Jackman, K. & Kelly, L. (2024). Editorial for the special issue about the health of transgender and gender diverse people. Journal of Nursing Scholarship, 56, 3–4. https://doi.org/10.1111/jnu.12949.
Description of the error: The authors' names have been reordered in the byline, the corresponding author has been updated, and Kasey Jackman's ORCID has been included.
Laura Kelly (she/her/hers) PhD, PMHNP3<Insert ORCID>
1Director of Academic- Practice Partnerships, Columbia University School of Nursing, New York, New York, USA
2NewYork- Presbyterian Hospital, New York, New York, USA
3Director of Nurse Practitioner Programs, M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, Pennsylvania, USA
Correspondence
Kasey Jackman PhD, RN, PMHNP- BC, FAAN, Director of Academic- Practice Partnerships
Columbia University School of Nursing
New York, New York, USA
Email: [email protected]
We apologize for this error.
Jackman, K. & Kelly, L. (2024)。关于变性人和性别多元化人群健康的特刊社论。护理学术期刊》，56，3-4。https://doi.org/10.1111/jnu.12949.Description 错误：Kasey Jackman (he/him/his) PhD, RN, PMHNP- BC, FAAN1,2,*, https://orcid.org/0000-0001-9906-380XLaura Kelly (she/her/hers) PhD, PMHNP3<Insert ORCID>1Director of Academic- Practice Partnerships, Columbia University School of Nursing, New York, New York, USA2NewYork- Presbyterian Hospital, New York, New York, USA3Director of Nurse Practitioner Programs, M. Louise Fitzpatrick College of Nurse Practitioner Programs.Louise Fitzpatrick College of Nursing, Villanova University, Villanova, Pennsylvania, USACorrespondenceKasey Jackman PhD, RN, PMHNP- BC, FAAN, Director of Academic- Practice PartnershipsColumbia University School of NursingNew York, New York, USAEmail：[email protected]我们对此错误深表歉意。
{"title":"Correction to Editorial for the special issue about the health of transgender and gender diverse people","authors":"","doi":"10.1111/jnu.12966","DOIUrl":"10.1111/jnu.12966","url":null,"abstract":"<p>Jackman, K. & Kelly, L. (2024). Editorial for the special issue about the health of transgender and gender diverse people. <i>Journal of Nursing Scholarship</i>, 56, 3–4. https://doi.org/10.1111/jnu.12949.</p><p><b>Description of the error:</b> The authors' names have been reordered in the byline, the corresponding author has been updated, and Kasey Jackman's ORCID has been included.</p><p>Kasey Jackman (he/him/his) PhD, RN, PMHNP- BC, FAAN<sup>1,2,*</sup>, https://orcid.org/0000-0001-9906-380X</p><p>Laura Kelly (she/her/hers) PhD, PMHNP<sup>3</sup><Insert ORCID></p><p><sup>1</sup>Director of Academic- Practice Partnerships, Columbia University School of Nursing, New York, New York, USA</p><p><sup>2</sup>NewYork- Presbyterian Hospital, New York, New York, USA</p><p><sup>3</sup>Director of Nurse Practitioner Programs, M. Louise Fitzpatrick College of Nursing, Villanova University, Villanova, Pennsylvania, USA</p><p>Correspondence</p><p>Kasey Jackman PhD, RN, PMHNP- BC, FAAN, Director of Academic- Practice Partnerships</p><p>Columbia University School of Nursing</p><p>New York, New York, USA</p><p>Email: <span>[email protected]</span></p><p>We apologize for this error.</p>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"622"},"PeriodicalIF":2.4,"publicationDate":"2024-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jnu.12966","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140332305","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}
Gian Carlo Torres PhD, RN, Leila Ledbetter MLIS, AHIP, Sarah Cantrell MLIS, AHIP-D, Anna Rita L. Alomo MALIS, RL, Thomas J. Blodgett PhD, RN, AGACNP-BC, Maria Victoria Bongar MHPEd, RN, Sandy Hatoum MSc-GH, BScN, Steph Hendren MLIS, AHIP, Ritzmond Loa PhD, RN, Sherihan Montaña MHPEd, RN, Earl Francis Sumile PhD, RN, Kathleen M. Turner DNP, RN, Michael V. Relf PhD, RN, AACRN, CNE, ANEF, FAAN
Introduction
Systematic reviews are considered the highest level of evidence that can help guide evidence-informed decisions in nursing practice, education, and even health policy. Systematic review publications have increased from a sporadic few in 1980s to more than 10,000 systematic reviews published every year and around 30,000 registered in prospective registries.
Methods
A cross-sectional design and a variety of data sources were triangulated to identify the journals from which systematic reviews would be evaluated for adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 reporting guidelines and scope. Specifically, this study used the PRISMA 2020 reporting guidelines to assess the reporting of the introduction, methods, information sources and search strategy, study selection process, quality/bias assessments, and results and discussion aspects of the included systematic reviews.
Results
Upon review of the 215 systematic reviews published in 10 top-tier journals in the field of nursing in 2019 and 2020, this study identified several opportunities to improve the reporting of systematic reviews in the context of the 2020 PRISMA statement. Areas of priority for reporting include the following key areas: (1) information sources, (2) search strategies, (3) study selection process, (4) bias reporting, (5) explicit discussion of the implications to policy, and lastly, the need for (6) prospective protocol registration.
Discussion
The use of the PRISMA 2020 guidelines by authors, peer reviewers, and editors can help to ensure the transparent and detailed reporting of systematic reviews published in the nursing literature.
Clinical Relevance
Systematic reviews are considered strong research evidence that can guide evidence-based practice and even clinical decision-making. This paper addresses some common methodological and process issues among systematic reviews that can guide clinicians and practitioners to be more critical in appraising research evidence that can shape nursing practice.
{"title":"Adherence to PRISMA 2020 reporting guidelines and scope of systematic reviews published in nursing: A cross-sectional analysis","authors":"Gian Carlo Torres PhD, RN, Leila Ledbetter MLIS, AHIP, Sarah Cantrell MLIS, AHIP-D, Anna Rita L. Alomo MALIS, RL, Thomas J. Blodgett PhD, RN, AGACNP-BC, Maria Victoria Bongar MHPEd, RN, Sandy Hatoum MSc-GH, BScN, Steph Hendren MLIS, AHIP, Ritzmond Loa PhD, RN, Sherihan Montaña MHPEd, RN, Earl Francis Sumile PhD, RN, Kathleen M. Turner DNP, RN, Michael V. Relf PhD, RN, AACRN, CNE, ANEF, FAAN","doi":"10.1111/jnu.12969","DOIUrl":"10.1111/jnu.12969","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Systematic reviews are considered the highest level of evidence that can help guide evidence-informed decisions in nursing practice, education, and even health policy. Systematic review publications have increased from a sporadic few in 1980s to more than 10,000 systematic reviews published every year and around 30,000 registered in prospective registries.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional design and a variety of data sources were triangulated to identify the journals from which systematic reviews would be evaluated for adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 reporting guidelines and scope. Specifically, this study used the PRISMA 2020 reporting guidelines to assess the reporting of the introduction, methods, information sources and search strategy, study selection process, quality/bias assessments, and results and discussion aspects of the included systematic reviews.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Upon review of the 215 systematic reviews published in 10 top-tier journals in the field of nursing in 2019 and 2020, this study identified several opportunities to improve the reporting of systematic reviews in the context of the 2020 PRISMA statement. Areas of priority for reporting include the following key areas: (1) information sources, (2) search strategies, (3) study selection process, (4) bias reporting, (5) explicit discussion of the implications to policy, and lastly, the need for (6) prospective protocol registration.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>The use of the PRISMA 2020 guidelines by authors, peer reviewers, and editors can help to ensure the transparent and detailed reporting of systematic reviews published in the nursing literature.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>Systematic reviews are considered strong research evidence that can guide evidence-based practice and even clinical decision-making. This paper addresses some common methodological and process issues among systematic reviews that can guide clinicians and practitioners to be more critical in appraising research evidence that can shape nursing practice.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"531-541"},"PeriodicalIF":2.4,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140327361","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}
Aaron Conway, Jack Li, Mohammad Goudarzi Rad, Sebastian Mafeld, Babak Taati
<p><strong>Introduction: </strong>Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation.</p><p><strong>Design: </strong>A prospective observational study was conducted.</p><p><strong>Methods: </strong>Audio recordings from consenting participants undergoing elective procedures performed in the interventional radiology suite at a large academic hospital were transcribed using an automated speech recognition model. Sentences of transcribed text were used to train and evaluate several different NLP pipelines for a text classification task. The NLP pipelines we evaluated included a simple Bag-of-Words (BOW) model, an ensemble architecture combining a linear BOW model and a "token-to-vector" (Tok2Vec) component, and a transformer-based architecture using the RoBERTa pre-trained model.