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During the COVID-19 pandemic, students from two schools of nursing, in China and the United States respectively, engaged in a transcultural simulation activity to explore how a global healthcare crisis has been managed within their different cultures. This article describes the development and implementation of the project and evaluates student perspectives on the simulation...s influence on increasing awareness of diversity, equity, and inclusion. Data for this project were collected through student verbal and written reflections and faculty comments.Students reported the virtual simulation positively impacted their learning and enjoyed the opportunity to navigate through a virtual scenario collaboratively while discussing cultural similarities and differences. Faculty noted the simulation was valuable and described challenges faced during the development.Students and faculty found the simulation was a meaningful learning experience. Findings suggests that the transcultural simulation improved student knowledge of cultural competence and understanding of diversity, equity, and inclusion constructs.

AIM: The purpose of this project was to connect nursing students from schools of nursing in China and the United States for co-learning using virtual simulations. BACKGROUND: With technology and international partnerships, nursing programs can offer global education without students traveling to other countries. METHOD: Virtual simulations were produced by each school for the project. Students completed them in two synchronous 1.5-hour virtual sessions, one month apart. At the end of each session, students completed the Simulation Effectiveness Tool-Modified (SET-M) and Nurses Clinical Reasoning Scale (NCRS). RESULTS: Scores on the SET-M ranged from 75.0 to 100 percent on simulation 1 (video vignettes focused on prioritization) and 88.9 to 100 percent on simulation 2 (computer-based obstetrics case). Most students strongly agreed or agreed that the simulation improved their clinical reasoning skills. CONCLUSION: Virtual simulations allowed students to learn together and develop an awareness of differences in nursing practices across countries.

Introduction: Acupuncture has demonstrated effectiveness for symptom management among breast cancer survivors. This meta-analysis aims to evaluate the effect of acupuncture on treatment-related symptoms among breast cancer survivors. Methods: The authors searched PubMed, CINAHL, and EMBASE for relevant randomized clinical trials (RCTs) of acupuncture for managing treatment-related symptoms published in English through June 2021. They appraised the quality of each article using the Cochrane Collaboration Risk of Bias Criteria. The primary outcomes were pain, hot flashes, sleep disturbance, fatigue, depression, lymphedema, and neuropathy as individual symptoms. They also evaluated adverse events reported in acupuncture studies. Results: Of 26 selected trials (2055 patients), 20 (1709 patients) were included in the meta-analysis. Acupuncture was more effective than control groups in improving pain intensity [standardized mean difference (SMD) = −0.60, 95% confidence intervals (CI) −1.06 to −0.15], fatigue [SMD = −0.62, 95% CI −1.03 to −0.20], and hot flash severity [SMD = −0.52, 95% CI −0.82 to −0.22]. The subgroup analysis indicated that acupuncture showed trends but not significant effects on all the treatment-related symptoms compared with the sham acupuncture groups. Compared with waitlist control and usual care groups, the acupuncture groups showed significant reductions in pain intensity, fatigue, depression, hot flash severity, and neuropathy. No serious adverse events were reported related to acupuncture intervention. Mild adverse events (i.e., bruising, pain, swelling, skin infection, hematoma, headache, menstrual bleeding) were reported in 11 studies. Conclusion: This systematic review and meta-analysis suggest that acupuncture significantly reduces multiple treatment-related symptoms compared with the usual care or waitlist control group among breast cancer survivors. The safety of acupuncture was inadequately reported in the included studies. Based on the available data, acupuncture seems to be generally a safe treatment with some mild adverse events. These findings provide evidence-based recommendations for incorporating acupuncture into clinical breast cancer symptom management. Due to the high risk of bias and blinding issues in some RCTs, more rigorous trials are needed to confirm the efficacy of acupuncture in reducing multiple treatment-related symptoms among breast cancer survivors.

