Lower Antibiotic Prescription Research Articles

Contextual Factors that Influence Antibiotic Prescribing: A Discrete Choice Experiment of GP Registrars.

Antimicrobial resistance is a global emergency related to overprescribing of antibiotics. Few studies have explored how prescribing behaviours may change as the consequence of changing resistance. Understanding how contextual factors influence antibiotic prescribing will facilitate improved communication strategies to promote appropriate antibiotic prescribing. We aimed to develop and conduct a discrete choice experiment (DCE) to measure how contextual factors influence intended antibiotic prescribing of general practitioner (GP) registrars. Factors included as attributes in the DCE were level of antibiotic resistance, requirement for an authority to prescribe, existence of a Practice Incentives Program (PIP) for low prescribing and supervisor support for low prescribing. The survey was administered in an online format for GP registrars undergoing training between 2020 and 2021. Regression analysis using a conditional logit model with interaction effects was used on the basis of the assumptions of independence of irrelevant alternatives, independence of error terms and no preference heterogeneity. In total, 617 unique respondents answered at least one choice set question. Respondents showed significant preference for avoiding prescribing antibiotics when antibiotic resistance was 25-35% or 40-60% compared with 5-8%. There was also a significant preference for avoiding prescribing when an authority to prescribe was required, or when there was supervisory support of low antibiotic prescribing. In the main effects analysis, respondents were significantly less likely to choose a prescribing option if there was a PIP; however, when interaction effects were included in the regression analysis there was a significant interaction between PIP and resistance rates, but the preference weights for PIP was no longer significant. Knowledge about community resistance impacts the stated intention of GP registrars to prescribe antibiotics. The use of the DCE may have made it possible to determine factors influencing prescribing that would not be detected using other survey methods. These findings provide guidance for producing, explaining and communicating issues regarding antibiotic prescribing to GP registrars.

Antibiotic Prescription Rates For Respiratory Tract Infections Treated In The Outpatient Sector Based On Routine Data From A German Health Insurance Company

Acute uncomplicated upper respiratory tract infections (RTIs) are common reasons for antibiotic prescriptions in the outpatient sector, although>90% are of viral origins and mostly self-limiting. Germany has a low antibiotic prescription rate compared to other European countries, but there are regional differences. Disease-specific quality indicators (QI) developed by the European Surveillance of Antimicrobial Consumption Network (ESAC-Net) address the prescription rates (target <20%) and choice of antibiotic (target>80%) in a general practitioner population. The aim of this analysis was to operationalise the ESAC-Net-QI using secondary data from a health insurance company at the level of diseases and healthcare facilities, as well as to analyse areas for improvement. The underlying database comprises the panel physician billing, hospital and prescription data in accordance with German law (§§ 295, 300 and 301 SGB V) of the Barmer health insurance company for the year 2022. Categorical features are presented as frequency and percentage. Maximum specificity was aimed, hence potentially risky disease courses were excluded. The overall RTI prescription rate of antibiotics was 25% in 2022 before applying inclusion and exclusion criteria (1,197,568/4,720,786). After applying the algorithm, the prescription rate for all RTI cases dropped to 6% (80,786/1,365,646). When specific RTI indications are considered, 35% (13,465/38,913) of acute bronchitis and acute sinusitis cases (4,971/14,051) received an antibiotic prescription each. At the facility level, 38% of practices (1,396/3,705) treating acute bronchitis and 41% of practices (539/1,300) treating acute sinusitis achieved the target of<20% antibiotic prescriptions. Only 29% of all RTI cases with antibiotic prescriptions (23,733/80,786) received a first-choice antibiotic. Our analysis indicates that the ESAC-Net-QI for RTIs can be calculated at case and facility levels using routine health insurance data. For specific RTIs, there were indications of improvement potential in the frequency and selection of prescribed antibiotics.

Hungarian general practice paediatricians’ antibiotic prescribing behaviour for suspected respiratory tract infections: a qualitative study

ObjectivesInappropriate antibiotic prescribing is a major cause of antimicrobial resistance (AMR). The aim of this study was to explore paediatric general practitioners’ (GP Peds) antibiotic prescription practice in suspected respiratory...

