This cross-sectional study evaluates the appropriateness of antimicrobial use for hospitalized patients treated for community-acquired pneumonia or a urinary tract infection present at admission or for patients who had received fluoroquinolone or intravenous vancomycin treatment.
Key Points
Question
What percentage of hospital antimicrobial use in the US deviates from recommended practices, such as treatment selection or duration, on the basis of medical record documentation?
Findings
In this cross-sectional study of 1566 patients at 192 hospitals, antimicrobial use deviated from recommended practices for 55.9% of patients who received antimicrobials for community-acquired pneumonia or urinary tract infection present at admission or who received fluoroquinolone or intravenous vancomycin treatment.
Meaning
The findings suggest that standardized assessments of hospital antimicrobial prescribing quality can be used to estimate the appropriateness of antimicrobial use in large groups of hospitals.
Abstract
Importance
Hospital antimicrobial consumption data are widely available; however, large-scale assessments of the quality of antimicrobial use in US hospitals are limited.
Objective
To evaluate the appropriateness of antimicrobial use for hospitalized patients treated for community-acquired pneumonia (CAP) or urinary tract infection (UTI) present at admission or for patients who had received fluoroquinolone or intravenous vancomycin treatment.
Design, Setting, and Participants
This cross-sectional study included data from a prevalence survey of hospitalized patients in 10 Emerging Infections Program sites. Random samples of inpatients on hospital survey dates from May 1 to September 30, 2015, were identified. Medical record data were collected for eligible patients with 1 or more of 4 treatment events (CAP, UTI, fluoroquinolone treatment, or vancomycin treatment), which were selected on the basis of common infection types reported and antimicrobials given to patients in the prevalence survey. Data were analyzed from August 1, 2017, to May 31, 2020.
Exposure
Antimicrobial treatment for CAP or UTI or with fluoroquinolones or vancomycin.
Main Outcomes and Measures
The percentage of antimicrobial use that was supported by medical record data (including infection signs and symptoms, microbiology test results, and antimicrobial treatment duration) or for which some aspect of use was unsupported. Unsupported antimicrobial use was defined as (1) use of antimicrobials to which the pathogen was not susceptible, use in the absence of documented infection signs or symptoms, or use without supporting microbiologic data; (2) use of antimicrobials that deviated from recommended guidelines; or (3) use that exceeded the recommended duration.
Results
Of 12 299 patients, 1566 patients (12.7%) in 192 hospitals were included; the median age was 67 years (interquartile range, 53-79 years), and 864 (55.2%) were female. A total of 219 patients (14.0%) were included in the CAP analysis, 452 (28.9%) in the UTI analysis, 550 (35.1%) in the fluoroquinolone analysis, and 403 (25.7%) in the vancomycin analysis; 58 patients (3.7%) were included in both fluoroquinolone and vancomycin analyses. Overall, treatment was unsupported for 876 of 1566 patients (55.9%; 95% CI, 53.5%-58.4%): 110 of 403 (27.3%) who received vancomycin, 256 of 550 (46.6%) who received fluoroquinolones, 347 of 452 (76.8%) with a diagnosis of UTI, and 174 of 219 (79.5%) with a diagnosis of CAP. Among patients with unsupported treatment, common reasons included excessive duration (103 of 174 patients with CAP [59.2%]) and lack of documented infection signs or symptoms (174 of 347 patients with UTI [50.1%]).
Conclusions and Relevance
The findings suggest that standardized assessments of hospital antimicrobial prescribing quality can be used to estimate the appropriateness of antimicrobial use in large groups of hospitals. These assessments, performed over time, may inform evaluations of the effects of antimicrobial stewardship initiatives nationally.
Introduction
Optimizing antimicrobial use is critical to slowing the spread of resistant pathogens. In 2014, the US Centers for Disease Control and Prevention (CDC) called for acute care hospitals to implement antimicrobial stewardship programs with the goal of improving antimicrobial use to optimize infection cure rates and minimize harms.1 In 2014 and 2015, the White House released the US National Strategy and Action Plan for Combating Antibiotic-Resistant Bacteria, which established antibiotic stewardship outcomes to accomplish by 2020, including a 20% reduction in inappropriate inpatient antibiotic use for monitored conditions and medications.2,3 National initiatives have bolstered stewardship efforts in recent years, and data from the CDC’s National Healthcare Safety Network have shown increases in the percentage of hospitals with comprehensive antimicrobial stewardship programs.1
Efforts to evaluate antimicrobial stewardship programs’ effect on hospital antimicrobial use typically focus on volume rather than prescribing quality4,5,6; it is not clear whether the volume of antimicrobial use correlates with appropriateness.7 Prescribing decisions for hospitalized patients are associated with many factors, including comorbidities, allergies, adverse effects, and drug interactions. In addition, the lack of current national treatment guidelines for some infections makes evaluating the appropriateness of US hospital antimicrobial use challenging. Hospital antimicrobial stewards often perform intensive, small-scale medication use evaluations to answer specific questions about appropriateness. Larger-scale evaluations are more difficult to conduct.
We developed and implemented a multicenter objective data collection as part of a hospital prevalence survey of health care–associated infections and antimicrobial use conducted by the CDC’s Emerging Infections Program in 2015. We used these data to assess the appropriateness of antimicrobial use for selected prescribing events in a large group of hospitals and to establish a baseline to which data from subsequent surveys could be compared for estimation of the association of national antimicrobial stewardship interventions with the appropriateness of antimicrobial use at these hospitals.
Methods
Hospitals and Patients
This study used data collected by the Emerging Infections Program, which conducted cross-sectional prevalence surveys of health care–associated infections and antimicrobial use in 2011 and 2015 at selected hospitals in 10 states (California, Colorado, Connecticut, Georgia, Maryland, Minnesota, New Mexico, New York, Oregon, and Tennessee); methods and results have been published previously.8,9,10,11 Each hospital selected a survey date between May 1 and September 30, 2015. Patients were randomly selected from the census on the morning of the survey date.8,9,10,11 The human subjects advisor in the CDC’s National Center for Emerging and Zoonotic Infectious Diseases determined that the survey was a nonresearch public health activity. Emerging Infections Program sites and hospitals determined that the survey was a nonresearch activity or approved it with an informed consent waiver. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
Data Collection
Data collected in the 2011 survey identified 4 common antimicrobial prescribing events for assessment in the 2015 survey: 2 infection-based events, including treatment of community-acquired pneumonia (CAP) or treatment of urinary tract infection (UTI) present at admission, and 2 antimicrobial-based events, including treatment with fluoroquinolones (FQ) or treatment with intravenous vancomycin (VANC). Medical record abstraction forms were developed for each event to compose the antimicrobial quality assessment (AQUA) component of the 2015 survey. Emerging Infections Program staff, who were not required to be clinicians or antimicrobial stewards, reviewed medical records retrospectively to collect information on comorbidities, health care exposures, antimicrobial allergies, illness severity, infections during the hospitalization, microbiology and other test results, and treatment.
