scholarly journals Road to Increasing AMR: A Study on Antibiotics Prescribing Pattern

2020 ◽  
Vol 41 (S1) ◽  
pp. s496-s497
Author(s):  
Bobson Derrick Fofanah ◽  
Christiana Conteh ◽  
Jamine Weiss
Keyword(s):  
Broad Spectrum ◽  
Inappropriate Prescribing ◽  
Antibiotic Use ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Antimicrobial Use ◽  
Strict Adherence ◽  
Targeted Interventions ◽  
Broad Spectrum Antibiotics ◽  
Trade Names

Background: Infectious diseases and the rapid emergence of multidrug-resistant pathogens continue to pose a threat to global health. The development of antimicrobial-resistant organisms is an alarming issue caused by inappropriate use of antibiotic agents. It is estimated that death from antimicrobial resistant pathogens could increase >10-fold to ~10 million deaths annually by 2050 if action is not taken. “It is essential to have reliable data on how medicines are used in order to identify areas to develop targeted interventions” (WHO 2011). Investigating antimicrobial use in hospitals is the first step in evaluating the underlying causes of AMR. In Sierra Leone, no other study related to antibiotic prescribing patterns in hospital setting has been undertaken. Objective: To investigate antibiotic prescription patterns using the WHO hospital antimicrobial use indicator tool at the Kingharman Hospital for 1 month. Methods: Data were collected from patient charts for 1 month, January 1–31, 2019. A data extraction tool was used to capture information on patient demographics, diagnosis, and antibiotics prescription details regarding dosage, duration, and frequency of administration. The tool adopted 6 selected indicators from the WHO antimicrobial use manual to measure the extent of antibiotic use in hospital and performance among prescribers. Results: Of the 189 charts reviewed, 175 included antibiotic prescriptions. The percentage of prescriptions involving antibiotics was 92.5%. The average number of drugs prescribed was 2, with an average duration of 5.2 days. Moreover, 50.5% of antibiotics prescribed were generic, and 96.6% were from the Ministry of Health and Sanitation Essential Medicine List (EML). The most commonly used antibiotics were ciprofloxacin (38.8%), followed by ceftriaxone (23.0%), amoxicillin (16.8%), metronidazole (8.5%), and others(12.7%). Typhoid accounted for 34.8% of broad-spectrum antibiotics, UTI accounted for 17.7%, malaria accounted for 12.5%, 25.5% were unspecified, and 9.5% were for unclear diagnoses. Typically, combinations of fluroquinolones and cephalosporins were used to treat typhoid and UTIs. Conclusions: This cross-sectional study represents a broad picture of antibiotic prescribing patterns at the King Harman Hospital. There was no strict adherence to the WHO recommended prescribing guidelines. These findings also indicate the degree of irrational and inappropriate prescribing of broad-spectrum antibiotics. This study highlights the need for a comprehensive assessment of antimicrobial use to gain a better understanding of national antibiotic use and to guide interventions to reducing AMR.Funding: NoneDisclosures: NoneIf I am discussing specific healthcare products or services, I will use generic names to extent possible. If I need to use trade names, I will use trade names from several companies when available, and not just trade names from any single company.DisagreeChristiana Kallon

scholarly journals Identifying antibiotic prescribing patterns through multi-level latent profile analyses: a cross-sectional survey of primary care physicians in Hubei of China

2020 ◽  
Author(s):  
Dan Wang ◽  
Chaojie Liu ◽  
Xinping Zhang ◽  
Chenxi Liu
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Primary Care Physicians ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Latent Profile Analyses ◽  
Broad Spectrum Antibiotics

