ArticleInternational journal of environmental research and public health2022
SBAR Method for Improving Well-Being in the Internal Medicine Unit: Quasi-Experimental Research.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 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
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluation of oral health-related quality of life following pulp therapy or extraction in paediatric patients: a systematic review.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026Pooled it
- The use of Introduction, Situation, Background, Assessment, and Recommendation handover in the COVID-19 pandemic and non-COVID clinical settings: a systematic review and meta-analysis.Frontiers in health services · 2025Pooled it
- Strengthening Patient-Safety in ERAS Pathways: An Evidence-Informed Framework for Simulation-Based Nursing Practice Development in Acute Surgical Care.Healthcare (Basel, Switzerland) · 2026Review
- Article
- Nursing students' readiness and training needs for interprofessional education: A cross-sectional study in South Korea.PloS one · 2026Article
- Shift-to-Shift Information Transfer: Phenomenological Study of Nurses' Experiences.JMIR nursing · 2025Article
- Investigating the impact of implementing structured patient handover through the SBAR model on clinical errors of nurses in the emergency department.Journal of education and health promotion · 2025Article
- Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
SBAR (Situation, Background, Assessment, Recommendation) is a tool for standardizing and improving interprofessional communication. This study aims to explore the impact of SBAR in healthcare professionals' wellbeing, through concepts such as job satisfaction, engagement, resilience, and job performance, in the internal medicine unit of a university hospital in the province of León (Spain). This is an observational, descriptive, longitudinal case study with a pre- and post-intervention approach. Questionnaires were distributed to a group of doctors, nurses, and healthcare assistants before and after the implementation of the SBAR tool in the ward. The use of SBAR was monitored to ensure staff compliance. Data statistical analysis was performed using the SPSS program. Resilience levels increased significantly post-intervention. Job satisfaction and engagement levels remained neutral, slightly decreasing post-intervention. Besides' being a useful tool to improve communication, SBAR was effective in improving resilience among staff. Several aspects related to hospital management may have had an impact on job satisfaction and engagement results.
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.