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 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 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 Prevalence of Inappropriate Antibiotic Prescribing in Primary Care Clinics within a Veterans Affairs Health Care System

2018 ◽  
Vol 62 (8) ◽  
Author(s):  
Nathan R. Shively ◽  
Deanna J. Buehrle ◽  
Cornelius J. Clancy ◽  
Brooke K. Decker
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Tract Infection ◽  
Health Care System ◽  
Primary Care Providers ◽  
Acute Respiratory Tract Infection ◽  
Chronic Obstructive ◽  
Antibiotic Prescribing ◽  
Care Providers ◽  
Care System

ABSTRACT Data are needed from outpatient settings to better inform antimicrobial stewardship. In this study, a random sample of outpatient antibiotic prescriptions by primary care providers (PCPs) at our health care system was reviewed and compared to consensus guidelines. Over 12 months, 3,880 acute antibiotic prescriptions were written by 76 PCPs caring for 40,734 patients (median panel, 600 patients; range, 33 to 1,547). PCPs ordered a median of 84 antibiotic prescriptions per 1,000 patients per year. Azithromycin (25.8%), amoxicillin-clavulanate (13.3%), doxycycline (12.4%), amoxicillin (11%), fluoroquinolones (11%), and trimethoprim-sulfamethoxazole (10.6%) were prescribed most commonly. Medical records corresponding to 300 prescriptions from 59 PCPs were analyzed in depth. The most common indications for these prescriptions were acute respiratory tract infection (28.3%), urinary tract infection (23%), skin and soft tissue infection (15.7%), and chronic obstructive pulmonary disease (COPD) exacerbation (6.3%). In 5.7% of cases, no reason for the prescription was listed. No antibiotic was indicated in 49.7% of cases. In 12.3% of cases, an antibiotic was indicated, but the prescribed agent was guideline discordant. In another 14% of cases, a guideline-concordant antibiotic was given for a guideline-discordant duration. Therefore, 76% of reviewed prescriptions were inappropriate. Ciprofloxacin and azithromycin were most likely to be prescribed inappropriately. A non-face-to-face encounter prompted 34% of prescriptions. The condition for which an antibiotic was prescribed was not listed in primary or secondary diagnosis codes in 54.5% of clinic visits. In conclusion, there is an enormous opportunity to reduce inappropriate outpatient antibiotic prescriptions.

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 Understanding the gender gap in antibiotic prescribing: a cross-sectional analysis of English primary care

BMJ Open ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. e020203 ◽  
Author(s):  
David R M Smith ◽  
F Christiaan K Dolk ◽  
Timo Smieszek ◽  
Julie V Robotham ◽  
Koen B Pouwels
Keyword(s):  
Primary Care ◽  
Tract Infection ◽  
Gender Gap ◽  
Antibiotic Prescription ◽  
The Elderly ◽  
Antibiotic Prescribing ◽  
Cross Sectional ◽  
Cross Sectional Analysis ◽  
Sectional Analysis ◽  
To Receive

ObjectivesTo explore the causes of the gender gap in antibiotic prescribing, and to determine whether women are more likely than men to receive an antibiotic prescription per consultation.DesignCross-sectional analysis of routinely collected electronic medical records from The Health Improvement Network (THIN).SettingEnglish primary care.ParticipantsPatients who consulted general practices registered with THIN between 2013 and 2015.Primary and secondary outcome measuresTotal antibiotic prescribing was measured in children (<19 years), adults (19–64 years) and the elderly (65+ years). For 12 common conditions, the number of adult consultations was measured, and the relative risk (RR) of being prescribed antibiotics when consulting as female or with comorbidity was estimated.ResultsAmong 4.57 million antibiotic prescriptions observed in the data, female patients received 67% more prescriptions than male patients, and 43% more when excluding antibiotics used to treat urinary tract infection (UTI). These gaps were more pronounced in adult women (99% more prescriptions than men; 69% more when excluding UTI) than in children (9%; 0%) or the elderly (67%; 38%). Among adults, women accounted for 64% of consultations (62% among patients with comorbidity), but were not substantially more likely than men to receive an antibiotic prescription when consulting with common conditions such as cough (RR 1.01; 95% CI 1.00 to 1.02), sore throat (RR 1.01, 95% CI 1.00 to 1.01) and lower respiratory tract infection (RR 1.00, 95% CI 1.00 to 1.01). Exceptions were skin conditions: women were less likely to be prescribed antibiotics when consulting with acne (RR 0.67, 95% CI 0.66 to 0.69) or impetigo (RR 0.85, 95% CI 0.81 to 0.88).ConclusionsThe gender gap in antibiotic prescribing can largely be explained by consultation behaviour. Although in most cases adult men and women are equally likely to be prescribed an antibiotic when consulting primary care, it is unclear whether or not they are equally indicated for antibiotic therapy.