Abstract Background Overuse of antibiotics significantly fuels the development of AMR, which threating the global population health. Great variations existed in antibiotic prescribing practices among physicians, indicating improvement potential for rational use of antibiotics. This study aims to identify antibiotic prescribing patterns of primary care physicians and potential determinants. Methods A cross-sectional survey was conducted on 551 physicians from 67 primary care facilities in Hubei selected through random cluster sampling, tapping into their knowledge, attitudes and prescribing practices toward antibiotics. Prescriptions (n=501,072) made by the participants from 1 January to 31 March 2018 were extracted from the medical records system. Seven indicators were calculated for each prescriber: average number of medicines per prescription, average number of antibiotics per prescription, percentage of prescriptions containing antibiotics, percentage of antibiotic prescriptions containing broad-spectrum antibiotics, percentage of antibiotic prescriptions containing parenteral administered antibiotics, percentage of antibiotic prescriptions containing restricted antibiotics, and percentage of antibiotic prescriptions containing antibiotics included in the WHO “Watch and Reserve” list. Two-level latent profile analyses were performed to identify the antibiotic prescribing patterns of physicians based on those indicators. Multi-nominal logistic regression models were established to identify determinants with the antibiotic prescribing patterns. Results On average, each primary care physician issued 909 (ranging from 100 to 11941 with a median of 474) prescriptions over the study period. The mean percentage of prescriptions containing antibiotics issued by the physicians reached 52.19% (SD=17.20%). Of those antibiotic prescriptions, an average of 82.29% (SD=15.83%) contained broad-spectrum antibiotics; 71.92% (SD=21.42%) contained parenteral administered antibiotics; 23.52% (SD=19.12%) contained antibiotics restricted by the regional government; and 67.74% (SD=20.98%) contained antibiotics listed in the WHO “Watch and Reserve” list. About 28.49% of the prescribers were identified as low antibiotic users, compared with 51.18% medium users and 20.33% high users. Higher use of antibiotics was associated with insufficient knowledge, indifference to changes, complacency with satisfied patients, low household income and rural location of the prescribers. Conclusion Great variation in antibiotic prescribing patterns exists among primary care physicians in Hubei of China. High use of antibiotics is not only associated with knowledge shortfalls but also low socioeconomic status of prescribers.

scholarly journals Physicians under Pressure: Evidence from Antibiotics Prescribing in England

2022 ◽  
pp. 0272989X2110699
Author(s):  
Thomas Allen ◽  
Dorte Gyrd-Hansen ◽  
Søren Rud Kristensen ◽  
Anne Sophie Oxholm ◽  
Line Bjørnskov Pedersen ◽  
...  
Keyword(s):  
General Practitioners ◽  
Broad Spectrum ◽  
Fixed Effects ◽  
Linear Models ◽  
Inappropriate Prescribing ◽  
Antibiotic Prescribing ◽  
Policy Makers ◽  
Societal Costs ◽  
Broad Spectrum Antibiotics ◽  
Different Sources

Background Many physicians are experiencing increasing demands from both their patients and society. Evidence is scarce on the consequences of the pressure on physicians’ decision making. We present a theoretical framework and predict that increasing pressure may make physicians disregard societal welfare when treating patients. Setting We test our prediction on general practitioners’ antibiotic-prescribing choices. Because prescribing broad-spectrum antibiotics does not require microbiological testing, it can be performed more quickly than prescribing for narrow-spectrum antibiotics and is therefore often preferred by the patient. In contrast, from a societal perspective, inappropriate prescribing of broad-spectrum antibiotics should be minimized as it may contribute to antimicrobial resistance in the general population. Methods We combine longitudinal survey data and administrative data from 2010 to 2017 to create a balanced panel of up to 1072 English general practitioners (GPs). Using a series of linear models with GP fixed effects, we estimate the importance of different sources of pressure for GPs’ prescribing. Results We find that the percentage of broad-spectrum antibiotics prescribed increases by 6.4% as pressure increases on English GPs. The link between pressure and prescribing holds for different sources of pressure. Conclusions Our findings suggest that there may be societal costs of physicians working under pressure. Policy makers need to take these costs into account when evaluating existing policies as well as when introducing new policies affecting physicians’ work pressure. An important avenue for further research is also to determine the underlying mechanisms related to the different sources of pressure.JEL-code: I11, J28, J45 Highlights Many physicians are working under increasing pressure. We test the importance of pressure on physicians’ prescribing of antibiotics. The prescribed rate of broad-spectrum antibiotics increases with pressure. Policy makers should be aware of the societal costs of pressured physicians. [Formula: see text]

scholarly journals 2034. Standardized Point Prevalence Survey on Antibiotic Use to Inform Antimicrobial Stewardship Strategies in the Caribbean

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S683-S684
Author(s):  
Jenny Hsieh ◽  
Hatim Sati ◽  
Pilar Ramon-Pardo ◽  
Nienke Bruinsma ◽  
Marcelo F. Galas ◽  
...  
Keyword(s):  
Antimicrobial Stewardship ◽  
Antibiotic Use ◽  
Point Prevalence ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Antimicrobial Use ◽  
Feedback Systems ◽  
Prevalence Survey ◽  
Local Capacity ◽  
The Caribbean

