ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2007
Clinical decision support to improve antibiotic prescribing for acute respiratory infections: results of a pilot study.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
9 citing papers in PubMed.
- An electronic health record-based intervention to improve tobacco treatment in primary care: a cluster-randomized controlled trial.Archives of internal medicine · 2009Trial
- Ontologies Applied in Clinical Decision Support System Rules: Systematic Review.JMIR medical informatics · 2023Review
- eHealthResp, a Digital Intervention to Improve Antibiotic Prescribing in Respiratory Infections: A Pilot Study.Life (Basel, Switzerland) · 2022Article
- E-Health Tools to Improve Antibiotic Use and Resistances: A Systematic Review.Antibiotics (Basel, Switzerland) · 2020Review
- Examining Workflow in a Pediatric Emergency Department to Develop a Clinical Decision Support for an Antimicrobial Stewardship Program.Applied clinical informatics · 2018Article
- Comparison of two kinds of interface, based on guided navigation or usability principles, for improving the adoption of computerized decision support systems: application to the prescription of antibiotics.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- A call to action for antimicrobial stewardship in the emergency department: approaches and strategies.Annals of emergency medicine · 2013Review
- Clinician characteristics and use of novel electronic health record functionality in primary care.Journal of the American Medical Informatics Association : JAMIA · 2011Article
- "Smart Forms" in an Electronic Medical Record: documentation-based clinical decision support to improve disease management.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Acute Respiratory Infections (ARIs) are the number one reason for antibiotic prescribing in the United States, and much antibiotic prescribing for ARIs is inappropriate. We designed an electronic health record-integrated, documentation-based clinical decision support system for the care of patients with ARIs, the ARI Smart Form. To evaluate the ARI Smart Form and assess the feasibility of performing a larger trial, we conducted a pilot study with 10 clinicians who used the ARI Smart Form with 26 patients. Clinicians prescribed antibiotics to 6 of 6 patients with antibiotic-appropriate diagnoses and to 3 of 20 (15%) patients with antibiotic-inappropriate diagnoses. The average duration of use of the ARI Smart Form was 7.5 (SD+/-4.5) minutes. Eight of 10 respondents reported that the ARI Smart Form was either time-neutral or timesaving. The ARI Smart Form requires further evaluation but has the potential to improve workflow and reduce inappropriate antibiotic prescribing.
Indexed as
Identifiers
18693880PMC2655801What OpenQuestion holds
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.