</p><p><strong>Results: </strong>A total of 15,936 sentences from transcriptions of 82 procedures was included in the analysis. The RoBERTa model achieved the highest performance among the three models with an area under the ROC curve (AUC-ROC) of 0.97, an F1 score of 0.87, a precision of 0.86, and a recall of 0.89. The Ensemble model showed a similarly high AUC-ROC of 0.96, but lower F1 score of 0.79, precision of 0.83, and recall of 0.77. The BOW approach achieved an AUC-ROC of 0.97 and the F1 score was 0.7, precision was 0.83 and recall was 0.66.</p><p><strong>Conclusion: </strong>The transformer-based architecture using the RoBERTa pre-trained model achieved the best classification performance. Further research is required to confirm the that this natural language processing pipeline can accurately perform text classifications with real-time audio data to allow for automated sedation state assessments.</p><p><strong>Clinical relevance: </strong>Automating sedation state assessments using natural language processing pipelines would allow for more timely documentation of the care received by sedated patients, and, at the same time, decrease documentation burden for clinicians. Downstream applications can also be generated from the classifications, including for example real-time visualizations of sedation state, which may facilitate improved communication of the adequacy of the sedation between clinicians, who may be performi
{"title":"Automating sedation state assessments using natural language processing.","authors":"Aaron Conway, Jack Li, Mohammad Goudarzi Rad, Sebastian Mafeld, Babak Taati","doi":"10.1111/jnu.12968","DOIUrl":"https://doi.org/10.1111/jnu.12968","url":null,"abstract":"<p><strong>Introduction: </strong>Common goals for procedural sedation are to control pain and ensure the patient is not moving to an extent that is impeding safe progress or completion of the procedure. Clinicians perform regular assessments of the adequacy of procedural sedation in accordance with these goals to inform their decision-making around sedation titration and also for documentation of the care provided. Natural language processing could be applied to real-time transcriptions of audio recordings made during procedures in order to classify sedation states that involve movement and pain, which could then be integrated into clinical documentation systems. The aim of this study was to determine whether natural language processing algorithms will work with sufficient accuracy to detect sedation states during procedural sedation.</p><p><strong>Design: </strong>A prospective observational study was conducted.</p><p><strong>Methods: </strong>Audio recordings from consenting participants undergoing elective procedures performed in the interventional radiology suite at a large academic hospital were transcribed using an automated speech recognition model. Sentences of transcribed text were used to train and evaluate several different NLP pipelines for a text classification task. The NLP pipelines we evaluated included a simple Bag-of-Words (BOW) model, an ensemble architecture combining a linear BOW model and a \"token-to-vector\" (Tok2Vec) component, and a transformer-based architecture using the RoBERTa pre-trained model.</p><p><strong>Results: </strong>A total of 15,936 sentences from transcriptions of 82 procedures was included in the analysis. The RoBERTa model achieved the highest performance among the three models with an area under the ROC curve (AUC-ROC) of 0.97, an F1 score of 0.87, a precision of 0.86, and a recall of 0.89. The Ensemble model showed a similarly high AUC-ROC of 0.96, but lower F1 score of 0.79, precision of 0.83, and recall of 0.77. The BOW approach achieved an AUC-ROC of 0.97 and the F1 score was 0.7, precision was 0.83 and recall was 0.66.</p><p><strong>Conclusion: </strong>The transformer-based architecture using the RoBERTa pre-trained model achieved the best classification performance. Further research is required to confirm the that this natural language processing pipeline can accurately perform text classifications with real-time audio data to allow for automated sedation state assessments.</p><p><strong>Clinical relevance: </strong>Automating sedation state assessments using natural language processing pipelines would allow for more timely documentation of the care received by sedated patients, and, at the same time, decrease documentation burden for clinicians. Downstream applications can also be generated from the classifications, including for example real-time visualizations of sedation state, which may facilitate improved communication of the adequacy of the sedation between clinicians, who may be performi","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140295246","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}
With the prolongation of the COVID-19 pandemic, more individuals are experiencing sequelae after COVID-19 infection, also known as post-acute COVID-19 syndrome (PCS). The aims of this study were to describe the prevalence and characteristics of PCS symptoms such as fatigue, anxiety, and depression and to compare these symptoms according to participant characteristics in patients who had been previously hospitalized due to COVID-19.
Design
A descriptive cross-sectional study design was used.
Methods
We included 114 individuals who had been hospitalized for COVID-19 and were discharged from the hospital at least 4 weeks before. Symptoms were assessed using the Fatigue Severity Scale, the Hospital Anxiety-Depression Scale, and the PCS symptom questionnaire developed by the authors. We used descriptive statistics, the Student's t-test, the Wilcoxon rank-sum test, and the Kruskal–Wallis test for statistical analyses.
