家庭适应能力
医学
随机对照试验
心理弹性
干预(咨询)
弹性(材料科学)
萧条(经济学)
临床心理学
护理部
心理学
内科学
社会心理学
热力学
物理
宏观经济学
经济
作者
Mina Park,Sunah Kim,Hyejung Lee,Yoon Jung Shin,Chuhl Joo Lyu,Eun Kyoung Choi
标识
DOI:10.1016/j.ejon.2023.102332
摘要
The diagnosis of cancer in children can negatively impact their parents, owing to the complex treatment processes. Families with high levels of resilience can overcome these difficulties and thus perform higher family functions. We aimed to develop an internet-based family resilience-promoting program for parents of children with cancer and evaluate its effect on the levels of family resilience, depression, and family function.This prospective, parallel-group, randomized-controlled study that was conducted at Yonsei Cancer Center from June to October 2021 included 41 parents of children with cancer. In total, four sessions of the internet-based family resilience-promoting program, led by a nurse, were conducted individually for parents. Levels of family resilience, depression, and family function were measured before, immediately after, and 4 weeks after the program. The data were analyzed using the linear mixed-effect model, and program satisfaction was evaluated through an internet-based questionnaire and interview.The experimental group (the family resilience-promoting program participants) differed more significantly from the control group in the level of change in family resilience (β = 13.214, p = 0.003, effect size = 0.374) and family function (β = 1.256, p = 0.018, effect size = 0.394). However, there was no significant difference between the groups in the level of depression (β = 2.133, p = 0.187, effect size = 0.416). All the program participants showed a high program satisfaction score of 4.75 out of 5.00 points overall.The applicability of the internet-based family resilience-promoting program as an appropriate nursing intervention was verified. Its application can help the families of children with cancer adapt to the stressful situation of their children's cancer diagnosis and treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI