BMC NursingPub Date : 2026-05-08DOI: 10.1186/s12912-026-04736-3
Mansur Helal Sajid, Pothik Hossain, Ridwane Sharife, Farzana Haque
{"title":"Prevalence and determinants of compassion fatigue among nurses in a district hospital in Bangladesh.","authors":"Mansur Helal Sajid, Pothik Hossain, Ridwane Sharife, Farzana Haque","doi":"10.1186/s12912-026-04736-3","DOIUrl":"https://doi.org/10.1186/s12912-026-04736-3","url":null,"abstract":"<p><strong>Background: </strong>Compassion fatigue is an occupational hazard among nurses that arises from prolonged exposure to patient suffering and to work-related stress. In resource-limited healthcare settings, such as public district hospitals in Bangladesh, high patient loads, staffing shortages, and limited organizational support may increase nurses' vulnerability to CF. However, evidence from district-level hospitals in low- and middle-income countries is limited.</p><p><strong>Methods: </strong>A cross-sectional study was conducted between January and June 2025 among nurses working at a 250-bedded district hospital in Bangladesh. Using stratified random sampling, 380 nurses from the medicine, surgery, pediatrics, and intensive care/emergency units were recruited. Compassion fatigue was assessed using the Professional Quality of Life Scale (ProQOL-5). Descriptive statistics were used to estimate the prevalence. Chi-square tests and multivariate logistic regression were performed to identify the demographic and occupational predictors of high compassion fatigue.</p><p><strong>Results: </strong>Overall, 44.2% of nurses reported high compassion fatigue, and 37.6% reported moderate levels. The highest prevalence was observed among nurses working in intensive care/emergency units (52%). Multivariate analysis identified lack of organizational support (odds ratio [OR] 2.6, 95% confidence interval [CI] 1.6-4.1), more than 10 years of service (OR 2.3, 95% CI 1.4-3.8), and intensive care/emergency assignment (OR 1.9, 95% CI 1.2-2.9) as significant predictors of high compassion fatigue scores. Subscale analyses indicated higher burnout and secondary traumatic stress among nurses working in high-acuity departments.</p><p><strong>Conclusions: </strong>Compassion fatigue is highly prevalent among nurses in a resource-limited district hospital in Bangladesh, particularly among those working in high-acuity settings and those reporting insufficient organizational support. These findings highlight the need for targeted organizational strategies, including improved support systems, workload management, and mental health interventions, to promote nurses' well-being and sustain quality patient care in similar healthcare contexts.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857492","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}
BMC NursingPub Date : 2026-05-08DOI: 10.1186/s12912-026-04732-7
Bayan Alilyyani
{"title":"Association between emotional intelligence and turnover intention among nurses in Saudi Arabia: a cross-sectional mediation analysis.","authors":"Bayan Alilyyani","doi":"10.1186/s12912-026-04732-7","DOIUrl":"https://doi.org/10.1186/s12912-026-04732-7","url":null,"abstract":"<p><strong>Aim: </strong>This study aimed to examine the association between emotional intelligence and turnover intention among nurses in Saudi Arabia, as well as the indirect effect through job stress.</p><p><strong>Background: </strong>Nursing shortages remain a critical global concern. Turnover intention among nurses is a key workforce issue associated with negative organizational and patient outcomes.</p><p><strong>Methods: </strong>A cross-sectional, non-experimental survey design was used. Data were collected from nurses across Saudi Arabia using an online questionnaire. Emotional intelligence, job stress, and turnover intention were measured using validated instruments. Data were analyzed using SPSS and the PROCESS macro.</p><p><strong>Results: </strong>Emotional intelligence was negatively associated with job stress (B = -0.308, p < 0.001) and turnover intention (direct effect: B = -0.572, p < 0.001). Job stress was positively associated with turnover intention (B = 0.357, p = 0.012). A significant indirect effect of emotional intelligence on turnover intention through job stress was observed (B = -0.110, 95% CI [-0.215, -0.006]), indicating partial mediation.</p><p><strong>Conclusion: </strong>Emotional intelligence is associated with turnover intention both directly and indirectly through job stress. However, due to the cross-sectional design, causal relationships cannot be inferred.