Clinical Nursing Research最新文献

{"title":"The Evaluation of Content Relevance and Representativeness of the New Stroke Risk Screening Scales.","authors":"Suebsarn Ruksakulpiwat, Joachim G Voss, Abhilash K Challa, Aaron Kudlowitz","doi":"10.1177/10547738241273864","DOIUrl":"10.1177/10547738241273864","url":null,"abstract":"<p><p>Stroke is a leading cause of death and disability worldwide. Early and comprehensive risk identification is essential for identifying individuals at high risk for stroke. This study aimed to evaluate each question in the new Stroke Risk Screening Scales (SRSS) and assess the domains for content relevance and representativeness. Initially, six stroke experts were invited to evaluate the SRSS questions. The content validity index (CVI), including the item-CVI (I-CVI) and the average-CVI (Ave-CVI), was then calculated. In our study, the acceptable standards for I-CVI and Ave-CVI were ≥0.78 and ≥0.9, respectively. The results showed that all invited experts accepted the invitation and evaluated the SRSS questions. The previous version of the SRSS consisted of 33 questions. Of these, 30 questions reached an I-CVI of ≥0.78, indicating good content validity. Three questions had an I-CVI of 0.67 and were considered invalid; thus, they were deleted. The overall instrument achieved an Ave-CVI of 0.95. Comprehensive SRSS are essential for effective stroke prevention planning. By facilitating the early identification of individuals at high risk for stroke, these scales help reduce the incidence and impact of stroke. The high content validity found in this study supports the reliability of the SRSS as a screening tool. In the future, implementing such validated scales in clinical practice can improve early intervention strategies, ultimately enhancing health outcomes and optimizing the use of healthcare resources.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"591-602"},"PeriodicalIF":1.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Neutropenic Sepsis in Patients with Hematologic Malignancy: A Retrospective Case-Control Study.","authors":"Jiwon Lee, Hee-Ju Kim","doi":"10.1177/10547738241273862","DOIUrl":"10.1177/10547738241273862","url":null,"abstract":"<p><p>Neutropenic sepsis (NS) is one of the leading causes of death among patients with hematologic malignancies. Identifying its predictive factors is fundamental for early detection. Few studies have evaluated the predictive factors in relation to microbial infection confirmation, which is clinically important for initiating sepsis treatment. This study aimed to determine whether selected biomarkers (i.e., body temperature, C-reactive protein, albumin, procalcitonin), treatment-related characteristics (i.e., diagnosis, duration of neutropenia, treatment modality), and infection-related characteristics (i.e., infection source, causative organisms) can predict NS in patients with hematologic malignancies. We also aimed to identify the optimal predictive cutoff points for these parameters. This retrospective case-control study used the data from a total of 163 patients (58 in the sepsis group and 105 in the non-sepsis group). We collected data with reference to the day of specimen collection, with which microbial infection was confirmed. Multiple logistic regression was used to determine predictive risk factors and the area under the curve (AUC) of the receiver operating characteristic for the optimal predictive cutoff points. The independent predictors of NS were average body temperature during a fever episode and procalcitonin level. The odds for NS rose by 9.97 times with every 1°C rise in average body temperature (95% confidence interval, CI [1.33, 75.05]) and by 2.09 times with every 1 ng/mL rise in the procalcitonin level (95% CI [1.08, 4.04]). Average body temperature (AUC = 0.77, 95% CI [0.68, 0.87]) and procalcitonin levels (AUC = 0.71, 95% CI [0.59, 0.84]) have fair accuracy for predicting NS, with the optimal cutoff points of 37.9°C and 0.55 ng/mL, respectively. This study found that average body temperature during a fever episode and procalcitonin are useful in predicting NS. Thus, nurses should carefully monitor body temperature and procalcitonin levels in patients with hematologic malignancies to detect the onset of NS.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"610-619"},"PeriodicalIF":1.