predictors of asp recommendation disagreement 811
table 2. Multivariate Logistic Regression Model of Predictors for PAFR Nonadherence24
Value
Recommendation group Stop
Clarify
Optimize dose or frequency IV to PO Other
Duration modification Change agent
Infectious problem grouping Bacteremia Other UTI
Prophylaxis
Respiratory infection Sepsis
Gastrointestinal/IAI Febrile neutropenia
Skin and soft-tissue infection Days to audit category 0–30
31–90 91+
Medical service group Intensive care Surgical
Neonatology Medical
Cardiovascular intensive care Years post training
Odds Ratio (95% CI)
Reference
0.15 (0.05–0.43) 0.20 (0.09–0.47) 0.47 (0.19–1.17) 0.94 (0.49–1.81) 1.15 (0.59–2.26) 1.24 (0.76–2.01)
Reference
0.78 (0.15–4.17) 1.18 (0.32–4.38) 1.62 (0.61–4.34) 1.71 (0.71–4.11) 2.26 (0.97–5.24) 5.5 (1.99–15.21) 6.14 (2.08–18.12) 6.16 (1.92–19.77)
Reference
2.08 (1.36–3.18) 1.06 (0.56–2.00)
Reference
0.32 (0.03–2.92) 0.37 (0.22–0.63)
Heme-onc/stem-cell transplant 0.50 (0.22–1.16) 0.70 (0.31–1.60) 1.17 (0.73–1.88) 1.02 (1.01–1.04)
P Value <.001
…
<.001 <.001 .097 .84 .67 .38
<.001 …
.77 .80 .33 .22
.053
<.001 <.001 .002 .003 …
<.001 .86
<.001 …
.30
<.001 .10 .39 .50 .01
NOTE. Heme-onc, hematology-oncology; IAI, intra-abdominal infection; IV, intravenous; LOS, length of stay; PAFR, prospective audit and feedback recommendation; PO, enteral; UTI, urinary tract infection.
and skin and soft-tissue infections as predictors of provider disagreement with PAFR. Given the existence of evidence- based consensus guidelines for the management of these infections, the degree of disagreement between the patient care team and ASPs is particularly interesting.11,12 Our institution implemented a clinical practice guideline for the treatment of febrile neutropenia in June 2015, before the PAF program was initiated in the hematology-oncology unit. Although this guideline served as the foundation of ASP PAFR for patients with febrile neutropenia, we found significant provider disagreement with ASP recommendations. Thus, establishing institutional guidelines for an infectious problem, in isolation, may not resolve potential disagreement between the care team and the ASP. Additional opportunities to improve antimicrobial utilization may exist, and prospective monitor- ing of adherence to institutional guidelines may be essential to their success as stewardship interventions. The involvement of
the ASP team in the formulation of institutional treatment guidelines is also essential if there is to be consensus on the approach to antimicrobial therapy. We examined the relationship between several character-
istics of a patient’s hospitalization and provider disagreement with PAFR. In our study, providers were twice as likely to disagree with recommendations for patients who had been hospitalized 31–90 days at the time of PAF compared to patientswho had been hospitalized for ≤30 days. One potential explanation for this finding may be that patients with prolonged hospitalizations face unique infectious issues. This finding should be examined in future PAF research, as it may represent an important opportunity for ASPs to optimize appropriate antimicrobial prescribing in patients with extended hospital stays or who are receiving prolonged course of antibiotics (eg, endocarditis, osteomyelitis, menin- gitis) as inpatients. Given this finding, it may be helpful for ASPs to recommend formal ID consultations for patients with longer lengths of stay or prolonged antimicrobial courses. Because our program implemented PAF to the indi- vidual units on a rolling basis, we evaluated the time between PAF program implementation on a given unit to the time of a given audit. We were reassured to find that this was not a statistically significant predictor of PAFR disagreement, suggesting that the responsiveness of care teams to PAFR did not wane over time. The only programmatic predictor of PAFR disagreement
identified by our study was the recommendation type; provi- ders were significantly less likely to agree with recommenda- tions to stop antimicrobials than to clarify the indication or optimize the dosing. Similarly, prior studies have shown a willingness of providers to modify dosing of antimicrobials as recommended by the ASP.7 Given that our program’s most
common recommendation was to stop the antimicrobial, the finding that providers are less likely to follow this recom- mendation is concerning and merits further examination. Qualitative research that explores the decision process provi- ders use to decide whether to accept or disagree with PAFR may clarify this finding. Our study is the first to identify an association between the
years of attending experience and PAFR disagreement. This finding may reflect the relatively recent national prioritization
of antimicrobial stewardship and associated implementation of formal programs in hospitals in the last decade.4 As a result, many medical education and doctor-in-training programs have evolved to include principles of antimicrobial steward- ship. Clinicians who have trained at hospitals with formal ASP programs may respond more favorably to interventions supporting the judicious use of antimicrobials. On the other hand, physicians who trained prior to the antimicrobial stewardship era may be less inclined to follow PAFR. This finding underscores the need for incorporating antimicrobial stewardship into continuing education strategies for all physicians.13,14 Our study results indicated that PAFR for audits performed on patients in the PICU were less likely to be followed
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