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. 2017 Feb 9;2017(2):CD003543. doi: 10.1002/14651858.CD003543.pub4

Linkin 2007.

Methods STUDY DESIGN: unintended consequences, cohort study
Risk of Bias: MEDIUM
Participants PROVIDERS: all physicians in the hospital
 PARTICIPANTS: 200 patients
 CLINICAL PROBLEM: requests for restricted antibiotic to the Antimicrobial Stewardship Program
 SETTING: 1 hospital in the USA
Interventions FORMAT: Interventions: restrictive
 Intervention Functions: restriction
 DELIVERER: AMT
 COMPARISON: patients with appropriate vs inappropriate requests
 DESIRED CHANGE: decrease excessive
Outcomes UNINTENDED CONSEQUENCES: accuracy of laboratory and clinical information provided in calls to the Antimicrobial Stewardship Program
Notes ROBINS‐I RISK OF BIAS CRITERIA:
1. Confounding: Low, the effects of inaccurate communication and each of the potential confounders on the risk of inappropriate antimicrobial recommendations were evaluated in bivariable analyses
2. Selection of participants into the study: Low, selection into the study unrelated to intervention or outcome
3. Measurement of interventions: Low, antimicrobial recommendations were evaluated for appropriateness by a 3‐person panel of infectious diseases experts blinded to the accuracy of information communicated during the Antimicrobial Stewardship Program call
4. Departures from intended interventions: Low, no switches to other interventions or evidence of intervention failure
5. Missing data: High, panelists could not agree on appropriateness of treatment for 37 patients. Outcome data complete for the 163 included patients
6. Measurement of outcome: Low, outcome measures objective and ascertained from patient administration system
7. Selection of the reported result: High, multiple secondary analyses were performed using the main study outcome
FINANCIAL SUPPORT: Funding: National Institutes of Health, Agency for Healthcare Research and Quality, and University of Pennsylvania. Competing Interests: none declared.
ADDITIONAL DATA: no response from authors to request for additional data