scholarly journals 154. Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Adults with Acute Pharyngitis

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S87-S87
Author(s):  
Ebbing Lautenbach ◽  
Keith W Hamilton ◽  
Robert Grundmeier ◽  
Melinda M Neuhauser ◽  
Lauri Hicks ◽  
...  
Keyword(s):  
Chart Review ◽  
Inappropriate Prescribing ◽  
Antibiotic Use ◽  
University Of Pennsylvania ◽  
Antibiotic Prescribing ◽  
Acute Pharyngitis ◽  
Test Characteristics ◽  
Appropriate Prescribing ◽  
Concurrent Infections ◽  
The Impact

Abstract Background Although most antibiotic use occurs in outpatients, antibiotic stewardship programs (ASPs) have primarily focused on inpatients. A major challenge for outpatient ASPs is lack of accurate and accessible electronic data to target interventions. We developed and validated an electronic algorithm to identify inappropriate antibiotic use for adult outpatients with acute pharyngitis. Methods In the University of Pennsylvania Health System, we used ICD-10 diagnostic codes to identify patient encounters for acute pharyngitis at outpatient practices between 3/15/17 – 3/14/18. Exclusion criteria included immunocompromising conditions, comorbidities, and concurrent infections that might require antibiotic use. We randomly selected 300 eligible subjects. Inappropriate antibiotic use based on chart review served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriate prescribing, choice of antibiotic, and duration included positive streptococcal testing, use of penicillin/amoxicillin (absent b-lactam allergy), and 10 days maximum duration of therapy. Results Of 300 subjects, median age was 42, 75% were female, 64% were seen by internal medicine (vs. family medicine), and 69% were seen by a physician (vs. advanced practice provider). On chart review, 127 (42%) subjects received an antibiotic, of which 29 had a positive streptococcal test and 4 had another appropriate indication. Thus, 74% (94/127) of patients received antibiotics inappropriately. Of the 29 patients who received appropriate prescribing, 27 (93%) received an appropriate antibiotic. Finally, of the 29 patients who were appropriately treated, 29 (100%) received the correct duration. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion Inappropriate antibiotic prescribing for acute pharyngitis is common. An electronic algorithm for identifying inappropriate prescribing, antibiotic choice, and duration is highly accurate. This algorithm could be used to efficiently assess prescribing among practices and individual clinicians. The impact of interventions based on this algorithm should be tested in future work. Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

scholarly journals 89. Construction of an Electronic Algorithm to Efficiently Target Antimicrobial Stewardship Efforts for Adults Hospitalized with Community-acquired Pneumonia

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S175-S176
Author(s):  
Ebbing Lautenbach ◽  
Keith W Hamilton ◽  
Robert Grundmeier ◽  
Melinda M Neuhauser ◽  
Lauri Hicks ◽  
...  
Keyword(s):  
Chart Review ◽  
Medical Center ◽  
Inappropriate Prescribing ◽  
General Medicine ◽  
Antibiotic Use ◽  
Community Acquired Pneumonia ◽  
University Of Pennsylvania ◽  
Duration Of Therapy ◽  
Test Characteristics ◽  
The Impact

Abstract Background Although antibiotic stewardship programs (ASPs) have had success in curtailing inappropriate antibiotic use, they remain time- and labor-intensive. To expand the reach of ASPs, approaches to more efficiently target ASP efforts are urgently needed. We developed and validated an electronic algorithm to identify inappropriate antibiotic use in patients hospitalized with community-acquired pneumonia (CAP). Methods Within the Hospital of the University of Pennsylvania (HUP) and Penn Presbyterian Medical Center (PPMC), we used ICD-10 diagnostic codes to identify inpatient patient encounters for pneumonia between 3/15/17 – 3/14/18 for which patients received a systemic antibiotic in the first 48 hours of hospitalization. Exclusion criteria included transfer from another facility, intensive care unit admission or death in first 48 hours, immunocompromising condition, or specific comorbidities. We randomly selected 300 subjects (150-HUP, 150-PPMC). Inappropriateness of antibiotic use based on chart review served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriate prescribing, choice of antibiotic, and duration of therapy were based on established hospital and IDSA guidelines. Results Of 300 subjects, median age was 60, 53% were female, and median hospital stay was 4.25 days. Of the 300 subjects, 237 (79%) were admitted to general medicine, hospitalist, family medicine, or geriatrics services. On chart review, 295 (98%) subjects were correctly diagnosed with CAP. Of these subjects, the choice of initial antibiotic(s) was appropriate in 263 (89%). Of these 263 subjects, 222 (84%) had an appropriate duration of therapy. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion An electronic algorithm for identifying inappropriate prescribing, antibiotic choice, and duration is highly accurate for patients hospitalized for CAP. This algorithm could be used to efficiently target ASP initiatives. The impact of interventions based on this algorithm should be tested in future studies. Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

