BMC Nursing最新文献

{"title":"Educational needs for nursing manager competency in Korean hospitals: multi-center cross-sectional study.","authors":"Seung-Min Lee, Beob-Wang Ahn, Mi Yu","doi":"10.1186/s12912-024-02585-6","DOIUrl":"https://doi.org/10.1186/s12912-024-02585-6","url":null,"abstract":"<p><strong>Background: </strong>Nursing managers have a critical responsibility for high-quality care, nursing staff support, and business operations for hospital outcomes. As the healthcare environment has changed, the role of nursing managers and the competencies required have evolved. This study aims to assess the educational needs for nursing management competency among 155 nursing managers in one tertiary and six general hospitals in South Korea.</p><p><strong>Methods: </strong>Data were collected from April 1 to May 20, 2023, using self-reported questionnaires. The Borich needs assessment and locus for focus model were used to analyze educational needs.</p><p><strong>Results: </strong>The results revealed that key components in the administrative manager (ensuring a safe working environment) and leader (fostering a positive workplace atmosphere) domains were most important. The lowest-scored item for performance was \"Completing education to enhance competency as a manager and participating in external activities\" in the educator domain. The most difficult item was \"Allocation of appropriate nursing staff based on nursing requirements and adjustment of tasks\" in the administrative manager domain. The top-priority items in administrative manager competencies were \"Allocation of appropriate nursing staff based on nursing requirements, and adjustment of tasks\" and \"Development and implementation of plans for securing resources (staff, equipment, space, budget, etc.) necessary for nursing tasks.\"</p><p><strong>Conclusions: </strong>These findings underscore the necessity for nursing organizations to provide specialized training modules that address the identified needs, especially focusing on human resource management skills, the allocation of nursing staff, and resource acquisition and management for nursing managers. Furthermore, nursing organizations should support ongoing education and professional development activities through recognition, financial support, or career progression opportunities.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"918"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk factors for anxiety, depression, stress, and their comorbidities among nurses: a prospective cohort from 2020 to 2022.","authors":"Xiaomei Hu, Wenbi Mu, Jing Zhou, Hang Zhou, Xiaokai Yan, Kunyan Yue, TongLing Liu, Wenbi Huang, Liping Ren, Fengming Zou, Anyan Zhang, Xia Sun, Hui Zeng","doi":"10.1186/s12912-024-02577-6","DOIUrl":"https://doi.org/10.1186/s12912-024-02577-6","url":null,"abstract":"<p><strong>Background: </strong>Nurses are at the forefront of healthcare delivery during the COVID-19, placing them at an increased risk for mental health issues. This study aimed to identify the risk factors for anxiety, depression, stress, and their comorbidities among nurses during the 2020-2022 period.</p><p><strong>Methods: </strong>A prospective cohort of nurses in Zunyi City, China, was followed from 2020 to 2022. The Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), and Perceived Stress Scale (PSS) were used to assess anxiety, depression, and stress, respectively. A self-reported questionnaire was utilized to collect data on demographic characteristics, lifestyle habits, socioeconomic status, work-related factors, and medical history. The Healthy Eating Index (HEI) was calculated to evaluate diet quality. Univariate and multivariate logistic regression analyses were conducted to examine the associations between risk factors and mental health outcomes.</p><p><strong>Results: </strong>Among the 516 participating nurses, the incidence rates of new-onset anxiety, depression, and stress were 27.1%, 33.9%, and 39.9%, respectively. Frontline experience with infected patients, night shift work, longer working hours, and higher body mass index were consistently associated with increased risks of anxiety, depression, and stress, whereas a higher healthy eating index score was linked to reduced odds of these mental health outcomes. Notably, higher BMI (≥ 28: OR = 1.67, 95% CI: 1.12-2.16, p = 0.011), night shifts (> 1/week: OR = 5.12, 95% CI: 3.64-5.99, p < 0.001), longer working hours (> 40/week: OR = 1.99, 95% CI: 1.66-2.89, p < 0.001), and frontline experience (OR = 6.11, 95% CI: 4.52-8.88, p < 0.001) significantly increased comorbidity risk, while higher HEI (> 3: OR = 0.51, 95% CI: 0.36-0.70, p < 0.001) reduced the risk.</p><p><strong>Conclusion: </strong>Our study highlights the considerable mental health burden among nurses during the 2020-2022 period and identifies key risk factors associated with anxiety, depression, stress, and their comorbidities. These findings underscore the importance of providing targeted interventions and support for nurses, including workload management, work-life balance promotion, and healthy lifestyle encouragement, to mitigate the negative consequences of identified risk factors and improve mental health outcomes.