scholarly journals Effect of covid-19 pandemic on in-hospital mortality

2021 ◽  
Vol 8 (6) ◽  
pp. 389-393
Author(s):  
Ramazan Ünal ◽  
Ramazan Güven ◽  
Dilek Atik ◽  
Ahmet Erdur ◽  
Ertuğrul Ak ◽  
...  
Keyword(s):  
Intensive Care ◽  
Hospital Mortality ◽  
Descriptive Study ◽  
Mortality Rates ◽  
Healthcare Systems ◽  
Patient Admission ◽  
Single Centre ◽  
Cross Sectional ◽  
Causes Of Mortality ◽  
Respiratory Causes

Objective: This study aimed to examine the effect of the pandemic on hospital mortality and patient admission in four months since March 2020 when the Ministry of Health announced the first confirmed COVID-19 case in Turkey and the first wave occurred. Material-Method: This research is a single-centre, retrospective, cross-sectional descriptive study. It covers the periods between March 01 and Jun 30 of 2018, 2019, and 2020. Results: Between 2018-2020, 897522, 972799, and 395438 patients were admitted to our Hospital, respectively. It was observed that the number of admissions decreased by 55-60% in 2020 compared to the previous years (p=0.001). Moreover, 205318 (22.9%) of the admissions in 2018, 229278 (23.6%) of the admissions in 2019, and 1127293 (32%) of the admissions in 2020 were emergency room (ER) admissions. Especially in 2020, there was a significant increase in the overall in-hospital (p=0.001) and ER (p=0.001 mortality rates compared to previous years. In-hospital mortality was found to be higher, especially in patients with suspected COVID-19 (p=0.001). It was found that the number of deaths due to respiratory causes was significantly increased in 2020 compared to the previous years (p=0.001). Conclusion: The COVID-19 pandemic has led to significant changes in mortality rates and causes of mortality compared to previous years. Although the pandemic has affected all healthcare systems, ER and intensive care units (ICU) are seriously affected.

scholarly journals Pleasure and suffering in intensive care unit nursing staff

2011 ◽  
Vol 19 (3) ◽  
pp. 565-572 ◽  
Author(s):  
Helena Eri Shimizu ◽  
Djalma Ticiani Couto ◽  
Edgar Merchan-Hamann
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Nursing Staff ◽  
Freedom Of Expression ◽  
Descriptive Study ◽  
Descriptive Statistics ◽  
Critical Levels ◽  
Cross Sectional ◽  
Causal Factors ◽  
Professional Achievement

The aim of this study was to analyze the causal factors of pleasure and suffering in Intensive Care Unit (ICU) nursing staff and to compare the occurrence of these factors at the beginning and end of the career. This was a cross-sectional descriptive study conducted with 26 nurses and 96 nursing technicians. The previously validated Pleasure and Suffering Scale was used. The data were analyzed using descriptive statistics with the SPSS 12.0 software and the Kruskal Wallis test was used to assess the presence of these factors at the beginning and end of the career. The results indicated that, for both the nurses and the nursing technicians, the factors that contribute to feelings of pleasure, professional achievement and freedom of expression, and the factors that cause suffering, professional exhaustion and lack of recognition, were encountered at critical levels.

scholarly journals Variation in hospital mortality in an Australian neonatal intensive care unit network

2017 ◽  
Vol 103 (4) ◽  
pp. F331-F336 ◽  
Author(s):  
Mohamed E Abdel-Latif ◽  
Gen Nowak ◽  
Barbara Bajuk ◽  
Kathryn Glass ◽  
David Harley
Keyword(s):  
Logistic Regression ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Neonatal Intensive Care ◽  
Severity Of Illness ◽  
Mortality Rates ◽  
Population Characteristics ◽  
South Wales ◽  
Graphical Tool ◽  
Funnel Plots

