scholarly journals Changing antibiotic prescribing practices in outpatient primary care settings in China: Study protocol for a health information system-based cluster-randomised crossover controlled trial

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0259065
Author(s):  
Yue Chang ◽  
Yuanfan Yao ◽  
Zhezhe Cui ◽  
Guanghong Yang ◽  
Duan Li ◽  
...  
Keyword(s):  
Primary Care ◽  
Antibiotic Prescription ◽  
Intervention Group ◽  
Control Group ◽  
Antibiotic Prescribing ◽  
Prescription Rate ◽  
Feedback Intervention ◽  
Primary Care Settings ◽  
Cluster Randomised ◽  
Prescription Rates

Background The overuse and abuse of antibiotics is a major risk factor for antibiotic resistance in primary care settings of China. In this study, the effectiveness of an automatically-presented, privacy-protecting, computer information technology (IT)-based antibiotic feedback intervention will be evaluated to determine whether it can reduce antibiotic prescribing rates and unreasonable prescribing behaviours. Methods We will pilot and develop a cluster-randomised, open controlled, crossover, superiority trial. A total of 320 outpatient physicians in 6 counties of Guizhou province who met the standard will be randomly divided into intervention group and control group with a primary care hospital being the unit of cluster allocation. In the intervention group, the three components of the feedback intervention included: 1. Artificial intelligence (AI)-based real-time warnings of improper antibiotic use; 2. Pop-up windows of antibiotic prescription rate ranking; 3. Distribution of educational manuals. In the control group, no form of intervention will be provided. The trial will last for 6 months and will be divided into two phases of three months each. The two groups will crossover after 3 months. The primary outcome is the 10-day antibiotic prescription rate of physicians. The secondary outcome is the rational use of antibiotic prescriptions. The acceptability and feasibility of this feedback intervention study will be evaluated using both qualitative and quantitative assessment methods. Discussion This study will overcome limitations of our previous study, which only focused on reducing antibiotic prescription rates. AI techniques and an educational intervention will be used in this study to effectively reduce antibiotic prescription rates and antibiotic irregularities. This study will also provide new ideas and approaches for further research in this area. Trial registration ISRCTN, ID: ISRCTN13817256. Registered on 11 January 2020.

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

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Yue Chang
Keyword(s):  
Primary Care ◽  
Antibiotic Resistance ◽  
Computer Network ◽  
Antibiotic Prescription ◽  
Intervention Group ◽  
Control Group ◽  
P Value ◽  
Prescription Rate ◽  
Feedback Intervention ◽  
Prescription Rates

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 < 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). 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.

scholarly journals Optimizing Antibiotic Prescribing for Acute Respiratory Tract Infection in German Primary Care: Study Protocol for Evaluation of the RESIST Program (Preprint)

2020 ◽  
Author(s):  
Christin Löffler ◽  
Antje Krüger ◽  
Anne Daubmann ◽  
Julia Iwen ◽  
Marc Biedermann ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Tract Infection ◽  
Statutory Health Insurance ◽  
Antibiotic Prescription ◽  
Acute Respiratory Tract Infection ◽  
Control Group ◽  
Antibiotic Prescribing ◽  
Prescription Rate ◽  
Before And After

BACKGROUND The emergence and increased spread of microbial resistance is a major challenge to all health care systems worldwide. In primary care, acute respiratory tract infection (ARTI) is the health condition most strongly related to antibiotic overuse. OBJECTIVE The RESIST program aims at optimizing antibiotic prescribing for ARTI in German primary care. By completing a problem-orientated online training course, physicians are motivated and empowered to utilize patient-centered doctor-patient communication strategies, including shared decision making, in the treatment of patients with ARTI. METHODS RESIST will be evaluated in the form of a nonrandomized controlled trial. Approximately 3000 physicians of 8 (out of 16) German federal states can participate in the program. Patient and physician data are retrieved from routine health care data. Physicians not participating in the program serve as controls, either among the 8 participating regional Associations of Statutory Health Insurance Physicians (control group 1) or among the remaining associations not participating in RESIST (control group 2). Antibiotic prescription rates before the intervention (T0: 2016, 1st and 2nd quarters of 2017) and after the intervention (T1: 3rd quarter of 2017 until 1st quarter of 2019) will be compared. The primary outcome measure is the overall antibiotic prescription rate for all patients insured with German statutory health insurance before and after provision of the online course. The secondary outcome is the antibiotic prescription rate for coded ARTI before and after the intervention. RESULTS RESIST is publicly funded by the Innovations funds of the Federal Joint Committee in Germany and was approved in December 2016. Recruitment of physicians is now completed, and a total of 2460 physicians participated in the intervention. Data analysis started in February 2020. CONCLUSIONS With approximately 3000 physicians participating in the program, RESIST is among the largest real-world interventions aiming at reducing inadequate antibiotic prescribing for ARTI in primary care. Long-term follow up of up to 21 months will allow for investigating the sustainability of the intervention. CLINICALTRIAL ISRCTN Registry ISRCTN13934505; http://www.isrctn.com/ISRCTN13934505 INTERNATIONAL REGISTERED REPORT RR1-10.2196/18648