Patients with gastrointestinal cancers experience diurnal variations in fatigue severity during chemotherapy that decrease their functional status and quality of life.Study purposes were to identify subgroups of patients with distinct co-occurring morning and evening fatigue profiles and evaluate for differences among these subgroups in demographic, clinical, stress, and symptom characteristics.Patients with gastrointestinal cancers (n = 405) completed questionnaires 6 times over 2 cycles of chemotherapy. The Lee Fatigue Scale was used to evaluate diurnal variations in fatigue severity. Latent profile analysis was used to identify subgroups of patients with distinct co-occurring morning AND evening fatigue profiles. Differences among the subgroups in demographic, clinical, stress, and symptom characteristics at enrollment were evaluated using parametric and nonparametric analyses.Two classes were identified, namely: low morning and moderate evening fatigue (ie, Low-Moderate, 60.0%) and high morning and high evening fatigue (ie, Both High, 40.0%). Compared with the Low-Moderate class, the Both High class was significantly younger, female, unmarried, and unemployed and lacked regular exercise. In addition, they had childcare responsibilities, lower annual income, lower functional status, higher comorbidity burden, and self-reported anemia and depression. Patients in the Both High class reported higher levels of anxiety, depressive symptoms, sleep disturbance, pain, and stress, and lower levels of energy and cognitive function.Findings provide new insights into the risk factors for higher levels of co-occurring morning and evening fatigue in patients with gastrointestinal cancers.Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.

Background and Objectives Social networks affect the health and well-being of older adults. Advancements in technology (e.g., digital devices and mHealth) enrich our ability to collect social networks and health data. The purpose of this scoping review was to identify and map the use of technology in measuring older adults’ social networks for health and social care. Research Design and Methods The Joanna Briggs Institute methodology was followed. PubMed (MEDLINE), Sociological Abstracts, SocINDEX, CINAHL, and Web of Science were searched for relevant articles. Conference abstracts and proceedings were searched via Conference Papers Index, the American Sociological Society, and The Gerontological Society of America. Studies published in English from January 2004 to March 2020 that aimed to improve health or social care for older adults and used technology to measure social networks were included. Data were extracted by 2 independent reviewers using an a priori extraction tool. Results The majority of the 18 reviewed studies were pilot or simulation research conducted in Europe that focused on older adults living in the community. The various types of technologies used can be categorized as environment-based, person-based, and data-based. Discussion and Implications Technology facilitates objective and longitudinal data collection on the social interactions and activities of older adults. The use of technology to measure older adults’ social networks, however, is primarily in an exploratory phase. Multidisciplinary collaborations are needed to overcome operational, analytical, and implementation challenges. Future studies should leverage technologies for addressing social isolation and care for older adults, especially during the coronavirus disease 2019 pandemic.

Identify subgroups of gastrointestinal (GI) cancer patients with distinct multiple co-occurring symptom profiles and evaluate for differences among these subgroups in demographic and clinical characteristics and quality of life (QOL) outcomes. Patients with GI cancers (n = 399) completed the Memorial Symptom Assessment Scale (MSAS) that was used to assess for multiple co-occurring symptoms. Latent class analysis (LCA) was used to identify subgroups of patients with distinct symptom profiles using symptom occurrence ratings. Differences in demographic and clinical characteristics and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests. All Low (36.6%), Moderate (49.4%), and All High (14.0%) classes were identified. Compared to the All Low class, patients in the other two classes were significantly younger and were more likely to report depression and back pain. Compared to the other two classes, patients in the All High class had fewer years of education and a higher number of comorbidities. Significant differences were found among the three classes for comorbidity burden and total number of MSAS symptoms (i.e., All Low Moderate > All High). A higher symptom burden was associated with poorer QOL outcomes. The first study to identify subgroups of patients with GI cancers based on distinct symptom profiles. LCA allowed for the identification of risk factors associated with a higher symptom burden. Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.

Problem identification Patients with gastric cancer experience multiple disease- and treatment-related symptoms. The purpose of this review was to describe the common and co-occurring symptoms experienced by patients with gastric cancer. Literature search Search terms, such as gastric cancer, symptoms, and experience, were used to search PubMed®, CINAHL®, and PsycINFO® for empirical papers published from January 1990 to July 2019. Data evaluation The search yielded 1,259 articles; 25 studies (21 observational and 4 interventional) were included in this review. Each study was systematically evaluated. Synthesis The most common symptoms were categorized into physical and affective/cognitive domains. Three to 17 (median = 7) symptoms occurred concurrently. The severity of most symptoms was reported as mild to moderate. However, patients experienced varying levels of symptom severity following treatment trajectories. Older age, female gender, advanced cancer stage, low socioeconomic status, and total gastrectomy were associated with a greater number and severity of symptoms. Implications for practice Future research of symptom clusters may clarify the phenotypes and relationship between multiple co-occurring symptoms in patients with gastric cancer to develop targeted interventions that support symptom self-management for this population.

