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评估工具和无应答偏差导致有限健康素养估计值的差异。

Variation in estimates of limited health literacy by assessment instruments and non-response bias.

机构信息

Center for Chronic Disease Outcomes Research, Minneapolis VA Medical Center, Minneapolis, MN 55417, USA.

出版信息

J Gen Intern Med. 2010 Jul;25(7):675-81. doi: 10.1007/s11606-010-1304-2. Epub 2010 Mar 12.

Abstract

OBJECTIVES

This paper compares estimates of poor health literacy using two widely used assessment tools and assesses the effect of non-response on these estimates.

STUDY DESIGN AND SETTING

A total of 4,868 veterans receiving care at four VA medical facilities between 2004 and 2005 were stratified by age and facility and randomly selected for recruitment. Interviewers collected demographic information and conducted assessments of health literacy (both REALM and S-TOFHLA) from 1,796 participants. Prevalence estimates for each assessment were computed. Non-respondents received a brief proxy questionnaire with demographic and self-report literacy questions to assess non-response bias. Available administrative data for non-participants were also used to assess non-response bias.

RESULTS

Among the 1,796 patients assessed using the S-TOFHLA, 8% had inadequate and 7% had marginal skills. For the REALM, 4% were categorized with 6th grade skills and 17% with 7-8th grade skills. Adjusting for non-response bias increased the S-TOFHLA prevalence estimates for inadequate and marginal skills to 9.3% and 11.8%, respectively, and the REALM estimates for < or = 6th and 7-8th grade skills to 5.4% and 33.8%, respectively.

CONCLUSIONS

Estimates of poor health literacy varied by the assessment used, especially after adjusting for non-response bias. Researchers and clinicians should consider the possible limitations of each assessment when considering the most suitable tool for their purposes.

摘要

目的

本文比较了两种广泛使用的评估工具对健康素养低的评估结果,并评估了无应答对这些评估结果的影响。

研究设计与地点

共有 4868 名在 2004 年至 2005 年间在四家 VA 医疗设施接受治疗的退伍军人按照年龄和设施分层,然后随机选择进行招募。调查员从 1796 名参与者中收集人口统计学信息并进行健康素养评估(REALM 和 S-TOFHLA)。计算了每种评估的患病率估计值。未应答者收到了一份简短的代理问卷,其中包含人口统计学和自我报告的读写能力问题,以评估无应答偏倚。还使用了可供非参与者使用的可用管理数据来评估无应答偏倚。

结果

在使用 S-TOFHLA 评估的 1796 名患者中,有 8%的人技能不足,有 7%的人技能较差。对于 REALM,有 4%的人被归类为具有 6 年级技能,有 17%的人具有 7-8 年级技能。调整无应答偏倚后,S-TOFHLA 对技能不足和较差的患病率估计值分别增加到 9.3%和 11.8%,REALM 对 <或= 6 年级和 7-8 年级技能的估计值分别增加到 5.4%和 33.8%。

结论

使用不同的评估方法,健康素养低的估计值也不同,尤其是在调整了无应答偏倚后。研究人员和临床医生在考虑最适合其目的的工具时,应考虑每种评估方法的可能局限性。

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