scholarly journals Optimizing Antibiotic Prescribing for Acute Respiratory Tract Infection in German Primary Care: Study Protocol for Evaluation of the RESIST Program

10.2196/18648 ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. e18648
Author(s):  
Christin Löffler ◽  
Antje Krüger ◽  
Anne Daubmann ◽  
Julia Iwen ◽  
Marc Biedermann ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Tract Infection ◽  
Statutory Health Insurance ◽  
Antibiotic Prescription ◽  
Acute Respiratory Tract Infection ◽  
Control Group ◽  
Antibiotic Prescribing ◽  
Prescription Rate ◽  
Before And After

Background The emergence and increased spread of microbial resistance is a major challenge to all health care systems worldwide. In primary care, acute respiratory tract infection (ARTI) is the health condition most strongly related to antibiotic overuse. Objective The RESIST program aims at optimizing antibiotic prescribing for ARTI in German primary care. By completing a problem-orientated online training course, physicians are motivated and empowered to utilize patient-centered doctor-patient communication strategies, including shared decision making, in the treatment of patients with ARTI. Methods RESIST will be evaluated in the form of a nonrandomized controlled trial. Approximately 3000 physicians of 8 (out of 16) German federal states can participate in the program. Patient and physician data are retrieved from routine health care data. Physicians not participating in the program serve as controls, either among the 8 participating regional Associations of Statutory Health Insurance Physicians (control group 1) or among the remaining associations not participating in RESIST (control group 2). Antibiotic prescription rates before the intervention (T0: 2016, 1st and 2nd quarters of 2017) and after the intervention (T1: 3rd quarter of 2017 until 1st quarter of 2019) will be compared. The primary outcome measure is the overall antibiotic prescription rate for all patients insured with German statutory health insurance before and after provision of the online course. The secondary outcome is the antibiotic prescription rate for coded ARTI before and after the intervention. Results RESIST is publicly funded by the Innovations funds of the Federal Joint Committee in Germany and was approved in December 2016. Recruitment of physicians is now completed, and a total of 2460 physicians participated in the intervention. Data analysis started in February 2020. Conclusions With approximately 3000 physicians participating in the program, RESIST is among the largest real-world interventions aiming at reducing inadequate antibiotic prescribing for ARTI in primary care. Long-term follow up of up to 21 months will allow for investigating the sustainability of the intervention. Trial Registration ISRCTN Registry ISRCTN13934505; http://www.isrctn.com/ISRCTN13934505 International Registered Report Identifier (IRRID) RR1-10.2196/18648

scholarly journals Impact of the COVID-19 Pandemic on Antibiotic Prescribing for Common Infections in The Netherlands: A Primary Care-Based Observational Cohort Study

Antibiotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 196
Author(s):  
Alma C. van de Pol ◽  
Josi A. Boeijen ◽  
Roderick P. Venekamp ◽  
Tamara Platteel ◽  
Roger A. M. J. Damoiseaux ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Primary Care ◽  
Health Care ◽  
Antibiotic Prescription ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Skin Infections ◽  
Prescription Rates ◽  
Ear Infections ◽  
Disease Entities

