ReviewJAC-antimicrobial resistance2020
Cognitive bias: how understanding its impact on antibiotic prescribing decisions can help advance antimicrobial stewardship.
Review in JAC-antimicrobial resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Interventions to Reduce Antibiotic Prescribing in Small Animal Veterinary Practice: Evidence and Clinical Impact.Antibiotics (Basel, Switzerland) · 2026Review
- Antibiotic overuse in children with viral infections: lessons from the SARS-CoV-2 pandemic.BMJ paediatrics open · 2026Article
- Efficacy of microbial cell-free DNA testing for detecting pathogens in pediatric patients with head and neck infections-An initial study.Pediatric investigation · 2025Article
- A Behavioral Analysis of Factors That Influence Antibiotic Prescribing in Hospitals: A Metasynthesis of Reviews.Open forum infectious diseases · 2025Review
- Enhancing therapeutic reasoning: key insights and recommendations for education in prescribing.BMC medical education · 2024Review
- Antimicrobial Stewardship in Pediatric Emergency Medicine: A Narrative Exploration of Antibiotic Overprescribing, Stewardship Interventions, and Performance Metrics.Children (Basel, Switzerland) · 2024Review
- Development and validation of an antimicrobial stewardship clinical decision-support tool to improve the management of urinary tract infections versus asymptomatic bacteriuria in hospitalized patients.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2024Article
- Uncovering doctors' perceived barriers and facilitators of antibiotic prescribing behaviours: a qualitative study using the theoretical domains framework.Acta bio-medica : Atenei Parmensis · 2023Article
- Effect of an electronic medical record nudge to improve quality improvement program tracking of neuraxial catheter replacements in obstetric patients.BMJ open quality · 2023Article
- A scoping review and behavioural analysis of factors underlying overuse of antimicrobials.JAC-antimicrobial resistance · 2023Article
- Antimicrobial resistance and antimicrobial stewardship in South Africa: a survey of healthcare workers in academic and nonacademic hospitals.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Article
- Analysis of seasonal variation of antibiotic prescribing for respiratory tract diagnoses in primary care practices.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Article
- Implementing behavior change in healthcare epidemiology and antimicrobial stewardship: The worst that can happen is you fail.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Article
- Plethora of Antibiotics Usage and Evaluation of Carbapenem Prescribing Pattern in Intensive Care Units: A Single-Center Experience of Malaysian Academic Hospital.Antibiotics (Basel, Switzerland) · 2022Article
- Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Group BAntimicrobial stewardship & healthcare epidemiology : ASHE · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The way clinicians think about decision-making is evolving. Human decision-making shifts between two modes of thinking, either fast/intuitive (Type 1) or slow/deliberate (Type 2). In the healthcare setting where thousands of decisions are made daily, Type 1 thinking can reduce cognitive load and help ensure decision making is efficient and timely, but it can come at the expense of accuracy, leading to systematic errors, also called cognitive biases. This review provides an introduction to cognitive bias and provides explanation through patient vignettes of how cognitive biases contribute to suboptimal antibiotic prescribing. We describe common cognitive biases in antibiotic prescribing both from the clinician and the patient perspective, including hyperbolic discounting (the tendency to favour small immediate benefits over larger more distant benefits) and commission bias (the tendency towards action over inaction). Management of cognitive bias includes encouraging more mindful decision making (e.g., time-outs, checklists), improving awareness of one's own biases (i.e., meta-cognition), and designing an environment that facilitates safe and accurate decision making (e.g., decision support tools, nudges). A basic understanding of cognitive biases can help explain why certain stewardship interventions are more effective than others and may inspire more creative strategies to ensure antibiotics are used more safely and more effectively in our patients.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.