ArticleBMJ open2020
Implementation of integrated operating rooms: how much time is saved and how do medical staff experience the upgrading? A mixed methods study in Denmark.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 3 citations in OpenAlex.
- From Intelligent Operating Room to Smart ICU: Digital Continuity, AI-Supported Decision-Making and CRRT as a Model of Pharmacokinetic Personalization in Critical Care.Healthcare (Basel, Switzerland) · 2026Review
- Electromagnetic Navigation Bronchoscopy Integrated Non-intubated Uniportal VATS in Localization and Resection of Pulmonary Nodules.Frontiers in surgery · 2022Article
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 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo evaluate staff experiences of the implementation and use of integrated operating rooms (IORs) in comparison to conventional operating rooms (CORs) in Denmark.
designThis study used a mixed methods approach by combining quantitative (registry-based analysis of surgical time) and qualitative (interviews with experienced surgical staff) perspectives.
settingHospitals in Denmark.
methodsThe quantitative component compared the time consumption of patients between the integrated and CORs in two hospital departments at Aarhus University Hospital. Data were extracted from the administrative system in the hospital. Independent t-tests were used to estimate the statistical differences in the mean time spent on patients between the two operating rooms (ORs), and linear regression was applied to adjust for the potential influence of the surgeon. The explorative qualitative research component involved interviews with 20 informants from 10 hospital departments across seven Danish hospitals, all of whom participated between February and April 2019. Data were analysed using thematic analysis.
resultsThe quantitative analyses showed that preparation time for lobectomy was significantly lower and completion time for cholecystectomy significantly higher in the integrated compared with CORs. No other statistically significant differences were found. The qualitative analysis showed that some nurses experienced better cooperation with the surgeon and that non-sterile nurses experienced an improved working environment in the integrated compared with CORs. Surgical staff experienced that the IORs led to improved workflow during surgery.
conclusionsThis study identified no disadvantages regarding the use of IORs compared with CORs. The quantitative component of the research did not identify convincing statistically significant differences in the time consumption per patient between the ORs and according to the qualitative analyses IORs were not experienced by study participants to lead to major improvements among staff.
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.