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"916"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Communication training program for nurses caring for patients with aphasia: a quasi-experimental study.","authors":"Yujin Hur, Younhee Kang","doi":"10.1186/s12912-024-02599-0","DOIUrl":"https://doi.org/10.1186/s12912-024-02599-0","url":null,"abstract":"<p><strong>Background: </strong>Nurses are key communication partners for patients with aphasia. Nurses' skills are vital for improving the patients' environment and nursing performance. This study develops and evaluates the effectiveness of a communication training program for nurses who care for patients with aphasia.</p><p><strong>Methods: </strong>A program was developed based on the Intervention Mapping Protocol. Then, a simulation using a standardized patient with aphasia and surveys were conducted. Program effectiveness was evaluated using a quasi-experimental framework with a non-equivalent control group and pretest-posttest non-synchronized design.</p><p><strong>Results: </strong>The two groups exhibited statistical significant differences in health communication competence, knowledge of aphasia, patient advocacy, clinical decision-making, and compassionate competence.</p><p><strong>Conclusion: </strong>This study developed communication training for nurses who care for patients with aphasia. The effectiveness test showed that this training affected nurses' knowledge, attitude, and skills. Clearly, communication education for nurses is important to provide comprehensive care for patients with aphasia and can enhance nursing.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"893"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of working night shifts on cardiac autonomic nervous regulation during the six-minute walk test in nurses.","authors":"Taihe Zhan, Xiumei Wei, Ziying Zhang, Zhimin Shi, Hongyan Xie, Xiaotao Ma, Suyue Pan, Daogang Zha","doi":"10.1186/s12912-024-02563-y","DOIUrl":"https://doi.org/10.1186/s12912-024-02563-y","url":null,"abstract":"<p><strong>Background: </strong>Clinical nurses frequently face the necessity of working night shifts, often with insufficient opportunities for timely sleep recovery, which may negatively impact autonomic nervous system regulation. The aim of this study was to evaluate changes in heart rate variability (HRV) after the six-minute walk test (6MWT) in nurses post-night shift and to explore the impact of night shift work on cardiac autonomic regulation.</p><p><strong>Methods: </strong>Thirty-five female nurses, with a mean age of 28.7 years (range 21.0-37.0 years), participated in this study. On the first and second mornings after a night shift, the nurses performed the 6MWT. During the test, electrocardiogram (ECG) signals, blood pressure, and walking distance were recorded simultaneously.</p><p><strong>Results: </strong>Compared with the second postshift morning, on the first postshift morning, nurses presented higher ratings of perceived exertion (RPE), higher Borg scale scores, and a slower pulse rate before and after the 6MWT but covered a shorter walking distance. Additionally, HRV indicators such as the SDNN, RMSSD, pNN50, TP, VLF, LF, and HF were all higher on the first postshift morning. Regarding the amplitude of cardiac autonomic nervous regulation, variations in the RMSSD and pNN50 were both greater during the 6MWT on the first postshift morning, although there was no significant difference in post-6MWT recovery.</p><p><strong>Conclusions: </strong>Night shifts appear to increase the activity of the autonomic nervous system in nurses on the first postshift morning and exert a greater inhibitory effect on parasympathetic activity during the 6MWT. Therefore, it is important to ensure timely recovery sleep and improve autonomic regulation after working night shifts.</p><p><strong>Keywords: </strong>Heart rate variability; Night shift; Autonomic nervous system; Six-minute walk test; Nurses.</p><p><strong>Trial registration: </strong>This study was retrospectively registered in the Clinicaltrials.gov. Registration Date: August 1, 2024.</p><p><strong>Clinicaltrials: </strong>gov ID: NCT06542510.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"907"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Searching for private patient information in Internet resources (patient-targeted Google)-experiences of nurses and nursing students.","authors":"Patrycja Zurzycka, Katarzyna Wojtas, Zofia Musiał, Grażyna Puto, Katarzyna Czyżowicz, Iwona Repka","doi":"10.1186/s12912-024-02592-7","DOIUrl":"https://doi.org/10.1186/s12912-024-02592-7","url":null,"abstract":"<p><strong>Background: </strong>The Internet is a source of many information about users who are unaware of the extent to which their privacy and anonymity are abolished. The purpose of this study was to evaluate the prevalence of patient-targeted Google and to know about selected factors influencing such searches among nurses and midwives, as well as nursing and midwifery students.