Conectar
Accelerated population aging has driven substantial growth in demand for palliative care services. Such services can effectively enhance the living quality for end-of-life patients through multidimensional interventions. Currently, China lacks a localised experience-oriented quality assessment scale for palliative care, resulting in gaps in service quality supervision. To develop a self-reported measurement for palliative care services, with the foundation in the Senses Framework.
This study developed a scale by extracting core contributors of palliative care experiences through 14 patients and 16 families' narratives. To refine and improve the scale, a total of 19 experts were invited to participate in a two-round Delphi expert consultation. Additionally, an empirical research was conducted, with 380 valid samples from two independent cohorts collected to complete the full psychometric testing of the scale.
The final Palliative Care Experience Scale (PCES) comprises two dimensions: sense of security and belonging, and sense of purpose and significance, with a total of 13 items. The total variance includes 79.26% that is explained by these two factors. Confirmatory factor analysis confirmed a stable factor structure for the PCES. The scale exhibited good reliability, with a total Cronbach' α of 0.937, McDonald' ω of 0.952, and Spearman-Brown corrected split-half reliability of 0.897. Cronbach's α for both dimensions exceeded 0.88. The scale's SEM was 1.50 and MDC95 was 4.16, offering a validated threshold to identify real changes in patients' palliative care experience.
This study developed an assessment scale of palliative care quality based on the Senses Framework, uniquely centred on patient experiences. Validated through robust methodologies, this scale fills a gap in the evaluation of experiential dimensions of palliative care in China, providing a scientific and feasible measurement tool for the continuous improvement of services.
This study addresses the critical gap of a culturally adapted, patient experience-centred tool for evaluating palliative care service quality in China. Its core finding is the successful development and full psychometric validation of the 13-item Palliative Care Experience Scale (PCES). This research provides a reliable tool for palliative care clinical practice and academic research to capture patients' care experience, offers clinicians and administrators a practical instrument to identify service gaps and guide quality improvement, and delivers foundational reference data for policymakers to advance patient-centred palliative care development in China.
We adhered to the relevant EQUATOR reporting guidelines. The development and validation process followed the COSMIN framework for patient-reported outcome measures.
Patients receiving palliative care and familes played an integral role in designing and conducting this study. In Phase I, qualitative data from semi-structured interviews with 14 patients and 16 families helped define core thematic constructs and develop the initial item pool, which ensured the scale's content validity were based on their real-life experiences. In Phase III, we recruited a new, independent cohort of participants to complete the psychometric testing of the scale, providing key data for its validation.
To identify body temperature dynamic patterns and develop a machine learning model for the early detection of nosocomial infections.
A retrospective and observational study of patients hospitalised in the haematology department of the Chinese People's Liberation Army General Hospital between January 2014 and December 2023.
A latent class trajectory model was used to discover patterns in patients' body temperatures over time. Machine learning models were then built to predict nosocomial infections and evaluated using standard metrics (AUROC, sensitivity, specificity). SHAP (SHapley Additive exPlanations) values were used to interpret the final model.
Among 6989 patients, we identified four distinct body temperature trajectories. Bloodstream infections were most common in patients exhibiting either a slow rise followed by a gradual decrease or a rapid rise followed by a quick decrease in body temperature. The XGBoost model showed excellent predictive performance (AUROC = 0.801), with balanced sensitivity (0.718) and specificity (0.701). The top five predictors of nosocomial infections were elevated procalcitonin, neutropenia, prolonged central venous catheter use and two specific temperature trajectories: ‘stable and relatively high’ and ‘a rapid rise followed by a quick decrease’.
The XGBoost model effectively predicted nosocomial infections. Dynamic body temperature trajectories provided early, objective warning signs of infection. This predictive tool empowered nursing staff to proactively monitor nosocomial infection, allowing for timely, data-driven interventions in vulnerable hematologic patients.
The developed machine learning predictive tool can help clinical medical staff identify nosocomial infections as early as possible, facilitate personalised rehabilitation and health management plans, aligning with the philosophy of patient-centred precision nursing. Further, the four body temperature trajectory patterns identified provide nurses with objective, dynamic indicators for recognising potential infection subphenotypes, supporting a shift from experience-driven reactive care towards data-driven proactive nursing.
