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. 2014 Dec;5(6):229–241. doi: 10.1177/2042098614554919

Antimicrobial resistance: risk associated with antibiotic overuse and initiatives to reduce the problem

Carl Llor 1,, Lars Bjerrum 2
PMCID: PMC4232501  PMID: 25436105

Abstract

Antimicrobial resistance is a global public health challenge, which has accelerated by the overuse of antibiotics worldwide. Increased antimicrobial resistance is the cause of severe infections, complications, longer hospital stays and increased mortality. Overprescribing of antibiotics is associated with an increased risk of adverse effects, more frequent re-attendance and increased medicalization of self-limiting conditions. Antibiotic overprescribing is a particular problem in primary care, where viruses cause most infections. About 90% of all antibiotic prescriptions are issued by general practitioners, and respiratory tract infections are the leading reason for prescribing. Multifaceted interventions to reduce overuse of antibiotics have been found to be effective and better than single initiatives. Interventions should encompass the enforcement of the policy of prohibiting the over-the-counter sale of antibiotics, the use of antimicrobial stewardship programmes, the active participation of clinicians in audits, the utilization of valid rapid point-of-care tests, the promotion of delayed antibiotic prescribing strategies, the enhancement of communication skills with patients with the aid of information brochures and the performance of more pragmatic studies in primary care with outcomes that are of clinicians’ interest, such as complications and clinical outcomes.

Keywords: Antibiotic resistance, primary care, point-of-care tests, rational use of antibiotics, strategies

Introduction

Antimicrobial resistance (AMR) is recognized as one of the greatest threats to human health worldwide. Just one organism, methicillin-resistant Staphylococcus aureus (MRSA), kills more Americans every year than emphysema, HIV/AIDS, Parkinson’s disease and homicide combined [Infectious Diseases Society of America et al. 2011]. Globally, 3.7% of new cases and 20% of previously treated cases of tuberculosis are estimated to be caused by strains that are resistant to isoniazid and rifampicin. For decades, these antituberculosis agents have been effective against tuberculosis, but today the effect is insufficient. Nowadays, only one-half of multidrug-resistant tuberculosis is effectively treated with the existing drugs [World Health Organization, 2014]. Extensively drug-resistant tuberculosis (defined as multidrug-resistant tuberculosis plus resistance to any fluoroquinolone and any second-line injectable drug) has been identified in 84 countries globally [World Health Organization, 2013]. Carbapenem-resistant Enterobacteriaceae spp. and extended-spectrum beta-lactamase-producing Enterobacteriaceae have been isolated in recent years [Nordmann et al. 2009; Ho et al. 2010; Oteo et al. 2010; Society for Healthcare Epidemiology of America, Infectious Diseases Society of America, and Pediatric Infectious Diseases Society, 2012]. There is a striking lack of development of new drugs active against these multidrug-resistant Gram-negative bacteria, particularly those producing carbapenemases [Boucher et al. 2013], and none of the antibiotics currently available are now effective [Falagas et al. 2008; Chen et al. 2009; Society for Healthcare Epidemiology of America, Infectious Diseases Society of America, and Pediatric Infectious Diseases Society, 2012].

While antibiotic resistance has predominantly been a clinical problem in hospital settings, recent data show resistant organisms have also been detected in patients in primary care [National Collaborating Centre for Infectious Diseases, 2010]. A recent report from the World Health Organization (WHO) clearly states that this is not a phenomenon occurring in just poor or developing countries; the problem of AMR is now found throughout the world [World Health Organization, 2014]. Diseases associated with AMR in primary care include tuberculosis, gonorrhoea (specifically Neisseria gonorrhoeae), typhoid fever and Group B streptococcus [Centers for Disease Control and Prevention, 2012]. Community-acquired AMR is of particular concern, as these infections can be common and easily transmitted. The most recent data from the European Antibiotic Surveillance Reports found that antibiotic resistance rates of Escherichia coli and/or Klebsiella pneumoniae vary markedly between countries. Rates of resistant E. coli varied 18-fold between Sweden (1.0%) and Greece (18.2%) and for K. pneumoniae the differences were even more pronounced, ranging from 0.7% in Sweden to 64.1% in Greece [European Centre for Disease Prevention and Control, 2011]. However, antibiotic resistance of E. coli and Klebsiella spp. is highest in Asia (≥60%), with rates of 10–30% in Southern Europe, and 5–10% in Northern Europe, Australasia and North America [Livermore, 2012]. European data from 2011 demonstrate an alarming increase in the resistance of these organisms, with around a third of European countries showing a rise in combined resistance to third-generation cephalosporins, fluoroquinolones and aminoglycosides over the previous 4 years [European Centre for Disease Prevention and Control, 2011]. Some of these types of antibiotics are considered by the WHO as ‘critically important antimicrobials’ in medicine [World Health Organization, 2009], and these broad-spectrum antibiotics should be avoided when narrow-spectrum antibiotics remain effective, as they also increase the risk of Clostridium difficile infection, MRSA and resistant urinary tract infections [Public Health England, 2013]. The problem of resistance not only involves the community, it also affects the individual. A recent review describing patients with bacterial urinary tract and respiratory tract infections treated with antibiotics reported that individual resistance may persist for up to 12 months post-treatment, thereby creating situations with the need of requiring second-line antibiotics [Costelloe et al. 2010].

Infection with antibiotic-resistant bacteria may cause severe illness, increased mortality rates, and an increased risk of complications and admission to hospital [Kollef, 2008; Paul et al. 2010; Livermore, 2012]. According to the European Centre for Disease Prevention and Control, 25,000 people in Europe die each year as a direct result of resistant infection [European Centre for Disease Prevention and Control, 2011]. Antibiotic resistance leads to an increased amount of healthcare costs. It is estimated that complications associated with antibiotic resistance cost €9 billion annually in Europe [Oxford and Kozlov, 2013]. A recent review demonstrated that the additional cost of resistance could be of £20,000 per patient episode in hospital [Smith and Coast, 2013].

In the context of few innovative or new antibiotics in the drug development pipeline, the WHO describes a future of a post-antibiotic world and warns that not only will this eliminate the advances in healthcare made over the past 100 years, which have ensured longer life in most parts of the developed and developing worlds, but it may also result in simple infections becoming unmanageable and potentially fatal [World Health Organization, 2012a, 2012b]. The United Kingdom Chief Medical Officer has highlighted the need for clinicians to preserve the effectiveness of antibiotics by giving clear evidence-based guidance on their appropriate use [Department of Health, 2012] and has stated that we are losing the battle against infectious diseases, and antibiotics may no longer be effective in the long term [Davies et al. 2013].