Patients were eligible for multiple AQUA data collections based on the antimicrobials given to the patient on the survey date or the previous day and the reported rationale for use. Patients were eligible for CAP data collection if they were 1 year or older, did not have certain underlying conditions or exposures, and were receiving antimicrobials for treatment of CAP on the survey date or the previous day. Patients were excluded from CAP data collection for the following reasons: (1) a stay in a nursing home, long-term care facility, or long-term acute care hospital before admission to the survey hospital; (2) hospitalization for 2 or more days in the 90 days before admission (other than the current admission); (3) receipt of intravenous antimicrobials, cancer chemotherapy, or wound care in the 30 days before admission; (4) requirement for long-term hemodialysis or mechanical ventilation at home; (5) diagnosis of cystic fibrosis or AIDS or another acquired or congenital immunodeficiency; (6) history of solid organ or hematopoietic stem cell transplant; and (7) treatment with high-dose corticosteroids or other immunosuppressive agents for more than 30 days. Patients were eligible for UTI data collection if they were 1 year or older and receiving antimicrobials on the survey date or the previous day for treatment of UTI present at the time of admission to the survey hospital. Patients were eligible for FQ data collection if they were 18 years or older and receiving FQ treatment on the survey date or the previous day, and patients were eligible for VANC data collection if they were 1 year or older and receiving VANC treatment on the survey date or the previous day.
Statistical Analysis
Data were analyzed from August 1, 2017, to May 31, 2020. Final data downloaded from the prevalence survey data system on November 16, 2017, were analyzed using SAS, version 9.4 (SAS Institute Inc) or OpenEpi, version 3.01.12 AQUA analysis pathways were developed by CDC staff13,14,15 and refined from 2018 to 2020 with input from an antimicrobial stewardship expert group convened by The Pew Charitable Trusts.
Among patients eligible for AQUA data collection, a subset was eligible for analysis in which the finalized pathways were used. For the CAP pathway, the analysis included patients who (1) were 18 years or older, (2) had radiographic evidence of pneumonia during the first 5 hospital days, (3) had signs or symptoms of pneumonia during the first 2 hospital days, (4) received inpatient pneumonia treatment for 3 or more calendar days, and (5) did not have other infections reported during their hospitalizations. For the UTI pathway, analysis included patients who (1) were not pregnant and did not have neutropenia or a history of transplant, (2) received inpatient UTI treatment for 1 or more calendar days, and (3) did not have other infections reported. For the FQ pathway, analysis included patients with only 1 infection type who received FQ for 1 or more days. For the VANC pathway, analysis included patients with only 1 infection type who received VANC for more than 3 days (eMethods and eFigures 1-4 in the Supplement). We excluded patients from the VANC or FQ pathway if they were included in the CAP or UTI pathway.
Analysis pathways categorized the quality of antimicrobial use for each patient’s AQUA event(s) (eMethods in the Supplement). Because categorizations were based on data collected using standardized forms rather than clinical judgment at the time of medical record review, we used the terms supported and unsupported as proxies for appropriate and inappropriate or unnecessary use. Antimicrobial use was supported if there was medical record evidence that (1) treatment was clinically indicated for the infection for which the patient had a reported diagnosis, (2) antimicrobial selection was consistent with available guidelines or microbiology data, and (3) duration was consistent with recommendations in available guidelines.7,16,17,18,19,20 In cases involving more severe or complicated infections (eg, sterile site infections, sepsis, or infections due to selected pathogens such as mycobacteria), duration was not considered in the determination of whether prescribing was supported. Antimicrobial use for which some aspect was unsupported by medical record data (hereafter referred to as unsupported use) was defined as (1) use of antimicrobials to which the pathogen was not susceptible, use in the absence of signs or symptoms of infection, or use without supporting microbiologic data; (2) use of antimicrobials that deviated from guidelines; or (3) use that exceeded recommended duration.
Percentages of supported vs unsupported use and 95% CIs were calculated for each analysis pathway and across all pathways. For patients included in both the FQ and the VANC analysis pathways, discordant determinations were resolved to a single determination by 1 of the authors (S.S.M.).
Results
Patient Eligibility for AQUA Analysis Pathways
Of 12 299 patients, 1566 patients (12.7%) in 192 hospitals were included in AQUA analyses; the median age was 67 years (interquartile range, 53-79 years), and 864 (55.2%) were female. Characteristics of patients included in each analysis pathway are shown in Table 1. Of 12 299 patients included in the survey, 6084 (49.5%) received antimicrobial medications on the survey date or day before, and 4476 of these patients (73.6%) received antimicrobial treatment for infection, as reported previously.11 Among 4476 patients receiving antimicrobial treatment for infection, 2680 (59.9%) were eligible for 1 or more AQUA data collections: 430 (9.6% of all patients receiving antimicrobial treatment for infection) in the CAP analysis pathway, 846 (18.9%) in the UTI pathway, 1112 (24.8%) in the VANC pathway, and 1068 (23.9%) in the FQ pathway (eFigures 1-4 in the Supplement). Of the 2680 patients eligible for AQUA data collection, 1566 were included in the analyses: 219 (14.0%) in the CAP pathway, 452 (28.9%) in the UTI pathway, 550 (35.1%) in the FQ pathway, and 403 (25.7%) in the VANC pathway.
Table 1. Characteristics of Patients Included in the AQUA Pathways.
Characteristic | Patients, No. (%) | |||
---|---|---|---|---|
CAP pathway (n = 219) | UTI pathway (n = 452) | FQ pathway (n = 550) | VANC pathway (n = 403) | |
Sex | ||||
Female | 110 (50.2) | 311 (68.8) | 295 (53.6) | 178 (44.2) |
Male | 109 (49.8) | 141 (31.2) | 255 (46.4) | 225 (55.8) |