Let’s Talk About Antibiotics: a randomised trial of two interventions to reduce antibiotic misuse

BackgroundChildren with acute respiratory tract infections (ARTIs) receive ≈11.4 million unnecessary antibiotic prescriptions annually. A noted contributor is inadequate parent–clinician communication, however, efforts to reduce overprescribing have only indirectly targeted...

Coping With Diagnostic Uncertainty in Antibiotic Prescribing: A Latent Class Study of Primary Care Physicians in Hubei China.

Background: Misuse of antibiotics is prevalent worldwide and primary care is a major contributor. Although a clear diagnosis is fundamental for rational antibiotic use, primary care physicians often struggle with diagnostic uncertainty. However, we know little about how physicians cope with this situation and its association with antibiotic prescribing.Methods: A total of 583 primary care physicians were surveyed using the Dealing with Uncertainty Questionnaire. Their prescriptions (n = 949,181) over the year 2018 were retrieved retrospectively. Two categories of behavioral patterns of participants were identified based on latent class analyses (high vs. low openness and collaborativeness) in responding to diagnostic uncertainty. Multi-level logistic regression models were established to determine the associations between these behavioral patterns and antibiotic prescribing (overall and broad-spectrum antibiotics) for illness without an indication for antibiotics and those with a conditional indication for antibiotics, respectively, after adjustment for variations of patient (level one) and physician (level two) characteristics.Results: Most physicians reported open communications with their patients (80.96%), collected further information (85.08%), and referred patients to specialists (68.95%) in dealing with diagnostic uncertainly. More than half (56.95%) sought help from colleagues. Less than 20% acted on intuition or adopted a “wait and see” strategy. About 40% participants (n = 238) were classified into the group of low openness and collaborativeness in coping with diagnostic uncertainty. They were more likely to prescribe antibiotics for the recorded illness without an indication for antibiotics (AOR = 1.013 for all antibiotics, p = 0.024; AOR = 1.047 for broad-spectrum antibiotics, p < 0.001), as well as for the recorded illness with a conditional indication for antibiotics (AOR = 1.226 for all antibiotic, p < 0.001; AOR = 1.257 for broad-spectrum antibiotics, p < 0.001).Conclusion: Low tolerance with diagnostic uncertainty is evident in primary care. Inappropriate and over antibiotic prescribing is shaped by physicians' coping methods of diagnostic uncertainty. Physicians' openness and collaborativeness in responding to diagnostic uncertainty is associated with lower antibiotic prescribing in primary care. Interventions targeting on better management of diagnostic uncertainty may offer a promising approach in reducing antibiotic use in primary care.

571Effect of a computer network-based feedback program on antibiotic prescription rates of primary care physicians

Abstract Background Antibiotic overuse is one of the major prescription problems in rural China and a major risk factor for antibiotic resistance. Low antibiotic prescription rates can effectively reduce the risk of antibiotic resistance. Methods A cluster randomized crossover open controlled trial was conducted in 31 hospitals. These hospitals were randomly allocated to two groups to receive the intervention for three months followed by no intervention for three months in a random sequence. The feedback intervention information, which displayed the physicians’ antibiotic prescription rates and ranking, was updated every 10 days. The primary outcome was the 10-day antibiotic prescription rate of the physicians. Results There were 82 physicians in group 1 (intervention first followed by control) and 81 in group 2 (control first followed by intervention). Baseline comparison showed no significant difference in antibiotic prescription rate between the two groups (30.8% vs 35.2%, P-value = 0.07). At the crossover point, the relative reduction in antibiotic prescription rate was significantly higher among physicians in the intervention group than in the control group (33.1% vs 20.3%, P-value &amp;lt; 0.001). After a further 3 months, the rate of decline in antibiotic prescriptions was also significantly greater in the intervention group compared to the control group (14.2% vs 4.6%, P-value &amp;lt; 0.001). Conclusions A computer network-based feedback intervention can significantly reduce the antibiotic prescription rates of primary care outpatient physicians. Key messages The feedback intervention continuously affected their prescription behavior for up to six months.