Most of the antibiotics used in medicine are prescribed by general practitioners (GP). In fact, primary care accounts for 80–90% of all antibiotic prescriptions in Europe and most antibiotics are prescribed for respiratory tract infections [European Centre for Disease Prevention and Control, 2014]. Utilization of antibiotics is also very important in other sectors; for instance, approximately 80% of antibiotics in the United States are consumed in agriculture, farming and aquaculture [Hollis and Ahmed, 2013]. Data show a direct correlation between the use of antibiotics and resistance. Countries with a higher consumption of antibiotics show higher rates of resistance [Goossens et al. 2005; Riedel et al. 2007]. Antibiotic prescribing differs profoundly from one European country to the next, although there is no evidence of differences in the prevalence of infectious diseases. On average, the European consumption rate of antibiotics is 18.3 defined as daily doses/1000 inhabitants/day (DID) in 2010, with the highest rate in Greece with 39.4 DID and the lowest in two Baltic countries with 11.1 DID or 11.2 DID of Holland [European Centre for Disease Prevention and Control, 2010]. A recent study has shown that the consumption of antibiotics is even greater in the new southern and eastern European countries, with an antibiotic use of 42.3 DID in Turkey [Versporten et al. 2014].

Apart from spreading resistance, antibiotic overprescribing is also associated with other problems (Box 1). Consumption of antibiotics puts patients at risk of adverse effects. Antibiotics account for approximately 20% of all drug-related emergency department visits in the United States. Although nearly 80% of these visits are attributable to allergic reactions, certain commonly prescribed antibiotics contribute to conditions that range from gastrointestinal to neurologic and psychiatric disorders [Lode, 2010]. Most of these adverse effects are mild, but some life-threatening adverse effects have been reported, such as hepatotoxicity due to amoxicillin and clavulanate [Chang and Schiano, 2007]. Antibiotic overprescribing has been shown to increase patient re-attendance as it medicalizes conditions, which are self-limiting [Little et al. 1997]. And more attendance means more prescription of antibiotics.

Box 1. Risks that have been shown to be associated with overuse of antibiotics.

Increase of antimicrobial resistance

Increase of more severe diseases

Increase of the length of disease

Increase of the risk of complications

Increase of the mortality rate

Increase of healthcare costs

Increase of the risk of adverse effects, some being life-threatening

Increase of re-attendance due to infectious diseases

Increased medicalization of self-limiting infectious conditions

Why are there such differences in antibiotic consumption in Europe? These differences cannot be explained by a different pattern of infectious diseases across countries. It is clear that the main concern is to avoid under-treatment [Kumar et al. 2003]. None of us wants to be seen to have withheld treatment from a patient who subsequently deteriorates, especially if the patient is hospitalized. Although rare, it might damage doctor–patient relationships and lead to complaints and medical–legal consequences. However, most of the respiratory tract infections attended by GPs are self-limiting. In Europe, upper respiratory tract infections account for 57% of the antibiotics used, with a further 30% for lower respiratory tract infections; in contrast, the next most common condition is urinary tract infections at 7% [van der Velden et al. 2013]. Moreover, respiratory tract infections are the most commonly treated acute problem in primary care [Francis et al. 2009], with most caused by a virus, to which antibiotics have shown to have a limited effect on symptoms. In a recent controlled clinical trial with placebo, with data from the GRACE project (http://www.grace-lrti.org) in 12 European countries including more than 3000 adults with acute cough (≤28 days) and without suspicion of pneumonia based on clinical grounds, the percentage of patients with new or worsening symptoms was slightly less frequently observed among those treated with amoxicillin 3 g daily compared with controls (16% versus 19%, number needed to treat = 30) but the prevalence of nausea, diarrhoea, or rash occurred more frequently in the former (number needed to harm = 23) [Little et al. 2013a].

The benefits of antibiotic therapy for most respiratory tract infections are modest in the best-case scenario [Kenealy and Arroll, 2013; Spinks et al. 2013; Venekamp et al. 2013; Smith et al. 2014]. If respiratory tract infections are mostly self-limiting, why do we treat between 52% and 100% of the cases, with a median of 88%, with antibiotics? [Ashworth et al. 2005]. As mentioned recently by Hay and Tilling, how is it possible that 88% of patients with acute bronchitis are special [Hay and Tilling, 2014]?

In general, prescribing has been shown to be influenced by several factors, including cultural aspects related to the country background, sociocultural and socio-economic factors, and the cultural beliefs of the patient and the prescriber, patient demand, and clinical autonomy [Butler et al. 1998; Moore and McNulty, 2012]. In different countries, people hold different ideas about health, causes of disease, labelling of illness, coping strategies, and treatment modalities [Hulscher et al. 2010]. Diagnostic uncertainty plays an important role in antibiotic overprescribing [Harbart and Samore, 2005]. In a Dutch study, the use of antibiotics was strongly associated with uncertainty avoidance (unwillingness to accept uncertainty and risks). The authors also observed that hierarchical societies such as those in Southern Europe consume more antibiotics than mainly egalitarian societies such as Scandinavian countries, the UK or the Netherlands [Deschepper and Vander Stichele, 2001]. Socioeconomic factors have also been associated with variability of antibiotic prescription. Aspects such as the way in which healthcare is funded or reimbursed, the percentage of generic drugs in the market, the economic incentives or the pressure of pharmaceutical industries can affect antibiotic prescription by clinicians [Hulscher et al. 2010]. Inequalities might also explain the variability of antimicrobial use. Moreover, Kirby and Herbert observed a moderate correlation between AMR and income inequality with the utilization of data from 15 large European countries [Kirby and Herbert, 2013].

Other factors related to the professional care-delivery system of antibiotics are probably important, such as care coordination, professional’s collaboration, communication teamwork, clinician’s knowledge about management of infectious diseases and doctor–patient relationship. Misconceptions and uncertainties regarding the role of antibiotics also exist among patients [Altiner et al. 2007]. For example, a European study reported that around half of the patients believed antibiotics were effective in treating viruses, cold and flu, with considerable differences across countries [European Commission, 2010].There also appears to be a dissonance between physician and patient expectations during a consultation of a respiratory tract infection [Coenen et al. 2013]. Clinicians’ attitudes on antibiotics also play an important role in antibiotic overprescribing. A recent survey including more than 1000 GPs carried out in the UK found that 55% felt under pressure, mainly from patients, to prescribe antibiotics, even if they were not sure that they were necessary, and 44% admitted that they had prescribed antibiotics to get a patient to leave the surgery [Cole, 2014].

Prescribing fewer antibiotics is needed

A reduction in antibiotic consumption leads to a reduction of resistance. The classical Finnish study focusing on macrolide resistant Streptococcus pyogenes clearly showed how a reduction in macrolide use could lead to a reduction in AMR. Antibiotic resistance dropped from 9.2% in 1997 to 7.4% in 2000, with a statistically significant association between regional macrolide resistance and consumption rates [Bergman et al. 2004].

