Background: The study aims to compare antibiotic prescribing trends for U.S. COVID-19 patients, categorized by disease severity, and non-COVID-19 population with similar symptoms during 2019-2020 pandemic.
Methods: A retrospective observational cohort design using Symphony Health (January-November 2020). Sample population included about 13.3 million patients with at least one prescription claim ±6 months from date of diagnosis of COVID-19 or COVID-19 like symptom. Cohorts were categorized based on diagnosis codes; COVID-19 positive cohorts 1 to 3 with severe, mild, and no symptoms, respectively and non-COVID-19 cohorts 4 and 5 with severe and mild symptoms, respectively. Descriptive statistics were calculated for demographic characteristics and acute antibiotic utilization (≤7 days) including total number of antibiotics, weekly rate of prescribing, and proportion of fills in three "appropriateness" categories (always appropriate, potentially appropriate, never appropriate).
Results: Three cohorts with a positive COVID-19 diagnosis code constituted a total of about 1.8 million patients (13.53%). About 22.79% of COVID-19 positive groups had severe symptoms, 24.43% had moderate symptoms and the majority, 52.78%, had no symptoms. In the analytical sample of 13 million, about 4.2 million antibiotic prescriptions were prescribed to 2.5 million patients (19%) within 7 days of the first diagnosis of either COVID-19 or COVID-19-like symptoms. Within the COVID-19 positive cohorts, about 11% received an antibiotic prescription, while the non-COVID-19 cohorts, about 19.70% received an antibiotic. Among patients with antibiotic prescriptions, about 37.01% were prescribed an antibiotic "appropriately", 39.46% were prescribed a "potentially appropriate" antibiotic and about 22.64% received an "inappropriate" antibiotic. Among patients prescribed antibiotics, azithromycin was the most common, ranging from 21.80 to 44.80% for each cohort.
Conclusions: Although the overall proportion of COVID-19 patients receiving antibiotics was much lower than non-COVID-19 patients, the findings suggest use of antibiotics persisted despite guidelines against widespread use, particularly for patients with moderate and mild COVID-19 symptoms.
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http://dx.doi.org/10.1016/j.sapharm.2022.05.008 | DOI Listing |
Psychol Rep
January 2025
Department of Psychology, Liaoning Normal University, Dalian, China.
Prior research has explored the relationship between boredom and smartphone addiction (SPA), but significant discrepancies remain. Moreover, the outbreak of the COVID-19 pandemic may have altered this association. Thus, this meta-analysis aims to clarify the true relationship between boredom and SPA, while also analyzing potential moderating factors.
View Article and Find Full Text PDFNurs Open
January 2025
Department of Nursing, Haliç University Faculty of Health Sciences, İstanbul, Turkey.
Aim: This study examined the experiences of nursing students who attended hospital clinicals during the COVID-19 pandemic.
Design: Study was conducted in a descriptive design.
Methods: A total of 21 nursing students from the second, third and fourth grades who attended hospital clinics in the spring semester of the 2020-2021 academic year and volunteered to participate in the study were included in the study.
Front Epidemiol
January 2025
GHI One Health Colombia, Universidad Nacional de Colombia, Medellín, Colombia.
Objectives: Surveillance of acute respiratory infection (ARI) informs vaccination, preventive, and management decisions. In many countries, immunofluorescence is the cornerstone for ARI surveillance. We aimed to determine the effect of adding multiplex polymerase chain reaction (mPCR) to conventional surveillance in ARI.
View Article and Find Full Text PDFElectronic health records (EHRs) contain rich temporal data about infectious diseases, but an optimal approach to identify infections remains undefined. Using the Research Program, we developed computable phenotypes for respiratory viruses by integrating billing codes, prescriptions, and laboratory results within 90-day episodes. Phenotypes computed from 265,222 participants yielded cohorts ranging from 238 (adenovirus) to 28,729 (SARS-CoV-2) cases.
View Article and Find Full Text PDFCureus
December 2024
Public Health, Nova Southeastern University Dr. Kiran C. Patel College of Osteopathic Medicine, Fort Lauderdale, USA.
Adolescents with diabetes mellitus (DM) experience poorer glycemic outcomes and lower adherence to self-management regimens compared to other age groups. The coronavirus 2019 (COVID-19) pandemic posed new barriers to DM self-management, including social distancing measures and additional stressors. We conducted a scoping review of peer-reviewed literature to examine self-management regimens and outcomes among adolescents aged 10-17 years with type 1 and type 2 DM during the pandemic.
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