Sustained Reduction in Urgent Care Antibiotic Prescribing During the Coronavirus Disease 2019 Pandemic: An Academic Medical Center’s Experience
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ABSTRACT:
SUBMITTER: Ha D
PROVIDER: S-EPMC8802794 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Abstract We validated different coronavirus disease 2019 (COVID-19) International Classification of Diseases, Tenth Edition (ICD-10) encounter definitions across 2 urgent care clinics. Sensitivity of definitions varied throughout the pandemic. Inclusion of COVID-19 and COVID-19-like illness (CLI) ICD-10s rendered highest sensitivity but lowest specificity. Antibiotic prescribing rates were low for COVID-19 ICD-10 encounters, increasing with CLI ICD-10 encounters. We evaluated different coronavirus disease 2019 (COVID-19) encounter definitions across two urgent care clinics using ICD10 billing data. A composite definition which included COVID-19 or COVID-19-like ICD10s yielded highest sensitivity and remained stable. Antibiotic prescribing rates differed across encounter definitions.
| S-EPMC9897297 | biostudies-literature
Project description: Not available
| S-EPMC7456835 | biostudies-literature
Project description:BackgroundAntibiotic-inappropriate prescribing for acute respiratory tract infections (ARTI) is 45% among urgent care centers (UCCs) in the United States. Locally in our UCCs, antibiotic-inappropriate prescribing for ARTI is higher-over 70%.MethodsWe used a quasi-experimental design to implement 3 behavioral interventions targeting antibiotic-inappropriate/non-guideline-concordant prescribing for ARTI at 3 high-volume rural UCCs and analyzed prescribing rates pre- and post-intervention. The 3 interventions were (1) staff/patient education, (2) public commitment, and (3) peer comparison. For peer comparison, providers were sent feedback emails with their prescribing data during the intervention period and a blinded ranking email comparing them with their peers. Providers were categorized as "low prescribers" (ie, ≤23% antibiotic-inappropriate prescriptions based off the US National Action Plan for Combating Antibiotic Resistant Bacteria 2020 goal) or "high prescribers" (ie, ≥45%-the national average of antibiotic-inappropriate prescribing for ARTI). An interrupted time series (ITS) analysis compared prescribing for ARTI (the primary outcome) over a 16-month period before the intervention and during the 6-month intervention period, for a total of 22 months, across the 3 UCCs.ResultsFewer antibiotic-inappropriate prescriptions were written during the intervention period (57.7%) compared with the pre-intervention period (72.6%) in the 3 UCCs, resulting in a 14.9% absolute decrease in percentage of antibiotic-inappropriate prescriptions. The ITS analysis revealed that the rate of antibiotic-inappropriate prescribing was statistically significantly different pre-intervention compared with the intervention period (95% confidence interval, -4.59 to -0.59; P = .014).ConclusionsIn this sample of rural UCCs, we reduced antibiotic-inappropriate prescribing for ARTI using 3 behavioral interventions.
| S-EPMC7341903 | biostudies-literature
Project description:We estimated the fraction of antibiotic prescribing in the United States attributable to gonorrhea. Gonorrhea contributes to an outsized proportion of antibiotic prescriptions in young adults, males, and in the southern and western United States. A gonococcal vaccine could substantially reduce antibiotic prescribing in these populations.
| S-EPMC8522794 | biostudies-literature
Project description:Improving antibiotic prescribing in outpatient settings is a public health priority. In the United States, urgent care (UC) encounters are increasing and have high rates of inappropriate antibiotic prescribing. Our objective was to characterize antibiotic prescribing practices during UC encounters, with a focus on respiratory tract conditions. This was a retrospective cohort study of UC encounters in the Intermountain Healthcare network. Among 1.16 million UC encounters, antibiotics were prescribed during 34% of UC encounters and respiratory conditions accounted for 61% of all antibiotics prescribed. Of respiratory encounters, 50% resulted in antibiotic prescriptions, yet the variability at the level of the provider ranged from 3% to 94%. Similar variability between providers was observed for respiratory conditions where antibiotics were not indicated and in first-line antibiotic selection for sinusitis, otitis media, and pharyngitis. These findings support the importance of developing antibiotic stewardship interventions specifically targeting UC settings.
