The model to reduce social stigma against COVID-19 patients in the community: A Case Study
DOI:
https://doi.org/10.14456/dcj.2022.64Keywords:
COVID–19, social stigma, social network participation, research and developmentAbstract
This research and development aimed to study a model for reducing social stigma against COVID-19 patients in the community by case study. The process consists of four steps: 1) the study of the problem of social stigma; 2) the development of the model; 3) the application of the model; 4) the effect of using the model. Data were collected from a total of 16 COVID-19 patients who had fully recovered and were recuperating at home. All samples were purposive sampling. Study tools included in-depth interview, stress assessment, and resilience and social stigma questionnaires. Quantitative data were analyzed using frequency, percentage, mean, standard deviation, and paired t-test statistics, while qualitative data were analyzed by content analysis. The results revealed that 1) the model has an important strategy as follows: Organizing a variety of proactive activities to build knowledge, enhance understanding of COVID-19, change social attitudes about COVID-19, and reduce bias in interactions with people who have been sick to ensure stigma-free coexistence. In addition, the knowledge about COVID-19 was also provided through the broadcasting tower in the village and the use of mobile unit (similar to that of the campaign of local politicians). This public awareness campaign was further strengthened by public health volunteers going from door to door to educate villagers and putting up publicity signs in front of the village to show love and concerns for each other. A Happiness Center was established in the village to serve as a coordination center for assistance and consultation. Furthermore, following discharge, home visits were regularly conducted by hospital staff. 2) After using the model, it was found that the sample group had higher resilience and lower stress and social stigma. When comparing the mean scores, there was a statistically significant difference of 0.05. Therefore, the model can help reduce social stigma and, in turn, also helps to reduce conflicts in the community, thereby restoring happiness and normal coexistence faster.
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