Introduction
Tele-antimicrobial stewardship programs (TASPs) have emerged as a practical way to optimize antimicrobial use at smaller hospitals that often lack infectious diseases (ID) expertise. Reference Andrzejewski, McCreary and Khadem1 Several successful TASP models have been described, though results of targeted disease state-specific interventions in this setting remain limited. Reference Peworchik, Banerjee and Katz2 Our health system implemented a TASP utilizing prospective audit with intervention and feedback (PAIF) as our primary antimicrobial stewardship method. We experienced an 86 percent accepted intervention rate along with a decrease in annual antimicrobial expenditures per total patients from $11.20 to $5.36 during our first two years of our TASP at a 49-bed community hospital. Reference Ross and Chandorkar3
During this time, skin and soft tissue infections (SSTIs) were a common disease state encountered at TASP rounds. Diverse etiologies from non-purulent cellulitis to necrotizing fasciitis make clinical diagnosis challenging. Reference Stevens, Bisno and Chambers4 Non-infectious disease states, like thrombosis and venous stasis dermatitis, mimic SSTIs. A recent retrospective, observational cohort study in the United States reported 5.4 million patients had 9.1 million SSTI episodes. Reference Vella, Derreumaux and Aris5 While the SSTI incidence rate remained stable, evidence supported an evolving SSTI epidemiology, possibly due to an aging population with increasing prevalence of comorbid conditions and immunocompromised states, known to be risk factors for SSTI, as well as community-acquired multidrug-resistant infections. Reference Vella, Derreumaux and Aris5
We introduced an evidence-based guideline for the empiric treatment of SSTIs for adult patients to establish a best practice framework. We sought to analyze empiric antibiotic prescribing changes for SSTIs pre and postguideline implementation at a single TASP hospital.
Methods
M Health Fairview Lakes (MHF Lakes) is a 49-bed community hospital in Wyoming, Minnesota. A co-led ID provider and ID pharmacist TASP was initiated in August 2020. Reference Ross and Chandorkar3 Through daily TASP workflows, the ID pharmacist reviews patients on broad antimicrobial agents, identifying patients that warrant further intervention. Formal antimicrobial stewardship progress notes are drafted for discussion with the ID provider during rounds. Subsequently, these notes are placed in the chart, and recommendations are relayed to on-site hospitalists.
Early on after TASP implementation, an anecdotal trend of broad antimicrobial use for non-purulent cellulitis prompted further investigation. A report of patients at least eighteen years of age who started empiric antibiotic(s) while in the Emergency Department (ED) for an SSTI, then subsequently admitted to the hospital between October 2020 from September 2021 was generated for retrospective review. In December 2022, an internal SSTI guideline was created by study investigators and disseminated with MHF Lakes ED and medicine providers. A year after guideline implementation, we re-generated the report and retrospectively reviewed patients from January to December 2023 to compare antibiotic prescribing practices pre and post SSTI guideline implementation. Antipseudomonal agents included piperacillin-tazobactam, cefepime, meropenem, and ciprofloxacin. The type of SSTI was determined by two reviewers, not study investigators, using ED provider description and pictures uploaded into the electronic health record. If the SSTI type was not clear, reviewers shared the case with study investigators for determination. Additional variables assessed included antibiotic allergies, antibiotic receipt prior to hospitalization, history of methicillin-resistant Staphylococcus aureus isolation, and presence or absence of systemic inflammatory response syndrome (SIRS) on arrival to the ED. We examined differences in monotherapy and combination antibiotics to better describe patients who received multiple agents. Most combinations included vancomycin plus a beta-lactam. Given small counts, further statistical analysis of the specific combinations was not pursued. We compared antipseudomonal prescribing as these agents are not often warranted empirically for SSTIs. A Fisher exact test was used to determine statistical significance between categorial variables.
Results
The characteristics of the pre and postintervention cohorts are described in Table 1. The postintervention cohort included 84 patients compared to 113 in the preintervention cohort. The most common SSTIs were non-purulent cellulitis (pre: 52% vs post: 48%). There was a higher frequency of diabetic foot infections in the postintervention group (24%) versus 14% in the preintervention group. The proportion of patients started on empiric combination antibiotic therapy did not change (pre: 58% vs post: 56%; P-value = .88). We experienced a statistically significant decrease in empiric anti-pseudomonal therapy with 57/177 anti-pseudomonal agents prescribed preintervention versus 28/137 prescriptions postintervention (pre: 32%; post: 20%; P-value = .02). Figure 1 shows a breakdown of antimicrobial agents prescribed. The frequency of antimicrobial stewardship rounding was not statistically significant, though trending towards a decreased frequency in the postintervention group (pre: 22%; post: 15%; P-value = .43).
Breakdown of antipseudomonal agents prescribed in the pre and postimplementation cohorts.

