ArticleJournal of hospital medicine2025
Diagnostic safety and quality optimization in sepsis study protocol.
Article in Journal of hospital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Diagnostic safety and quality optimization in sepsis study protocol.Journal of hospital medicine · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundSepsis ranks among the "Big Three" conditions most prone to harmful diagnostic errors. Despite its high prevalence and severity, health systems lack effective and contextually tailored strategies to optimize diagnostic accuracy for sepsis.
objectivesThe purpose of this study is to understand factors related to high sepsis diagnostic accuracy using principles and tools of safety and implementation science.
methodsThis is a multi-site study involving 20 hospitals across four states in the United States. The primary objectives are to (1) describe hospital-level variability and understand barriers and facilitators to sepsis diagnostic accuracy and (2) apply cross-case and coincidence analysis to determine minimally sufficient and necessary conditions for optimal sepsis diagnosis that minimizes under- and overtreatment. To identify barriers and facilitators of acute sepsis diagnosis, we will conduct electronic surveys and in-depth interviews with key informants from each hospital. We will use data from electronic health records (EHR) and data warehouses to operationalize sepsis diagnostic accuracy.
resultsWe have enrolled 20 hospitals and begum data collection. The findings of this study will be used to develop a context-specific toolkit that guides the selection of feasible and important strategies to promote optimal sepsis diagnosis in diverse hospitals settings.
conclusionsThe study uses tools and principles from safety and implementation science to generate first-of-its-kind evidence to improve diagnostic excellence in sepsis.
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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.