302 research outputs found

    Antibiotic prescribing in primary healthcare: Dominant factors and trade-offs in decision-making

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    Background: This study aims to establish dominant factors influencing general practitioner (GP) decision-making on antibiotic prescribing in the Australian primary healthcare sector. Two research questions were posed: What influences antibiotic prescribing from the perspective of GPs? How do GPs trade-off on factors influencing antibiotic prescribing? Methods: An exploratory sequential mixed methods design was used, comprising semi-structured interviews followed by a discrete choice experiment (DCE). Ten GPs practising in Brisbane and Greater Brisbane, Queensland were interviewed in September/October 2015. Interview data were used to develop the DCE, which was conducted online from July–October 2016. Twenty-three GPs participated in the DCE. Results: Three main themes influencing antibiotic prescribing emerged from the semi-structured interviews: prescribing challenges, delayed antibiotic prescriptions, and patient expectations. From the DCE, “Duration of symptoms” and “Patient expectations” exerted the most influence on antibiotic prescribing. Taken together, these results suggest that key challenges to prudent antibiotic prescribing are: patient expectations, an important barrier which is surmountable; prescribing practices of medical colleagues, cultural memes and professional etiquette; and uncertainty of diagnosis coupled with patient expectations for antibiotics exert prescribing pressure on GPs. Conclusion: Patient expectation for antibiotics is the dominant modifiable factor influencing GP antibiotic prescribing behaviours. Key challenges to prudent antibiotic prescribing can be overcome through upskilling GPs to manage patient expectations efficaciously, and through two new emphases for public health campaigns—consumers have the power to reduce the use of antibiotics and the GP as a wise advocate for the patient

    Longitudinal antibiotic prescribing trends among US dental specialists within a pharmacy benefits manager, 2013 through 2015

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    Background Reducing inappropriate antibiotic prescriptions (Rxs) is a major quality improvement initiative in the United States. Tracking antibiotic prescribing trends is 1 method of assessing improvement in antibiotic prescribing. The purpose of this study was to assess longitudinal antibiotic prescribing practices among dental specialists. Methods This was a retrospective ecological longitudinal trend study. The authors calculated monthly systemic antibiotic Rx counts, and rates per 100,000 beneficiaries, from a pharmacy benefits manager in the United States from 2013 through 2015. The authors calculated average annual antibiotic Rx rates (AARs) for the 3-year study period. The authors used a quasi-Poisson regression model to analyze antibiotic Rx trends. The authors quantified seasonal trends, when present, via peak-to-trough ratios (PTTRs). Results Dental specialists prescribed 2.4 million antibiotics to the cohort of 38 million insurance beneficiaries during the 3-year study period (AAR = 2,086 Rxs per 100,000 beneficiaries). Oral and maxillofacial surgeons prescribed the most antibiotics (1,172,104 Rxs; AAR = 1,018 Rxs per 100,000 beneficiaries), followed by periodontists (527,038 Rxs; AAR = 457 Rxs per 100,000 beneficiaries), and endodontists (447,362 Rxs; AAR = 388 Rxs per 100,000 beneficiaries). Longitudinal antibiotic prescribing trends were stable among all dental specialties in the regression models (P > .05). The authors observed substantial seasonal variation in antibiotic Rxs in 2 specialties: pediatric dentistry (PTTR, 1.18; 95% confidence interval, 1.13 to 1.25) and orthodontics and dentofacial orthopedics (PTTR, 1.41; 95% confidence interval, 1.21 to 1.71), with the highest rates of antibiotic Rxs in the spring and winter. Conclusions Antibiotic prescribing practices for dental specialists remained stable. The authors observed seasonal trends in 2 specialties. Practical Implications Public health efforts are needed improve antibiotic prescribing among dental specialties

    Novel therapies and preventative strategies for primary and recurrent Clostridium difficile infections

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    Clostridium difficile is the leading infectious cause of antibiotic‐associated diarrhea and colitis. C. difficile infection (CDI) places a heavy burden on the healthcare system, with nearly half a million infections yearly and an approximate 20% recurrence risk after successful initial therapy. The high incidence has driven new research on improved prevention such as the emerging use of probiotics, intestinal microbiome manipulation during antibiotic therapies, vaccinations, and newer antibiotics that reduce the disruption of the intestinal microbiome. While the treatment of acute C. difficile is effective in most patients, it can be further optimized by adjuvant therapies that improve the initial treatment success and decrease the risk of subsequent recurrence. Finally, the high risk of recurrence has led to multiple emerging therapies that target toxin activity, recovery of the intestinal microbial community, and elimination of latent C. difficile in the intestine. In summary, CDIs illustrate the complex interaction among host physiology, microbial community, and pathogen that requires specific therapies to address each of the factors leading to primary infection and recurrence.Clostridium difficile is the leading infectious cause of antibiotic‐associated diarrhea and colitis. This has driven new research on improving the prevention, primary treatment, and reduction of recurrence of C. difficile infection. This review summarizes current therapy recommendations for C. difficile infection, indicates areas for improvement, and describes the new emerging drugs and treatments that we hope will address these areas.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147228/1/nyas13958.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147228/2/nyas13958_am.pd

    Does clinical examination aid in the diagnosis of urinary tract infections in women? A systematic review and meta-analysis

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    <p>Abstract</p> <p>Background</p> <p>Clinicians should be aware of the diagnostic values of various symptoms, signs and antecedents. This information is particularly important in primary care settings, where sophisticated diagnostic approaches are not always feasible. The aim of the study is to determine the probability that various symptoms, signs, antecedents and tests predict urinary tract infection (UTI) in women.</p> <p>Methods</p> <p>We conducted a systematic search of the MEDLINE and EMBASE databases to identify articles published in all languages through until December 2008. We particularly focused on studies that examined the diagnostic accuracy of at least one symptom, sign or patient antecedent related to the urinary tract. We included studies where urine culture, a gold standard, was preformed by primary care providers on female subjects aged at least 14 years. A meta-analysis of the likelihood ratio was performed to assess variables related to the urinary tract symptoms.</p> <p>Results</p> <p>Of the 1, 212 articles identified, 11 met the selection criteria. Dysuria, urgency, nocturia, sexual activity and urgency with dysuria were weak predictors of urinary tract infection, whereas increases in vaginal discharge and suprapubic pain were weak predictors of the absence of infection. Nitrites or leukocytes in the dipstick test are the only findings that clearly favored a diagnosis of UTI.</p> <p>Conclusions</p> <p>Clinical findings do not aid in the diagnosis of UTI among women who present with urinary symptoms. Vaginal discharge is a weak indicator of the absence of infection. The urine dipstick test was the most reliable tool for detecting UTI.</p
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