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857462","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 relationship between caring stress management and quality of working life in Iranian nurses: the mediating role of hope.","authors":"Mozhgan Taebi, Sharipova Gulnihol, Leila Poursoleiman, Alexey Yumashev, Samad Karkhah, Gafforov Khudoyor, Mamatqulov Bakhramjon, Soheyla Kalantari, Azadeh Emami, Reza Salehi","doi":"10.1186/s12912-026-04462-w","DOIUrl":"https://doi.org/10.1186/s12912-026-04462-w","url":null,"abstract":"<p><strong>Background: </strong>Nurses, as central providers of healthcare, face considerable occupational stress that threatens both their well-being and the quality of patient care. This study investigates the relationship between caring stress management and quality of working life (QWL) among Iranian nurses, with a focus on the mediating role of hope.</p><p><strong>Methods: </strong>Using a cross-sectional design, 300 nurses from two Tehran hospitals completed validated instruments measuring Caring stress management, QWL, and hope. Data were analyzed with SPSS and AMOS, employing structural equation modeling and bootstrapping methods.</p><p><strong>Results: </strong>Structural equation modeling revealed that caring stress management significantly predicted hope (β = 0.65, p < 0.001), and hope significantly predicted quality of working life (β = 0.45, p < 0.001). The direct effect of caring stress management on quality of working life was significant (β = 0.38, p < 0.001), and the indirect effect through hope was also significant (β = 0.29, 95% CI [0.23, 0.36], p < 0.001), confirming hope's partial mediating role. The model demonstrated good fit (χ²/df = 1.95, CFI = 0.96, RMSEA = 0.05).</p><p><strong>Conclusion: </strong>Findings highlight that caring stress management is not only directly associated with quality of working life but is also indirectly associated with it through higher levels of hope. These results underscore the importance of implementing caring stress management and hope-promoting strategies to support nurses' psychological resilience, which is linked to better quality of working life and healthcare outcomes.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857468","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}
BMC NursingPub Date : 2026-05-08DOI: 10.1186/s12912-026-04728-3
Zhenyu Li, Min Gao, Haiwei Zhang, Jingwu Ge, Qin Wang, Chun Yang, Fang Li
{"title":"Machine learning and SHAP interpretation to identify high-level compassion fatigue among operating room nurses: a multicenter cross-sectional study.","authors":"Zhenyu Li, Min Gao, Haiwei Zhang, Jingwu Ge, Qin Wang, Chun Yang, Fang Li","doi":"10.1186/s12912-026-04728-3","DOIUrl":"https://doi.org/10.1186/s12912-026-04728-3","url":null,"abstract":"<p><strong>Background: </strong>Operating room nurses (ORNs) are at high risk for compassion fatigue (CF), which significantly impairs individuals' well-being, undermines the stability of the nursing workforce, and jeopardizes patients' safety. The study aimed to analyze the prevalence and symptom characteristics of CF among ORNs, construct and compare predictive models using machine learning, and determine the relative contribution of distinct features to the models.</p><p><strong>Methods: </strong>This is a multi-center cross-sectional study. The questionnaires used in the study included a sociodemographic questionnaire, the Professional Quality of Life Scale (ProQoL), the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder 7-item Scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI). LASSO regression was used to select critical variables, and predictive models such as decision tree, logistic regression, random forest, SVM, and XGBoost were constructed and compared. SHapley Additive exPlanation (SHAP) were drawn to show the contribution of each feature to the models. SPSS version 26.0 and R software version 4.4.0 were used for statistical analyses.