search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
810 infection control & hospital epidemiology july 2018, vol. 39, no. 7


table 1. Patient, Antimicrobial, and Programmatic Character- istics at Time of Prospective Audit and Feedback Recommendations (PAFR)


PAFR followed Characteristic


Patient age, mean y ± SDa Female gender


Patient race White or Caucasian


American Indian or Alaska Native or Native Hawaiian or other Pacific Islander or other or unknown


Asian Black or African American


Infectious problem groupinga Sepsis


Respiratory infection Prophylaxis Bacteremia


Urinary tract infection Febrile neutropenia Gastrointestinal/IAI


Skin and soft tissue infection Other


ID consulting Elevated CRP Febrile


Elevated procalcitonin Invasive ventilation


Noninvasive ventilation Central linea


Transplant during admission


(N=1,046), No. (%)


5.6±6.7


PAFR not followed


(N=187), No. (%)


8.2±9.5


695 (66) 115 (61.5) 418 (40)


79 (42.2) 395 (37.8) 74 (37.7)


180 (17.2) 30 (16) 53 (5)


4 (2.1)


433 (42.2) 82 (43.9) 232 (22.2) 35 (18.7) 121 (11.5) 15 (8) 77 (7.3) 42 (4)


8 (4.3) 4 (2.1)


38 (3.6) 37 (3.5) 32 (3)


24(2.2)


100 (9.6) 47 (4.5) 87 (8.3) 21 (2)


49 (4.7) 31 (3)


Stem-cell transplant during admission 13 (1.2) Oncology diagnosis ECMO before audit VAD before audit


Days from admission to audita 0–30


31–90 91+


Total ICU LOS, mean d ± SDa Total LOS, mean d ± SDa


Antimicrobial typea Broad-spectrum gram-negative antibiotic


Broad-spectrum gram-positive antibiotic


Narrow-spectrum antibiotic Other


Recommendation typea Stop


Change agent


Optimize dose or frequency Clarify


IV to PO


Duration modification Other


17 (9.1) 15 (8)


2 (1.1) 9 (4.8)


21 (11.2) 10 (5.3) 19 (10.2) 5 (2.7)


11 (5.9) 7 (3.7)


646 (62) 130 (69.5) 74 (7.1)


17 (9.1) 4 (2.1)


202 (19.3) 45 (24.1) 32 (3)


6 (3.2) 5 (0.5) 0


841 (80.4) 128 (68.5) 134 (12.8) 44 (23.5) 71 (6.8)


15 (8)


40.1±69.4 52.4±75.4 56.1±76 71.4±80


438 (41.9) 81 (43.3) 241 (23)


63 (33.7)


318 (30.4) 33 (17.6) 49 (4.7)


10 (5.3)


464 (44.4) 105 (56.1) 134 (12.8) 36 (19.3) 149 (14.2) 104 (9.9) 69 (6.6) 61 (5.8) 65 (6.2)


7 (3.7) 4 (2.1) 7 (3.7)


14 (7.5) 14 (7.5)


table 1. Continued PAFR followed Characteristic


Provider who communicated recommendation Pharmacist


Primary service ID service


Duration from process start to audit, mean d ± SD


Medical servicea Intensive care Neonatology


Cardiovascular intensive care


Hematology-oncology/stem-cell transplant


Medical Surgical


Attending experience posttraining, mean y ± SD


(N=1,046), No. (%)


PAFR not followed


(N=187), No. (%)


880 (84.1) 166 (88.8) 138 (13.2) 16 (8.6) 28 (2.7)


5 (2.7) 258±210 274±201 482 (46) 95 (50.8)


258 (24.7) 30 (16) 155 (14.8) 39 (20.9) 70 (6.7)


13 (7)


68 (6.5) 13 (1.2)


9 (4.8) 1 (0.5)


10.8±9.5 11.6±9.4


NOTE. CRP, C-reactive protein; ECMO, extracorporeal membrane oxygenation; IAI, intra-abdominal infection; ICU, intensive care unit; ID, infectious diseases; IV, intravenous; LOS, length of stay; PAFR, prospective audit and feedback recommendation; PO, enteral; SD, standard deviation; UTI, urinary tract infection; VAD, ventricular


assist device. aUnivariate analysis identified a statistically significant difference between groups (P<.05).


other pediatric studies, presumed and proven sepsis should be areas of focus for future stewardship research. We found some interesting differences between our study results and prior studies. In our study, nearly 30% of our audits resulted in a recommendation, which is significantly higher than previous reports of a 16%–19% recommendation rate.5,9,10 Potential explanations for this finding could include our review of all, rather than select, antimicrobials or clinical scenarios (eg, pathogen–drug mismatch, redundant therapy), worse overall antimicrobial prescribing practices at our institution, or a more aggressive approach to PAF by our ASP team. Our rate of disagreement of 15% was also slightly lower than previous reports of 18%–23%; however, the factors accounting for various rates of disagreement across institutions are likely multifactorial.5,7,9,10 Our study adds to the literature on the types of patient


conditions that are associated with provider disagreement with PAFR. One prior study showed that disagreement with PAFR was more common for specific patient conditions, including community-acquired pneumonia, suspected sepsis, febrile neutropenia, gastrointestinal disease, surgical infections, and diseases of the ear, nose, and throat.9 Similarly, our study identified the presence of febrile neutropenia, gastrointestinal,


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144