Study On The Quality Of Life Assessment And Its Measures To Improve For The Poststroke Patients In The Community

Objective: To understand the quality of life and its influencing factorsamong poststroke patients in the Community, and to provide more effectiveand comprehensive interventions tailored to these patients for theirrehabilitation and quality of life.Methods: Nanchong City Municipality community was selected as thestudy site.182poststroke patients in total were collected for thiscross-sectional questionnaire survey, who were diagnosed duringhospitalization in two national Grade A tertiary general hospitals in NanchongCity from2008to2012. The SF-36scale, the Hospital Anxiety andDepression Scale, the Hamilton Anxiety Scale, the Hamilton DepressionRating Scale, the Activity of daily living scale (ADL) and the Disability ratingscale were used to measure the quality of life one patient to one patient. Thedata collected were input into a computer by Using SPSS19.0software and adatabase for each patient was subsequently established. The descriptivestatistics, univariate analysis, t test, multiple regression analysis, canonicalcorrelation analysis and other methods statistical analysis were adopted toprocesse these data.Results: The quality of life in poststroke patients was below thereference value evaluated by SF-36scale.It was significantly lower than thatof the urban and rural residents in Sichuan Province (P <0.000). The impactof stroke on the patient’s quality of life is mainly reflected in four dimensions:the physical health, general health, physical role function and emotional rolefunction, but little effect on the patient’s social function and mental health. Poststroke Patients ’ quality of life had negative correlation with the patient’sage and degree of education, and positive correlation with the marital status ofthe patient, the activities of daily living and the average monthly householdincome, but had little correlation with patient’s gender, occupation, type ofmedical insurance and whether they had received health education aboutstroke. Among the poststroke patients studied,37.36%had varying degrees ofdepression;61.54%had varying degrees of decline in the activities of dailyliving;86.8%had varying degrees of disability or dysfunction. The canonicalcorrelation coefficient of poststroke patient’s quality of life with the SF-36scale was0.873, indicating that the SF-36scale worked better in reflecting thepoststroke patients’quality of life in the community.Conclusion: SF-36scale is capable of evaluating the poststroke patients’physiological, psychological and social functional status comprehensively andaccurately, and truly reflecting the quality of life in real life after the patientswith stroke returned from their clinical treatment and rehabilitation, which isin line with the requirements of the bio-psycho-social medical model. Thepoststroke patients in community need more social and family support,psychological counseling and humanistic care, which may help to prevent orreduce recurrent stroke, effectively improve the poststroke patients’quality oflife.