Antibiotic Prescribing In Primary Care Research Articles

Factors predicting amoxicillin prescribing in primary care among children: a cohort study.

BackgroundAntibiotic prescribing during childhood, most commonly for respiratory tract infections (RTIs), contributes to antimicrobial resistance, which is a major public health concern.AimTo identify factors associated with amoxicillin prescribing and RTI consultation attendance in young children in primary care.Design and settingCohort study in Bradford spanning pregnancy to age 24 months, collected 2007–2013, linked to electronic primary care and air pollution data.MethodAmoxicillin prescribing and RTI consultation rates/1000 child–years were calculated. Mixed-effects logistic regression models were fitted with general practice (GP) surgery as the random effect.ResultsThe amoxicillin prescribing rate among 2493 children was 710/1000 child–years during year 1 (95% confidence interval [CI] = 677 to 744) and 780/1000 (95% CI = 745 to 816) during year 2. During year 1, odds of amoxicillin prescribing were higher for boys (adjusted odds ratio [aOR] 1.36, 95% CI = 1.14 to 1.61), infants from socioeconomically deprived households (aOR 1.36, 95% CI = 1.00 to 1.86), and infants with a Pakistani ethnic background (with mothers born in the UK [aOR 1.44, 95% CI = 1.06 to 1.94] and outside [aOR 1.42, 95% CI = 1.07 to 1.90]). During year 2, odds of amoxicillin prescribing were higher for infants with a Pakistani ethnic background (with mothers born in the UK [aOR 1.46, 95% CI = 1.10 to 1.94] and outside [aOR 1.56, 95% CI = 1.19 to 2.04]) and those born <39 weeks gestation (aOR 1.20, 95% CI = 1.00 to 1.45). Additional risk factors included caesarean delivery, congenital anomalies, overcrowding, birth season, and childcare attendance, with GP surgery explaining 7%–9% of variation.ConclusionSocioeconomic status and ethnic background were associated with amoxicillin prescribing during childhood. Efforts to reduce RTI spread in household and childcare settings may reduce antibiotic prescribing in primary care.

The value, challenges and practical considerations of conducting qualitative research on antimicrobial stewardship in primary care.

In order to design appropriate antimicrobial stewardship (AMS) programmes, it is crucial to understand challenges to tackling antibiotic resistance (AMR) specific to each healthcare setting. Antibiotic prescribing in primary care accounts for most prescriptions with a significant proportion considered clinically inappropriate. Qualitative research has a long history in social sciences, but its value and contribution are still contested in medical journals including in the AMR/AMS field. However, through its focus on understanding, meaning making and explaining, qualitative research can offer insights in how to improve AMS efforts in primary care. This paper provides an overview of unique considerations, contributions and challenges related to using qualitative research in AMS to help the AMS community new to qualitative research to utilize its potential most fully. First, we discuss specific considerations for AMS in relation to the stages of conducting a qualitative study, including identifying a research question and choosing a suitable methodology; sampling appropriate participants; planning a recruitment strategy; choosing a method of data collection; and conducting data analysis. These are illustrated with examples of qualitative AMS studies in primary care. Second, we highlight the importance of patient and public involvement throughout all stages of the project and ensuring quality in qualitative AMS research. Finally, drawing on these considerations, we make a further case for the value and contribution of qualitative methodologies in AMS/AMR research while outlining future directions for both AMS and qualitative research, including the need for studies with diverse actors; interdisciplinary collaborations; and complex decisions on methodologies and timelines.