scholarly journals 91. Development of an Electronic Algorithm to Identify Inappropriate Antibiotic Prescribing for Pediatric Otitis Media

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S176-S177
Author(s):  
Ebbing Lautenbach ◽  
Jeffrey Gerber ◽  
Robert Grundmeier ◽  
Keith W Hamilton ◽  
Lauri Hicks ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Otitis Media ◽  
Chart Review ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Health Record ◽  
Test Characteristics ◽  
Academic Practices ◽  
Electronic Health ◽  
The Impact

Abstract Background Antibiotic stewardship (AS) interventions have primarily focused on acute care settings. The majority of antibiotic use, however, occurs in outpatients. The electronic health record (EHR) might provide an effective and efficient tool for outpatient AS. We aimed to develop and validate an electronic algorithm to identify inappropriate antibiotic use for pediatric outpatients with acute otitis media (AOM). Methods Within the Children’s Hospital of Philadelphia (CHOP) Care Network, we used ICD-10 diagnostic codes to identify patient encounters for AOM at any CHOP practice between 3/15/17 – 3/14/18. Exclusion criteria included underlying immunocompromising condition, comorbidities, and concurrent infections that might influence antibiotic use. We randomly selected 450 eligible subjects (150 each from academic practices, non-academic practices, and urgent care). Inappropriate antibiotic use based on CHOP and professional society guidelines were assessed via chart review and served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriateness focused on the decision to prescribe, the choice of antibiotic, and duration of therapy. Results Of 450 subjects, median age was 2, 46% were female, and 88% were evaluated by a physician (vs. advanced practice provider). On chart review, the prescribing decision was correct in 438 (97%), of which 25 appropriately received no antibiotics. Of the 413 subjects who were appropriately prescribed an antibiotic, the choice of antibiotic was appropriate in 37 (9%). Finally, of the 413 patients who were appropriately treated, 412 (99.7%) received the correct duration. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion For children with AOM, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. This algorithm can also highlight for which elements of prescribing the impact of an intervention might be greatest (i.e., choice of agent). Future work should validate this approach in other health systems and geographic regions and evaluate the impact of an audit and feedback intervention based on this tool. Table. Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

scholarly journals 151. An Electronic Algorithm to Better Target Antimicrobial Stewardship Program (ASP) Efforts for Children Hospitalized with Community-Acquired Pneumonia (CAP)

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S85-S86
Author(s):  
Jeffrey Gerber ◽  
Robert Grundmeier ◽  
Keith W Hamilton ◽  
Lauri Hicks ◽  
Melinda M Neuhauser ◽  
...  
Keyword(s):  
Chart Review ◽  
Inappropriate Prescribing ◽  
Antibiotic Use ◽  
Community Acquired Pneumonia ◽  
Duration Of Therapy ◽  
Test Characteristics ◽  
Diagnostic Codes ◽  
Stewardship Program ◽  
Icd 10 ◽  
The Impact

Abstract Background Pediatric antibiotic stewardship programs (ASPs) have been successful in decreasing inappropriate antibiotic use. However, they require considerable time and effort. Approaches to increase ASP efficiency are urgently needed. We developed and validated an electronic algorithm to identify inappropriate antibiotic use in children hospitalized with community-acquired pneumonia (CAP). Methods At Children’s Hospital of Philadelphia (CHOP), we used ICD-10 diagnostic codes to identify inpatient patient encounters for pneumonia between 3/15/17 – 3/14/18 for which patients received a systemic antibiotic in the first 48 hours of hospitalization. Exclusion criteria included transfer from another facility, intensive care unit admission or death in first 48 hours, immunocompromising condition, or specific comorbidities. We randomly selected 150 subjects. Inappropriate antibiotic use based on chart review served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriate prescribing, choice of antibiotic, and duration of therapy were based on established CHOP and IDSA/PIDS guidelines. Results Of 148 eligible subjects, median age was 3.8, 48% were female, and 129 (86%) were admitted to a general pediatrics service. On chart review, 147 (99%) subjects were correctly diagnosed with CAP. Of these subjects, the choice of initial antibiotic(s) was appropriate in 133 (90%). Of the 147 subjects, 137 (93%) had an appropriate duration of therapy. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion In pediatric patients hospitalized with CAP, the electronic algorithm for identifying inappropriate prescribing, antibiotic choice, and duration was highly accurate. This algorithm could have considerable utility in targeting ASP initiatives. The impact of interventions based on this algorithm should be tested in the future Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

