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单项健康素养问题、年龄和教育水平对低健康数字素养预测的评估。

Assessment of single-item literacy questions, age, and education level in the prediction of low health numeracy.

作者信息

Johnson Tim V, Abbasi Ammara, Kleris Renee S, Ehrlich Samantha S, Barthwaite Echo, DeLong Jennifer, Master Viraj A

机构信息

Wills Eye Institute, Philadelphia, Pennsylvania, USA.

出版信息

JAAPA. 2013 Aug;26(8):50-4. doi: 10.1097/01.jaa.0000432569.21689.62.

DOI:10.1097/01.jaa.0000432569.21689.62
PMID:24049941
Abstract

OBJECTIVE

Determining a patient's health literacy is important to optimum patient care. Single-item questions exist for screening written health literacy. We sought to assess the predictive potential of three common screening questions, along with patient age and education level, in the prediction of low health numerical literacy (numeracy).

METHODS

After demographic and educational information was obtained, 441 patients were administered three health literacy screening questions. The three-item Schwartz-Woloshin Numeracy Scale was then administered to assess for low health numeracy (score of 0 out of 3). This score served as the reference standard for Receiver Operating Characteristics (ROC) curve analysis. ROC curves were constructed and used to determine the area under the curve (AUC); a higher AUC suggests increased statistical significance.

RESULTS

None of the three screening questions were significant predictors of low health numeracy. However, education level was a significant predictor of low health numeracy, with an AUC (95% CI) of 0.811 (0.720-0.902). This measure had a specificity of 95.3% at the cutoff of 12 years of education (<12 versus > or = 12 years of education) but was non-sensitive.

CONCLUSION

Common single-item questions used to screen for written health literacy are ineffective screening tools for health numeracy. However, low education level is a specific predictor of low health numeracy.

摘要

目的

确定患者的健康素养对于实现最佳患者护理至关重要。存在用于筛查书面健康素养的单项问题。我们试图评估三个常见筛查问题以及患者年龄和教育水平在预测低健康数字素养(算术能力)方面的预测潜力。

方法

在获取人口统计学和教育信息后,对441名患者进行了三个健康素养筛查问题的测试。然后采用三项施瓦茨 - 沃洛欣算术量表来评估低健康算术能力(满分3分,得分为0分)。该分数用作受试者工作特征(ROC)曲线分析的参考标准。构建ROC曲线并用于确定曲线下面积(AUC);较高的AUC表明统计学意义增加。

结果

三个筛查问题均不是低健康算术能力的显著预测指标。然而,教育水平是低健康算术能力的显著预测指标,AUC(95%可信区间)为0.811(0.720 - 0.902)。在教育年限为12年的临界值时(教育年限<12年与≥12年),该指标的特异性为95.3%,但不敏感。

结论

用于筛查书面健康素养的常见单项问题是健康算术能力无效的筛查工具。然而,低教育水平是低健康算术能力的一个特异性预测指标。

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