Age category, y | ||||
1-17a | NAb | 9 (2.0) | NAc | 10 (2.5) |
18-24 | 5 (2.3) | 12 (2.7) | 13 (2.4) | 5 (1.2) |
25-44 | 13 (5.9) | 40 (8.9) | 64 (11.6) | 75 (18.6) |
45-64 | 78 (35.6) | 76 (16.8) | 176 (32.0) | 148 (36.7) |
65-84 | 93 (42.5) | 216 (47.8) | 220 (40.0) | 135 (33.5) |
≥85 | 30 (13.7) | 99 (21.9) | 77 (14.0) | 30 (7.4) |
Location from which patient was admitted | ||||
Private residence | 212 (96.8) | 377 (83.4) | 476 (86.6) | 320 (79.4) |
Long-term care facility | NAc | 64 (14.2) | 45 (8.2) | 51 (12.7) |
Long-term acute care hospital | NAc | 1 (0.2) | 2 (0.4) | 3 (0.7) |
Another acute care hospital | 3 (1.4) | 7 (1.6) | 21 (3.8) | 16 (4.0) |
Other | 3 (1.4) | 0 | 4 (0.7) | 10 (2.5) |
Unknown | 1 (0.5) | 3 (0.7) | 2 (0.4) | 3 (0.7) |
Health care exposures in 30 d before admission | ||||
Intravenous antimicrobials | NAc | 47 (10.4) | 73 (13.3) | 93 (23.1) |
Cancer chemotherapy | NAc | 9 (2.0) | 33 (6.0) | 26 (6.5) |
Wound care | NAc | 15 (3.3) | 18 (3.3) | 41 (10.2) |
Long-term hemodialysis | NAc | 4 (0.9) | 13 (2.4) | 11 (2.7) |
Surgery | 2 (0.9) | 22 (4.9) | 21 (3.8) | 38 (9.4) |
None | 191 (87.2) | 301 (66.6) | 334 (60.7) | 181 (44.9) |
Unknown | 26 (11.9) | 76 (16.8) | 80 (14.6) | 58 (14.4) |
Hospitalized in the 90 d before admission | ||||
Yes | NAc | 109 (24.1) | 167 (30.4) | 164 (40.7) |
No | 190 (86.8) | 277 (61.3) | 317 (57.6) | 188 (46.7) |
Unknown | 29 (13.2) | 66 (14.6) | 66 (12.0) | 51 (12.7) |
Allergy to antimicrobials reported | 58 (26.5) | 151 (33.4) | 215 (39.1) | 115 (28.5) |
Any penicillin | 35 (16.0) | 77 (17.0) | 139 (25.3) | 71 (17.6) |
Severe penicillind | 8 (3.7) | 18 (4.0) | 46 (8.4) | 20 (5.0) |
Underlying conditions | ||||
Asthma | 19 (8.7) | 23 (5.1) | 46 (8.4) | 30 (7.4) |
Chronic obstructive pulmonary disease or emphysema | 89 (40.6) | 56 (12.4) | 165 (30.0) | 77 (19.1) |
Chronic kidney disease | 22 (10.1) | 89 (19.7) | 83 (15.1) | 48 (11.9) |
Chronic liver disease | 4 (1.8) | 9 (2.0) | 24 (4.4) | 19 (4.7) |
Congestive heart failure | 42 (19.2) | 58 (12.8) | 85 (15.5) | 52 (12.9) |
Diabetes | 60 (27.4) | 159 (35.2) | 139 (25.3) | 141 (35.0) |
HIV infection | 3 (1.4) | 8 (1.8) | 8 (1.5) | 6 (1.5) |
Malignant neoplasm | 20 (9.1) | 54 (12.0) | 93 (16.9) | 67 (16.6) |
Other immunosuppressione | NAc | 6 (1.3) | 33 (6.0) | 29 (7.2) |
Urinary tract conditionf | 10 (4.6) | 111 (24.6) | 26 (4.7) | 12 (3.0) |
None | 28 (12.8) | 57 (12.6) | 78 (14.2) | 58 (14.4) |
Unknown | 4 (1.8) | 0 | 4 (0.7) | 4 (1.0) |
Severity of illness | ||||
In intensive care unit during hospitalization | 82 (37.4) | 64 (14.2) | 111 (20.2) | 108 (26.8) |
Systemic inflammatory response syndrome presentg | 62 (28.3) | 85 (18.8) | 63 (11.5) | 87 (21.6) |
Hospital size category | ||||
Small: <150 beds | 93 (42.5) | 193 (42.7) | 223 (40.6) | 121 (30.0) |
Medium: 150-399 beds | 103 (47.0) | 205 (45.4) | 238 (43.3) | 174 (43.2) |
Large: ≥400 beds | 23 (10.5) | 54 (12.0) | 89 (16.2) | 108 (26.8) |
Location of patient in hospital on the survey date | ||||
Critical care unit | 49 (22.4) | 43 (9.5) | 53 (9.6) | 55 (13.7) |
Mixed acuity unit | 5 (2.3) | 7 (1.6) | 5 (0.9) | 3 (0.7) |
Specialty care area | 0 | 0 | 4 (0.7) | 2 (0.5) |
Step-down unit | 10 (4.6) | 15 (3.3) | 27 (4.9) | 25 (6.2) |
Ward | 155 (70.8) | 387 (85.6) | 461 (83.8) | 318 (78.9) |
Central line in place on survey date | ||||
Yes | 36 (16.4) | 43 (9.5) | 91 (16.6) | 124 (30.8) |
No | 183 (83.6) | 408 (90.3) | 457 (83.1) | 279 (69.2) |
Unknown | 0 | 1 (0.2) | 2 (0.4) | 0 |
Urinary catheter in place on survey date | ||||
Yes | 52 (23.7) | 138 (30.5) | 91 (16.6) | 87 (21.6) |
No | 167 (76.3) | 313 (69.3) | 457 (83.1) | 314 (77.9) |
Unknown | 0 | 1 (0.2) | 2 (0.4) | 2 (0.5) |
Ventilator in place on survey date | ||||
Yes | 19 (8.7) | 10 (2.2) | 18 (3.3) | 29 (7.2) |
No | 200 (91.3) | 442 (97.8) | 530 (96.4) | 374 (92.8) |
Unknown | 0 | 0 | 2 (0.4) | 0 |
Antimicrobials given before hospitalization for the current infection | ||||
Yes | 32 (14.6) | 93 (20.6) | NC | NC |
No | 172 (78.5) | 324 (71.7) | NC | NC |
Unknown | 15 (6.8) | 35 (7.7) | NC | NC |
Antimicrobials prescribed at hospital dischargeh | ||||
Yes | 132 (60.3) | 257 (56.9) | 258 (46.9) | 47 (11.7) |
No | 81 (37.0) | 189 (41.8) | 286 (52.0) | 352 (87.3) |
Unknown | 6 (2.7) | 6 (1.3) | 6 (1.1) | 4 (1.0) |
Duration of antimicrobial treatment, median (IQR), di | 10 (8-13) | 8 (5-11) | 7 (4-11) | 7 (5-11) |
Hospital length of stay, median (IQR), d | 6 (4-11) | 4 (3-7) | 6 (3-9) | 9 (5-15) |
Outcome of hospitalization | ||||
Died | 11 (5.0) | 11 (2.4) | 16 (2.9) | 18 (4.5) |
Survived | 208 (95.0) | 441 (97.6) | 533 (96.9) | 384 (95.3) |
Unknown | 0 | 0 | 1 (0.2) | 1 (0.3) |
Abbreviations: AQUA, antimicrobial quality assessment; CAP, community-acquired pneumonia; FQ, fluoroquinolone; IQR, interquartile range; NA, not applicable; NC, not collected; UTI, urinary tract infection present on admission; VANC, intravenous vancomycin.
Patients younger than 1 year were not eligible for any AQUA data collection.
Patients younger than 18 years were not included in the CAP analysis.
Patients with these characteristics were not eligible for the AQUA event data collection.
Reactions categorized as severe included anaphylaxis, wheezing, throat tightness, trouble breathing, angioedema, swelling, hives, urticaria, blisters, Stevens-Johnson syndrome, syncope, shock, thrombocytopenia, and liver failure.
Includes asplenia, long-term corticosteroid or other immunosuppressive therapy, neutropenia, solid organ transplant, or hematopoietic stem cell transplant.
Includes congenital urinary tract abnormalities, nephrolithiasis, recurrent urinary tract infection, vesicoureteral reflux, ureteral stent, urostomy, and other unspecified urinary tract abnormalities.
During the first 24 hours of treatment during the hospitalization.
Includes antimicrobials given to continue treatment of CAP or UTI or treatment with FQ or VANC continued after discharge.
Total duration of treatment included inpatient treatment plus anticipated postdischarge treatment for CAP or UTI or with FQ or VANC. Data shown reflect only patients for whom inpatient and postdischarge treatment duration were known. Postdischarge treatment duration was available for a subset of patients who were reported to have been prescribed antimicrobials at discharge: for CAP, 114 of 132 patients; for UTI, 207 of 257 patients; for FQ, 206 of 258 patients; and for VANC, 32 of 47 patients.