Results
The most prevalent symptoms were anxiety (66.7%), fatigue (64.0%), headache (57.9%), and concentration or memory difficulties (57.9%). Concentration or memory difficulties and sleep disturbances had the highest mean frequency. Concentration or memory difficulties were rated with the highest mean severity, and cough, loss of taste, and muscle and joint pain had the highest mean distress scores. Female participants, individuals hospitalized for more than 2 weeks, individuals discharged more than 9 months ago, unvaccinated patients, and those who tried at least one symptom relief method reported higher symptom distress.
Conclusion
The findings of this investigation into the frequency, severity, and distress of symptoms shed light on the identification of post-COVID symptoms in detail. To objectively evaluate and comprehend the symptom trajectories of PCS, prospective studies about the development of symptom assessment tools and studies with a longitudinal design should be conducted.
Clinical Relevance
A substantial number of respondents reported numerous symptoms and expressed symptom distress; therefore, the development of nursing interventions and treatments to alleviate PCS symptoms is crucial.
{"title":"Post-acute COVID-19 syndrome in previously hospitalized patients","authors":"Yoonsoo Eo MSN, RN, Sun Ju Chang PhD, RN","doi":"10.1111/jnu.12967","DOIUrl":"10.1111/jnu.12967","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>With the prolongation of the COVID-19 pandemic, more individuals are experiencing sequelae after COVID-19 infection, also known as post-acute COVID-19 syndrome (PCS). The aims of this study were to describe the prevalence and characteristics of PCS symptoms such as fatigue, anxiety, and depression and to compare these symptoms according to participant characteristics in patients who had been previously hospitalized due to COVID-19.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>A descriptive cross-sectional study design was used.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We included 114 individuals who had been hospitalized for COVID-19 and were discharged from the hospital at least 4 weeks before. Symptoms were assessed using the Fatigue Severity Scale, the Hospital Anxiety-Depression Scale, and the PCS symptom questionnaire developed by the authors. We used descriptive statistics, the Student's <i>t</i>-test, the Wilcoxon rank-sum test, and the Kruskal–Wallis test for statistical analyses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The most prevalent symptoms were anxiety (66.7%), fatigue (64.0%), headache (57.9%), and concentration or memory difficulties (57.9%). Concentration or memory difficulties and sleep disturbances had the highest mean frequency. Concentration or memory difficulties were rated with the highest mean severity, and cough, loss of taste, and muscle and joint pain had the highest mean distress scores. Female participants, individuals hospitalized for more than 2 weeks, individuals discharged more than 9 months ago, unvaccinated patients, and those who tried at least one symptom relief method reported higher symptom distress.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The findings of this investigation into the frequency, severity, and distress of symptoms shed light on the identification of post-COVID symptoms in detail. To objectively evaluate and comprehend the symptom trajectories of PCS, prospective studies about the development of symptom assessment tools and studies with a longitudinal design should be conducted.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>A substantial number of respondents reported numerous symptoms and expressed symptom distress; therefore, the development of nursing interventions and treatments to alleviate PCS symptoms is crucial.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"517-530"},"PeriodicalIF":2.4,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140177642","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}
In the rapidly evolving healthcare landscape, the capacity to foster innovative work behavior among nurses is increasingly important. This study examined the dynamics between inclusive leadership, psychological safety, collectivism, and innovative work behavior among nurses.
Design
The study used a cross-sectional, correlational design.
Methods
This study utilized data from 730 medical-surgical nurses who provided direct care to patients. Standardized instruments were used to assess key study variables. Statistical analyses, including moderated mediation regressions, were employed to investigate the complex interplay among these variables.
Results
We found a positive association between inclusive leadership and innovative work behavior, and psychological safety mediated this relationship. Collectivism moderated inclusive leadership's direct relationship with psychological safety and its indirect relationship with innovative work behavior. The results revealed that nurses with lower levels of collectivism were more responsive to their managers' inclusive behaviors, strengthening the relation between inclusive leadership, psychological safety, and innovative work behavior.
Conclusion
Our findings suggest that promoting inclusive leadership behaviors among nurse managers to create a psychologically safe environment can motivate nurses to engage in innovative work behavior. However, it is also important to understand that the effectiveness of leadership may differ depending on the collectivist values of individual nurses.
