Socio-demographic differences in risk information seeking sources for non-steroidal anti-inflammatory drugs (NSAIDS).

Autor: Houser SH; University of Alabama at Birmingham, Department of Health Services Administration, Birmingham, AL, USA. Electronic address: shouser@uab.edu., Au DW; Valdosta State University, Department of Management and Healthcare Administration, Valdosta, GA, USA., Miller MJ; The University of Oklahoma School of Community Medicine, Department of Medical Informatics, Tulsa, OK, USA., Chen L; University of Alabama at Birmingham, Department of Medicine, Birmingham, AL, USA., Outman RC; University of Alabama at Birmingham, Department of Medicine, Birmingham, AL, USA., Ray MN; University of Alabama at Birmingham, Department of Health Services Administration, Birmingham, AL, USA., Saag KG; University of Alabama at Birmingham, Department of Medicine, Birmingham, AL, USA., Weech-Maldonado R; University of Alabama at Birmingham, Department of Health Services Administration, Birmingham, AL, USA.
Jazyk: angličtina
Zdroj: International journal of medical informatics [Int J Med Inform] 2016 Oct; Vol. 94, pp. 222-7. Date of Electronic Publication: 2016 Aug 01.
DOI: 10.1016/j.ijmedinf.2016.07.017
Abstrakt: Objectives: Non-steroidal anti-inflammatory drugs (NSAIDs) are frequently prescribed for musculoskeletal pain and inflammatory conditions. A better understanding of patient information seeking behavior can help bridge the gap between patient knowledge and health care resources. This study examines the primary sources of NSAID risk information and the associations with patient socio-demographic factors.
Methods: A cross-sectional survey analysis of patients on prescription NSAIDs (n=220) seen by primary care physicians in Alabama. Bivariate and multivariable, multinomial logistic regression analyses were conducted to evaluate the associations among primary NSAID risk information sources used with patient socio-demographic factors.
Results: The primary patient source of information on NSAID risks was physician (57.3%), followed by internet (16.8%), pharmacist (16.4%), and other sources, such as nurses and family/friends (9.6%). Compared to people who use the internet as a primary source of NSAID risk information, patients who were Black/African-American (p=0.002) and 65 years of age or older (p=0.009) were more likely to use a physician. Older patients were also more likely to use a pharmacist (p=0.008) than the internet. In contrast, females (p=0.032) were less likely to use the pharmacist compared to the internet (p=0.032).
Conclusions: Patients obtain information from a variety of sources, but primarily from health care providers. While the internet is a fast growing source of health information, socio-demographic disparities in internet use for seeking information exist. Health care providers should be aware of their patient preferences for information sources on medication risks to meet the age, race, and gender need differences of all patients.
(Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
Databáze: MEDLINE
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