THE DEVELOPMENT OF RISK COMMUNICATION MODELS WITH LOCAL LANGUAGE TO PERCEIVE AND REMEMBER STROKE WARNING SIGNS OF STROKE RISK GROUPS, IN CHANUMAN DISTRICT, AMNAT CHAROEN PROVINCE

Abstract

This action research aimed to study the results of the development of risk communication models with local language to perceive and remember stroke warning signs in stroke risk groups of Chanuman District, Amnat Charoen Province. The sample size was 60 people classified as a group that received the Isan and Phu-Thai language communication models, 30 people per group. Research instruments include model developers and risk groups. The confidence values of risk communication models with Isan and Phu-Thai language 0.92 and 0.94, respectively. Data was collected by using a perceive and remember stroke warning signs test. Analyses general data with descriptive statistics such as frequency, percentage, average and standard deviation. Inferential statistics have been used with the Paired Sample T-test.

The results of a communication model 1) By using folk media posters about stroke warning signs in the local language and showing pictures of stroke symptoms 2) Put the poster on the house of risk group and communicate through the VHV. As a result, most of the samples were female. The average age was 40-60 years old and above, and the underlying disease was hypertension. All risk groups have a high level of perception and the average score of perception of warning signs increased statistically significantly at the p-value of 0.05 The developed media allowed the risk group to remember stroke warning symptoms for 5 words, 66.7 %. Therefore, the developing risk communication method should be applied and adapted to communicate the risk of other important health problems.