The Intensive Care Unit in Adults: Coronary Care and General Medical / Surgical

2015 ◽  
pp. 1-29 ◽  
Author(s):  
Donald S. Kornfeld
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Coronary Care

Coronary Care in a General Hospital

1971 ◽  
Vol 16 (3) ◽  
pp. 173-182 ◽  
Author(s):  
Gavin Shaw ◽  
Bernard Groden ◽  
Evelyn Hastings
Keyword(s):  
Myocardial Infarction ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
General Hospital ◽  
First Year ◽  
Duration Of Stay ◽  
Before And After ◽  
The Mean ◽  
Coronary Care ◽  
Made In

The establishment, staffing and structure and observations made in the first year of the existence of coronary care in an intensive care unit in a general hospital are recorded. Two hundred and twenty eight patients were admitted during the year in whom the diagnosis of myocardial infarction was confirmed. There were 29 deaths in the unit and 14 deaths occurred in the wards of the hospital after discharge from the unit. 49.1 per cent of the patients were admitted within 4 hours of the onset of symptoms and the mean duration of stay in the unit was 86.5 hours. The type of arrhythmia detected in the unit, and the treatment given to the patients both before and after admission to the intensive care unit are described.

scholarly journals Assessing equity in the distribution of hospital beds: evidence from northern Iran

2019 ◽  
Vol 28 (4) ◽  
pp. 259-265
Author(s):  
Javad Ebrahimzadeh ◽  
Zahra Merati ◽  
Mahsa Hedayati Zafarghandi ◽  
Ghasem Rajabi ◽  
Mohamad Ezati Asar ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Evaluation System ◽  
Neonatal Intensive Care ◽  
Coronary Care Unit ◽  
Theil Index ◽  
Northern Iran ◽  
Hospital Beds ◽  
Coronary Care

Objective: To assess equity in the distribution of hospital beds in northern Iran. Methods: In this cross-sectional study, we investigated the degree of equity by using 2016 census data from 16 cities in Guilan province. The hospital beds include burns, intensive care unit, coronary care unit and neonatal intensive care unit beds. We analysed the general status and explored its distribution equity by using the Theil index. Findings: We found that Rezvanshahr and Masal had no hospital beds. The utilisation gap was positive only in Rasht, as capital of the province. Neonatal intensive care unit beds were only found in Rasht and Lahijan. Rasht was shown to have a positive gap in using burns, intensive care unit and coronary care unit beds, with a negative gap of 14.68 in coronary care unit beds. The other 15 cities did not have such hospital beds. For intensive care unit, coronary care unit and neonatal intensive care unit beds, nearly 8%, 2% and 14% of cities were deprived of being equipped with these hospital beds, respectively. The highest positive gap and the lowest negative gap were attributed to coronary care unit beds. In the province, there were 0.057 burns beds, 0.137 intensive care unit beds, 0.381 coronary care unit beds and 0.72 neonatal intensive care unit beds per 10,000 population (neonatal intensive care unit beds, per 1000 neonates). In 11 out of 16 cities, the number of coronary care unit beds per 10,000 population was higher than the provincial average. The highest inequality in distribution was shown to be for burns beds (0.8), neonatal intensive care unit beds (0.75), intensive care unit beds (0.55) and coronary care unit beds (0.21), respectively. Conclusion: This study revealed high inequalities in the distribution of hospital beds in northern Iran. The local and national policy-makers should design and implement a comprehensive monitoring and evaluation system for tracking and allocating healthcare resources, both qualitatively and quantitatively, which appears to be very necessary to increase the equity in access to healthcare services.

Prognostic Scoring Systems: Facing Difficult Decisions with Objective Data

1993 ◽  
Vol 2 (2) ◽  
pp. 185-191 ◽  
Author(s):  
Kent Sasse
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Scoring Systems ◽  
The United States ◽  
Assisted Ventilation ◽  
Intensive Care Patients ◽  
Coronary Care ◽  
Cardiopulmonary Performance ◽  
The Cost ◽  
Prognostic Scoring Systems

In the United States, at least 6% of all hospital beds are in the intensive care unit (ICU) or coronary care unit. The cost of treating a patient in an intensive care unit averages from $2,000 to $3,500 per day. At least 10–40% of intensive care patients will not survive to hospital discharge. Today, every major category of disease may be found in the modern ICU; common diagnoses are septicemia, postsurgical complications, cerebrovascular accidents, gastrointestinal bleeding, neoplasia, and respiratory failure. ICUs employ some of the most sophisticated medical technology, routinely monitoring the cardiopulmonary performance of patients and often providing assisted ventilation. ICUs are high intensity in terms of their staffing, involving 24-hour physician supervision and nurse:patient ratios from 1:3 to 1:1.