</p><p><strong>Results: </strong>In this study, a total of 1024 ORNs from 20 cities across China were recruited. According to ProQoL, 326 (31.8%) reported severe CF, 311 (30.4%) moderate CF, and the remaining 387 (37.8%) no or mild CF. Among the three dimensions, the incidence of secondary traumatic stress was most common (95.4%), followed by low compassion satisfaction (61.3%) and burnout (35.0%). In five machine learning-based predictive models, the RF model stood out with the highest AUC at 0.851 (95%CI: 0.795-0.907) in testing set. Following closely, the XGBoost model showed favorable efficacy with the AUC at 0.824 (95%CI: 0.769-0.879) in testing set, outperforming the remaining algorithms. The results of the two SHAP plots (RF and XGBoost) were consistent: depression, anxiety, self-mental health training, sleep quality, and length of service emerged as the five most significant contributors to the models.</p><p><strong>Conclusion: </strong>This study identified severe CF among ORNs, and the most serious symptom was secondary traumatic stress. The RF model exhibited the best performance in identifying high-level CF among ORNs, and SHAP improved the interpretability of the model. The findings of this study could help medical managers and researchers better understand CF and provide timely interventions for ORNs.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857486","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}
BMC NursingPub Date : 2026-05-08DOI: 10.1186/s12912-026-04722-9
Animesh Ghimire, Mamata Sharma Neupane
{"title":"Cultivating a rural nursing workforce: the impact of rural vs. urban education on nursing students' intentions for rural practice in Nepal.","authors":"Animesh Ghimire, Mamata Sharma Neupane","doi":"10.1186/s12912-026-04722-9","DOIUrl":"https://doi.org/10.1186/s12912-026-04722-9","url":null,"abstract":"<p><strong>Background: </strong>Rural-urban maldistribution of health professionals continues to widen health inequities, particularly in low- and middle-income countries (LMICs). In Nepal, nurses are central to frontline care in remote communities, yet \"urban pull\" forces and structural constraints undermine rural recruitment and retention. This study examined how training at a rural-embedded institution-Karnali Academy of Health Sciences (KAHS)-may shape final-year nursing students' intentions for rural/remote practice and the barriers they anticipate.</p><p><strong>Methods: </strong>We used a two-site qualitative descriptive design with an exploratory orientation. Semi-structured interviews were conducted with 22 final-year female nursing students: 11 from an urban tertiary institution and 11 from KAHS. A codebook-style applied thematic analysis was undertaken. Ajzen's Theory of Planned Behaviour and a structural intervention lens guided interpretation of how institutional context may influence beliefs underpinning rural-practice intentions.</p><p><strong>Results: </strong>Five themes captured students' accounts: (1) rural immersion and emerging rural commitment; (2) experiential learning beyond the books; (3) the relational pull of community-centred care; (4) perceived urban-rural inequities and curriculum gaps; and (5) gendered and professional barriers to rural practice. Most KAHS participants-including several of urban origin-described strong intentions to begin their careers in rural/remote settings, whereas most urban-site participants anticipated urban employment. However, anticipated constraints-especially safety concerns, social isolation, professional/academic isolation, and limited career development pathways-were repeatedly described as factors that could weaken the feasibility and sustainability of rural practice.</p><p><strong>Conclusion: </strong>Rural-embedded education may strengthen intentions to serve in rural areas by reshaping how students evaluate rural work (attitudes), social expectations (subjective norms), and the feasibility of rural service (perceived behavioural control). Yet intention formation occurs alongside persistent gendered and structural barriers. Longitudinal research is needed to track post-graduation trajectories and to identify multi-component strategies that translate rural intention into durable rural retention.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147857470","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}
BMC NursingPub Date : 2026-05-07DOI: 10.1186/s12912-026-04720-x
Qingying Zhu, Junjie Wang, Yanhong Zhang, Qianju Wu, Xiaping Wang, Yi Zhang, Liqing Su