What can we do to prescribe fewer antibiotics? Our goal is not just to reduce the amount of antibiotics. It is also to promote a rational use of antibiotics by prescribing antibiotics only to patients who are expected to benefit from the treatment. Many studies have been performed to determine the effectiveness of different types of intervention in promoting a more rational use of antibiotics. According to the last Cochrane review on interventions to improve antibiotic prescribing, multifaceted interventions combining physician, patient and public education in a variety of venues and formats were the most successful. Interactive educational meetings were more effective than didactic lectures, but levels of improvement were limited. Inappropriate antibiotic prescribing was reduced by less than 20% across a broad range of study populations [Arnold and Straus, 2005; Gonzales et al. 2013]. In a recently published paper, van der Velden and colleagues assessed the effectiveness of physician-targeted interventions aiming to improve antibiotic prescribing for respiratory tract infections in primary care. The authors included 58 studies and found that overall antibiotic prescribing was reduced by 11.6%. Within the 59 interventions aiming to decrease overall antibiotic prescribing, it was found that concurrently performed interventions (multiple interventions) were more effective than single interventions focusing on only one issue. Multifaceted interventions that included educational materials for physicians were the most effective strategies. The authors observed that communication skills in training and near-patient testing achieved the largest intervention effects [van der Velden et al. 2012]. The Cochrane review showed that interventions aimed at reducing overall antibiotic prescribing were less effective than interventions focusing on adherence to first choice antibiotics [Arnold and Straus, 2005]. However, other reviews have reported the opposite [van der Velden et al. 2012]. In general, multifaceted interventions were associated with an average increased prescribing of first-choice antibiotics of approximately 10% [Steinman et al. 2006]. The strategies for primary care that have been observed to be most successful are presented in this review.

Enforcement of governmental laws prohibiting over-the-counter sale of antibiotics

Self-medication with antibiotics is common in many parts of the world. In several countries, antibiotics are sold, illegally, without a prescription [Morgan et al. 2011]. This is particularly common in many countries in Asia, Africa, South and Central America, and even in Southern European countries, such as Italy, Spain, Greece and Malta [Borg and Sciclunca, 2002; Väänänen et al. 2006; Carrasco-Garrido et al. 2008; Plachouras et al. 2010]. In some countries, antibiotics are also available on the free market, i.e. outside pharmacies. Law enforcement to prohibit the illegal over-the-counter sale of antibiotics at pharmacies and the sale of antibiotics for humans and animals on the free market should be promoted worldwide.

Antimicrobial stewardship programmes, campaigns and audits

In many countries, there have been educational campaigns that aim to change healthcare professional and patient behaviour in antibiotic consumption. Interventions include the publication of guidelines, educational sessions on appropriate prescribing of antibiotics, educational sessions on the diagnosis and management of infectious diseases, review of prescribing data for practices, local interviews by pharmacists, messages included on TV, radio and other mass media, etc. Although the effects of these public campaigns and primary-care projects are positive, they are not sufficient to reduce the problem of AMR. An analysis of 22 national- or regional-level campaigns in high-income countries from 1990 to 2007 did find a reduction in antibiotic use. However, as all but one campaign targeted the patient and healthcare professional simultaneously [Huttner et al. 2010], it cannot be concluded whether patient education and awareness alone is an effective intervention to decrease antibiotic use. However, some campaigns have been particularly successful. Interventions targeting doctors and patients in primary care with the active participation of GPs in audits with discussion of results obtained have been found to be effective in achieving a reduction of antibiotics prescribed, as was found in the European-funded project Happy Audit [Bjerrum et al. 2011]. The Scottish Antimicrobial Prescribing Group, established by the Scottish Government in 2008, led a national initiative to actively address antimicrobial stewardship with the development of prescribing indicators for hospital and primary care, and observed reductions in antibiotic prescribing with no adverse effect on mortality or AMR patterns [Nathwani et al. 2012]. In Sweden, the Strategic Programme for the Rational Use of Antimicrobial Agents (STRAMA) and Surveillance of Resistance antimicrobial stewardship initiative reported a reduction in antibiotic use and lowered AMR rates over 10 years, without measurable negative consequences [Mölstad et al. 2008].

More evidence from pragmatic studies carried out in primary care is required

GPs often state that the patients attended are special and they need antibiotics; in fact, clinicians think their use is associated with a more rapid recovery or because they have an underlying comorbid condition, such as asthma, chronic lung disease, or they are smokers or have purulent sputum, and because of these features they need antibiotics. These are the so-called ‘special situations’, and many GPs claim that published clinical trials published usually do not take these patients into account. However, in recent years some good-quality papers have been published considering these special situations, including patients with outcomes that are of interest to GPs, such as clinical outcomes with length of symptoms and incidence of complications [McNulty et al. 2013]. The publication of these pragmatic studies can help GPs believe the results obtained. One example is the recent study on the low number of complications found in patients with sore throat (quinsy, otitis media, sinusitis, impetigo or cellulitis), observed in 1.3% of the cases, regardless of whether they were treated with antibiotics [Little et al. 2013b].

Promoting the use of valid point-of-care tests

If you visit a primary-care consultation in a Scandinavian country and compare it with a similar consultation in a Southern European country, you soon realize that the most important difference is the number of diagnostic tools available in Scandinavia. GPs in Northern countries usually use rapid antigen detection testing for the diagnosis of streptococcal pharyngitis, C-reactive protein (CRP) devices for ruling out serious respiratory tract infections, equipment capable of determining the number and type of leukocytes and agar plates for urine culture and susceptibility testing of bacteria (e.g. Flexicult plates, Petri plates that give clinicians knowledge about the bacterial aetiology of a urinary tract infection and the susceptibility pattern of the involved microorganisms in less than 24 hours).

The major contribution of point-of-care tests seems to decrease doctors’ uncertainty, adding useful information that helps to identify who to treat or not to treat with antibiotics. However, not all of the rapid tests are useful in primary care; only those that are accurate, precise, easy to use and interpret, fast and affordable for a primary care setting are acceptable [Cals and van Weert, 2013]; but above all, point-of-care tests should be able to predict prognosis and expected response to antibiotic treatment. In primary care, as opposed to the hospital, knowledge about the aetiological agent of an infection is not the most important thing; it is more important to be able to predict the expected evolution of the infectious disease and thereby consider the potential effect of an antibiotic treatment [Llor and Butler, 2014]. Several point-of-care tests have been shown to be effective in reducing the number of antibiotics prescribed. For example, CRP rapid testing, which gives the result in less than 3 minutes, has been shown to significantly reduce antibiotic prescribing in lower respiratory tract infections without compromising the clinical evolution of the patients [Huang et al. 2013]. In a recent trial, carried out in six European countries, Internet-based training on the CRP rapid test was associated with a significant reduction of antibiotics prescribed for acute lower respiratory tract infections [Little et al. 2013c]. Two Dutch studies showed significant decreases in antibiotic prescriptions when GPs used CRP testing to guide antibiotic management in lower respiratory tract infections, observing reductions from 53% to 31% in one study [Cals et al. 2009] and from 56.6% versus 43.4% in the other [Cals et al. 2010]. Furthermore, no differences in clinical outcomes were observed between patients treated and not treated with antibiotics.

