younger persons and females. However, in studies with supervision, older persons, and participants with more OHRQoL impairment were 1.70 and 2.65 times more likely to have missing items. The study participants from general and dental patient populations did not find OHIP-49 burdensome. OHIP item missingness did not depend on a particular OHIP item or set of related items, or if the study participants responded to a greater number of OHIP items. We did not find a consistent pattern of the influence of sociodemographic and OHRQoL magnitude information on OHIP missingness. The amount of missing OHIP information was low making any potential influence likely small in magnitude.
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发表时间: 2015
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