Dataset Information

Patients' and Clinicians' Perceptions of Antibiotic Prescribing for Upper Respiratory Infections in the Acute Care Setting.

ABSTRACT: Reducing inappropriate prescribing is key to mitigating antibiotic resistance, particularly in acute care settings. Clinicians' prescribing decisions are influenced by their judgments and actual or perceived patient expectations. Fuzzy trace theory predicts that patients and clinicians base such decisions on categorical gist representations that reflect the bottom-line understanding of information about antibiotics. However, due to clinicians' specialized training, the categorical gists driving clinicians' and patients' decisions might differ, which could result in mismatched expectations and inefficiencies in targeting interventions. We surveyed clinicians and patients from 2 large urban academic hospital emergency departments (EDs) and a sample of nonpatient subjects regarding their gist representations of antibiotic decisions, as well as relevant knowledge and expectations. Results were analyzed using exploratory factor analysis (EFA) and multifactor regression. In total, 149 clinicians (47% female; 74% white), 519 online subjects (45% female; 78% white), and 225 ED patients (61% female; 56% black) completed the survey. While clinicians demonstrated greater knowledge of antibiotics and concern about side effects than patients, the predominant categorical gist for both patients and clinicians was "why not take a risk," which compares the status quo of remaining sick to the possibility of benefit from antibiotics. This gist also predicted expectations and prior prescribing in the nonpatient sample. Other representations reflected the gist that "germs are germs" conflating bacteria and viruses, as well as perceptions of side effects and efficacy. Although individually rational, reliance on the "why not take a risk" representation can lead to socially suboptimal results, including antibiotic resistance and individual patient harm due to adverse events. Changing this representation could alter clinicians' and patients' expectations, suggesting opportunities to reduce overprescribing.

SUBMITTER: Broniatowski DA

PROVIDER: S-EPMC6274591 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Patients' and Clinicians' Perceptions of Antibiotic Prescribing for Upper Respiratory Infections in the Acute Care Setting.

Broniatowski David A DA Klein Eili Y EY May Larissa L Martinez Elena M EM Ware Chelsea C Reyna Valerie F VF

Medical decision making : an international journal of the Society for Medical Decision Making 20180701 5

Reducing inappropriate prescribing is key to mitigating antibiotic resistance, particularly in acute care settings. Clinicians' prescribing decisions are influenced by their judgments and actual or perceived patient expectations. Fuzzy trace theory predicts that patients and clinicians base such decisions on categorical gist representations that reflect the bottom-line understanding of information about antibiotics. However, due to clinicians' specialized training, the categorical gists driving ...[more]

