Collaborative Antimicrobial Stewardship in the Health Department

Institutional governance and responsiveness to antimicrobial resistance: a qualitative study of Australian hospital executives

OBJECTIVES

Despite escalating antimicrobial resistance (AMR), implementing effective antimicrobial optimisation within healthcare settings has been hampered by institutional impediments. This study sought to examine, from a hospital management and governance perspective, why healthcare providers may find it challenging to enact changes needed to address rising AMR.

DESIGN

Semistructured qualitative interviews around their experiences of antimicrobial stewardship (AMS) and responsiveness to the requirement for optimisation. Data were analysed using the framework approach.

SETTING

Two metropolitan tertiary-referral hospitals in Australia.

PARTICIPANTS

Twenty hospital managers and executives from the organisational level of department head and above, spanning a range of professional backgrounds and in both clinical and non-clinical roles, and different professional streams were represented.

RESULTS

Thematic analysis demonstrated three key domains which managers and executives describe, and which might function to delimit institutional responsiveness to present and future AMR solutions. First, the primacy of 'political' priorities. AMR was perceived as a secondary priority, overshadowed by political priorities determined beyond the hospital by state health departments/ministries and election cycles. Second, the limits of accreditation as a mechanism for change. Hospital accreditation processes and regulatory structures were not sufficient to induce efficacious AMS. Third, a culture of acute problem 'solving' rather than future proofing. A culture of reactivity was described across government and healthcare institutions, precluding longer term objectives, like addressing the AMR crisis.

CONCLUSION

There are dynamics between political and health service institutions, as well as enduring governance norms, that may significantly shape capacity to enact AMS and respond to AMR. Until these issues are addressed, and the field moves beyond individual behaviour modification models, antimicrobial misuse will likely continue, and stewardship is likely to have a limited impact.

Effects of antibiotic suppression on three healthcare systems’ National Healthcare Safety Network Antibiotic Resistance Option data

Objective:

The National Healthcare Safety Network (NHSN) Antibiotic Resistance (AR) Option is a valuable tool that can be used by acute-care hospitals to track and report antibiotic resistance rate data. Selective and cascading reporting results in suppressed antibiotic susceptibility results and has the potential to adversely affect what data are submitted into the NHSN AR Option. We describe the effects of antibiotic suppression on NHSN AR Option data.

Methods:

NHSN AR Option data were collected from 14 hospitals reporting into an existing NHSN user group from January 1, 2017, to December 31, 2018, and linked to commercial automated antimicrobial susceptibility testing instruments (cASTI) that were submitted as part of unrelated Tennessee Emerging Infections Program surveillance projects. A susceptibility result was defined as suppressed if the result was not found in the NHSN AR Option data but was reported in the cASTI data. Susceptibility results found in both data sets were described as released. Proportions of suppressed and released results were compared using the Pearson χ² and Fisher exact tests.

Results:

In total, 852 matched isolates with 3,859 unique susceptibilities were available for analysis. At least 1 suppressed antibiotic susceptibility result was available for 726 (85.2%) of the isolates. Of the 3,859 susceptibility results, 1,936 (50.2%) suppressed antibiotic susceptibility results were not reported into the NHSN AR option when compared to the cASTI data.

Conclusion:

The effect of antibiotic suppression described in this article has significant implications for the ability of the NHSN AR Option to accurately reflect antibiotic resistance rates.