Previous studies suggested that body temperature could indicate the severity and prognosis of infections, but the pattern was unknown. In this study, we found that body temperature trajectories could signal infection subphenotypes, such as bloodstream infections being most common in patients with a slow rise followed by a gradual decrease in body temperature or with a rapid rise followed by a quick decrease. By integrating body temperature trajectories with key clinical biomarkers, the developed prediction model enables early and accurate identification of nosocomial infections in hematologic patients. The application of this tool may significantly shorten the time window between infection onset and intervention, potentially reducing infection-related complications, mortality and healthcare costs, thereby improving overall care quality and patient outcomes.
The study adhered to the relevant EQUATOR reporting guidelines, the TRIPOD Checklist for Prediction Model Development and Validation.
The research team included nursing staff and clinicians responsible for infection surveillance and control in the hospital, who contributed real-world insights into the definition of predictors, interpretation of temperature trajectories, clinical implications of the prediction model and preparation of the manuscript. Their expertise helped ensure that the study addressed relevant clinical questions and that the findings are interpretable and actionable in practice.
To explore the experiences, perceptions, and role adaptation of nursing PhDs in hospital settings in China.
A descriptive phenomenological qualitative study.
Individual in-depth interviews were conducted with eight female nursing PhD holders from eight tertiary hospitals across five provinces between November 2024 and February 2025. Data were concurrently collected and analysed using NVivo 11.0, guided by Colaizzi's seven-step analysis.
Four main themes were identified: (1) Multidimensional motivations for choosing hospital work; (2) professional challenges; (3) perceived professional value and benefits; and (4) career expectations and developmental recommendations. Fifteen subthemes further detailed these dynamics.
This study offers a nuanced understanding of the career development of nursing PhDs within hospital settings. The findings reveal the complex interplay of factors influencing their decisions to enter clinical practice. Moreover, it underscores the dual challenges of role ambiguity and limited resources, while also illustrating the transformative potential of applying academic training to drive clinical innovation among nursing PhDs in hospital environments.
These findings offer critical insights for hospital administrators and educational policymakers. By elucidating the career development challenges and opportunities for nursing PhDs, the study underscores the need for tailored talent management frameworks and targeted educational reforms. The findings have important implications for hospital settings in China and offer guidance for global strategies in talent management and clinical education reform, ultimately contributing to improved patient care and healthcare outcomes.
Adhered to COREQ guidelines for qualitative research.
None.
To examine workplace experiences, perspectives on coming out at work, organisational climate and mental health status of lesbian, gay, bisexual, transgender, queer/questioning and other sexual, and gender minority healthcare providers (LGBTQ+ HCPs) within an East Asian cultural context.
Observational, cross-sectional study.
An online cross-sectional survey was conducted among 173 Taiwanese LGBTQ+ HCPs between May and August 2024.
Most of the 173 respondents did not disclose their LGBTQ+ identities to any colleagues, and approximately two-fifths met the clinically significant threshold for depressive symptoms. Furthermore, compared to LGBTQ+ HCPs who disclosed to all, most, about half or a few colleagues, those who had not disclosed to any colleagues reported higher levels of depressive symptoms, lower self-esteem, less comfort with disclosure, greater perceived necessity to conceal their LGBTQ+ identities, lower scores for job stability or security, poorer interpersonal relations and lower agreement that an LGBTQ+-inclusive workplace climate would influence their willingness to remain in their current jobs. Although approximately 80% of the LGBTQ+ HCPs reported that they were familiar with national workplace antidiscrimination laws and that their organisations had grievance mechanisms, nearly two-fifths did not trust the grievance systems or procedures within their organisations.
Results emphasise the urgent need to create an LGBTQ+-inclusive workplace environment with clear and enforceable antidiscrimination policies and inclusive organisational practices to improve both disclosure safety and mental health outcomes for LGBTQ+ HCPs.
The study results extend existing knowledge by identifying the relationship between different levels of disclosure and mental health status among LGBTQ+ HCPs. They also highlight the importance of establishing support groups, a comprehensive mental health referral system and enforcement mechanisms that safeguard legal rights without compromising the privacy or safety of LGBTQ+ HCPs.