| S-EPMC7768670 | biostudies-literature
Project description:BackgroundEarlier studies have reported high antibiotic use in patients hospitalised for coronavirus disease 2019 (COVID-19), resulting in concerns of increasing antimicrobial resistance with increase antibiotic use in this pandemic. Point prevalence survey (PPS) can be a quick tool to provide antibiotic prescribing information to aid antimicrobial stewardship (AMS) activities.ObjectivesTo describe antibiotic utilization and evaluate antibiotic appropriateness in COVID-19 patients using PPS.MethodsAdapting Global-PPS on antimicrobial use, the survey was conducted in COVID-19 wards at 2 centres in Singapore on 22 April 2020 at 0800h. Patients on systemic antibiotics were included and evaluated for antibiotic appropriateness.ResultsFive hundred and seventy-seven patients were screened. Thirty-six (6.2%) patients were on antibiotics and which were started at median of 7 days (inter-quartile rate (IQR), 4, 11) from symptom onset. Fifty-one antibiotics were prescribed in these patients. Overall, co-amoxiclav (26/51, 51.0%) was the most often prescribed antibiotic. Thirty-one out of 51 (60.8%) antibiotic prescriptions were appropriate. Among 20 inappropriate prescriptions, 18 (90.0%) were initiated in patients with low likelihood of bacterial infections. Antibiotic prescriptions were more appropriate when reviewed by infectious diseases physicians (13/31 [41.9%] versus 2/20 [10.0%], p=0.015), and if reasons for use were stated in notes (31/31 [100.0%] versus 16/20 [80.0%], p=0.019).ConclusionsDespite low prevalence of antibiotic use among confirmed and suspected COVID-19 patients at 2 centres in Singapore, there was significant proportion of inappropriate antibiotics use where bacterial infections were unlikely. AMS teams can tailor stewardship strategies using PPS results.
| S-EPMC7722492 | biostudies-literature
Project description:Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a global pandemic. SARS-CoV-2 binds to the angiotensin-converting enzyme 2 receptor, which is abundantly expressed in vascular endothelial cells and damages these cells. Besides pneumonia-induced respiratory failure, thrombotic cardiovascular complications are increasingly emerging as a major COVID-19 symptom. Multiple retrospective studies have strongly suggested that anticoagulant therapy improves the prognosis of people with COVID-19. However, validation of the safety and effectiveness of anticoagulant therapy for COVID-19 and greater awareness of this clinical therapeutic option are urgently needed.
| S-EPMC7479536 | biostudies-literature
Project description:BACKGROUND:An outbreak of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 was first detected in Wuhan, Hubei, China. People of all ages are susceptible to SARS-CoV-2 infection. No information on severe pediatric patients with COVID-19 has been reported. We aimed to describe the clinical features of severe pediatric patients with COVID-19. METHODS:We included eight severe or critically ill patients with COVID-19 who were treated at the Intensive Care Unit (ICU), Wuhan Children's Hospital from January 24 to February 24. We collected information including demographic data, symptoms, imaging data, laboratory findings, treatments and clinical outcomes of the patients with severe COVID-19. RESULTS:The onset age of the eight patients ranged from 2 months to 15 years; six were boys. The most common symptoms were polypnea (8/8), followed by fever (6/8) and cough (6/8). Chest imaging showed multiple patch-like shadows in seven patients and ground-glass opacity in six. Laboratory findings revealed normal or increased whole blood counts (7/8), increased C-reactive protein, procalcitonin and lactate dehydrogenase (6/8), and abnormal liver function (4/8). Other findings included decreased CD16?+?CD56 (4/8) and Th/Ts*(1/8), increased CD3 (2/8), CD4 (4/8) and CD8 (1/8), IL-6 (2/8), IL-10 (5/8) and IFN-? (2/8). Treatment modalities were focused on symptomatic and respiratory support. Two critically ill patients underwent invasive mechanical ventilation. Up to February 24, 2020, three patients remained under treatment in ICU, the other five recovered and were discharged home. CONCLUSIONS:In this series of severe pediatric patients in Wuhan, polypnea was the most common symptom, followed by fever and cough. Common imaging changes included multiple patch-like shadows and ground-glass opacity; and a cytokine storm was found in these patients, which appeared more serious in critically ill patients.
