Literature DB >> 17585004

Relative influence of antibiotic therapy attributes on physician choice in treating acute uncomplicated pyelonephritis.

Jessina C McGregor1, Anthony D Harris, Jon P Furuno, Douglas D Bradham, Eli N Perencevich.   

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 < 0.05), but dosing frequency (once daily v. twice daily) was not. Increasing days of diarrhea greatly reduced the probability of an antibiotic being chosen. If failure and side effects were equivalent, physicians were more likely to prescribe a 5- v. 10-day duration of therapy (odds ratio = 4.18, P < 0.01).
CONCLUSION: Antibiotic choice is most influenced by physicians' desires to limit treatment failure and side effects, although physicians were willing to accept increases in treatment failure to obtain reduced days of diarrhea as a side effect. Because shorter-course therapy is frequently associated with fewer side effects, efforts to encourage physicians to choose shorter treatment durations should include mention of reduced treatment-associated side effects.

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Year:  2007        PMID: 17585004     DOI: 10.1177/0272989X07302556

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  4 in total

1.  Using conjoint analysis to model the preferences of different patient segments for attributes of patient-centered care.

Authors:  Charles E Cunningham; Ken Deal; Heather Rimas; Heather Campbell; Ann Russell; Jennifer Henderson; Anne Matheson; Blake Melnick
Journal:  Patient       Date:  2008-12-01       Impact factor: 3.883

2.  Targeted surveillance of methicillin-resistant Staphylococcus aureus and its potential use to guide empiric antibiotic therapy.

Authors:  Anthony D Harris; Jon P Furuno; Mary-Claire Roghmann; Jennifer K Johnson; Laurie J Conway; Richard A Venezia; Harold C Standiford; Marin L Schweizer; Joan N Hebden; Anita C Moore; Eli N Perencevich
Journal:  Antimicrob Agents Chemother       Date:  2010-05-17       Impact factor: 5.191

3.  Modeling the information preferences of parents of children with mental health problems: a discrete choice conjoint experiment.

Authors:  Charles E Cunningham; Ken Deal; Heather Rimas; Don H Buchanan; Michelle Gold; Katherine Sdao-Jarvie; Michael Boyle
Journal:  J Abnorm Child Psychol       Date:  2008-05-15

4.  Nursing Home Clinicians' Decision to Prescribe Antibiotics for a Suspected Urinary Tract Infection: Findings From a Discrete Choice Experiment.

Authors:  Christine E Kistler; Anna S Beeber; Sheryl Zimmerman; Kimberly Ward; Claire E Farel; Keith Chrzan; Christopher J Wretman; Marcella H Boynton; Michael Pignone; Philip D Sloane
Journal:  J Am Med Dir Assoc       Date:  2020-01-20       Impact factor: 4.669

  4 in total

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