No patient or public contribution.
To explore the views of healthcare practitioners in Britain regarding the role of midwives and nurses in the delivery of medical and surgical abortion.
An observational study of the Shaping Abortion for Change study healthcare practitioner survey (2021–2022).
Relationships between healthcare practitioner type, participant characteristics, knowledge of and attitudes towards abortion, and views about nurses' and midwives' role in abortion care were examined using Pearson's Chi-squared tests of association and multivariable logistic regression.
Amongst 763 participants including doctors, nurses, midwives and pharmacists, 71.6% supported specialist nurses in sexual and reproductive health and abortion clinics and hospitals, expanding their roles to include prescribing abortion medications and surgical abortion methods. Support was lower for midwives (35.8%) and primary care nurses (32.5%). There was considerable support for all nursing and midwifery groups to be involved in adjacent tasks of abortion care. Differences in support by healthcare practitioner type persisted after adjustment for exposure variables.
There is strong support for specialist nurses to expand their role in abortion care. This change could be implemented following clarification of the legal position. Some healthcare practitioner groups are more reluctant to support broader involvement of nurses and midwives in abortion provision.
Expanding specialist nurses' role in abortion care could increase service capacity and improve patient access and experience. Understanding and addressing the concerns of healthcare practitioners opposing this change is critical for successful implementation and patient safety.
This study addresses the potential for nurse and midwife role expansion in abortion care. The findings highlight broad support for specialist nurses whilst identifying barriers to wider role expansion. The research informs policy discussions on workforce optimisation and access to abortion services across Britain.
This study adheres to the STROBE guidelines for reporting observational studies.
In the SACHA study, patient and public involvement was included at all stages to inform study design, recruitment, data collection and analysis.
Qualitative research methods allow investigators to gain a detailed understanding of phenomena, based on the collection and analysis of rich data. An important element of some qualitative studies is key informants (KIs)—those are a specific set of participants who are able to provide particularly valuable viewpoints and insights on the issues or questions being examined.
The concept of using KIs dates back to early anthropological studies, where researchers relied on local experts to help better understand cultural practices and social structures. Over time, this approach has evolved, with increasing recognition of the value that KIs bring to a wide array of fields, including public health, education, social sciences, medicine and nursing.
Death preparedness is an important prerequisite for improving the quality of life and the quality of death in advanced cancer patients. However, research on the level of death preparedness in patients is insufficient, and there is little understanding of the current status and influencing factors of death preparedness in advanced cancer patients.
This study aims to assess the current status of death preparedness and its influencing factors in advanced cancer patients.
Based on the PRECEDE-PROCEED model, a structured survey questionnaire was designed to collect data on personal factors (such as gender, age and residence area), interpersonal factors (such as social support, caregiver readiness and healthcare worker readiness) and social factors (such as care resources, policy support and information supply). Through multiple linear regression and BP neural network analysis, the study explores the impact and significance of these influencing factors on death preparedness in advanced cancer patients.
A total of 930 valid questionnaires were collected in this study. The death preparedness score in advanced cancer patients was 72.18 ± 22.82, indicating a moderate level, with the highest score being the ‘reflexive care’ dimension and the lowest score being the ‘hospice programme’ dimension. Multivariate analysis revealed that meaning in life and social support were the most significant predictors of death preparedness in advanced cancer patients. In addition, personal factors such as dignity, household income and coping style, also played an important role. Interpersonal factors like social support, as well as social factors such as care resources and policy support, also had an impact on patients' death preparedness to some extent.
Death preparedness in advanced cancer patients is generally at a moderate level, and death preparedness is influenced by a combination of personal factors, interpersonal factors and social factors.
This study is based on the PRECEDE-PROCEED model to comprehensively explore the influencing factors of death preparedness in advanced cancer patients. It provides theoretical support for improving life services for advanced cancer patients. It offers valuable practical experience and insights for societal attention and reform in end-of-life care.
No Patient or Public Contributions were included in this paper.
