Nadia Sedri, Mohammad Ali Zakeri, Hakimeh Sheykhasadi, Ala Shamsi, Hosna Akbari, Mostafa Hejazi, Asghar Tavan
{"title":"The relationship between the quality of oncology nursing care and the resiliency and hope of patients with cancer: a cross-sectional study.","authors":"Nadia Sedri, Mohammad Ali Zakeri, Hakimeh Sheykhasadi, Ala Shamsi, Hosna Akbari, Mostafa Hejazi, Asghar Tavan","doi":"10.12968/ijpn.2024.30.12.636","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Patients with cancer require emotional support in addition to specialised medical treatments for their physical ailments. The quality of nursing care, resilience and hope can influence a person's cancer trajectory, and understanding these factors and their relationship can be influential in improving the process for these patients.</p><p><strong>Aim: </strong>This study examined the relationship between the quality of oncology nursing care and resilience and hope in patients with cancer.</p><p><strong>Methods: </strong>The present study is a descriptive analytics study conducted on 160 patients with cancer from April-August 2023. The data collection tools included four questionnaires: a demographic information questionnaire, the Connor-Davidson Resilience Scale (CD-RSC), the Snyder Hope Scale, and the Oncology Nursing Care Quality Scale. The data were analysed using SPSS version 22 statistical software.</p><p><strong>Results: </strong>In examining the relationship between demographic 'variables' and 'resilience', marital status and place of residence had statistically significant correlations (P<0.05). Place of residence, education level, job and first cancer treatment (P=0.004) had statistically significant correlations with hope (P<0.05). There was no statistically significant relationship between the quality of oncology nursing (QON) and its domain with two variables: 'resilience' (P=0.76) and 'hope' (P=0.37). However, a statistically significant relationship existed between the variables 'resilience' and 'hope' (P<0.001). The linear regression model results showed that among the entered demographic variables, only the variable 'hope' predicted resilience (P<0.001; R=27%). Additionally, the 'resilience' variables (P<0.001) and the 'first cancer treated' variable (P=0.001; R=34%) were predictors of 'hope'.</p><p><strong>Conclusion: </strong>Given the interrelationship between 'resilience' and 'hope' for patients with cancer, it is necessary to focus on the factors that impact these qualities. In addition, paying attention to the concept of resilience can improve the level of hope in patients with cancer. Based on the results, it is recommended that interventions to increase QON in patients with cancer be planned and implemented.</p>","PeriodicalId":94055,"journal":{"name":"International journal of palliative nursing","volume":"30 12","pages":"636-645"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of palliative nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12968/ijpn.2024.30.12.636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Patients with cancer require emotional support in addition to specialised medical treatments for their physical ailments. The quality of nursing care, resilience and hope can influence a person's cancer trajectory, and understanding these factors and their relationship can be influential in improving the process for these patients.
Aim: This study examined the relationship between the quality of oncology nursing care and resilience and hope in patients with cancer.
Methods: The present study is a descriptive analytics study conducted on 160 patients with cancer from April-August 2023. The data collection tools included four questionnaires: a demographic information questionnaire, the Connor-Davidson Resilience Scale (CD-RSC), the Snyder Hope Scale, and the Oncology Nursing Care Quality Scale. The data were analysed using SPSS version 22 statistical software.
Results: In examining the relationship between demographic 'variables' and 'resilience', marital status and place of residence had statistically significant correlations (P<0.05). Place of residence, education level, job and first cancer treatment (P=0.004) had statistically significant correlations with hope (P<0.05). There was no statistically significant relationship between the quality of oncology nursing (QON) and its domain with two variables: 'resilience' (P=0.76) and 'hope' (P=0.37). However, a statistically significant relationship existed between the variables 'resilience' and 'hope' (P<0.001). The linear regression model results showed that among the entered demographic variables, only the variable 'hope' predicted resilience (P<0.001; R=27%). Additionally, the 'resilience' variables (P<0.001) and the 'first cancer treated' variable (P=0.001; R=34%) were predictors of 'hope'.
Conclusion: Given the interrelationship between 'resilience' and 'hope' for patients with cancer, it is necessary to focus on the factors that impact these qualities. In addition, paying attention to the concept of resilience can improve the level of hope in patients with cancer. Based on the results, it is recommended that interventions to increase QON in patients with cancer be planned and implemented.
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