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Antimicrobial prescription practices for outpatients with acute respiratory tract infections: A retrospective, multicenter, medical record-based study

ABSTRACT: Antimicrobial stewardship for outpatients with acute respiratory tract infections (ARTIs) should be urgently promoted in this era of antimicrobial resistance. Previous large-sample studies were based on administrative data and had limited reliability. We aimed to identify current antimicrobial prescription practices for ARTIs by directly basing on medical records. This multicenter retrospective study was performed from January to December in 2018, at five medical institutes in Japan. We targeted outpatients aged ≥18 years whose medical records revealed International Classification of Diseases (ICD-10) codes suggesting ARTIs. We divided the eligible cases into three age groups (18–64 years, 65–74 years, and ≥75 years). We defined broad-spectrum antimicrobials as third-generation cephalosporins, macrolides, fluoroquinolones, and faropenem. Primary and secondary outcomes were defined as the proportion of antimicrobial prescriptions for the common cold and other respiratory tract infections, respectively. Totally, data of 3,940 patients were collected. Of 2,914 patients with the common cold, 369 (12.7%) were prescribed antimicrobials. Overall, compared to patients aged ≥75 years (8.5%), those aged 18–64 years (16.6%) and those aged 65–74 years (12.1%) were frequently prescribed antimicrobials for the common cold (odds ratio [95% confidential interval]; 2.15 [1.64–2.82] and 1.49 [1.06–2.09], respectively). However, when limited to cases with a valid diagnosis of the common cold by incorporating clinical data, no statistical difference was observed among the age groups. Broad-spectrum antimicrobials accounted for 90.2% of the antimicrobials used for the common cold. Of 1,026 patients with other respiratory infections, 1,018 (99.2%) were bronchitis, of which antimicrobials were prescribed in 49.9% of the cases. Broad-spectrum antimicrobials were the main agents prescribed, accounting for nearly 90% of prescriptions in all age groups. Our data suggested a favorable practice of antimicrobial prescription for outpatients with ARTIs in terms of prescribing proportions, or quantitative aspect. However, the prescriptions were biased towards broad-spectrum antimicrobials, highlighting the need for further antimicrobial stewardship in the outpatient setting from a qualitative perspective.

SUBMITTER: Ishida T

PROVIDER: S-EPMC8589193 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Lower respiratory tract infections (LRTIs) are a major cause of morbidity and death. Because of changes in how LRTIs are defined coupled with the increasing prevalence of drug resistance, there is a gap in knowledge regarding the current burden of antimicrobial use for Centers for Disease Control and Prevention (CDC)-defined LRTIs. We describe the infection characteristics, antibiotic consumption, and clinical and economic outcomes of patients with Gram-negative (GN) LRTIs treated in intensive care units (ICUs).This was a retrospective, observational, cross-sectional study of adult patients treated in ICUs at two large academic medical centers in metropolitan Detroit, Michigan, from October 2013 to October 2015. To meet the inclusion criteria, patients must have had CDC-defined LRTI caused by a GN pathogen during ICU stay. Microbiological assessment of available Pseudomonas aeruginosa isolates included minimum inhibitory concentrations for key antimicrobial agents.Four hundred and seventy-two patients, primarily from the community (346, 73.3%), were treated in medical ICUs (272, 57.6%). Clinically defined pneumonia was common (264, 55.9%). Six hundred and nineteen GN organisms were identified from index respiratory cultures: P. aeruginosa was common (224, 36.2%), with 21.6% of these isolates being multidrug resistant. Cefepime (213, 45.1%) and piperacillin/tazobactam (174, 36.8%) were the most frequent empiric GN therapies. Empiric GN therapy was inappropriate in 44.6% of cases. Lack of in vitro susceptibility (80.1%) was the most common reason for inappropriateness. Patients with inappropriate empiric GN therapy had longer overall stay, which translated to a median total cost of care of $79,800 (interquartile range $48,775 to $129,600) versus $68,000 (interquartile range $38,400 to $116,175), p = 0.013. Clinical failure (31.5% vs 30.0%, p = 0.912) and in-hospital all-cause mortality (26.4% vs 25.9%, p = 0.814) were not different.Drug-resistant pathogens were frequently found and empiric GN therapy was inappropriate in nearly 50% of cases. Inappropriate therapy led to increased lengths of stay and was associated with higher costs of care.