Antimicrobial Prescribing Quality Assessment
Among 219 patients in the CAP pathway (Table 2 and eFigure 5 in the Supplement), antimicrobial prescribing was categorized as supported for 45 (20.5%; 95% CI, 15.6%-26.3%) and unsupported for 174 (79.5%; 95% CI, 73.7%-84.4%). Most patients with unsupported CAP treatment were treated for 8 or more days (103 of 174 [59.2%]) or received antimicrobials on inpatient treatment day 3 (68 of 174 [39.1%]) that were inconsistent with current guidelines.
Table 2. Percentage of Antimicrobial Treatment Supported or Unsupported Based on Medical Record Documentation in the CAP Analysis Pathway.
Pathway criterion | Patients, No. (%) (n = 219) | Prescribing quality determination |
---|---|---|
No pathogens identified from respiratory or sterile site cultures in first 5 hospital d | ||
All | 171 (78.1) | NA |
Did not receive guideline-similar CAP treatment on day 3 of inpatient treatment | 68 (31.1) | Unsupported |
Received guideline-similar CAP treatment on day 3 of inpatient treatment | ||
All | 103 (47.0) | NA |
Treatment duration <8 da | 32 (14.6) | Supported |
Treatment duration ≥8 da | 71 (32.4) | Unsupported |
Pathogens identified from respiratory or sterile site cultures in first 5 hospital d | ||
All | 48 (21.9) | NA |
Pathogen not susceptible to antimicrobial treatmentb | 3 (1.4) | Unsupported |
Pathogen susceptible to antimicrobial treatmentb | 45 (20.5) | NA |
Pathogen cultured from blood, cerebrospinal fluid, or pleural fluid sample | 4 (1.8) | Supported |
Pathogen not cultured from blood, cerebrospinal fluid, or pleural fluid sample | 41 (18.7) | NA |
Special pathogen isolatedc | 2 (0.9) | Supported |
No special pathogens isolated | 39 (17.8) | NA |
Treatment duration <8 da | 7 (3.2) | Supported |
Treatment duration ≥8 da | 32 (14.6) | Unsupported |
Total supported and unsupported CAP treatment | ||
Supported CAP treatment | 45 (20.5) | NA |
Unsupported CAP treatment | 174 (79.5) | NA |
Abbreviations: CAP, community-acquired pneumonia; NA, not applicable.
Treatment duration was defined as the duration of inpatient treatment plus the anticipated duration of postdischarge treatment. If postdischarge treatment duration was missing, it was estimated by determining the median days of postdischarge treatment among patients in the same step of the analysis pathway with the same duration of inpatient treatment.
Pathogens were assessed to determine whether they were susceptible (or likely susceptible if no susceptibility data were reported) to at least 1 antimicrobial that the patient was receiving on the day after the microbiology test result was reported to be final.
Special pathogens were defined as Mycobacterium species (other than Mycobacterium gordonae), Aspergillus species, Nocardia species, or other uncommon organisms requiring specialized, prolonged treatment.
Among 452 patients in the UTI pathway (Table 3 and eFigure 6 in the Supplement), antimicrobial treatment was categorized as supported for 105 (23.2%; 95% CI, 19.6%-27.3%) and unsupported for 347 (76.8%; 95% CI, 72.7%-80.5%). Unsupported antimicrobial use was most commonly attributed to lack of documented signs or symptoms of UTI (174 of 347 [50.1%]), continued treatment without qualifying microbiologic evidence of infection (95 of 347 [27.4%]), or excessive treatment duration (74 of 347 [21.3%]).
Table 3. Percentage of Antimicrobial Treatment Supported or Unsupported Based on Medical Record Documentation in the UTI Analysis Pathway.
Pathway criterion | Patients, No. (%) (n = 452) | Prescribing quality determination |
---|---|---|
No signs or symptoms of UTI documented in first 2 hospital d and no matching pathogen isolated from eligible urine and blood cultures | ||
All | 174 (38.5) | Unsupported |
Signs or symptoms of UTI documented in first 2 hospital d or a matching pathogen isolated from eligible urine and blood cultures | ||
All | 278 (61.5) | NA |
Eligible positive urine or blood culture collected in the first 5 hospital d | 171 (37.8) | NA |
Pathogen not susceptible to antimicrobial treatmenta | 4 (0.9) | Unsupported |
Pathogen susceptible to antimicrobial treatmenta | 167 (36.9) | NA |
Only fluoroquinolone treatment given | 18 (4.0) | NA |
Treatment duration <8 db | 4 (0.9) | Supported |
Treatment duration ≥8 db | 14 (3.1) | Unsupported |
Antimicrobials other than fluoroquinolones given | 149 (33.0) | NA |
Fever documented or eligible positive blood culture result | 86 (19.0) | NA |
Treatment duration <15 db | 66 (14.6) | Supported |
Treatment duration ≥15 db | 20 (4.4) | Unsupported |
No fever documented and no eligible positive blood cultures | 63 (13.9) | NA |
Treatment duration <8 db | 23 (5.1) | Supported |
Treatment duration ≥8 db | 40 (8.8) | Unsupported |
No eligible positive urine or blood culture results in the first 5 hospital d | 107 (23.7) | NA |
Treatment stopped within 3 d | 12 (2.7) | Supported |
Treatment continued for >3 d | 95 (21.0) | Unsupported |
Total supported and unsupported UTI treatment | ||
Supported UTI treatment | 105 (23.2) | NA |
Unsupported UTI treatment | 347 (76.8) | NA |
Abbreviations: NA, not applicable; UTI, urinary tract infection.
Pathogens were assessed to determine whether they were susceptible (or likely susceptible if no susceptibility data were reported) to at least 1 antimicrobial the patient was receiving the day after the microbiology test result was reported to be final.
Treatment duration was defined as the duration of inpatient treatment plus the anticipated duration of postdischarge treatment. If postdischarge treatment duration was missing, it was estimated by determining the median days of postdischarge treatment among patients in the same step of the analysis pathway with the same duration of inpatient treatment.
Among 550 patients in the FQ pathway (Table 4 and eFigure 7 in the Supplement), antimicrobial prescribing was categorized as supported for 294 (53.5%; 95% CI, 49.3%-57.6%) and unsupported for 256 (46.5%; 95% CI, 42.4%-50.7%), most commonly because of FQ treatment for 8 or more days in patients with lower respiratory tract, abdominal, or gastrointestinal infections without supporting microbiologic data (161 of 256 [62.9%]).
Table 4. Percentage of Antimicrobial Treatment Supported or Unsupported Based on Medical Record Documentation in the FQ Analysis Pathway.