To examine determinants of nurses' adoption of generative artificial intelligence outputs in clinical practice using a technology acceptance model and an integrated structural equation modelling framework.
Cross-sectional online survey.
Registered nurses in mainland China completed an anonymous questionnaire assessing perceived performance benefits, perceived ease of use, perceived information quality, perceived source credibility, social influence, facilitating conditions, adoption intention and adoption behaviour. Structural equation modelling was used to evaluate the measurement model and estimate a primary mediation model in which perceived performance benefits and perceived ease of use predicted adoption intention, and adoption intention predicted adoption behaviour. An integrated model added information quality, source credibility, social influence and facilitating conditions as additional determinants. Sensitivity analyses were conducted using an ordinal estimator to assess robustness.
The analytic sample comprised 330 nurses. In the primary model, higher perceived performance benefits and greater perceived ease of use were associated with stronger adoption intention, and stronger adoption intention was associated with higher self-reported adoption behaviour. The integrated model showed that perceived information quality contributed to adoption intention beyond core expectancy beliefs, while perceived source credibility showed a small direct association with adoption behaviour. Social influence demonstrated a modest association with adoption intention, whereas facilitating conditions showed weaker associations after accounting for other determinants. Model conclusions were consistent across estimation approaches.
Nurses' adoption of generative artificial intelligence outputs is shaped by perceived performance benefits, ease of use and perceived information quality, with adoption intention functioning as the proximal determinant of self-reported use. Implementation strategies should focus on demonstrable workflow gains, reducing interaction burden and strengthening governance and verification to support safe adoption.
Women with overweight or obesity tend to engage in low levels of exercise and face challenges in initiating and maintaining exercise throughout pregnancy.
This study aimed to evaluate the effectiveness of a peer-led walking and mobile health (mHealth) app intervention on self-efficacy and change in exercise behavior stage, based on the transtheoretical model (TTM), of women with overweight or obesity from pregnancy to one month postpartum.
The study was a randomized controlled trial with an experimental design. A total of 114 pregnant women (BMI ≥ 24 kg/m2 and gestation < 16 weeks) were recruited from prenatal clinics in Taiwan from July 2021 to May 2022. The intervention group (IG) received the peer-led walking program with mHealth support, while the control group (CG) received standard antenatal care. Follow-ups were conducted at 24–28 weeks (T2), 36–40 weeks (T3), and one month postpartum (T4).
The IG had significantly higher exercise self-efficacy scores from T1 to T3 compared to the CG. IG participants showed notable progress in exercise behavior stages, transitioning from the contemplation stage at T1 to preparation and action stages at T2 (χ 2 = 13.208, p < 0.01), with some reaching the maintenance stage by T3 (20.9%, χ 2 = 9.49, p < 0.05). In contrast, most of the CG participants remained at the contemplation stage throughout pregnancy to early postpartum.
The peer-led walking intervention with mHealth has the potential to enhance self-efficacy and promote sustained exercise behavior of women with overweight or obesity during and after pregnancy and is a valuable approach to establishing long-term exercise behavior.
ClinicalTrials.gov: NCT 05022680
To examine the relationship between ethical conflicts and ethical decision-making ability, ethical sensitivity and demographic factors as mediator/moderator roles.
A cross-sectional survey was conducted from June to December 2024.
This study involved 503 intensive care unit nurses from eight tertiary hospitals across Zhejiang, Guangdong and Guangxi provinces. Participants completed validated instruments including the Ethical Conflict Nursing Questionnaire-Critical Care Version, the Chinese Moral Sensitivity Questionnaire-Revised version and the Chinese Version of Judgement About Nursing Decision. SPSS 27.0 was used for descriptive statistics and Pearson correlation analysis, while PROCESS macro handled mediation and moderation analysis.
The relationship between ethical conflict and decision-making ability was significantly mediated by both moral responsibility/strength and burden, with the latter demonstrating a stronger indirect effect. Furthermore, exploratory moderated mediation analysis showed that this mediation model varied significantly across different levels of work experience and types of intensive care unit. Given the exploratory nature of these findings, they require verification in future confirmatory studies.
The association between ethical conflict and decision-making ability was mediated by ethical sensitivity. This pathway was moderated by work environment and qualifications, indicating the need for tailored interventions.
