Background: Very few extensive studies regarding job stressors among doctors and nurses have been conducted in India. It is important to explore the workplace to understand various stressors that adversely affect the well-being of an individual and also affect health care and needs of patients and relatives. Considering this, the present study was planned to determine stress among doctors and nurses from the critical care unit (CCU) and to find the association of stress with selected variables. Materials and methods: This observational cross-sectional study was conducted among all staff (doctors and nurses) from the CCU. Data were collected with a pilot-tested, predesigned, validated questionnaire using the Google survey tool consisting of sociodemographic details and the ICMR work stress questionnaire. Analysis of data was done with SPSS version 25. Results: Of 105 participants, 57 (54.3%) were doctors and 48 (45.7%) were nurses. A total of 48.6% (51) of participants scored 32 of 64, that is, managed stress very well, and 51.4% of participants (54) scored 65 of 95, that is, having a reasonably safe level of stress, but certain areas need improvement. Conclusion: Stress was significantly more among females and those who have sleep problems. No statistically significant difference was found between the level of stress and age, relationship with seniors, exercise, and comorbidities. How to cite this article: Patil VC, Patil SV, Shah JN, Iyer SS. Stress Level and Its Determinants among Staff (Doctors and Nurses) Working in the Critical Care Unit. Indian J Crit Care Med 2021;25(8):886–889.
Background: Code Blue systems are communication systems that ensure the most rapid and effective resuscitation of a patient in respiratory or cardiac arrest. Code blue was established in Bharati Hospital and Research Centre in Sept 2011 in order to reduce morbidity and mortality in wards. The aim of the study was to evaluate the current code blue system and suggest possible interventions to strengthen the system.Methods: It was retrospective observational descriptive study. The study population included all consecutive patients above the age of 18 years for whom code blue had been activated. Data was collected using code blue audit forms. The data was analysed using SPSS (Statistical Package for social sciences) software.Results: A total of 260 calls were made using the blue code system between September 2011 to December 2012. The most common place for blue code activation was casualty. The wards were next, followed by dialysis unit and OPD. The indications for code blue team activation were cardio-respiratory arrest (CRA) (88 patients, 33.84%), change in mental status (52 patients, 20%), road traffic accidents RTA (21, 8.07%), convulsions (29 patients 11.15%), chest pain (19 patients, 8.46%), breathlessness (18 patients,6.92%) and worry of staff about the patient (17 patients, 6.53%), presyncope (10 patients, 3.84%), and others (6 patients, 2.30%). The average response time was 1.58±0.96 minutes in our study. Survival rate was more in medical emergency group 46.15% than in CRA group 31.61%. Initial success rate was 35.2% and a final success rate was 34.6%.Conclusions: Establishment of code blue team in the hospital enabled us to provide timely resuscitation for patients who had “out of ICU” CRA. Further study is needed to establish the overall effectiveness and the optimal implementation of code blue teams. The increasing use of an existing service to review patients meeting blue code criteria requires repeated education and a periodic assessment of site-specific obstacles to utilization.
Background: Admission hypomagnesemia has been linked with an increased risk of septic shock. The purpose of this study was to evaluate admission serum magnesium levels in patients with septic shock and to determine its correlation with the outcomes.Methods: It was a prospective observational study. Total 50 patients fitting the Sepsis-3 definition between time period of June 2017 to November 2018 were included in the study. Patients with suspected infection were identified at the bedside with qSOFA. Admission serum magnesium levels was measured for all patients included. APACHE II scores were calculated at the end of 24 hours after admission. Routine standard of care treatment was provided to all patients. The patients were monitored for organ dysfunctions based on daily SOFA scores, ventilator free days, vasopressors free days, dialysis free days, length of intensive care unit stay, length of hospital stay. The data was analysed using Statistical Package for Social Sciences for MS Windows.Results: In this study hypomagnesemia was prevalent in 18%, normomagnesemia in 62% and hypermagnesemia in 20% of total included patients. The mean vasopressor free days in Hypomagnesemia group (7.11±12.79 days) were higher than those in normomagnesemic patients (5.06±5.51 days) and hypermagnesemia patients (1.70±3.09 days). Out of total 50 patients 18 died and 32 recovered. 11 patients out of 32 who recovered had abnormal admission serum magnesium levels whereas 8 pts out of 18 who died had abnormal admission serum magnesium levels. SOFA score in hypomagnesemic patients admitted with septic shock compared with those of normomagnesemic and hypermagnesemic patients was statistically significant.Conclusions: Author did not find any statistically significant correlation between admission magnesium levels in septic shock patients and outcomes although SOFA score was higher in hypomagnesemic patients admitted with septic shock compared with those of normomagnesemic and hypermagnesemic patients. Serum magnesium may not truly reflect body’s magnesium status. RBC magnesium may need to be studied to see whether it is a more reliable biomarker.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.