scholarly journals Compassionate care during withdrawal of treatment: A secondary analysis of ICU nurses' experiences

2017 ◽  
Vol 25 (8) ◽  
pp. 1075-1086 ◽  
Author(s):  
Nikolaos Efstathiou ◽  
Jonathan Ives
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Secondary Analysis ◽  
Treatment Withdrawal ◽  
Primary Study ◽  
Compassionate Care ◽  
Large Hospital ◽  
Data Set ◽  
Withdrawal Of Treatment ◽  
The Family

Background: Withdrawal of treatment is a common practice in intensive care units when treatment is considered futile. Compassion is an important aspect of care; however, it has not been explored much within the context of treatment withdrawal in intensive care units. Objectives: The aim was to examine how concepts of compassion are framed, utilised and communicated by intensive care nurses in the context of treatment withdrawal. Design: The study employed a qualitative approach conducting secondary analysis of an original data set. In the primary study, 13 nurses were recruited from three intensive care units within a large hospital in United Kingdom. Deductive framework analysis was used to analyse the data in relation to compassionate care. Ethical considerations: The primary study was approved by the local Research Ethics Committee and the hospital’s Research and Development services. Findings: Compassionate care was mostly directed to the patient’s family and was demonstrated through care and emotional support to the family. It was predominantly expressed through attempts to maintain the patient’s dignity by controlling symptoms, maintaining patient cleanliness and removing technical apparatus. Conclusion: This study’s findings provide insight about compassionate care during treatment withdrawal which could help to understand and develop further clinicians’ roles. Prioritising the family over the patient raised concerns among nurses, who motivated by compassion, may feel justified in taking measures that are in the interests of the family rather than the patient. Further work is needed to explore the ethics of this.

Patients’ and Families’ Satisfaction with Visiting Policies in Cardiac Intensive Care Units

2016 ◽  
Vol 9 (1) ◽  
pp. 67 ◽  
Author(s):  
Shiva Khaleghparast ◽  
Soodabeh Joolaee ◽  
Majid Maleki ◽  
Hamid Peyrovi ◽  
Behrooz Ghanbari ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Simple Random Sampling ◽  
Vital Role ◽  
Patient Centered ◽  
Cross Sectional ◽  
The Family ◽  
Centered Care ◽  
Cardiac Intensive Care ◽  
Cross Sectional Design

<p><strong>BACKGROUND: </strong>Families play a vital role in the recovery of patients admitted to Intensive Care Units. They can help patients to adapt themselves to the crisis and feel more satisfied.</p><p><strong>OBJECTIVE: </strong>In this study, we examined the patients’ and families’ satisfaction with the current visiting policies in Cardiac Intensive Care Units in the largest Cardiovascular Medical and Research Center of Iran.</p><p><strong>METHOD:</strong> This research used<strong> </strong>a cross-sectional design with a simple random sampling. To do so, 303 patients admitted to those Cardiac Intensive Care Units and their families responded to a two-part questionnaire between September 2014 and March 2015. The inclusion criteria for patients were aged between 18 and 85, acceptable general status to respond to the questions of the questionnaire, and having one of the cardiac diseases symptoms. Intention to attend was the only inclusion criterion for the family members.</p><p><strong>RESULTS:</strong> The results showed that 167(55.1%) of the participants were dissatisfied with the limited visiting policies of the Cardiac Intensive Care Units, while the satisfaction rate was 43(14.2%). The remaining participants (30.7%) were slightly satisfied with the visiting policies in Cardiac Intensive Care Units.</p><p><strong>CONCLUSIONS: </strong>Patient-centered care is an expectation among patients and their families in the Cardiac Intensive Care Units. It seems that a change in visiting policies is necessary.</p>

scholarly journals The Educational Needs of Family of the Patients Discharged from the Intensive Care Units: The Viewpoints of Nurses and the patients’ Families

2019 ◽  
Author(s):  
Asma Hajalizadeh ◽  
Mehdi Ahmadinejad ◽  
Mahlagha Dehghan ◽  
Mansoor Arab
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Self Care ◽  
Educational Needs ◽  
Cross Sectional Study ◽  
Family Needs ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Family ◽  
High Level

Abstract Objectives This study aimed to determine the educational needs of the families of patients discharged from the intensive care units and to compare the views of families and nurses about these needs.Method This was a cross-sectional study. Two hundred eighty nurses and family members of the patients discharged from the intensive care units participated in the survey. A researcher-made questionnaire about the educational needs of the family were used for data collection.Results Nurses significantly estimated the educational needs of families more than what they did (P <0.001). The families and nurses reported the educational needs of self-care as well as nutrition and medicine at the highest level, respectively. Both groups reported the educational needs of defecation at the lowest level.Conclusion Given the high level of family needs, implementing educational and practical interventions is necessary to enhance their skills.