Contextual factors influencing physicians\u2019 perception of antibiotic prescribing in primary care in Germany\xa0\u2014\xa0a prospective observational study

BackgroundAntimicrobial resistance is a worldwide challenge for health services and systems alike. To reduce the overuse of antibiotics, multifaceted interventions are often used to achieve sustainable effects. It can be assumed that these effects are influenced by contextual factors. Embedded in the cluster randomized trial ARena (Sustainable reduction of antibiotic-induced antimicrobial resistance), the aim of this present study was to identify contextual factors associated with practitioners’ perceptions of antibiotic prescribing in German primary health care.MethodsIn a prospective observational study, data were generated in a three-wave survey study between January 2018 and July 2019. Analysis was performed using logistic regression models. The outcome of interest was the physician perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing, the independent variables of interest included individual characteristics, intervention arm allocation, primary care network (PCN) environment and characteristics of the medical practice.ResultsForty Six point eight percent (n = 126) of participants indicated to have perceived an impact on their decision-making regarding antibiotic prescribing by participating in the ARena project. Bivariate logistic regression analyses indicated that work experience (odds ratio (OR) 1.05, 95% confidence interval (CI) 1.006–1.103), PCN environment (OR 2.06, 95% CI 1.256–3.363), structural conditions (OR 1.66, 95% CI 1.161–2.371), environment of existing processes (OR 1.46, 95% CI 1.011–2.094), and externally defined general conditions (OR 1.57, 95% CI 1.035–2.378) were associated with physicians’ perceived impact of participating in the ARena project on decision-making regarding antibiotic prescribing. In the multivariable logistic regression analysis, only work experience OR 1.05 (95% CI 1.001–1.104) continuously showed a significant influence.ConclusionsThis study indicates that contextual factors at individual, practice, and system level influence physicians’ perceptions of antibiotic prescribing. Longer work experience appeared to be a significant influencing factor to be considered in antimicrobial stewardship programs.Trial registrationISRCTN, ISRCTN58150046 (registered 13.09.2017).

Optimizing responsiveness to feedback about antibiotic prescribing in primary care: protocol for two interrelated randomized implementation trials with embedded process evaluations

BackgroundAudit and feedback (A&F) that shows how health professionals compare to those of their peers, can be an effective intervention to reduce unnecessary antibiotic prescribing among family physicians. However, the most impactful design approach to A&F to achieve this aim is uncertain. We will test three design modifications of antibiotic A&F that could be readily scaled and sustained if shown to be effective: (1) inclusion of case-mix-adjusted peer comparator versus a crude comparator, (2) emphasizing harms, rather than lack of benefits, and (3) providing a viral prescription pad.MethodsWe will conduct two interrelated pragmatic randomized trials in January 2021. One trial will include family physicians in Ontario who have signed up to receive their MyPractice: Primary Care report from Ontario Health (“OH Trial”). These physicians will be cluster-randomized by practice, 1:1 to intervention or control. The intervention group will also receive a Viral Prescription Pad mailed to their office as well as added emphasis in their report on use of the pad. Ontario family physicians who have not signed up to receive their MyPractice: Primary Care report will be included in the other trial administered by Public Health Ontario (“PHO Trial”). These physicians will be allocated 4:1 to intervention or control. The intervention group will be further randomized by two factors: case-mix adjusted versus unadjusted comparator and emphasis or not on harms of antibiotics. Physicians in the intervention arm of this trial will receive one of four versions of a personalized antibiotic A&F letter from PHO. For both trials, the primary outcome is the antibiotic prescribing rate per 1000 patient visits, measured at 6 months post-randomization, the primary analysis will use Poisson regression and we will follow the intention to treat principle. A mixed-methods process evaluation will use surveys and interviews with family physicians to explore potential mechanisms underlying the observed effects, exploring targeted constructs including intention, self-efficacy, outcome expectancies, descriptive norms, and goal prioritization.DiscussionThis protocol describes the rationale and methodology of two interrelated pragmatic trials testing variations of theory-informed components of an audit and feedback intervention to determine how to optimize A&F interventions for antibiotic prescribing in primary care.Trial registrationNCT04594200, NCT05044052. CIHR Grant ID: 398514

Biomarker-guided antibiotics prescription for lower respiratory tract infections in primary care : CRP or PCT ?

