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Relative Influence of Antibiotic Therapy Attributes on Physician Choice in Treating Acute Uncomplicated Pyelonephritis

Author

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  • Jessina C. McGregor

    (Department of Epidemiology and Preventive Medicine, University of Maryland, Baltimore, mcgregoj@ohsu.edu)

  • Anthony D. Harris

    (Department of Epidemiology and Preventive Medicine, University of Maryland, Baltimore)

  • Jon P. Furuno

    (Department of Epidemiology and Preventive Medicine, University of Maryland, Baltimore)

  • Douglas D. Bradham

    (Department of Epidemiology and Preventive Medicine, University of Maryland, Baltimore, VA Maryland Healthcare System, Baltimore)

  • Eli N. Perencevich

    (Department of Epidemiology and Preventive Medicine, University of Maryland, Baltimore, VA Maryland Healthcare System, Baltimore)

Abstract

Background. Reducing excess duration of antibiotic therapy is a strategy for limiting the spread of antibiotic resistance, but altering physician practice to accomplish this requires knowledge of the factors that influence physician antibiotic choice. The authors aimed to quantify physician willingness to trade between 4 attributes of antibiotic therapies: different therapy durations, failure rates, dosing frequencies, and days of diarrhea as a side effect when treating acute uncomplicated pyelonephritis. Methods. The authors distributed conjoint analysis questionnaires to physicians enrolling patients in a randomized trial comparing 2 antibiotics in pyelonephritis treatment. For each question, respondents were required to select 1 of 2 antibiotics based on the values of the 4 attributes. Proportional hazards regression was used to model predictors of physician choice. Results. Eighty-seven of 88 physicians completed the questionnaire. Duration of therapy, days of diarrhea, and failure rate were significant predictors of choice (P

Suggested Citation

  • Jessina C. McGregor & Anthony D. Harris & Jon P. Furuno & Douglas D. Bradham & Eli N. Perencevich, 2007. "Relative Influence of Antibiotic Therapy Attributes on Physician Choice in Treating Acute Uncomplicated Pyelonephritis," Medical Decision Making, , vol. 27(4), pages 387-394, July.
    • Handle: RePEc:sae:medema:v:27:y:2007:i:4:p:387-394
    DOI: 10.1177/0272989X07302556
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    References listed on IDEAS

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    1. Ryan, Mandy, 1999. "Using conjoint analysis to take account of patient preferences and go beyond health outcomes: an application to in vitro fertilisation," Social Science & Medicine, Elsevier, vol. 48(4), pages 535-546, February.
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    1. Alessandro Mengoni & Chiara Seghieri & Sabina Nuti, 2013. "The application of discrete choice experiments in health economics: a systematic review of the literature," Working Papers 201301, Scuola Superiore Sant'Anna of Pisa, Istituto di Management.
    2. Charles Cunningham & Ken Deal & Heather Rimas & Heather Campbell & Ann Russell & Jennifer Henderson & Anne Matheson & Blake Melnick, 2008. "Using Conjoint Analysis to Model the Preferences of Different Patient Segments for Attributes of Patient-Centered Care," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 1(4), pages 317-330, October.

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