Pathway criterion | Patients, No. (%) (n = 550) | Prescribing quality determination |
---|---|---|
No pathogen identified from a specimen type consistent with the reported infection sitea | ||
All | 432 (78.5) | NA |
Sepsisb | 49 (8.9) | Supported |
Bone or joint infection | 3 (0.5) | NA |
Signs or symptoms consistent with the reported infection site | 3 (0.5) | Supported |
No signs or symptoms consistent with the reported infection site | 0 | Unsupported |
Pneumonia; lower respiratory tract infection; or gastrointestinal, hepatobiliary, or intra-abdominal infection without sepsis | 320 (58.2) | NA |
Signs or symptoms consistent with the reported infection site | 314 (57.1) | NA |
FQ treatment duration <8 dc | 153 (27.8) | Supported |
FQ treatment duration ≥8 dc | 161 (29.3) | Unsupported |
No signs or symptoms consistent with the reported infection site | 6 (1.1) | Unsupported |
Other infection site | 60 (10.9) | NA |
FQ stopped within 3 d if no microbiology testing done or within 1 d of final negative culture or CIDT resultd | 24 (4.4) | Supported |
FQ continued | 36 (6.5) | Unsupported |
Pathogen identified from specimen type consistent with the site of infectione | ||
All | 118 (21.5) | NA |
Pathogen not susceptible or likely not susceptible to the FQ received | 22 (4.0) | NA |
FQ stopped within 1 d of the final culture or CIDT resultd | 16 (2.9) | Supported |
FQ continued | 6 (1.1) | Unsupported |
Pathogen susceptible or likely susceptible to the FQ received | 96 (17.5) | NA |
Pathogen identified from blood or other sterile site | 14 (2.5) | Supported |
Pathogen identified from nonsterile site | 82 (14.9) | NA |
Special pathogen isolatedf | 1 (0.2) | Supported |
No special pathogens isolatedf | 81 (14.7) | NA |
Signs or symptoms consistent with reported infection site | 67 (12.2) | NA |
UTI with fever | 2 (0.4) | NA |
FQ treatment duration <15 dc | 2 (0.4) | Supported |
FQ treatment duration ≥15 dc | 0 | Unsupported |
Other infection type | 65 (11.8) | NA |
FQ treatment <8 dc | 32 (5.8) | Supported |
FQ treatment duration ≥8 dc | 33 (6.0) | Unsupported |
No signs or symptoms consistent with reported infection site | 14 (2.5) | Unsupported |
Total supported and unsupported FQ treatment | ||
Supported FQ treatment | 294 (53.5) | NA |
Unsupported FQ treatment | 256 (46.5) | NA |
Abbreviations: CIDT, culture-independent diagnostic test; FQ, fluoroquinolone; NA, not applicable; UTI, urinary tract infection.
Includes patients for whom cultures and CIDTs were not performed, patients for whom all culture and CIDT results were negative, and patients for whom culture and CIDT results were positive only for nonpathogens at the site of infection (eg, normal or mixed flora, yeast, or Candida species from a urine culture or respiratory tract culture).
Sepsis was defined using systemic inflammatory response syndrome criteria on the first day of FQ treatment based on 2 or more of the following: (1) temperature lower than 36 °C or higher than 38 °C, (2) heart rate greater than 90 beats per minute, (3) respiratory rate greater than 20 breaths per minute (or partial pressure of carbon dioxide, arterial <32 mm Hg), or (4) white blood cell count less than 4000 cells/mm3 or greater than 10 000 cells/mm3 or greater than 10% bands in addition to (1) systolic blood pressure lower than 90 mm Hg, mean arterial pressure lower than 65 mm Hg, or receipt of vasopressors or (2) lactate level greater than 2 mmol/L (to convert to milligrams per deciliter, divide by 0.111).
Treatment duration was defined as the duration of inpatient FQ treatment plus the anticipated duration of postdischarge FQ treatment. If postdischarge treatment duration was missing, it was estimated by determining the median days of postdischarge treatment among patients in the same step of the analysis pathway with the same duration of inpatient treatment. Data on other non-FQ antimicrobials were not collected.
The time from collection to the final negative culture and CIDT results was estimated using the median time from collection to the final positive culture result.
Includes results of cultures or CIDTs performed 5 days before the initiation of FQ treatment through the last date of FQ treatment.
Mycobacterium species (other than Mycobacterium gordonae).
Among 403 patients in the VANC pathway (Table 5 and eFigure 8 in the Supplement), antimicrobial use was categorized as supported for 293 (72.7%; 95% CI, 68.2%-76.9%) and unsupported for 110 (27.3%; 95% CI, 23.1%-31.8%). Unsupported treatment was commonly attributed to continuation of VANC in patients who did not appear to require it (56 of 110 [50.9%]), for example, patients without susceptible or likely susceptible pathogens identified from microbiologic testing or patients with cultures positive for pathogens susceptible to penicillin, ampicillin, or oxacillin and without a severe or unspecified penicillin allergy.
Table 5. Percentage of Antimicrobial Treatment Supported or Unsupported Based on Medical Record Documentation in the Vancomycin Analysis Pathway.
Pathway criterion | Patients, No. (%) (n = 403) | Prescribing quality determination |
---|---|---|
Neutropenia | 7 (1.7) | Supported |
Cystic fibrosis with a history of MRSA colonization or infection | 2 (0.5) | Supported |
No pathogen identified from a specimen type consistent with the reported infection sitea | ||
All | 214 (53.1) | NA |
Sepsisb | 49 (12.2) | Supported |
Bone or joint, cardiovascular, or central nervous system infection without sepsis | 16 (4.0) | NA |
Signs or symptoms consistent with the reported infection site | 16 (4.0) | Supported |
No signs or symptoms consistent with the reported infection site | 0 | Unsupported |
Purulent skin and soft-tissue infection without sepsis | 19 (4.7) | NA |
Vancomycin treatment duration <11 dc | 15 (3.7) | Supported |
Vancomycin treatment duration ≥11 dc | 4 (1.0) | Unsupported |
Health care–associated pneumonia or lower respiratory tract infection without sepsis | 55 (13.6) | NA |
Signs or symptoms consistent with the reported infection site | 55 (13.6) | NA |
Vancomycin treatment duration <8 dc | 36 (8.9) | Supported |
Vancomycin treatment duration ≥8 dc | 19 (4.7) | Unsupported |
No signs or symptoms consistent with the reported infection site | 0 | Unsupported |
Other infection site | 75 (18.6) | NA |
Vancomycin stopped within 3 d if no microbiology testing done or within 1 d of the final negative culture or CIDT resultd | 45 (11.2) | Supported |
Vancomycin continued | 30 (7.4) | Unsupported |
Pathogen identified from specimen type consistent with the site of infectione | ||
All | 180 (44.7) | NA |
Pathogen not susceptible or likely not susceptible to vancomycin | 31 (7.7) | NA |
Vancomycin stopped within 1 d of the final culture or CIDT resultd | 17 (4.2) | Supported |
Vancomycin continued | 14 (3.5) | Unsupported |
Pathogen susceptible or likely susceptible to vancomycin | 149 (37.0) | NA |
Pathogen identified from blood or other sterile site | 37 (9.2) | NA |
Pathogen susceptible or likely susceptible to penicillin, ampicillin, or oxacillin | 13 (3.2) | NA |
Severe or unspecified penicillin allergy | 1 (0.2) | Supported |
No severe or unspecified penicillin allergy | 12 (3.0) | NA |
Vancomycin stopped within 1 d of the final culture or CIDT resultd | 7 (1.7) | Supported |
Vancomycin continued | 5 (1.2) | Unsupported |
Pathogen not susceptible or likely not susceptible to penicillin, ampicillin, or oxacillin | 24 (6.0) | Supported |
Pathogen identified from nonsterile site | 112 (27.8) | NA |
Signs or symptoms consistent with the reported infection site | 106 (26.3) | NA |
Pathogen susceptible or likely susceptible to penicillin, ampicillin, or oxacillin | 36 (8.9) | NA |
Severe or unspecified penicillin allergy | 7 (1.7) | NA |
Infection-specific treatment duration criterion metc | 3 (0.7) | Supported |
Infection-specific treatment duration criterion not metc | 4 (1.0) | Unsupported |
No severe or unspecified penicillin allergy | 29 (7.2) | NA |
Vancomycin stopped within 1 d of the final culture or CIDT resultd | 24 (6.0) | Supported |
Vancomycin continued | 5 (1.2) | Unsupported |
Pathogen not susceptible or likely not susceptible to penicillin, ampicillin, or oxacillin | 70 (17.4) | NA |
Infection-specific treatment duration criterion metc | 47 (11.7) | Supported |
Infection-specific treatment duration criterion not metc | 23 (5.7) | Unsupported |
No signs or symptoms consistent with the reported infection site | 6 (1.5) | Unsupported |
Total supported and unsupported vancomycin treatment | ||
Supported vancomycin treatment | 293 (72.7) | NA |
Unsupported vancomycin treatment | 110 (27.3) | NA |
Abbreviations: CIDT, culture-independent diagnostic test; MRSA, methicillin-resistant Staphylococcus aureus; NA, not applicable.