Abstract Background Inappropriate use of antimicrobials is one of the core contributors to antimicrobial resistance. While hospitals create high selection pressures on bacteria due to the high quantity and broader spectrum of antibiotics used, information on antimicrobial use at the patient level in the Caribbean is sparse. In response, PAHO implemented a standardized WHO methodology to engage national leaderships, build local capacity, and facilitate the use of data to inform antimicrobial stewardship programs (ASP) in the Caribbean. Methods Point prevalence surveys (PPS) were performed in four acute care hospitals in Barbados, Guyana and Saint Lucia between June and July 2018. Medical records of all inpatients were reviewed to collect information on antibiotic use, indications and use of laboratory services (Figure 1). A hospital questionnaire was used to assess hospital infrastructure, policy and practices, and monitoring and feedback systems (Figure 2). Training on PPS methods and electronic data collection tool in REDCap™ were provided to build local capacity and identify potential ASP leaderships. A standardized data validation, analysis and reporting system was built in R to streamline the process. Results and recommendations were disseminated to national authorities and stakeholders to support hospital and national decision-making and training for healthcare providers (Figure 3). Results A total of 60 physicians, nurses, pharmacists, laboratory technicians, and infection control specialists were trained and participated in the PPS. The survey collected records of 816 patients in which 442 (54%) were females and 374 (46%) were males. In total, 356 (44%) patients received 551 antibiotics. Overall, 300 (75%) of 398 indications for antibiotic use were treatment and 72 (18%) were prophylaxis. A higher use of parenteral antibiotics (79%) was observed compared with oral antibiotics (21%). Antibiotic prescribing patterns differed across hospitals. The most commonly used antibiotics were metronidazole (12%) and amoxicillin/clavulanate (11%). Conclusion The PPS method provided a feasible and effective way to collect baseline data and identify target areas for interventions. Engaging national leaderships and building local capacity offered a sustainable way in optimizing antimicrobial use in resource-limited settings. Disclosures All authors: No reported disclosures.

scholarly journals Identifying Antibiotic Prescribing Patterns Through Multi-Level Latent Profile Analyses: A Cross-Sectional Survey of Primary Care Physicians

2020 ◽  
Vol 11 ◽  
Author(s):  
Dan Wang ◽  
Chaojie Liu ◽  
Xinping Zhang ◽  
Chenxi Liu
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Primary Care Physicians ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Latent Profile Analyses ◽  
Broad Spectrum Antibiotics

Background: Overuse of antibiotics significantly fuels the development of Antimicrobial resistance, which threating the global population health. Great variations existed in antibiotic prescribing practices among physicians, indicating improvement potential for rational use of antibiotics. This study aims to identify antibiotic prescribing patterns of primary care physicians and potential determinants.Methods: A cross-sectional survey was conducted on 551 physicians from 67 primary care facilities in Hubei selected through random cluster sampling, tapping into their knowledge, attitudes and prescribing practices toward antibiotics. Prescriptions (n = 501,072) made by the participants from 1 January to March 31, 2018 were extracted from the medical records system. Seven indicators were calculated for each prescriber: average number of medicines per prescription, average number of antibiotics per prescription, percentage of prescriptions containing antibiotics, percentage of antibiotic prescriptions containing broad-spectrum antibiotics, percentage of antibiotic prescriptions containing parenteral administered antibiotics, percentage of antibiotic prescriptions containing restricted antibiotics, and percentage of antibiotic prescriptions containing antibiotics included in the WHO “Watch and Reserve” list. Two-level latent profile analyses were performed to identify the antibiotic prescribing patterns of physicians based on those indicators. Multi-nominal logistic regression models were established to identify determinants with the antibiotic prescribing patterns.Results: On average, each primary care physician issued 909 (ranging from 100 to 11,941 with a median of 474) prescriptions over the study period. The mean percentage of prescriptions containing antibiotics issued by the physicians reached 52.19% (SD = 17.20%). Of those antibiotic prescriptions, an average of 82.29% (SD = 15.83%) contained broad-spectrum antibiotics; 71.92% (SD = 21.42%) contained parenteral administered antibiotics; 23.52% (SD = 19.12%) contained antibiotics restricted by the regional government; and 67.74% (SD = 20.98%) contained antibiotics listed in the WHO “Watch and Reserve” list. About 28.49% of the prescribers were identified as low antibiotic users, compared with 51.18% medium users and 20.33% high users. Higher use of antibiotics was associated with insufficient knowledge, indifference to changes, complacency with satisfied patients, low household income and rural location of the prescribers.Conclusion: Great variation in antibiotic prescribing patterns exists among primary care physicians in Hubei of China. High use of antibiotics is not only associated with knowledge shortfalls but also low socioeconomic status of prescribers.

