Author/Authors :
HA, Mei School of Nursing - Chongqing Medical and Pharmaceutical College, Chongqing0, PR China , QIAN, Xiaoling The Second Hospital of Lanzhou University, Lanzhou, PR China , YANG, Hong School of Nursing - Chongqing Medical and Pharmaceutical College, Chongqing0, PR China , HUANG, Jichun School of Nursing - Chongqing Medical and Pharmaceutical College, Chongqing0, PR China , LIU, Changjiang Key Lab of Birth Defects and Reproductive Health of National Health and Family Planning Commission - Chongqing Population and Family Planning Science and Technology Research Institute, Chongqing, PR China
Abstract :
Background: The public’s cognition of stroke and responses to stroke symptoms are important to prevent complica-tions and decrease the mortality when stroke occurs. The aim of study was to develop and validate the Chinese version of the Stroke Action Test (C-STAT) in a Chinese population.
Methods: This study was rigorously implemented with the published guideline for the translation, adaptation and va-lidation of instruments for the cross-cultural use in healthcare care research. A cross-sectional study was performed among 328 stroke patients and family members in the Department of Neurology in the Second Hospital of Lanzhou University, Gansu province, China in 2014.
Results: The Chinese version of the instrument showed favorable content equivalence with the source version. Values of Cronbach’s alpha and test-retest reliability of the C-STAT were 0.88 and 0.86, respectively. Principal component analysis supported four-factor solutions of the C-STAT. Criterion-related validity showed that the C-STAT was a sig-nificant predictor of the 7-item stroke symptom scores (R = 0.77; t = 21.74, P< 0.001).
Conclusion: The C-STAT is an intelligible and brief psychometrical tool to assess individuals’ knowledge of the ap-propriate responses to stroke symptoms in Chinese populations. It could also be used by health care providers to as-sess educational programs on stroke prevention.
Keywords :
Chinese populations , Stroke , Stroke action test , Reliability , Validity