a Steve Hicks School of Social Work , The University of Texas at Austin.
b School of Information , University of South Florida , Tampa , USA.
J Health Commun. 2018;23(7):652-660. doi: 10.1080/10810730.2018.1500660. Epub 2018 Aug 10.
Responding to the disparities in accessing and obtaining health information and healthcare among immigrant populations, the present study focused on Asian Americans. Using a sample that reflects Asian Americans' cultural and linguistic diversities, the goal was to explore the typologies of health information source and their predictability to unmet healthcare needs (i.e., the experience of not being able to get needed medical care).
Data were drawn from the 2015 Asian American Quality of Life Survey (N = 2,592), conducted using culturally and linguistically sensitive approaches. Latent class analysis on nine sources of health information across interpersonal networks (family members, close friends, acquaintances, and health professionals) and Internet-based communication technologies (mobile apps, email listservs, social networking sites, online communities, and health websites) identified six classes: 'resource-heavy,' 'human-oriented,' 'expertise-focused,' 'family-dominant,' 'resource-scarce,' and 'health professional-dominant.'
Compared to the resource-heavy group, the odds of having an unmet healthcare need were 2.94 times greater in the family-dominant group and 4.13 times greater in the resource-scarce group.
Findings provide implications for interventions with respect to subgroups to be prioritized and areas to be targeted in efforts to promote access and acquisition of health information and health services in Asian Americans.
为了解决移民群体在获取和获得健康信息和医疗保健方面的差距问题,本研究聚焦于亚裔美国人。本研究使用反映亚裔美国人文化和语言多样性的样本,旨在探索健康信息来源的类型及其对未满足的医疗需求(即无法获得所需医疗护理的体验)的可预测性。
数据来自 2015 年亚裔美国人生活质量调查(N=2592),采用文化和语言敏感的方法进行。对人际网络(家庭成员、亲密朋友、熟人以及医疗保健专业人员)和基于互联网的交流技术(移动应用程序、电子邮件列表、社交网络网站、在线社区和健康网站)中的九种健康信息来源进行潜在类别分析,确定了六个类别:资源丰富型、以人为中心型、注重专业知识型、以家庭为中心型、资源匮乏型和医疗保健专业人员主导型。
与资源丰富型群体相比,以家庭为中心型群体和资源匮乏型群体未满足医疗需求的可能性分别高出 2.94 倍和 4.13 倍。
研究结果为干预措施提供了启示,需要针对特定亚群体进行优先排序,并针对促进亚裔美国人获取健康信息和医疗服务的领域进行针对性干预。