Safety of reducing antibiotic prescribing in primary care: a mixed-methods study

Background The threat of antimicrobial resistance has led to intensified efforts to reduce antibiotic utilisation, but serious bacterial infections are increasing in frequency. Objectives To estimate the risks of serious bacterial infections in association with lower antibiotic prescribing and understand stakeholder views with respect to safe antibiotic reduction. Design Mixed-methods research was undertaken, including a qualitative interview study of patient and prescriber views that informed a cohort study and a decision-analytic model, using primary care electronic health records. These three work packages were used to design an application (app) for primary care prescribers. Data sources The Clinical Practice Research Datalink. Setting This took place in UK general practices. Participants A total of 706 general practices with 66.2 million person-years of follow-up from 2002 to 2017 and antibiotic utilisation evaluated for 671,830 registered patients. The qualitative study included 31 patients and 30 health-care professionals from primary care. Main outcome measures Sepsis and localised bacterial infections. Results Patients were concerned about antimicrobial resistance and the side effects, as well as the benefits, of antibiotic treatment. Prescribers viewed the onset of sepsis as the most concerning potential outcome of reduced antibiotic prescribing. More than 40% of antibiotic prescriptions in primary care had no coded indication recorded across both Vision® and EMIS® practice systems. Antibiotic prescribing rates varied widely between general practices, but there was no evidence that serious bacterial infections were less frequent at higher prescribing practices (adjusted rate ratio for 20% increase in prescribing 1.03, 95% confidence interval 1.00 to 1.06; p = 0.074). The probability of sepsis was lower if an antibiotic was prescribed at an infection consultation, and the number of antibiotic prescriptions required to prevent one episode of sepsis (i.e. the number needed to treat) decreased with age. For those aged 0–4 years, the number needed to treat was 29,773 (95% uncertainty interval 18,458 to 71,091) in boys and 27,014 (95% uncertainty interval 16,739 to 65,709) in girls. For those aged &gt; 85 years, the number needed to treat was 262 (95% uncertainty interval 236 to 293) in men and 385 (95% uncertainty interval 352 to 421) in women. Frailty was associated with a greater risk of sepsis and a smaller number needed to treat. For severely frail patients aged 55–64 years, the number needed to treat was 247 (95% uncertainty interval 156 to 459) for men and 343 (95% uncertainty interval 234 to 556) for women. At all ages, the probability of sepsis was greatest for urinary tract infection, followed by skin infection and respiratory tract infection. The numbers needed to treat were generally smaller for the period 2014–17, when sepsis was diagnosed more frequently. The results are available using an app that we developed to provide primary care prescribers with stratified risk estimates during infection consultations. Limitations Analyses were based on non-randomised comparisons. Infection episodes and antibiotic prescribing are poorly documented in primary care. Conclusions Antibiotic treatment is generally associated with lower risks, but the most serious bacterial infections remain infrequent even without antibiotic treatment. This research identifies risk strata in which antibiotic prescribing can be more safely reduced. Future work The software developed from this research may be further developed and investigated for antimicrobial stewardship effect. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 9. See the NIHR Journals Library website for further project information.

Safety and Dose-Dependent Effects of Echinacea for the Treatment of Acute Cold Episodes in Children: A Multicenter, Randomized, Open-Label Clinical Trial.

Background: Due to the frequency and severity of cold symptoms in children, and the risk of associated complications, effective treatments are urgently needed. Here we evaluated the safety profile and treatment benefits of Echinacea in children with acute cold and flu symptoms. Methods: A total of 79 children (4–12 years) were randomized to a treatment regimen of three or five times daily Echinaforce Junior tablets (total of 1200 or 2000 mg Echinacea extract, EFJ) for the prospective treatment of upcoming cold and flu episodes at first signs. Parents recorded respiratory symptoms daily during episodes in their child and physicians and parents subjectively rated tolerability. Results: EFJ was used to treat 130 cold episodes in 68 children and was very well tolerated by more than 96% positive physician’s ratings. EFJ-treated cold episodes lasted 7.5 days on average, with nine out of 10 episodes being fully resolved after 10 days. Five EFJ tablets daily reduced the average episode duration by up to 1.7 days (p < 0.02) in comparison to three EFJ tablets daily regimen. Effective symptom resolution finally contributed to a low antibiotic prescription rate in this study of 4.6%. Conclusions: EFJ tablets present a valuable option for the treatment of acute cold episodes in children showing a wide safety margin and increased therapeutic benefits at five tablets daily.