Project description:BACKGROUND:Antibiotic use is a major driver of antibiotic resistance. Although delayed antibiotic prescription is a recommended strategy to reduce antibiotic use, practices vary; it appears less commonly used in southern European countries where antibiotic consumption is highest. Despite these variations, few qualitative studies have explored general practitioners' perceptions of delayed antibiotic prescription. We therefore aimed to explore and describe the perceptions of delayed antibiotic prescription for respiratory tract infections among general practitioners in Malta. METHODS:This qualitative phenomenographic study was conducted in Malta. A semi-structured interview guide was developed in English, pilot tested and revised accordingly. Interview topics included views on antibiotic resistance, antibiotic use and delayed antibiotic prescription for respiratory tract infections, and barriers and facilitators to antibiotic prescription. Individual, face-to-face interviews were held in 2014 with a quota sample of 20 general practitioners and transcribed verbatim. Data were subsequently analysed using a phenomenographic approach. FINDINGS:General practitioners perceived delayed antibiotic prescription in five qualitatively different ways: (A) "The Service Provider"-maintaining a good general practitioner-patient relationship to retain patients and avoid doctor-shopping, (B) "The Uncertainty Avoider"-reaching a compromise and providing treatment just in case, (C) "The Comforter"-providing the patient comfort and reassurance, (D) "The Conscientious Practitioner"-empowering and educating patients, and limiting antibiotic use, and (E) "The Holder of Professional Power"-retaining general practitioner responsibility by employing a wait-and-see approach. Although general practitioners were largely positive towards delayed antibiotic prescription, not all supported the strategy; some preferred a wait-and-see approach with follow-up. Many delayed antibiotic prescription users selectively practiced delayed prescription with patients they trusted or who they believed had a certain level of knowledge and understanding. They also preferred a patient-led approach with a one to three day delay; post-dating delayed antibiotic prescriptions was uncommon. CONCLUSIONS:In this study we have shown that general practitioners hold varying perceptions about delayed antibiotic prescription and that there is variation in the way delayed antibiotic prescription is employed in Malta. Whilst delayed antibiotic prescription is utilised in Malta, not all general practitioners support the strategy, and motivations and practices differ. In high consumption settings, formal and standardised implementation of delayed antibiotic prescription could help curb antibiotic overuse. Diagnosis-specific delayed antibiotic prescription recommendations should also be incorporated into guidelines. Finally, further investigation into patients' and pharmacists' views on delayed antibiotic prescription is required. TRIAL REGISTRATION NUMBER:NCT03218930.

Project description:Background and objective: The noncompliance of treatment guidelines by healthcare professionals, along with physiological variations, makes the pediatric population more prone to antibiotic prescribing errors. The present study aims to evaluate the prescribing practices and errors of the most frequently prescribed antibiotics among pediatric patients suffering from acute respiratory tract infections who had different lengths of stay (LOS) in public hospitals. Methods: A retrospective, cross-sectional study was conducted in five tertiary-care public hospitals of Lahore, Pakistan, between 1 January 2017 and 30 June 2017. The study population consisted of pediatric inpatients aged 0 to 9 years. Results: Among the 11,892 pediatric inpatients, 82.8% were suffering from lower acute respiratory tract infections and had long LOS (53.1%) in hospital. Penicillins (52.4%), cephalosporins (16.8%), and macrolides (8.9%) were the most frequently prescribed antibiotics. Overall, 40.8% of the cases had antibiotic prescribing errors related to wrong dose (19.9%), wrong frequency (18.9%), and duplicate therapy (18.1%). Most of these errors were found in the records of patients who had long LOS in hospital (53.1%). Logistic regression analysis revealed that the odds of prescribing errors were lower in female patients (OR = 0.6, 95% CI = 0.1?0.9, p-value = 0.012). Patients who were prescribed with ?3 antibiotics per prescription (OR = 1.724, 95% CI = 1.1?2.1, p-value = 0.020), had long LOS (OR = 12.5, 95% CI = 10.1?17.6, p-value < 0.001), and were suffering from upper respiratory tract infections (URTI) (OR = 2.8, 95% CI = 1.7?3.9, p-value < 0.001) were more likely to experience prescribing errors. Conclusion: Antibiotics were commonly prescribed to patients who had long LOS. Prescribing errors (wrong dose, wrong frequency, and duplicate therapy) were commonly found in cases of lower respiratory tract infections (LRTIs), especially among those who had prolonged stay in hospital.

Project description:BackgroundThe electronic medical record (EMR) contains a rich source of information that could be harnessed for epidemic surveillance. We asked if structured EMR data could be coupled with computerized processing of free-text clinical entries to enhance detection of acute respiratory infections (ARI).MethodologyA manual review of EMR records related to 15,377 outpatient visits uncovered 280 reference cases of ARI. We used logistic regression with backward elimination to determine which among candidate structured EMR parameters (diagnostic codes, vital signs and orders for tests, imaging and medications) contributed to the detection of those reference cases. We also developed a computerized free-text search to identify clinical notes documenting at least two non-negated ARI symptoms. We then used heuristics to build case-detection algorithms that best combined the retained structured EMR parameters with the results of the text analysis.Principal findingsAn adjusted grouping of diagnostic codes identified reference ARI patients with a sensitivity of 79%, a specificity of 96% and a positive predictive value (PPV) of 32%. Of the 21 additional structured clinical parameters considered, two contributed significantly to ARI detection: new prescriptions for cough remedies and elevations in body temperature to at least 38°C. Together with the diagnostic codes, these parameters increased detection sensitivity to 87%, but specificity and PPV declined to 95% and 25%, respectively. Adding text analysis increased sensitivity to 99%, but PPV dropped further to 14%. Algorithms that required satisfying both a query of structured EMR parameters as well as text analysis disclosed PPVs of 52-68% and retained sensitivities of 69-73%.ConclusionStructured EMR parameters and free-text analyses can be combined into algorithms that can detect ARI cases with new levels of sensitivity or precision. These results highlight potential paths by which repurposed EMR information could facilitate the discovery of epidemics before they cause mass casualties.

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Antimicrobial prescription practices for outpatients with acute respiratory tract infections: A retrospective, multicenter, medical record-based study

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