Distinguishing pneumonia from acute bronchitis with only clinical findings is problematic in primary care, and the use of CRP rapid testing has been shown to perform better in predicting the diagnosis of pneumonia than any individual or combination of clinical symptoms and signs in lower respiratory tract infection [Hopstaken et al. 2003; Flanders et al. 2004; van Vugt et al. 2013]. The addition of the CRP level together with the signs and symptoms of a lower respiratory tract infection predicts the diagnosis of pneumonia better [van Vugt et al. 2013]. CRP tests have also proven to be a good predictor of clinical evolution in acute exacerbations of mild-to-moderate chronic obstructive pulmonary disease, being much better than the classic Anthonisen criteria (purulence of sputum, increased coughing or increase of dyspnoea) [Llor et al. 2012]. CRP has also been useful for achieving a reduction of antibiotics prescribed for acute sinusitis [Bjerrum et al. 2004]. The use of procalcitonin has been shown to be effective in reducing the amount of antibiotics in patients with lower respiratory tract infections [Tang et al. 2009]. However, it takes approximately 20 minutes to perform the test.

The utilization of rapid antigen-detection tests or Strep A has been associated with a lower prescribing of antibiotics for patients with sore throat. McIsaac and colleagues reported a 45% reduction in antibiotic prescribing in adults using rapid tests compared with empirical treatment [McIsaac et al. 2004]. Worrall and colleagues reported a proportion of antibiotic prescribing of 58% among physicians who did not use these rapid tests and 27% among those who did use this rapid test [Worrall et al. 2007]. Similarly, in another primary-care study carried out in Switzerland, the use of Strep A reduced antibiotic prescribing from 60% to 37% [Humair et al. 2006]. Curiously, in recent studies carried out in paediatrics, in which the incidence of streptococcal infection is higher, greater reductions were observed, with percentages of antibiotic prescription ranging from 22% to 28% among physicians assigned to rapid testing [Maltezou et al. 2008; Ayanruoh et al. 2009]. However, despite the fact that the use of these rapid antigen detections tests reduces the percentage of antibiotics prescribed, some recent papers cast doubts on the clinical benefit of their use. In a retrospective analysis of 726 patients, post-streptococcal complications were observed in a substantial number of patients with negative results, thereby limiting the usefulness of this rapid point-of-care test [Dingle et al. 2014]. We clearly need new rapid diagnostic instruments that allow clinicians to make a rapid decision on the basis of their results [Laxminarayan et al. 2013].

Promoting delayed prescribing of antibiotics

Delayed antibiotic prescribing means that the prescriber delivers an antibiotic prescription, but recommends the patient not to redeem it the same day. The prescription should only be redeemed if the patient feels worse within a few days. If symptoms reduce spontaneously, the prescription should be discarded. Delayed antibiotic prescribing is a widespread practice in the UK and its use is enforced by national guidelines [National Institute for Health and Clinical Excellence, 2008], but it has been difficult to implement in other countries. However, recent evidence from Norway also indicates that delayed prescribing may lead to a reduction in antibiotic use, mainly for sinusitis and otitis media [Høye et al. 2013].

A Cochrane review evaluated outcomes of delayed antibiotic prescribing compared with immediate antibiotic or no antibiotic prescribing in patients with respiratory tract infections. The study found that delayed prescribing was not superior to no prescribing in terms of symptom control, such as fever and cough, and complications [Spurling et al. 2011]. However, in a recently published study, researchers from Southampton showed a significant reduction in the consumption of antibiotics among patients assigned to delayed antibiotic strategies (less than 40%), without prejudice to the patients’ outcome, compared with the strategy of immediate antibiotic therapy [Little et al. 2014a]. Moreover, the authors pointed out that giving these patients responsibility for their own treatment apparently helps them to consult less frequently in the future. This is a likely and interesting explanation. They concluded that discussing concerns and expectations of patients and informing them of the natural course of an uncomplicated lower respiratory tract infection might reduce reconsultation rates. This has particularly been studied in acute pharyngitis, in which the group of patients assigned to delayed prescribing presented a lower incidence of complications when compared to the group in which antibiotic therapy was withheld and was associated with a lesser re-attendance in subsequent episodes compared with immediate prescribing [Little et al. 2014b].

Enhancing communication skills with patients

Improved communication in primary care can help to bridge this gap between physician and patient expectations. This can be achieved using various approaches. In a pragmatic clinical trial carried out in the Netherlands the authors observed that GPs assigned to CRP testing prescribed fewer antibiotics than those in the control group (30.7% versus 35.7%) and those trained in communication skills treated 26.3% of all episodes of respiratory tract infection with antibiotics compared with 39.1% treated by family physicians without [Cals et al. 2013]. The STAR programme of five sessions of Web-based training in enhanced communication skills, with patient scenarios and an expert-led face-to-face seminar, achieved a 4.2% reduction in global antibiotic use with no significant changes in admissions to hospital, reconsultations or costs [Butler et al. 2012]. Francis and colleagues showed that the use of a brief Web-based training programme and an interactive booklet on respiratory tract infections in children with uncomplicated respiratory tract infections within primary-care consultations led to an important reduction in antibiotic prescribing, with an odds ratio of 0.29 and reduced intention to consult without reducing satisfaction with care [Francis et al. 2009]. Gonzales and colleagues conducted a three-group randomized study at 33 primary-care practices in the United States in acute bronchitis patients, evaluating the effectiveness of two interventions: in one-third of the practices, the intervention was printed decision support in which educational brochures were given by triage nurses to patients with cough as part of routine care, and in another third of the practices a computer-assisted decision support intervention was implemented so that when triage nurses entered ‘cough’ into the electronic health record, an alert would prompt the nurse to provide an educational brochure to the patient; the remaining practices were control sites. Compared with the baseline period, the percentage of subjects prescribed antibiotics for uncomplicated acute bronchitis during the intervention period decreased from 80% to 68.3% at the printed decision support intervention sites and from 74% to 60.7% at the computer-assisted decision support intervention sites [Gonzales et al. 2013].

Communicating the possible length of mainly bothersome complaints, such as cough, is important in acute bronchitis, since the mean duration of any cough is between 15 and 20 days. In a recent study, Ebell and colleagues performed a population-based survey in the United States to determine patients’ expectations regarding the duration of acute cough, reporting a median duration of 5–7 days [Ebell et al. 2013]. The mismatch between patients’ expectations and reality for the natural history of acute cough illness has important implications for antibiotic prescribing. If a patient expects that an episode will last about 1 week, it makes sense that they might seek care for that episode and request an antibiotic after 5 or 6 days. Notwithstanding, GPs often fail to satisfactorily communicate the mean length of cough to patients with acute bronchitis [Cals et al. 2007]. As physicians, we must avoid sentences such as: ‘With these pills you will feel a rapid remission of your cough;’ and, as the cough will not remit the patient will be prone to reconsult again and will probably demand medicine that is perceived as stronger, such as antibiotics. Educating patients about the natural history of infectious diseases is therefore crucial. Patients need to know that antibiotics are probably not going to be beneficial in most self-limiting infections, and that treatment with antibiotics is associated with significant risks and side effects. They should also be told that it is normal to still be coughing 2 or even 3 weeks after onset, and that they should only seek care if they are worsening or if an alarm symptom, such as high fever, bloody or rusty-coloured sputum, or shortness of breath occurs (Box 2). Careful word selection for the infection is also important [Phillips and Hickner, 2005]. One survey showed that patients were less dissatisfied after not receiving antibiotics for a chest cold or ‘viral upper respiratory infection’ than they were for acute bronchitis [Phillips and Hickner, 2005].

