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      Analysis of issues related to nursing law: Examination of news articles using topic modeling

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          Abstract

          Purpose

          The objective of this study was to analyze proposed Korean nursing legislation as depicted in newspaper articles, to highlight issues related to the legislative process for this potential law, and to better understand social awareness regarding this matter.

          Methods

          The study focused on articles from 11 leading newspapers in Korea, published between February 2020 and August 2023, that pertained to nursing legislation. The articles were retrieved from the BigKinds database. Following text preprocessing, analytical methods including term frequency-inverse document frequency were employed, along with latent Dirichlet allocation (LDA), for word and topic modeling analysis. Additionally, LDA was applied across time periods to examine temporal changes in topics.

          Results

          Following preprocessing, a total of 7,967 words were extracted from the 991 articles selected for analysis. The primary themes identified in newspaper articles concerning the nursing legislation were organized into three main topics: 1) the necessity and impact of enactment of the nursing law, 2) the political context surrounding enactment of the law, and 3) the conflicts between and actions of healthcare organizations related to enactment of the law.

          Conclusions

          The findings confirmed that media coverage regarding the proposed nursing legislation primarily concentrated on the political and social conflicts associated with the law’s passage, rather than its necessity and substance. More compelling evidence must be presented concerning the influence of the nursing workforce and the work environment of nurses on patient safety and health outcomes. Additionally, strategies should be devised to improve public comprehension of the nursing law’s provisions.

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          Most cited references30

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          Implications of the California nurse staffing mandate for other states.

          To determine whether nurse staffing in California hospitals, where state-mandated minimum nurse-to-patient ratios are in effect, differs from two states without legislation and whether those differences are associated with nurse and patient outcomes. Primary survey data from 22,336 hospital staff nurses in California, Pennsylvania, and New Jersey in 2006 and state hospital discharge databases. Nurse workloads are compared across the three states and we examine how nurse and patient outcomes, including patient mortality and failure-to-rescue, are affected by the differences in nurse workloads across the hospitals in these states. California hospital nurses cared for one less patient on average than nurses in the other states and two fewer patients on medical and surgical units. Lower ratios are associated with significantly lower mortality. When nurses' workloads were in line with California-mandated ratios in all three states, nurses' burnout and job dissatisfaction were lower, and nurses reported consistently better quality of care. Hospital nurse staffing ratios mandated in California are associated with lower mortality and nurse outcomes predictive of better nurse retention in California and in other states where they occur.
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            • Record: found
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            Latent dirichlet allocation

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              • Abstract: not found
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              A review of topic modeling methods

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Project administrationRole: SoftwareRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                22 August 2024
                2024
                : 19
                : 8
                : e0308065
                Affiliations
                [1 ] Graduate School of Public Policy & Civic Engagement, Kyung Hee University, Seoul, Republic of Korea
                [2 ] College of Nursing, Research Institute of Nursing Science, Jeonbuk National University, Jeonju, Jeollabuk-do, Republic of Korea
                [3 ] Department of Software Engineering & Division of Electronics and Information Engineering, Jeonbuk National University, Jeonju, Jeollabuk-do, Republic of Korea
                [4 ] Department of Software Engineering, Jeonbuk National University, Jeonju, Jeollabuk-do, Republic of Korea
                University of Foggia: Universita degli Studi di Foggia, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-0124-1271
                Article
                PONE-D-24-13420
                10.1371/journal.pone.0308065
                11341052
                39173006
                0b90a6b5-cfe3-4598-a0ff-0ac157b1640c
                © 2024 Lee et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 April 2024
                : 16 July 2024
                Page count
                Figures: 2, Tables: 3, Pages: 15
                Funding
                This work was supported by the Korea Environmental Industry & Technology Institute (KEITI), with a grant funded by the Korean government, Ministry of Environment (The development of IoT-based technology for collecting and managing big data on environmental hazards and health effects), under Grant RE202101551.
                Categories
                Research Article
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Nurses
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Nurses
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Physicians
                People and Places
                Population Groupings
                Professions
                Medical Personnel
                Physicians
                Social Sciences
                Law and Legal Sciences
                Legislation
                Medicine and Health Sciences
                Health Care
                Nursing Science
                Social Sciences
                Law and Legal Sciences
                Medical Law
                Medicine and Health Sciences
                Medical Humanities
                Medical Law
                Medicine and Health Sciences
                Health Care
                Health Care Providers
                Allied Health Care Professionals
                Social Sciences
                Political Science
                Governments
                People and Places
                Population Groupings
                Ethnicities
                Asian People
                Korean People
                Custom metadata
                All relevant data are within the manuscript.

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