Characteristics of pre and postimplementation cohorts who were admitted with an SSTI through the ED

Table 1. Long description
A table comparing characteristics of pre and post-implementation cohorts of patients admitted with skin and soft tissue infections (SSTIs) through the emergency department. The table has 15 rows and 5 columns. Column headers are Pre-implementation (n = 113 patients), Post-implementation (n = 84 patients), P-value, Pre-implementation (n = 177 prescriptions), Post-implementation (n = 137 prescriptions), and P-value. Row labels include SSTI Type, Single vs multiple antibiotic(s), TASP rounding, and Antibiotic breakdown. Row 1: SSTI Type, Abscess, 5 (4 percent), 6 (7 percent), N/A. Row 2: Diabetic foot infection, 16 (14 percent), 20 (24 percent), N/A. Row 3: Non-purulent cellulitis, 59 (52 percent), 40 (48 percent), N/A. Row 4: Purulent cellulitis, 18 (16 percent), 7 (8 percent), N/A. Row 5: Other, 15 (13 percent), 11 (13 percent), N/A. Row 6: Single vs multiple antibiotic(s), Monotherapy, 48 (42 percent), 37 (44 percent), 0.88. Row 7: Combination therapy, 65 (58 percent), 47 (56 percent), 0.88. Row 8: TASP rounding, Yes, 11 (22 percent), 6 (15 percent), 0.43. Row 9: No, 38 (78 percent), 34 (85 percent), 0.43. Row 10: Antibiotic breakdown, Vancomycin, 60 (34 percent), 48 (35 percent), N/A. Row 11: Piperacillin-tazobactam, 47 (26.5 percent), 26 (19 percent), N/A. Row 12: Cefazolin, 20 (11 percent), 20 (15 percent), N/A. Row 13: Ceftriaxone, 20 (11 percent), 20 (15 percent), N/A. Row 14: Ampicillin-sulbactam, 7 (4 percent), 11 (8 percent), N/A. Row 15: Clindamycin, 6 (3 percent), 6 (4 percent), N/A. Row 16: Metronidazole, 3 (2 percent), 2 (2 percent), N/A. Row 17: Sulfamethoxazole-trimethoprim, 0 (0 percent), 1 (0.5 percent), N/A. Row 18: Cefepime, 6 (3 percent), 1 (0.5 percent), N/A. Row 19: Cephalexin, 2 (1 percent), 1 (0.5 percent), N/A. Row 20: Meropenem, 3 (2 percent), 1 (0.5 percent), N/A. Row 21: Ciprofloxacin, 1 (0.5 percent), 0 (0 percent), N/A. Row 22: Daptomycin, 1 (0.5 percent), 0 (0 percent), N/A. Row 23: Doxycycline, 1 (0.5 percent), 0 (0 percent), N/A. Row 24: Empiric antipseudomonal coverage, Yes, 57 (32 percent), 28 (20 percent), 0.02. Row 25: No, 120 (68 percent), 109 (80 percent), 0.02.
Discussion
Treatment of SSTIs requires careful assessment of risk factors, exposures, and time course with a need for close monitoring of improvement while on antibiotics. Pseudomonas aeruginosa involvement in SSTIs is rare, and current guidelines recommend against empiric coverage unless evidence of a necrotizing infection or in the setting of fever and neutropenia. Reference Stevens, Bisno and Chambers4 Even in chronic SSTIs (eg, diabetic foot infections), empiric antipseudomonal coverage is not always warranted. Reference Albalawi and van Asten6
In this investigation, we demonstrate a statistically significant decrease in empiric anti-pseudomonal prescriptions for all SSTIs at a small community hospital with a TASP. We also share an example where targeting a single infection type in a fully remote TASP proved beneficial. An ID provider and ID pharmacist met virtually with ED providers to share preimplementation findings. Based on ED provider feedback, we worked on aligning our sepsis bundle to our internal SSTI guideline. The same virtual in-service presentation and discussion was done with inpatient hospitalist providers. The SSTI guideline was formally approved at the health system’s antimicrobial stewardship committee. We leveraged on-site pharmacists to further ensure guideline adherence. Notably, we experienced more diabetic foot infections in the postimplementation group with a greater tendency to use antipseudomonal agents given prior antibiotic exposure and microbiological history. We hypothesize a greater decrease in antipseudomonal agent prescribing if the proportion of diabetic foot infections were similar between the two cohorts.
The study has several limitations. The small sample size and single-center experience may not be applicable to other antimicrobial stewardship programs, especially at large academic medical centers. We did not investigate other common antimicrobial stewardship metrics, such as days of therapy per 1,000 patient days and standardized antimicrobial administration ratio given the focus of only SSTIs. With two reviewers, one focused on the preimplementation data collection phase and the other on the postphase, reviewer bias may have been introduced. The impact of daily TASP workflows is difficult to quantify. Patients in the preimplementation group represent a period within the first two years of our TASP whereas those in the postgroup were greater than two years out from implementation, a period in which general improvement to our TASP is anticipated. We did not capture the proportion of antibiotic orders once under the care of the hospitalist, which may have better described the impact of our internal guideline. Finally, the impact of the COVID-19 pandemic on antimicrobial prescribing practices remains uncertain.
In summary, we share a targeted tele-antimicrobial stewardship initiative for SSTIs that was shown to decrease empiric anti-pseudomonal prescribing in patients admitted from the ED at a small community hospital. This example may help guide other TASPs looking to improve prescribing practices for a single infection indication. By targeting single infection indications, this may lend to a greater measurable impact on all antimicrobial prescribing as prospective audit and feedback allows for continual monitoring of provider response to antimicrobial stewardship interventions.
Acknowledgements
Meredith Grunig, PharmD; Mitchel Ryan, PharmD; Brady Caverzagie, PharmD for their assistance with data collection and analysis.
Author contribution
JR: conceptualization, methodology, data curation, formal analysis, writing—original draft. AC: methodology, formal analysis, writing—review and editing.
Financial support
None reported.
Competing interests
All authors report no potential conflicts of interest relevant to this article.
