Journal of Nursing Scholarship最新文献

{"title":"Health outcomes in children with prenatal opioid exposure with and without neonatal abstinence syndrome in the first seven years of life: An observational cohort study","authors":"Joshua Lambert PhD, MS, Sara Arter PhD, RN, Henry Duah PhD, MPH, RN, Teenu Xavier PhD, RN, Jon E. Sprague RPH, PhD","doi":"10.1111/jnu.13000","DOIUrl":"10.1111/jnu.13000","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Prenatal opioid exposure (POE) is a major public health consequence of the opioid epidemic. Long-term health outcomes associated with POE remain unclear, especially for children with POE without a diagnosis of neonatal abstinence syndrome (NAS). Here, we aimed to describe the health outcomes of children with POE and with POE and NAS compared to unexposed children during the first 7 years of life.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>In this retrospective observational cohort study, children born between 2015 and 2022 were identified from the Maternal and Infant Data Hub (MIDH), a data repository that continuously integrates maternal, neonatal, and pediatric records from two academic medical centers and one pediatric hospital system in the Midwest, USA.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10 CM) chapters A00-N99 served as outcomes of interest. Annual incidence and crude incidence rate ratios were calculated to explore descriptive differences between the exposed and unexposed groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study included 22,002 children, 20,130 (91.5%) of whom were unexposed and 1872 (8.5%) were exposed. Of the 1872 exposed children, 371 (19.8%) received a diagnosis of NAS (POE + NAS) and 1501 were in the POE-NAS group. Across all 7 years, exposed children had a higher incidence of diagnoses in most ICD-10 CM chapters compared to unexposed children. A consistently higher incidence rate ratio of diagnosis was observed in both POE-NAS and POE + NAS groups (vs. unexposed) related to mental and behavioral disorders, eye diagnoses, and diseases of the musculoskeletal system and gastrointestinal systems.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>POE is associated with an increased risk of diagnoses in a number of ICD-10 CM chapters throughout childhood. These findings underscore the need for early screening and targeted interventions to support exposed children and improve their well-being. Further research is required to explore underlying mechanisms and develop preventive measures for at-risk populations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>Understanding the conditions more often diagnosed in children with prenatal opioid exposure will help to improve care p","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 6","pages":"767-779"},"PeriodicalIF":2.4,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jnu.13000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141508695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' perceptions of the design, implementation, and adoption of machine learning clinical decision support: A descriptive qualitative study","authors":"Ann M. Wieben PhD, RN, NI-BC,&nbsp;Bader G. Alreshidi PhD, RN, ACNP-BC,&nbsp;Brian J. Douthit PhD, NI-BC,&nbsp;Marisa Sileo MSN, RN, NI-BC,&nbsp;Pankaj Vyas MSN, MBA, RN,&nbsp;Linsey Steege PhD,&nbsp;Andrea Gilmore-Bykovskyi PhD, RN","doi":"10.1111/jnu.13001","DOIUrl":"10.1111/jnu.13001","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The purpose of this study was to explore nurses' perspectives on Machine Learning Clinical Decision Support (ML CDS) design, development, implementation, and adoption.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>Qualitative descriptive study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Nurses (<i>n</i> = 17) participated in semi-structured interviews. Data were transcribed, coded, and analyzed using Thematic analysis methods as described by Braun and Clarke.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Four major themes and 14 sub-themes highlight nurses' perspectives on autonomy in decision-making, the influence of prior experience in shaping their preferences for use of novel CDS tools, the need for clarity in why ML CDS is useful in improving practice/outcomes, and their desire to have nursing integrated in design and implementation of these tools.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study provided insights into nurse perceptions regarding the utility and usability of ML CDS as well as the influence of previous experiences with technology and CDS, change management strategies needed at the time of implementation of ML CDS, the importance of nurse-perceived engagement in the development process, nurse information needs at the time of ML CDS deployment, and the perceived impact of ML CDS on nurse decision making autonomy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>This study contributes to the body of knowledge about the use of AI and machine learning (ML) in nursing practice. Through generation of insights drawn from nurses' perspectives, these findings can inform successful design and adoption of ML Clinical Decision Support.