Box 2. Communication tips that can help with patients with self-limiting respiratory tract infections.

Discuss with the patient that antibiotics do not significantly reduce the duration of symptoms of self-limiting respiratory tract infections and that they may cause adverse effects and lead to antibiotic resistance.

Back up the information provided with a leaflet or brochure given to the patient highlighting the most important information.

Set realistic expectations for symptom duration, including the average total duration of symptoms (after seeing the doctor): 4 days for acute otitis media, 1 week for acute sore throat, 1½ weeks for common cold, 2½ weeks for acute rhinosinusitis and 3 weeks for acute cough/bronchitis.

Define the diagnosis as a viral respiratory infection, chest cold, or sore throat instead of using the medical terms ‘acute bronchitis’ and ‘acute tonsillitis’.

Clearly explain the red-flag symptoms patients should know about infectious diseases.

Consider delayed prescription of antibiotics in those situations in which an aetiology cannot be clearly established.

Consider the use of rapid tests in cases of doubt, such as C-reactive protein rapid testing or rapid antigen detection tests, and discuss the results with the patient.

The use of information brochures is of aid. In the last few years, many studies on the benefit of discussing the evolution of the infectious conditions with the patient have been published. It is important to talk about the expected duration of symptoms and to deliver written material that explains when the patient should contact again in case of a possible deterioration (Box 2). Some papers have shown that a patient’s awareness of the red-flag signs reassures and helps to better comply with the treatment regimen and the use of fewer antibiotics [Butler et al. 2012]. In a recent clinical trial in which the effect of an online course on improving communication skills along with the use of leaflets was evaluated, the group of GPs assigned to this intervention prescribed 32% fewer antibiotics compared with the control group, and those who were trained in this strategy and at the same time had access to CRP rapid testing in their consultations, reduced antibiotic prescribing by 62% [Little et al. 2013a]. In addition, patients assigned to this strategy better understood why they had to take antibiotics. Communicative aspects have to contemplate what patients are unaware of, such as side effects of antimicrobial agents or their lack of effectiveness in infections that are self-limiting, even in many of these ‘special situations’ [Moore et al. 2014]. Box 2 describes some aspects that GPs should consider when communicating with patients with self-limiting respiratory tract infections.

Conclusion

There is no reason to explain why antibiotic prescribing in respiratory tract infections (the most frequent primary care) is so great. Doctors have to do well and not harm, while respecting the ethical principles of autonomy and justice. However, in the case of ethical conflict, nonmaleficence and justice (at a public and obligatory level) take precedence. We know that we can reduce antibiotic prescribing in many of the infections that are currently unnecessarily treated without compromising our patients’ health. By accomplishing this, we will do less harm. Moreover, we know that antibiotics can stop being effective in the short and medium term. The use of the strategies discussed in this paper will help GPs to reduce prescribing of antibiotics. Our duty is to prescribe antibiotics only when they are necessary, i.e. in less than 20% of the infectious seen in primary care.

Footnotes

Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of interest statement: CL reports receiving research grants from the European Commission (Sixth and Seventh Programme Framework), Catalan Society of Family Medicine, and Instituto de Salud Carlos III (Spanish Ministry of Health).

Contributor Information

Carl Llor, School of Medicine, Cardiff University, Department of Primary Care and Public Health, 5th Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4XN, UK.

Lars Bjerrum, Section of General Practice and Research Unit for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