PMID: 29847253

Similar Datasets

Project description:Importance:Acute respiratory infections (ARIs) are the syndrome for which antibiotics are most commonly prescribed; viruses for which antibiotics are ineffective cause most ARIs. Objectives:To characterize antibiotic prescribing among outpatients with ARI during influenza season and to identify targets for reducing inappropriate antibiotic prescribing for common ARI diagnoses, including among outpatients with laboratory-confirmed influenza. Design, Setting, and Participants:Cohort study enrolling outpatients aged 6 months or older with ARI evaluated at outpatient clinics associated with 5 US Influenza Vaccine Effectiveness Network sites during the 2013-2014 and 2014-2015 influenza seasons. All patients received influenza testing by real-time reverse transcriptase-polymerase chain reaction for research purposes only. Antibiotic prescriptions, medical history, and International Classification of Diseases, Ninth Revision diagnosis codes were collected from medical and pharmacy records, as were group A streptococcal (GAS) testing results in a patient subset. Exposure:Visit for ARI, defined by a new cough of 7 days' duration or less. Main Outcomes and Measures:Antibiotic prescription within 7 days of enrollment. Appropriateness of antibiotic prescribing was based on diagnosis codes, clinical information, and influenza and GAS testing results. Results:Of 14?987 patients with ARI (mean [SD] age, 32 [24] years; 8638 [58%] women; 11?892 [80%] white), 6136 (41%) were prescribed an antibiotic. Among these 6136 patients, 2522 (41%) had diagnoses for which antibiotics are not indicated; 2106 (84%) of these patients were diagnosed as having a viral upper respiratory tract infection or bronchitis (acute or not otherwise specified). Among the 3306 patients (22%) not diagnosed as having pneumonia and who had laboratory-confirmed influenza, 945 (29%) were prescribed an antibiotic, accounting for 17% of all antibiotic prescriptions among patients with nonpneumonia ARI. Among 1248 patients with pharyngitis, 1137 (91%) had GAS testing; 440 of the 1248 patients (35%) were prescribed antibiotics, among whom 168 (38%) had negative results on GAS testing. Of 1200 patients with sinusitis and no other indication for antibiotic treatment who received an antibiotic, 454 (38%) had symptoms for 3 days or less prior to the outpatient visit, suggesting acute viral sinusitis not requiring antibiotics. Conclusions and Relevance:Antibiotic overuse remains widespread in the treatment of outpatient ARIs, including among patients with laboratory-confirmed influenza, although study sites may not be representative of other outpatient settings. Identified targets for improved outpatient antibiotic stewardship include eliminating antibiotic treatment of viral upper respiratory tract infections and bronchitis and improving adherence to prescribing guidelines for pharyngitis and sinusitis. Increased access to sensitive and timely virus diagnostic tests, particularly for influenza, may reduce unnecessary antibiotic use for these syndromes.

Project description:BackgroundAcute respiratory infections are the most common symptomatic reason for seeking care among patients in the US, and account for the majority of all antibiotic prescribing, yet a large fraction of antibiotic prescriptions are inappropriate.ObjectiveWe sought to identify the underlying factors driving variation in antibiotic prescribing across clinicians and settings.Design, participantsUsing electronic health data for adult ambulatory visits for acute respiratory infections to a retail clinic chain and primary care practices from an integrated healthcare system, we identified a random sample of clinicians for survey.Main measuresWe evaluated independent predictors of overall prescribing and imperfect antibiotic prescribing, controlling for clinician and site of care. We defined imperfect antibiotic prescribing as prescribing for non-antibiotic-appropriate diagnoses, failure to prescribe for an antibiotic-appropriate diagnosis, or prescribing a non-guideline-concordant antibiotic.Key resultsResponse rates were 34 % for retail clinics and 24 % for physicians' offices (N?=?187). Clinicians in physicians' offices prescribed antibiotics less often than those in retail clinics (53 % versus 67 %; p?<?0.01), but had a higher imperfect antibiotic prescribing rate (65 % versus 31 %; p?<?0.01). Feeling rushed was associated with higher antibiotic prescribing (OR 1.34; 95 % CI 1.03, 1.75). Antibiotic prescribing was also associated with clinician disagreement that antibiotics are overused (OR 1.60, 95 % CI, 1.16, 2.20). Imperfect antibiotic prescribing was associated with receiving antibiotic prescribing feedback (OR 1.35, 95 % CI 1.04, 1.75) and disagreement that patient demand was a problem (OR 1.66, 95 % CI 1.00, 2.73). Imperfect antibiotic prescribing was less common with clinicians who perceived that they prescribed antibiotics less often than their peers (OR 0.63, 95 % CI 0.46, 0.87).ConclusionsPoor-quality antibiotic prescribing was associated with feeling rushed, believing less strongly that antibiotics were overused, and believing that patient demand was not an issue, factors that can be assessed and addressed in future interventions.

Dataset Information

Patients' and Clinicians' Perceptions of Antibiotic Prescribing for Upper Respiratory Infections in the Acute Care Setting.

Publications

Patients' and Clinicians' Perceptions of Antibiotic Prescribing for Upper Respiratory Infections in the Acute Care Setting.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets