ArticleEClinicalMedicine2023
The impact of frailty and geriatric syndromes on metrics of acute care performance: results of a national day of care survey.
Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- Delirium in older adults in the emergency department: a scoping review of current research and identified knowledge gaps.BMC emergency medicine · 2026Article
- Performance against quality indicators in the initial assessment of patients with respiratory infections in acute medicine services.BMJ open respiratory research · 2025Article
- The Implementation of Frailty Assessment Tools in the Acute Care Setting: A Scoping Review.Journal of the American Geriatrics Society · 2025Article
- Provision of medical same day emergency care services within the UK: analysis from the Society for Acute Medicine Benchmarking Audit.BMJ open · 2025Article
- Acute frailty services: results of a national day of care survey.BMC geriatrics · 2024Article
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
Background: Frailty is associated with a range of adverse clinical outcomes in the acute hospital setting. We sought to determine whether frailty and related factors affected clinical processes such as time to assessment during emergency hospital admission within the National Health Service (NHS) in the UK. Methods: The Society for Acute Medicine Benchmarking Audit (SAMBA) is an annual cross-sectional day of care survey. SAMBA 2022 was conducted on Thursday 23rd June 2022. We assessed whether the Clinical Frailty Scale (CFS) and presence of a geriatric syndrome affected performance against nationally recognised clinical quality indicators based on time to initial assessment and time to consultant review. CFS was graded into robust (CFS1-3), mild (CFS 4-5), moderate (CFS 6), severe (CFS7-8) and terminal illness (CFS 9). Plausible values were created for missing variables using multi-level multiple imputation. The association was described using mixed effect generalised linear models adjusting for initial National Early Warning Score 2 (NEWS2) and time of arrival. Findings: A total of 152 hospitals provided patient level data relating to 7248 emergency medical admissions. Patients with mild, moderate and severe frailty were less likely to be assessed within 4 h of arrival (adjusted OR, mild 0.79, 95% CI 0.68-0.96, moderate 0.67 95% CI 0.53-0.84, severe, 0.75 95% CI 0.58-0.96, terminally ill 0.59 95% CI 0.23-1.43) and less likely to be achieve the clinical quality indicator for consultant review (adjusted OR, mild 0.69 95% CI 0.58-0.83, moderate 0.55 95% CI 0.44-0.70, severe 0.54 95% CI 0.41-0.69, terminally ill 0.76 95% CI 0.42-1.5). Patients with geriatric syndromes were also less likely to be assessed within 4 h of arrival (adjusted OR 0.66 95% CI 0.56-0.76) or by a consultant within the recommended time frame (adjusted OR 0.45 95% CI 0.39-0.51). The difference was partially explained by differential use of SDEC pathways. Sub-group analysis of 5148 patients assessed outside of SDEC areas demonstrated patients with geriatric syndromes (adjusted OR 0.71, 95% CI 0.60-0.83), but not frailty defined by CFS were less likely to be assessed within 4 h of arrival. Moderate and severe frailty and the presence of a geriatric syndrome were associated with a decreased likelihood of achieving the consultant review standard (moderate, adjusted OR 0.75, 95% CI 0.59-0.94, severe adjusted OR 0.75 95% CI 0.58-0.96, geriatric syndrome adjusted OR 0.59, 95% CI 0.50-0.69). Interpretation: Frailty is associated with delayed clinical assessment. This association may suggest a systemic issue with clinical prioritisation, with important implications for acute care policy. Funding: The database for SAMBA is funded by the Society for Acute Medicine.
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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.