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      A Nationwide Survey of Australian General Practitioners on Antimicrobial Stewardship: Awareness, Uptake, Collaboration with Pharmacists and Improvement Strategies

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          Implementing antimicrobial stewardship (AMS) programs is central to optimise antimicrobial use in primary care. This study aims to assess general practitioners’ (GPs’) awareness of AMS, uptake of AMS strategies, attitudes towards GP–pharmacist collaboration in AMS and future AMS improvement strategies. A paper-based survey of nationally representative GPs across Australia was conducted in 2019. Of 386 respondent GPs, 68.9% were familiar with AMS. Respondents most frequently used the Therapeutic Guidelines (TG) (83.2%, 321/385) and delayed antimicrobial prescribing (72.2%, 278/385) strategies, whereas few utilised point-of-care tests (18.4%, 71/382), patient information leaflets (20.2%, 78/384), peer prescribing reports (15.5%, 60/384) and audit and feedback (9.8%, 38/384). GPs were receptive to pharmacists’ recommendations on the choice (50.5%, 192/381) and dose (63%, 241/382) of antimicrobials, and more than 60% (235/381) supported a policy fostering increased GP–pharmacist collaboration. Most GPs agreed to have AMS training (72%, 278/386), integration of electronic TG (eTG) with prescribing software (88.3%, 341/386) and policies limiting the prescribing of selected antimicrobials (74.4%, 287/386) in the future. Conclusively, GPs are aware of the importance of judicious antimicrobial prescribing but inadequately uptake evidence-based AMS strategies. The majority of GPs support GP–pharmacist collaborative AMS approaches to optimise antimicrobial use. Developing a feasible GP–pharmacist collaborative AMS implementation model and facilitating stewardship resources and training could foster AMS activities in primary care.

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          Most cited references 44

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          Implementing an Antibiotic Stewardship Program: Guidelines by the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America.

          Evidence-based guidelines for implementation and measurement of antibiotic stewardship interventions in inpatient populations including long-term care were prepared by a multidisciplinary expert panel of the Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America. The panel included clinicians and investigators representing internal medicine, emergency medicine, microbiology, critical care, surgery, epidemiology, pharmacy, and adult and pediatric infectious diseases specialties. These recommendations address the best approaches for antibiotic stewardship programs to influence the optimal use of antibiotics.
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            SEIPS 2.0: a human factors framework for studying and improving the work of healthcare professionals and patients.

            Healthcare practitioners, patient safety leaders, educators and researchers increasingly recognise the value of human factors/ergonomics and make use of the discipline's person-centred models of sociotechnical systems. This paper first reviews one of the most widely used healthcare human factors systems models, the Systems Engineering Initiative for Patient Safety (SEIPS) model, and then introduces an extended model, 'SEIPS 2.0'. SEIPS 2.0 incorporates three novel concepts into the original model: configuration, engagement and adaptation. The concept of configuration highlights the dynamic, hierarchical and interactive properties of sociotechnical systems, making it possible to depict how health-related performance is shaped at 'a moment in time'. Engagement conveys that various individuals and teams can perform health-related activities separately and collaboratively. Engaged individuals often include patients, family caregivers and other non-professionals. Adaptation is introduced as a feedback mechanism that explains how dynamic systems evolve in planned and unplanned ways. Key implications and future directions for human factors research in healthcare are discussed.
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              Response rates and response bias for 50 surveys of pediatricians.

              To track response rates across time for surveys of pediatricians, to explore whether response bias is present for these surveys, and to examine whether response bias increases with lower response rates. A total of 63,473 cases were gathered from 50 different surveys of pediatricians conducted by the American Academy of Pediatrics (AAP) since 1994. Thirty-one surveys targeted active U.S. members of the AAP, six targeted pediatric residents, and the remaining 13 targeted AAP-member and nonmember pediatric subspecialists. Information for the full target samples, including nonrespondents, was collected using administrative databases of the AAP and the American Board of Pediatrics. To assess bias for each survey, age, gender, location, and AAP membership type were compared for respondents and the full target sample. Correlational analyses were conducted to examine whether surveys with lower response rates had increasing levels of response bias. Response rates to the 50 surveys examined declined significantly across survey years (1994-2002). Response rates ranged from 52 to 81 percent with an average of 68 percent. Comparisons between respondents and the full target samples showed the respondent group to be younger, to have more females, and to have less specialty-fellow members. Response bias was not apparent for pediatricians' geographical location. The average response bias, however, was fairly small for all factors: age (0.45 years younger), gender (1.4 percentage points more females), and membership type (1.1 percentage points fewer specialty-fellow members). Gender response bias was found to be inversely associated with survey response rates (r=-0.38). Even for the surveys with the lowest response rates, amount of response bias never exceeded 5 percentage points for gender, 3 years for age, or 3 percent for membership type. While response biases favoring women, young physicians, and nonspecialty-fellow members were found across the 52-81 percent response rates examined in this study, the amount of bias was minimal for these factors that could be tested. At least for surveys of pediatricians, more attention should be devoted by investigators to assessments of response bias rather than relying on response rates as a proxy of response bias.

                Author and article information

                Role: Academic Editor
                Antibiotics (Basel)
                Antibiotics (Basel)
                08 June 2020
                June 2020
                : 9
                : 6
                [1 ]Department of General Practice, Monash University, Building 1, 270 Ferntree Gully Road, Notting Hill, Victoria 3168, Australia; Danielle.Mazza@
                [2 ]National Centre for Antimicrobial Stewardship (NCAS), The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia; david.kong@ (D.C.M.K.); Karin.Thursky@ (K.T.)
                [3 ]Centre for Medicine Use and Safety, Monash University, 381 Royal Parade Parkville, Victoria 3052, Australia
                [4 ]Department of Medicine, University of Melbourne, Melbourne, Victoria 3010, Australia
                [5 ]Pharmacy Department, Ballarat Health Services, Ballarat, Victoria 3350, Australia
                Author notes
                [* ]Correspondence: sajal.saha@ ; Tel.: +610-452-639-559
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (



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