References

  1. Altiner A., Brockmann S., Sielk M., Wilm S., Wegscheider K., Abholz H. (2007) Reducing antibiotic prescriptions for acute cough by motivating GPs to change their attitudes to communication and empowering patients: A cluster-randomized intervention study. J Antimicrob Chemother 60: 638–644. [DOI] [PubMed] [Google Scholar]
  2. Arnold S., Straus S. (2005) Interventions to improve antibiotic prescribing practices in ambulatory care. Cochrane Database Syst Rev 4: CD003539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Ashworth M., Charlton J., Ballard K., Latinovic R., Gulliford M. (2005) Variations in antibiotic prescribing and consultation rates for acute respiratory infection in UK practices 1995–2000. Br J Gen Pract 55: 603–608. [PMC free article] [PubMed] [Google Scholar]
  4. Ayanruoh S., Waseem M., Quee F., Humphrey A., Reynolds T. (2009) Impact of rapid streptococcal test on antibiotic use in a pediatric emergency department. Pediatr Emerg Care 25: 748–750. [DOI] [PubMed] [Google Scholar]
  5. Bergman M., Huikko S., Pihlajamäki M., Laippala P., Palva E., Huovinen P., et al. (2004) Effect of macrolide consumption on erythromycin resistance in Streptococcus pyogenes in Finland in 1997–2001. Clin Infect Dis 38: 1251–1256. [DOI] [PubMed] [Google Scholar]
  6. Bjerrum L., Gahrn-Hansen B., Munck A. (2004) C-reactive protein measurement in general practice may lead to lower antibiotic prescribing for sinusitis. Br J Gen Pract 54: 659–662. [PMC free article] [PubMed] [Google Scholar]
  7. Bjerrum L., Munck A., Gahrn-Hansen B., Hansen M., Jarbol D., Cordoba G., et al. (2011) Health Alliance for prudent antibiotic prescribing in patients with respiratory tract infections (HAPPY AUDIT) -impact of a non-randomised multifaceted intervention programme. BMC Fam Pract 12: 52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Borg M., Sciclunca E. (2002) Over-the-counter acquisition of antibiotics in the Maltese general population. Int J Antimicrob Agents 20: 253–257. [DOI] [PubMed] [Google Scholar]
  9. Boucher H., Talbot G., Benjamin D., Jr, Bradley J., Guidos R., Jones R., et al. (2013) 10 × ′20 progress—development of new drugs active against Gram-negative bacilli: an update from the Infectious Diseases Society of America. Clin Infect Dis 56: 1685–1694. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Butler C., Rollnick S., Pill R., Maggs-Rapport F., Stott N. (1998) Understanding the culture of prescribing: qualitative study of general practitioners’ and patients’ perceptions of antibiotics for sore throats. BMJ 317: 637–642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Butler C., Simpson S., Dunstan F., Rollnick S., Cohen D., Gillespie D., et al. (2012) Effectiveness of multifaceted educational programme to reduce antibiotic dispensing in primary care: practice based randomised controlled trial. BMJ 344: d8173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cals J.W., Scheppers N.A., Hopstaken R.M., Hood K., Dinant G.J., Goettsch H., et al. (2007) Evidence based management of acute bronchitis; sustained competence of enhanced communication skills acquisition in general practice. Patient Educ Couns 68: 270–278. [DOI] [PubMed] [Google Scholar]
  13. Cals J., Butler C., Hopstaken R., Hood K., Severens J., Dinant G. (2009) Effect of point of care testing for C reactive protein and training in communication skills on antibiotic use in lower respiratory tract infections: cluster randomised trial. BMJ 338: b1374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Cals J., de Bock L., Beckers P., Francis N., Hopstaken R., Hood K., et al. (2013) Enhanced communication skills and C-reactive protein point-of-care testing for respiratory tract infection: 3.5-year follow-up of a cluster randomized trial. Ann Fam Med 11: 157–164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Cals J., Schot M., de Jong S., Dinant G., Hopstaken R. (2010) Point-of-care C-reactive protein testing and antibiotic prescribing for respiratory tract infections: a randomized controlled trial. Ann Fam Med 8: 124–133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Cals J., van Weert H. (2013) Point-of-care tests in general practice: hope or hype? Eur J Gen Pract 19: 251–256. [DOI] [PubMed] [Google Scholar]
  17. Carrasco-Garrido P., Jiménez-García R., Barrera V., Gil de Miguel A. (2008) Predictive factors of self-medicated drug use among the Spanish adult population. Pharmacoepidemiol Drug Saf 17: 193–199. [DOI] [PubMed] [Google Scholar]
  18. Centers for Disease Control and Prevention (2012) Diseases/pathogens associated with antimicrobial resistance. Available at: http://www.cdc.gov/drugresistance/DiseasesConnectedAR.html (Accessed: 24 August 2014).
  19. Chang C., Schiano T. (2007) Review article: drug hepatotoxicity. Aliment Pharmacol Ther 25: 1135–1151. [DOI] [PubMed] [Google Scholar]
  20. Chen L., Chopra T., Kaye K. (2009) Pathogens resistant to antibacterial agents. Infect Dis Clin North Am 23: 817–845. [DOI] [PubMed] [Google Scholar]
  21. Coenen S., Francis N., Kelly M., Hood K., Nuttall J., Little P., et al. (2013) Are patient views about antibiotics related to clinician perceptions, management and outcome? A multi-country study in outpatients with acute cough. PLoS One 8: e76691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Cole A. (2014) GPs feel pressurised to prescribe unnecessary antibiotics, survey finds. BMJ 349: g5238. [DOI] [PubMed] [Google Scholar]
  23. Costelloe C., Metcalfe C., Lovering A., Mant D., Hay A. (2010) Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: Systematic review and meta-analysis. BMJ 340: c2096. [DOI] [PubMed] [Google Scholar]
  24. Davies S., Grant J., Catchpole M. (2013) The drugs don’t work. A Global Threat. London: Penguin Specials. [Google Scholar]
  25. Department of Health (2012) Chief Medical Officer Annual Report 2011: Volume 2. Available at: http://www.gov.uk/government/publications/chief-medical-officer-annual-report-volume-2 (Accessed: 24 August 2014).
  26. Deschepper R., Vander Stichele R. (2001) Differences in use of antibiotics in Europe: the role of cultural aspects. Pharm Weekbl 136: 794–797. [Google Scholar]
  27. Dingle T., Abbott A., Fang F. (2014) Reflexive culture in adolescents and adults with group A streptococcal pharyngitis. Clin Infect Dis 59: 643–650. [DOI] [PubMed] [Google Scholar]
  28. Ebell M.H., Lundgren J., Youngpairoj S. (2013) How long does a cough last? Comparing patients’ expectations with data from a systematic review of the literature. Ann Fam Med 11: 5–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. European Commission (2010) Eurobarometer 338. Antimicrobial resistance. Survey carried out by TNS Opinion & Social at the request of the Directorate-General for Health and Consumers. Available at: http://ec.europa.eu/health/antimicrobial_resistance/docs/ebs_338_en.pdf (Accessed: 24 August 2014).
  30. European Centre for Disease Prevention and Control (2010) Surveillance report. Surveillance of antimicrobial consumption in Europe. 2010. Available at: http://www.ecdc.europa.eu/en/publications/Publications/antimicrobial-antibiotic-consumption-ESAC-report-2010-data.pdf (Accessed: 24 August 2014).
  31. European Centre for Disease Prevention and Control (2011) Antimicrobial resistance surveillance in Europe. Annual report of the European Antimicrobial Resistance Surveillance Network (EARS-Net). Available at: http://www.ecdc.europa.eu/en/publications/Publications/antimicrobial-resistance-surveillance-europe-2011.pdf (Accessed: 24 August 2014).
  32. European Centre for Disease Prevention and Control (2014) Key messages for primary care prescribers. Available at: http://ecdc.europa.eu/en/eaad/antibiotics/pages/messagesforprescribers.aspx (Accessed: 24 August 2014)
  33. Falagas M., Rafailidis P., Matthaiou D., Virtzili S., Nikita D., Michalopoulos A. (2008) Pandrug-resistant Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii infections: Characteristics and outcome in a series of 28 patients. Int J Antimicrob Agents 32: 450–454. [DOI] [PubMed] [Google Scholar]
