Cluster-randomised controlled trial of Stroke 1-2-0 education programme to reduce stroke prehospital delay in China: a study protocol

Factors affecting stroke pre-hospital delay behavioral intention among community residents: A path analysis

BACKGROUND

Pre-hospital delay is the major cause of stroke treatment delay, and behavioral intention is considered to be the most direct predictor of behavior. Therefore, to effectively reduce stroke pre-hospital delay, it is essential to further understand the relationship between stroke pre-hospital delay intention (SPDBI) and its social-psychological influencing factors, namely personality traits, social support and coping style.

AIM

This study aims at examining the relationships among personality traits, coping style, social support, and SPDBI.

METHODS

A cross-sectional, self-administered questionnaire was distributed to 845 residents. The content of the questionnaire included demographic information, the knowledge of "Stroke 120", Ten-Item Personality Inventory-Chinese version, Simplified Coping Style Questionnaire, Perceived Social Support Scale and SPDBI Scale. Path analysis was used to investigate the relationship among SPDBI and its psychosocial influencing factors.

RESULTS

The final path model showed a good fit to the data (χ2/df = 2.981, RMSEA = 0.048, GFI = 0.936, CFI = 0.941). Extroversion (β = 0.106), positive coping (β = -0.110), negative coping (β = 0.150) and the knowledge of "Stroke 120" (β = -0.152) had only direct effects on SPDBI. While agreeableness (β = 0.113), openness (β = -0.121) and social support (β = -0.118) had direct effects on SPDBI, they also had indirect effects (β = -0.009; -0.022; -0.049) on SPDBI though positive coping.

CONCLUSIONS

Adequate social support and positive coping of health threat may reduce residents' SPDBI. Meanwhile, the interventions to reduce SPDBI should take personality differences into consideration.