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Myoung Hee Seo 2 Articles
Life Experiences of Uninfected Women Living with HIV-Infected Husbands: A Phenomenological Study
Myoung Hee Seo, Seok Hee Jeong
J Korean Acad Nurs 2017;47(6):781-793.   Published online December 29, 2017
DOI: https://doi.org/10.4040/jkan.2017.47.6.781
AbstractAbstract PDF
Purpose

This study aimed to understand the meaning and essence of the life experiences of uninfected women living with HIV-infected husbands.

Methods

This qualitative study adopted van Manen's hermeneutic phenomenological method. Study participants were 8 females whose husband had been diagnosed with HIV for longer than 6 months, who had known about their husband's infection for more than 6 months, who were in a legal or common-law marriage and were living with their husbands at the time of interview for this study, and whose HIV antibody test results were negative. Data were collected from in-depth individual interviews with the participants from May to August 2016, and from related idiomatic expressions, literature, artwork, and phenomenological references.

Results

The following essential themes were identified regarding the life experiences of uninfected women living with HIV-infected husbands: ‘experiencing an abrupt change that came out of the blue and caused confusion’, ‘accepting one's fate and making desperate efforts to maintain one's family’, ‘dealing with a heavy burden alone’, ‘experiencing the harsh reality and fearful future’, and ‘finding consolation in the ordeal’.

Conclusion

This study provided a holistic and in-depth understanding of the meaning and essence of the life experiences of uninfected women living with HIV-infected husbands. Thus, this study recognizes these unnoticed women as new nursing subjects. Further, the present findings can be used as important basic data for the development of nursing interventions and national policy guidelines for uninfected women living with HIV-infected husbands.

Citations

Citations to this article as recorded by  
  • Using decision tree analysis to understand the influence of social networks on disclosure of HIV infection status
    Gwang Suk Kim, Mi-So Shim, Jeongmin Yi
    AIDS Care.2022; 34(1): 118.     CrossRef
  • Factors Influencing the Initiation of Treatment after the Diagnosis of Korean Patients with HIV
    Mi-So Shim, Gwang Suk Kim, Chang Gi Park
    Journal of Korean Academy of Community Health Nursing.2018; 29(3): 279.     CrossRef
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Research trends in generative artificial intelligence (ChatGPT, etc.) in nursing: a scoping review
Myung Jin Choi, Myoung Hee Seo, Jihun Kim, Sunmi Kim, Seok Hee Jeong
Received January 22, 2025  Accepted June 4, 2025  Published online June 18, 2025  
DOI: https://doi.org/10.4040/jkan.25006
AbstractAbstract ePub
Purpose
Generative artificial intelligence (AI) has yet to be comprehensively analyzed in the nursing literature. This study aimed to identify research trends in generative AI within the nursing field through a scoping review and propose strategies for its effective utilization in nursing.
Methods
A scoping review was conducted following Arksey and O’Malley’s six-stage framework. The inclusion criteria included: (1) studies conducted in nursing; (2) research related to generative AI; and (3) original research articles, theses, communications, editorials, letters, or commentaries published in academic journals. Database used PubMed, Embase, CENTRAL, CINAHL, KMbase, KoreaMed, KISS, ScienceON, RISS, DBpia, and 27 nursing-specific journals.
Results
In total, 387 studies were initially identified, and 58 were included in the final analysis. In the care domain, strengths included rapid information retrieval and improved nurse-patient communication, while limitations included the irreplaceable human element and low reliability. The administration domain had no relevant studies. In the research domain, generative AI exhibited strengths such as enhanced efficiency in the paper writing process and improved dissemination speed, but its weaknesses included lack of ethical and legal accountability and a risk of inaccurate or biased information. In the education domain, generative AI was effective in saving time in educational design and implementation, as well as supporting content creation, but challenges included algorithmic bias and risks of plagiarism.
Conclusion
This study identified potential benefits and limitations of generative AI across nursing domains. For effective application, it is essential to develop comprehensive guidelines and policies, provide user education and support, and create opportunities for nurses, educators, and students to learn about strengths and risks of generative AI.
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