上海交通大学学报（医学版）

›› 2013, Vol. 33 ›› Issue (5): 531-.doi: 10.3969/j.issn.1674-8115.2013.05.002

• 专题报道（临床护理与管理） • 上一篇    下一篇

家庭照护对慢性病患儿家庭功能的影响

张 莹1, 魏 珉2, 章雅青1, 沈南平3   

  1. 1.上海交通大学 护理学院, 上海 200025； 2.北京协和医院儿科, 北京 100730； 3.上海交通大学 医学院附属儿童医学中心护理部, 上海 200127
  • 出版日期:2013-05-28 发布日期:2013-05-28
  • 作者简介:张 莹（1973—）, 女, 讲师, 博士； 电子信箱: zhying@shsmu.edu.cn。
  • 基金资助:

    上海市教委科研创新项目(12YS029)；上海市重点课程建设；上海交通大学医学院基金（YZ1016, JYh1008）；国际护理学会荣誉学会和国际护理博士教育联盟联合主办的护理博士后培训基金

Impact of family management on family functioning of families with chronically ill children

ZHANG Ying1, WEI Min2, ZHANG Ya-qing1, |SHEN Nan-ping3   

  1. 1.School of Nursing, Shanghai Jiaotong University, Shanghai 200025, China； 2.Department of Pediatrics, Peking Union Medical College Hospital, Beijing 100730, China； 3.Department of Nursing, Shanghai Children´s Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai 200127, China
  • Online:2013-05-28 Published:2013-05-28
  • Supported by:

    Innovation Program of Shanghai Municipal Education Commission, 12YS029；Shanghai Key Discipline Construction Project； Foundation of Shanghai Jiaotong University School of Medicine, YZ1016, JYh1008； International Postdoctoral Fellowship in Nursing, Sponsored Jointly by INDEN and Sigma Theta Tau International

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摘要：

目的 探讨家庭照护对慢性病患儿家庭功能的影响，为有针对性地进行家庭干预提供依据。方法 选择北京和上海7家医院的618名慢性病患儿家属为研究对象，采用家庭照护和Feetham家庭功能量表对其进行调查。采用单因素方差及相关性检验分析家庭照护和家庭功能的影响因素，从单因素分析结果中选择P<0.05的变量建立多元分层回归模型。结果 患儿认可、疾病负担、生活困难、家长关系、居住城市、母亲在职、病程＜1年和疾病种类（遗传性或泌尿系统疾病）是家庭功能的预测因素。结论 家庭照护是影响慢性病患儿家庭功能的重要因素，着重改善家庭照护过程中的关键环节，能直接影响家庭功能的发挥。

关键词: 家庭照护, 慢性病, 儿童, Feetham家庭功能量表, 家庭功能

Abstract:

Objective To investigate the impact of family management on family functioning of families with chronically ill children, and provide evidence for tailored family intervention. Methods A total of 618 primary caregivers for chronically ill children from 7 hospitals in Beijing and Shanghai were selected, and were surveyed with family management measure and Feetham family functioning survey. The influencing factors of family management and family functioning were identified by univariate analysis and correlation analysis, and the variables with P<0.05 in previous analysis were selected to enter the multiple regression model. Results Child´s daily life, condition management effort, family life difficulty, parental mutuality, living in urban area, employed mother, duration of condition (<1 year) and diagnosis (renal disorder or genetic condition) were predictors of family functioning. Conclusion Family management is an important determinant of family functioning. Improving the key aspects of family management may directly affect family functioning.

Key words: family management, chronic disease, child, Feetham family functioning survey, family functioning