Effect of a computer network-based feedback program on antibiotic prescription rates of primary care physicians: A cluster randomized crossover-controlled trial

ObjectiveAntibiotic overuse is one of the major prescription problems in rural China and a major risk factor for antibiotic resistance. Low antibiotic prescription rates can effectively reduce the risk of antibiotic resistance. We hypothesized that under a paperless, computer-based feedback system the rates of antibiotic prescriptions among primary care physicians can be reduced. MethodsA cluster randomized crossover open controlled trial was conducted in 31 hospitals. These hospitals were randomly allocated to two groups to receive the intervention for three months followed by no intervention for three months in a random sequence. The feedback intervention information, which displayed the physicians’ antibiotic prescription rates and ranking, was updated every 10 days. The primary outcome was the 10-day antibiotic prescription rate of the physicians. ResultsThere were 82 physicians in group 1 (intervention first followed by control) and 81 in group 2 (control first followed by intervention). Baseline comparison showed no significant difference in antibiotic prescription rate between the two groups (30.8% vs 35.2%, P-value=0.07). At the crossover point, the relative reduction in antibiotic prescription rate was significantly higher among physicians in the intervention group than in the control group (33.1% vs 20.3%, P-value<0.001). After a further 3 months, the rate of decline in antibiotic prescriptions was also significantly greater in the intervention group compared to the control group (14.2% vs 4.6%, P-value<0.001). The characteristics of physicians did not significantly determine the change in rate of antibiotic prescriptions. ConclusionA computer network-based feedback intervention can significantly reduce the antibiotic prescription rates of primary care outpatient physicians and continuously affected their prescription behavior for up to six months. Trial registrationChiCTR1900021823

Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK

ObjectiveThis study evaluated whether serious bacterial infections are more frequent at family practices with lower antibiotic prescribing rates.DesignCohort study.Setting706 UK family practices in the Clinical Practice Research Datalink from 2002...

General practitioners\u2019 accounts of negotiating antibiotic prescribing decisions with patients: a qualitative study on what influences antibiotic prescribing in low, medium and high prescribing practices

BackgroundAntimicrobial resistance (AMR) is high on the UK public health policy agenda, and poses challenges to patient safety and the provision of health services. Widespread prescribing of antibiotics is thought to increase AMR, and mostly takes place in primary medical care. However, prescribing rates vary substantially between general practices. The aim of this study was to understand contextual factors related to general practitioners’ (GPs) antibiotic prescribing behaviour in low, high, and around the mean (medium) prescribing primary care practices.MethodsQualitative semi-structured interviews were conducted with 41 GPs working in North-West England. Participants were purposively sampled from practices with low, medium, and high antibiotic prescribing rates adjusted for the number and characteristics of patients registered in a practice. The interviews were analysed thematically.ResultsThis study found that optimizing antibiotic prescribing creates tensions for GPs, particularly in doctor-patient communication during a consultation. GPs balanced patient expectations and their own decision-making in their communication. When not prescribing antibiotics, GPs reported the need for supportive mechanisms, such as regular practice meetings, within the practice, and in the wider healthcare system (e.g. longer consultation times). In low prescribing practices, GPs reported that increasing dialogue with colleagues, having consistent patterns of prescribing within the practice, supportive practice policies, and enough resources such as consultation time were important supports when not prescribing antibiotics.ConclusionsInsight into GPs’ negotiations with patient and public health demands, and consistent and supportive practice-level policies can help support prudent antibiotic prescribing among primary care practices.

Antibiotic use in clinical studies on homeopathy – a systematic review

Summary There are currently no official government strategies to formally investigate or use complementary and alternative therapies (CAM) in the treatment and/or prevention of human infectious diseases. This a particularly striking omission when the global threat of antimicrobial resistance requires consideration of all potential strategies to reduce the use of antibiotics. Additionally, observational studies have shown that CAM therapies can have lower antibiotic prescription rates than conventional healthcare approaches. The aim of this study was to create an overview of the currently available clinical research evidence assessing the effectiveness and safety of homeopathy in the context of antibiotic usage, for named human infectious diseases.

