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Consumers’ expected information search behavior for a pharmaceutical treatment

Affiliation
Division of Pharmacy Practice and Administration ,University of Missouri – Kansas City School of Pharmacy ,Kansas City ,MO ,United States
Liu, Yifei;
Affiliation
Osher Life Long Learning Institute ,The University of Arizona ,Tucson ,AZ ,United States
Fincham, Jack E.;
Affiliation
Division of Pharmacy Practice and Administration ,University of Missouri – Kansas City School of Pharmacy ,Kansas City ,MO ,United States
Sperry, Morgan L.

Objective The Comprehensive Model of Information Seeking (CMIS) integrates multiple factors influencing information seeking. This study was to identify factors impacting consumers’ expected information search behavior for a pharmaceutical treatment. By examining the predictive utility of these factors, the CMIS could be improved in the context of health information search. Methods A telephone interview was administered to a random-digit-dialed sample of 2,186 adult residents in a southern U.S. state. Measurements included expected information search for a pharmaceutical treatment within the next 2 weeks, self-rated health (SRH), extraversion, and demographics. SRH was measured on a 4-point scale (Excellent-4, Poor-1), with higher scores indicating better subjective health. A logistic regression was conducted, in which the outcome variable was the expected information search for a pharmaceutical treatment, and covariates were SRH, extraversion, and demographics. Results A total of 505 individuals participated. On average, they were 57 years old, and 61% of them were female. Fourteen percent of them expected to seek information for a pharmaceutical treatment. The logistic regression was significant (p < 0.01). SRH was a significant negative predictor (p < 0.05) and gender (female) was a significant positive predictor for the expected information-seeking behavior (p < 0.05). Conclusion Consumers with lower SRH and women were more likely to perform expected information search for a pharmaceutical treatment. These findings have implications for both the modification of the CMIS and the provision of healthcare interventions.

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License Holder: Copyright © 2025 Liu, Fincham and Sperry.

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