scholarly journals Development of an Electronic Algorithm to Identify Inappropriate Antibiotic Prescribing for Pediatric Pharyngitis

2020 ◽  
Vol 41 (S1) ◽  
pp. s188-s189
Author(s):  
Jeffrey Gerber ◽  
Robert Grundmeier ◽  
Keith Hamilton ◽  
Lauri Hicks ◽  
Melinda Neuhauser ◽  
...  
Keyword(s):  
Predictive Value ◽  
Gold Standard ◽  
Antibiotic Stewardship ◽  
Chart Review ◽  
Antibiotic Use ◽  
Audit And Feedback ◽  
Urgent Care ◽  
Antibiotic Prescribing ◽  
Tract Infections ◽  
The Impact

Background: Antibiotic overuse contributes to antibiotic resistance and unnecessary adverse drug effects. Antibiotic stewardship interventions have primarily focused on acute-care settings. Most antibiotic use, however, occurs in outpatients with acute respiratory tract infections such as pharyngitis. The electronic health record (EHR) might provide an effective and efficient tool for outpatient antibiotic stewardship. We aimed to develop and validate an electronic algorithm to identify inappropriate antibiotic use for pediatric outpatients with pharyngitis. Methods: This study was conducted within the Children’s Hospital of Philadelphia (CHOP) Care Network, including 31 pediatric primary care practices and 3 urgent care centers with a shared EHR serving >250,000 children. We used International Classification of Diseases, Tenth Revision (ICD-10) codes to identify encounters for pharyngitis at any CHOP practice from March 15, 2017, to March 14, 2018, excluding those with concurrent infections (eg, otitis media, sinusitis), immunocompromising conditions, or other comorbidities that might influence the need for antibiotics. We randomly selected 450 features for detailed chart abstraction assessing patient demographics as well as practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for evaluating the electronic algorithm. Criteria for appropriate use included streptococcal testing, use of penicillin or amoxicillin (absent β-lactam allergy), and a 10-day duration of therapy. Results: In 450 patients, the median age was 8.4 years (IQR, 5.5–9.0) and 54% were women. On chart review, 149 patients (33%) received an antibiotic, of whom 126 had a positive rapid strep result. Thus, based on chart review, 23 subjects (5%) diagnosed with pharyngitis received antibiotics inappropriately. Amoxicillin or penicillin was prescribed for 100 of the 126 children (79%) with a positive rapid strep test. Of the 126 children with a positive test, 114 (90%) received the correct antibiotic: amoxicillin, penicillin, or an appropriate alternative antibiotic due to b-lactam allergy. Duration of treatment was correct for all 126 children. Using the electronic algorithm, the proportion of inappropriate prescribing was 28 of 450 (6%). The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were sensitivity (99%, 422 of 427); specificity (100%, 23 of 23); positive predictive value (82%, 23 of 28); and negative predictive value (100%, 422 of 422). Conclusions: For children with pharyngitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. Future work should validate this approach in other settings and develop and evaluate the impact of an audit and feedback intervention based on this tool.Funding: NoneDisclosures: None

scholarly journals Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Acute Bronchitis

2020 ◽  
Vol 41 (S1) ◽  
pp. s32-s32
Author(s):  
Ebbing Lautenbach ◽  
Keith Hamilton ◽  
Robert Grundmeier ◽  
Melinda Neuhauser ◽  
Lauri Hicks ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Predictive Value ◽  
Gold Standard ◽  
Chart Review ◽  
Acute Bronchitis ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Diagnostic Codes ◽  
Icd 10 ◽  
The Impact