1122. Implementation of an Outpatient Antimicrobial Stewardship Program within a Pediatric Health System

BackgroundOver 60% of antibiotic expenditures occur in outpatient settings with at least 30% being unnecessary. In 2016, the Centers for Disease Control and Prevention (CDC) defined core elements for outpatient antimicrobial stewardship programs (ASP): commitment from all members of the healthcare team, action for policy and practice, tracking and reporting, and education and expertise. Quantifying local prescribing practices and frontline provider engagement are essential for successful outpatient ASP. We describe our outpatient ASP efforts at Children’s Mercy Kansas City (CM) emergency departments (ED) and urgent care clinics (UCC).MethodsIn March 2018, we created a report defining antibiotic prescribing patterns in 16 common pediatric infections using ICD-10 codes from ED and UCC encounters. Baseline data helped identify areas for targeted interventions and establish ED/UCC engagement, which we have maintained by ongoing review and sharing of data with leadership and frontline providers.ResultsBaseline data showed low antibiotic prescribing rates (<5%) for most viral infections, except a rate of 74% in otitis media with effusion (OME) (Figure 1). We also identified a higher rate of cefdinir use in acute otitis media (AOM), community-acquired pneumonia, and urinary tract infections (Figure 2). We developed and shared an outpatient antibiotic handbook facilitating diagnosis and treatment of common infections. Ongoing QI teams are focusing on increasing utilization of safety-net antibiotic prescriptions for eligible patients with AOM in EDs, decreasing antibiotic prescriptions of OME, and decreasing unnecessary rapid streptococcal testing in UCCs. Through these multiple interventions, in addition to email communications and newsletter articles, we observed early improvements in prescribing patterns, including OME antibiotic prescriptions and cefdinir use (Figures 1 and 2).ConclusionWe used the CDC’s core elements for outpatient ASP to successfully develop interventions in our EDs and UCCs. We created a report defining baseline prescribing patterns and identifying opportunities for improvement. Data sharing with leadership and frontline providers facilitated widespread engagement in ASP efforts. Disclosures All authors: No reported disclosures

Antibiotic prescribing for tonsillopharyngitis in a general practice setting: Can the use of Modified Centor Criteria reduce antibiotic prescribing?

Empirical treatment of sore throat with antibiotics has historically been aimed at preventing complications of group A β-haemolytic streptococcus infection. Threats posed by multi-resistant organisms mean that antimicrobial stewardship is important. The aim of this study was to investigate antibiotic prescribing for tonsillopharyngitis in relation to components of the Modified Centor Criteria (MCC) documented in consultation records. Analysis of two rural Australian general practices was performed using clinic management software. A keyword search for 'tonsillopharyngitis/tonsillitis/pharyngitis' identified consultations. Antibiotic prescribing was frequent and congruent with existing studies; however, documented evidence of history and examination covering MCC components was associated with lower antibiotic prescribing (77.7% versus 85.5%, P <0.001; odds ratio: 2.4; 95% confidence interval: 1.8, 3.3, P <0.0001). We believe this is the first study that assesses the correlation between documentation and prescribing. Adopting and documenting MCC may improve appropriate prescription and patient safety and significantly reduce antibiotic prescription rates.

Frequency of Antimicrobial Resistance in Shiga Toxin-Producing Escherichia coli (STEC) and Non-Typhoidal Salmonella (NTS) Clinical Infections and Association with Epidemiological Factors

