#data #healthcare #python #group | 🗓️ | May 2024 - Jun 2024 | | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Team. | Hyseung Kim, Jisu Yoon, Youjee Oh | | Credit. | -Hyseung: Research, Crawling, Data analysis, Presentation<br>-Jusu: Research, Crawling, Data analysis, Statistics<br>-**Youjee: Research, Crawling, Data analysis, Statistics, Data visualizing** | | About. | The purpose of the project was to objectively identify problems based on data, rather than relying on the designer's intuition. It was carried out in data-based service design class, where we investigated mental healthcare using python to crawling youtube text data. | The number of people with severe mental illness in South Korea increased from 143,000 in 2013 to 175,000 in 2019, with an average annual growth rate of 3.4%. The age at which severe mental illnesses are diagnosed is decreasing, and bipolar disorder has seen a 10.2% increase compared to other disorders. Globally, psychological distress among adolescents has particularly risen. At least 13% of adolescents aged 10 to 19 worldwide are reported to be diagnosed with mental health disorders.  Mental health disorders among modern people continue to rise. We decided to identify and analyze the types of mental health disorders people experience, perceptions of mental illness, and awareness of the issues, using YouTube text data as the basis for our research. Our team composed of three people. and this project conducted during the Data based-service design class. all member participated in every stage of the process, from desk research to data analysis. with responsibilities divided among the team. <br> #### Desk Research Trend analysis through desk research  Human centered thinking based on trend analysis.  **After conducting desk research**, It predicted the policies and awareness would differ across countries. Collecting text data globally expected to be broad and time-consuming, so we decided to narrow the scope within the country. The next step was to ==**identify different perspectives on mental illness and metal health care**==, so we selected youtube videos to collect over 10,000 comments. <br> **YouTube Selection Criteria** 1. To figure out people's differing perspectives on mental illness and mental health, we searched using keywords such as "mental health," "depression," "mental illness in modern society," "mental illness crimes," "stress in modern life," "types of mental illness," and "mental illness awareness". 2. Collected data while considering both mild and severe mental illnesses to avoid bias toward either end of the spectrum. 3. Videos uploaded within the 4 years with at least 200 comments 5. To ensure diversity, avoiding duplication of channels. 6. Primarily selected videos with a high number of comments that revealed opinions or awareness about mental health and mental illness. <br> **Selected Youtube** - [정신건강특집] 우리는 왜 불안할까? 불안장애의 실체와 치료법 | 불안장애 연구의 세계적인 권위자 보르빈 반델로 강의 몰아보기  (10개월 전) [링크](https://www.youtube.com/watch?v=HPkfrbst_10) - 정신과 상담 고민이신 분들 필수 시청!🤔 정신과 비용, 보험, 항우울제 등 정신과에 관한 모든 걸 알려드립니다 👨‍⚕️[양브로의 정신세계] (11개월 전) [링크](https://www.youtube.com/watch?v=dH3dUtbzpUA) - 우울증을 겪고 있는 것은 당신의 탓이 아닙니다. 의지나 정신력으로 극복 불가한 우울증, 주변 사람이 "절대" 말하면 안 되는 금기어! [건강 읽어드립니다] | 노규식 박사 (2022. 9. 16.) [링크](https://www.youtube.com/watch?v=JQT1xFBtDE8) - 사람들이 잘 모르는 우울증 환자 감정의 실체! 정신과 의사가 알려드립니다 (2022. 9. 30.) [링크](https://www.youtube.com/watch?v=MZBTIt_lkwM) - 성인 ADHD 80%는 다른 정신질환을 동반한다 | ADHD 환자의 경험 | 씨리얼 시선 (2021. 7. 14.) [링크](https://www.youtube.com/watch?v=LptT728hqOc) - 정신과 의사가 알려주는 경계선 지능의 오해와 진실 (2022. 9. 23.) [링크](https://www.youtube.com/watch?v=_Z3B30lI9eg) - [고민사연] 의사에게 물어봤습니다. '우울증' 환자와 결혼해도 될까요? (2022. 4. 28.) [링크](https://www.youtube.com/watch?v=ZYnTwSsw3Qk) - "우울증 아니다" 2030에서 급증하고 있는 정신질환 (2022. 5. 26.) [링크](https://www.youtube.com/watch?v=FXsSrzy6JZY) - 대한민국 우울증 OECD 1위 (2022. 3. 15.) [링크](https://www.youtube.com/watch?si=eQ6xe5mk6T5gZSrn&v=SXl_pnG0j94&feature=youtu.be) - [홍혜걸의 인사이트 인터뷰] #12 조현병과 강박증에 대한 통찰 (서울대병원 권준수 교수 & 의학전문기자 홍혜걸) (2021. 6. 26.) [링크](https://www.youtube.com/live/i9peTnVxMeg) - 당신은 정말 ADHD인가? 뇌과학자가 정신질환 속 살아남는 방법 (2021. 12. 6.) [링크](https://www.youtube.com/watch?v=_zsv7nig9FA) - 다큐 시선 - 우리는 조현병 당사자입니다 (2019. 6. 27.) [링크](https://www.youtube.com/watch?v=d6hsrARS-oYㅅ) <br> ##### Text Data Crawling We crawled 10,032 comments, including replies, to use for the data analysis.  Since the spelling, spacing, and phrasing of words extracted from the comments varied, we had to standardize them, consolidate words with the same meaning, and remove stopword. 1. 띄어쓰기 통일 불안장애 = 불안 장애 공황장애 = 공황 장애 정신과 치료 = 정신과치료 우울증 = 우울 증 불안 요소 = 불안요소 약물치료 = 약물 치료 자살 시도 = 자살시도 정신과 병원 = 정신과병원 ADHD = adhd = Adhd 경계선지능장애 = 경계선 지능 장애 경계선지능 장애 = 경계선 지능 알콜중독 = 알콜 중독 심각한 경쟁 = 심각한경쟁 조현병 환자 = 조현병환자 정신건강 = 정신 건강 우울증 환자 = 우울증환자 우울 상태 = 우울상태 사회생활 = 사회 생활 심리치료 = 심리 치료 정신질환 = 정신 질환 정신과 의사 = 정신과의사 정신과 병원 = 정신과병원 정신 병원 = 정신병원 2. 