{"title":"Latent profiles of oral health-related quality of life in temporomandibular disorders: implications for nurse-led stratified care.","authors":"Qingying Zhu, Junjie Wang, Yanhong Zhang, Qianju Wu, Xiaping Wang, Yi Zhang, Liqing Su","doi":"10.1186/s12912-026-04720-x","DOIUrl":"https://doi.org/10.1186/s12912-026-04720-x","url":null,"abstract":"<p><strong>Background: </strong>Temporomandibular disorders (TMD) are common chronic orofacial pain conditions that substantially impair oral health-related quality of life (OHRQoL). The multidimensional burden of TMD, involving pain, functional limitation, psychological distress, and maladaptive behaviors, is highly heterogeneous. However, nursing practice lacks empirically derived frameworks that support early risk stratification and profile-informed, nurse-led care.</p><p><strong>Methods: </strong>This cross-sectional study was conducted in a tertiary TMD specialty clinic between February 2024 and August 2025. A total of 515 adults diagnosed with TMD according to the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) were enrolled. OHRQoL was assessed using the OHIP-TMD-22. Latent profile analysis (LPA) was performed based on seven OHIP-TMD-22 domain scores to identify distinct OHRQoL profiles. Pain intensity (NRS), jaw functional limitation (JFLS-8), psychological distress (DASS-21), and oral-related behaviors were compared across profiles. Multinomial logistic regression was used to examine factors associated with profile membership from a nursing assessment perspective.</p><p><strong>Results: </strong>Four latent OHRQoL profiles with a clear gradient structure were identified: minimal impact (46.80%), mild-moderate impact (31.26%), psychological-functional high impact (16.89%), and severe generalized impairment (5.05%). Progressive increases in pain, functional limitation, psychological distress, and behavioral risk clustering were observed across profiles. Pain intensity, jaw functional limitation, and stress emerged as the most consistent factors associated with profile membership, while depressive symptoms were additionally associated with the most severe profile. These patterns suggest that pain, function, and stress may serve as practical candidate indicators for nurse-led early screening of patients with higher multidimensional burden.</p><p><strong>Conclusions: </strong>This study suggests that TMD is a nursing-sensitive chronic pain condition characterized by substantial heterogeneity in OHRQoL. The identified latent profiles may offer a preliminary framework for nurse-led risk stratification and stratified care planning. Integrating OHRQoL, pain, functional, and psychological assessments into routine nursing practice may help improve early identification of vulnerable subgroups and inform more tailored nursing care; however, the practical utility of this approach warrants further validation in longitudinal and multicenter studies.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844815","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}
BMC NursingPub Date : 2026-05-07DOI: 10.1186/s12912-026-04698-6
Xianghui Yu, Shaoxue Zhan, Cheng Yang, Yanbo Wang
{"title":"Current status and influencing factors of digital literacy among clinical pediatric nurses: a cross-sectional study.","authors":"Xianghui Yu, Shaoxue Zhan, Cheng Yang, Yanbo Wang","doi":"10.1186/s12912-026-04698-6","DOIUrl":"https://doi.org/10.1186/s12912-026-04698-6","url":null,"abstract":"<p><strong>Background: </strong>With the in-depth advancement of digital medical transformation, the digital literacy of clinical pediatric nurses has become a key factor affecting the quality and efficiency of pediatric nursing services. Given the unique vulnerabilities of pediatric patients-including limited expressive ability, rapid clinical deterioration, and the need for family-integrated care-understanding and enhancing digital literacy in this specialty is particularly critical. This study aims to investigate the current status of digital literacy among clinical pediatric nurses and identify its influencing factors.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted at a tertiary Grade A children's hospital in China using convenience sampling. Of 300 questionnaires distributed, 284 were included in the final analysis (response rate: 94.67%). The self-designed \"Digital Literacy Scale for Clinical Pediatric Nurses\" (with good reliability and validity, including exploratory factor analysis confirming a four-factor structure) was used for data collection.