BackgroundStudying centre-to-centre (CTC) variation in mortality rates is important because inferences about quality of care can be made permitting changes in practice to improve outcomes. However, comparisons between hospitals can be misleading unless there is adjustment for population characteristics and severity of illness.ObjectiveWe sought to report the risk-adjusted CTC variation in mortality among preterm infants born <32 weeks and admitted to all eight tertiary neonatal intensive care units (NICUs) in the New South Wales and the Australian Capital Territory Neonatal Network (NICUS), Australia.MethodsWe analysed routinely collected prospective data for births between 2007 and 2014. Adjusted mortality rates for each NICU were produced using a multiple logistic regression model. Output from this model was used to construct funnel plots.ResultsA total of 7212 live born infants <32 weeks gestation were admitted consecutively to network NICUs during the study period. NICUs differed in their patient populations and severity of illness.The overall unadjusted hospital mortality rate for the network was 7.9% (n=572 deaths). This varied from 5.3% in hospital E to 10.4% in hospital C. Adjusted mortality rates showed little CTC variation. No hospital reached the +99.8% control limit level on adjusted funnel plots.ConclusionCharacteristics of infants admitted to NICUs differ, and comparing unadjusted mortality rates should be avoided. Logistic regression-derived risk-adjusted mortality rates plotted on funnel plots provide a powerful visual graphical tool for presenting quality performance data. CTC variation is readily identified, permitting hospitals to appraise their practices and start timely intervention.

scholarly journals National trends in coronary intensive care unit admissions, resource utilization, and outcomes

2019 ◽  
Vol 9 (8) ◽  
pp. 923-930
Author(s):  
Sarah Woolridge ◽  
Wendimagegn Alemayehu ◽  
Padma Kaul ◽  
Christopher B Fordyce ◽  
Patrick R Lawler ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Critical Care ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Mortality Rates ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment

Background: Emerging evidence suggests that coronary intensive care units are evolving into intensive care environments with an increasing burden of non-cardiovascular illness, but previous studies have been limited to older populations or single center experiences. Methods: Canadian national health-care data was used to identify all patients ≥18 years admitted to dedicated coronary intensive care units (2005–2015) and admissions were categorized as primary cardiac or non-cardiac. The outcomes of interest included longitudinal trends in admission diagnoses, critical care therapies, and all-cause in-hospital mortality. Results: Among the 373,992 patients admitted to a coronary intensive care unit, minimal changes in the proportion of patients admitted with a primary cardiac (88.2% to 86.9%; p<0.001) and non-cardiac diagnoses (11.8% to 13.1%; p<0.001) were observed. Among cardiac admissions, a temporal increase in the proportion of ST-segment elevation myocardial infarction (19.4% to 24.1%, p<0.001), non-ST-segment elevation myocardial infarction (14.6% to 16.2%, p<0.001), heart failure (7.3% to 8.4%, p<0.001), shock (4.9% to 5.7%, p<0.001), and decline in unstable angina (4.9% to 4.0%, p<0.001) and stable coronary diseases (21.3% to 12.4%, p<0.001) was observed. The proportion of patients requiring critical care therapies (57.8% to 63.5%, p<0.001) including mechanical ventilation (9.6% to 13.1%, p<0.001) increased. In-hospital mortality rates for patients with primary cardiac (4.9% to 4.4%; adjusted odds ratio 0.71, 95% confidence interval 0.63–0.79) and non-cardiac (17.8% to 16.1%; adjusted odds ratio 0.84, 0.73–0.97) declined; results were consistent when stratified by academic vs community hospital, and by the presence of on-site percutaneous coronary intervention. Conclusion: In a national dataset we observed a changing case-mix among patients admitted to a coronary intensive care unit, though the proportion of patients with a primary cardiac diagnosis remained stable. There was an increase in clinical acuity highlighted by critical care therapies, but in-hospital mortality rates for both primary cardiac and non-cardiac conditions declined across all hospitals. Our findings confirm the changing coronary intensive care unit case-mix and have implications for future coronary intensive care unit training and staffing.

