복식문화연구 (The Research Journal of the Costume Culture)

  • 제32권5호
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  • Pages.636-652
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  • 2024
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  • 1226-0401(pISSN)
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  • 2383-6334(eISSN)
복식문화학회 (The Costume Culture Association)
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Functional and safety considerations in patient clothes during pandemic - An infodemiological network analysis and LDA topic modeling -

  • Yeong-Hyeon Choi (College of Business and Technology, Seoul National University of Science and Technology) ;
  • Jaemyoung Choi (Dept. of Data Science, Seoul National University of Science and Technology) ;
  • Saram Han (College of Business and Technology, Seoul National University of Science and Technology)
  • 투고 : 2024.08.21
  • 심사 : 2024.10.06
  • 발행 : 2024.10.31
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초록

This study analyzes the discourse of Korean internet users regarding patient clothing and identifies the changes to structure and content of clothing resulting from infectious disease outbreaks. The analysis draws on texts from Korean blogs, internet cafes, and news articles from 2011 to 2021 related to patient clothing. Using Ucinet 5 and NodeXL 1.0.1 programs, network density, centrality, and cluster analyses were conducted using the Wakita-Tsurumi algorithm. Additionally, Latent Dirichlet Allocation (LDA) topic modeling was applied using Python 3.7 to further explore thematic patterns within the discourse. Throughout the period of study, it was found that users consistently discussed the specific purpose and functionality of patient clothing. Following the outbreak of COVID-19, the distribution and influence of keywords related to the functional aspects of patient clothing, such as "hygiene and safety," significantly increased. An increased focus was placed on elements such as functionality, activity, autonomy, hygiene, and safety during the pandemic as public health concerns grew. It can be seen that patients increasingly share their experiences online and hospitalization rates surge during health crises; this study provides valuable insights into how the design of patient clothing can be improved through various informatics techniques. It underscores the evolving perception of patient clothing as essential medical equipment during health emergencies. In addition, it offers practical guidance for enhancing designs that better reflect shifting societal concerns, particularly regarding health, safety, and patient comfort.

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참고문헌

  1. Abbasi, A., Hossain, L., & Leydesdorff, L. (2012). Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Informetrics, 6(3), 403-412. doi:10.1016/j.joi.2012.01.002 
  2. Abd-Alrazaq, A., Alhuwail, D., Househ, M., Hamdi, M., & Shah, Z. (2020). Top concerns of tweeters during the COVID-19 pandemic: Infoveillance study. Journal of Medical Internet Research, 22(4), e19016. doi:10.2196/19016 
  3. Ahmed, W., Vidal-Alaball, J., Downing, J., & Segui, F. L. (2020). COVID-19 and the 5G conspiracy theory: Social network analysis of Twitter data. Journal of Medical Internet Research, 22(5), e19458. doi:10.2196/19458 
  4. Alebiosu, Y. O., Ogundokun, M. O., & Raji, M. N. (2021). Emotional intelligence and corona-phobia: The moderating influence of age, family, and gender. Journal of Multicultural Studies in Guidance Counseling, 6(1), 86-100. doi:10.17509/jomsign.v6i1.37697 
  5. Andrzejewski, D., Mulhern, A., Liblit, B., & Zhu, X. (2007). Statistical debugging using latent topic models. Machine Learning: ECML 2007, 4701, 6-17. doi:10.1007/978-3-540-74958-5_5 
  6. Bae, H.-S., Park, H.-W., Ryou, E.-J., & Jeong, K.-M. (2008). Improvement of hygienic characteristics of material for patients' clothing through treatment with chitosan/nanosilver mixed solution. Journal of the Korean Society of Clothing and Textiles, 32(12), 1848-1856. doi:10.5850/JKSCT.2008.32.12.1848 
  7. Barros, B., Conejo, R., Ruiz-Sepulveda, A., & Triguero-Ruiz, F. (2021). I explain, you collaborate, he cheats: An empirical study with social network analysis of study groups in a computer programming subject. Applied Science, 11(19), 9328. doi:10.3390/app11199328 
  8. Bavelas, A. (1950). Communication patterns in taskoriented groups. The Journal of the Acoustical Society of America, 22(6), 725-730. doi:10.1121/1.1906679 
  9. Black, S., Kapsali, V., Bougourd, J., & Geesin, F. (2005). Fashion and function: Factors affecting the design and use of protective clothing. In R. A. Scott (Ed.), Textiles for protection (pp. 60-89). Cambridge: Woodhead Publishing Limited. 