BACKGROUND Patients with gastrointestinal cancers experience moderate to high levels of sleep disturbance during chemotherapy that decreases their functional status and quality of life (QOL). OBJECTIVE The objectives of this study were to identify subgroups of patients with gastrointestinal cancers with distinct sleep disturbance profiles and evaluate for differences among these subgroups in demographic, clinical, and sleep characteristics, as well as co-occurring symptoms and QOL outcomes. METHODS Patients (n = 405) completed questionnaires 6 times over 2 cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct sleep disturbance profiles. RESULTS Three distinct sleep disturbance profiles (ie, low, high, very high) were identified. Compared with the low class, patients in the other 2 classes were significantly younger and less likely to be married and to exercise on a regular basis and received a higher number of previous treatments. Compared with the low class, patients in the other 2 classes reported higher levels of anxiety, depressive symptoms, morning and evening fatigue, and pain and lower levels of attentional function and QOL scores at enrollment. CONCLUSIONS This study is the first to use latent profile analysis to identify subgroups of patients with gastrointestinal cancers with distinct sleep disturbance profiles. Findings provide new insights on the associations between sleep disturbance and multiple co-occurring symptoms in these patients. IMPLICATIONS FOR PRACTICE Clinicians can identify patients who are at the highest risk for sleep disturbance and recommend a variety of sleep hygiene interventions (eg, establishment of a bedtime routine), as well as initiate interventions for other co-occurring symptoms.

Background: Problems in affective and cognitive functioning are among the most common concurrent symptoms that breast cancer patients report. Social relationships may provide some explanations of the clinical variability in affective-cognitive symptoms. Evidence suggests that social relationships (functional and structural aspects) can be associated with patients’ affective-cognitive symptoms; however, such an association has not been well studied in the context of breast cancer. The purpose of this scoping review was to address the following question: What social relationships are associated with affective-cognitive symptoms of women with breast cancer? This scoping review used the framework proposed by Arksey and O’Malley and PRISMA-Sc. Extracted data included research aims, design, sample, type and measures of social relationships (functional and structural), and the association between social relationships and affective-cognitive symptoms. Results: Of sixty-five included studies, none of them focused on cognitive symptoms of breast cancer patients; thus, in this review, we focused on only the affective symptoms of breast cancer patients and their association with patients’ both aspects of social relationships. Conclusion: Our findings reveal that positive social relationships benefit in mitigating affective symptoms of women with breast cancer. Thus, health care providers need to educate patients about the importance of building solid social relationships and encourage them to participate in a supportive network of friends and family members.

Objectives: Patients with head and neck cancer experience neuropsychological symptoms (NPS) (i.e., depression, fatigue, sleep disturbance, pain, and cognitive dysfunction) during radiation therapy (RT) that decrease their functional status and quality of life. The purposes of this study were to examine and visualize the relationships among NPS within networks over time and evaluate demographic and clinical characteristics associated with symptom networks. Methods: A total of 192 patients (mean age 59.5±10.1 years, 75% male, 81% White) completed symptom questionnaires four times, namely, before RT (T1), 1 month (T2), 3 months (T3), and 1 year (T4) after RT. Network analysis was used to explore relationships among the five common NPS. Centrality indices, including strength, closeness, and betweenness, were used to describe the degrees of symptom interconnection. The network comparison test was used to assess the differences between two symptom networks. Results: Depression (reported by 13%-24% of patients) was associated with the other four symptoms, and fatigue (reported by 54%-77% of patients) was associated with the other three symptoms across four times. Based on centrality indices, depression (rstrength=1.1-1.4, rcloseness=0.07-0.08, rbetweeness=4-12) was the most central symptom in all four symptom networks, followed by fatigue (rstrength=0.8-1.0, rcloseness=0.05-0.06, rbetweeness=0-2). Higher levels of stress and no alcohol use were associated with stronger symptom networks in network global strength (low stress: 1.49 vs. moderate to high stress: 1.92; p=0.02; no alcohol use: 2.38 vs. alcohol use: 1.75; p=0.01), but not in network structure or edge strength prior to RT. No significant differences were found in other time points. Conclusions: Network analysis provided a novel approach to gain insights into the relationships of co-occurring NPS and identify central symptoms and associated characteristics. Clinicians can use this information to develop personalized symptom management interventions that target central symptoms and interactions within a network. Citation Format: Yufen Lin, Deborah W. Bruner, Sudeshna Paul, Andrew H. Miller, Nabil F. Saba, Kristin A. Higgins, Dong M. Shin, Wenhui Zhang, Christine Miaskowski, Canhua Xiao. Neuropsychological symptoms in patients with head and neck cancer undergoing radiation therapy: A network analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 500.

