Spinal cord injury

Fox, Rik

doi:10.1017/cbo9780511977558.025

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…Recently, the older adults who use the Internet as a source of health information have been increasing. About 69% of the population over age 65 report online HISBs [52,53]. The number will continue to increase, since the majority of online health information seekers are adults between 40 and 59 years old [53,54].…”

Section: Discussionmentioning

confidence: 99%

Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study

Lee¹,

Boden‐Albala²,

Larson³

et al. 2014

J Med Internet Res

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BackgroundThe emergence of the Internet has increased access to health information and can facilitate active individual engagement in health care decision making. Hispanics are the fastest-growing minority group in the United States and are also the most underserved in terms of access to online health information. A growing body of literature has examined correlates of online health information seeking behaviors (HISBs), but few studies have included Hispanics.ObjectiveThe specific aim of this descriptive, correlational study was to examine factors associated with HISBs of Hispanics.MethodsThe study sample (N=4070) was recruited from five postal zip codes in northern Manhattan for the Washington Heights Inwood Informatics Infrastructure for Comparative Effectiveness Research project. Survey data were collected via interview by bilingual community health workers in a community center, households, and other community settings. Data were analyzed using bivariate analyses and logistic regression.ResultsAmong individual respondents, online HISBs were significantly associated with higher education (OR 3.03, 95% CI 2.15-4.29, P<.001), worse health status (OR 0.42, 95% CI 0.31-0.57, P<.001), and having no hypertension (OR 0.60, 95% CI 0.43-0.84, P=.003). Online HISBs of other household members were significantly associated with respondent factors: female gender (OR 1.60, 95% CI 1.22-2.10, P=.001), being younger (OR 0.75, 95% CI 0.62-0.90, P=.002), being married (OR 1.36, 95% CI 1.09-1.71, P=.007), having higher education (OR 1.80, 95% CI 1.404-2.316, P<.001), being in worse health (OR 0.59, 95% CI 0.46-0.77, P<.001), and having serious health problems increased the odds of their household members’ online HISBs (OR 1.83, 95% CI 1.29-2.60, P=.001).ConclusionsThis large-scale community survey identified factors associated with online HISBs among Hispanics that merit closer examination. To enhance online HISBs among Hispanics, health care providers and policy makers need to understand the cultural context of the Hispanic population. Results of this study can provide a foundation for the development of informatics-based interventions to improve the health of Hispanics in the United States.

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Section: Discussionmentioning

confidence: 99%

Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study

Lee¹,

Boden‐Albala²,

Larson³

et al. 2014

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…Today, the Web is a major source of information worldwide and the use of popular search engines to seek health information is commonly practiced by Internet users. In 2011, 80% of Internet users in the United States used the Web to search for health information (Fox, 2011).…”

Section: Introductionmentioning

confidence: 99%

Identification and Classification of Health Queries

Lopes

Ribeiro

2014

International Journal of Healthcare Information Systems and Informatics

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Identifying the user's intent behind a query is a key challenge in Information Retrieval. This information may be used to contextualize the search and provide better search results to the user. The automatic identification of queries targeting a search for health information allows the implementation of retrieval strategies specifically focused on the health domain. In this paper, two kinds of automatic methods to identify and classify health queries based on domain-specific terminology are proposed. Besides evaluating these methods, we compare them with a method that is based on co-occurrence statistics of query terms with the word "health". Although the best overall result was achieved with a variant of the co-occurrence method, the method based on domain-specific frequencies that generates a continuous output outperformed most of the other methods. Moreover, this method also allows the association of queries to the semantic tree of the Unified Medical Language System and thereafter their classification into appropriate subcategories.

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Spinal cord injury

Cited by 2 publications

References 28 publications

Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study

Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study

Identification and Classification of Health Queries

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