scholarly journals Association between early intensive care or coronary care unit admission and post-discharge performance of activities of daily living in patients with acute decompensated heart failure

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251505
Author(s):  
Masato Kanda ◽  
Kazuya Tateishi ◽  
Atsushi Nakagomi ◽  
Togo Iwahana ◽  
Sho Okada ◽  
...  
Keyword(s):  
Heart Failure ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Daily Living ◽  
Coronary Care Unit ◽  
Acute Decompensated Heart Failure ◽  
Decompensated Heart Failure ◽  
Post Discharge ◽  
Coronary Care ◽  
Adl Performance

The management of acute decompensated heart failure often requires intensive care. However, the effects of early intensive care unit/coronary care unit admission on activities of daily living (ADL) in acute decompensated heart failure patients have not been precisely evaluated. Thus, we retrospectively assessed the association between early intensive care unit admission and post-discharge ADL performance in these patients. Acute decompensated heart failure patients (New York Heart Association I–III) admitted on emergency between April 1, 2014, and December 31, 2018, were selected from the Diagnosis Procedure Combination database and divided into intensive care unit/coronary care unit (ICU) and general ward (GW) groups according to the hospitalization type on admission day 1. The propensity score was calculated to create matched cohorts where admission style (intensive care unit/coronary care unit admission) was independent of measured baseline confounding factors, including ADL at admission. The primary outcome was ADL performance level at discharge (post-ADL) defined according to the Barthel index. Secondary outcomes included length of stay and total hospitalization cost (expense). Overall, 12231 patients were eligible, and propensity score matching created 2985 pairs. After matching, post-ADL was significantly higher in the ICU group than in the GW group [mean (standard deviation), GW vs. ICU: 71.5 (35.3) vs. 78.2 (31.2) points, P<0.001; mean difference: 6.7 (95% confidence interval, 5.1–8.4) points]. After matching, length of stay was significantly shorter and expenses were significantly higher in the ICU group than in the GW group. Stratified analysis showed that the patients with low ADL at admission (Barthel index score <60) were the most benefited from early intensive care unit/coronary care unit admission. Thus, early intensive care unit/coronary care unit admission was associated with improved post-ADL in patients with emergency acute decompensated heart failure admission.

scholarly journals Evaluation of Nurses’ Workload in the Intensive Care Unit, Neonatal Intensive Care Unit and Coronary Care Unit: An Analytical Study

2020 ◽  
Author(s):  
Maryam Azadi ◽  
Jalil Azimian ◽  
Maryam Mafi ◽  
Farnoosh Rashvand
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Analytical Study ◽  
Pearson Correlation ◽  
Risk Of Death ◽  
Increased Risk ◽  
The Mean ◽  
Coronary Care

Introduction: The workload on nurses can have adverse effects on the patient, nurse and healthcare system such as reduced quality of care, increased risk of nursing errors, reduced patient satisfaction, increased nurse anxiety, increased nursing job stress, increased risk of infection, increase in the length of hospital stay and increased risk of death. Aim: The present study was designed and conducted to compare nurses’ workload in the Intensive Care Unit (ICU), Neonatal Intensive Care Unit (NICU), and Coronary Care Units (CCU). Materials and Methods: The present study is a cross sectional analytical study that was conducted in the ICU, NICU and CCU of educational hospitals affiliated to Qazvin University of Medical Sciences. The convenience sampling method was used. A nursing activity score was used to assess nurses’ workload. The total score in this instrument is between zero and 178. Data were analysed using SPSS 16. Pearson correlation coefficient, chi-square, independent t-test, one-way analysis of variance was used. Results: The mean score of the total workload in nurses was 104.19±25.18. Regarding the primary purpose of the study, the results of the present study showed that the mean score of nurses’ workload was significantly higher in nurses working in the NICU than nurses working in the ICU and CCU (p<0.05). Among the demographic variables, only the marital status was significantly associated with nurses’ workload, that married nurses experienced more workload in some shifts (p<0.05). Conclusion: Nurses working in NICUs experienced a higher level of workload compared to the nurses in ICU and CCU. Due to the high workload of nurses in the NICU and the complications that this can cause for neonatal patients and nurses, it is necessary to pay more attention to the distribution of nurses in these wards.

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