Clinical Relevance
Nurse managers should adopt inclusive leadership behaviors, such as valuing trust, open communication, and diversity, in order to foster psychological safety and innovative work behavior among nurses.
{"title":"Effects of nurse managers' inclusive leadership on nurses' psychological safety and innovative work behavior: The moderating role of collectivism","authors":"Seung Eun Lee PhD, RN, JK Seo PhD","doi":"10.1111/jnu.12965","DOIUrl":"10.1111/jnu.12965","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>In the rapidly evolving healthcare landscape, the capacity to foster innovative work behavior among nurses is increasingly important. This study examined the dynamics between inclusive leadership, psychological safety, collectivism, and innovative work behavior among nurses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>The study used a cross-sectional, correlational design.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study utilized data from 730 medical-surgical nurses who provided direct care to patients. Standardized instruments were used to assess key study variables. Statistical analyses, including moderated mediation regressions, were employed to investigate the complex interplay among these variables.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found a positive association between inclusive leadership and innovative work behavior, and psychological safety mediated this relationship. Collectivism moderated inclusive leadership's direct relationship with psychological safety and its indirect relationship with innovative work behavior. The results revealed that nurses with lower levels of collectivism were more responsive to their managers' inclusive behaviors, strengthening the relation between inclusive leadership, psychological safety, and innovative work behavior.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our findings suggest that promoting inclusive leadership behaviors among nurse managers to create a psychologically safe environment can motivate nurses to engage in innovative work behavior. However, it is also important to understand that the effectiveness of leadership may differ depending on the collectivist values of individual nurses.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>Nurse managers should adopt inclusive leadership behaviors, such as valuing trust, open communication, and diversity, in order to foster psychological safety and innovative work behavior among nurses.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"554-562"},"PeriodicalIF":2.4,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140102768","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}
Jieun Choi RN, Sujin Lee RN, Eunjin Park RN, Sangha Ku RN, Sunhwa Kim RN, Wonhye Yu RN, Eunmi Jeong RN, Sookhee Park RN, Yusun Park RN, Sung Reul Kim PhD, RN
Introduction
Inpatients need to recognize their fall risk accurately and objectively. Nurses need to assess how patients perceive their fall risk and identify the factors that influence patients' fall risk perception.
Purpose
This study aims to explore the congruency between nurses' fall risk assessment and patients' perception of fall risk and identify factors related to the non-congruency of fall risk.
Designs
A descriptive and cross-sectional design was used. The study enrolled 386 patients who were admitted to an acute care hospital. Six nurses assessed the participants' fall risk. Congruency was classified using the Morse Fall Scale for nurses and the Fall Risk Perception Questionnaire for patients.
Findings
The nurses' fall risk assessments and patients' fall risk perceptions were congruent in 57% of the participants. Underestimation of the patient's risk of falling was associated with gender (women), long hospitalization period, department (orthopedics), low fall efficacy, and history of falls before hospitalization. Overestimation of fall risk was associated with age group, gender (men), department, and a high health literacy score. In the multiple logistic regression, the factors related to the underestimation of fall risk were hospitalization period and department, and the factors related to the overestimation of fall risk were health literacy and department.
Conclusions
Nurses should consider the patient's perception of fall risk and incorporate it into fall prevention interventions.
Clinical Relevance
Nurses need to evaluate whether patients perceive the risk of falling consistently. For patients who underestimate or overestimate their fall risk, it may be helpful to consider clinical and fall-related characteristics together when evaluating their perception of fall risk.