Developing nurses' ethical sensitivity is a key strategy for managers aiming to improve ethical decision-making when nurses face ethical conflicts.
This study addressed ambiguous findings regarding the relationship between ethical conflict and nurses' decision-making ability. For nurse managers, fostering ethical sensitivity among staff represents a key strategy for mitigating the ethical conflicts that are negatively associated with decision-making ability.
The strengthening the reporting of observational studies in epidemiology statement (STROBE) was followed.
No patient or public contribution.
Chinese Clinical Trial Registry (ChiCTR): MR-33-24-032956
To combine the Job Demand-Resource (JD-R) model with machine learning (ML) techniques to identify the key factors affecting job burnout (JB) among Chinese nurses.
A Cross-Sectional Study.
This study utilised a stratified sampling method to recruit 3449 eligible nurses from eight cities in Shandong Province between June and December 2021. After data cleaning, 2998 valid samples were retained. The dataset was randomly split into a training set (75%) and a test set (25%). The Boruta algorithm was used to select relevant variables for model construction. Six-millilitre models were compared using cross-validation, with mean absolute error (MAE), root mean square error (RMSE) and R-squared (R 2) used to select the best model. The Shapley Additive Explanation (SHAP) method was used to identify key predictors of JB.
The average JB score among nurses was (32.88 ± 11.45). Among the 20 variables, 17 were identified by the Boruta algorithm as strongly associated with JB, including 7 job demand-related variables and 10 job resource-related variables. After comparing 6-ml models, the Random Forest was identified as the optimal model (MAE = 6.56, RMSE = 8.86, R 2 = 0.63). SHAP analysis further revealed the importance ranking of these 17 variables and identified four key predictors: psychological distress (SHAP = 4.07), perceived organisational support (SHAP = 2.03), emotional intelligence (SHAP = 1.81) and D-type personality (SHAP = 1.73).
By integrating the JD-R model framework, ML algorithms proved effective in identifying critical predictors of nurses' JB. SHAP analysis identified four primary determinants: psychological distress, perceived organisational support, emotional intelligence and D-type personality. These findings provide novel insights for nursing administrators to optimise intervention strategies.
Not applicable.
This study did not include patient or public involvement in its design, conduct or reporting.
To identify symptom clusters in haematological malignancy patients during chemotherapy and determine the factors associated with different symptom clusters.
A cross-sectional study.
Convenience sampling was used to investigate haematological malignancy patients hospitalised for chemotherapy at a tertiary teaching hospital in Chengdu, China, from January 2021 to December 2023. Participants completed the Chinese version of the Condensed Memorial Symptom Assessment Scale. Hierarchical cluster analysis was used to identify symptom clusters; univariate analyses and logistic regression analyses were used to determine their related factors. This study was reported following the STROBE checklist.
A total of 600 participants were included in the study. We have identified the psychological, sleep, pain-fatigue, gastrointestinal-asthenia symptom clusters in haematological malignancy patients during chemotherapy. Binary logistic regression analysis indicated that being female and having lactate dehydrogenase levels of 220 IU/L or higher are associated with an increased risk for the psychological symptom cluster. The sleep symptom cluster is more likely to occur in females, those with a prognostic nutritional index < 45, lactate dehydrogenase ≥ 220 IU/L and platelet-to-lymphocyte ratio ≥ 107.85. Female, the prognostic nutritional index < 45 and age ≥ 60 years are correlated with the pain-fatigue symptom cluster. The gastrointestinal-asthenia symptom cluster is related to female, a diagnosis of acute leukaemia or lymphoma, lactate dehydrogenase ≥ 220 IU/L and prognostic nutritional index < 45.
Adult haematological malignancy patients undergoing chemotherapy experience multiple symptoms that can be further divided into four symptom clusters. The occurrence of symptom clusters is influenced by a combination of patient sociodemographic characteristics, disease conditions and biochemical indicators.
The symptom burden is a major issue for haematological malignancy patients during chemotherapy. Health caregivers should focus on the connection between symptoms rather than individual symptoms when developing and providing interventions. Identifying the factors influencing symptom clusters in haematological malignancy patients should be the basis for accurate, efficient and cost-effective interventions.