PROBLEM IDENTIFICATION A systematic review and meta-analysis was conducted to inform the development of national clinical practice guidelines on the management of cancer constipation. LITERATURE SEARCH PubMed®, Wiley Cochrane Library, and CINAHL® were searched for studies published from May 2009 to May 2019. DATA EVALUATION Two investigators independently reviewed and extracted data from eligible studies. The Cochrane Collaboration risk-of-bias tool was used, and the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach was used to assess the certainty of the evidence. SYNTHESIS For patients with cancer and opioid-induced constipation, moderate benefit was found for osmotic or stimulant laxatives; small benefit was found for methylnaltrexone, naldemedine, and electroacupuncture. For patients with cancer and non-opioid-related constipation, moderate benefit was found for naloxegol, prucalopride, lubiprostone, and linaclotide; trivial benefit was found for acupuncture. IMPLICATIONS FOR PRACTICE Effective strategies for managing opioid-induced and non-opioid-related constipation in patients with cancer include lifestyle, pharmacologic, and complementary approaches. SUPPLEMENTAL MATERIAL CAN BE FOUND ATNHTTPS //bit.ly/3c4yewT.

Identify subgroups of gastrointestinal (GI) cancer patients with distinct multiple co-occurring symptom profiles and evaluate for differences among these subgroups in demographic and clinical characteristics and quality of life (QOL) outcomes.Patients with GI cancers (n = 399) completed the Memorial Symptom Assessment Scale (MSAS) that was used to assess for multiple co-occurring symptoms. Latent class analysis (LCA) was used to identify subgroups of patients with distinct symptom profiles using symptom occurrence ratings. Differences in demographic and clinical characteristics and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests.All Low (36.6%), Moderate (49.4%), and All High (14.0%) classes were identified. Compared to the All Low class, patients in the other two classes were significantly younger and were more likely to report depression and back pain. Compared to the other two classes, patients in the All High class had fewer years of education and a higher number of comorbidities. Significant differences were found among the three classes for comorbidity burden and total number of MSAS symptoms (i.e., All LowModerateAll High), as well as for performance status (i.e., All LowModerateAll High). A higher symptom burden was associated with poorer QOL outcomes.The first study to identify subgroups of patients with GI cancers based on distinct symptom profiles. LCA allowed for the identification of risk factors associated with a higher symptom burden. Clinicians can use this information to identify high-risk patients and develop personalized symptom management interventions.

Background & purpose The COVID-19 pandemic has negatively impacted mental health in the general population. In this trial, our objective was to assess whether a 6-week expressive writing intervention improves resilience in a sample from the general population in the midst of the COVID-19 pandemic. Materials & methods This 6-week trial was conducted online. Eligible participants (n=63) were a sample of adults who self-identified as having been significantly affected by the COVID-19 pandemic. Primary outcome Connor-Davidson Resilience Scale (CD-RISC). Secondary outcomes Perceived Stress Scale – 10-Item (PSS-10); Center for Epidemiologic Studies Depression Scale – Revised (CESD-R); Post-Traumatic Growth Inventory (PTGI). Results Resilience measures (CD-RISC) increased from baseline (66.6 ± 14.9) to immediately post-intervention (73.0 ± 12.4; p=0.014; Cohen’s d =0.31), and at a 1- month follow-up (72.9 ± 13.6; p=0.024; Cohen’s d =0.28). Across the same timepoints, perceived stress scores (PSS-10) decreased from baseline (21.8 ± 6.6) to immediately post-intervention (18.3 ± 7.0; p=0.008; Cohen’s d =0.41), and at the 1- month follow-up to (16.8 ± 6.7; p=0.0002; Cohen’s d =0.56). Depression symptoms (CESD-R) decreased from baseline (23.3 ± 15.3) at 6 weeks (17.8 ± 15.4; p=0.058; Cohen’s d =0.22), and 10 weeks (15.5 ± 12.7; p=0.004; Cohen’s d =0.38). Posttraumatic growth (PTGI) increased from baseline (41.7 ± 23.4) at 6 weeks (55.8 ± 26.4; p=0.004; Cohen’s d =0.44), and at the 1-month follow-up (55.9 ± 29.3; p=0.008; Cohen’s d =0.49). Conclusion An online expressive writing intervention was effective at improving resilience in the midst of the COVID-19 pandemic. NCT# NCT04589104

