참고문헌
- International Council of Nurses (ICN). Nursing definitions [Internet]. Geneva: ICN; c2002 [cited 2022 Dec 14]. Available from: https://www.icn.ch/nursing-policy/nursing-definitions.
- Korean Nursing Association (KNA). Korean nurses code of ethics [Internet]. Seoul: KNA; c2022 [cited 2022 Dec 14]. Available from: http://www.koreanurse.or.kr/about_KNA/ethics.php.
- Kim G, Seo J, Lee S, Bae J, Yang Y. Types of perceptions regarding professionalism of physician assistant. Stress. 2020;228(4):202-212. https://doi.org/10.17547/kjsr.2020.28.4.202
- Kim W. The effects of out-of-pocket cost change on healthcare utilization for the elderly outpatients in Korea. The Korean Journal of Health Economics and Policy. 2021;27(2):95-120.
- Lee HY, Cho MY, Kim WJ, Park GJ, Moon JW. Policy in nursing and health care. Seoul: Gyechuk; 2016. p. 22-26.
- Choi HO. Study on selecting priority criteria utilizing civil complaint data in the field of environment and sanitation. Journal of Environmental Policy and Administration. 2016;24(2):45-57. https://doi.org/10.15301/jepa.2016.24.2.45
- Korean Nursing Association (KNA). KNA board [Internet]. Seoul: KNA; c2013 [cited 2022 Dec 20]. Available from: https://www.koreanursing.or.kr/main.html.
- Kim KH, Ju HO, Park SY. Working difficulties experienced by physician assistants. Journal of Korean Academy of Nursing Administration. 2022;28(2):67-77. https://doi.org/10.11111/jkana.2022.28.2.67
- Ji H, Lim A, Lee SE. Exploring nurses' experience and grievance: Network analysis and topic modeling using a social networking service. Journal of Korean Academy of Nursing Administration. 2021;27(3):169-180. https://doi.org/10.11111/jkana.2021.27.3.169
- The Blue House. Five-year record of the national petition [Internet]. Seoul: The Blue House; c2022 [cited 2023 Mar 16]. Available from: http://webarchives.pa.go.kr/19th/www.president.go.kr/.
- Kim TE, Mo EJ, Yang SM. A study on the users of the national petition to CheongWaDae: Focused on their motivations. Informatization Policy. 2020;27(1):92-114. https://doi.org/10.22693/NIAIP.2020.27.1.092
- Kim JY. The national petition to "reduce the number of patients per nurse" appeared [Internet]. Seoul: Docdocdoc; c2021 [cited 2022 Dec 5]. Available from: http://www.docdocdoc.co.kr/news/articleView.html?idxno=2015802.
- Ryu H, Lee JK. The relationship between attributes of the Blue House petitions, user engagement, and news coverage. Korean Journal of Broadcasting and Telecommunication Studies. 2021;35(1):115-153. https://doi.org/10.22876/kab.2021.35.1.004
- Ryu S. A study on recognition of "right to bear children" as part of reproductive rights of infertile persons: Focusing on the Blue House petition. Family and Culture. 2022;34(1):66-100. https://doi.org/10.21478/family.34.1.202203.003
- Choi S, Sul S. Exploring welfare needs of people in the era of COVID-19 pandemic: The bottom-up approach using 2020 national petition data. Korean Journal of Social Welfare Studies. 2021;52(2):37-64. https://doi.org/10.16999/kasws.2021.52.2.37
- Yu HR, Lee J. Content analysis of early childhood teachers' interests and needs: Focused on their petitions posted on Korean national petition bulletin board. Early Childhood Education Research and Review. 2021;25(6):169-193. https://doi.org/10.32349/ECERR.2021.12.25.6.169
- Lee SS. Network analysis methods. Seoul: Nonhyung; 2012. p. 99-282.
- Park CS, Park EJ. Identification of knowledge structure of pain management nursing research applying text network analysis. Journal of Korean Academy of Nursing. 2019;49(5):538-549. https://doi.org/10.4040/jkan.2019.49.5.538
- Seo Y. Identification of knowledge structure of accidental falls nursing research: Text network analysis and topic modelling [dissertation]. Seoul: Chung-Ang University; 2021. p. 1-151.
