摘要
目的探讨对老年慢性阻塞性肺疾病(COPD)患者实施优质护理效果的相关因素。方法将130例COPD患者入院时均实施优质护理,出院时采用西雅图阻塞性肺疾病问卷(SOLDQ)评分,并根据其分值分观察组(≥240分)81例和对照组(<240分)49例。比较分析两组患者性别、年龄、病程、肺功能、住院天数、合并症等临床资料。结果观察组患者的病程、肺功能、加重次数、住院天数均低于对照组,文化程度高于对照组(P<0.05);两组患者的性别、年龄、合并症、陪护、吸烟史、居住地及饮食标准差异无统计学意义(P>0.05)。logistic回归分析显示COPD病程、肺功能、加重次数、住院天数与COPD患者实施优质护理的效果呈负相关(β=-0.67、-3.49、-1.01、-1.75,P<0.05)。结论老年COPD患者实施优质护理的效果与多种因素有关,肺功能可能是最重要的因素。
Objective To discuss the related factors of benefits in elderly patients with chronic obstructive pulmonary disease( COPD) and with the implementation of high-quality care. Methods The high-quality care was taken when hospitalized and the Seattle Obstructive Lung Disease Questionnaire( SOLDQ) ratings were used when discharged for 130 cases of patients with COPD,then they were divided into two groups according to their scores. Results The observation group( ≥240 minutes) had 81 cases and the control group( < 240 points)had 49 cases. The clinical data of two groups,such as the gender,age,disease duration,pulmonary function,length of stay,complications and so on were comparatively analysed. Results The duration,lung function,exacerbation and hospitalization days of the observation group were lower than those of the control group,and the education level was higher( P < 0. 05). Gender,age,complications,the nurses,smoking history,place of residence and dietary standards of the two groups showed no significant difference( P > 0. 05). Binary logistic regression analysis showed that the course of COPD,lung function,exacerbations,hospitalization days and the effect of quality care for patients with COPD were negatively correlated( β =- 0. 67,- 3. 49,- 1. 01,- 1. 75,P < 0. 05). Conclusion There are many related factors of the effect of implement the high-quality care for elderly patients with COPD,but the pulmonary function may be the most important factor.
出处
《安徽医学》
2016年第3期350-352,共3页
Anhui Medical Journal
关键词
西雅图阻塞性肺疾病问卷
慢性阻塞性肺疾病
优质护理
影响因素
Seattle Obstructive Lung Disease Questionnaire
Chronic obstructive pulmonary disease
High-quality care
Influencing factors