{"title":"Congruency and its related factors between patients' fall risk perception and nurses' fall risk assessment in acute care hospitals","authors":"Jieun Choi RN, Sujin Lee RN, Eunjin Park RN, Sangha Ku RN, Sunhwa Kim RN, Wonhye Yu RN, Eunmi Jeong RN, Sookhee Park RN, Yusun Park RN, Sung Reul Kim PhD, RN","doi":"10.1111/jnu.12964","DOIUrl":"10.1111/jnu.12964","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Inpatients need to recognize their fall risk accurately and objectively. Nurses need to assess how patients perceive their fall risk and identify the factors that influence patients' fall risk perception.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>This study aims to explore the congruency between nurses' fall risk assessment and patients' perception of fall risk and identify factors related to the non-congruency of fall risk.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Designs</h3>\u0000 \u0000 <p>A descriptive and cross-sectional design was used. The study enrolled 386 patients who were admitted to an acute care hospital. Six nurses assessed the participants' fall risk. Congruency was classified using the Morse Fall Scale for nurses and the Fall Risk Perception Questionnaire for patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Findings</h3>\u0000 \u0000 <p>The nurses' fall risk assessments and patients' fall risk perceptions were congruent in 57% of the participants. Underestimation of the patient's risk of falling was associated with gender (women), long hospitalization period, department (orthopedics), low fall efficacy, and history of falls before hospitalization. Overestimation of fall risk was associated with age group, gender (men), department, and a high health literacy score. In the multiple logistic regression, the factors related to the underestimation of fall risk were hospitalization period and department, and the factors related to the overestimation of fall risk were health literacy and department.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Nurses should consider the patient's perception of fall risk and incorporate it into fall prevention interventions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>Nurses need to evaluate whether patients perceive the risk of falling consistently. For patients who underestimate or overestimate their fall risk, it may be helpful to consider clinical and fall-related characteristics together when evaluating their perception of fall risk.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"507-516"},"PeriodicalIF":2.4,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139944610","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}
<div> <section> <h3> Introduction</h3> <p>The emergence of novel infectious diseases has amplified the urgent need for effective prevention strategies, especially ones targeting vulnerable populations such as children. Factors such as the high incidence of both emerging and existing infectious diseases, delays in vaccinations, and routine exposure in communal settings heighten children's susceptibility to infections. Despite this pressing need, a comprehensive exploration of research trends in this domain remains lacking. This study aims to address this gap by employing text mining and modeling techniques to conduct a comprehensive analysis of the existing literature, thereby identifying emerging research trends in infectious disease prevention among children.</p> </section> <section> <h3> Methods</h3> <p>A cross-sectional text mining approach was adopted, focusing on journal articles published between January 1, 2003, and August 31, 2022. These articles, related to infectious disease prevention in children, were sourced from databases such as PubMed, CINAHL, MEDLINE (Ovid), Scopus, and Korean RISS. The data underwent preprocessing using the Natural Language Toolkit (NLTK) in Python, with a semantic network analysis and topic modeling conducted using R software.</p> </section> <section> <h3> Results</h3> <p>The final dataset comprised 509 journal articles extracted from multiple databases. The study began with a word frequency analysis to pinpoint relevant themes, subsequently visualized through a word cloud. Dominant terms encompassed “vaccination,” “adolescent,” “infant,” “parent,” “family,” “school,” “country,” “household,” “community,” “HIV,” “HPV,” “COVID-19,” “influenza,” and “diarrhea.” The semantic analysis identified “age” as a key term across infection, control, and intervention discussions. Notably, the relationship between “hand” and “handwashing” was prominent, especially in educational contexts linked with “school” and “absence.” Latent Dirichlet Allocation (LDA) topic modeling further delineated seven topics related to infectious disease prevention for children, encompassing (1) educational programs, (2) vaccination efforts, (3) family-level responses, (4) care for immunocompromised individuals, (5) country-specific responses, (6) school-based strategies, and (7) persistent threats from established infectious diseases.</p> </section> <section> <h3> Conclusion</h3> <p>The study emphasizes the indispensable role of personalized interventions tailored for various child demographics, highlighting the pivotal contributions of both parental guidance and school participation.</p> </section> <
{"title":"Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling","authors":"Won-Oak Oh RN, PhD, Eunji Lee RN, MSN, Yoo-jin Heo RN, PhD, Myung-Jin Jung RN, PhD student, Jihee Han RN, PhD student","doi":"10.1111/jnu.12963","DOIUrl":"10.1111/jnu.12963","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The emergence of novel infectious diseases has amplified the urgent need for effective prevention strategies, especially ones targeting vulnerable populations such as children. Factors such as the high incidence of both emerging and existing infectious diseases, delays in vaccinations, and routine exposure in communal settings heighten children's susceptibility to infections. Despite this pressing need, a comprehensive exploration of research trends in this domain remains lacking. This study aims to address this gap by employing text mining and modeling techniques to conduct a comprehensive analysis of the existing literature, thereby identifying emerging research trends in infectious disease prevention among children.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional text mining approach was adopted, focusing on journal articles published between January 1, 2003, and August 31, 2022. These articles, related to infectious disease prevention in children, were sourced from databases such as PubMed, CINAHL, MEDLINE (Ovid), Scopus, and Korean RISS. The data underwent preprocessing using the Natural Language Toolkit (NLTK) in Python, with a semantic network analysis and topic modeling conducted using R software.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The final dataset comprised 509 journal articles extracted from multiple databases. The study began with a word frequency analysis to pinpoint relevant themes, subsequently visualized through a word cloud. Dominant terms encompassed “vaccination,” “adolescent,” “infant,” “parent,” “family,” “school,” “country,” “household,” “community,” “HIV,” “HPV,” “COVID-19,” “influenza,” and “diarrhea.” The semantic analysis identified “age” as a key term across infection, control, and intervention discussions. Notably, the relationship between “hand” and “handwashing” was prominent, especially in educational contexts linked with “school” and “absence.” Latent Dirichlet Allocation (LDA) topic modeling further delineated seven topics related to infectious disease prevention for children, encompassing (1) educational programs, (2) vaccination efforts, (3) family-level responses, (4) care for immunocompromised individuals, (5) country-specific responses, (6) school-based strategies, and (7) persistent threats from established infectious diseases.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The study emphasizes the indispensable role of personalized interventions tailored for various child demographics, highlighting the pivotal contributions of both parental guidance and school participation.</p>\u0000 </section>\u0000 \u0000 <","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"606-620"},"PeriodicalIF":2.4,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139913973","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":"“Feel shame and afraid to be judged by others”: The need for promoting academic honesty in chatbot-facilitated writing","authors":"Joko Gunawan PhD, RN","doi":"10.1111/jnu.12962","DOIUrl":"10.1111/jnu.12962","url":null,"abstract":"","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 2","pages":"351"},"PeriodicalIF":3.4,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139703924","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}
<div> <section> <h3> Aim</h3> <p>To explore predictors of spiritual well-being behaviors among heart failure patients based on Wilson and Cleary's conceptual model of health-related quality of life and to clarify the interrelationships among these variables.</p> </section> <section> <h3> Design</h3> <p>A descriptive and correlational study design was used.</p> </section> <section> <h3> Methods</h3> <p>This study included 202 heart failure patients treated between October 2020 and July 2021. Data were collected using the Symptom Status Questionnaire-Heart Failure, Perception of Health Scale, and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale. Descriptive analysis, correlation, and structural equation modeling were performed.</p> </section> <section> <h3> Results</h3> <p>Characteristic factors positively affected spiritual well-being both directly (<i>β</i> = 0.19, <i>p</i> = 0.007) and indirectly (<i>β</i> = 0.19; CI (0.106; 0.311)). The direct relationship between health perception and spiritual well-being was significant (<i>β</i> = 0.83, <i>p</i> < 0.05). Symptom status acted as an essential mediator between model variables and spiritual well-being (<i>β</i> = −0.28; CI (−0.449; −0.133)). Comorbidity and symptom status also influence spiritual well-being through health perceptions. These variables explain 77% of the variance in spiritual well-being.</p> </section> <section> <h3> Conclusion</h3> <p>The modified structural equation modeling based on Wilson and Cleary's conceptual model fits well in predicting spiritual well-being in patients with heart failure. Spiritual well-being was reported to be poor, and changes in spiritual well-being were predicted by age, educational level, marital status, comorbidity, symptom status, and health perception. The results can be applied to patients with heart failure and may serve as a guide for assessment and interventions for improving spiritual well-being.</p> </section> <section> <h3> Clinical Relevance</h3> <p>This study mainly concludes that symptom status and perceived health status affect spiritual well-being in heart failure patients. Symptom relief and improvement in perceived health status interventions may help enhance spiritual well-being in this population. Future studies are needed to investigate the different predictor's effects on spiritual well-being and examine whether symptom management and health status-enhancing interventions result in improved spiritual well-being in the heart f
{"title":"Correlation between symptom status, health perception, and spiritual well-being in heart failure patients: A structural equation modeling approach","authors":"Hacer Eroglu MSc, RN, Zehra Gok Metin PhD, RN","doi":"10.1111/jnu.12961","DOIUrl":"10.1111/jnu.12961","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>To explore predictors of spiritual well-being behaviors among heart failure patients based on Wilson and Cleary's conceptual model of health-related quality of life and to clarify the interrelationships among these variables.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>A descriptive and correlational study design was used.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study included 202 heart failure patients treated between October 2020 and July 2021. Data were collected using the Symptom Status Questionnaire-Heart Failure, Perception of Health Scale, and Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale. Descriptive analysis, correlation, and structural equation modeling were performed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Characteristic factors positively affected spiritual well-being both directly (<i>β</i> = 0.19, <i>p</i> = 0.007) and indirectly (<i>β</i> = 0.19; CI (0.106; 0.311)). The direct relationship between health perception and spiritual well-being was significant (<i>β</i> = 0.83, <i>p</i> < 0.05). Symptom status acted as an essential mediator between model variables and spiritual well-being (<i>β</i> = −0.28; CI (−0.449; −0.133)). Comorbidity and symptom status also influence spiritual well-being through health perceptions. These variables explain 77% of the variance in spiritual well-being.