ArticleHealth services research2019
Admission to intensive care: A qualitative study of triage and its determinants.
Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Quality of life in elderly ICU survivors before the COVID-19 pandemic: a systematic review and meta-analysis of cohort studies.BMJ open · 2021Pooled it
- Priority setting in critical care: a multicriteria approach to ranking access to Intensive Care Unit beds.BMC health services research · 2025Article
- An Explanatory Mixed-Methods Study of Intensive Care Unit Net Benefit: Triage and Trajectory for Sepsis and Acute Respiratory Failure.Annals of the American Thoracic Society · 2025Article
- Triage of Critically Ill Patients: Characteristics and Outcomes of Patients Refused as Too Well for Intensive Care.Journal of clinical medicine · 2023Article
- Hospital factors that influence ICU admission decision-making: a qualitative study of eight hospitals.Intensive care medicine · 2023Article
- Characterizing Equity of Intensive Care Unit Admissions for Sepsis and Acute Respiratory Failure.Annals of the American Thoracic Society · 2022Article
- Physicians' Views and Agreement about Patient- and Context-Related Factors Influencing ICU Admission Decisions: A Prospective Study.Journal of clinical medicine · 2021Article
- Article
- Among equity and dignity: an argument-based review of European ethical guidelines under COVID-19.BMC medical ethics · 2021Review
- Physicians' Acceptance of Triage Guidelines in the Context of the COVID-19 Pandemic: A Qualitative Study.Frontiers in public health · 2021Article
- Admission to intensive care: A qualitative study of triage and its determinants.Health services research · 2019Article
- ICU physicians' and internists' survival predictions for patients evaluated for admission to the intensive care unit.Annals of intensive care · 2018Article
- Internists' and intensivists' roles in intensive care admission decisions: a qualitative study.BMC health services research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveTo examine physicians' decision making and its determinants about admission to intensive care. DATA SOURCES/STUDY
settingICU physicians (n = 12) and internists (n = 12) working in a Swiss tertiary care hospital. STUDY
designWe conducted in-depth interviews. DATA COLLECTION/EXTRACTION
methodsInterviews were analyzed using an inductive thematic approach. PRINCIPAL
findingsAdmission decisions regarding seriously ill or elderly patients with comorbidities are complex. Nonmedical factors such as ICU beds availability, health care resources on the ward, information about patient preferences, and family behavior determine the decision. Code status and the quality of interaction between physicians are key determinants. The absence of code status or poor documentation of code status discussions makes decisions more difficult and laden emotionally, as physicians feel they are making a life-death decision. Mutual respect and collaborative decision making facilitate the decision. Tensions arise due to ICU physicians' postponing the decision because of lack of beds, ICU physicians' dismissive attitudes, perceived shortcomings in the other physician's completion of expected tasks, and preconceptions about the other physician.
conclusionsSystematic documentation of code status, and fostering collaboration between ICU physicians and internists would facilitate ICU admission decisions in complex clinical situations.
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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.