ArticleBMC medicine2018
Guideline developers are not the only experts: Utilising the FRAM method in sepsis pathways.
Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
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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
2 citing papers in PubMed, 3 citations in OpenAlex.
- Using Functional Resonance Analysis Methodology to identify potential safety improvements in the process of administering medications by infusion in a veterinary hospital.Frontiers in veterinary science · 2026Article
- Development and application of 'systems thinking' principles for quality improvement.BMJ open quality · 2020Article
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1 author at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Improving clinical outcomes and quality of care in diseases such as sepsis, which are heterogeneous in their presenting signs and symptoms, is a challenge. One approach is to utilise the Functional Analysis Resonance Method (FRAM), which enables systems to examine process and sociocontextual issues in treatment and management pathways. McNab et al. applied FRAM to group of primary care (family) practices to understand the barriers and enablers in the management of sepsis and determined a suite of possible interventions that might improve patient care. This commentary reviews the FRAM process and highlights some core issues for systems to consider when tackling diseases like sepsis.Please see related article: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-018-1164-x.
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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.