ArticleNursing open2023
Collaboration between nurses and doctors in the decision-making process when considering ending the life-prolonging treatment of intensive care patients.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed, 12 citations in OpenAlex.
- How nurses contribute to medical treatment decision-making with physicians: a scoping review.BMJ open · 2026Article
- 'More than Just a Personal Assistant': A Qualitative Study Examining the Lived Experiences of Anaesthetic Nurses in Australia.Nursing reports (Pavia, Italy) · 2026Article
- Nurses' Experience in Providing End-of-Life Care in Intensive Care Unit: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Moral Distress, Professional Burnout, and Potential Staff Turnover in Intensive Care Nursing Practice in Latvia-Phase 1.International journal of environmental research and public health · 2025Article
- Challenges and best practices for moving forward in interprofessional collaboration in critical care units: nurses' perspectives.BMC nursing · 2025Article
- Nurses' care coordination competence in mechanically ventilated patients in intensive care units: a cross-sectional study.BMC health services research · 2025Article
- The relationship between post-traumatic stress disorder and sleep quality in intensive care unit professionals.Nursing in critical care · 2025Article
- The life threat in hematopoietic allogeneic stem cell transplantation - an interview and focus group study on health care professionals' perspectives.Annals of hematology · 2024Article
- Unsafe doctor-nurse interactions in the process of implementing medical orders: A qualitative study.Nursing open · 2023Article
- Collaboration between nurses and doctors in the decision-making process when considering ending the life-prolonging treatment of intensive care patients.Nursing open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe aim of the study was to explore intensive care nurses' collaboration with doctors' when considering ending the life-prolonging treatment of patients in the intensive care unit.
designA qualitative method with an explorative descriptive design was employed.
methodsData were collected through semi-structured interviews with four intensive care nurses and four doctors working in three intensive care units at two university hospitals and one local hospital. The data were analysed using systematic text condensation. This study was reported according to the consolidated criteria for reporting qualitative research checklist.
resultsTwo categories were identified in the data analysis: listening to each other during the decision-making process and continuity and having time to facilitate regular discussions of prognosis and treatment plans.
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.