Includes patients for whom cultures and CIDTs were not performed, patients for whom all culture and CIDT results were negative, and patients for whom culture and CIDT results were positive only for nonpathogens at the site of infection (eg, normal or mixed flora, yeast, or Candida species from a urine culture or respiratory tract culture).
Sepsis was defined using systemic inflammatory response syndrome criteria on the first day of vancomycin treatment based on 2 or more of the following: (1) temperature lower than 36 °C or higher than 38 °C, (2) heart rate greater than 90 beats per minute, (3) respiratory rate greater than 20 breaths per minute (or partial pressure of carbon dioxide, arterial <32 mm Hg), or (4) white blood cell count less than 4000 cells/mm3 or greater than 10 000 cells/mm3 or greater than 10% bands in addition to (1) systolic blood pressure less than 90 mm Hg, mean arterial pressure less than 65 mm Hg, or receipt of vasopressors or (2) lactate level greater than 2 mmol/L (to convert to milligrams per deciliter, divide by 0.111).
Treatment duration was defined as the duration of inpatient vancomycin treatment plus the anticipated duration of postdischarge vancomycin treatment. If postdischarge treatment duration was missing, it was estimated by determining the median days of postdischarge treatment among patients in the same step of the analysis pathway with the same duration of inpatient treatment. Data on other non-vancomycin antimicrobials were not collected. If not specified in the table, the following criteria were used: for lower respiratory tract infections and abdominal infections, fewer than 8 days was supported and 8 days or more was unsupported, and for skin and soft tissue infections, fewer than 11 days was supported and 11 days or more was unsupported. Treatment of any duration was considered supported for bloodstream infections; bone and joint infections; and ear, eye, nose, and throat infections.
The time from collection to final negative culture and CIDT results was estimated using the median time from collection to the final positive culture result.
Includes results of cultures or CIDTs performed 5 days before the initiation of vancomycin treatment through the last date of vancomycin treatment.
Patients Included in Multiple AQUA Pathways
After exclusion of patients in the CAP or UTI pathway from the VANC and FQ pathways, 58 patients (3.7%) remained in multiple analysis pathways (VANC and FQ). Determinations in the 2 pathways were concordant for 32 of 58 patients (55.2%): 22 with supported and 10 with unsupported treatment. Discordant determinations (eg, unsupported for VANC and supported for FQ) were observed for 26 patients; after data for these patients were reviewed, 1 had an overall determination of supported treatment and 25, unsupported treatment. After discordant determinations were resolved, antimicrobial prescribing was determined to be supported for 690 of 1566 patients (44.1%; 95% CI, 41.6%-46.5%) and unsupported for 876 of 1566 patients (55.9%; 95% CI, 53.5%-58.4%) (eTable in the Supplement).
Discussion
Among patients included in a multicenter hospital prevalence survey of health care–associated infections and antimicrobial use, a substantial percentage of CAP, UTI, FQ, and VANC treatment was unsupported by medical record data collected using a standardized approach (55.9% overall and as high as 79.5% for CAP). Common reasons for unsupported use included long duration, antimicrobial selection that deviated from guidelines, absence of documented signs or symptoms of infection, and lack of microbiologic evidence of infection.
Few recent, large studies have addressed inpatient antimicrobial prescribing quality.21,22,23,24 Comparison of our results with the results of these other studies is difficult because different approaches to data collection and different definitions of inappropriate or unnecessary prescribing of antimicrobials were used. In the other studies, antimicrobial prophylaxis and treatment were included and antimicrobial stewardship program personnel or other medical professionals collected the data and made determinations about antimicrobial prescribing quality.21,22,23,24 These studies also focused their assessments on antimicrobial prescriptions rather than infection syndromes. We focused solely on antimicrobials used to treat infections rather than including prophylaxis; did not require data collectors to have clinical or stewardship expertise; and used analysis pathways to categorize prescribing quality for 2 antimicrobial-based and 2 infection-based events.
Other studies have used terms such as inappropriate and suboptimal to describe prescribing quality but defined them in different ways. The use of multiple different definitions of appropriate and inappropriate prescribing is a particular challenge for hospital antimicrobial stewardship.7 Tribble et al22 considered suboptimal antimicrobial use to be inappropriate or appropriate with modification required; reasons included pathogen-drug mismatch, duplicate treatment (eg, 2 antimicrobials to cover anaerobes), unnecessary intravenous antimicrobial administration, overly broad coverage, and reasons classified as other. In contrast, the Australian Hospital National Antimicrobial Prescribing Survey defines inappropriate antimicrobial prescribing as being either suboptimal or inadequate.24 Suboptimal prescribing includes overly broad coverage, duplicate treatment, excessively long treatment, and failure to de-escalate on the basis of microbiology test results; inadequate prescribing includes antimicrobial use when antimicrobials are not needed and prescribing in which the antimicrobial selection, dose, route, or duration is deemed unlikely to treat the pathogen or likely pathogen.24 We opted to use the terms supported and unsupported as proxies for appropriate and inappropriate or unnecessary use because we did not require that data collection be performed by clinicians, and determinations were made through analysis pathways rather than by antimicrobial stewards using their clinical expertise and judgment to evaluate individual patient records.
We observed that the percentages of unsupported use were higher for infection-based events than for antimicrobial-based events. This finding may have been associated in part with our inclusion of more specific criteria in the infection-based analysis pathways according to treatment guidelines from professional societies, which tend to focus on types of infections. Although US infectious diseases and pharmacy professional societies have issued a guideline on therapeutic monitoring of VANC use for serious infections caused by methicillin-resistant Staphylococcus aureus,25 few national guidelines have focused on appropriate therapeutic uses of specific antimicrobials. In addition, it was not feasible to include specific criteria to cover aspects of prescribing for all possible infection types in the antimicrobial-based pathways. The larger percentages of supported FQ and VANC use compared with antimicrobial use for treatment of CAP and UTI may have been attributable to this exclusion. We believe that for the approach that we used, the infection-based assessments were more practical for implementation on a large scale and identified more opportunities for improving use.
