高血压患者随访效果的影响因素的分析

目的探讨影响社区高血压患者随访效果的相关因素，为以后高血压的防治工作提供科学的参考依据。方法从2012年9月-2013年3月，根据《国家基本公共卫生服务规范（2011年版）》中关于高血压患者健康管理服务规范，对本社区702例高血压患者进行了随访。随访效果将从心理调整、服药依从性、遵医行为、随访分类控制是否满意4个方面进行说明。采用Х^2检验、Logistie回归等统计方法分析影响随访效果的相关因素。结果单因素的结果显示，心理调整与职业（Х^2=19．48，P=0．003），兄弟姐妹高血压（家族史）（Х^2=8．56，P：0．014），锻炼频率（Х^2=11．29，P=0．023），健康评价（Х^2=14．59，P=0．001）有关；遵医行为与职业（Х^2=19．84，P=0．003），兄弟姐妹高血压（家族史）（Х^2=8．15，P=0．017），健康评价（Х^2=9．64，P=0．008）有关；服药依从性与婚姻状况（Х^2=6．87，P=0．009）。健康评价（Х^2=24．09，P〈0．001）有关；随访分类控制是否满意与职业（Х^2=11．44，P=0．010），每次锻炼时间（Х^2=13．83，P=0．001），饮酒频率（Х^2=5．11，P=0．078），随访间隔时间天数（Х^2=12．48，P=0．002），健康评价（Х^2=54.91，P〈0．001）有关。把单因素有意义的变量纳入Logistic回归，结果显示，职业、家族史、锻炼频率、健康评价均能影响随访的效果。结论社区高血压患者的随访效果与职业、家族史、锻炼频率、健康评价等有关。

Analysis of influential factors for the follow-up effect of hypertension

Objective To explore the influencing factors of the follow-up effect among hypertension patients in community. To provide scientific reference for the prevention and treatment of hypertension in the future. Methods According to the National Basic Public Health Service Specification （2011 edition）, 702 hypertension patients were followed up from September, 2012 to March, 2013. Follow-up effect was demonstrated in four aspects, including mental adjust- ments, complianee behavior, medication compliance and classification of follow-up control. Chi-square, logistic regression and other statistical methods were used to analyze the related factors. Results In the univariate analysis, mental adjust- ments was related with profession （X^2 = 19.48, P = 0. 003）, brothers and sisters hypertension （Family history） （X^2 = 8. 56, P = 0. 014）, exercise frequency （X^2 = 11, 29, P = 0. 023） and health assessment （X^2 = 14. 59, P = 0. 001 ）. Compliance behavior was related with profession （ （X^2= 19. 84, P = 0. 003 ）, brothers and sisters hypertension （ Family history） （ （X^2 = 8. 15, P = 0. 017） and health assessment （ （X^2 = 9. 64, P = 0. 008）. Medication compliance was related with marital status （ ;（2 = 6. 87, P = 0. 009 ） and health assessment （ X^2 = 24. 09, P 〈 0. 001 ）. Classification of follow-up control was related with profession （X^2 = 11, 44, P =0. 010）, duration of exercise for each time （X^2 = 13.83, P = 13.83）, drinking frequency （ X^2 = 5.11, P = 0, 078 ）, interval days of follow-up （X^2 = 12.48, P = 0. 002） and health assessment （X^2 = 54. 91, P 〈0. 1301 ）. The Logistic regression including the meaningful single factor variables showed that profession, family history, exercise frequency and health assessment can influence the effect of the follow-up. Conclusions The effect of the follow-up among hypertension patients in community was related with profession, family history, exercise frequency and health assessments.