Purpose: To analyze the structure of antibiotic prescriptions by dentists in Germany during a time-period of four years in relation to medical antibiotic prescriptions.
Materials And Methods: We collected nationwide data from all statutory health insurances on dental prescriptions of systemic antibiotics from 2012 to 2015. The annual reports of the "Research Institute for Local Health Care Systems" (WIdO, Berlin) provided the basis for this longitudinal data base analysis. The types of antibiotics, the number of prescriptions and the prescribed 'defined daily doses' (DDD) were analyzed. The results were compared to antibiotic prescriptions of German physicians.
Results: An average of 8.8% per year of all antibiotic prescriptions is issued by dentists. The mostly prescribed antibiotic is amoxicillin. The share of amoxicillin on all dental prescriptions increased from 35.6% in 2012 to 45.8% in 2015 (p < 0.01). About three-quarters of all dentally prescribed DDD can be attributed to amoxicillin and clindamycin. On the part of the physicians the proportion of clindamycin is 18 fold lower than in the dental field.
Conclusions: Dental and medical antibiotic prescriptions in Germany show statistically significant differences regarding the shares of the prescribed antibiotics. In an international comparison the high proportion of Clindamycin in Germany is noticeable.
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http://dx.doi.org/10.1016/j.jcms.2017.08.010 | DOI Listing |
Am Fam Physician
January 2025
University of Kansas Medical Center, Kansas City.
Acute rhinosinusitis causes more than 30 million patients to seek health care per year in the United States. Respiratory tract infections, including bronchitis and sinusitis, account for 75% of outpatient antibiotic prescriptions in primary care. Sinusitis is a clinical diagnosis; the challenge lies in distinguishing between the symptoms of bacterial and viral sinusitis.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
February 2025
Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands.
Purpose: Fluoroquinolones are antibiotics associated with adverse events that prompted the European Medicines Agency to implement risk minimization measures (RMMs) in 2018/19 and 2020. Our aim is to assess the RMMs' impact on antibiotic prescriptions in primary care during 2014-2023.
Methods: We assessed antibiotic prescriptions using CPRD GOLD (the United Kingdom, UK) and PHARMO (the Netherlands, NL).
J Antimicrob Chemother
January 2025
Institute for Hygiene and Environmental Medicine, Charité-Universitätsmedizin Berlin, Joint institution of Freie Universität Berlin and Humboldt-Universität Berlin, Institut für Hygiene und Umweltmedizin, Campus Benjamin Franklin, Hindenburgdamm 27, 12203 Berlin, Germany.
Background: Antibiotic consumption is considered an important risk factor for Clostridioides difficile infection (CDI). This ecological analysis investigates the influence of outpatient antibiotic prescriptions in statutory health insurance (SHI) on the admission prevalence of CDI in German hospitals participating in voluntary CDI surveillance through the hospital infection surveillance system (Krankenhaus-Infektions-Surveillance-System; KISS).
Methods: The annual CDI admission prevalence of a hospital at the federal state level was associated with the outpatient antibiotic consumption of the corresponding federal state.
Front Antibiot
September 2024
Research and Education, Clinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.
Background: Childhood remains a vulnerable period and a key determiner for adult health. Various illnesses experienced by children in their early years determine future performance and contribution to society. Acute and chronic infectious diseases, undernutrition, and early childhood non-communicable diseases have greatly been linked to intellectual disability, poor childhood development, increased morbidity, and household and healthcare economic costs.
View Article and Find Full Text PDFFront Antibiot
March 2024
Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Antimicrobial resistance in bacteria has been associated with significant morbidity and mortality in hospitalized patients. In the era of big data and of the consequent frequent need for large study populations, manual collection of data for research studies on antimicrobial resistance and antibiotic use has become extremely time-consuming and sometimes impossible to be accomplished by overwhelmed healthcare personnel. In this review, we discuss relevant concepts pertaining to the automated extraction of antibiotic resistance and antibiotic prescription data from laboratory information systems and electronic health records to be used in clinical studies, starting from the currently available literature on the topic.
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