One example of an opportunity for improvement suggested by our analysis is excessive treatment duration, which was the most common reason for unsupported CAP treatment and has been reported in multiple other studies.26,27,28 We calculated total treatment duration, including days of inpatient therapy plus the planned duration of postdischarge treatment. Current CAP guidelines recommend treatment for a minimum of 5 days, even if the patient has reached clinical stability before 5 days, stating that “as most patients will achieve clinical stability within the first 48 to 72 hours, a total duration of therapy of 5 days will be appropriate for most patients.”17 Exceptions are noted for CAP caused by methicillin-resistant S aureus or Pseudomonas aeruginosa, for which the recommended duration of treatment is 7 days.17 In our analysis, among 142 patients with CAP for whom duration of therapy was assessed, 103 (72.5%) were treated for at least 8 days. Among hospitalized veterans with uncomplicated pneumonia in 2013, 93.1% of patients with CAP received treatment for longer than the recommended duration.26 Among patients with CAP who were hospitalized in 2017 and 2018 in a Michigan Hospital Medicine Safety Consortium study, 71.3% received treatment for longer than the recommended duration.27 Given the harm associated with excessive treatment, studies are needed to establish effective approaches to reducing treatment duration, particularly after discharge.27,28
Absence of signs or symptoms of infection was another common reason for unsupported antimicrobial use among patients receiving UTI treatment. Recent updated guidelines29 have addressed the problem of inappropriate treatment of asymptomatic bacteriuria. Despite efforts to discourage treatment of asymptomatic bacteriuria, a large percentage of patients receiving UTI treatment in our analysis—approximately 38%—lacked documented signs or symptoms of infection. This is higher than the percentage observed in a similar analysis performed in 2011,30 in which approximately 23% of patients without a catheter who were being treated for UTI did not have documented signs or symptoms of infection. Results of a Veterans Health Administration study showed that among hospitalized patients with positive urine culture results in 2013 and 2014, 72% with asymptomatic bacteriuria received antibiotics.31 Interventions that incorporate elements such as education and clinical decision support have been shown to be associated with reductions in antimicrobial use for asymptomatic bacteriuria.32,33,34
Limitations
This study has limitations. The numbers of hospitals and patients included in our analysis were limited and from just 10 states; consequently, the results may not be generalizable. We assessed antimicrobial treatment only and not surgical or medical prophylaxis; data on surgical prophylaxis from the Emerging Infections Program hospital prevalence survey have been published.11 Because of the complexity of evaluating inpatient antimicrobial use, we included only selected patients who were treated for a single infection type. Therefore, only 35.0% of patients receiving antimicrobial treatment during hospitalization were assessed, which is a limitation of an approach that does not use antimicrobial stewards to review and interpret data from individual patient records. Determining the appropriateness of antimicrobial use for the remaining 65% of patients, many of whom may have received antimicrobials for complicated infections, may be challenging with the use of our approach. In a small percentage of patients included in both the FQ and the VANC analysis pathways, discordant determinations had to be resolved by 1 of the authors (S.S.M.). Further refinement of the data collection and analysis pathways may reduce this need in future assessments. In addition, our assessment was based solely on medical record documentation. Incomplete documentation or failure to collect certain data, such as all antimicrobials received by patients during hospitalization in the FQ or VANC pathways, could have affected our results. We were not able to validate the results obtained using the analysis pathways with reviews of a subset of patient records by infectious diseases specialists or pharmacists. In addition, we did not assess risk factors for unsupported antimicrobial use.
Conclusions
The findings suggest that standardized assessments of hospital antimicrobial prescribing quality can be used to estimate the appropriateness of antimicrobial use in large groups of hospitals. National assessments of prescribing quality to complement data on the volume of antimicrobial use in hospitals and improve prescribing practices may ultimately depend on the ability to access and analyze electronic health record data across hundreds or thousands of health care facilities. Until such approaches are feasible, the AQUA assessment may be repeated over time as part of intermittent prevalence surveys of health care–associated infections and antimicrobial use to describe changes in prescribing quality and estimate the effects of national antimicrobial stewardship initiatives.
References
- 1.US Department of Health and Human Services, Centers for Disease Control and Prevention . Core elements of hospital antibiotic stewardship programs. Published 2019. Accessed May 21, 2020. https://www.cdc.gov/antibiotic-use/healthcare/pdfs/hospital-core-elements-H.pdf
- 2.The White House . National strategy for combating antibiotic-resistant bacteria. Published September 2014. Accessed May 19, 2020. https://www.cdc.gov/drugresistance/pdf/carb_national_strategy.pdf
- 3.The White House . National action plan for combating antibiotic-resistant bacteria. Published March 2015. Accessed May 19, 2020. https://www.cdc.gov/drugresistance/pdf/national_action_plan_for_combating_antibotic-resistant_bacteria.pdf
- 4.US Centers for Disease Control and Prevention . Antimicrobial use and resistance module. Accessed May 21, 2020. https://www.cdc.gov/nhsn/acute-care-hospital/aur/index.html
- 5.Baggs J, Fridkin SK, Pollack LA, Srinivasan A, Jernigan JA. Estimating national trends in inpatient antibiotic use among US hospitals from 2006 to 2012. JAMA Intern Med. 2016;176(11):1639-1648. doi: 10.1001/jamainternmed.2016.5651 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Goodman KE, Cosgrove SE, Pineles L, et al. Significant regional differences in antibiotic use across 576 U.S. hospitals and 11,701,326 million adult admissions, 2016 – 2017. Clin Infect Dis. 2020;ciaa570. doi: 10.1093/cid/ciaa570 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Spivak ES, Cosgrove SE, Srinivasan A. Measuring appropriate antimicrobial use: attempts at opening the black box. Clin Infect Dis. 2016;63(12):1639-1644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Magill SS, Edwards JR, Bamberg W, et al. ; Emerging Infections Program Healthcare-Associated Infections and Antimicrobial Use Prevalence Survey Team . Multistate point-prevalence survey of health care-associated infections. N Engl J Med. 2014;370(13):1198-1208. doi: 10.1056/NEJMoa1306801 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Magill SS, Edwards JR, Beldavs ZG, et al. ; Emerging Infections Program Healthcare-Associated Infections and Antimicrobial Use Prevalence Survey Team . Prevalence of antimicrobial use in US acute care hospitals, May-September 2011. JAMA. 2014;312(14):1438-1446. doi: 10.1001/jama.2014.12923 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Magill SS, O’Leary E, Janelle SJ, et al. ; Emerging Infections Program Hospital Prevalence Survey Team . Changes in prevalence of health care–associated infections in U.S. hospitals. N Engl J Med. 2018;379(18):1732-1744. doi: 10.1056/NEJMoa1801550 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Magill SS, O’Leary E, Ray SM, et al. ; Emerging Infections Program Hospital Prevalence Survey Team . Antimicrobial use in US hospitals: comparison of results from Emerging Infections Program prevalence surveys, 2015 and 2011. Clin Infect Dis. 2020;ciaa373. doi: 10.1093/cid/ciaa373 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dean AG, Sullivan KM, Soe MM. OpenEpi: open source epidemiologic statistics for public health, version 3.01. Updated April 6, 2013. Accessed January 22, 2021. http://www.OpenEpi.com