Lower respiratory tract infections are a frequent cause of excessive antibiotic prescription. The use of CRP and PCT has been evaluated by recent trials as a mean to assist antibiotic prescription. These studies suggest a safe reduction of antibiotic usage when prescription is guided by biomarkers. There is at the moment no evidence benefiting one of the biomarkers over the other, but a recent Swiss trial could suggest an added benefit for PCT. For now, PCT is less available, more expensive and not reimbursed. Democratization of its use, and/or clear thresholds for the use of CRP are additional ways that could participate to reduce excessive antibiotic prescription in primary care.

Ridurre la prescrizione di antibiotici nelle cure primarie: dai test point-of-care in ambulatorio alla gestione della comunicazione senza rinunciare alle prove di efficacia

Strategies for reducing antibiotic prescriptions in primary care: from point-of-care tests in the clinic to managing communication without giving up evidence of efficacy The Point-of-care test (POCT) is a diagnostic test that can be performed in the outpatient clinic or at the patient’s bedside; the simplicity of execution and the availability of the result of POCT during the visit has led to a strong diffusion of these diagnostic aids. The results of the trial reviewed in the article of the month show a lack of effectiveness of a POCT, detecting 18 viruses and 3 bacteria, in reducing antibiotic prescribing in children visited for respiratory infection. The commentary explores other possible strategies, besides POCTs, to reduce antibiotic therapy in paediatric respiratory infections.

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.

Evidence-Based Management of Infective Conjunctivitis: A Review of Antibiotic Prescribing in Primary Care

Infective conjunctivitis is a common ophthalmic condition encountered in general practice. Topical antibiotics are often routinely prescribed in primary care for this generally self-limiting condition, despite evidence-based guidance consistently recommending otherwise. Injudicious antimicrobial prescribing has important social, economic, and public health consequences. This review discusses the evidence-based management of infective conjunctivitis and the implications of overprescribing antibiotics for this condition in primary care.

Context and general practitioner decision-making - a scoping review of contextual influence on antibiotic prescribing

BackgroundHow contextual factors may influence GP decisions in real life practice is poorly understood. The authors have undertaken a scoping review of antibiotic prescribing in primary care, with a focus on the interaction between context and GP decision-making, and what it means for the decisions made.MethodThe authors searched Medline, Embase and Cinahl databases for English language articles published between 1946 and 2019, focusing on general practitioner prescribing of antibiotics. Articles discussing decision-making, reasoning, judgement, or uncertainty in relation to antibiotic prescribing were assessed. As no universal definition of context has been agreed, any papers discussing terms synonymous with context were reviewed. Terms encountered included contextual factors, non-medical factors, and non-clinical factors.ResultsThree hundred seventy-seven full text articles were assessed for eligibility, resulting in the inclusion of 47. This article documented the experiences of general practitioners from over 18 countries, collected in 47 papers, over the course of 3 decades.Contextual factors fell under 7 themes that emerged in the process of analysis. These were space and place, time, stress and emotion, patient characteristics, therapeutic relationship, negotiating decisions and practice style, managing uncertainty, and clinical experience. Contextual presence was in every part of the consultation process, was vital to management, and often resulted in prescribing.ConclusionContext is essential in real life decision-making, and yet it does not feature in current representations of clinical decision-making. With an incomplete picture of how doctors make decisions in real life practice, we risk missing important opportunities to improve decision-making, such as antibiotic prescribing.

Reducing antibiotic prescribing using nudges: A systematic review of interventions in primary care

Introduction: Inappropriate antibiotic use in primary care is high. Nudge interventions, from the field of behavioural economics, are an approach to behaviour change that has been making significant inroads in healthcare. We conducted a systematic review to assess the effect of nudge interventions to reduce inappropriate antibiotic prescribing in primary care.