  34. Flanders S., Stein J., Shochat G., Sellers K., Holland M., Maselli J., et al. (2004) Performance of a bedside C-reactive protein test in the diagnosis of community-acquired pneumonia in adults with acute cough. Am J Med 116: 529–535. [DOI] [PubMed] [Google Scholar]
  35. Francis N., Butler C., Hood K., Simpson S., Wood F., Nuttall J. (2009) Effect of using an interactive booklet about childhood respiratory tract infections in primary care consultations on reconsulting and antibiotic prescribing: A cluster-randomised controlled trial. BMJ 339: b2885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Gonzales R., Anderer T., McCulloch C., Maselli J., Bloom F., Jr, Graf T., et al. (2013) A cluster randomized trial of decision support strategies for reducing antibiotic use in acute bronchitis. JAMA Intern Med 173: 267–273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Goossens H., Ferech M., Vander Stichele R., Elseviers M. and ESAC Project Group. (2005) Outpatient antibiotic use in Europe and association with resistance: A cross-national database study. Lancet 365: 579–587. [DOI] [PubMed] [Google Scholar]
  38. Harbart S., Samore M. (2005) Antimicrobial resistance determinants and future control. Emerg Infect Dis 11: 794–801. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Hay A., Tilling K. (2014) Can 88% of patients with acute lower respiratory infection all be special? Br J Gen Pract 64: 60–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Ho J., Tambyah P., Paterson D. (2010) Multiresistant gram-negative infections: A global perspective. Curr Opin Infect Dis 23: 546–553. [DOI] [PubMed] [Google Scholar]
  41. Hollis A., Ahmed Z. (2013) Preserving antibiotics, rationally. N Engl J Med 369: 2474–2476. [DOI] [PubMed] [Google Scholar]
  42. Hopstaken R., Muris J., Knottnerus J., Kester A., Rinkens P., Dinant G. (2003) Contributions of symptoms, signs, erythrocyte sedimentation rate, and C-reactive protein to a diagnosis of pneumonia in acute lower respiratory tract infection. Br J Gen Pract 53: 358–364. [PMC free article] [PubMed] [Google Scholar]
  43. Høye S., Gjelstad S., Lindbæk M. (2013) Effects on antibiotic dispensing rates of interventions to promote delayed prescribing for respiratory tract infections in primary care. Br J Gen Pract 63: e777–e786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Huang Y., Chen R., Wu T., Wei X., Guo A. (2013) Association between point-of-care CRP testing and antibiotic prescribing in respiratory tract infections: a systematic review and meta-analysis of primary care studies. Br J Gen Pract 63: e787–e794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Hulscher M., Grol R., van der Meer J. (2010) Antibiotic prescribing in hospitals: a social and behavioural scientific approach. Lancet Infect Dis 10: 167–175. [DOI] [PubMed] [Google Scholar]
  46. Humair J., Revaz S., Bovier P., Stalder H. (2006) Management of acute pharyngitis in adults: reliability of rapid streptococcal tests and clinical findings. Arch Intern Med 166: 640–644. [DOI] [PubMed] [Google Scholar]
  47. Huttner B., Goossens H., Verheij T., Harbarth S. (2010) Characteristics and outcomes of public campaigns aimed at improving the use of antibiotics in outpatients in high-income countries. Lancet Infect Dis 10: 17–31. [DOI] [PubMed] [Google Scholar]
  48. Infectious Diseases Society of America, Spellberg B., Blaser M., Guidos R., Boucher H., Bradley J., et al. (2011) Combating antimicrobial resistance: policy recommendations to save lives. Clin Infect Dis 52(Suppl. 5): S397–S428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Kenealy T., Arroll B. (2013) Antibiotics for the common cold and acute purulent rhinitis. Cochrane Database Syst Rev 6: CD000247. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Kirby A., Herbert A. (2013) Correlations between income inequality and antimicrobial resistance. PLoS One 8: e73115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Kollef M. (2008) Broad-spectrum antimicrobials and the treatment of serious bacterial infections: Getting it right up front. Clin Infect Dis 47: S3–S13. [DOI] [PubMed] [Google Scholar]
  52. Kumar S., Little P., Britten N. (2003) Why do general practitioners prescribe antibiotics for sore throat? Grounded theory interview study. BMJ 326: 138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Laxminarayan R., Duse A., Wattal C., Zaidi A., Vertheim F., Sumpradit N., et al. (2013) Antibiotic resistance – the need for global solutions. Lancet Infect Dis 13: 1057–1098. [DOI] [PubMed] [Google Scholar]
  54. Little P., Gould C., Williamson I., Warner G., Gantley M., Kinmonth A. (1997) Reattendance and complications in a randomised trial of prescribing strategies for sore throat: the medicalising effect of prescribing antibiotics. BMJ 315: 350–352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Little P., Stuart B., Moore M., Coenen S., Butler C., Godycki-Cwirko M., et al. (2013a) Amoxicillin for acute lower-respiratory-tract infection in primary care when pneumonia is not suspected: a 12-country, randomised, placebo-controlled trial. Lancet Infect Dis 13: 123–129. [DOI] [PubMed] [Google Scholar]
  56. Little P., Stuart B., Hobbs F., Butler C., Hay A., Campbell J., et al. (2013b) Predictors of suppurative complications for acute sore throat in primary care: prospective clinical cohort study. BMJ 347: f6867. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Little P., Stuart B., Francis N., Douglas E., Tonkin-Crine S., Anthierens S., et al. (2013c) Effects of internet-based training on antibiotic prescribing rates for acute respiratory-tract infections: a multinational, cluster, randomised, factorial, controlled trial. Lancet 382: 1175–1182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Little P., Moore M., Kelly J., Williamson I., Leydon G., McDermott L., et al. (2014a) Delayed antibiotic prescribing strategies for respiratory tract infections in primary care: pragmatic, factorial, randomised controlled trial. BMJ 348: g1606. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Little P., Stuart B., Hobbs F., Butler C., Hay A., Delaney B., et al. (2014b) Antibiotic prescription strategies for acute sore throat: a prospective observational cohort study. Lancet Infect Dis 14: 213–219. [DOI] [PubMed] [Google Scholar]
  60. Livermore D. (2012) Current epidemiology and growing resistance of gram-negative pathogens. Korean J Intern Med 27: 128–142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Llor C., Butler C. (2014) Better tests also in primary care. Clin Infect Dis 58: 1487–1488. [DOI] [PubMed] [Google Scholar]
  62. Llor C., Moragas A., Hernández S., Bayona C., Miravitlles M. (2012) Efficacy of antibiotic therapy for acute exacerbations of mild to moderate chronic obstructive pulmonary disease. Am J Respir Crit Care Med 186: 716–723. [DOI] [PubMed] [Google Scholar]
  63. Lode H. (2010) Safety and tolerability of commonly prescribed oral antibiotics for the treatment of respiratory tract infections. Am J Med 123 (4 Suppl.): S26–S38. [DOI] [PubMed] [Google Scholar]
  64. Maltezou H., Tasgris V., Antoniadou A., Gourgoulis G., Katerelos P., Adamis G., et al. (2008) Evaluation of a rapid antigen detection test in the diagnosis of streptococcal pharyngitis in children and its impact on antibiotic prescription. J Antimicrob Chemother 62: 1407–1412. [DOI] [PubMed] [Google Scholar]
  65. McIsaac W., Kellner J., Aufricht P., Vanjaka A., Low D. (2004) Empirical validation of guidelines for the management of pharyngitis in children and adults. JAMA 291: 1587–1595. [DOI] [PubMed] [Google Scholar]
  66. McNulty C., Nichols T., French D., Joshi P., Butler C. (2013) Expectations for consultations and antibiotics for respiratory tract infection in primary care: the RTI clinical iceberg. Br J Gen Pract 63: e429–436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Mölstad S., Erntell M., Hanberger H., Melander E., Norman C., Skoog G., et al. (2008) Sustained reduction of antibiotic use and low bacterial resistance: 10-year follow-up of the Swedish Strama programme. Lancet Infect Dis 8: 125–132. [DOI] [PubMed] [Google Scholar]