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Criticality of Nursing Care for Patients With Alzheimer's Disease in the ICU: Insights From MIMIC III Dataset.","authors":"Zhou Yan, Guo Quan, Xue Jia-Hui","doi":"10.1177/10547738241273158","DOIUrl":"10.1177/10547738241273158","url":null,"abstract":"<p><p>Alzheimer's disease (AD) patients admitted to intensive care units (ICUs) exhibit varying survival outcomes due to the unique challenges in managing AD patients. Stratifying patient mortality risk and understanding the criticality of nursing care are important to improve the clinical outcomes of AD patients. This study aimed to leverage machine learning (ML) and electronic health records (EHRs) only consisting of demographics, disease history, and routine lab tests, with a focus on nursing care, to facilitate the optimization of nursing practices for AD patients. We utilized Medical Information Mart for Intensive Care III, an open-source EHR dataset, and AD patients were identified based on the International Classification of Diseases, Ninth Revision codes. From a cohort of 453 patients, a total of 60 features, encompassing demographics, laboratory tests, disease history, and number of nursing events, were extracted. ML models, including XGBoost, random forest, logistic regression, and multi-layer perceptron, were trained to predict the 30-day mortality risk. In addition, the influence of nursing care was analyzed in terms of feature importance using values calculated from both the inherent XGBoost module and the SHapley Additive exPlanations (SHAP) library. XGBoost emerged as the lead model with a high accuracy of 0.730, area under the curve (AUC) of 0.750, sensitivity of 0.688, and specificity of 0.740. Feature importance analyses using inherent XGBoost module or SHAP both indicated the number of nursing care within 14 days post-admission as an important denominator for 30-day mortality risk. When nursing care events were excluded as a feature, stratifying patient mortality risk was also possible but the model's AUC of receiver operating characteristic curve was reduced to 0.68. Nursing care plays a pivotal role in the survival outcomes of AD patients in ICUs. ML models can be effectively employed to predict mortality risks and underscore the importance of specific features, including nursing care, in patient outcomes. Early identification of high-risk AD patients can aid in prioritizing intensive nursing care, potentially improving survival rates.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"630-637"},"PeriodicalIF":1.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142300063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge, Attitudes, and Cultural Beliefs of Afghan Refugee Women Toward Gynecological Cancer: A Qualitative Study.","authors":"Nilgun Kuru Alici, Ayse Arikan Donmez, Ali Oguncer","doi":"10.1177/10547738241267089","DOIUrl":"10.1177/10547738241267089","url":null,"abstract":"<p><p>Gynecological cancers constitute an important global health problem with increasing incidence and prevalence. The aim of this study was to explain gynecologic cancer knowledge, attitudes, and cultural beliefs of Afghan refugee women living in Türkiye. This research was carried out as a descriptive phenomenological design for qualitative research. The study was conducted at the Refugee Support Center Association in Eskişehir, Türkiye, and data were collected between January and April 2023, guided by a semi-structured interview guide. Nineteen Afghan refugee women were interviewed. A purposive sampling method was used to recruit participants. Content analysis method was used for data analysis. Four overarching themes that described Afghan women's gynecologic cancer knowledge, attitudes, and cultural beliefs were identified: (a) limited awareness and knowledge of gynecological cancer among women, (b) women's attitudes toward gynecological cancers, (c) women's cultural beliefs regarding gynecological cancer, and (d) healthcare system factors. In line with the main themes, subthemes were created for each main theme. Afghan refugee women, who were in the double risk group as both women and refugees, had insufficient knowledge of gynecological cancers, and their cultural beliefs and attitudes played an essential role in their access to gynecological cancer-related preventive healthcare services. It is recommended that training be planned to increase the awareness and knowledge of Afghan women on gynecological cancers, considering their cultural characteristics.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"620-629"},"PeriodicalIF":1.