</p><p><strong>Methods: </strong>The study was conducted using a diagnostic survey method and the research tool was an author's survey questionnaire that included a sociodemographic section, questions on patient-targeted Google, and a description of three cases written for the study representing the behavior of members of the therapeutic team in specific situations related to the provision of health services asking respondents to evaluate the actions taken.</p><p><strong>Results: </strong>The majority of respondents (59.82%) looked for information about patients on the Internet. The main (79.34%) reason for starting the search was curiosity and the desire to understand the patient's behavior (50.18%). According to 54.06%, obtaining information about patients without informing them is unethical and may violate the principle of informed consent (56.07%) and privacy (55.19%).</p><p><strong>Conclusions: </strong>The phenomenon of searching for private information about patients on the Internet is present among polish nurses and midwives as well as students of nursing and midwifery. Due to the potential benefits and risks associated with conducting patient targeted googling there is a need for education about patient-targeted Google in the scope of basic education of students, but also postgraduate education of nurses and midwives.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"919"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between personality traits and professional behavior with career adaptability in nursing and midwifery students.","authors":"Asal Rahbar Zeraati, Nima Eskandari, Azita Fathnezhad-Kazemi","doi":"10.1186/s12912-024-02595-4","DOIUrl":"https://doi.org/10.1186/s12912-024-02595-4","url":null,"abstract":"<p><strong>Background: </strong>Career adaptability enables individuals to navigate their career paths and address workplace challenges by gaining insight into themselves and their profession, empowering them to make informed decisions. This study was performed to reveal the association of nursing and midwifery students' personality traits and professional behavior with career adaptability.</p><p><strong>Method: </strong>This cross-sectional study's sample consisted of nursing and midwifery students in the medical sciences of a state university in Tabriz (n = 210). The data were collected using the Student Information Questionnaire, Students Professional Behavior Questionnaire, Ten Item Personality Inventory, and Career Adapt-Abilities Scale. Descriptive tests and Pearson's correlation analysis were used for data analysis. Linear regression analysis was used to determine the variables that affect the career adaptability of students.</p><p><strong>Results: </strong>The mean (SD) points on the personality trait sub-dimensions of nursing and midwifery students were highest in agreeableness 8.95 (3.03) and lowest in extraversion 7.54 (2.30). The mean (SD) on the Scale of Student's Professional Behavior and Career Adapt-Abilities Scale were 114.88 (14.14) and 97.22 (15.59), respectively. The statistically significant association between the personality traits, Student's Professional Behavior, with career adaptability scores were weak and moderate, respectively. The 3 regression models used to determine the variables that affect the career adaptability of nursing students were significant. Of the variables in the models, professional behavior, extraversion, and how to choose a field (voluntary or non-voluntary) significantly influenced the total score on career adaptability. And the greatest impact was related to the professional behavior (β = 0.373, P < 0.001).</p><p><strong>Conclusion: </strong>The results showed a direct correlation between personality traits with career adaptability. Also, high professional behavior and the voluntary choice of study field can be effective on career adaptability. The results suggest informing the students to choose the right field and planning and carrying out the necessary interventions to provide the proper education on professional behaviors. In addition, creating opportunities to improve personality traits can help the students' career adaptability.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"906"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Current status of vocational delay of gratification among practicing nursing students and its influencing factors: a cross-sectional study.","authors":"Tianyu Chu, Xian Chen, Qian Zhang, Juanjuan Yang, Hui Zhou, Yibo Wu, Jie Jiao","doi":"10.1186/s12912-024-02572-x","DOIUrl":"https://doi.org/10.1186/s12912-024-02572-x","url":null,"abstract":"<p><strong>Background: </strong>Practicing nursing students play a critical role in addressing the nursing workforce shortage. Their vocational delay of gratification influences career planning and practice quality. This study aimed to assess the level of vocational delay of gratification among nursing students and identify its influencing factors.</p><p><strong>Methods: </strong>A convenience sample of 250 nursing students practicing in three tertiary hospitals in Anhui Province (February-May 2024) was studied. Data were collected using a general information questionnaire, job involvement scale, clinical communication ability scale, and vocational delay of gratification scale. Random forest, independent samples t-test, analysis of variance (ANOVA), and multiple linear regression analyses were applied to identify the key influencing factors.