The patients completed the questionnaires during the data collection in this study.
To explore survivors' perspectives and experiences of psychological detachment while living with a stoma.
A qualitative descriptive study was conducted. This study followed the Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist.
A total of 15 semi-structured interviews were conducted between February 2024 and May 2024. The phenomenological method proposed by Colaizzi was used to analyze the data.
Four major themes emerged from the analysis: (1) Trapped in the Persistent Impact of Dual Traumas: Struggles with Adaptation; (2) Trapped by the Unrelenting Burden of Stoma Care: A Cycle of Powerlessness; (3) Trapped by the Shackles of a Stigmatised Identity: The Dilemma of Social Reintegration; and (4) Divergent Pathways of Detachment: Navigating Between Immersion and Transcendence. Within the main themes, eight subthemes were formulated.
This study thoroughly explored and elucidated the psychological detachment experiences of colorectal cancer survivors with a stoma, revealing its key role in mental health recovery and psychosocial rehabilitation and informing clinical interventions.
The study suggests that healthcare staff should guide survivors in drawing a clear boundary between stoma care and their personal life, encourage any correction of erroneous social cognition, and promote the positive development of psychological detachment among survivors.
This study explored the challenges of psychological detachment in stoma survivors, identifying key barriers like trauma, care burden, role misconceptions, and varying detachment levels. The findings can guide healthcare providers in supporting survivors' mental well-being and inform better survivorship care strategies.
There was no patient or public contribution.
To systematically identify and appraise existing risk prediction models for EN aspiration in adult inpatients.
A systematic search was conducted across PubMed, Web of Science Core Collection, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Biomedical Literature Database (CBM) and VIP Database from inception to 1 March 2025.
Systematic review of observational studies.
Two researchers independently performed literature screening and data extraction using the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). The Prediction Model Risk of Bias Assessment Tool (PROBAST) was employed to evaluate both the risk of bias and the clinical applicability of the included models.
A total of 17 articles, encompassing 29 prediction models, were included. The incidence of aspiration was 9.45%–57.00%. Meta-analysis of high-frequency predictors identified the following significant predictors of aspiration: history of aspiration, depth of endotracheal intubation, impaired consciousness, sedation use, nutritional risk, mechanical ventilation and gastric residual volume (GRV). The area under the curve (AUC) was 0.771–0.992. Internal validation was performed in 12 studies, while both internal and external validation were conducted in 5 studies. All studies demonstrated a high risk of bias, primarily attributed to retrospective design, geographic bias (all from different parts of China), inadequate data analysis, insufficient validation strategies and lack of transparency in the research process.
Current risk prediction models for enteral nutrition-associated aspiration show moderate to high discriminative accuracy but suffer from critical methodological limitations, including retrospective design, geographic bias (all models derived from Chinese cohorts, limiting global generalisability) and inconsistent outcome definitions.
Recognising the high bias of existing models, prospective multicentre data and standardised diagnostics are needed to develop more accurate and clinically applicable predictive models for enteral nutrition malabsorption.
Not applicable.
PROSPERO: CRD420251016435
To (1) examine the attitudes of community-dwelling adults towards death and their ability to cope with death, as well as (2) understand the influence of advance care planning on community-dwelling adults' death attitudes and coping with death.
A sequential explanatory mixed-methods study was conducted in Singapore.
In Phase I, a case–control study was conducted to examine the differences in death attitudes and coping with death ability between community-dwelling adults who have completed advance care planning and those who have not. A univariate general linear model was used to compute the mean difference in death attitudes and coping with death scores. In Phase II, a descriptive qualitative study was conducted to provide an in-depth understanding of the influence of advance care planning among community-dwelling adults. Thematic analysis was used for qualitative analysis. Mixed-methods analysis was conducted to integrate the quantitative and qualitative data.
In Phase I, 80 community-dwelling adults who had completed advance care planning and 81 community-dwelling adults who did not have advance care planning were included. Adults who had completed advance care planning had significantly higher coping with death scores (t = 4.14, p < 0.01). In Phase II, a purposive sample of 24 adults who had completed advance care planning was selected for individual semi-structured interviews. From the thematic analysis, three themes were developed: (1) Advance care planning enables coping with death, (2) overcoming fear of death with advance care planning and (3) confronting death with advance care planning.