BackgroundSTEC and NTS are leading causes of foodborne infections in the US. Monitoring resistance in these pathogens is essential to understand the distribution of resistance profiles and because of the high likelihood of horizontal transfer of resistance genes to other pathogens. Data involving resistance in clinical STEC and NTS isolates from Michigan is lacking.MethodsClinical STEC (n = 353) and NTS (n = 148) isolates from the MDHHS (2010–2014) were examined for resistance using disk diffusion, E-test or broth microdilution. Case information and epidemiological data for STEC isolates was extracted and associations with resistant infections were determined using chi square tests in SAS 9.3 and EpiInfo™ 7.ResultsOverall, 31 (8.8%, n = 353) STEC isolates were resistant to at least one antibiotic; high frequencies of resistance were observed for ampicillin (7.4%) and trimethoprim-sulfamethoxazole (4.0%). Resistance to ciprofloxacin (0.28%) and all three drug classes (0.28%) was less common. Preliminary results indicate that O157 resistance to ampicillin (4.8%) and trimethoprim-sulfamethoxazole (3.4%) was higher in Michigan compared with national frequencies (ampicillin = 2.7%, trimethoprim-sulfamethoxazole= 1.5%). Higher resistance frequencies were also observed in counties with high (11.3%) vs. low (7.7%) antibiotic prescription rates. For NTS, 23 (15.5%) isolates were resistant to ≥1 antibiotic. Resistance varied by serotype with high frequencies in Typhimurium (20%, n = 20), Newport (17.6%, n = 17) and Enteritidis (4.8%, n = 42); 11 (7.4%) NTS isolates were resistant to ≥3 antimicrobial classes.ConclusionContinuous monitoring of resistance in clinical STEC and NTS is warranted due to their importance as food pathogens. The identification of risk factors for resistance is crucial to develop alternative prevention practices to reduce the health burden of resistant infections in Michigan, which is not part of the FoodNet surveillance network.Disclosures All authors: No reported disclosures.

Effects of procalcitonin testing on antibiotic use and clinical outcomes in patients with upper respiratory tract infections. An individual patient data meta-analysis.

Several trials found procalcitonin (PCT) helpful for guiding antibiotic treatment in patients with lower respiratory tract infections and sepsis. We aimed to perform an individual patient data meta-analysis on the effects of PCT guided antibiotic therapy in upper respiratory tract infections (URTI). A comprehensive search of the literature was conducted using PubMed (MEDLINE) and Cochrane Library to identify relevant studies published until September 2016. We reanalysed individual data of adult URTI patients with a clinical diagnosis of URTI. Data of two trials were used based on PRISMA-IPD guidelines. Safety outcomes were (1) treatment failure defined as death, hospitalization, ARI-specific complications, recurrent or worsening infection at 28 days follow-up; and (2) restricted activity within a 14-day follow-up. Secondary endpoints were initiation of antibiotic therapy, and total days of antibiotic exposure. In total, 644 patients with a follow up of 28 days had a final diagnosis of URTI and were thus included in this analysis. There was no difference in treatment failure (33.1% vs. 34.0%, OR 1.0, 95% CI 0.7-1.4; p=0.896) and days with restricted activity between groups (8.0 vs. 8.0 days, regression coefficient 0.2 (95% CI -0.4 to 0.9), p=0.465). However, PCT guided antibiotic therapy resulted in lower antibiotic prescription (17.8% vs. 51.0%, OR 0.2, 95% CI 0.1-0.3; p<0.001) and in a 2.4 day (95% CI -2.9 to -1.9; p<0.001) shorter antibiotic exposure compared to control patients. PCT guided antibiotic therapy in the primary care setting was associated with reduced antibiotic exposure in URTI patients without compromising outcomes.

Medical and psychosocial factors associated with antibiotic prescribing in primary care: survey questionnaire and factor analysis.

Acute upper respiratory infections (AURI) are the leading causes of antibiotic prescribing in primary care although antibiotics are often not indicated. To gain an understanding of the knowledge, attitudes, and practices (KAP) of GPs in Singapore and the associated latent factors to guide the implementation of an effective programme to reduce antibiotic use in primary care. An anonymous survey on the KAP of antibiotic use in AURI of GPs in Singapore. KAP survey questionnaires were posted to all GPs from a database. To ascertain the latent factors affecting prescribing patterns, exploratory factor analysis was performed. Among 427 responses, 351 (82.2%) were from GPs working in private practice. It was found that 58.4% of GPs in the private versus 72.4% of those in the public sector recognised that >80% of AURIs were caused by viruses (P = 0.02). The majority of GPs (353/427; 82.7%) felt that antibiotics were overprescribed in primary care. Significant factors associated with low antibiotic prescribing were good medical knowledge and clinical competency (adjusted odds ratio [aOR] 3.2, 95% confidence interval [CI] = 2.4 to 4.3), good clinical practice (aOR 2.7 [95% CI = 2.0 to 3.6]), availability of diagnostic tests (aOR 1.4 [95% CI = 1.1 to 1.8]), and desire to improve clinical practice (aOR 1.5 [95% CI = 1.2 to 1.9]). The conservative practice of giving antibiotics 'to be on the safe side' is significantly less likely to be associated with low antibiotic prescribing (aOR 0.7 [95% CI = 0.5 to 0.9]). This is the first KAP survey on antibiotic prescribing for AURI among GPs in Singapore. With the latent factors identified, future interventions should be directed at addressing these factors to reduce inappropriate antibiotic prescribing.

