Knowledge and Contribution of Nurses in the Prevention of Bedsore Decubitus in the Surgical Ward

2019 ◽  
Author(s):  
Kuiche Sop Brinda Leaticia ◽  
Dili Koumai Ismael ◽  
Victor Kombou
Keyword(s):  
2020 ◽  
Vol 13 (03) ◽  
pp. 12-16
Author(s):  
Anna Zänkert
Keyword(s):  

Author(s):  
Roxanne Müller ◽  
Christine Cohen ◽  
Philippe Delmas ◽  
Jérôme Pasquier ◽  
Marine Baillif ◽  
...  

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
S Shah

Abstract Noise pollution in surgical wards negatively influence the wellbeing of patients and healthcare professionals. In addition to disrupting sleep and impairing communication, recognised patient consequences include increased pain, increased re-admission rates and post-ICU psychosis. Ambient white-noise machines, sound-absorbing ceilings and retractable screens are purported as noise pollution reducing strategies (NPRS). These are expensive and impractical. We investigated the capacity of various low resource NPRSs. Noise was measured using “Sound Meter” app at four sites on two identical surgical wards. Ward A and B were designated as study and control ward, respectively. Measurements were taken at three time points (9am, 11am, 3pm) every day during a week. NPRSs were then implemented in ward A and data collection repeated. Prior to intervention there was no difference in noise between ward A and ward B (83dB and 87dB respectively, p > 0.05). After intervention, ward A was significantly quieter than ward B (64dB and 85dB respectively, p < 0.05). Restructuring ward environments presents several challenges. However, low resource interventions can have a positive role in reducing noise pollution. As hospitals become busier with resumption of normal services post-COVID-19, staff should be considerate of noise pollution in order to create an environment conducive to high quality patient care.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1979
Author(s):  
Frank R. Halfwerk ◽  
Jeroen H. L. van Haaren ◽  
Randy Klaassen ◽  
Robby W. van Delden ◽  
Peter H. Veltink ◽  
...  

Cardiac surgery patients infrequently mobilize during their hospital stay. It is unclear for patients why mobilization is important, and exact progress of mobilization activities is not available. The aim of this study was to select and evaluate accelerometers for objective qualification of in-hospital mobilization after cardiac surgery. Six static and dynamic patient activities were defined to measure patient mobilization during the postoperative hospital stay. Device requirements were formulated, and the available devices reviewed. A triaxial accelerometer (AX3, Axivity) was selected for a clinical pilot in a heart surgery ward and placed on both the upper arm and upper leg. An artificial neural network algorithm was applied to classify lying in bed, sitting in a chair, standing, walking, cycling on an exercise bike, and walking the stairs. The primary endpoint was the daily amount of each activity performed between 7 a.m. and 11 p.m. The secondary endpoints were length of intensive care unit stay and surgical ward stay. A subgroup analysis for male and female patients was planned. In total, 29 patients were classified after cardiac surgery with an intensive care unit stay of 1 (1 to 2) night and surgical ward stay of 5 (3 to 6) nights. Patients spent 41 (20 to 62) min less time in bed for each consecutive hospital day, as determined by a mixed-model analysis (p < 0.001). Standing, walking, and walking the stairs increased during the hospital stay. No differences between men (n = 22) and women (n = 7) were observed for all endpoints in this study. The approach presented in this study is applicable for measuring all six activities and for monitoring postoperative recovery of cardiac surgery patients. A next step is to provide feedback to patients and healthcare professionals, to speed up recovery.


2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Karoline Kolås Andersen ◽  
Gunnvald Kvarstein

AbstractObjectivesOpioids are the most potent analgesics in the treatment of postoperative pain. Respiratory depression is, however, a serious side effect. The aims of this study were to evaluate current practice and routines for post-operative administration of opioids in a Norwegian university hospital and to evaluate whether the clinical safeguards adequately protected patients’ safety regarding risk of respiratory depression.MethodsThe study had a retrospective cross-sectional design and included 200 patients, treated with opioids postoperatively. The patients were treated in a post-anesthesia care unit (PACU) before transferal to a surgical ward. Relevant data such as opioid dosages, routes of administration, sedation and respiratory function, routines for patient monitoring, and numbers of patients with opioid induced respiratory depression was collected.ResultsTwo patients (1%) developed respiratory depression that needed naloxone to reverse the effect, and 32 patients (16%) had a respiratory rate (RR) <10/min, which may have been caused by opioids. In the PACU, the patient’s RR was evaluated on a routine base, but after transferal to a surgical ward RR documented in only 7% of the patients.ConclusionsThe lack of routines for patient monitoring, especially RR, represented a risk of not detecting opioid induced respiratory depression.


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