BackgroundPurposes were to identify subgroups of patients with gastrointestinal cancers with distinct morning and evening fatigue severity profiles and evaluate for differences among these subgroups in demographic and clinical characteristics, co-occurring symptoms and quality of life (QOL) outcomes.MethodsPatients with gastrointestinal cancers (n=405) completed questionnaires six times over two cycles of chemotherapy. Latent profile analysis was used to identify distinct morning and evening fatigue profiles. Differences in demographic and clinical characteristics, co-occurring symptoms and QOL outcomes among the subgroups were evaluated using parametric and nonparametric tests.ResultsTwo distinct mornings (ie, low and very high) and three distinct evenings (ie, low, moderate and very high) fatigue classes were identified. Common risk factors for both morning and evening fatigue included younger age, lower performance status, higher comorbidity burden and self-reported depression. Higher levels of morning fatigue were associated with being unmarried, living alone, being unemployed, having a lower income, lack of regular exercise and a self-reported diagnosis of anaemia. Higher levels of evening fatigue were associated with being women, white and having childcare responsibilities. Patients in the very high morning and evening fatigue classes reported higher levels of anxiety, depressive symptoms, sleep disturbance and pain and lower levels of attentional function and poorer QOL.ConclusionFindings provide new insights into risk factors for and deleterious effects of morning and evening fatigue in patients with gastrointestinal cancers. Clinicians can use this information to identify high-risk patients and develop individualised interventions for morning and evening fatigue and other co-occurring symptoms.

Purpose Patients with gastric cancer experience an increased symptom burden with multiple co-occurring symptoms. Knowledge of patients’ symptom experiences and self-management for these symptoms is limited. The purpose of this study was to describe multiple co-occurring symptoms, symptom experiences, and symptom self-management strategies in patients with gastric cancer. Methods A qualitative descriptive approach was used for this study. Semi-structured interviews were conducted with ten American participants (median age 52.5 years, 50% female, 70% African American). Content analysis was used to explore their symptoms, experiences, and self-management strategies. Results Four themes were identified: perceptions of multiple co-occurring symptoms, complex and dynamic nature of symptom experiences, living with multiple co-occurring symptoms, and symptom self-management strategies (i.e., medications for symptoms, information seeking from the clinician team, lifestyle modification, psychosocial and spiritual support). Conclusions Our findings provide new insights into how patients with gastric cancer perceive and interpret their multiple co-occurring symptoms, contribute to our understanding of the role that inter-individual variability might play in symptom experiences, and highlight a range of self-management strategies for managing multiple co-occurring symptoms. Oncology nurses need to assess symptoms on an ongoing basis, educate patients about multiple co-occurring symptoms, and develop and test person-centered self-management interventions for these patients to enhance their symptom relief and quality of life.

A novel coronavirus pneumonia broke out and gradually developed into a global public health problem. Health care workers, especially nurses, suffered from great occupational pressure and psychological distress during the outbreak of infectious diseases. We performed a cross-sectional survey to investigate the psychological status and self-efficacy of nurses in public hospital during COVID-19 outbreak between 16th and 25th February 2020. A total of 223 nurses participated in this study. The prevalence of anxiety and depression symptoms was 40.8% (CI 95%: 34.4%-47.2%) and 26.4% (CI 95%: 20.6%-42.2%), respectively. There was no difference in the prevalence of anxiety symptoms among demographic variables. There was significant differences in the prevalence of depression symptoms according to professional titles ( P = .020). The mean score of self-efficacy was 25.90 ± 7.55. The self-efficacy was negatively correlated with anxiety ( r = −0.161, P

Selective extraction of platinum(II) is achieved by utilizing unique complexation properties of macrocyclic dioxotetra-amine (1) specific for PtII at low pH in the presence of Na2S2O3.