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"57 1","pages":"82-94"},"PeriodicalIF":2.4,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11771625/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141428230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' safety climate, quality of care, and standard precautions adherence and compliance: A cross-sectional study","authors":"","doi":"10.1111/jnu.12984","DOIUrl":"10.1111/jnu.12984","url":null,"abstract":"","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"621"},"PeriodicalIF":2.4,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141421728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting sepsis at emergency department triage: Implementing clinical and laboratory markers within the first nursing assessment to enhance diagnostic accuracy","authors":"Ugo Giulio Sisto MD,&nbsp;Stefano Di Bella MD,&nbsp;Elisa Porta BSN, RN,&nbsp;Giorgia Franzoi BSN, RN,&nbsp;Franco Cominotto MD,&nbsp;Elena Guzzardi RN,&nbsp;Nicola Artusi MD,&nbsp;Caterina Anna Giudice MD,&nbsp;Eugenia Dal Bo MSN, RN,&nbsp;Nicholas Collot MD,&nbsp;Francesca Sirianni MD,&nbsp;Savino Russo MD,&nbsp;Gianfranco Sanson PhD, RN","doi":"10.1111/jnu.13002","DOIUrl":"10.1111/jnu.13002","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Early identification of sepsis in the emergency department (ED) triage is both valuable and challenging. Numerous studies have endeavored to pinpoint clinical and biochemical criteria to assist clinicians in the prompt diagnosis of sepsis, but few studies have assessed the efficacy of these criteria in the ED triage setting. The aim of the study was to explore the accuracy of clinical and laboratory markers evaluated at the triage level in identifying patients with sepsis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A prospective study was conducted in a large academic urban hospital, implementing a triage protocol aimed at early identification of septic patients based on clinical and laboratory markers. A multidisciplinary panel of experts reviewed cases to ensure accurate identification of septic patients. Variables analyzed included: Charlson comorbidity index, mean arterial pressure (MAP), partial pressure of carbon dioxide (PetCO₂), white cell count, eosinophil count, C-reactive protein to albumin ratio, procalcitonin, and lactate.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 235 patients were included. Multivariable analysis identified procalcitonin ≥1 ng/mL (OR 5.2; <i>p</i> &lt; 0.001); CRP-to-albumin ratio ≥32 (OR 6.6; <i>p</i> &lt; 0.001); PetCO₂ ≤ 28 mmHg (OR 2.7; <i>p</i> = 0.031), and MAP &lt;85 mmHg (OR 7.5; <i>p</i> &lt; 0.001) as independent predictors for sepsis. MAP ≥85 mmHg, CRP/albumin ratio &lt;32, and procalcitonin &lt;1 ng/mL demonstrated negative predictive values for sepsis of 90%, 89%, and 88%, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our study underscores the significance of procalcitonin and mean arterial pressure, while introducing CRP/albumin ratio and PetCO₂ as important variables to consider in the very initial assessment of patients with suspected sepsis in the ED.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <div>\u0000 \u0000 <ul>\u0000 \u0000 \u0000 <li>Early identification of sepsis since the emergency department (ED) triage is challenging</li>\u0000 \u0000 \u0000 <li>Implementing the ED triage protocol with simple clinical and laboratory markers allows to recognize patients with sepsis with a very good discriminatory power (AUC 0.88)</li>\u0000 </ul>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 6","pages":"757-766"},"PeriodicalIF":2.4,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141421729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Titles","authors":"Susan Gennaro","doi":"10.1111/jnu.12998","DOIUrl":"10.1111/jnu.12998","url":null,"abstract":"","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"489"},"PeriodicalIF":2.4,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141321895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applying machine learning to construct an association model for lung cancer and environmental hormone high-risk factors and nursing assessment reconstruction","authors":"Pin-Chieh Lee RN, Master,&nbsp;Mong-Wei Lin PhD,&nbsp;Hsien-Chi Liao MD,&nbsp;Chan-Yi Lin,&nbsp;Pei-Hung Liao PhD","doi":"10.1111/jnu.12997","DOIUrl":"10.1111/jnu.12997","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>To utilize machine learning techniques to develop an association model linking lung cancer and environmental hormones to enhance the understanding of potential lung cancer risk factors and refine current nursing assessments for lung cancer.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>This study is exploratory in nature. In Stage 1, data were sourced from a biological database, and machine learning methods, including logistic regression and neural-like networks, were employed to construct an association model. Results indicate significant associations between lung cancer and blood cadmium, urine cadmium, urine cadmium/creatinine, and di(2-ethylhexyl) phthalate. In Stage 2, 128 lung adenocarcinoma patients were recruited through convenience sampling, and the model was validated using a questionnaire assessing daily living habits and exposure to environmental hormones.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Analysis reveals correlations between the living habits of patients with lung adenocarcinoma and exposure to blood cadmium, urine cadmium, urine cadmium/creatinine, polyaromatic hydrocarbons, diethyl phthalate, and di(2-ethylhexyl) phthalate.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>According to the World Health Organization's global statistics, lung cancer claims approximately 1.8 million lives annually, with more than 50% of patients having no history of smoking or non-traditional risk factors. Environmental hormones have garnered significant attention in recent years in pathogen exploration. However, current nursing assessments for lung cancer risk have not incorporated environmental hormone-related factors. This study proposes reconstructing existing lung cancer nursing assessments with a comprehensive evaluation of lung cancer risks.