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首页> 外文期刊>Journal of medical systems >Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults
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Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults

机译:使用移动健康应用程序在美国成年人中寻求健康行为

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This study explores the use of mobile health applications (mHealth apps) on smartphones or tablets for health-seeking behavior among US adults. Data was obtained from cycle 4 of the 4th edition of the Health Information National Trends Survey (HINTS 4). Weighted multivariate logistic regression models examined predictors of 1) having mHealth apps, 2) usefulness of mHealth apps in achieving health behavior goals, 3) helpfulness in medical care decision-making, and 4) asking a physician new questions or seeking a second opinion. Using the Andersen Model of health services utilization, independent variables of interest were grouped under predisposing factors (age, gender, race, ethnicity, and marital status), enabling factors (education, employment, income, regular provider, health insurance, and rural/urban location of residence), and need factors (general health, confidence in their ability to take care of health, Body Mass Index, smoking status, and number of comorbidities). In a national sample of adults who had smartphones or tablets, 36 % had mHealth apps on their devices. Among those with apps, 60 % reported the usefulness of mHealth apps in achieving health behavior goals, 35 % reported their helpfulness for medical care decision-making, and 38 % reported their usefulness in asking their physicians new questions or seeking a second opinion. The multivariate models revealed that respondents were more likely to have mHealth apps if they had more education, health insurance, were confident in their ability to take good care of themselves, or had comorbidities, and were less likely to have them if they were older, had higher income, or lived in rural areas. In terms of usefulness of mHealth apps, those who were older and had higher income were less likely to report their usefulness in achieving health behavior goals. Those who were older, African American, and had confidence in their ability to take care of their health were more likely to respond that the mHealth apps were helpful in making a medical care decision and asking their physicians new questions or for a second opinion. Potentially, mHealth apps may reduce the burden on primary care, reduce costs, and improve the quality of care. However, several personal-level factors were associated with having mHealth apps and their perceived helpfulness among their users, indicating a multidimensional digital divide in the population of US adults.
机译:这项研究探讨了在智能手机或平板电脑上使用移动健康应用程序(mHealth应用程序)来改善美国成年人的健康状况。数据来自《健康信息国家趋势调查》(HINTS 4)第四版的第4周期。加权多元逻辑回归模型检查了以下因素的预测因素:1)具有mHealth应用程序,2)mHealth应用程序在实现健康行为目标方面的实用性,3)在医疗保健决策方面的帮助以及4)向医生提出新问题或寻求第二意见。使用卫生服务利用的安德森模型,将兴趣的独立变量归类于易感性因素(年龄,性别,种族,族裔和婚姻状况),促成因素(教育,就业,收入,正规提供者,健康保险和农村/居住的城市位置)和需求因素(总体健康状况,对其健康保健能力的信心,体重指数,吸烟状况和合并症的数量)。在全国拥有智能手机或平板电脑的成年人中,有36%的人在其设备上使用了mHealth应用程序。在拥有应用程序的应用程序中,60%的人报告了mHealth应用程序对实现健康行为目标的有用性,35%的人报告了其对医疗决策的帮助,38%的人报告了其在向医生提出新问题或寻求第二意见时的有用性。多元模型显示,如果受教育程度较高,拥有健康保险,对自己有能力好好照顾自己或患有合并症的人充满信心,并且年龄较大,则不太可能拥有mHealth应用,有较高的收入,或居住在农村地区。在mHealth应用程序的实用性方面,年龄较大且收入较高的人不太可能报告其在实现健康行为目标方面的实用性。那些年龄较大,非裔美国人并对自己的健康护理能力充满信心的人更有可能回答说,mHealth应用程序有助于做出医疗决定,并向医生询问新问题或提出第二意见。 mHealth应用程序可能会减轻基层医疗的负担,降低成本并提高护理质量。但是,有几个个人层面的因素与拥有mHealth应用及其在用户中的感知帮助有关,这表明美国成年人口的多维数字鸿沟。

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