| S-EPMC7091225 | biostudies-literature
Project description:BackgroundAntibiotics are frequently prescribed unnecessarily in outpatients with coronavirus disease 2019 (COVID-19). We sought to evaluate factors associated with antibiotic prescribing in outpatients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.MethodsWe performed a population-wide cohort study of outpatients aged ≥66 years with polymerase chain reaction-confirmed SARS-CoV-2 from 1 January 2020 to 31 December 2021 in Ontario, Canada. We determined rates of antibiotic prescribing within 1 week before (prediagnosis) and 1 week after (postdiagnosis) reporting of the positive SARS-CoV-2 result, compared to a self-controlled period (baseline). We evaluated predictors of prescribing, including a primary-series COVID-19 vaccination, in univariate and multivariable analyses.ResultsWe identified 13 529 eligible nursing home residents and 50 885 eligible community-dwelling adults with SARS-CoV-2 infection. Of the nursing home and community residents, 3020 (22%) and 6372 (13%), respectively, received at least 1 antibiotic prescription within 1 week of a SARS-CoV-2 positive result. Antibiotic prescribing in nursing home and community residents occurred, respectively, at 15.0 and 10.5 prescriptions per 1000 person-days prediagnosis and 20.9 and 9.8 per 1000 person-days postdiagnosis, higher than the baseline rates of 4.3 and 2.5 prescriptions per 1000 person-days. COVID-19 vaccination was associated with reduced prescribing in nursing home and community residents, with adjusted postdiagnosis incidence rate ratios (95% confidence interval) of 0.7 (0.4-1) and 0.3 (0.3-0.4), respectively.ConclusionsAntibiotic prescribing was high and with little or no decline following SARS-CoV-2 diagnosis but was reduced in COVID-19-vaccinated individuals, highlighting the importance of vaccination and antibiotic stewardship in older adults with COVID-19.
| S-EPMC10425187 | biostudies-literature
Project description:ObjectivesDespite a strong link between antibiotic use and resistance, and highly variable antibiotic consumption rates across the USA, drivers of differences in consumption rates are not fully understood. The objective of this study was to examine how provider density affects antibiotic prescribing rates across socioeconomic groups in the USA.MethodsWe aggregated data on all outpatient antibiotic prescriptions filled in retail pharmacies in the USA in 2000 and 2010 from IMS Health into 3436 geographically distinct hospital service areas and combined this with socioeconomic and structural factors that affect antibiotic prescribing from the US Census. We then used fixed-effect models to estimate the interaction between poverty and the number of physician offices per capita (i.e. physician density) and the presence of urgent care and retail clinics on antibiotic prescribing rates.ResultsWe found large geographical variation in prescribing, driven in part by the number of physician offices per capita. For an increase of one standard deviation in the number of physician offices per capita there was a 25.9% increase in prescriptions per capita. However, the determinants of the prescription rate were dependent on socioeconomic conditions. In poorer areas, clinics substitute for traditional physician offices, reducing the impact of physician density. In wealthier areas, clinics increase the effect of physician density on the prescribing rate.ConclusionsIn areas with higher poverty rates, access to providers drives the prescribing rate. However, in wealthier areas, where access is less of a problem, a higher density of providers and clinics increases the prescribing rate, potentially due to competition.
| S-EPMC4398474 | biostudies-literature