Background: Antibiotic resistance has increased at alarming rates, driven predominantly by antibiotic overuse. Although most antibiotic use occurs in outpatients, antimicrobial stewardship programs have primarily focused on inpatient settings. A major challenge for outpatient stewardship is the lack of accurate and accessible electronic data to target interventions. We sought to develop and validate an electronic algorithm to identify inappropriate antibiotic use for outpatients with acute bronchitis. Methods: This study was conducted within the University of Pennsylvania Health System (UPHS). We used ICD-10 diagnostic codes to identify encounters for acute bronchitis at any outpatient UPHS practice between March 15, 2017, and March 14, 2018. Exclusion criteria included underlying immunocompromising condition, other comorbidity influencing the need for antibiotics (eg, emphysema), or ICD-10 code at the same visit for a concurrent infection (eg, sinusitis). We randomly selected 300 (150 from academic practices and 150 from nonacademic practices) eligible subjects for detailed chart abstraction that assessed patient demographics and practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for assessment of the electronic algorithm. Because antibiotic use is not indicated for this study population, appropriateness was assessed based upon whether an antibiotic was prescribed or not. Results: Of 300 subjects, median age was 61 years (interquartile range, 50–68), 62% were women, 74% were seen in internal medicine (vs family medicine) practices, and 75% were seen by a physician (vs an advanced practice provider). On chart review, 167 (56%) subjects received an antibiotic. Of these subjects, 1 had documented concern for pertussis and 4 had excluding conditions for which there were no ICD-10 codes. One received an antibiotic prescription for a planned dental procedure. Thus, based on chart review, 161 (54%) subjects received antibiotics inappropriately. Using the electronic algorithm based on diagnostic codes, underlying and concurrent conditions, and prescribing data, the number of subjects with inappropriate prescribing was 170 (56%) because 3 subjects had antibiotic prescribing not noted based on chart review. The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were the following: sensitivity, 100% (161 of 161); specificity, 94% (130 of 139); positive predictive value, 95% (161 of 170); and negative predictive value, 100% (130 of 130). Conclusions: For outpatients with acute bronchitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. This algorithm could be used to efficiently assess prescribing among practices and individual clinicians. The impact of interventions based on this algorithm should be tested in future studies.Funding: NoneDisclosures: None

scholarly journals 229. Hospitalists Antimicrobial Scorecard Improves Antibiotic Prescribing at a Community Teaching Hospital

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S116-S116
Author(s):  
Julia Sessa ◽  
Helen Jacoby ◽  
Bruce Blain ◽  
Lisa Avery
Keyword(s):  
Patient Care ◽  
Teaching Hospital ◽  
Antimicrobial Stewardship ◽  
Rank Order ◽  
Antibiotic Use ◽  
Outpatient Setting ◽  
Antibiotic Prescribing ◽  
Full Time ◽  
Days Of Therapy ◽  
The Impact

Abstract Background Measuring antimicrobial consumption data is a foundation of antimicrobial stewardship programs. There is data to support antimicrobial scorecard utilization to improve antibiotic use in the outpatient setting. There is a lack of data on the impact of an antimicrobial scorecard for hospitalists. Our objective was to improve antibiotic prescribing amongst the hospitalist service through the development of an antimicrobial scorecard. Methods Conducted in a 451-bed teaching hospital amongst 22 full time hospitalists. The antimicrobial scorecard for 2019 was distributed in two phases. In October 2019, baseline antibiotic prescribing data (January – September 2019) was distributed. In January 2020, a second scorecard was distributed (October – December 2019) to assess the impact of the scorecard. The scorecard distributed via e-mail to physicians included: Antibiotic days of therapy/1,000 patient care days (corrected for attending census), route of antibiotic prescribing (% intravenous (IV) vs % oral (PO)) and percentage of patients prescribed piperacillin-tazobactam (PT) for greater than 3 days. Hospitalists received their data in rank order amongst their peers. Along with the antimicrobial scorecard, recommendations from the antimicrobial stewardship team were included for hospitalists to improve their antibiotic prescribing for these initiatives. Hospitalists demographics (years of practice and gender) were collected. Descriptive statistics were utilized to analyze pre and post data. Results Sixteen (16) out of 22 (73%) hospitalists improved their antibiotic prescribing from pre- to post-scorecard (χ 2(1)=3.68, p = 0.055). The median antibiotic days of therapy/1,000 patient care days decreased from 661 pre-scorecard to 618 post-scorecard (p = 0.043). The median PT use greater than 3 days also decreased significantly, from 18% pre-scorecard to 11% post-scorecard (p = 0.0025). There was no change in % of IV antibiotic prescribing and no correlation between years of experience or gender to antibiotic prescribing. Conclusion Providing antimicrobial scorecards to our hospitalist service resulted in a significant decrease in antibiotic days of therapy/1,000 patient care days and PT prescribing beyond 3 days. Disclosures All Authors: No reported disclosures