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 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 Inappropriate Azithromycin Use in Nine Primary-Care Clinics Before and After Implementation of Provider Guidance in the EMR

2020 ◽  
Vol 41 (S1) ◽  
pp. s292-s293
Author(s):  
Alexandria May ◽  
Allison Hester ◽  
Kristi Quairoli ◽  
Sheetal Kandiah
Keyword(s):  
Primary Care ◽  
Retrospective Chart Review ◽  
Antibiotic Prescribing ◽  
Upper Respiratory Tract ◽  
National Guidelines ◽  
Targeted Interventions ◽  
Primary Care Clinics ◽  
Before And After ◽  
Upper Respiratory ◽  
Tract Infections

Background: According to the CDC Core Elements of Outpatient Stewardship, the first step in optimizing outpatient antibiotic use the identification of high-priority conditions in which antibiotics are commonly used inappropriately. Azithromycin is a broad-spectrum antimicrobial commonly used inappropriately in clinical practice for nonspecific upper respiratory infections (URIs). In 2017, a medication use evaluation at Grady Health System (GHS) revealed that 81.4% of outpatient azithromycin prescriptions were inappropriate. In an attempt to optimize outpatient azithromycin prescribing at GHS, a tool was designed to direct the prescriber toward evidence-based therapy; it was implemented in the electronic medical record (EMR) in January 2019. Objective: We evaluated the effect of this tool on the rate of inappropriate azithromycin prescribing, with the goal of identifying where interventions to improve prescribing are most needed and to measure progress. Methods: This retrospective chart review of adult patients prescribed oral azithromycin was conducted in 9 primary care clinics at GHS between February 1, 2019, and April 30, 2019, to compare data with that already collected over a 6-month period in 2017 before implementation of the antibiotic prescribing guidance tool. The primary outcome of this study was the change in the rate of inappropriate azithromycin prescribing before and after guidance tool implementation. Appropriateness was based on GHS internal guidelines and national guidelines. Inappropriate prescriptions were classified as inappropriate indication, unnecessary prescription, excessive or insufficient treatment duration, and/or incorrect drug. Results: Of the 560 azithromycin prescriptions identified during the study period, 263 prescriptions were included in the analysis. Overall, 181 (68.8%) of azithromycin prescriptions were considered inappropriate, representing a 12.4% reduction in the primary composite outcome of inappropriate azithromycin prescriptions. Bronchitis and unspecified upper respiratory tract infections (URI) were the most common indications where azithromycin was considered inappropriate. Attending physicians prescribed more inappropriate azithromycin prescriptions (78.1%) than resident physicians (37.0%) or midlevel providers (37.0%). Also, 76% of azithromycin prescriptions from nonacademic clinics were considered inappropriate, compared with 46% from academic clinics. Conclusions: Implementation of a provider guidance tool in the EMR lead to a reduction in the percentage of inappropriate outpatient azithromycin prescriptions. Future targeted interventions and stewardship initiatives are needed to achieve the stewardship program’s goal of reducing inappropriate outpatient azithromycin prescriptions by 20% by 1 year after implementation.Funding: NoneDisclosures: None

A randomized trial of computer-based reminders and audit and feedback to improve HIV screening in a primary care setting

2009 ◽  
Vol 20 (8) ◽  
pp. 527-533 ◽  
Author(s):  
V Sundaram ◽  
L C Lazzeroni ◽  
L R Douglass ◽  
G D Sanders ◽  
P Tempio ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Primary Care ◽  
Health Care ◽  
Hiv Testing ◽  
Health Care System ◽  
Control Group ◽  
Hiv Screening ◽  
Risk Behaviours ◽  
Primary Care Clinics ◽  
Computer Based

Despite recommendations for voluntary HIV screening, few medical centres have implemented screening programmes. The objective of the study was to determine whether an intervention with computer-based reminders and feedback would increase screening for HIV in a Department of Veterans Affairs (VA) health-care system. The design of the study was a randomized controlled trial at five primary care clinics at the VA Palo Alto Health Care System. All primary care providers were eligible to participate in the study. The study intervention was computer-based reminders to either assess HIV risk behaviours or to offer HIV testing; feedback on adherence to reminders was provided. The main outcome measure was the difference in HIV testing rates between intervention and control group providers. The control group providers tested 1.0% ( n = 67) and 1.4% ( n = 106) of patients in the preintervention and intervention period, respectively; intervention providers tested 1.8% ( n = 98) and 1.9% ( n = 114), respectively ( P = 0.75). In our random sample of 753 untested patients, 204 (27%) had documented risk behaviours. Providers were more likely to adhere to reminders to test rather than with reminders to perform risk assessment (11% versus 5%, P < 0.01). Sixty-one percent of providers felt that lack of time prevented risk assessment. In conclusion, in primary care clinics in our setting, HIV testing rates were low. Providers were unaware of the high rates of risky behaviour in their patient population and perceived important barriers to testing. Low-intensity clinical reminders and feedback did not increase rates of screening.

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