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Background: Surgical antibiotic prophylaxis (SAP) is a critical area to optimize to reduce the escalation of antimicrobial resistance. This article explores the ways by which interpersonal relationships influence SAP decision making., Methods: Twenty surgeons and anesthetists participated in in-depth semistructured interviews on SAP prescribing. Results were analyzed using the framework approach., Results: Analysis revealed 3 ways by which interpersonal relationships influence SAP: relationship dynamics between the surgeon and the anesthetist determine appropriateness of SAP, particularly operative risk ownership; perceived hierarchies within, and between, surgical and anesthetist specialties influence antibiotic prescribing decisions; and surgical distance from the antimicrobial stewardship team, which influences use of antimicrobial stewardship principles., Conclusions: Interventions to optimize SAP are more likely to be effective in enacting sustained change if they consider the interpersonal and social contexts, including issues of familiarity and cohesiveness, hierarchical patterns, and sense of place within a team. Significant relational dynamics in SAP decision making are centered around risk; that is, personal/reputational risk to different professional groups and ownership of risk for individual patient outcomes. Risk must therefore be considered for sustainable SAP optimization interventions., (Copyright © 2018 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)

Background: The treatment of pulmonary infections is one of the largest indications for antibiotics in human health care, offering significant potential for antibiotic optimization internationally. This study explores the perspectives of pulmonary clinicians on antibiotic use in hospital pulmonary infections., Methods: Twenty-eight pulmonary doctors and nurses from 2 hospitals participated in semi-structured interviews focusing on their experiences of antibiotic use., Results: Barriers to antibiotic optimization in pulmonary infections were identified. Clinical barriers are as follows. The first is differentiating pneumonia vs chronic obstructive pulmonary disease: differentiating pulmonary diagnoses was reported as challenging, leading to overtreatment. The second is differentiating viral vs bacterial: diagnostic differentiation was perceived to contribute to excess antibiotic use. The third is differentiating colonization vs pathogen: the interpretation of ambiguous results was reported to lead to under- or overprescribing depending on the perspective of the treating team. Social barriers are as follows. The first is the perception of resistance: antibiotic resistance was not perceived as an immediate threat. The second is the perceived value of antibiotic clinical guidelines: there was mistrust in antibiotic guidelines. The third is hospital hierarchies: hierarchical structures had a significant influence on prescribing., Conclusions: Substantial barriers to antibiotic optimization in pulmonary infections were identified. To facilitate change in antibiotic use there must be a systematic understanding and interventions to address specific clinical issues. In the case of pulmonary medicine, significant identified issues, such as mistrust in clinical guidelines and diagnostic challenges, need to be addressed., (Copyright © 2017 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.)