scholarly journals 2498

2017 ◽  
Vol 1 (S1) ◽  
pp. 19-19
Author(s):  
Abiel Roche-Lima ◽  
Patricia Ordoñez ◽  
Nelson Schwarz ◽  
Adnel Figueroa-Jiménez ◽  
Leonardo A. Garcia-Lebron
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Nearest Neighbor ◽  
Edit Distance ◽  
Series Representation ◽  
Data Set ◽  
Patient Status ◽  
Finite State ◽  
Finite State Transducer ◽  
F Measure

OBJECTIVES/SPECIFIC AIMS: To learn the edit distance costs of a symbolic univariate time series representation through a stochastic finite-state transducer to predict patient outcomes in intensive care units. METHODS/STUDY POPULATION: High frequency data of patients in intensive care units were used as a data set. The nearest neighbor method with edit distance costs (learned by the FST) were used to classify the patient status within an hour after 10 hours of data. Several experiments were developed to estimate the parameters that better fit the model regarding the prediction metrics. RESULTS/ANTICIPATED RESULTS: Different metrics were obtained for the several parameters. These metrics were metrics (ie, accuracy, precision, and F-measure). DISCUSSION/SIGNIFICANCE OF IMPACT: Our best results are compared with published works, where most of the metrics (ie, accuracy, precision, and F-measure) were improved.

scholarly journals Registered nurses’ experience of the withdrawal of treatment from the critically ill patient in an intensive care unit

Curationis ◽  
2005 ◽  
Vol 28 (1) ◽  
Author(s):  
D Van Rooyen ◽  
M Elfick ◽  
J Strümpher
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Registered Nurses ◽  
Critically Ill ◽  
Treatment Withdrawal ◽  
Traumatic Experience ◽  
Critically Ill Patient ◽  
Ethical Aspects ◽  
Withdrawal Of Treatment ◽  
Qualitative Descriptive

In this article the results of research undertaken to explore and describe the experience of Registered Nurses regarding the withdrawal of treatment from the critically ill patient in an Intensive Care Unit (ICU), are discussed. Withdrawal of treatment from a critically ill patient in an Intensive Care Unit (ICU) is a very traumatic experience for all those involved. The Registered Nurse has the most contact with all those who are involved throughout the process. This raises questions regarding how the nurse experiences the withdrawal of treatment, and about guidelines that can be developed to accompany the nurse during the process of treatment withdrawal. The study was qualitative, descriptive, exploratory, descriptive and contextual in nature. Data was gathered by means of phenomenological interviews conducted by the researcher. Trustworthiness was ensured through the implementation of Guba’s model (in Krefting 1991: 214). The following themes were identified: 1. The relationships the nurse develops with individuals involved in the process of treatment withdrawal. 2. The inner moral conflict experienced by the nurse relating to the ethical aspects of withdrawal of treatment. The focus of this article is on the discussion of these experiences of the registered nurses. Based on the identified themes, guidelines were developed to accompany the nurse during the process of withdrawal of treatment.

Pressure injury prevalence in Australian intensive care units: A secondary analysis

2021 ◽  
Author(s):  
Fiona Coyer ◽  
Wendy Chaboyer ◽  
Frances Lin ◽  
Anna Doubrovsky ◽  
Michelle Barakat-Johnson ◽  
...  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Secondary Analysis ◽  
Pressure Injury

scholarly journals Outcome following admission to UK intensive care units after cardiac arrest: a secondary analysis of the ICNARC Case Mix Programme Database*

Anaesthesia ◽  
2007 ◽  
Vol 62 (12) ◽  
pp. 1207-1216 ◽  
Author(s):  
J. P. Nolan ◽  
S. R. Laver ◽  
C. A. Welch ◽  
D. A. Harrison ◽  
V. Gupta ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Secondary Analysis ◽  
Case Mix

Dignified death: Concept development involving nurses and doctors in Pediatric Intensive Care Units

2011 ◽  
Vol 18 (5) ◽  
pp. 694-709 ◽  
Author(s):  
Kátia Poles ◽  
Regina Szylit Bousso
Keyword(s):  
Intensive Care ◽  
End Of Life ◽  
Intensive Care Units ◽  
Healthcare Professionals ◽  
Pediatric Intensive Care ◽  
Concept Development ◽  
Pediatric Intensive Care Units ◽  
The Family ◽  
Values And Beliefs ◽  
Depth Interviews