단어 통일 자살률 = 자살율 경계선지능장애 = 경지 한국 = 대한민국 무기력 = 무기력증 정신과 = 정신병원 조울증 = 양극성장애 3. 불용어 선정 비누 감사합니다 말거라 좋겠어요 궁금하면 되요 해보셨나요 끼리 왔니 찾아보고는 려고 하는거 아님 아니잖아 재민 맞냐 보여주는건데 시키려고 힘내세요 난가 그냥 아닐까 하지말자 헷갈리게 쉽게 없으니 모르시면 제발 만들어라 보이는 여러 다르지 댓글 사네 찾아봐 저런거 시키면 걸리는 이었습니다 않나요 이런건 아니냐 본적 하는게 팔이 너무 알아서 많네요 해주면 잖아 망구 보면 ... 4. 형태소 사전에 신조어 추가 듄 = EBS 가스라이팅 인싸 아스퍼거 에이디에이치디 = adhd 엠지 = mz 자살 = ㅈㅅ 5. 형태소 분석  <br> ### Text Data Analysis **The analysis was conducted on a total 7,544 comments organized through previous process.** the comments were divided into 5 topics, spread across 4 sections.   After organizing main Keywords, Proportion, Coherence score for the five topics, **Topic1, Topic5** had the highest coherence scores (subject consistency) and proportion (document distribution by topic). so we focused more on Topic1 and 5 in the analysis compared to Topic 2, 3 and 4.  Topic insight were gathered by referring to the Perc_contribution score from the keywords for each topic and the related comments. as higher scores indicate more relevant comments supporting the keywords, we were able to focus the analysis on the most related comments for each topic.  <br> #### Visualize Data We compared and integrated the categorized insights to visualize key findings.  1. One of the unexpected results was that **personal stories were mentioned significantly** more often than societal systems. <br> ---  2. People often described their own experiences with a sense of uncertainty, whereas they tended to **share others’ experiences with much more certainty**. <br> ---  3. Perceptions of psychiatric care showed a similar balance of positive(17%) and negative views(10%), with neutral responses being the most common. In these case, people tended to focus primarily on sharing their personal experiences. <br> ---  4. Comments about mental illness were highly polarized between negative and positive views. Negative comments were typically stories about other people, while positive ones tended to share personal experiences or offer words of support. <br> ---  5. Positive and negative comments depending on mental illness types. While schizophrenia, depression, and borderline intellectual functioning drew mostly negative comments, ADHD showed a noticeably more positive tone, often framed through references to well-known public figures who have shared their experiences. <br> ---  6. Only 18% people who have experienced mental health issues use mental health platforms. The biggest reason for not seeking help was the belief that their condition wasn't serious to need treatment. --- #### Insight **Negative views on mental illness were mostly related to how others perceived it.** When it came to their own experiences, people often shared their stories or expressed support and empathy, reflecting a more positive perspective. In contrast, mental illness in others was often viewed negatively, likely because individuals felt it was unrelated to themselves. Additionally, when discussing their own symptoms of mental illness, people tended to use uncertain language. Further research revealed that even when experiencing mental health issues, the rate of utilizing mental health services was significantly low. However, when it came to symptoms in others, individuals often spoke with a more directly and were rush to make judgments. As a result, we identified that modern individuals may not have an accurate understanding of their own mental health, and it can be inferred that they afraid how others perceive them. This led us to raise the following issues. **Modern individuals need to have a clear understanding of their own mental state.** ADHD, depression, and paranoia are examples of mental illnesses that individuals might be experiencing without realizing or acknowledging them. **Because they don't think it's their issue**, they often lack empathy and view mental illness negatively. However, mental illness is something that **many modern individuals are actually experiencing, and its prevalence is increasing. If more people recognize that it is a condition anyone can face**, the negative perspective could diminish, and the barriers to seeking treatment could be reduced as well. --- We analyzed perspectives and differences of awareness of mental illness based on YouTube text data. While the data is limited to YouTube, expecting the investigation globally could provide different insights from each country. Especially in the case of the U.S, where the barrier to psychological counseling is lower compared to Korea. It would be interesting to compare the differences in system and public awareness. The process of finding design solutions based on the analysis was not included in this project. Instead, the focus was on handling and analyzing the text data, which was the primary goal of the project.