The roles of low literacy and social support in predicting the preventability of hospital admission View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-02

AUTHORS

Ahsan M. Arozullah, Shoou-Yih D. Lee, Taha Khan, Sindhu Kurup, Jeffrey Ryan, Michael Bonner, Robert Soltysik, Paul R. Yarnold

ABSTRACT

BACKGROUND: Prior studies found higher hospitalization rates among patients with low literacy, but did not determine the preventability of these admissions or consider other determinants of hospitalization, such as social support. This study evaluated whether low literacy was a predictor for preventability of hospitalization when considered in the context of social support, sociodemographics, health status, and risk behaviors. METHODS: A convenience sample of 400 patients, admitted to general medicine wards in a university-affiliated Veterans Affairs hospital between August 1, 2001 and April 1, 2003, completed a face-to-face interview to assess literacy, sociodemographics, social support, health status, and risk behaviors. Two Board-certified Internists independently assessed preventability of hospitalization and determined the primary preventable cause through blinded medical chart reviews. RESULTS: Neither low literacy ( or =12 people talked to weekly (P<.023). Among nonbinge drinkers with lower social support for medical care, larger social networks were predictive of preventability of hospitalization. Among nonbinge drinkers with higher support for medical care, lower outpatient utilization was predictive of the preventability of hospitalization. CONCLUSIONS: While low literacy was not predictive of admission preventability, the formal assessment of alcohol binge drinking, social support for medical care, social network size, and prior outpatient utilization may enhance our ability to predict the preventability of hospitalizations and develop targeted interventions. More... »

PAGES

140-145

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11606-006-0248-z

    DOI

    http://dx.doi.org/10.1007/s11606-006-0248-z

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1047677084

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/16336616


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    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11606-006-0248-z'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11606-006-0248-z'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11606-006-0248-z'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11606-006-0248-z'


     

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