Inappropriate outpatient antibiotic use in children insured by Kentucky Medicaid

2021 ◽  
pp. 1-7
Author(s):  
Bethany A. Wattles ◽  
Kahir S. Jawad ◽  
Yana Feygin ◽  
Maiying Kong ◽  
Navjyot K. Vidwan ◽  
...  
Keyword(s):  
Claims Data ◽  
Inappropriate Prescribing ◽  
Patient Characteristics ◽  
Antibiotic Use ◽  
Population Based ◽  
Antibiotic Prescribing ◽  
Cross Sectional ◽  
Inappropriate Use ◽  
Pharmacy Claims ◽  
Medicaid Children

Abstract Objective: To describe risk factors associated with inappropriate antibiotic prescribing to children. Design: Cross-sectional, retrospective analysis of antibiotic prescribing to children, using Kentucky Medicaid medical and pharmacy claims data, 2017. Participants: Population-based sample of pediatric Medicaid patients and providers. Methods: Antibiotic prescriptions were identified from pharmacy claims and used to describe patient and provider characteristics. Associated medical claims were identified and linked to assign diagnoses. An existing classification scheme was applied to determine appropriateness of antibiotic prescriptions. Results: Overall, 10,787 providers wrote 779,813 antibiotic prescriptions for 328,515 children insured by Kentucky Medicaid in 2017. Moreover, 154,546 (19.8%) of these antibiotic prescriptions were appropriate, 358,026 (45.9%) were potentially appropriate, 163,654 (21.0%) were inappropriate, and 103,587 (13.3%) were not associated with a diagnosis. Half of all providers wrote 12 prescriptions or less to Medicaid children. The following child characteristics were associated with inappropriate antibiotic prescribing: residence in a rural area (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.07–1.1), having a visit with an inappropriate prescriber (OR, 4.15; 95% CI, 4.1–4.2), age 0–2 years (OR, 1.39; 95% CI, 1.37–1.41), and presence of a chronic condition (OR, 1.31; 95% CI, 1.28–1.33). Conclusions: Inappropriate antibiotic prescribing to Kentucky Medicaid children is common. Provider and patient characteristics associated with inappropriate prescribing differ from those associated with higher volume. Claims data are useful to describe inappropriate use and could be a valuable metric for provider feedback reports. Policies are needed to support analysis and dissemination of antibiotic prescribing reports and should include all provider types and geographic areas.

scholarly journals An Assessment of Inappropriate Antibiotic Use and Guideline Adherence for Uncomplicated Urinary Tract Infections

2018 ◽  
Vol 5 (9) ◽  
Author(s):  
Michael J Durkin ◽  
Matthew Keller ◽  
Anne M Butler ◽  
Jennie H Kwon ◽  
Erik R Dubberke ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Antibiotic Use ◽  
Emergency Department Visits ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Duration Of Treatment ◽  
Minimal Impact ◽  
Tract Infections ◽  
The Impact

Abstract Background In 2011, The Infectious Diseases Society of America released a clinical practice guideline (CPG) that recommended short-course antibiotic therapy and avoidance of fluoroquinolones for uncomplicated urinary tract infections (UTIs). Recommendations from this CPG were rapidly disseminated to clinicians via review articles, UpToDate, and the Centers for Disease Control and Prevention website; however, it is unclear if this CPG had an impact on national antibiotic prescribing practices. Methods We performed a retrospective cohort study of outpatient and emergency department visits within a commercial insurance database between January 1, 2009, and December 31, 2013. We included nonpregnant women aged 18–44 years who had an International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis code for a UTI with a concurrent antibiotic prescription. We performed interrupted time series analyses to determine the impact of the CPG on the appropriateness of the antibiotic agent and duration. Results We identified 654 432 women diagnosed with UTI. The patient population was young (mean age, 31 years) and had few comorbidities. Fluoroquinolones, nonfirstline agents, were the most commonly prescribed antibiotic class both before and after release of the guidelines (45% vs 42%). Wide variation was observed in the duration of treatment, with >75% of prescriptions written for nonrecommended treatment durations. The CPG had minimal impact on antibiotic prescribing behavior by providers. Conclusions Inappropriate antibiotic prescribing is common for the treatment of UTIs. The CPG was not associated with a clinically meaningful change in national antibiotic prescribing practices for UTIs. Further interventions are necessary to improve outpatient antibiotic prescribing for UTIs.