  10. Black, S., & Torlei, K. (2013). Designing a new type of hospital gown: A user-centered design approach case study. Fashion Practice, 5(1), 153-160. doi:10.2752/175693813X13559997789005 
  11. Blei, D. M. (2012). Probabilistic topic models. Communications of the ACM, 55(4), 77-84. doi:10.1145/2133806.2133826 
  12. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of Machine Learning Research, 3, 993-1022. 
  13. Boon-Itt, S., & Skunkan, Y. (2020). Public perception of the COVID-19 pandemic on Twitter: Sentiment analysis and topic modeling study. JMIR Public Health and Surveillance, 6(4), e21978. doi:10.2196/21978 
  14. Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge: Harvard University Press. 
  15. Chang, S. R. (2010). A proposed textile design for the uniform of hospitalized patients. Unpublished doctoral dissertation, Kyung Hee University, Seoul, Korea. 
  16. Choi, Y.-H., & Lee, K.-H. (2020). Changes in consumer perception of fashion products in a pandemic: Effects of COVID-19 spread. The Research Journal of the Costume Culture, 28(3), 285-298. doi:10.29049/rjcc.2020.28.3.285 
  17. Choi, Y.-H., Yoon, S., Xuan, B., Lee, S.-Y. T., & Lee, K.-H. (2021). Fashion informatics of the Big 4 fashion weeks using topic modeling and sentiment analysis. Fashion and Textiles, 8, 33. doi:10.1186/s40691-021-00265-6 
  18. Chung, I. H., & Lee, Y.-J. (2010). Consumer satisfaction with medical services and hospital patient gowns. Journal of the Korean Society of Clothing and Textiles, 34(3), 401-410. 
  19. Cogan, N., Morton, L., & Georgiadis, E. (2019). Exploring the effect of the hospital gown on wellbeing: A mixed methods study. The Lancet, 394(2), S32. doi:10.1016/S0140-6736(19)32829-6 
  20. Davis, F. (2013). Fashion, culture, and identity. Chicago: University of Chicago Press. 
  21. De Pablo, G. S., Vaquerizo-Serrano, J., Catalan, A., Arango, C., Moreno, C., Ferre, F., ... Fusar-Poli, P. (2020). Impact of coronavirus syndromes on physical and mental health of health care workers: Systematic review and meta-analysis. Journal of Affective Disorders, 275, 48-57. doi:10.1016/j.jad.2020.06.022 
  22. De Melo, T., & Figueiredo, C. M. S. (2021). Comparing news articles and tweets about COVID-19 in Brazil: Sentiment analysis and topic modeling approach. JMIR Public Health and Surveillance, 7(2), e24585. doi:10.2196/24585 
  23. Deriba, B. S., Geleta, T. A., Beyane, R. S., Mohammed, A., Tesema, M., & Jemal, K. (2020). Patient satisfaction and associated factors during COVID-19 pandemic in North Shoa health care facilities. Patient Preference and Adherence, 14, 1923-1934. doi:10.2147/PPA.S276254 
  24. Despond, O., Buchser, E., Sprunger, A. L., & Sloutkis, D. (1999). Influence of patient's dressing on spontaneous physical activity and length of hospital stay in surgical patients. Sozialund Praventivmedizin, 44(1), 8-13. doi:10.1007/BF01624805 
  25. Efron, B. (1981). Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods. Biometrika, 68(3), 589-599. doi:10.1093/biomet/68.3.589 
  26. Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. doi:10.1016/0378-8733(78)90021-7 
  27. Gordon, L., & Guttmann, S. (2013). A user-centered approach to the redesign of the patient hospital gown. Fashion Practice, 5(1), 137-151. doi:10.2752/175693813X13559997788961 
  28. Granzow, J. W., Smith, J. W., Nichols, R. L., Waterman, R. S., & Muzik, A. C. (1998). Evaluation of the protective value of hospital gowns against blood strike-through and methicillin-resistant Staphylococcus aureus penetration. American Journal of Infection Control, 26(2), 85-93. doi:10.1016/S0196-6553(98)80027-8 
  29. Ha, K.-M. (2022). Changes in awareness on face mask use in Korea. Public Health Nursing, 39(2), 506-508. doi:10.1111/phn.12988 
  30. Hangulu, L., & Akintola, O. (2017). Health care waste management in community-based care: Experiences of community health workers in low resource communities in South Africa. BMC Public Health, 17, 448. doi:10.1186/s12889-017-4378-5 
  31. Heo, Y. J., Nam, S. H., Jeong, J. S., & Kim, Y. H. (2021). A comparison of the perception of and adherence to the COVID-19 social distancing behavior guidelines among health care workers, patients, and the general public. Journal of Korean Biological Nursing Science, 23(1), 55-63. doi:10.7586/jkbns.2021.23.1.55 
  32. Hoyer, C., Ebert, A., Szabo, K., Platten, M., Meyer-Lindenberg, A., & Kranaster, L. (2021). Decreased utilization of mental health emergency service during the COVID-19 pandemic. European Archives of Psychiatry and Clinical Neuroscience, 271, 377-379. doi:10.1007/s00406-020-01151-w 
  33. Hwang, H. Y., Song, J. A., & Song, J. H. (1998). A study on developing free size patient clothing. Quality Improvement in Health Care, 5(1), 92-104. 