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141767914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Meaning-in-Life Interventions for Advanced Cancer Patients: A Systematic Review and Meta-Analysis.","authors":"Youjin Kim, Soo-Hyun Nam, Boyoung Hwang","doi":"10.1177/10547738241273315","DOIUrl":"10.1177/10547738241273315","url":null,"abstract":"<p><p>This study aimed to explore the effects of meaning-in-life intervention on meaning in life, quality of life, spiritual well-being, anxiety, and depression in advanced cancer patients. Databases, including Ovid Medline, Cochrane, PsycINFO, CINAHL, and Embase, were searched to identify relevant randomized controlled trials based on predefined criteria. Seven studies were included. Meta-analysis was performed for five studies, involving 718 patients with advanced cancer. The meta-analysis revealed no significant effects of the meaning-in-life intervention on spiritual well-being, depression, and anxiety of advanced cancer patients. The insufficient number of studies and risk of bias limit the strength of the conclusions. Therefore, further studies with larger sample sizes and methodologically rigorous designs are required to evaluate the effects of meaning-in-life interventions for advanced cancer patients. Our findings can support a better understanding of the need to study meaning-in-life interventions in advanced cancer patients and foster sustained attention to recognize meaning-in-life interventions as an effective method in healthcare.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"648-658"},"PeriodicalIF":1.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing Natural Language Processing and High-Dimensional Clinical Notes to Detect Goals-of-Care and Surrogate-Designation Conversations.","authors":"Alaa Albashayreh, Keela Herr, Weiguo Fan, W Nick Street, Stephanie Gilbertson-White","doi":"10.1177/10547738241292657","DOIUrl":"https://doi.org/10.1177/10547738241292657","url":null,"abstract":"<p><p>Advance care planning, involving goals-of-care and surrogate-designation conversations, is crucial for patient-centered care. However, determining the optimal timing and participants for these conversations remains challenging. This study explored the frequency, timing, and predictors of documenting two advance care planning elements, goals-of-care and surrogate-designation conversations, in clinical notes for patients with advanced illness. In this retrospective observational study, we leveraged high-dimensional data and natural language processing (NLP) to analyze clinical notes and predict the presence or absence of advance care planning conversations. We included notes for patients treated at a Midwestern United States hospital who had advanced chronic conditions and eventually passed away. We manually labeled a gold-standard dataset (<i>n</i> = 913 notes) for the presence or absence of advance care planning conversations at the note level, achieving excellent inter-annotator agreement (90.5%). Training and testing four NLP models to detect goals-of-care and surrogate-designation conversations revealed that a transformer-based model (Bidirectional Encoder Representations from Transformers [BERT]) achieved the highest accuracy, with an F1 score of 93.6. We then deployed the BERT model to a high-dimensional corpus of 247,241 notes for 4,341 patients and detected goals-of-care and surrogate-designation conversations in the records of 85% and 60% of patients, respectively. Temporal analysis revealed that goals-of-care and surrogate-designation conversations were first documented at medians 28 and 8 days before death, respectively. Patient characteristics and referral to specialty palliative care emerged as significant factors associated with documenting these conversations. Our findings demonstrate the potential of NLP, particularly Transformer-based models like BERT, to accurately detect goals-of-care and surrogate-designation conversations in clinical narratives. This study identified significant temporal patterns, including late documentation, and patient characteristics associated with these conversations. It highlights the value of high-dimensional data in enhancing our understanding of advance care planning and offers insights for improving patient-centered care in clinical settings. Future research should explore the integration of these models into clinical workflows to facilitate timely and effective advance care planning discussions.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"10547738241292657"},"PeriodicalIF":1.7,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of the Cardiac Surgery Patient in Pain Management: The Patient Perspective.","authors":"Laura L Walton, Elsie Duff, Rakesh C Arora, Diana E McMillan","doi":"10.1177/10547738241273232","DOIUrl":"10.1177/10547738241273232","url":null,"abstract":"<p><p>One and a half million cardiac surgeries are completed worldwide each year where undertreated postoperative pain increases the risk of patient morbidity and mortality. Patient-centered pain management is recommended to improve patient outcomes but there is insufficient information regarding how the patient views their role. The objective of this study is to explore cardiac surgery patients' perspectives on their role in postoperative pain management. This study used an interpretive phenomenological design and convenience sampling. Six participants who had undergone cardiac surgery were recruited from a cardiac rehabilitation