scholarly journals Parental self-medication with antibiotics for children promotes antibiotic over-prescribing in clinical settings in China

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Jiayao Xu ◽  
Xiaomin Wang ◽  
Kai Sing Sun ◽  
Leesa Lin ◽  
Xudong Zhou
Keyword(s):  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Clinical Settings ◽  
Cross Sectional Survey ◽  
Self Medication ◽  
Cross Sectional ◽  
Prescribing Behavior ◽  
The Past ◽  
Outpatient Settings ◽  
The Impact

Abstract Background Self-medication with antibiotics (SMA) is one of the most dangerous inappropriate antibiotic use behaviors. This study aims to investigate the impact of parental SMA for children before a consultation on their doctor’s subsequent antibiotic prescribing behavior, including intravenous (IV) antibiotic use in the clinical setting of China. Methods A cross-sectional survey was conducted between June 2017 and April 2018 in three provinces of China. A total of 9526 parents with children aged 0–13 years were investigated. Data from 1275 parents who had self-medicated their children and then visited a doctor in the past month were extracted and analyzed. Results One-third (410) of the studied children had parental SMA before the consultation and 83.9% of them were subsequently prescribed antibiotics by doctors. Children with parental SMA were more likely to be prescribed antibiotics (aOR = 7.79, 95% CI [5.74–10.58]), including IV antibiotics (aOR = 3.05, 95% CI [2.27–4.11]), and both oral and IV antibiotics (aOR = 3.42, 95% CI [2.42–4.84]), than children without parental SMA. Parents with SMA behaviors were more likely to request antibiotics (aOR = 4.05, 95% CI [2.59–6.31]) including IV antibiotics (aOR = 2.58, 95% CI [1.40–4.76]), and be fulfilled by doctors (aOR = 3.22, 95% CI [1.20–8.63]). Conclusions Tailored health education for parents is required in both community and clinical settings to discourage parental SMA for children. The doctors should not prescribe unnecessary antibiotics to reinforce parents’ SMA behaviors. We recommend expanding the current IV antibiotics ban in outpatient settings of China to cover outpatient pediatrics.

scholarly journals Impact of the COVID-19 pandemic on community antibiotic prescribing in Scotland

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
William Malcolm ◽  
Ronald A Seaton ◽  
Gail Haddock ◽  
Linsey Baxter ◽  
Sarah Thirlwell ◽  
...  
Keyword(s):  
Respiratory Infections ◽  
Age Groups ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Prescription Data ◽  
National Data ◽  
Time Data ◽  
Electronic Messaging ◽  
The Impact ◽  
Selection Of

Abstract Background Following concerns about increased antibiotic use during the COVID-19 pandemic, trends in community antibiotic prescriptions in Scotland were evaluated. Methods The primary care prescription electronic messaging system used in GP practices with NHS contracts provided near real-time data analysis of national data. The main outcome measures were the weekly number of prescriptions for antibiotics generated by prescribers in GP practices in 2020 compared with 2019. Results At end of Week 12 2020 (22 March), after a sharp increase, the number of prescriptions commonly used for respiratory infections was 44% higher than the corresponding week in 2019. The number of prescriptions for respiratory antibiotics reduced through April and May 2020, with 34% fewer prescriptions issued by end of Week 22 (31 May) than in the corresponding week in 2019. Reductions were pronounced in all age groups but particularly apparent for prescriptions for children aged 0–4 years. These data were compared with weekly prescriptions for a selection of non-respiratory antibiotics and no difference was seen between 2020 and 2019. Conclusions Trends in antibiotic prescription data show that after an initial surge, and following ‘lockdown’ in Scotland, the total number of prescriptions for antibiotics commonly used for respiratory infections fell. We believe this is the first published national evaluation of the impact of COVID-19 on community use of antibiotics. Further analysis of national data is planned to provide a greater understanding of the reasons behind these trends.

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