The Effect of End-of-Life Care Awareness Education on Knowledge, Attitudes, and Behaviors of Intensive Care Nurses: A Randomized Controlled Study
The Effect of End-of-Life Care Awareness Education on Knowledge, Attitudes, and Behaviors of Intensive Care Nurses: A Randomized Controlled Study
This study was designed as a prospective randomized controlled study in order to evaluate the effect of end-of-life care awareness training to be given to intensive care nurses on the knowledge levels, attitudes, and behaviors of nurses. The study was conducted between May and July 2023 with 76 nurses working in the Anesthesia and Reanimation Intensive Care Unit, General Intensive Care Unit, and Cardiovascular Surgery Intensive Care Unit of Van Training and Research Hospital, who met the inclusion criteria. The hypotheses of this research:
H1: End-of-life care awareness training increases the knowledge level of intensive care nurses about end-of-life care.
H2: End-of-life care awareness training positively affects intensive care nurses' attitudes toward end-of-life care.
H3: End-of-life care awareness training positively affects the behaviors of intensive care nurses towards end-of-life care.
Nurses who completed their undergraduate education worked in intensive care for at least one year, actively continued their profession (no annual leave, report, etc.), and were willing and voluntary to participate in the study were included in the study. Nurses who had a palliative care nursing certificate, had received training on end-of-life care by participating in a training program such as ELNEC, and had not participated in the training program of the study for more than two sessions were not included in the study.
At the beginning of the research, the pre-test forms/scales "Nurse Information Form", "End-of-Life Care Knowledge Test" and "Intensive Care Nurses' Attitudes and Behaviors Towards End-of-Life Care Scale" were administered to all nurses. After the pre-test application, the nurses were randomly included in the training and control groups. A randomization list generated by a computer-based random number sequence was used to determine which group the intensive care nurses would be in.
End-of-life care is defined as a support and care program that requires the use of psychosocial skills and techniques to meet the expectations and needs of the patient and his/her family in cases where treatment is no longer possible and to enable the patient and his/her family to live as comfortably as possible in this final period. According to World Health Organization data, more than 30 million individuals have died due to a disease requiring end-of-life care and approximately 20 million of them need intensive care. It is observed that nurses do not have sufficient knowledge and skills in clinical practice due to the lack of importance given to end-of-life care in the nursing education curriculum. In recent studies, it is a remarkable result for intensive care nurses that intensive care nurses cannot define end-of-life care and that their knowledge about end-of-life care is not at the desired level. These results in the literature reveal the importance of end-of-life care education for intensive care nurses. It has been reported that the end-of-life care provided by intensive care nurses to patients and their relatives is affected by nurses' attitudes and behaviors towards end-of-life care as well as their level of knowledge. In addition, examining the attitudes and behaviors of intensive care nurses about providing end-of-life care will guide both the awareness of the problems experienced by nurses and the planning of effective care services. In this context, it will be possible for intensive care nurses to provide holistic and holistic care to the patient and his/her family at the end of life, to meet the psycho-social needs of the patient, to have sufficient knowledge about end-of-life care and to exhibit positive attitudes and behaviors. This study was designed as a randomized controlled trial to evaluate the effect of end-of-life care awareness training to be given to intensive care nurses on their knowledge levels, attitudes, and behaviors.
The sample of the study consisted of intensive care nurses working in the tertiary intensive care units of the University of Health Sciences Van Training and Research Hospital. Sampling calculation was done with G Power 3.1.9.7 package program. The number of nurses included in the study was calculated as a minimum of 34 nurses for each group with 80% power and 5% type 1 error, taking the study of Ghaemizade et al. (2022) as an example. However, in order to secure the sample number and to keep the power value high, the sample number was increased and a total of 76 nurses, including 38 nurses in each group, were included in the sample.
Randomization Method: After obtaining the permission of the ethics committee, patients who meet the inclusion criteria in the study and who have received written informed consent to participate in the study will be divided into two groups in equal numbers with the computer-based randomization method.
Statistical analyses were performed using the SPSS-22 package program. Kolmogorov-Smirnov test, skewness, and kurtosis values were used to test whether the data were normally distributed. Number, percentage, mean, standard deviation, median, and minimum-maximum values were used in descriptive statistics. Independent samples t-tests and chi-square tests were used to compare the demographic characteristics of the two groups. Independent samples t-test was used to compare the mean scores of the dependent variables (end-of-life care knowledge test, attitude, and behavior levels) of the two groups. The t-test for dependent samples and the ANOVA test were used to compare the mean scores of the dependent variables of each group at baseline and 4 weeks (±3 days) after the training (within-group differences). Following the analysis of variance, the "Tukey test" was used to determine different groups. Pearson correlation coefficients were calculated to determine the relationships between continuous measurements. The statistical significance level was taken as 5% in the calculations.
Inclusion Criteria:
Exclusion Criteria: