{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T16:50:42Z","timestamp":1781542242991,"version":"3.54.5"},"reference-count":41,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003803","name":"University of Hong Kong","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003803","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Clinical Nursing"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Turnover intention among nurses is a well\u2010established predictor of actual turnover. Despite the critical nursing shortages during COVID\u201019, the relative contributions of individual and organisational factors to increased turnover intention remain insufficiently understood.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aims and Objectives<\/jats:title>\n                    <jats:p>This study aimed to identify the determinants of turnover intention among clinical nurses at both individual and organisational levels and to evaluate the independent effects of these factors in infectious situations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>This study conducted a secondary analysis of cross\u2010sectional data collected in Hong Kong between April 2020 and September 2021.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A convenience sample of 188 Chinese registered nurses in Hong Kong was recruited. The survey assessed questions on demographic, organisational and workplace violence\u2010related characteristics, the Post\u2010Traumatic Stress Disorder Checklist\u2010Civilian Version, the Brief Coping Orientation to Problems Experienced Inventory and the Anticipated Turnover Scale. Univariable and structured multi\u2010phase linear regression analyses were performed to identify associated factors and to evaluate the influence of individual\u2010 and organisational\u2010level factors. The study followed the STROBE checklist for reporting cross\u2010sectional studies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The regression model, incorporating individual\u2010 and organisational\u2010level factors, explained 22.68% of the variance in turnover intention. Individual\u2010level factors associated with increased turnover intention included younger age, high levels of post\u2010traumatic stress symptoms and low use of accommodation coping strategies. Organisational\u2010level factors included exposure to workplace violence and insufficient support for reporting such incidents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This study underscores the significance of minimising workplace violence and enhancing workplace safety, in addition to addressing individual\u2010level factors, to reduce nurses' turnover intention\u2014particularly in the context of future pandemics and epidemics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Relevance to Clinical Practice<\/jats:title>\n                    <jats:p>These findings provide insights into the factors influencing clinical nurses' turnover intention, supporting the development and implementation of targeted clinical protocols and regulations to address modifiable factors and promote a sustainable nursing workforce.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patient and Public Contribution<\/jats:title>\n                    <jats:p>No patient or public contribution.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jocn.70012","type":"journal-article","created":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T00:59:08Z","timestamp":1751417948000},"page":"2310-2319","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Individual and Organisational Factors Influencing Turnover Intention Among Clinical Nurses: A Cross\u2010Sectional Secondary Analysis"],"prefix":"10.1111","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6998-5202","authenticated-orcid":false,"given":"Sujin","family":"Nam","sequence":"first","affiliation":[{"name":"College of Nursing Yonsei University  Seoul Republic of Korea"},{"name":"Li Ka Shing Faculty of Medicine, School of Nursing The University of Hong Kong  Pokfulam Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3000-4577","authenticated-orcid":false,"given":"Janet Yuen Ha","family":"Wong","sequence":"additional","affiliation":[{"name":"School of Nursing and Health Sciences Hong Kong Metropolitan University  Kowloon Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7365-9146","authenticated-orcid":false,"given":"Daniel Yee Tak","family":"Fong","sequence":"additional","affiliation":[{"name":"Li Ka Shing Faculty of Medicine, School of Nursing The University of Hong Kong  Pokfulam Hong Kong China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,7,1]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/jocn.15997"},{"key":"e_1_2_14_3_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15327558ijbm0401_6"},{"key":"e_1_2_14_4_1","unstructured":"Census and Statistics Department.2024.\u201cHong Kong in Figures.\u201dhttps:\/\/www.censtatd.gov.hk\/en\/data\/stat_report\/product\/B1010006\/att\/B10100062024AN24B0100.pdf."},{"key":"e_1_2_14_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/inr.12799"},{"key":"e_1_2_14_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12889\u2010017\u20104112\u20103"},{"key":"e_1_2_14_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/jclp.21845"},{"key":"e_1_2_14_8_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0300377"},{"key":"e_1_2_14_9_1","doi-asserted-by":"publisher","DOI":"10.1177\/073346480935654"},{"key":"e_1_2_14_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/nursrep15020052"},{"key":"e_1_2_14_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/jonm.13542"},{"key":"e_1_2_14_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare12030291"},{"key":"e_1_2_14_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/nop2.1523"},{"key":"e_1_2_14_14_1","volume-title":"Multivariate Data Analysis","author":"Hair J. 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