Chatbots for Depression Awareness Management According to Depression Evaluation 2Q, ST-5 and 9Q of Department of Mental Health, Ministry of Public Health

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Sapee-e Samoh
Taveevut Nakomah
Apat Palawan
Sureena Matayong


          The rate of depression in Thailand tends to increase every year. In general, people with depression disease tend to experience depression insignia first. Then, the symptom develops into more serious which affects the daily life of the patient. Consequently, awareness of depression is important in primary management of the disease to help prevent and alleviate its worsening symptoms. The objectives of this study are to 1) develop an innovative chatbot for managing depressive awareness and assess usability, and 2) to compare the mean depressive scores between 2 groups who used and do not use the innovative chatbot dependently and independently before and after the experiments. From a simple random sampling of the innovative chatbot users who were having regular stress problems, aged 27-45 years old. They were screened for depressive symptoms according to the 2Q, 9Q and ST-5 criteria of the Department of Mental Health. This process is performed to select only the sample group at the symptom level that can be self-treated, no need to see a doctor for treatment. The sample of 100 people are divided into 2 groups with 50 people in each group. The chatbot innovation experimental group was treated with stress relief by watching video clips. The control group used a stress relief method from the website. The experiment time is 3 weeks. Then, depressive symptoms will be assessed for further conclusions. In addition, the sample group had answered the questionnaires to assess the chatbot usability. The descriptive statistics analysis of the usability assessment of the chatbot innovation in terms of effectiveness, efficiency, coverage, integrity, learning and usability had a high overall score (gif.latex?\dot{\tilde{x}}= 4.39, S.D.= 0.38). For the results of Inferential statistical analysis using the mean before and after in the same sample (Paired-Sample t-Test) found that both groups had a statistically significantly different mean score of .05. The experimental group has the score before experiment as (gif.latex?\tilde{x}= 17.28, S.D.= 1.59) and after the experiment were = 11.18, S.D.= 1.54. The mean scores for the control group were gif.latex?\bar{x}= 14.54, S.D.=2.57 and after the experiment were gif.latex?\tilde{x}= 12.42, S.D.= 1.37. The results of the comparison of the difference between the chatbots users group and the non-users with independent-Sample t-test found that the mean score after the experiment of the experimental group was significantly lower than the mean score of the control group with mean scores of 11.18 and 12.42 with a statistical significance of .05. Therefore, it can be concluded that the chatbot innovation can be used to manage awareness about depression according to the Department of Mental Health Depression 2Q, ST-5 and 9Q assessment criteria, Ministry of Public Health for stress reduction therapy.


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Samoh, S.- e ., Nakomah, T. . ., Palawan, A. ., & Matayong, S. . (2022). Chatbots for Depression Awareness Management According to Depression Evaluation 2Q, ST-5 and 9Q of Department of Mental Health, Ministry of Public Health. JOURNAL OF SOUTHERN TECHNOLOGY, 15(1), 39–54. Retrieved from
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