scholarly journals Impact of the COVID-19 pandemic on acute surgical patients’ discharge summaries – Experience of Wales worst-hit COVID-19 hospital

2021 ◽  
pp. 251604352110093
Author(s):  
Rucira Ooi ◽  
Imogen Bambrough Stimson ◽  
Gethin Williams
Keyword(s):  
Intensive Care ◽  
Data Collection ◽  
Healthcare Systems ◽  
Surgical Patients ◽  
Time Constraints ◽  
Single Centre ◽  
Effective Discharge ◽  
Delayed Discharge ◽  
Assessment Unit ◽  
Discharge Summaries

Background The emergence of the COVID-19 pandemic has placed increased demands on the NHS workforce, especially in medical and intensive care units. The subsequent redistribution of surgical house officers to accommodate this in a single-centre NHS hospital has possibly negatively impacted on the effective discharge notification of acute surgical patients. Methods Discharge summaries of all patients directly discharged from a Surgical Assessment Unit were collected on the day of discharge and analysed to identify the date of completion and staff grade of the responsible clinician. Data collection was carried out before the initiation of lockdown measures and continued for a further three weeks during the peak of the COVID-19 pandemic with an interventional period in between. A poster was created and displayed in areas where discharge software could be accessed. Results In the initial audit, 36.2% of the 246 patients had delayed discharge summaries with an average of 7 days to complete. On re-evaluation, 45.3% of the 223 patients had delayed discharge summaries, taking an average of 12 days to complete. A survey conducted post-re-audit identified that the most common reason for delayed discharge summaries was due to time constraints associated with the increased workload. Conclusion The reallocation of surgical staff in response to the COVID-19 pandemic has affected communication between primary and secondary care, with a rise in delayed discharge letters of acute surgical patients. Given the potential repercussions of these delays, healthcare systems should be aware of this consequence of the pandemic, especially in preparation for any resurgences.

scholarly journals 467 Impact of the Coronavirus Pandemic on Acute Surgical Patients’ Discharge Summaries

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
R Ooi ◽  
I B Stimson ◽  
G Williams
Keyword(s):  
Intensive Care ◽  
Data Collection ◽  
Healthcare Systems ◽  
Surgical Patients ◽  
Time Constraints ◽  
Single Centre ◽  
Effective Discharge ◽  
Delayed Discharge ◽  
Assessment Unit ◽  
Discharge Summaries

Abstract Background The emergence of the Coronavirus pandemic has placed increased demands on the NHS workforce, especially in medical and intensive care units. The subsequent redistribution of surgical house officers to accommodate this in a single centre has possibly negatively impacted on the effective discharge notification of acute surgical patients. Methods: Discharge summaries of all patients discharged from a Surgical Assessment Unit were collected and analysed, to identify the date of completion and grade of responsible clinician. Data collection was carried out over three weeks before the initiation of lockdown measures and continued for a further three weeks during the peak of the Coronavirus pandemic with a three-week interventional period in between. Results In the initial audit, 36.2% of the 246 patients had delayed discharge summaries with an average of 7 days to complete. On re-evaluation, 45.3% of the 223 patients had delayed discharge summaries, with an average of 12 days to complete. A survey conducted post-re-audit identified that the most common reason for this was due to time constraints. Conclusions The reallocation of surgical staff has affected communication between primary and secondary care. Given the potential repercussions of these delays, healthcare systems should be made aware of this consequence, especially in preparation for any future resurgences.

scholarly journals A Cross-sectional Descriptive Study of Prevalence and Nature of Psychiatric Referrals from Intensive Care Units in a Multispecialty Hospital

2011 ◽  
Vol 33 (2) ◽  
pp. 167-171 ◽  
Author(s):  
Govind S. Bhogale ◽  
Raghavendra B. Nayak ◽  
Mary Dsouza ◽  
Sameeran S. Chate ◽  
Meenakshi B. Banahatti
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Descriptive Study ◽  
Cross Sectional
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