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Mobile Health Technology Knowledge and Practices Among Patients of Safety-Net Health Systems in Washington State and Washington, DC

机译:华盛顿州和华盛顿特区安全网医疗系统患者中的移动医疗技术知识和实践

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Purpose: Mobile health technology (mHealth) can reduce health disparities, but research on the health behaviors of low-income patients is needed. This study evaluates mHealth knowledge and practices of low-resource safety-net patients. Methods: We administered a 47-item questionnaire to 164 low-income patients accessing services at community health centers in the state of Washington and Washington, DC. Predictor variables included demographic factors: age, race, ethnicity, income. Outcome variables were smartphone knowledge (smartphones as a wellness tool), medical app knowledge (availability of medical-based apps), smartphone practices (ever used smartphones for wellness), health apps practices (ever used health-based apps), and medical apps practices (ever used medical-based apps). Multivariate logistic regression assessed relationships between predictor and outcome variables. Results: Mean age was 35.2 years (median: 34), and study cohort (N = 159) consisted of mostly women (68%), white race (36%), and income of < $20,000/year (63%). Outcomes: 71% and 58% reported knowledge of using smartphones for wellness and knowledge of medical apps, respectively; 76% used smartphones for wellness, with adults 50+ years of age significantly less likely than younger adults (odds ratio [OR]: 0.94, 95% confidence interval [CI]: 0.88–0.99); 48% used health apps, with adults 50+ years of age less likely than younger adults (OR: 0.95, 95% CI: 0.91–0.99) and respondents earning < $20,000/year less likely than higher earners (OR: 3.13, 95% CI: 1.02–9.57); and 58% used medical apps, with Hispanics/Latinos significantly more likely than non-Hispanics/Latinos (OR: 6.38, 95% CI: 1.04–39.02). Conclusions: Safety-net patients use mobile devices for health promotion. Age and income are important predictive factors, suggesting a more tailored design of the technology is required for broad engagement and health equity.
机译:目的:移动健康技术(mHealth)可以减少健康差异,但是需要研究低收入患者的健康行为。这项研究评估了低资源安全网患者的移动健康知识和实践。方法:我们向164位在华盛顿州和华盛顿特区社区卫生中心接受服务的低收入患者发放了47项问卷。预测变量包括人口统计因素:年龄,种族,种族,收入。结果变量包括智能手机知识(作为健康工具的智能手机),医疗应用知识(基于医疗应用的可用性),智能手机实践(曾经使用过的智能手机进行保健),健康应用实践(曾经使用过基于健康的应用)和医疗应用实践(曾经使用过的基于医疗的应用)。多元逻辑回归评估了预测变量和结果变量之间的关系。结果:平均年龄为35.2岁(中位数:34),研究队列(N = 159)主要由女性(68%),白人(36%)和年收入低于$ 20,000 /年(63%)组成。结果:分别有71%和58%的人报告了使用智能手机进行保健的知识和医疗应用程序的知识; 76%的人使用智能手机养生,与50岁以上的成年人相比,使用智能手机的可能性大大低于年轻人(优势比[OR]:0.94,95%置信区间[CI]:0.88-0.99); 48%使用过健康应用,年龄在50岁以上的成年人比年轻成年人(OR:0.95,95%CI:0.91-0.99)少,年收入低于$ 20,000的受访者比收入较高的人(OR:3.13,95% CI:1.02-9.57); 58%的用户使用了医疗应用程序,其中西班牙裔/拉丁美洲人的可能性明显高于非西班牙裔/拉丁美洲人(OR:6.38,95%CI:1.04-39.02)。结论:安全网患者使用移动设备促进健康。年龄和收入是重要的预测因素,这表明要广泛参与和实现健康公平,就需要对技术进行更个性化的设计。

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