program in Western Canada. The first author conducted semi-structured digitally recorded interviews. Sociodemographic characteristics and measures of anxiety and depression were also collected. Emergent thematic analysis of the qualitative data generated three themes: <i>attitude</i>, <i>coping and care</i>, and <i>communication</i>. The findings of this study address a gap in the literature with regard to patients' perceived roles in pain management. There is a complex relationship between patient attitude, coping and care, and communication which, in turn, influences how patients view their role within the pain management continuum. These themes contribute to the development of the patient role within the pain management continuum and form an integrated feedback loop. The patient's attitude contributes to their ability to cope with pain and participate in pain assessment and management. Furthermore, their ability to cope and desire to participate influences the development of their attitude. These findings may enhance providers' understanding of the patient's perspective and improve pain management outcomes.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"538-544"},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11423549/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Philosophical Tools in Nursing Research.","authors":"Keith A Meadows","doi":"10.1177/10547738241267159","DOIUrl":"10.1177/10547738241267159","url":null,"abstract":"<p><p>The objective of this article is to illustrate the importance of the role philosophy and its tools play in the designing and undertaking of nursing research and its importance to be understood by the practicing researcher to ensure the selected methodology and the tools used provide the framework for obtaining reliable and valid answers to their research questions. The article discusses the three major paradigms (Positivism, Interpretivism, and Pragmatism) which have characterized much of health-related research together with a set of essential and practical tools with no metaphysical assumptions that will hopefully provide an explicit framework and a nomenclature which can be applied as we proceed through the research process.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"581-588"},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141767915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing Artificial Intelligence to Promote Health Equity.","authors":"Jung In Park","doi":"10.1177/10547738241270546","DOIUrl":"10.1177/10547738241270546","url":null,"abstract":"","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"507-508"},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141898828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Social Interactions in the Context of Justice System Involvement: Perspectives of Patients and Psychiatric Nurses.","authors":"Etienne Paradis-Gagné, Myriam Cader, Dave Holmes, Emmanuelle Bernheim, Janie Filion","doi":"10.1177/10547738241253882","DOIUrl":"10.1177/10547738241253882","url":null,"abstract":"<p><p>Psychiatric nurses who work with people who are involved with the justice system experience ethical and moral tension arising from their dual role (care and control). This is known to significantly affect the development of a therapeutic relationship between nurses and patients. (a) better understand how justice system involvement affects people living with mental disorders and the nurses who work with them; (b) explore the influence of judiciarization on social interactions between these actors. Grounded theory (GT) was used as the qualitative methodology for this research. Semi-structured interviews were conducted with participants. The study was carried out in three different units of a psychiatric institution: Psychiatric Intensive Care Unit, Emergency Department, and Brief Intervention Unit. A sample of 10 patients and 9 psychiatric nurses was recruited (<i>n</i> = 19). Theoretical sampling was used to recruit participants. We followed the iterative steps of qualitative GT analysis (open coding, axial coding, constant comparison, and modelization). Three main themes emerged from the qualitative analysis: (a) Experience of Justice System Involvement, (b) Crisis, (c) Relational Aspects and Importance of the Approach. These results will inform nurses and healthcare providers about the impacts of justice system involvement on people living with mental illness and how clinical practices can be better adapted to this population with complex health needs.</p>","PeriodicalId":50677,"journal":{"name":"Clinical Nursing Research","volume":" ","pages":"571-580"},"PeriodicalIF":1.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443742/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141065772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}