scholarly journals Identifying antibiotic prescribing patterns through multi-level latent profile analyses: a cross-sectional survey of primary care physicians in Hubei of China

2020 ◽  
Author(s):  
Dan Wang ◽  
Chaojie Liu ◽  
Xinping Zhang ◽  
Chenxi Liu
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Primary Care Physicians ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Prescribing Practices ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Latent Profile Analyses ◽  
Broad Spectrum Antibiotics

Abstract Background Overuse of antibiotics significantly fuels the development of AMR, which threating the global population health. Great variations existed in antibiotic prescribing practices among physicians, indicating improvement potential for rational use of antibiotics. This study aims to identify antibiotic prescribing patterns of primary care physicians and potential determinants. Methods A cross-sectional survey was conducted on 551 physicians from 67 primary care facilities in Hubei selected through random cluster sampling, tapping into their knowledge, attitudes and prescribing practices toward antibiotics. Prescriptions (n=501,072) made by the participants from 1 January to 31 March 2018 were extracted from the medical records system. Seven indicators were calculated for each prescriber: average number of medicines per prescription, average number of antibiotics per prescription, percentage of prescriptions containing antibiotics, percentage of antibiotic prescriptions containing broad-spectrum antibiotics, percentage of antibiotic prescriptions containing parenteral administered antibiotics, percentage of antibiotic prescriptions containing restricted antibiotics, and percentage of antibiotic prescriptions containing antibiotics included in the WHO “Watch and Reserve” list. Two-level latent profile analyses were performed to identify the antibiotic prescribing patterns of physicians based on those indicators. Multi-nominal logistic regression models were established to identify determinants with the antibiotic prescribing patterns. Results On average, each primary care physician issued 909 (ranging from 100 to 11941 with a median of 474) prescriptions over the study period. The mean percentage of prescriptions containing antibiotics issued by the physicians reached 52.19% (SD=17.20%). Of those antibiotic prescriptions, an average of 82.29% (SD=15.83%) contained broad-spectrum antibiotics; 71.92% (SD=21.42%) contained parenteral administered antibiotics; 23.52% (SD=19.12%) contained antibiotics restricted by the regional government; and 67.74% (SD=20.98%) contained antibiotics listed in the WHO “Watch and Reserve” list. About 28.49% of the prescribers were identified as low antibiotic users, compared with 51.18% medium users and 20.33% high users. Higher use of antibiotics was associated with insufficient knowledge, indifference to changes, complacency with satisfied patients, low household income and rural location of the prescribers. Conclusion Great variation in antibiotic prescribing patterns exists among primary care physicians in Hubei of China. High use of antibiotics is not only associated with knowledge shortfalls but also low socioeconomic status of prescribers.

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

2021 ◽  
Vol 9 ◽  
Author(s):  
Chaojie Liu ◽  
Dan Wang ◽  
Lixia Duan ◽  
Xinping Zhang ◽  
Chenxi Liu
Keyword(s):  
Primary Care ◽  
Broad Spectrum ◽  
Primary Care Physicians ◽  
Latent Class ◽  
Antibiotic Use ◽  
Antibiotic Prescribing ◽  
Behavioral Patterns ◽  
Diagnostic Uncertainty ◽  
Logistic Regression Models ◽  
Broad Spectrum Antibiotics

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.

Emergency Department Prescribing Patterns for Pharyngitis in Children

2020 ◽  
Vol 59 (11) ◽  
pp. 995-1003
Author(s):  
Shannon M. Flood ◽  
Neil M. Desai ◽  
Jan E. Leonard ◽  
Rakesh D. Mistry
Keyword(s):  
Emergency Department ◽  
Antibiotic Treatment ◽  
Broad Spectrum ◽  
Secondary Data ◽  
Prescribing Patterns ◽  
Antibiotic Prescribing ◽  
Broad Spectrum Antibiotics ◽  
Group A ◽  
Care Survey ◽  
Ambulatory Medical Care

