ArticleInfection control and hospital epidemiology2021
A healthcare worker and patient-informed approach to oral antibiotic decision making during the hospital-to-home transition.
Article in Infection control and hospital epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Development of the invasive candidiasis discharge [I Can discharge] model: a mixed methods analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022Article
- Why we prescribe antibiotics for too long in the hospital setting: a systematic scoping review.The Journal of antimicrobial chemotherapy · 2022Article
- Medications at discharge aren't just for the long haul: A model for the management of short-term medications.Journal of patient safety and risk management · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
In a qualitative study of healthcare workers and patients discharged on oral antibiotics, we identified 5 barriers to antibiotic decision making at hospital discharge: clinician perceptions of patient expectations, diagnostic uncertainty, attending physician-led versus multidisciplinary team culture, not accounting for total antibiotic duration, and need for discharge prior to complete data.
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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.