DTB Select: 9 | September 2016

Assessing the risk: high vs. low antibiotic prescribing rates for RTIs ● RCOG guidance on nausea and vomiting in pregnancy ● Medical devices—USA vs. EU ● More on opioids for...

Interacting factors associated with Low antibiotic prescribing for respiratory tract infections in primary health care - a mixed methods study in Sweden.

BackgroundPrescribing of antibiotics for common infections varies widely, and there is no medical explanation. Systematic reviews have highlighted factors that may influence antibiotic prescribing and that this is a complex process. It is unclear how factors interact and how the primary care organization affects diagnostic procedures and antibiotic prescribing. Therefore, we sought to explore and understand interactions between factors influencing antibiotic prescribing for respiratory tract infections in primary care.MethodsOur mixed methods design was guided by the Triangulation Design Model according to Creswell. Quantitative and qualitative data were collected in parallel. Quantitative data were collected by prescription statistics, questionnaires to patients, and general practitioners’ audit registrations. Qualitative data were collected through observations and semi-structured interviews.ResultsFrom the analysis of the data from the different sources an overall theme emerged: A common practice in the primary health care centre is crucial for low antibiotic prescribing in line with guidelines. Several factors contribute to a common practice, such as promoting management and leadership, internalized guidelines including inter-professional discussions, the general practitioner’s diagnostic process, nurse triage, and patient expectation. These factors were closely related and influenced each other. The results showed that knowledge must be internalized and guidelines need to be normative for the group as well as for every individual.ConclusionsLow prescribing is associated with adapted and transformed guidelines within all staff, not only general practitioners. Nurses’ triage and self-care advice played an important role. Encouragement from the management level stimulated inter-professional discussions about antibiotic prescribing. Informal opinion moulders talking about antibiotic prescribing was supported by the managers. Finally, continuous professional development activities were encouraged for up-to-date knowledge.

What a difference a CRP makes. A prospective observational study on how point-of-care C-reactive protein testing influences antibiotic prescription for respiratory tract infections in Swedish primary health care

Objective: To explore how C-reactive protein (CRP) tests serve to support physicians in decisions concerning antibiotic prescription to patients with respiratory tract infections (RTI). Design. Prospective observational study. Setting: Primary health care centres in western Sweden. Subjects. Physicians in primary health care. Patients with acute RTI. Main outcome measures: Physician willingness to measure CRP, their ability to estimate CRP, and changes in decision-making concerning antibiotic treatment based on error estimate and the physician’s opinion of whether CRP measurement was crucial. Results: Data from 340 consultations were gathered. CRP testing was found to be crucial in 130 cases. In 86% of visits decisions regarding antibiotic prescription were unchanged. Physicians considering CRP crucial and physicians making an error estimate of CRP altered their decisions concerning antibiotic prescription after CRP testing more often than those who considered CRP unnecessary, and those making a more accurate estimate. Physicians changed their decision on antibiotic prescription in 49 cases. In the majority of these 49 cases physicians underestimated CRP levels, and the majority of changes were from “no” to “yes” as to whether to prescribe antibiotics. Conclusion: CRP is an important factor in the decision on whether to prescribe antibiotics for RTIs. Error estimates of CRP and willingness to measure CRP are important factors leading to physicians changing decisions on antibiotic treatment.Key pointsThere is a generally low antibiotic prescription rate and a high frequency of C-reactive protein (CRP) testing for respiratory tract infections (RTIs) in Sweden.CRP testing was considered essential to further management in 38% of cases.In 86% of visits decisions concerning antibiotic prescription were unchanged.The strongest predictors for revised decisions on antibiotic treatment were error estimates of CRP and the physician’s opinion that CRP measurement was crucial.