Toward a Multilevel E-Health Engagement Model: Analyzing Trend for Immigrants’ E-Health Engagement From 2008 to 2013

Xinyan Zhao; Bo Yang; Chau Wai Wong

Toward a Multilevel E-Health Engagement Model: Analyzing Trend for Immigrants’ E-Health Engagement From 2008 to 2013

Xinyan Zhao
, Bo Yang
, Chau Wai Wong

Department of Communication Studies

Research output: Contribution to conference › Conference paper › peer-review

Abstract

Our study proposes a Multilevel E-health Engagement Model (MEEM), an overarching theoretical framework guiding our trend analysis of immigrants’ e-health engagement over time. MEEM emphasizes consumers’ engagement with e-health tools on multiple levels (i.e., individual-, interpersonal-, and community-levels) and the influence of salient contextual characteristics (i.e., cultural context) on immigrant subgroups’ e-health engagement over time. Using three iterations of Health Information National Trends Survey (HINTS) conducted between 2008 and 2013, our results showed that U.S. immigrants engaged with individual-level and interpersonal-level e-health tools, mainly for the purpose of health information seeking and tracking and doctor-patient communication. Furthermore, by using two cultural proxy variables (race/ethnicity and length of residence), our results demonstrated the distinctive e-health engagement patterns for different immigrant subgroups.

Original language	English
Publication status	Published - 29 May 2017
Event	The 67th Annual International Communication Association Annual Conference, ICA 2017: Interventions. Communication Research and Practice - Hilton San Diego Bayfront Hotel, San Diego, CA, United States Duration: 25 May 2017 → 29 May 2017 https://convention2.allacademic.com/one/ica/ica17/ (Link to conference programme)

Conference

Conference	The 67th Annual International Communication Association Annual Conference, ICA 2017
Country/Territory	United States
City	San Diego, CA
Period	25/05/17 → 29/05/17
Internet address	https://convention2.allacademic.com/one/ica/ica17/ (Link to conference programme)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@conference{ae99ace42cde4db1891a58ae770c881e,

title = "Toward a Multilevel E-Health Engagement Model: Analyzing Trend for Immigrants{\textquoteright} E-Health Engagement From 2008 to 2013",

abstract = "Our study proposes a Multilevel E-health Engagement Model (MEEM), an overarching theoretical framework guiding our trend analysis of immigrants{\textquoteright} e-health engagement over time. MEEM emphasizes consumers{\textquoteright} engagement with e-health tools on multiple levels (i.e., individual-, interpersonal-, and community-levels) and the influence of salient contextual characteristics (i.e., cultural context) on immigrant subgroups{\textquoteright} e-health engagement over time. Using three iterations of Health Information National Trends Survey (HINTS) conducted between 2008 and 2013, our results showed that U.S. immigrants engaged with individual-level and interpersonal-level e-health tools, mainly for the purpose of health information seeking and tracking and doctor-patient communication. Furthermore, by using two cultural proxy variables (race/ethnicity and length of residence), our results demonstrated the distinctive e-health engagement patterns for different immigrant subgroups.",

author = "Xinyan Zhao and Bo Yang and Wong, \{Chau Wai\}",

year = "2017",

month = may,

day = "29",

language = "English",

note = "The 67th Annual International Communication Association Annual Conference, ICA 2017 : Interventions. Communication Research and Practice ; Conference date: 25-05-2017 Through 29-05-2017",

url = "https://convention2.allacademic.com/one/ica/ica17/",

}

Toward a Multilevel E-Health Engagement Model: Analyzing Trend for Immigrants’ E-Health Engagement From 2008 to 2013. / Zhao, Xinyan; Yang, Bo; Wong, Chau Wai.
2017. Paper presented at The 67th Annual International Communication Association Annual Conference, ICA 2017, San Diego, CA, California, United States.

Research output: Contribution to conference › Conference paper › peer-review

TY - CONF

T1 - Toward a Multilevel E-Health Engagement Model

T2 - The 67th Annual International Communication Association Annual Conference, ICA 2017

AU - Zhao, Xinyan

AU - Yang, Bo

AU - Wong, Chau Wai

PY - 2017/5/29

Y1 - 2017/5/29

N2 - Our study proposes a Multilevel E-health Engagement Model (MEEM), an overarching theoretical framework guiding our trend analysis of immigrants’ e-health engagement over time. MEEM emphasizes consumers’ engagement with e-health tools on multiple levels (i.e., individual-, interpersonal-, and community-levels) and the influence of salient contextual characteristics (i.e., cultural context) on immigrant subgroups’ e-health engagement over time. Using three iterations of Health Information National Trends Survey (HINTS) conducted between 2008 and 2013, our results showed that U.S. immigrants engaged with individual-level and interpersonal-level e-health tools, mainly for the purpose of health information seeking and tracking and doctor-patient communication. Furthermore, by using two cultural proxy variables (race/ethnicity and length of residence), our results demonstrated the distinctive e-health engagement patterns for different immigrant subgroups.

AB - Our study proposes a Multilevel E-health Engagement Model (MEEM), an overarching theoretical framework guiding our trend analysis of immigrants’ e-health engagement over time. MEEM emphasizes consumers’ engagement with e-health tools on multiple levels (i.e., individual-, interpersonal-, and community-levels) and the influence of salient contextual characteristics (i.e., cultural context) on immigrant subgroups’ e-health engagement over time. Using three iterations of Health Information National Trends Survey (HINTS) conducted between 2008 and 2013, our results showed that U.S. immigrants engaged with individual-level and interpersonal-level e-health tools, mainly for the purpose of health information seeking and tracking and doctor-patient communication. Furthermore, by using two cultural proxy variables (race/ethnicity and length of residence), our results demonstrated the distinctive e-health engagement patterns for different immigrant subgroups.

UR - http://tinyurl.com/zjuvzx3

M3 - Conference paper

Y2 - 25 May 2017 through 29 May 2017

ER -

Toward a Multilevel E-Health Engagement Model: Analyzing Trend for Immigrants’ E-Health Engagement From 2008 to 2013

Abstract

Conference

UN SDGs

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