The aim of this study was to develop the concept of the dignified death of children in Brazilian pediatric intensive care units (PICUs). The Hybrid Model for Concept Development was used to develop a conceptual structure of dignified death in PICUs in an attempt to define the concept. The fieldwork study was carried out by means of in-depth interviews with nine nurses and seven physicians working in PICUs. Not unexpectedly, the concept of dignified death was found to be a complex phenomenon involving aspects related to decisions made by the multidisciplinary team as well as those related to care of the child and the family. Knowledge of the concept’s dimensions can promote reflection on the part of healthcare professionals regarding the values and beliefs underlying their conduct in end-of-life situations. Our hope is that this study may contribute to theoretic and methodological development in the area of end-of-life care.

scholarly journals Withholding or withdrawal of treatment under French rules: a study performed in 43 intensive care units

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Olivier Lesieur ◽  
◽  
Maxime Leloup ◽  
Frédéric Gonzalez ◽  
Marie-France Mamzer
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Withdrawal Of Treatment

scholarly journals Superiority of Supervised Machine Learning on Reading Chest X-Rays in Intensive Care Units

2021 ◽  
Vol 8 ◽  
Author(s):  
Kumiko Tanaka ◽  
Taka-aki Nakada ◽  
Nozomi Takahashi ◽  
Takahiro Dozono ◽  
Yuichiro Yoshimura ◽  
...  
Keyword(s):  
Machine Learning ◽  
Intensive Care ◽  
Pleural Effusion ◽  
Diagnostic Accuracy ◽  
Intensive Care Units ◽  
Area Under The Curve ◽  
Chest Radiographs ◽  
Data Set ◽  
Portable Chest ◽  
Icu Physicians

Purpose: Portable chest radiographs are diagnostically indispensable in intensive care units (ICU). This study aimed to determine if the proposed machine learning technique increased in accuracy as the number of radiograph readings increased and if it was accurate in a clinical setting.Methods: Two independent data sets of portable chest radiographs (n = 380, a single Japanese hospital; n = 1,720, The National Institution of Health [NIH] ChestX-ray8 dataset) were analyzed. Each data set was divided training data and study data. Images were classified as atelectasis, pleural effusion, pneumonia, or no emergency. DenseNet-121, as a pre-trained deep convolutional neural network was used and ensemble learning was performed on the best-performing algorithms. Diagnostic accuracy and processing time were compared to those of ICU physicians.Results: In the single Japanese hospital data, the area under the curve (AUC) of diagnostic accuracy was 0.768. The area under the curve (AUC) of diagnostic accuracy significantly improved as the number of radiograph readings increased from 25 to 100% in the NIH data set. The AUC was higher than 0.9 for all categories toward the end of training with a large sample size. The time to complete 53 radiographs by machine learning was 70 times faster than the time taken by ICU physicians (9.66 s vs. 12 min). The diagnostic accuracy was higher by machine learning than by ICU physicians in most categories (atelectasis, AUC 0.744 vs. 0.555, P &lt; 0.05; pleural effusion, 0.856 vs. 0.706, P &lt; 0.01; pneumonia, 0.720 vs. 0.744, P = 0.88; no emergency, 0.751 vs. 0.698, P = 0.47).Conclusions: We developed an automatic detection system for portable chest radiographs in ICU setting; its performance was superior and quite faster than ICU physicians.

scholarly journals Expectations of families of patients hospitalized in Intensive Care Units

2019 ◽  
Author(s):  
Lidia Glinka ◽  
Jolanta Januszkiewicz ◽  
Aleksandra Gutysz-Wojnicka ◽  
Nastassia Karakina ◽  
Małgorzata Braczkowska ◽  
...  
Keyword(s):  
Intensive Care ◽  
Health Education ◽  
Pastoral Care ◽  
Intensive Care Units ◽  
Health Condition ◽  
Loved One ◽  
Level Of Satisfaction ◽  
The Family ◽  
The Way

Introduction A disease of a loved one constitutes a serious disturbance in the functioning of many families. Meeting expectations of patients’ families is seen as an element conditioning the level of satisfaction from the care provided in hospital. Aim The aim of this study was to investigate the expectations of families of people hospitalized in the Intensive Care Units (ICUs). Material and methods The study was carried out in ICUs in the Warmińsko-Mazurskie Voivodeship. The study was performed by diagnostic survey using the questionnaire technique. In total 104 people were surveyed. Results and Discussion The highest ranking expectation of the patient’s loved ones was that of trust towards the staff diagnosing and treating the patient as well as the staff nursing them. Then there came: the feeling of ensuring the best care possible for the patient, obtaining information about the patient’s health, education on the way the unit functions, staying at the patient’s bedisde in the ICU. Lower in the ranking were the importance of having access to the family zone amenities, the opportunity of sharing their problems with others or receiving psychological and pastoral care. Conclusions The most important need of visitors to the ICU is to obtain assurance that the patient is provided the best care possible. As the second most important need, the respondents mentioned the need to be close to the patient and easiness of obtaining information about their health condition provided by the doctor.

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