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>The findings underscore the importance of future studies advocating for public screening of environmental hormone toxins to increase the sample size and validate the model externally. The developed association model lays the groundwork for advancing cancer risk nursing assessments.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"57 1","pages":"140-151"},"PeriodicalIF":2.4,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11771576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141263290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“Perinatal loss, a devastating cyclone”: A situation-specific nursing theory","authors":"Sara Furtado-Eraso RN, PhD,&nbsp;Blanca Marín-Fernández RN, PhD,&nbsp;Paula Escalada-Hernández RN, PhD","doi":"10.1111/jnu.12996","DOIUrl":"10.1111/jnu.12996","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Purpose&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The aim of this paper is to develop a preliminary theory that explores in depth into understanding the experiences of women who have suffered a spontaneous perinatal loss during any trimester of their pregnancy regarding their emotional response to this loss.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Design&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;A grounded theory approach was used, and 25 in-depth interviews were conducted with Spanish women who suffered a spontaneous perinatal loss.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Theoretical sampling and constant comparative analysis were used to reach theoretical saturation. EQUATOR guidelines were followed, using the COREQ checklist.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The “Perinatal loss, a devastating cyclone,” a situation-specific nursing theory, explains the process that a woman experiences when she loses her baby at any stage of pregnancy, drawing an analogy with tropical cyclones as natural disasters that destroy everything in their path. This situation-specific theory includes three dimensions, explaining the phases identified in the perinatal loss process (phase prior to impact [before the perinatal loss], impact phase [diagnostic moment], emergency phase [hospital care], relief or honeymoon phase [return home], disillusionment or stock-taking phase [after the first postloss days at home], reconstruction and recovery phase [grief construction process] and consequences [with an eye to the future]). Three intervention areas were described around the perinatal loss process: “rescue area” (partner, grandparents, and siblings of the deceased baby), “relief area” (healthcare professionals), and “base camp” (society).&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusion&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The situation-specific nursing theory “Perinatal loss, a devastating cyclone” is the final product of a grounded theory study that provided an in-depth analysis of women's experiences when they suffer a spontaneous perinatal loss at any point in their pregnancy.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Clinical Relevance&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The situation-specific theory “Perinatal loss, a devastating cyclone” with the seven identified phases and the three areas of intervention could be used as a framework for healthcare professionals in their clinical practice as a guide to support women in this disfranchised grief.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 ","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 5","pages":"664-677"},"PeriodicalIF":2.4,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jnu.12996","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141198535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to the Editor regarding “Lived experiences: Growing up with a seriously mentally ill parent”","authors":"Lin Chun RN,&nbsp;Lien-Chung Wei MD, MPH","doi":"10.1111/jnu.12999","DOIUrl":"10.1111/jnu.12999","url":null,"abstract":"","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 6","pages":"867"},"PeriodicalIF":2.4,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141198891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modifiable work stress factors and psychological health risk among nurses working within 13 countries","authors":"Allison A. Norful PhD,&nbsp;Monirah Albloushi PhD,&nbsp;Jiawen Zhao BS,&nbsp;Yuandi Gao BA,&nbsp;Janelle Castro PhD,&nbsp;Erlinda Palaganas PhD,&nbsp;Norielee S. Magsingit EdD,&nbsp;Jocelyn Molo DrPH,&nbsp;Badr Ayed Alenazy MSN,&nbsp;Reynaldo Rivera DNP","doi":"10.1111/jnu.12994","DOIUrl":"10.1111/jnu.12994","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Introduction&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Nurses are identified as having higher work stress and poor mental health risk among health care workforce globally. It remains unclear which modifiable stress factors pose the greatest risk for poor psychological health among nursing workforce and needed to inform targeted practice and policy change.&lt;/p&gt;\u0000 \u0000 &lt;p&gt;To determine which occupation-related or personal stress factors precipitate higher risk for burnout, depression, anxiety, job satisfaction or intention to leave one's position among nurses globally.