</p><p><strong>Results: </strong>There were 39 (15.6%) males and 211 (84.4%) females who participated in this study and the mean score for vocational delay of gratification was (2.843 ± 0.513), the mean score for level of job involvement was (2.468 ± 0.923), and the mean score for ability to communicate with patients was (2.830 ± 1.083).Influencing factors included willingness to upgrade education, whether you are willing to work in nursing after graduation, whether a relative works in a medical facility, ability to communicate with patients, intention to study nursing, level of job involvement(P<0.05).</p><p><strong>Conclusion: </strong>Nursing students demonstrated a moderate-to-high level of vocational delay of gratification. Training programs addressing these factors can enhance students' capabilities, improve internship quality, and support long-term career development. The study conducted in three hospitals in Anhui Province may limit the generalizability of the results due to regional differences in education and practice. Nonetheless, this study provides important insights for optimizing the career development and retention of nursing interns.</p><p><strong>Trial registration: </strong>No medical interventions were administered to human participants in this study.</p><p><strong>Clinical trial number: </strong>not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"898"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interventions for family involvement enhance end-of-life care for hospitalized patients: an integrative review.","authors":"Yujin Kim, Dong-Hee Kim","doi":"10.1186/s12912-024-02538-z","DOIUrl":"https://doi.org/10.1186/s12912-024-02538-z","url":null,"abstract":"<p><strong>Background: </strong>Integrating family members into the care of hospitalized end-of-life patients enhances patient-family-centered care and significantly influences the experiences of patients and their families. This study used the integrative review methodology to assess the scope and effectiveness of interventions designed to facilitate family involvement in end-of-life care. It identified gaps and consolidated existing knowledge to improve nursing practices.</p><p><strong>Methods: </strong>This integrative review encompasses both experimental and non-experimental studies. The process included problem identification, literature search, data evaluation, analysis, and integration. The literature search targeted studies describing interventions for family involvement in EOLC using databases such as PubMed, CINAHL, Embase, and Web of Science. Data evaluation was conducted by assessing the quality of the studies using the Mixed Methods Appraisal Tool. Data analysis and integration were conducted by synthesizing the results of the selected studies and identifying the elements of family involvement using the 'Components of Family Involvement' framework.</p><p><strong>Results: </strong>Of the 8,378 identified studies, 26 were eligible for inclusion. Interventions involving the families of patients with terminal illness varied, including programs to enhance communication among patients, families, and healthcare providers; family meetings; decision-making support; and digital visits and rounds. The findings show that these interventions improve patients' psychological and physical comfort, family satisfaction, and communication. However, some families reported increased distress. The most frequently addressed elements of family involvement were communication and receiving information, followed by decision-making and meeting care needs. Family presence and contribution to care were the least addressed elements in the interventions.</p><p><strong>Conclusions: </strong>This integrative review highlights the effectiveness of interventions to increase family involvement in end-of-life care, demonstrating positive impacts on patient comfort, family satisfaction, and communication. Despite progress in incorporating families into communication and decision-making, further efforts are needed to ensure their presence and direct care involvement. Future research should focus on improving these interventions to enhance scalability and support comprehensive family involvement, including digital tools for participation.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"917"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting nursing workload in digestive wards based on machine learning: A prospective study.","authors":"Yulei Song, Xueqing Zhang, Dan Luo, Jiarui Shi, Qiongqiong Zang, Ye Wang, Haiyan Yin, Guihua Xu, Yamei Bai","doi":"10.1186/s12912-024-02570-z","DOIUrl":"https://doi.org/10.1186/s12912-024-02570-z","url":null,"abstract":"<p><strong>Background: </strong>The process of assessing and allocating nursing staff, as well as evaluating performance, relies heavily on nursing workload, which is strongly associated with patient safety outcomes. Nevertheless, most previous studies have utilized cross-sectional data collection methods, which limit the precision of workload prediction. Static workload models do not incorporate longitudinal changes in influential factors, potentially resulting in delayed or erroneous nursing management decisions and ultimately causing imbalances in nurses' workload.