Model test to improve self-management behavior of middle-aged stroke patients: based on the integration of health belief model and planned behavior theory / 中国实用护理杂志

ABSTRACT

Objective To examine the integrated model of self-management behavior in middle-aged stroke patients based on health belief model and planned behavior theory. Methods A self- designed general information questionnaire, self- management behavior cognition and attitude questionnaire and self-management behavior scale, were used to investigate 654 cases of first middle-aged stroke patients in the neurology department of 3 grade a hospitals in Qingdao. Results The standardization factor load of each theoretical dimension in the theoretical integration model was 0.51-0.91 (0.72±0.11). Behavioral intention had a direct positive predictive effect on self-management behavior, with an effect value of 0.49 (t=7.41, P<0.01). Perceived behavior control not only had a direct positive prediction effect on self-management behavior, but also indirectly influenced self-management behavior through behavioral intention. The effect values are 0.12 (t=2.75, P<0.05) and 0.04 (t=2.18, P<0.05), respectively. Behavioral attitude exerts influence on self- management behavior through behavioral intention, and the effect value is 0.40 (t = 14.71, P < 0.01). Subjective norms not only influenced self-management behavior through behavioral intention, but also indirectly influenced behavioral intention and self-management behavior through behavioral attitude, with the effect value of 0.25. The effects of perceived benefits and perceived severity on self-management behaviors were 0.21 and 0.04, respectively. The theoretical integration model can explain 62% variance variation of self-management behavior. Conclusion The theoretical integration model of self-management behavior of middle-aged stroke patients based on the health belief model and planned behavior theory can better explain the behavior. This model can be applied to stroke patients in an attempt to provide theoretical basis for the formulation of personalized nursing measures for stroke patients.