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The modified structural equation modeling based on Wilson and Cleary's conceptual model fits well in predicting spiritual well-being in patients with heart failure. Spiritual well-being was reported to be poor, and changes in spiritual well-being were predicted by age, educational level, marital status, comorbidity, symptom status, and health perception. The results can be applied to patients with heart failure and may serve as a guide for assessment and interventions for improving spiritual well-being.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>This study mainly concludes that symptom status and perceived health status affect spiritual well-being in heart failure patients. Symptom relief and improvement in perceived health status interventions may help enhance spiritual well-being in this population. Future studies are needed to investigate the different predictor's effects on spiritual well-being and examine whether symptom management and health status-enhancing interventions result in improved spiritual well-being in the heart f","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 4","pages":"490-506"},"PeriodicalIF":2.4,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139703925","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}
Daniel Joseph E. Berdida PhD, RN, RM, Rizal Angelo N. Grande EdD, RN
Introduction
Investigations about the interrelationships of nurses' safety climate, quality of care, and standard precautions (SP) adherence and compliance remain particularly scarce in the literature. Thus, we tested a model of the associations between nurses' safety climate, quality of care, and the factors influencing adherence and compliance with SPs utilizing the structural equation modeling (SEM) approach.
Design
Cross-sectional design complying with STROBE guidelines.
Methods
Using convenience sampling, nurses (n = 730) from the Philippines were recruited. Data were collected between April and September 2022 using four validated self-report measures. Spearman Rho, mediation and path analyses, and SEM were employed for data analysis.
Results
Acceptable model fit indices were shown by the emerging model. The safety climate is positively associated with quality of care and factors influencing adherence to and compliance with SPs. Quality of care directly affected factors influencing adherence to SPs. The factors influencing adherence to SPs directly affected SP compliance. Quality of care mediated between safety climate and the factors influencing adherence to SPs. Factors influencing adherence to SPs mediated between safety climate, quality of care, and SP compliance.
Conclusions
The study's variables are not distinct but overlapping nursing concepts that must be examined collectively. Nurse administrators can utilize the emerging model to formulate strategies and regulations for evaluating and enhancing nurses' safety climate, quality of care, and SP adherence and compliance.
Clinical Relevance
Our findings may impact policymaking, organizational, and individual levels to improve nurses' clinical practice.
Patient or Public Contribution
This study had no patient contribution or public funding.
{"title":"Nurses' safety climate, quality of care, and standard precautions adherence and compliance: A cross-sectional study","authors":"Daniel Joseph E. Berdida PhD, RN, RM, Rizal Angelo N. Grande EdD, RN","doi":"10.1111/jnu.12960","DOIUrl":"10.1111/jnu.12960","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Investigations about the interrelationships of nurses' safety climate, quality of care, and standard precautions (SP) adherence and compliance remain particularly scarce in the literature. Thus, we tested a model of the associations between nurses' safety climate, quality of care, and the factors influencing adherence and compliance with SPs utilizing the structural equation modeling (SEM) approach.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>Cross-sectional design complying with STROBE guidelines.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using convenience sampling, nurses (<i>n</i> = 730) from the Philippines were recruited. Data were collected between April and September 2022 using four validated self-report measures. Spearman Rho, mediation and path analyses, and SEM were employed for data analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Acceptable model fit indices were shown by the emerging model. The safety climate is positively associated with quality of care and factors influencing adherence to and compliance with SPs. Quality of care directly affected factors influencing adherence to SPs. The factors influencing adherence to SPs directly affected SP compliance. Quality of care mediated between safety climate and the factors influencing adherence to SPs. Factors influencing adherence to SPs mediated between safety climate, quality of care, and SP compliance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The study's variables are not distinct but overlapping nursing concepts that must be examined collectively. Nurse administrators can utilize the emerging model to formulate strategies and regulations for evaluating and enhancing nurses' safety climate, quality of care, and SP adherence and compliance.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Relevance</h3>\u0000 \u0000 <p>Our findings may impact policymaking, organizational, and individual levels to improve nurses' clinical practice.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Patient or Public Contribution</h3>\u0000 \u0000 <p>This study had no patient contribution or public funding.</p>\u0000 </section>\u0000 </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 3","pages":"442-454"},"PeriodicalIF":3.4,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139570360","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}
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