In 2020, the COVID-19 pandemic brought dramatic changes in the delivery of primary health care across the world, presumably changing the number of consultations for infectious diseases and antibiotic use. We aimed to assess the impact of the pandemic on infections and antibiotic prescribing in Dutch primary care. All patients included in the routine health care database of the Julius General Practitioners’ Network were followed from March through May 2019 (n = 389,708) and March through May 2020 (n = 405,688). We extracted data on consultations for respiratory/ear, urinary tract, gastrointestinal and skin infections using the International Classification of Primary Care (ICPC) codes. These consultations were combined in disease episodes and linked to antibiotic prescriptions. The numbers of infectious disease episodes (total and those treated with antibiotics), complications, and antibiotic prescription rates (i.e., proportion of episodes treated with antibiotics) were calculated and compared between the study periods in 2019 and 2020. Fewer episodes were observed during the pandemic months than in the same months in 2019 for both the four infectious disease entities and complications such as pneumonia, mastoiditis and pyelonephritis. The largest decline was seen for gastrointestinal infections (relative risk (RR), 0.54; confidence interval (CI), 0.51 to 0.58) and skin infections (RR, 0.71; CI, 0.67 to 0.75). The number of episodes treated with antibiotics declined as well, with the largest decrease seen for respiratory/ear infections (RR, 0.54; CI, 0.52 to 0.58). The antibiotic prescription rate for respiratory/ear infections declined from 21% to 13% (difference −8.0% (CI, −8.8 to −7.2)), yet the prescription rates for other infectious disease entities remained similar or increased slightly. The decreases in primary care infectious disease episodes and antibiotic use were most pronounced in weeks 15–19, mid-COVID-19 wave, after an initial peak in respiratory/ear infection presentation in week 11, the first week of lock-down. In conclusion, our findings indicate that the COVID-19 pandemic has had profound effects on the presentation of infectious disease episodes and antibiotic use in primary care in the Netherlands. Consequently, the number of infectious disease episodes treated with antibiotics decreased. We found no evidence of an increase in complications.

scholarly journals The effectiveness of repeating a social norm feedback intervention to high prescribers of antibiotics in general practice: a national regression discontinuity design

2019 ◽  
Vol 74 (12) ◽  
pp. 3603-3610 ◽  
Author(s):  
Michael Ratajczak ◽  
Natalie Gold ◽  
Simon Hailstone ◽  
Tim Chadborn
Keyword(s):  
Social Norm ◽  
Regression Discontinuity ◽  
Average Rate ◽  
Controlled Trial ◽  
Intervention Group ◽  
Medical Officer ◽  
Control Group ◽  
Antibiotic Prescribing ◽  
Regression Discontinuity Design ◽  
Feedback Intervention

Abstract Objectives Unnecessary antibiotic prescribing contributes to antimicrobial resistance. A randomized controlled trial in 2014–15 showed that a letter from England’s Chief Medical Officer (CMO) to high-prescribing GPs, giving feedback about their prescribing relative to the norm, decreased antibiotic prescribing. The CMO sent further feedback letters in succeeding years. We evaluated the effectiveness of the repeated feedback intervention. Methods Publicly available databases were used to identify GP practices whose antibiotic prescribing was in the top 20% nationally (the intervention group). In April 2017, GPs in every practice in the intervention group (n=1439) were sent a letter from the CMO. The letter stated that, ‘the great majority of practices in England prescribe fewer antibiotics per head than yours’. Practices in the control group received no communication (n=5986). We used a regression discontinuity design to evaluate the intervention because assignment to the intervention condition was exogenous, depending on a ‘rating variable’. The outcome measure was the average rate of antibiotic items dispensed from April 2017 to September 2017. Results The GP practices who received the letter changed their prescribing rates by −3.69% (95% CI=−2.29 to −5.10; P<0.001), representing an estimated 124 952 fewer antibiotic items dispensed. The effect is robust to different specifications of the model. Conclusions Social norm feedback from a high-profile messenger continues to be effective when repeated. It can substantially reduce antibiotic prescribing at low cost and on a national scale. Therefore, it is a worthwhile addition to antimicrobial stewardship programmes.

scholarly journals Do NHS GP surgeries employing GPs additionally trained in integrative or complementary medicine have lower antibiotic prescribing rates? Retrospective cross-sectional analysis of national primary care prescribing data in England in 2016

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e020488 ◽  
Author(s):  
Esther T van der Werf ◽  
Lorna J Duncan ◽  
Paschen von Flotow ◽  
Erik W Baars
Keyword(s):  
Primary Care ◽  
Tract Infection ◽  
Negative Binomial ◽  
Antibiotic Prescription ◽  
Additional Treatment ◽  
Digital Data ◽  
Future Research ◽  
Antibiotic Prescribing ◽  
Cross Sectional ◽  
Prescription Rates

