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首页> 外文期刊>Journal of Diabetes Science and Technology >Gender Differences in Diabetes Self-Management: A Mixed-Methods Analysis of a Mobile Health Intervention for Inner-City Latino Patients
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Gender Differences in Diabetes Self-Management: A Mixed-Methods Analysis of a Mobile Health Intervention for Inner-City Latino Patients

机译:糖尿病自我管理中的性别差异:内城区拉丁裔患者移动健康干预的混合方法分析

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Background: The benefit of mobile health (mHealth) on diabetes management among low-income, inner-city patients is largely unknown, particularly for Latino patients. TExT-MED (Trial to Examine Text Message for Emergency Department Patients with Diabetes) is a text message-based program designed to improve disease knowledge, self-efficacy, and glycemic control among low-income, inner-city Latinos. In phase I, 23 patients participated in an acceptability and feasibility study. Contrary to our model, there was no increase in knowledge despite increases in self-efficacy and healthy behaviors. In phase II, we performed a mixed-methods analysis to understand how TExT-MED achieved these seemingly contradictory findings. Method: We performed a qualitative analysis of focus groups with patients from phase I. We explored patients' receipt of health information from TExT-MED and other information sources. We used these qualitative findings to perform a mixed-methods analysis of the outcomes from phase I, reanalyzing the quantitative measures of self-efficacy, diabetes knowledge, and healthy behaviors. Results: We conducted two focus groups, one in English and one in Spanish. Through qualitative analysis, we found gender differences in information sources, dietary self-efficacy, and desired educational content. Applying this knowledge, we re-stratified phase I outcomes by gender and found differential changes in diabetes knowledge, self-efficacy, and behaviors. Men had increased self-efficacy while women showed increased knowledge. Conclusions: The efficacy of mHealth on diabetes management was affected by gender. Specifically, men and women differ in their dietary self-efficacy, information sources, and desired topics in future mHealth interventions. To achieve maximal impact, future mHealth interventions should be mindful of this gender difference.
机译:背景:在低收入,城市居民中,移动医疗(mHealth)对糖尿病管理的益处在很大程度上尚不清楚,尤其是对于拉丁裔患者。 TExT-MED(针对糖尿病急诊患者的文本消息测试)是一项基于文本消息的程序,旨在提高低收入,内城区拉丁裔患者的疾病知识,自我效能感和血糖控制。在第一阶段,有23名患者参加了可接受性和可行性研究。与我们的模型相反,尽管自我效能和健康行为有所增加,但知识却没有增加。在第二阶段,我们进行了混合方法分析,以了解TExT-MED如何实现这些看似矛盾的发现。方法:我们对第一阶段患者的焦点小组进行了定性分析。我们研究了患者从TExT-MED和其他信息来源获得的健康信息。我们使用这些定性研究结果对第一阶段的结果进行了混合方法分析,重新分析了自我效能,糖尿病知识和健康行为的定量测量。结果:我们进行了两个焦点小组讨论,一个小组用英语,一个小组用西班牙语。通过定性分析,我们发现信息来源,饮食自我效能和所需的教育内容方面存在性别差异。应用这些知识,我们按性别对第一阶段的结果进行了分层,并发现了糖尿病知识,自我效能和行为方面的差异。男人的自我效能提高了,而女人则表现出了更多的知识。结论:移动健康对糖尿病管理的有效性受到性别的影响。具体而言,男人和女人的饮食自我效能,信息来源以及未来的mHealth干预措施中所需的主题都不同。为了获得最大的影响,未来的mHealth干预措施应注意这种性别差异。

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