Exploring antibiotic prescribing in public and private primary care settings in Singapore: a qualitative analysis informing theory and evidence-based planning for value-driven intervention design

BackgroundSingapore’s healthcare system presents an ideal context to learn from diverse public and private operational models and funding systems.AimTo explore processes underpinning decision-making for antibiotic prescribing, by considering doctors’ experiences in different primary care settings.MethodsThirty semi-structured interviews were conducted with 17 doctors working in publicly funded primary care clinics (polyclinics) and 13 general practitioners (GP) working in private practices (solo, small and large). Data were analysed using applied thematic analysis following realist principles, synthesised into a theoretical model, informing solutions to appropriate antibiotic prescribing.ResultsGiven Singapore’s lack of national guidelines for antibiotic prescribing in primary care, practices are currently non-standardised. Themes contributing to optimal prescribing related first and foremost to personal valuing of reduction in antimicrobial resistance (AMR) which was enabled further by organisational culture creating and sustaining such values, and if patients were convinced of these too. Building trusting patient-doctor relationships, supported by reasonable patient loads among other factors were consistently observed to allow shared decision-making enabling optimal prescribing. Transparency and applying data to inform practice was a minority theme, nevertheless underpinning all levels of optimal care delivery. These themes are synthesised into the VALUE model proposed for guiding interventions to improve antibiotic prescribing practices.These should aim to reinforce intrapersonal Values consistent with prioritising AMR reduction, and Aligning organisational culture to these by leveraging standardised guidelines and interpersonal intervention tools. Such interventions should account for the wider systemic constraints experienced in publicly funded high patient turnover institutions, or private clinics with transactional models of care. Thus, ultimately a focus on Liaison between patient and doctor is crucial. For instance, building in adequate consultation time and props as discussion aids, or quick turnover communication tools in time-constrained settings. Message consistency will ultimately improve trust, helping to enable shared decision-making. Lastly, Use of monitoring data to track and Evaluate antibiotic prescribing using meaningful indicators, that account for the role of shared decision-making can also be leveraged for change.ConclusionsThese VALUE dimensions are recommended as potentially transferable to diverse contexts, and the model as implementation tool to be tested empirically and updated accordingly.

Antibiotic prescription in primary care from the perspective of family physicians: a qualitative study.

Antibiotic consumption increases worldwide steadily. Turkey is now top on the list of global consumption and became a prototype of excessive use of antibiotics. In the last two decades, family physicians (FPs) have become key figures in the healthcare system. This study aims to understand the reasons for inappropriate antibiotic prescribing and elicit suggestions for improving antibiotic use in primary care from doctors themselves. This is a qualitative semi-structured interview study with research dialogues guided by the Vancouver School of interpretive phenomenology. Fourteen FPs from different parts of Turkey were questioned on inappropriate antibiotic prescriptions and their suggestions for improving antibiotic use. The most important reasons for prescribing antibiotics without acceptable indications were patient expectations, defensive medical decision making, constraints due to workload, and limited access to laboratories. The most remarkable inference was the personal feeling of an insecure job environment of the FPs. The most potent suggestions for improving the quality of antibiotic prescription were public campaigns, improvements in the diagnostic infrastructures of primary care centers, and enhancing the social status of FPs. The FPs expressed strong concerns related to the complaints that patients make to administrative bodies. Primary care physicians work under immense pressure, stemming mainly from workload, patient expectations, and obstacles related to diagnostic processes. Improving the social status of physicians, increasing public awareness, and the facilitation of diagnostic procedures was the methods suggested for increasing antibiotic prescription accuracy.

Delayed antibiotic prescription in upper respiratory tract infections: a new trend?

