移动医疗可以改善服务不足人群的风险评估吗?乳房健康问卷应用程序在不同种族、年龄较大、低收入妇女中的可接受性

Carolina Bravo, Cristina O'Donoghue, Celia P Kaplan, Judith Luce, Elissa Ozanne
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引用次数: 0

摘要

背景:移动医疗(mHealth)工具的使用迅速扩大,但对低收入、多样化、老年患者群体的可接受性进行的研究很少。目的:通过在公立医院乳房x光检查诊所使用乳房健康问卷应用程序(app),评估不同群体缺乏医疗服务的妇女对临床环境中移动医疗工具的可接受性和可用性的态度。方法:2012年7 - 8月在某城市社会保障机构乳腺影像中心进行半结构式访谈。访谈包括前问和后问。女性在iPad上完成了雅典娜乳房健康问卷应用程序,并被问及她们的体验和改进该工具的方法。结果:访谈了15名年龄在45-79岁之间的不同种族和教育背景的女性。15名女性中有11名更喜欢雅典娜应用程序,而不是纸质版本,所有女性都认为该应用程序易于使用。两名说西班牙语的拉丁裔偏爱论文;而两名使用手机有限的女性则没有偏好。许多女性表示,如果要实施这款应用,有必要让工作人员提供指导和帮助。结论:移动健康工具是一种可接受的,如果不是首选的,收集健康信息的不同,老年,低收入妇女的方法。需要进一步的研究来评估在服务不足的人群中使用移动健康工具收集数据的可靠性和准确性。移动医疗工具应作为一种新颖的方式加以探索,使不同人群参与进来,改善临床护理,弥合健康差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Can mHealth Improve Risk Assessment in Underserved Populations? Acceptability of a Breast Health Questionnaire App in Ethnically Diverse, Older, Low-Income Women.

Can mHealth Improve Risk Assessment in Underserved Populations? Acceptability of a Breast Health Questionnaire App in Ethnically Diverse, Older, Low-Income Women.

Background: Use of mobile health (mHealth) tools has expanded rapidly but little research has been done on its acceptability by low-income, diverse, older patient populations.

Objective: To assess the attitudes of a diverse group of underserved women on the acceptability and usability of mHealth tools in a clinical setting using a breast health questionnaire application (app) at a public hospital mammography clinic.

Methods: Semi-structured interviews were conducted in a breast-imaging center of an urban safety net institution from July-August 2012. Interviews included pre- and post-questions. Women completed the Athena breast health questionnaire app on an iPad and were asked about their experience and ways to improve the tool.

Results: Fifteen women age 45-79 years from diverse ethnic and educational backgrounds were interviewed. The majority of women, 11 of 15, preferred the Athena app over a paper version and all the women thought the app was easy to use. Two Spanish-speaking Latinas preferred paper; and two women, with limited mobile phone use, did not have a preference. Many women indicated that it would be necessary to have staff available for instruction and assistance if the app were to be implemented.

Conclusions: mHealth tools are an acceptable, if not preferred, method of collecting health information for diverse, older, low-income women. Further studies are required to evaluate the reliability and accuracy of data collection using mHealth tools in underserved populations. mHealth tools should be explored as a novel way to engage diverse populations to improve clinical care and bridge gaps in health disparities.

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