Quel est l'impact des complications sur le séjour ?
Les complications peuvent prolonger le séjour hospitalier et augmenter les coûts de soins.
Séjour hospitalierCoûts de soins
Facteurs de risque
5
#1
Quels facteurs de risque influencent l'hospitalisation ?
Des facteurs comme l'âge, les comorbidités et le mode de vie augmentent le risque.
ComorbiditésMode de vie
#2
Comment les antécédents médicaux affectent-ils le séjour ?
Les antécédents médicaux peuvent influencer le traitement et le risque de complications.
Antécédents médicauxRisque de complications
#3
Quel rôle joue l'environnement dans le risque d'infection ?
Un environnement non stérile augmente le risque d'infections nosocomiales.
Environnement hospitalierInfections nosocomiales
#4
Comment le stress affecte-t-il la santé en chambre ?
Le stress peut aggraver les symptômes et retarder la guérison des patients.
StressGuérison
#5
Quels comportements augmentent le risque de complications ?
Des comportements comme le tabagisme et la sédentarité augmentent le risque de complications.
TabagismeSédentarité
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Department of Anesthesiology and Perioperative Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Department of Anesthesiology, University of Colorado, Anschutz School of Medicine, Aurora, Colorado.
Departments of Anesthesiology, Orthopaedics and Rehabilitation, and Surgery, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Healthcare associated infections (HAIs) are costly but preventable. A limited understanding of the effects of environmental cleaning on the riskiest HAI associated pathogens is a current challenge in ...
The implementation of isolation precautions for patients with suspected Coronavirus Disease 2019 (COVID-19) and pending test results is resource intensive. Due to the limited availability of single-be...
Healthcare-associated infections pose a significant public health burden, leading to morbidity, mortality, prolonged hospital stays, and substantial social and economic costs. Immunocompromised patien...
This prospective study conducted at Mohammed VI University Hospital of Oujda aimed to assess the microbial ecology of surfaces and air in an immunosuppressed patient room compared to a double hospital...
Microbiological air purity tests were conducted employing both the sedimentation method and the collision method with the assistance of Microflow Alpha. The sedimentation method used Mueller Hinton wi...
The results revealed a decreased bacterial count within the protective isolation room, in contrast to the standard hospital room. We noted the predominance of coagulase-negative Staphylococcus spp and...
The protective isolation room demonstrated effective control of microbial contamination, with fewer and less resistant germs. The study highlighted the significance of air treatment systems in prevent...
The hospital's physical environment can impact health and well-being. Patients spend most of their time in their hospital rooms. However, little experimental evidence supports specific physical design...
Adults within 3 years of stroke who had spent >2 nights in hospital for stroke and were able to consent were included (Melbourne, Australia). Using a factorial design, we immersed participants in 16 d...
Forty-four adults (median age, 67 [interquartile range, 57.3-73.8] years, 61.4% male, and a third with stroke in the prior 3-6 months) completed the study in 2019-2020. We recorded and analyzed 701 ob...
Immediate affective responses can be influenced by exposure to physical design variables other than room occupancy alone. Virtual reality testing of how the physical environment influences patient res...
URL: https://anzctr.org.au; Unique identifier: ACTRN12620000375954....
There is an ongoing controversy regarding whether single-occupancy rooms are superior to multiple-occupancy rooms in terms of infection prevention. We investigated whether treatment in a multiple-occu...
In this retrospective cohort study, every hospitalization period of adult patients aged ≥ 18 years at a tertiary hospital in Korea from January 1, 2022, to December 31, 2022, was analyzed. If COVID-19...
In total, 25,143 hospitalizations per room type were analyzed. The incidence rate of nosocomial COVID-19 increased according to the number of patients per room; it ranged from 3.05 to 38.64 cases per ...
We demonstrated that the incidence of nosocomial COVID-19 increased according to the number of patients per room. To reduce nosocomial infections by respiratory viruses, the use of multiple-occupancy ...
Traditionally, wards in acute care hospitals consist predominately of multioccupancy bays with some single rooms. There is an increasing global trend towards a higher proportion of single rooms in hos...
This study will assess the impact of a newly designed 28-bedded ward environment, with 20 single rooms and two four-bedded bays, on patient and staff experiences and outcomes in an acute NHS Trust in ...
Ethical approval was obtained from the UK Health Research Authority (IRAS ID: 334395). Study findings will be shared with key stakeholders, published in peer-reviewed high-impact journals and presente...
The aim of this project was to improve compliance with evidence-based criteria regarding risk of delirium and the assessment of delirium among older patients in the general hospitalization wards and t...
More than 50% of older hospitalized patients experience delirium. Some studies have highlighted the need to implement an orientation protocol in the emergency department and to continue this in the ge...
The project followed the JBI evidence implementation framework. We conducted a baseline audit, a half-way audit, and final audit of 50 patients at risk of delirium admitted to the emergency department...
In the final audit, three of the eight criteria achieved more than 50% compliance in the general wards: pressure injury screening (96%); monitoring changes (74%); and performing interventions (76%). I...
Through the implementation of this project, validated and evidence-based evaluation will ensure that nurses are supported through appropriate measures to reduce patient confusion and aggression result...
Gabaldi et al. utilized telemedicine data, web search trends, hospitalized patient characteristics, and resource usage data to estimate bed occupancy during the COVID-19 pandemic. The results showcase...
To develop and validate predictive models to estimate the number of COVID-19 patients hospitalized in the intensive care units and general wards of a private not-for-profit hospital in São Paulo, Braz...
Two main models were developed. The first model calculated hospital occupation as the difference between predicted COVID-19 patient admissions, transfers between departments, and discharges, estimatin...
The first model predicted the number of hospitalized patients by department within an interval of up to 14 days. The second model estimated the total number of hospitalized patients for the following ...
The model based on telemedicine use was the most accurate in the current analysis and was used to estimate COVID-19 hospital occupancy 8 days in advance, validating predictions of this nature in simil...
Developed models to forecast bed occupancy for up to 14 days and monitored errors for 365 days....
Telemedicine calls from COVID-19 patients correlated with the number of patients hospitalized in the next 8 days....
Monitoring of vital signs at the general ward with continuous assessments aided by artificial intelligence (AI) is increasingly being explored in the clinical setting. This review aims to describe cur...
CVSM identifies significantly more vital sign deviations than manual intermittent monitoring. This results in high alert generation without AI-evaluation, both in patients with and without complicatio...
The current evidence for AI-aided CSVM suggest a significant role for the technology in reducing the constant 10-30% in-hospital risk of severe postoperative complications. However, large, randomized ...
Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest ...
This prospective, multicenter cohort study was conducted at four teaching hospitals in South Korea. All adult patients admitted to general wards during the 3-month study period were included. The prim...
Among 55,083 patients, the incidence rates of IHCA and UIT were 0.90 and 6.44 per 1,000 admissions, respectively. In terms of the composite outcome, the AUROC for the DeepCARS™ was superior to those f...
The DeepCARS™ predicts IHCA and UIT more accurately and efficiently than conventional methods. Thus, the DeepCARS™ may be an effective screening tool for detecting clinical deterioration in real-world...