  68. Moore M., McNulty C. (2012) European Antibiotic Awareness Day 2012: TARGET antibiotics through guidance, education, and tools. Br J Gen Pract 62: 621–622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Moore M., Stuart B., Coenen S., Butler C., Goossens H., Verheij T., et al. (2014) Amoxicillin for acute lower respiratory tract infection in primary care: subgroup analysis of potential high-risk groups. Br J Gen Pract 64: e75–e80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  70. Morgan D., Okeke I., Laxminarayan R., Perencevich E., Weisenberg S. (2011) Non-prescription antimicrobial use worldwide: a systematic review. Lancet Infect Dis 11: 692–701. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Nathwani D., Sneddon J., Patton A., Malcolm W. (2012) Antimicrobial stewardship in Scotland: impact of a national programme. Antimicrob Resist Infect Control 3: 7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. National Collaborating Centre for Infectious Diseases (2010) Proceedings of Community-Acquired Antimicrobial Resistance Consultation Notes, Winnipeg, MB, Canada, 10–11 February 2010 Available at: http://www.nccid.ca/files/caAMR_ConsultationNotes_final.pdf (Accessed: 24 August 2014). [Google Scholar]
  73. National Institute for Health and Clinical Excellence (2008) Prescribing of antibiotics for self-limiting respiratory tract infections in adults and children in primary care. London: National Institute for Health and Clinical Excellence. Respiratory tract infections — antibiotic prescribing; Guideline number 69. [PubMed] [Google Scholar]
  74. Nordmann P., Cuzon G., Naas T. (2009) The real threat of Klebsiella pneumoniae carbapenemase-producing bacteria. Lancet Infect Dis 9: 228–236. [DOI] [PubMed] [Google Scholar]
  75. Oteo J., Pérez-Vázquez M., Campos J. (2010) Extended-spectrum beta-lactamase producing Escherichia coli: Changing epidemiology and clinical impact. Curr Opin Infect Dis 23: 320–326. [DOI] [PubMed] [Google Scholar]
  76. Oxford J., Kozlov R. (2013) Antibiotic resistance—a call to arms for primary healthcare providers. Int J Clin Pract Suppl 180: 1–3. [DOI] [PubMed] [Google Scholar]
  77. Paul M., Shani V., Muchtar E., Kariv G., Robenshtok E., Leibovici L. (2010) Systematic review and meta-analysis of the efficacy of appropriate empiric antibiotic therapy for sepsis. Antimicrob Agents Chemother 54: 4851–4863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Phillips T.G., Hickner J. (2005) Calling acute bronchitis a chest cold may improve patient satisfaction with appropriate antibiotic use. J Am Board Fam Pract 18: 459–463. [DOI] [PubMed] [Google Scholar]
  79. Plachouras D., Kavatha D., Antoniadou A., Giannitsioti E., Poulakou G., Kanellakopoulou K., et al. (2010) Dispensing of antibiotics without prescription in Greece, 2008: another link in the antibiotic resistance chain. Eurosurveillance 15: 19488. [PubMed] [Google Scholar]
  80. Public Health England (2012) Management of Infection Guidance for Primary Care for Consultation and Local Adaptation. November 2012, revised February 2013. Available at: http://www.hpa.org.uk/Topics/InfectiousDiseases/InfectionsAZ/PrimaryCareGuidance/ (Accessed: 24 August 2014).
  81. Riedel S., Beekmann S., Heilmann K., Richter S., Garcia-de-Lomas J., Ferech M., et al. (2007) Antimicrobial use in Europe and antimicrobial resistance in Streptococcus pneumoniae. Eur J Clin Microbiol Infect Dis 26: 485–490. [DOI] [PubMed] [Google Scholar]
  82. Smith R., Coast J. (2013) The true cost of antimicrobial resistance. BMJ 346: f1493. [DOI] [PubMed] [Google Scholar]
  83. Smith S., Fahey T., Smucny J., Becker L. (2014) Antibiotics for acute bronchitis. Cochrane Database Syst Rev 3: CD000245. [DOI] [PubMed] [Google Scholar]
  84. Society for Healthcare Epidemiology of America, Infectious Diseases Society of America, and Pediatric Infectious Diseases Society (2012) Policy statement on antimicrobial stewardship by the Society for Healthcare Epidemiology of America, the Infectious Diseases Society of America, and the Pediatric Infectious Diseases Society. Infect Control Hosp Epidemiol 33: 322–327. [DOI] [PubMed] [Google Scholar]
  85. Spinks A., Glasziou P., Del Mar C. (2013) Antibiotics for sore throat. Cochrane Database Syst Rev 11: CD000023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  86. Spurling G., Del Mar C., Dooley L., Foxlee R. (2011) Delayed antibiotics for respiratory infections. Cochrane Database Syst Rev 1: CD004417. [DOI] [PubMed] [Google Scholar]
  87. Steinman M., Ranji S., Shojania K., Gonzales R. (2006) Improving antibiotic selection: a systematic review and quantitative analysis of quality improvement strategies. Med Care 44: 617–628. [DOI] [PubMed] [Google Scholar]
  88. Tang H., Huang T., Jing J., Shen H., Cui W. (2009) Effect of procalcitonin-guided treatment in patients with infections: a systematic review and meta-analysis. Infection 37: 497–507. [DOI] [PubMed] [Google Scholar]
  89. Väänänen M., Pietilä K., Airaksinen M. (2006) Self-medication with antibiotics—does it really happen in Europe? Health Policy 77: 166–171. [DOI] [PubMed] [Google Scholar]
  90. van der Velden A., Duerden M., Bell J., Oxford J., Altiner A., Kozlov R., et al. (2013) Prescriber and patient responsibilities in treatment of acute respiratory tract infections — Essential for conservation of antibiotics. Antibiotics 2: 316–327. [Google Scholar]
  91. van der Velden A., Pijpers E., Kuyvenhoven M., Tonkin-Crine S., Little P., Verheij T. (2012) Effectiveness of physician-targeted interventions to improve antibiotic use for respiratory tract infections. Br J Gen Pract 62: e801–e807. [DOI] [PMC free article] [PubMed] [Google Scholar]
  92. van Vugt S., Broekhuizen B., Lammens C., Zuithoff N., de Jong P., Coenen S, et al. (2013) Use of serum C reactive protein and procalcitonin concentrations in addition to symptoms and signs to predict pneumonia in patients presenting to primary care with acute cough: diagnostic study. BMJ 346: f2450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Venekamp R., Sanders S., Glasziou P., Del Mar C., Rovers M. (2013) Antibiotics for acute otitis media in children. Cochrane Database Syst Rev 1: CD000219. [DOI] [PubMed] [Google Scholar]
  94. Versporten A., Bolokhovets G., Ghazaryan L., Abilova V., Pyshnik G., Spasojevic T., et al. (2014) Antibiotic use in eastern Europe: a cross-national database study in coordination with the WHO Regional Office for Europe. Lancet Infect Dis. PII: S1473-3099(14)70071-4. [DOI] [PubMed] [Google Scholar]
  95. Williams M. (2008) Overuse of antibiotics for RTIs. Prescriber 19: 6–9. [Google Scholar]
  96. World Health Organization (2009) Critically Important Antimicrobials for Human Medicine [2nd Revision]. Available at: http://www.who.int/foodsafety/foodbornedisease/CIA2ndrev2009.pdf (Accessed: 24 August 2014)
  97. World Health Organization (2012a) Factsheet No: 194: Antimicrobial resistance. March 2012. Available at: http://www.Who.Int/mediacentre/factsheets/fs194/en/# (Accessed: 24 August 2014).
  98. World Health Organization (2012b) The evolving threat of antimicrobial resistance—Options for action. Available at: http://www.who.int/patientsafety/implementation/amr/publication/en/ (Accessed: 24 August 2014).
  99. World Health Organization (2013) Antimicrobial resistance. Fact sheet n°194. Updated May 2013. Available at: http://www.who.int/mediacentre/factsheets/fs194/en/
  100. World Health Organization (2014) WHO’S first global report on antibiotic resistance reveals serious, worldwide threat to public health. Antimicrobial resistance – global surveillance report. Virtual Press Conference. 30 April 2014. Available at: http://www.who.int/mediacentre/multimedia/amr-transcript.pdf?ua=1 (Accessed: 24 August 2014).
  101. Worrall G., Hutchinson J., Sherman G., Griffiths J. (2007) Diagnosing streptococcal sore throat in adults. Randomized controlled trial of in-office aids. Can Fam Physician 53: 667–671. [PMC free article] [PubMed] [Google Scholar]

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