</p><p><strong>Aim: </strong>To employ machine learning algorithms to facilitate the dynamic prediction of nursing workload on the basis of patient characteristics.</p><p><strong>Methods: </strong>This prospective cohort quantitative study was conducted between March 2019 and August 2021 in two general hospitals located in China. Data on the characteristics of 133 patients over the course of 1339 hospital days, as well as direct nursing time, were collected. A longitudinal investigation of nursing workload was carried out, applying multiple linear regression to identify measurable factors that significantly impact nursing workload. Additionally, machine learning methods were applied to dynamically predict the nursing time needed for each patient.</p><p><strong>Results: </strong>The mean direct nursing workload varied greatly across hospitalizations. Significant factors contributing to increased care needs included complications, comorbidities, body mass index (BMI), income, history of past illness, simple clinical score (SCS), and activities of daily living (ADL). The predictive performance improved through machine learning, with the random forest model demonstrated the best performance (root mean square error (RMSE): 1148.38; coefficient of determination (R²): 0.74; mean square error (MSE): 1318744.64).</p><p><strong>Conclusions: </strong>The variability in nursing workload during hospitalization is influenced primarily by patient self-care capacity, complications, and comorbidities. The random forest algorithm, a machine learning algorithm, effectively handles a wide range of features, such as patient characteristics, complications, comorbidities, and other factors. This algorithm has demonstrated good performance in predicting workload.</p><p><strong>Implications for nursing management: </strong>This study introduces a quantitative model designed to evaluate nursing workload throughout the duration of hospitalization. By employing the model, nursing managers can consider multiple factors that impact workload comprehensively, resulting in enhanced comprehension and interpretation of workload variations. Through the application of a random forest algorithm for workload prediction, nursing managers can anticipate and estimate workload in a proactive and precise manner, thereby facilitating more efficient human resource planning.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"908"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nurses' experiences with virtual care during the COVID-19 pandemic: a qualitative study in primary care.","authors":"Crystal Vaughan, Lindsay Hedden, Julia Lukewich, Maria Mathews, Emily Gard Marshall, Leslie Meredith, Dana Ryan, Sarah Spencer, Suzanne Braithwaite, Jamie Wickett, Stan Marchuk, Emilie Dufour","doi":"10.1186/s12912-024-02540-5","DOIUrl":"https://doi.org/10.1186/s12912-024-02540-5","url":null,"abstract":"<p><strong>Background: </strong>During the COVID-19 pandemic, virtual care was used to deliver primary care services. Nurses contributed to primary care teams' capacity to deliver care virtually. This study explored nurses' roles in virtual care delivery in primary care and the barriers and facilitators that influenced their contributions.</p><p><strong>Methods: </strong>We employed a qualitative descriptive approach and conducted semi-structured interviews with nurses representing each regulatory designation (i.e., Nurse Practitioners, Registered Nurses, Licensed/Registered Practical Nurses) working in primary care in four Canadian provinces (i.e., British Columbia, Ontario, Nova Scotia, and Newfoundland and Labrador). We performed thematic analysis on data related to the delivery of virtual care.</p><p><strong>Results: </strong>We interviewed seventy-six nurses and identified three key themes and various sub-themes related to virtual nursing practice during the COVID-19 pandemic: (1) variable adoption of virtual care among nurses, (2) facilitators and barriers to virtual nursing practice, and (3) impacts of virtual delivery on care provision by nurses. Nurses' involvement in virtual care varied across designations and nurses recalled various facilitators and impediments that influenced their virtual care experience, such as guidance documents, funding models, and the availability of equipment. Virtual care influenced nurses' workflow, their ability to deliver patient-centred care, and their ability to bridge the care gap.</p><p><strong>Conclusions: </strong>Primary care teams are increasingly relying upon nurses to support virtual care delivery, emphasizing the need to understand nursing roles in virtual care. Primary care funding models should be leveraged to support nurses in virtual care delivery; and standardized learning opportunities and guidance documents focused on virtual care should be available to support primary care nurses and strengthen their contributions in future primary care teams that involve virtual nursing care.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":"23 1","pages":"896"},"PeriodicalIF":3.1,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}