医学
健康素养
肺结核
糖尿病
康复
物理疗法
读写能力
血糖
健康教育
顺从(心理学)
逻辑回归
肺结核
内科学
家庭医学
医疗保健
公共卫生
护理部
心理学
病理
经济
内分泌学
社会心理学
经济增长
教育学
作者
Xiuzhi Li,Junqin Li,Qiang Meng,Zhen Liang,Linmei Li,Rui-xing Shang
标识
DOI:10.3760/cma.j.issn.1008-6315.2016.05.002
摘要
Objective
To investigate the relationship among health literacy and treatment compliance and prognosis in patients with diabetes combined tuberculosis.
Methods
One hundred and eighty-one cases patients with diabetes combined tuberculosis were selected as the objectives and evaluated literacy level, compliance scale by the health literacy scale and compliance questionnaires.The control of tuberculosis, blood glucose control, treatment compliance and prognosis were analyzed in the patients with different health literacy level.
Results
Of 181 patients, there were 89 cases patients'(basic health literacy group) the total scores of health literacy and compliance were>80 points, the efficacy of pulmonary tuberculosis control and blood sugar control were respectively 84.2%(75/89) and 93.2% (83/89); 92 cases patients' the total scores of health literacy and compliance were ≤80 points, the efficacy of pulmonary tuberculosis control and blood sugar control were respectively 59.7%(55/92) and 67.4%(62/92), the differences were significant(χ2=12.78, 18.11; P<0.05). Pearson correlation analysis showed that the total scores of health literacy were positive correlated with the scores of treatment compliance(r=0.688, P<0.001). Logistic regression analysis showed that three dimension of health literacy(health knowledge and concept, healthy lifestyle and behavior, health skills) that can combined predict the variance of rehabilitation compliance(P<0.01).
Conclusion
The health literacy level of diabetes combined tuberculosis patients can effectively predict the rehabilitation compliance.Measures should be taken to improve the patient's level of health literacy, so as improve the compliance of rehabilitation and prognosis.
Key words:
Diabetes; Tuberculosis; Health literacy; Compliance
科研通智能强力驱动
Strongly Powered by AbleSci AI