ObjectiveTo determine differences in antibiotic prescription rates between conventional General Practice (GP) surgeries and GP surgeries employing general practitioners (GPs) additionally trained in integrative medicine (IM) or complementary and alternative medicine (CAM) (referred to as IM GPs) working within National Health Service (NHS) England.DesignRetrospective study on antibiotic prescription rates per STAR-PU (Specific Therapeutic group Age–sex weighting Related Prescribing Unit) using NHS Digital data over 2016. Publicly available data were used on prevalence of relevant comorbidities, demographics of patient populations and deprivation scores.SettingPrimary Care.Participants7283 NHS GP surgeries in England.Primary outcome measureThe association between IM GPs and antibiotic prescribing rates per STAR-PU with the number of antibiotic prescriptions (total, and for respiratory tract infection (RTI) and urinary tract infection (UTI) separately) as outcome.ResultsIM GP surgeries (n=9) were comparable to conventional GP surgeries in terms of list sizes, demographics, deprivation scores and comorbidity prevalence. Negative binomial regression models showed that statistically significant fewer total antibiotics (relative risk (RR) 0.78, 95% CI 0.64 to 0.97) and RTI antibiotics (RR 0.74, 95% CI 0.59 to 0.94) were prescribed at NHS IM GP surgeries compared with conventional NHS GP surgeries. In contrast, the number of antibiotics prescribed for UTI were similar between both practices.ConclusionNHS England GP surgeries employing GPs additionally trained in IM/CAM have lower antibiotic prescribing rates. Accessibility of IM/CAM within NHS England primary care is limited. Main study limitation is the lack of consultation data. Future research should include the differences in consultation behaviour of patients self-selecting to consult an IM GP or conventional surgery, and its effect on antibiotic prescription. Additional treatment strategies for common primary care infections used by IM GPs should be explored to see if they could be used to assist in the fight against antimicrobial resistance.

scholarly journals Marked reductions in outpatient antibiotic prescriptions for children and adolescents – a population-based study covering 83% of the paediatric population, Germany, 2010 to 2018

2020 ◽  
Vol 25 (31) ◽  
Author(s):  
Jakob Holstiege ◽  
Maike Schulz ◽  
Manas K Akmatov ◽  
Annika Steffen ◽  
Jörg Bätzing
Keyword(s):  
Antibiotic Prescription ◽  
Age Groups ◽  
European Countries ◽  
Antibiotic Prescribing ◽  
Third Generation ◽  
Prescription Rate ◽  
Age Group ◽  
Cross Sectional ◽  
Targeted Interventions ◽  
Prescription Rates

Background Prescribing of systemic antibiotics in general and of cephalosporins in particular in German paediatric outpatients has previously been reported to be higher than in other European countries. Aim Our objective was to assess recent trends in antibiotic prescribing in German children. Methods This study was conducted as consecutive annual cross-sectional analyses and included all children aged 0–14 years (n = 9,389,183 in 2018) covered by statutory health insurance in Germany. Annual antibiotic prescription rates from 2010 to 2018 were calculated for the age groups 0–1, 2–5, 6–9 and 10–14 years. Poisson regression was used to estimate trends of prescription rates by age group and antibiotic subgroup. Results Overall, the age-standardised antibiotic prescription rate decreased significantly by 43% from 746 prescriptions per 1,000 persons in 2010 to 428 per 1,000 in 2018 (p < 0.001). Reductions were most pronounced in the age groups 0–1 year (−50%) and 2–5 years (−44%). The age group 2–5 years exhibited the highest prescription rate with 683 per 1,000 in 2018 (0–1 year: 320/1,000; 6–9 years: 417/1,000; 10–14 years: 273/1,000). Cephalosporins (second and third generation) accounted for 32% of prescribed antibiotics. Conclusions Marked reductions in antibiotic prescribing during the last decade indicate a change towards more judicious paediatric prescribing habits. Compared with other European countries, however, prescribing of second- and third-generation cephalosporins remains high in Germany, suggesting frequent first-line use of these substances for common respiratory infections. Considerable regional variations underline the need for regionally targeted interventions.

SEASONAL VARIATIONS IN ANTIBIOTIC CONSUMPTION IN PAEDIATRIC PRIMARY CARE SETTINGS IN SERBIA

2015 ◽  
Vol 101 (1) ◽  
pp. e1.53-e1 ◽  
Author(s):  
Bojana Božić ◽  
Milica Bajčetić
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Seasonal Variations ◽  
Age Groups ◽  
Paediatric Population ◽  
Antibiotic Consumption ◽  
Antibiotic Prescribing ◽  
Number Of Children ◽  
Primary Care Settings ◽  
Prescription Rates

