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Wait and See Antibiotic Prescription for Acute Otitis Media: A Randomized Controlled Trial

Not Applicable
Completed
Conditions
Otitis Media
Registration Number
NCT00250900
Lead Sponsor
Yale University
Brief Summary

To determine if a wait and see prescription for ear infections in childhood reduces use of antibiotics compared to an immediate prescription

Detailed Description

We conducted a randomized, controlled trial evaluating a consecutive series of children diagnosed with AOM during a one year period in an urban pediatric emergency department, utilizing diagnostic recommendations from contemporary evidence-based guidelines. The objectives of the study were to determine whether treatment of AOM using a "Wait and See Prescription" (WASP) significantly reduces use of antimicrobials compared with a "Standard Prescription" (SP) and to evaluate the effects of this intervention on clinical symptoms and adverse outcomes related to antibiotic use.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
240
Inclusion Criteria
  • Children between the ages of 6 months - 12 years who were diagnosed with Acute Otitis Media
Exclusion Criteria
  • clinician suspicion or diagnosis of a concurrent bacterial infection
  • patient appeared "toxic" as determined by the PEM clinician
  • patient was hospitalized
  • history of compromised immunity
  • patient was treated with antimicrobials in the preceding seven days
  • either tympanic membrane was perforated
  • myringotomy tubes were present
  • uncertain access to medical care
  • primary language of the parent or guardian was neither English nor Spanish
  • prior enrollment in the study

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Primary Outcome Measures
NameTimeMethod
Proportion of each group that filled the antibiotic prescription
Secondary Outcome Measures
NameTimeMethod
Clinical course of the illness; side effects of medications; days of school/work missed; unscheduled medical visits

Trial Locations

Locations (1)

Yale University

🇺🇸

New Haven, Connecticut, United States

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