- Park S, Kwak E, Kim Y. Research trend on diabetes mobile applications: Text network analysis and topic modeling. Journal of Korean Biological Nursing Science. 2021;23(3):170-179. https://doi.org/10.7586/jkbns.2021.23.3.170
- Park MY, Jeong SH, Kim HS, Lee EJ. Images of nurses appeared in media reports before and after outbreak of COVID-19: Text network analysis and topic modeling. Journal of Korean Academy of Nursing. 2022;52(3):291-307. https://doi.org/10.4040/jkan.22002
- Kang J, Kim S, Roh S. A topic modeling analysis for online news article comments on nurses' workplace bullying. Journal of Korean Academy of Nursing. 2019;49(6):736-747. https://doi.org/10.4040/jkan.2019.49.6.736
- Kim S, Jung J, Kang H, Bae J, Sim K, Yoo M, et al. Analysis of telephone counseling of patients in chemotherapy using text mining technique. Asian Oncology Nursing. 2022;22(1):46-55. https://doi.org/10.5388/aon.2022.22.1.46
- Python Sofware Foundation. Python [Computer Program]. Version 3.10. Wilmington: Python; 2022. Available from: https://www.python.org/.
- Cyram Inc. CYRAM Netminer [Computer Program]. Version 4.5. Seongnam: Cyram Inc.; 2022. Available from: https://www.netminer.com/kr/index.php.
- Cyram Inc. Social network analysis using Netminer: Text network analysis. Seongnam: Cyram Inc; 2021. p. 24-29.
- Lee SS. A content analysis of journal articles using the language network analysis methods. Journal of the Korean Society for Information Management. 2014;31(4):49-68. https://doi.org/10.3743/KOSIM.2014.31.4.049
- Lee J, Kim Y, Kwak E, Park S. A study on research trends for gestational diabetes mellitus and breastfeeding: Focusing on text network analysis and topic modeling. The Journal of Korean Academic Society of Nursing Education. 2021;27(2):175-185. https://doi.org/10.5977/jkasne.2021.27.2.175
- Boudin F. A comparison of centrality measures for graphbased keyphrase extraction. In: Mitkov R, Park JC, editors. Proceedings of the Sixth International Joint Conference on Natural Language Processing; 2013 Oct 14-18; Nagoya, Japan. Asian Federation of Natural Language Processing; c2013. p. 834-838.
- Kwak KY. Social network analysis. 2nd ed. Seoul: Cheongram; 2017. p. 209-212.
- Mehta V. Caceres RS, Carter KM. Evaluating topic quality using model clustering. Proceedings of 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM); 2014 Dec 9-12; Orlando, FL. Piscataway (NJ): IEEE; c2014. p. 178-185.
- Yang H, Ahn J, Lee T. A study of Korean's experiences of unfairness based on analysis of text big data posted on the Blue House national petition. Survey Research. 2021;22(1):25-59. https://doi.org/10.20997/SR.22.1.2
- Im GS. 2nd Comprehensive Plan for Supporting Nursing Personnel [Internet]. Sejong: Ministry of Health and Welfare; c2023 [cited 2023 Sep 10]. Available from: https://www.korea.kr/briefing/pressReleaseView.do?newsId=156564502.
- Yang KJ. Current status of Korean health care according to 『OECD Health Statistics 2022』 [Internet]. Sejong: Ministry of Health and Welfare; c2022 [cited 2023 Sep 11]. Available from: https://www.khidi.or.kr/board/ view?pageNum=2&rowCnt=20&no1=2308&linkId=48877141&menuId=MENU01499&maxIndex-=00488779799998&minIndex=00488728959998&schType=0&schText=&schStartDate=&schEndDate=&boardStyle=&categoryId=&continent=&country=.
- Kim MS, Yang JS. The pilot project for improving the nurse shift system will be launched in accordance with the labor-management agreement ('21.9.2) [Internet]. Sejong: Ministry of Health and Welfare; c2022 [cited 2022 Dec 16]. Available from: https://eiec.kdi.re.kr/policy/materialView.do?num=225728&topic=P&pp=20&datecount=&recommend=&pg=.
