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Ton, Angie

https://orcid.org/0000-0003-0063-6386

Mayo Clinic

Mayo Clinic in Arizona

Citations 5

Trends in Long-Duration Antibiotic Prescribing Following Focused Outpatient Antimicrobial Stewardship Efforts Across a Large Healthcare Enterprise
Ilges, Dan , Jensen, Kelsey , Draper, Evan , Thompson, E., Quillen, Jaxon , Hannan, Kellie Arensman, Ton, Angie , Prigge, Kimberly , Vergidis, Paschalis , Virk, Abinash, Hannan, Kellie N. Arensman , Arensman Hannan, Kellie , Ton, Angie Nu , Prigge, Kimberly A , Virk, Abinash , Stevens, Ryan W , Vergidis, Paschalis , Jensen, Kelsey , Ilges, Dan , Quillen, Jaxon K , Virk, Abinash , Stevens, Ryan W.

Clinical Infectious Diseases | April 8, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/cid/ciag244 Get It

Abstract Background Outpatient antibiotic stewardship programs (ASP) are recommended by the CDC and Joint Commission. We analyzed the impact of annual, focused syndrome-specific ASP interventions on trends in long-duration antibiotic prescribing (LDAP). Methods This was a retrospective, observational, multicenter cohort study from November 2020 through June 2025. All ambulatory encounters generating systemic antibiotic prescriptions within the healthcare enterprise were screened. Hospitalizations, emergency department visits, and infectious diseases encounters were excluded. Encounters generating ≥1 systemic antibiotic with >7 days duration were categorized as long-duration. Targeted departments (primary and urgent care) received direct intervention (eg, education, peer-comparison reporting, data tracking). LDAP was modeled over time by month and compared by diagnosis group (ASP-priority diagnoses vs nonpriority) and provider specialty department (ASP-targeted vs nontargeted) using linear regression models. Results Of 642 579 encounters included, 42.2% were long duration. LDAP in ASP-targeted departments dropped from 46.8% to 34.8% (difference −12 percentage points [pp]), whereas nontargeted departments dropped from 45.5% to 39.1% (difference −6.4 pp). The estimated annual LDAP decrease was 3.4 pp in targeted versus 2.4 pp in nontargeted departments (difference 1.0 pp, P = .009). Within targeted departments, significant LDAP decreases were seen both in priority and nonpriority diagnoses, whereas nontargeted departments showed no change in LDAP in priority diagnoses. In a sensitivity analysis of nonpriority diagnoses, ASP-targeted departments had a larger estimated annual decrease in LDAP versus nontargeted (difference 1.4 pp, P < .001). Conclusions Annual syndrome-specific ASP interventions correlated with improvements in LDAP, including outside of priority syndromes in targeted departments. LDAP is a viable metric for evaluating ambulatory ASPs.
Outpatient penicillin allergy de-labeling in primary care—whom to target
Ton, Angie , Ilges, Dan , Ilges, Dan

Antimicrobial Stewardship & Healthcare Epidemiology | March 27, 2026 | Volume: 6 | Issue: 1 | Pages: No page available

10.1017/ash.2026.10331 Get It

Abstract Education and allergy referral via nurse-driven online messaging to patients (n = 1,284) with penicillin allergy labels (PALs) reduced PALs by 8.6%. The percentage decrease of “unknown” (14.8%) and “rash” (7.9%) PALs were higher vs “hives” (6.1%) and “itching” (1.4%) reaction types.
Specification and de-labelling of unspecified allergic reactions to penicillins at a family medicine clinic
Ton, Angie , Ilges, Dan , Ton, Angie Nu , Ilges, Dan

BMJ Open Quality | July 15, 2024 | Volume: 13 | Issue: 3 | Pages: e002785

10.1136/bmjoq-2024-002785 Get It

Sleep and the Young Athlete
Coel, Rachel A. , Applewhite, Andres I. , Zaslow, Tracy , Cooper, George , Ton, Angie , Benjamin, Holly J. , Ton, Angie N, Pujalte, George G.A. , Cooper, George

Sports Health: A Multidisciplinary Approach | July 20, 2022 | Volume: 15 | Issue: 4 | Pages: 537-546

10.1177/19417381221108732 Get It

Context: Sleep plays a vital role in cognitive and physical performance. Teenage athletes (ages 13-19 years) are considered especially at risk for disordered sleep and associated negative cognitive, physical, and psychosomatic effects. However, there is a paucity of evidence-based recommendations to promote sleep quality and quantity in athletes who fall within this age range. We performed a review of the literature to reveal evidence-based findings and recommendations to help sports instructors, athletic trainers, physical therapists, physicians, and other team members caring for young athletes provide guidance on sleep optimization for peak sports performance and injury risk reduction. Methods: PubMed, Scopus, and Cochrane CENTRAL were searched on May 11, 2016, and then again on September 1, 2020, for relevant articles published to date. Study Design: Narrative review. Level of Evidence: Level 4. Results: Few studies exist on the effects disordered sleep may have on teenage athletes. By optimizing sleep patterns in young athletes during training and competitions, physical and mental performance, and overall well-being, may be optimized. Adequate sleep has been shown to improve the performance of athletes, although further studies are needed. Conclusion: Twenty-five percent of total sleep time should be deep sleep, with a recommended sleep time of 8 to 9 hours for most young athletes. Screen and television use during athletes’ bedtime should be minimized to improve sleep quality and quantity. For young athletes who travel, jet lag can be minimized by allowing 1 day per time zone crossed for adjustment, limiting caffeine intake, planning meals and onboard sleeping to coincide with destination schedules, timing arrivals in the morning whenever possible, and using noise-canceling headphones and eyeshades. Strength-of-Recommendation Taxonomy (SORT): B.
Establishing Mayo Clinic's Coronavirus Disease 2019 Virtual Clinic: A Preliminary Communication
Jethwa, Tarang , Ton, Angie , Molina, Carolina Stefany Paredes, Speicher, Leigh L. , Walsh, Katherine, Davlantes, Timothy, Francis, Dawn L., Paredes Molina, Carolina Stefany, Speicher, Leigh, Knight, Dacre , Francis, Dawn, Knight, Dacre R T

Telemedicine and e-Health | June 9, 2020 | Volume: 26 | Issue: 11 | Pages: 1419-1423

10.1089/tmj.2020.0145 Get It

The coronavirus disease 2019 (COVID-19) pandemic is taking a massive toll on health care systems globally. We developed the COVID-19 virtual clinic (CVC) in conjunction with drive through testing to cope with this situation. There are two arms of the CVC: (1) a screening arm and (2) positive patient arm. Screening is performed over the phone based on the Centers for Disease Control and Prevention screening guideline. Positive patients are followed at regular intervals by video appointments where concerns can be addressed by a provider while also tracking symptom progression. We enrolled 63 positive patients out of 1,153 screened for COVID-19 as of this writing. The CVC continues to address patients' concerns and symptoms in an effort to minimize emergency department and hospital patient volumes, as incidence increases. Drive through testing in conjunction with a virtual clinic allows us to provide high-quality care in an anxious time without consuming excessive personal protective equipment or unnecessarily exposing health care workers. This article could serve as a model to guide other practices to cope with this and future pandemics.