- 13.Fagan R, Gualandi N, Beldavs ZG, et al. Developing an approach to evaluating the quality of antibiotic prescribing in hospitalized patients with community-acquired pneumonia (CAP) and non-catheter associated urinary tract infection (UTI). Poster 137 presented at: IDWeek; October 8-12, 2014; Philadelphia, PA. Accessed May 21, 2020. https://idsa.confex.com/idsa/2014/webprogram/Paper46797.html
- 14.Epstein L, O’Leary EN, Abanyie-Bimbo F, et al. Development of an antimicrobial prescribing quality evaluation pathway for adult patients with community-acquired pneumonia. Poster 328 presented at: Society for Healthcare Epidemiology of America Spring Conference; April 18-20, 2018; Portland, OR. [Google Scholar]
- 15.Abanyie-Bimbo F, O'Leary E, Nadle J, et al. Evaluation of vancomycin prescribing quality in hospitalized pediatric patients. Poster 275 presented at: IDWeek; October 3-7, 2018; San Francisco, CA. Accessed May 21, 2020. https://idsa.confex.com/idsa/2018/webprogram/Paper69112.html
- 16.Mandell LA, Wunderink RG, Anzueto A, et al. ; Infectious Diseases Society of America; American Thoracic Society . Infectious Diseases Society of America/American Thoracic Society consensus guidelines on the management of community-acquired pneumonia in adults. Clin Infect Dis. 2007;44(suppl 2):S27-S72. doi: 10.1086/511159 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Metlay JP, Waterer GW, Long AC, et al. Diagnosis and treatment of adults with community-acquired pneumonia: an official clinical practice guideline of the American Thoracic Society and Infectious Diseases Society of America. Am J Respir Crit Care Med. 2019;200(7):e45-e67. doi: 10.1164/rccm.201908-1581ST [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Gupta K, Hooton TM, Naber KG, et al. ; Infectious Diseases Society of America; European Society for Microbiology and Infectious Diseases . International clinical practice guidelines for the treatment of acute uncomplicated cystitis and pyelonephritis in women: a 2010 update by the Infectious Diseases Society of America and the European Society for Microbiology and Infectious Diseases. Clin Infect Dis. 2011;52(5):e103-e120. doi: 10.1093/cid/ciq257 [DOI] [PubMed] [Google Scholar]
- 19.Stevens DL, Bisno AL, Chambers HF, et al. ; Infectious Diseases Society of America . Practice guidelines for the diagnosis and management of skin and soft tissue infections: 2014 update by the Infectious Diseases Society of America. Clin Infect Dis. 2014;59(2):e10-e52. doi: 10.1093/cid/ciu296 [DOI] [PubMed] [Google Scholar]
- 20.Solomkin JS, Mazuski JE, Bradley JS, et al. Diagnosis and management of complicated intra-abdominal infection in adults and children: guidelines by the Surgical Infection Society and the Infectious Diseases Society of America. Clin Infect Dis. 2010;50(2):133-164. doi: 10.1086/649554 [DOI] [PubMed] [Google Scholar]
- 21.Trivedi KK, Bartash R, Letourneau AR, et al. ; Partnership for Quality Care (PQC) Inpatient Antimicrobial Stewardship Working Group . Opportunities to improve antibiotic appropriateness in U.S. ICUs: a multicenter evaluation. Crit Care Med. 2020;48(7):968-976. doi: 10.1097/CCM.0000000000004344 [DOI] [PubMed] [Google Scholar]
- 22.Tribble AC, Lee BR, Flett KB, et al. ; Sharing Antimicrobial Reports for Pediatric Stewardship (SHARPS) Collaborative . Appropriateness of antibiotic prescribing in United States children’s hospitals: a national point prevalence survey. Published online January 16, 2020. Clin Infect Dis. 2020;71(8):e226-e234. doi: 10.1093/cid/ciaa036 [DOI] [PubMed] [Google Scholar]
- 23.McMullan BJ, Hall L, James R, et al. Antibiotic appropriateness and guideline adherence in hospitalized children: results of a nationwide study. J Antimicrob Chemother. 2020;75(3):738-746. doi: 10.1093/jac/dkz474 [DOI] [PubMed] [Google Scholar]
- 24.National Centre for Antimicrobial Stewardship and Australian Commission on Safety and Quality in Health Care . Antimicrobial prescribing practice in Australian hospitals: results of the 2018 Hospital National Antimicrobial Prescribing Survey. Published January 2020. Accessed January 21, 2021. https://irp-cdn.multiscreensite.com/d820f98f/files/uploaded/Hospital%20NAPS%20Public%20Report%20-%202018.pdf
- 25.Rybak MJ, Le J, Lodise TP, et al. Therapeutic monitoring of vancomycin for serious methicillin-resistant Staphylococcus aureus infections: a revised consensus guideline and review by the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, the Pediatric Infectious Diseases Society, and the Society of Infectious Diseases Pharmacists. Am J Health Syst Pharm. 2020;77(11):835-864. doi: 10.1093/ajhp/zxaa036 [DOI] [PubMed] [Google Scholar]
- 26.Madaras-Kelly KJ, Burk M, Caplinger C, et al. ; Pneumonia Duration of Therapy Medication Utilization Evaluation Group . Total duration of antimicrobial therapy in veterans hospitalized with uncomplicated pneumonia: results of a national medication utilization evaluation. J Hosp Med. 2016;11(12):832-839. doi: 10.1002/jhm.2648 [DOI] [PubMed] [Google Scholar]
- 27.Vaughn VM, Flanders SA, Snyder A, et al. Excess antibiotic treatment duration and adverse events in patients hospitalized with pneumonia: a multihospital cohort study. Ann Intern Med. 2019;171(3):153-163. doi: 10.7326/M18-3640 [DOI] [PubMed] [Google Scholar]
- 28.Yi SH, Hatfield KM, Baggs J, et al. Duration of antibiotic use among adults with uncomplicated community-acquired pneumonia requiring hospitalization in the United States. Clin Infect Dis. 2018;66(9):1333-1341. doi: 10.1093/cid/cix986 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Nicolle LE, Gupta K, Bradley SF, et al. Clinical practice guideline for the management of asymptomatic bacteriuria: 2019 update by the Infectious Diseases Society of America. Clin Infect Dis. 2019;68(10):e83-e110. doi: 10.1093/cid/ciz021 [DOI] [PubMed] [Google Scholar]
- 30.Fridkin S, Baggs J, Fagan R, et al. ; Centers for Disease Control and Prevention (CDC) . Vital signs: improving antibiotic use among hospitalized patients. MMWR Morb Mortal Wkly Rep. 2014;63(9):194-200. [PMC free article] [PubMed] [Google Scholar]
- 31.Spivak ES, Burk M, Zhang R, et al. ; Management of Urinary Tract Infections Medication Use Evaluation Group . Management of bacteriuria in Veterans Affairs hospitals. Clin Infect Dis. 2017;65(6):910-917. doi: 10.1093/cid/cix474 [DOI] [PubMed] [Google Scholar]
- 32.Hartley SE, Kuhn L, Valley S, et al. Evaluating a hospitalist-based intervention to decrease unnecessary antimicrobial use in patients with asymptomatic bacteriuria. Infect Control Hosp Epidemiol. 2016;37(9):1044-1051. doi: 10.1017/ice.2016.119 [DOI] [PubMed] [Google Scholar]
- 33.Keller SC, Feldman L, Smith J, Pahwa A, Cosgrove SE, Chida N. The use of clinical decision support in reducing diagnosis of and treatment of asymptomatic bacteriuria. J Hosp Med. 2018;13(6):392-395. doi: 10.12788/jhm.2892 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Daniel M, Keller S, Mozafarihashjin M, Pahwa A, Soong C. An implementation guide to reducing overtreatment of asymptomatic bacteriuria. JAMA Intern Med. 2018;178(2):271-276. doi: 10.1001/jamainternmed.2017.7290 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.