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Design&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;A cross-sectional anonymous survey was administered via email using a snowball recruitment strategy.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Academic researchers and clinical industry leaders across 3 global regions collaborated to generate an email listserv of professional nursing contacts for survey distribution. The survey included valid and reliable measures to scale stress factors (Work Stress Questionnaire), and screen for burnout (single item), depression (Patient Health Questionnaire-2), anxiety (Generalized Anxiety Disorder-2), resilience (Brief Resilience Scale) and intention to leave one's job (single item). We used logistic regression, first unadjusted and then adjusted for personal and professional characteristics, to determine associations between stress factors and psychological health risk.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The final sample consisted of responses from 2864 nurses working across 13 countries. Most respondents reported working as a clinical nurse in the Philippines (&lt;i&gt;n&lt;/i&gt; = 2275), United States (&lt;i&gt;n&lt;/i&gt; = 424) and Saudi Arabia (&lt;i&gt;n&lt;/i&gt; = 104). One third of nursing respondents endorsed high burnout and intention to leave their job. Those reporting work conflict had significantly higher odds of burnout (odds ratio 3.18; 95% CI 2.22–4.54) and three times more likely to screen positive for depression (odds ratio 3.02; 95% CI 1.36–6.72) and anxiety (odds ratio 2.92; 95% CI 1.57–5.43). Those endorsing difficulty sleeping were 15 times more likely to screen positive for depression (odds ratio 15.63; 95% CI 2.09–117.06). Lack of social support was significantly associated to higher risk for burnout, job dissatisfaction, depression, anxiety, and intention to leave one's position.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Nurses remain at risk for burnout and poor psychological health stemming from work stress. Factors such as clear workplace goals and assignments, increased engagement, goo","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 5","pages":"742-751"},"PeriodicalIF":2.4,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141181412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social support from manager and co-workers in relation to registered nurses' work motivation in three healthcare settings: A cross-sectional study of a Swedish national sample","authors":"Carina Ahlstedt,&nbsp;Linda Moberg,&nbsp;Emma Brulin,&nbsp;Anna Nyberg","doi":"10.1111/jnu.12995","DOIUrl":"10.1111/jnu.12995","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Having more registered nurses (RNs) leave their workplace, with a shortage of RNs in healthcare as a consequence, might pose a risk to patient safety. According to the Job Demands Resource model, social support is a resource that can enhance work motivation, and if RNs are motivated at work, their willingness to remain in the workplace may increase.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Objective&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The aims were to explore (1) differences in RNs' experiences of social support from their immediate manager and co-workers between different healthcare settings, (2) associations between RNs' experiences of social support and aspects of work motivation, and (3) if these associations differed in strength between healthcare settings.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Design&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;A cross-sectional study design.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;A stratified population of Swedish RNs, &lt;i&gt;n&lt;/i&gt; = 2290, working in either hospitals, primary care, or home healthcare, responded to a survey in 2022. Chi-squared tests and linear and logistic regression analyses were used to analyze the data. Interaction was measured by adding an interaction term to the fully adjusted regression models. The findings' generalizability was strengthened by including calibrating weights in all analyses.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;RNs in primary care reported higher social support from their immediate manager than RNs in hospitals and home healthcare. RNs in home healthcare reported lower social support from co-workers than RNs in hospitals and primary care. There were statistically significant associations between higher levels of social support from the immediate manager and co-workers, respectively, and higher ratings in all aspects of work motivation: work engagement (manager: beta coefficient [&lt;i&gt;b&lt;/i&gt;] = 0.08, confidence interval [CI] 95% = 0.05; 0.10; co-workers: &lt;i&gt;b&lt;/i&gt; = 0.12, CI 95% = 0.08; 0.16), job satisfaction (manager: &lt;i&gt;b&lt;/i&gt; = 0.24, CI 95% = 0.21; 0.27; co-workers: &lt;i&gt;b&lt;/i&gt; = 0.22, CI 95% = 0.16; 0.28), opportunities to provide high-quality care (manager: &lt;i&gt;b&lt;/i&gt; = 0.15, CI 95% = 0.11; 0.18; co-workers: &lt;i&gt;b&lt;/i&gt; = 0.19, CI 95% = 0.13; 0.24), satisfaction with the employer (manager: &lt;i&gt;b&lt;/i&gt; = 0.46, CI 95% = 0.42; 0.50; co-workers: not statistically significant) and intention to remain at the workplace (manager: odds ratio = 1.89, CI 95% = 1.69; 2.13; co-workers: odds ratio = 1.42, CI 95% = 1.17; 1.72)","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 6","pages":"790-801"},"PeriodicalIF":2.4,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jnu.12995","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141174532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}