Pharyngitis is commonly diagnosed in the emergency department (ED) and accounts for substantial antibiotic burden in pediatrics. This study describes ED patterns of group A streptococcal (GAS) pharyngitis diagnosis and antibiotic prescribing patterns. This was a secondary data analysis of the National Hospital Ambulatory Medical Care Survey. Diagnosis and antibiotic treatment for GAS and non-GAS (viral) pharyngitis were reported in all ages and specifically examined in children <3 years of age from 2010 to 2015. GAS pharyngitis was diagnosed in 29% of visits for children with pharyngitis; however, 60% of patients with any pharyngitis received antibiotics. Twenty percent of children <3 years were diagnosed with GAS pharyngitis, yet over half were given antibiotics. Broad-spectrum antibiotics were commonly prescribed. Antibiotic treatment of pharyngitis, including broad-spectrum antibiotics, remains high when compared with the known prevalence of GAS pharyngitis. Diagnosis and treatment of GAS pharyngitis in patients <3 years persists despite recommendations against testing.

scholarly journals Outpatient prescribing pattern for acute bronchitis in primary healthcare settings in China

2021 ◽  
Vol 31 (1) ◽  
Author(s):  
Mengyuan Fu ◽  
Haishaerjiang Wushouer ◽  
Lin Hu ◽  
Nan Li ◽  
Xiaodong Guan ◽  
...  
Keyword(s):  
Broad Spectrum ◽  
Primary Healthcare ◽  
Rural Areas ◽  
Compliance Rate ◽  
Inappropriate Prescribing ◽  
Acute Bronchitis ◽  
Prescribing Patterns ◽  
Prescribing Pattern ◽  
Targeted Interventions ◽  
Healthcare Settings

AbstractInappropriate prescribing for acute bronchitis in primary healthcare settings (PHSs) is commonly seen worldwide. Here we describe the prescribing patterns and antibiotic use for acute bronchitis in PHSs across China. We conduct a nationwide cross-sectional survey to collect outpatient prescriptions from PHSs in 2017. Patients diagnosed with acute bronchitis without other infections are eligible for this study. Generalized estimating equations are used for analysis. Overall, 10,678 prescriptions for acute bronchitis from 214 institutions are included. The antibiotic prescription rate is 44.5% for total prescriptions, and differs significantly by region and urban/rural status (p < 0.05). Among all single-antibiotic prescriptions, 91.5% are broad-spectrum. Two-thirds of the prescriptions contain medicines for symptom management. The overall guideline compliance rate of acute bronchitis treatment for adults is 31.0%. Prescribing antibiotics, especially broad-spectrum ones, for acute bronchitis is commonly observed in Chinese PHSs. Targeted interventions are urgently needed for Chinese primary clinicians, especially in western rural areas.

scholarly journals Trends in Antibiotic Prescribing in Out-of-Hours Primary Care in England from January 2016 to June 2020 to Understand Behaviours during the First Wave of COVID-19

Antibiotics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 32
Author(s):  
Nina J. Zhu ◽  
Monsey McLeod ◽  
Cliodna A. M. McNulty ◽  
Donna M. Lecky ◽  
Alison H. Holmes ◽  
...  
Keyword(s):  
Primary Care ◽  
Time Series ◽  
Patient Outcomes ◽  
Broad Spectrum ◽  
Antibiotic Prescribing ◽  
Broad Spectrum Antibiotic ◽  
Out Of Hours ◽  
Broad Spectrum Antibiotics ◽  
National Quality ◽  
General Practices

We describe the trend of antibiotic prescribing in out-of-hours (OOH) general practices (GP) before and during England’s first wave of the COVID-19 pandemic. We analysed practice-level prescribing records between January 2016 to June 2020 to report the trends for the total prescribing volume, prescribing of broad-spectrum antibiotics and key agents included in the national Quality Premium. We performed a time-series analysis to detect measurable changes in the prescribing volume associated with COVID-19. Before COVID-19, the total prescribing volume and the percentage of broad-spectrum antibiotics continued to decrease in-hours (IH). The prescribing of broad-spectrum antibiotics was higher in OOH (OOH: 10.1%, IH: 8.7%), but a consistent decrease in the trimethoprim-to-nitrofurantoin ratio was observed OOH. The OOH antibiotic prescribing volume diverged from the historical trend in March 2020 and started to decrease by 5088 items per month. Broad-spectrum antibiotic prescribing started to increase in OOH and IH. In OOH, co-amoxiclav and doxycycline peaked in March to May in 2020, which was out of sync with seasonality peaks (Winter) in previous years. While this increase might be explained by the implementation of the national guideline to use co-amoxiclav and doxycycline to manage pneumonia in the community during COVID-19, further investigation is required to see whether the observed reduction in OOH antibiotic prescribing persists and how this reduction might influence antimicrobial resistance and patient outcomes.

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

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