Yuri Jang1, Jungwon Yoon2, Nan Sook Park3. 1. a Steve Hicks School of Social Work , The University of Texas at Austin. 2. b School of Information , University of South Florida , Tampa , USA. 3. c School of Social Work , University of South Florida , Tampa , USA.
Abstract
BACKGROUND: 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). METHODS: 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.' RESULTS: 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. DISCUSSION: 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.
BACKGROUND: 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). METHODS: 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.' RESULTS: 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. DISCUSSION: 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.
Authors: Yuri Jang; Nan Sook Park; Hyunwoo Yoon; Ya-Ching Huang; Min-Kyoung Rhee; David A Chiriboga; Miyong T Kim Journal: Health Soc Care Community Date: 2017-06-15
Authors: Nadia S Islam; Shilpa Patel; Laura C Wyatt; Shao-Chee Sim; Runi Mukherjee-Ratnam; Kay Chun; Bhairavi Desai; S Darius Tandon; Chau Trinh-Shevrin; Henry Pollack; Simona C Kwon Journal: Health Commun Date: 2015-08-12
Authors: Dietmar Ausserhofer; Wolfgang Wiedermann; Ulrich Becker; Anna Vögele; Giuliano Piccoliori; Christian J Wiedermann; Adolf Engl Journal: Arch Public Health Date: 2022-03-21