</p><p><strong>Results: </strong>A total of 284 clinical pediatric nurses were included. The total digital literacy score was 68.95 ± 9.02 points, with an overall moderate level. Age, educational level, professional title and work experience were moderately positively correlated with digital literacy scores (r = 0.426 ~ 0.478, all P < 0.001), and recent digital technology training was weakly positively correlated (r = 0.395, P < 0.001). Given observed collinearity between professional title and work experience (r = 0.782), a composite \"Career Seniority\" variable was constructed for the regression model. Multiple linear regression analysis identified four independent positive predictors of digital literacy: age (β' = 0.159, P < 0.001), educational level (β' = 0.281, P < 0.001), Career Seniority (β' = 0.215, P < 0.001), and recent digital technology training (β' = 0.370, P < 0.001). The final regression model explained 37.0% of the variance in digital literacy scores (adjusted R² = 0.370, F = 34.892, P < 0.001), with recent digital technology training emerging as the strongest predictor.</p><p><strong>Conclusion: </strong>The overall level of digital literacy among clinical pediatric nurses is moderate. These findings highlight the importance of both experiential factors (age, career seniority) and modifiable factors (educational level, recent training) in shaping digital literacy. The strong predictive role of recent training suggests that training may be an important modifiable correlate of digital literacy, warranting evaluation in future interventional studies. Healthcare institutions should consider developing structured, scenario-based training programs and personalized learning pathways to support the continuous development of digital literacy in pediatric nursing practice.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844820","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}
BMC NursingPub Date : 2026-05-07DOI: 10.1186/s12912-026-04705-w
Qiaoying Chang, Xiangying Liu, Yizhou Tan, Jiajia Duan, Jinping Li
{"title":"Self-regulatory fatigue and its associated factors among nursing interns: a cross-sectional study.","authors":"Qiaoying Chang, Xiangying Liu, Yizhou Tan, Jiajia Duan, Jinping Li","doi":"10.1186/s12912-026-04705-w","DOIUrl":"https://doi.org/10.1186/s12912-026-04705-w","url":null,"abstract":"<p><strong>Background: </strong>Self-regulatory fatigue is an emerging concern within nursing education, with implications for professional competence, emotional resilience, and long-term career development. To assess the level of self-regulatory fatigue among nursing interns and explore its related influencing factors.</p><p><strong>Methods: </strong>A total of 340 nursing interns participated in this survey. Data were collected from March to December 2024 using an online survey comprising a general information questionnaire, the Perceived Stress Scale (PSS), the Adolescent Mental Health Literacy Assessment Questionnaire (AMHLAQ), and the Psychological Detachment Scale. Descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple linear regression analyses were conducted.</p><p><strong>Results: </strong>Perceived stress (β = 0.47, p < 0.001), mental health literacy (β = -0.13, p = 0.008), psychological detachment (β = -0.10, p = 0.025), academic performance (β = 0.15, p < 0.001), length of clinical placement (β = -0.11, p = 0.016) and left-behind experience (β = -0.10, p = 0.032) were significant predictors of self-regulatory fatigue. The model explained 39.1% of the variance in self-regulatory fatigue.</p><p><strong>Conclusions: </strong>Nursing interns showed a moderate level of self-regulatory fatigue. Three psychological factors, namely, perceived stress, mental health literacy, and psychological detachment, along with academic performance, clinical placement duration, and left-behind experience, were significantly associated factors of self-regulatory fatigue. These findings suggest that targeted strategies should be developed to mitigate interns' fatigue and promote their holistic health.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844770","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}
BMC NursingPub Date : 2026-05-07DOI: 10.1186/s12912-026-04727-4
Trine Holm, Elin Thygesen, Geir Inge Hausvik, Thomas Westergren