  34. Hyun, K. D., Jung, N., & Seo, M. (2020). Examining the effects of perceived partisan slants of news and user comments from portal news sites on portal new trust, third person perception and selective exposure. Korean Journal of Journalism & Communication Studies, 64(4), 247-288. doi:10.20879/kjjcs.2020.64.4.007 
  35. Inn, H. J. (2008). Medical brand marketing. Seoul: Beautiful People Books. 
  36. Jankovska, D. (2015). Identifying fit issues for the one-size-fits-all hospital patient gown: An anthropometric approach. Unpublished doctoral dissertation, Colorado State University, Colorado, USA. 
  37. Jankovska, D., & Park, J. (2019). A mixed-methods approach to evaluate fit and comfort of the hospital patient gown. International Journal of Fashion Design, Technology and Education, 12(2), 189-198. doi:10.1080/17543266.2018.1551942 
  38. Jelodar, H., Wang, Y., Yuan, C., Feng, X., Jiang, X., Li, Y., & Zhao, L. (2019). Latent Dirichlet Allocation (LDA) and topic modeling: Models, applications, a survey. Multimedia Tools and Applications, 78, 15169-15211. doi:10.1007/s11042-018-6894-4 
  39. Kang, H., & Yang, J. (2018). The analogy test set suitable to evaluate word embedding models for Korean. Journal of Digital Contents Society, 19(10), 1999-2008. doi:10.9728/dcs.2018.19.10.1999 
  40. Karim, N., Afroj, S., Lloyd, K., Oaten, L. C., Andreeva, D. V., Carr, C., ... Novoselov, K. S. (2020). Sustainable personal protective clothing for healthcare applications: A review. ACS Nano, 14(10), 12313-12340. doi:10.1021/acsnano.0c05537 
  41. Kernaleguen, A. (1978). Clothing designs for handicapped. Edmonton: The University of Alberta Press. 
  42. Knoke, D., & Yang, S. (2008). Social network analysis. Thousand Oaks: Sage Publications.
  43. Kwahk, K. Y. (2014). Social network analysis. Seoul: Crbooks. 
  44. Kwan, A. C., Hardy, H., & Siegel, R. J. (2021). When the outpatient physical exam returns, what should it look like?. International Journal of Clinical Studies and Medical Case Reports, 13(5), 1-2. doi:10.46998/IJCMCR.2021.13.000322 
  45. Lee, W., & Lee, H. (2019). A technology landscape of artificial intelligence: Technological structure and firms' competitive advantages. Journal of Korea Technology Innovation Society, 22(3), 340-361. doi:10.35978/jktis.2019.06.22.3.340 
  46. Liu, L., Zhao, H., Lu, G., Ling, Y., Jiang, L., Cai, H., & Gao, W. (2016). Attitudes of hospitalized patients toward wearing patient clothing in Tianjin, China: A cross-sectional survey. International Journal of Nursing Science, 3(4), 390-393. doi:10.1016/j.ijnss.2016.11.005 
  47. Lucas, C. M., & Dellasega, C. (2020). Finding common threads: How patients, physicians, and nurses perceive the patient gown. Patient Experience Journal, 7(1), 51-64. doi:10.35680/2372-0247.1387 
  48. Mitchell, J. C. (1969). Social networks in urban situations: Analyses of personal relationships in central African towns. Manchester: Manchester University Press. 
