Seoyoung Baek
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Articles (10)
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Aim To employ network analysis to identify the central healthcare service needs of people living with HIV (PLWH) for integrated care. Design Cross‐sectional survey. Methods A list of healthcare services was identified through literature reviews, expert workshops and validity evaluations by PLWH. A total of 243 PLWH participated at five hospitals and self‐reported their need for healthcare services on a four‐point Likert scale. Centrality of healthcare service needs was analysed using network analysis. Results The mean score for 20 healthcare service needs was 3.53 out of 4. The highest scoring need, “Precaution for interaction between antiretroviral therapy and other drugs,” received a rating of 3.73 but had a centrality of only 0.31. The most central node in the network of healthcare service needs, “Information and coping with opportunistic infections,” had a strength centrality of 1.63 and showed significant relationships with “non‐HIV‐related medical services (e.g., health check‐ups)” and “Regular dental services.” The correlation stability coefficient, which quantifies the stability of centrality, was 0.44 with an acceptable value. Conclusions The most central need was information on opportunistic infections that had connections with many nodes in network analysis. By interpreting the relationships between needs, healthcare providers can design interventions with an integrative perspective. Implications for Patient Care Network visualization provides dynamic relationships between needs that are unknown from the score scale by presenting them graphically and qualitatively. Impact Using network analysis to interpret need assessment offers an integrated nursing perspective. Coping with opportunistic infection is central to connecting the chain of healthcare. This study highlights the multifaceted understanding of patients' needs that nurses gain when they conduct network analysis. Reporting Method We adhered to the STROBE checklist. Patient or Public Contribution No patient or public contribution.
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Collaborators (7)
Chang Park
Research Assistant Professor
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Min Kyung Park
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Youngjin Lee
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Sinwoo Hwang
Lecturer
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Jun Yong Choi
Yonsei University College of Medicine
Layoung Kim
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Namhee Kim
Assistant professor
Yonsei University
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