Abstract Background Upper respiratory tract infections (URTI) are one of the main reasons for consultation in primary care. Approximately 60% of all antibiotic prescriptions aim at the treatment of URTI, even without a laboratory-based diagnosis. Delayed antibiotic prescription in primary care has shown to reduce antibiotic consumption, without increasing risk of complications, yet is not widely used. Rapid tests to confirm the etiology of URTI are available at pharmacies, but not purchased routinely. In this context, the aim of this study is to assess the knowledge of rapid tests for the diagnosis of URTI, and the awareness of strategies to decrease antibiotic use. Methods A team of experts in the field developed a questionnaire specifically for the purpose of this study. The Pharmacy graduate students of ESTESC-Coimbra Health School (Portugal) answered the questionnaire online. Results Over 90% of the respondents with a URTI stated that the general practitioner prescribed the antibiotic without a lab test. When given the option, 58% are willing to pay up to 50 Euros for a rapid test, yet are not familiar with any brand. Although the respondents aren’t familiarized with the concept, when asked, the majority (87%) are more likely to choose a delayed than an immediate prescription. Conclusions Pharmacy graduates are willing to support the use of delayed prescription, to give time for the lab confirmation of the diagnosis. A broader dissemination of the clinical evidence supporting the use of rapid tests and of delayed prescription is necessary to help managing URTI.

PRINCIPLE: a community-based COVID-19 platform trial

PRINCIPLE: a community-based COVID-19 platform trial

Understanding GPs' views and experiences of using clinical prediction rules in the management of respiratory infections: a qualitative study.

BackgroundRespiratory tract infections (RTIs) account for 60% of antibiotic prescribing in primary care. Several clinical prediction rules (CPRs) have been developed to help reduce unnecessary prescribing for RTIs, but there is a lack of studies exploring whether or how these CPRs are being used in UK general practice.AimTo explore UK GPs’ views and experiences with regards to RTI CPRs, and to identify barriers and facilitators to their use in practice.Design & settingA qualitative analysis of interviews with in-hours GPs working in the South and South West of England.MethodSemi-structured qualitative telephone interviews were conducted, digitally recorded, transcribed verbatim, and analysed using an inductive thematic approach. Patient and public involvement representatives contributed to study design and interpretation of findings.ResultsThirty-two GPs were interviewed. Some CPRs were more commonly used than others. Participants used CPRs to facilitate patient—clinician discussion, confirm and support their decision, and document the consultation. GPs also highlighted concerns including lack of time, inability of CPRs to incorporate patient complexity, a shift in focus from the patient during consultations, and limited use in remote consultation (during the COVID-19 pandemic).ConclusionThis study highlights the need for user-friendly CPRs that are readily integrated into computer systems, and easily embedded into routine practice to complement clinical decision-making. Existing CPRs need to be validated for other populations where demographics and clinical characteristics may differ, as well different settings including remote consultations and self-assessment.

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.

Does diagnostic uncertainty increase antibiotic prescribing in primary care?

This study aimed to determine the association between factors relevant to diagnostic uncertainty and physicians’ antibiotic-prescribing behaviour in primary care. A questionnaire survey was conducted on 327 physicians that measured their diagnostic ability, perceived frequency of diagnostic uncertainty, tolerance, and perceived patient tolerance of uncertainty. Physician antibiotic-prescribing behaviours were assessed based on their prescriptions (n = 207,804) of three conditions: upper respiratory tract infections (URTIs, antibiotics not recommended), acute tonsillitis (cautious use of antibiotics), and pneumonia (antibiotics recommended). A two-level logistic regression model determined the association between diagnostic uncertainty factors and physician antibiotic prescribing. Physicians perceived a higher frequency of diagnostic uncertainty resulting in higher antibiotic use for URTIs and less antibiotic use for pneumonia. Higher antibiotic use for acute tonsillitis was related to a low tolerance of uncertainty of physicians and patients. This study suggests that reducing diagnostic uncertainty and improving physician and patient uncertainty management could reduce antibiotic use.

Evaluation of the Quality of Antibiotic Prescribing in Primary Care: A Multicenter Longitudinal Study From Shenzhen, China.