{"title":"Navigating structural demands and relational care: a qualitative study of public health nurses' experiences and handling of online screening tools.","authors":"Trine Holm, Elin Thygesen, Geir Inge Hausvik, Thomas Westergren","doi":"10.1186/s12912-026-04727-4","DOIUrl":"https://doi.org/10.1186/s12912-026-04727-4","url":null,"abstract":"<p><strong>Background: </strong>Online screening tools are recommended in well-child visits to support early detection and standardized assessment, while also facilitating meaningful dialogue and collaboration with parents. However, little is known about how public health nurses experience and handle these tools in practice. The aim of this study was to explore public health nurses' experiences with, and handling of, online screening tools in their work practices in well-child clinics and school health services.</p><p><strong>Method: </strong>We used observations and semi-structured interviews to capture public health nurses' experiences and practices after integration of online screening tools. Public health nurses were observed during well-child visits, and when possible, also before and after visits to provide a broader understanding of their practice. In total, eight public health nurses were observed in connection to well-child visits with families of children aged 0-7 years. Interviews were conducted over an extended time-period, with a total of 13 public health nurses participating individually or in groups. Data was analyzed using reflexive thematic analysis of verbatim transcripts and field notes.</p><p><strong>Findings: </strong>The findings from this study illustrate how public health nurses experienced tension between structural requirements and relational values when online screening tools were implemented into their practice. The relationship with families was considered the cornerstone of their work, shaping trust, continuity, and holistic understanding. While the tools offered opportunities for structured assessment and dialogue, they also introduced uncertainty about interpretation, follow-up, and professional responsibility, often diverting time and attention away from nurturing relationships. The experienced tension between standardized procedures and relational care reflected a deeper struggle to balance professional obligations with the relational connection that public health nurses regarded as foundational to their role. These dynamics are explored through three themes: When the Structures Comes Between Us, When We Get Trapped Within the Structures, and When the Structures Supports Our Practice.</p><p><strong>Conclusion: </strong>To realize the potential benefits of online screening tools, integration must safeguard both structural requirements and relational needs, ensuring that structures do not come at the expense of trust, relationship, and presence.</p><p><strong>Trial registration: </strong>Not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844750","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}
BMC NursingPub Date : 2026-05-05DOI: 10.1186/s12912-026-04709-6
Abdulmuttalip Oner, Nilufer Yildirim
{"title":"Caregiver burden, compassion and spiritual well-being among family caregivers of bedridden patients in Türkiye: a nursing study.","authors":"Abdulmuttalip Oner, Nilufer Yildirim","doi":"10.1186/s12912-026-04709-6","DOIUrl":"https://doi.org/10.1186/s12912-026-04709-6","url":null,"abstract":"<p><strong>Objective: </strong>The present study aims to examine the relationship between caregiver burden, compassion, and spiritual well-being in caregivers for bedridden patients.</p><p><strong>Method: </strong>A descriptive and cross-sectional study. Data were collected from 130 caregivers for bedridden patients receiving home care and healthcare services in Mus Province. The Compassion Scale, Burden Interview Scale, and Spiritual Well-Being Scale have been used.</p><p><strong>Result: </strong>The mean scores for each of the variables were as follows: mean score for caregiver burden was 42.67 ± 13.48, mean score for compassion was 82.38 ± 13.77, and mean score for spiritual well-being was 3.70 ± 0.58. The scores for caregiver burden were significantly correlated with scores for both compassion and spiritual well-being (p < 0.001 for both). Additionally, the scores for compassion were also significantly correlated with scores for spiritual well-being (p < 0.001).</p><p><strong>Conclusion: </strong>The scores of the participants on the Burden Interview Scale, Compassion Scale, and Spiritual Well-Being Scale were found to be significantly higher than average.</p><p><strong>Clinical trial number: </strong>Clinical trial number is not applicable.</p>","PeriodicalId":48580,"journal":{"name":"BMC Nursing","volume":" ","pages":""},"PeriodicalIF":3.9,"publicationDate":"2026-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147844838","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}