Patient and physician predictors of patient receipt of therapies recommended by a computerized decision support system when initially prescribed broad-spectrum antibiotics: a cohort study | Zendy

Angela Chow | Zendy; David Chien Lye | Zendy; Onyebuchi A. Arah | Zendy

Open Access

Patient and physician predictors of patient receipt of therapies recommended by a computerized decision support system when initially prescribed broad-spectrum antibiotics: a cohort study

Author(s) -

Angela Chow,

David Chien Lye,

Onyebuchi A. Arah

Publication year - 2015

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocv120

Subject(s) - medicine , antibiotics , medical prescription , medical record , odds ratio , antimicrobial stewardship , pneumonia , emergency medicine , clinical decision support system , piperacillin/tazobactam , prospective cohort study , cohort , intensive care medicine , logistic regression , piperacillin , antibiotic resistance , health care , economics , pharmacology , biology , economic growth , genetics , pseudomonas aeruginosa , bacteria , microbiology and biotechnology

Antibiotic computerized decision support systems (CDSSs) were developed to guide antibiotic decisions, yet prescriptions of CDSS-recommended antibiotics have remained low. Our aim was to identify predictors of patients' receipt of empiric antibiotic therapies recommended by a CDSS when the prescribing physician had an initial preference for using broad-spectrum antibiotics.

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