Background/ObjectiveAntibiotics are the most irrational prescribed drugs among the paediatric population. The aim of this study was to evaluate the seasonal variations in antibiotic prescribing profile among children in primary care settings in Serbia.MethodsPrescriptions of systemic antibiotics to the paediatric population (<18 years) for the period between 2011 and 2013 were analyzed by using the National Health Insurance Fund's outpatient reimbursement database.ResultsThe average number of antibiotic prescriptions was 1.887.615, while the average number of children receiving antibiotics was 728.285. The average annual rate was 1.394 antibiotic prescriptions per 1000 children. Significant differences in prescription rates in winter months compared to summer months were observed (t=5.51 p<0.001; t=2.29 p=0.045; t=3.65 p=0.004 for 95% confidence interval) during the followed up period. The average annual prevalence of antibiotic prescriptions was 54%. The most commonly prescribed antibiotics in paediatric population were amoxicillin, amoxicillin/clavulanic acid, cephalexin, azithromycin and erythromycin (90% of all prescribed antibiotics). The highest percentage of prescribed antibiotics was observed in the group of 2- to- 23- months-old children. Broad spectrum penicillins were the most prescribed antibiotics in all age groups, especially for children from 2–11 years of age, 51.92% (44.90%–57.13%), while the rate for cephalosporins was highest for children from 2–23 months, 30.91% (26.38%–36.44%), macrolides from 12 to 18 years, 22.67% (19.79%–26.05%) and quinolones from 0–1 month of age, 6.64% (5.09%–9.52%).ConclusionsSignificant seasonal variations in prescription practice and frequently used broad-spectrum antibiotics indicate that antibiotic prescribing is inappropriate.

scholarly journals 1345. Impact of the COVID-19 Pandemic on Pediatric Ambulatory Antibiotic Use in an Academic Health System

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S683-S684
Author(s):  
Sophie E Katz ◽  
Hillary Spencer ◽  
Jim Zhang ◽  
Ritu Banerjee ◽  
Ritu Banerjee
Keyword(s):  
Primary Care ◽  
Antibiotic Prescription ◽  
Medical Center ◽  
Antibiotic Use ◽  
Urgent Care ◽  
Antibiotic Prescribing ◽  
Provider Type ◽  
Prescription Rates ◽  
Student’S T ◽  
Almost All

Abstract Background It is unclear how the COVID-19 pandemic has impacted outpatient pediatric antibiotic prescribing. Methods We compared diagnoses and antibiotic prescription rates for children pre- vs post-COVID-19 in 5 ambulatory settings affiliated with Vanderbilt University Medical Center: emergency department (ED), urgent care clinics (including pediatric-only after-hours clinics [AHC]s and walk-in clinics [WIC] for all ages), primary care clinics (PCC), and retail health clinics (RHC). Time periods were pre-COVID-19 3/1/19 – 5/15/19 (P1); and post-COVID-19 3/1/20 – 5/15/20 (P2). Diagnoses and percent of encounters with an antibiotic prescription were analyzed by encounter (in-person vs telemedicine [TMed]), clinic and provider type. We also interviewed 16 providers about perceived COVID-19 impact on pediatric ambulatory antibiotic prescribing. Student’s T and χ 2 tests were used as appropriate. Results The number of pediatric ambulatory visits was 16671 in P1 and 7010 in P2. There were no TMed visits in P1 vs 188 in P2 (2.7% of total P2 visits); 186 (99% of TMed visits) were in PCC (Table). In all settings, the number of encounters was lower in P2 vs P1 (p&lt; 0.001). The percent of encounters with an antibiotic prescription was lower in P2 (32%) than in P1 (38.2%) (p&lt; 0.001) (Table) overall and in all settings except RHCs. Only 14 (7.4%) TMed visits resulted in an antibiotic prescription. There were no differences in antibiotic prescribing rates by provider type. Diagnoses varied significantly between periods in all clinic types except the ED, with noninfectious diagnoses being higher in P2 vs P1 (Figure 1). Providers felt that COVID-19 led to fewer but sicker patients presenting for care, and variable impact on antibiotic prescribing (Figure 2). Table. Percent of Encounters with an Antibiotic by Clinic Type, Pre- and Post-COVID-19 Figure 1. Diagnosis Rates by Clinic Type, Pre- and Post-COVID-19 Figure 2. Themes from Provider Interviews about perceived Impact of COVID-19 on Clinician Practice Conclusion The proportion of encounters with non-infectious diagnoses increased and antibiotic prescribing rates decreased significantly in all pediatric ambulatory settings post-COVID-19 except RHCs. Almost all TMed encounters occurred in the primary care setting, and few resulted in an antibiotic prescription. Providers felt they saw fewer patients and higher acuity of illness post COVID-19. Disclosures Hillary Spencer, MD, MPH, NIH (T32 grant support) (Grant/Research Support)

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