Parental attitudes regarding analgesic use for children: differences in ethnicity and language.

来自 PUBMED

作者:

Fortier MAMartin SRKain DITan ET

展开

摘要:

The aim of this study was to identify the impact of ethnicity and language on parental attitudes regarding analgesic use to treat children's pain. A total of 206 parents of children undergoing outpatient surgery were recruited to complete the Medication Attitudes Questionnaire, a measure of parental beliefs about using analgesic medications to treat children's pain. Parents were grouped into one of 3 categories according to ethnicity and primary language spoken: English-speaking white, English-speaking Hispanic, and Spanish-speaking Hispanic. Group differences in pain medication attitudes were examined. After controlling for socioeconomic status, English-speaking Hispanic parents endorsed higher levels of misconceptions about pain medication use, including a tendency to avoid analgesic use for children, compared with English-speaking white and Spanish-speaking Hispanic parents. This study highlights parental characteristics, including ethnicity and language, which may place children at higher risk for undertreatment of acute pain based on misconceptions about analgesic use for children. Specifically, English-speaking Hispanic parents may be most likely to undertreat children's pain at home. Future studies are needed to identify the most appropriate means of providing education to counter parental misconceptions and support optimal pain management of children's pain in the home setting.

收起

展开

DOI:

10.1016/j.jpedsurg.2011.06.021

被引量:

7

年份:

2011

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(216)

参考文献(0)

引证文献(7)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读