Suppr超能文献

"Alexa,我怀孕了吗?":新冠疫情期间,对虚拟助手回答产前健康问题的内容分析。

"Alexa, Am I pregnant?": A content analysis of a virtual assistant's responses to prenatal health questions during the COVID-19 pandemic.

机构信息

Egan School of Nursing and Health Studies, Fairfield University, 1073 North Benson Road, Fairfield, CT, 06824-5195, USA.

出版信息

Patient Educ Couns. 2021 Mar;104(3):460-463. doi: 10.1016/j.pec.2020.12.026. Epub 2020 Dec 29.

Abstract

OBJECTIVE

To elucidate whether Amazon's virtual assistant, Alexa, provides evidence-based support as a supplement to provider-facilitated prenatal care, during the COVID-19 pandemic.

METHODS

Using a conceptual content analysis approach, a query of 40 questions, relating to all phases of pregnancy, was collected from Alexa by two independent investigators, using two unique devices, over a one-week period between May 20, 2020 and May 27, 2020. Alexa's responses were matched to the evidence-based content from the American College of Obstetricians and Gynecologists (ACOG) and reviewed by a Certified Nurse Midwife for completeness and currency.

RESULTS

Of the 40 questions asked of Alexa, it was unable to answer 14 questions (35%). A total of 21 out of the 40 responses (52%) were not evidence-based and three COVID-specific questions (about 1%) were answered incorrectly or insufficiently. Four questions (10%) were answered accurately.

CONCLUSION

Alexa was largely unable to provide evidence-based answers to commonly asked pregnancy questions and, in many cases, supplied inaccurate, incomplete, or completely unrelated answers that could further confuse health consumers.

PRACTICE IMPLICATIONS

Ensuring that mobile health (mhealth) tools, such as Amazon Alexa, are evidence-based and credible in answering common prenatal questions has important implications for this pandemic and future consumer needs.

摘要

目的

在 COVID-19 大流行期间,阐明亚马逊的虚拟助手 Alexa 是否可以作为提供医疗服务的补充,为提供者提供以证据为基础的支持。

方法

使用概念内容分析方法,两名独立调查员在 2020 年 5 月 20 日至 5 月 27 日的一周内,通过两个独特的设备,从 Alexa 中收集了 40 个与怀孕所有阶段相关的问题查询。Alexa 的回答与美国妇产科医师学会 (ACOG) 的循证内容相匹配,并由认证的注册助产士对其完整性和时效性进行审查。

结果

在向 Alexa 提出的 40 个问题中,有 14 个问题(35%)无法回答。40 个回答中有 21 个(52%)不是基于证据的,并且三个 COVID 特定问题(约 1%)回答错误或不充分。四个问题(10%)回答准确。

结论

Alexa 在很大程度上无法为常见的怀孕问题提供基于证据的答案,在许多情况下,提供了不准确、不完整或完全不相关的答案,这可能会进一步使医疗消费者感到困惑。

实践意义

确保移动健康(mhealth)工具,如亚马逊 Alexa,在回答常见的产前问题时具有基于证据和可信度,这对本次大流行和未来的消费者需求具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae58/7771908/64e9497edd44/gr1_lrg.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验