Background: Currently, there is no comprehensive evaluation of the quality of antibiotic prescribing in China’s primary care facilities based on longitudinal data. Methods: We randomly selected 11 community health centers in Shenzhen, China, and collected all outpatient prescriptions of these centers from 2010 to 2015. To evaluate the quality of antibiotic prescribing, we used six quality indicators for analysis, including number of antibiotics per 100 consultations, ratio between broad-spectrum and narrow-spectrum antibiotics (B/N ratio), percentage of first-line antibiotics recommended by guidelines, percentage of oral antibiotics with a duration exceeding the guideline recommendation, and new pediatric-specific indicators such as percentage of antibiotics with amoxicillin (A index) and ratio between amoxicillin and broad-spectrum antibiotics (A/B ratio). Results: During the study period, 571,362 outpatient consultations resulted in antibiotic prescriptions, which contained 706,411 antibiotics. The overall number of antibiotics per 100 consultations decreased significantly from 93.50 in 2010 to 19.98 in 2015 (p = 0.004), but the B/N ratio showed an upward trend over time (p = 0.009). In different populations and different common infections, the number of antibiotics used decreased to varying degrees, while the B/N ratio increased to varying degrees, with the most obvious change in children <5 years. The percentage of first-line antibiotics for common infections was not high, ranging from 3.45 to 44.25% during 2014–2015. The percentage of oral antibiotics with an exceeded duration ranged from 0.70 to 19.39%. Moreover, the A index and A/B ratio in children remained low for a long time, which was 0.76% and 0.01 in 2015. Conclusion: A review of antibiotic prescribing in Shenzhen, China, showed a substantial reduction in antibiotic use in primary care. However, problems such as widespread use of broad-spectrum antibiotics, insufficient use of first-line antibiotics and low use of amoxicillin were prevalent. Improving and optimizing the quality of antibiotic prescribing, particularly in children prescriptions, will be the focus of future antibiotic stewardship in China.

Investigating the impact of COVID-19 on primary care antibiotic prescribing in North West London across two epidemic waves

ObjectivesWe investigated the impact of COVID-19 and national pandemic response on primary care antibiotic prescribing in London. MethodsIndividual prescribing records between 2015 and 2020 for 2 million residents in north west London were analysed. Prescribing records were linked to SARS-CoV-2 test results. Prescribing volumes, in total, and stratified by patient characteristics, antibiotic class and AWaRe classification, were investigated. Interrupted time series analysis was performed to detect measurable change in the trend of prescribing volume since the national lockdown in March 2020, immediately before the first COVID-19 peak in London. ResultsRecords covering 366 059 patients, 730 001 antibiotic items and 848 201 SARS-CoV-2 tests between January and November 2020 were analysed. Before March 2020, there was a background downward trend (decreasing by 584 items/month) in primary care antibiotic prescribing. This reduction rate accelerated to 3504 items/month from March 2020. This rate of decrease was sustained beyond the initial peak, continuing into winter and the second peak. Despite an overall reduction in prescribing volume, co-amoxiclav, a broad-spectrum “Access” antibiotic, prescribing rose by 70.1% in patients aged 50 and older from February to April. Commonly prescribed antibiotics within 14 days of a positive SARS-CoV-2 test were amoxicillin (863/2474, 34.9%) and doxycycline (678/2474, 27.4%). This aligned with national guidelines on management of community pneumonia of unclear cause. The proportion of “Watch” antibiotics used decreased during the peak in COVID-19. DiscussionA sustained reduction in community antibiotic prescribing has been observed since the first lockdown. Investigation of community-onset infectious diseases and potential unintended consequences of reduced prescribing is urgently needed.

Migliorare la comunicazione in ambulatorio riduce la prescrizione degli antibiotici per le infezioni respiratorie: i risultati di un RCT

Improving communication in the office reduces the prescription of antibiotics for respiratory infections: the results of an RCT Effective communication with parents in the clinic can reduce inappropriate antibiotic prescriptions in primary care for upper respiratory tract infections (URTI). In this American RCT with a gradual wedge of good methodological quality, the distance training program 'DIALOGUE AROUND RESPIRATORY ILLNESS TREATMENT' (DART QI), allows an overall reduction of 7% in the probability of prescribing antibiotics for URTI between the baseline period and post-surgery.