  49. Morton, L., Cogan, N., Kornfalt, S., Porter, Z., & Georgiadis, E. (2020). Baring all: The impact of the hospital gown on patient well-being. British Journal of Health Psychology, 25(3), 452-473. doi:10.1111/bjhp.12416 
  50. Moynihan, R., Sanders, S., Michaleff, Z. A., Scott, A. M., Clark, J., To, E. J., ... Albarqouni, L. (2021). Impact of COVID-19 pandemic on utilisation of healthcare services: A systematic review. Health Services Research, 11(3), e045343. doi:10.1136/bmjopen-2020-045343 
  51. Na, H.-S., Jeon, T.-H., Kang, H.-S., Ahn, J., & Im, D.-H. (2021). Sentence recommendation using beam search in a military intelligent image analysis system. The Transactions of the Korea Information Processing Society, 10(11), 521-528. doi:10.3745/KTSDE.2021.10.11.521 
  52. Park, H. W., & Leydesdorff, L. (2004). Understanding the KrKwic: A computer program for the analysis of Korean text. Journal of the Korean Data Analysis Society, 6(5), 1377-1387. 
  53. Park, H. W., Park, S., & Chong, M. (2020). Conversations and medical news frames on Twitter: Infodemiological study on COVID-19 in South Korea. Journal of Medical Internet Research, 22(5), e18897. doi:10.2196/18897 
  54. Park, H.-W., Ryou, E.-J., & Bae, H.-S. (2006). A research and analysis on the design of dementia patient's clothes in domestic. Journal of the Korean Society of Costume, 56(6), 45-57. 
  55. Park, S., Han, S., Kim, J., Molaie, M. M., Vu, H. D., Singh, K., ... Cha, M. (2021). COVID-19 discourse on Twitter in four Asian countries: Case study of risk communication. Journal of Medical Internet Research, 23(3), e23272. doi:10.2196/23272 
  56. Pesonen, E., Koskimies, O., Rapola, J., & Jaaskelainen, J. (1980). Fibromuscular dysplasia in a child: A generalized arterial disease. Acta Paediatrica, 69(4), 563-566. doi:10.1111/j.1651-2227.1980.tb07134.x 
  57. Petrosillo, N., Viceconte, G., Ergonul, O., Ippolito, G., & Petersen, E. (2020). COVID-19, SARS and MERS: Are they closely related? Clinical Microbiology and Infection, 26(6), 729-734. doi:10.1016/j.cmi.2020.03.026 
  58. Powell, C. (2004). Putting patients first: Designing and practicing patient-centered care. Health Expectations, 7(4), 352-353. doi:10.1111/j.1369-7625.2004.00302.x 
  59. Regner, M. F., Saenz, N., Maharajh, K., Yamamoto, D. J., Mohl, B., Wylie, K., ... Tanabe, J. (2016). Top-down network effective connectivity in abstinent substance-dependent individuals. PLoS One, 11(10), e0164818. doi:10.1371/journal.pone.0164818 
  60. Song, T. M., & Song, J. Y. (2016). Social big data research methodology with R. Seoul: Hannarae. 
  61. Topo, P., & Iltanen-Tahkavuori, S. (2010). Scripting patienthood with patient clothing. Social Science and Medicine, 70(11), 1682-1689. doi:10.1016/j.socscimed.2010.01.050 
  62. Uddin, M. A., Afroj, S., Hasan, T., Carr, C., Novoselov, K. S., & Karim, N. (2022). Environmental impacts of personal protective clothing used to combat COVID-19. Advanced Sustainable System, 6(1), 2100176. doi:10.48550/arXiv.2109.01037 
  63. Vaskooi-Eshkevari, K., Mirbazegh, F., SoltaniKermanshahi, M., Sabzali-Poursarab-Saeedi, M., & Alipour, S. (2019). Customized patient clothing and patient satisfaction. International Journal of Health Care Quality Assurance, 32(3), 635-644. doi:10.1108/IJHCQA-02-2018-0047 
  64. Wakita, K., & Tsurumi, T. (2007). Finding community structure in mega-scale social networks. WWW '07: Proceedings of the 16th international conference on World Wide Web, 1275-1276. 
  65. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge: Cambridge University Press. 
  66. Wellbery, C., & Chan, M. (2014). White coat, patient gown. Medical Humanities, 40(2), 90-96. doi:10.1136/medhum-2013-010463 
  67. Wong, A., Bhyat, R., Srivastava, S., Lomax, L. B., & Appireddy, R. (2021). Patient care during the COVID-19 pandemic: Use of virtual care. Journal of Medical Internet Research, 23(1), e20621. doi:10.2196/20621 
  68. Woodside, A. G., Frey, L. L., & Daly, R. T. (1989). Linking service quality, customer satisfaction, and behavioral intention. Journal of Health Care Marketing, 9(4), 5-17.