Confidence and Educational Needs of Palliative Care in Oncology Nurses Caring for Patients with Advanced Cancer in a Teaching Hospital: A Cross-Sectional Study
Nada Hamad Almutairi,
Rana Abdullah Alsubhi,
Lama Hikmat Ghurab,
Shahad Atyan Almalki,
Dhuha Youssef Wazqar
Issue:
Volume 12, Issue 4, August 2023
Pages:
69-79
Received:
17 May 2023
Accepted:
28 July 2023
Published:
4 August 2023
Abstract: Background: Palliative care can improve terminally ill patients’ quality of life. Despite the rising interest in palliative care for patients with cancer, the palliative care skills, and levels of confidence of oncology nurses who care for those patients have rarely been studied in developing countries, such as Saudi Arabia. Aim: To assess the confidence and educational needs of palliative care in oncology nurses who are caring for patients with advanced cancer in a teaching hospital in Jeddah, Saudi Arabia. Method: A quantitative, descriptive cross-sectional design was carried out on 108 oncology nurses who were working in oncology, medical, and daycare units in a teaching hospital. Palliative Care Self-Efficacy Scale and socio-demographic survey were used to collect data. Data were analyzed using IBM SPSS version 25.0. Results: The results showed that the confidence level of palliative care is moderate (M=30.36, SD=2.53). Nurses were less confident and needed education in discussing patients' wishes after death. There were significant differences in the levels of confidence in palliative care according to marital status, country, and period of working in oncology units or with cancer patients (p<.005). Conclusion and Recommendations: The current study contributes to the empirical literature on oncology and palliative care nursing in Saudi Arabia and sheds light on the impotence of palliative care educational programs. Adequate guidance should be available to support the establishment of effective palliative care education programs to improve the level of confidence and cover the educational needs of oncology nurses.
Abstract: Background: Palliative care can improve terminally ill patients’ quality of life. Despite the rising interest in palliative care for patients with cancer, the palliative care skills, and levels of confidence of oncology nurses who care for those patients have rarely been studied in developing countries, such as Saudi Arabia. Aim: To assess the conf...
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Construction of Risk Prediction Model for Lower Extremity Deep Vein Thrombosis in Patients with Decompensated Cirrhosis
Lingling Lin,
Zhongqiu Lu,
Liyang Hu
Issue:
Volume 12, Issue 4, August 2023
Pages:
80-86
Received:
21 July 2023
Accepted:
5 August 2023
Published:
15 August 2023
Abstract: Objective: To develop a prediction model for the risk of lower extremity deep venous thrombosis (DVT) in patients with decompensated liver cirrhosis. Methods: A retrospective study was conducted on 236 inpatients with decompensated cirrhosis who were admitted to the Department of Infectious Diseases of a tertiary grade A comprehensive hospital in Wenzhou from January 2018 to December 2021. A risk prediction model was established by univariate analysis and binary logistic regression, and the effectiveness of the model was verified by the area under the ROC curve. Results: The DVT risk prediction model of patients with decompensated liver cirrhosis included 5 predictors: age (OR= 4.377), BI score (OR= 0.946), bedridden time (OR=5.229), CRP value (OR=1.021) and D-dimer concentration (OR=1.216). Model formula: Z=1.227+1.476× age-0.056 ×BI score +1.654× bedridden time+ 0.020×CRP +0.196× D-dimer. The AUC is 0.921, the sensitivity is 0.797, the specificity is 0.949, and the Youden index is 0.746. Validation with 57 cases showed that the AUC is 0.866, the sensitivity is 0.807, the specificity is 0.842, and the accuracy rate is 81.58%, indicating satisfactory prediction effects. Conclusion: The risk assessment model constructed in this study shows good predictive performance, which can provide reference for clinical medical staff to assess the risk of DVT in patients with decompensated liver cirrhosis.
Abstract: Objective: To develop a prediction model for the risk of lower extremity deep venous thrombosis (DVT) in patients with decompensated liver cirrhosis. Methods: A retrospective study was conducted on 236 inpatients with decompensated cirrhosis who were admitted to the Department of Infectious Diseases of a tertiary grade A comprehensive hospital in W...
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