Trial reportPloS one2019
An integrated understanding of the complex drivers of emergency presentations and admissions in cancer patients: Qualitative modelling of secondary-care health professionals' experiences and views.
Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.
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
11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Understanding oncologic emergencies and related emergency department visits and hospitalizations: a systematic review.BMC emergency medicine · 2025Pooled it
- Factors influencing the implementation of early discharge hospital at home and admission avoidance hospital at home: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2024Pooled it
- Pooled it
- Socioeconomic differences in the intensity of end-of-life care among patients with cancer: a population-based study in the Lazio region, Italy.European journal of public health · 2026Observational
- Palliative care nursing roles in the acute inpatient setting: A scoping review.Palliative & supportive care · 2025Article
- Development and validation of a clinical prediction model for hospitalization after emergency department admission in patients with cancer.ESMO real world data and digital oncology · 2025Article
- Article
- Enhancing Trauma Care in Tertiary Hospitals: Addressing Gaps and Pathways to Improvement.Emergency medicine international · 2025Article
- Malnutrition, sarcopenia and cachexia: exploring prevalence, overlap, and perceptions in older adults with cancer.European journal of clinical nutrition · 2024Article
- Recognizing the emergency department's role in oncologic care: a review of the literature on unplanned acute care.Emergency cancer care · 2022Review
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The number of cancer-related emergency presentations and admissions has been steadily increasing in the UK. Drivers of this phenomenon are complex, multifactorial and interlinked. The main objective of this study was to understand the complexity of emergency hospital use in cancer patients. We conducted semi-structured interviews with 42 senior clinicians (20 doctors, 22 nurses) with diverse expertise and experience in caring for acutely ill cancer patients in the secondary care setting. Data analysis included thematic analysis and purposive text analysis to develop Causal Loop Diagrams. Our Causal Loop Diagrams represent an integrated understanding of the complex factors (13) influencing emergency hospital use in cancer patients. Eight factors formed five reinforcing feedback loops and therefore were high-leverage influences: Ability of patients and carers to self-care and cope; Effective and timely management of ambulatory care sensitive conditions by primary and community care; Sufficient and effective social care for patients and carers; Avoidable emergency hospital use; Bed capacity; Patients accessing timely appropriate specialist inpatient or ambulatory care; Prompt and effective management and prevention of acute episode; Timely and safe discharge with appropriate support. The loops show that reduction of avoidable hospital use helps relieve hospital bed pressure; improved bed capacity then has a decisive, positive influence on patient pathway and thus outcome and experience in the hospital; in turn, better in-hospital care and discharge help patients and carers self-care and cope better back home with better support from community-based health and social care services, which then reduces their future emergency hospital use. To optimise acute and emergency cancer care, it is also essential that patients, carers and other clinicians caring for cancer patients have prompt access to senior cancer specialists for advice, assessment, clinical decision and other support. The findings provide a useful framework and focus for service planners aiming to optimise care.
Indexed as
Identifiers
What 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.