- Kim S, Park Y, Kim K, Hong E. Effects of workplace bullying, nursing work environment, and reality shock on turnover intention of clinical nurses. Journal of the Korea Safety Management and Science. 2020;22(3):31-41. https://doi.org/10.12812/ksms.2020.22.3.031
- Oh SY. Revision of guidelines for improving treatment of nurses [Internet]. Sejong: Ministry of Health and Welfare; c2021 [cited 2022 Sep 10]. Available from: https://bogun.nodong.org/xe/khmwu_6_1/684021.
- Song MH. A review on the necessity of enacting the nursing act. Legal Theory and Practice Review. 2022;10(3):313-341. https://doi.org/10.30833/LTPR.2022.08.10.3.313
- Korean Law Information Center. Medical law [Internet]. Sejong: Korea Ministry of Government Legislation; c2021 [cited 2021 Dec 30]. Available from: https://law.go.kr/법령/의료법.
- Kim MY, Jeon MK, Choi SJ, Kim JH, Kim H, Leem CS. Experience of healthcare providers in the advanced practice nurse system. Journal of Korean Critical Care Nursing. 2021;14(2):42-56. https://doi.org/10.34250/jkccn.2021.14.2.42
- Korean Law Information Center. Medical dispute mediation law [Internet]. Sejong: Korea Ministry of Government Legislation; c2020 [cited 2022 Dec 15]. Available from: https://law.go.kr/법령/의료분쟁조정법.
- Han JM. Breach of medical records and presumption of medical malpractice - focusing on the court decision-. Ajou Law Research. 2022;16(2):31-60. https://doi.org/10.21589/ajlaw.2022.16.2.31
- Korea medical dispute mediation and arbitration agency [Internet]. Seoul: Korea Medical Dispute Mediation and Arbitration Agency; c2022 [cited 2022 Dec 15]. Available from: https://www.k-medi.or.kr/.
- Park YM, Nam KH, Kang KN, Nam JJ, Yun YO. Mediating effects of perceptions regarding the importance of patient safety management on the relationship between incident reporting attitudes and patient safety care activities for nurses in small- and medium-sized general hospitals. Journal of Korean Critical Care Nursing. 2019;12(2):85-96. https://doi.org/10.34250/jkccn.2019.12.2.85
- Kang YO, Kim MS, Jang KS. Influences of perceived patient-centered care and nursing service satisfaction on hospital revisit intent among inpatients who received comprehensive nursing service. Journal of Korean Gerontological Nursing. 2020;22(1):45-55. https://doi.org/10.17079/jkgn.2020.22.1.45
- Jung YA, Sung KM. A comparison of patients' nursing service satisfaction, hospital commitment and revisit intention between general care unit and comprehensive nursing care unit. Journal of Korean Academy of Nursing Administration. 2018;24(1):30-39. https://doi.org/10.11111/jkana.2018.24.1.30
- Kim MS, Im GS. The first meeting of the institutional development council was held to explore ways to improve the comprehensive nursing care service [Internet]. Sejong: Ministry of Health and Welfare; c2022 [cited 2022 Dec 16]. Available from: https://eiec.kdi.re.kr/policy/materialView.do?num=233059&topic=.
- Woo D, Yu H, Kim HJ, Choi M, Kim DH. Untact visit service development based on an application reflecting the circumstances during COVID-19: Focusing on utilization in the pediatric intensive care units. Journal of Korean Academy of Nursing. 2021;51(5):573-584. https://doi.org/10.4040/jkan.21143
- Jelodar H, Wang Y, Yuan C, Feng X, Jiang X, Li Y, et al. Latent Dirichlet allocation (LDA) and topic modeling: Models, applications, a survey. Multimedia Tools and Applications. 2019;78(11):15169-15211. https://doi.org/10.1007/s11042-018-6894-4
- Blei DM. Probabilistic topic models. Communications of the ACM. 2012;55(4):77-84. https://doi.org/10.1145/2133806.2133826