Advance care planning may influence death attitudes and coping with death. Further work on longitudinal designs and among individuals from different age groups should be used to gain further in-depth understanding of the impacts of advance care planning.
Strategies to enhance one's coping abilities with death and death attitudes should be developed to stimulate the uptake of advance care planning.
This paper was reported according to the Good Reporting of A Mixed Methods Study framework.
Community-dwelling adults participated in the survey and interviews.
This study aimed to evaluate and rank the effectiveness of various acupoint stimulation therapies in alleviating cancer-related fatigue (CRF), a pervasive and distressing symptom among cancer patients.
CRF severely compromises patients' quality of life across treatment and survivorship stages. Despite growing interest in nonpharmacological interventions, comparative evidence on the efficacy of acupoint stimulation therapies remains limited.
A systematic review and network meta-analysis of 28 randomized controlled trials (RCTs) involving 2370 participants was conducted. Databases searched included MEDLINE, CINAHL, Embase, Cochrane, Web of Science, and Airiti Library. Interventions included acupuncture, acupressure, oil acupressure, moxibustion, and transcutaneous electrical acupoint stimulation (TEAS). Standardized mean differences (SMDs) were calculated using a random-effects model. Surface Under the Cumulative Ranking Curve (SUCRA) was used to rank therapies.
Oil acupressure (SUCRA: 73.6%), relaxing acupressure (73.4%), and acupuncture (72.7%) were the most effective interventions. Both professionally administered and self-administered therapies significantly reduced CRF, with no major differences in efficacy. Subgroup analyses revealed consistent effectiveness across cancer types, particularly breast and lung cancer, and treatment stages.
Acupoint stimulation therapies, especially acupressure and acupuncture, effectively reduce CRF and are suitable for integration into routine cancer care. Self-administered acupressure offers a practical, low-cost alternative, especially in resource-limited settings. Standardization of protocols and long-term studies are warranted to guide clinical implementation.
The review protocol was registered in the International Prospective Register of Systematic Reviews (PROSPERO: CRD42024556455)
This study aimed to identify potential latent profiles of frailty among patients undergoing cardiac surgery, reveal the risk factors associated with these subgroups and understand the nursing needs of patients in different subgroups.
Patients scheduled for cardiac surgery at a tertiary general hospital in Southwest China between August 2022 and June 2023 were recruited using convenience sampling. The instruments included the General Information Questionnaire, the Chinese version of the Tilburg Frailty Indicator, the Hospital Anxiety and Depression Scale, the Mini-Mental State Examination and the Fatigue Severity Scale. Latent profile analysis was performed to identify potential classifications of preoperative frailty. Univariable and multinomial logistic regression analyses were used to determine associated influencing factors.
A total of 261 patients were included, with a preoperative frailty prevalence of 69.7% and a median TFI score of 6 (IQR: 4–8). Latent profile analysis identified three distinct frailty phenotypes: ‘multidimensional low-load frailty’ (29.5%), ‘social high-load frailty’ (8.8%) and ‘physiopsychological complex frailty’ (61.7%). Multinomial logistic regression revealed significant predictors for these profiles: absence of a spouse, younger age and longer disease duration were independently associated with social high-load frailty. Higher fatigue scores increased the likelihood of physiopsychological complex frailty. Conversely, higher cognitive scores were significantly associated with the multidimensional low-load frailty profile.
Preoperative frailty in cardiac surgery patients presents significant heterogeneity. Clinicians should pay particular attention to patients with social high-load frailty and physiopsychological complex frailty. Tailored nursing interventions based on these specific profiles and their associated risk factors are essential to alleviate frailty and improve patient outcomes.
This study adhered to the STROBE guidelines for cross-sectional studies.
Distinct frailty profiles among preoperative cardiac surgery patients were identified. Understanding these profiles enables tailored nursing interventions and potentially optimises postoperative outcomes. Implementing profile-specific care pathways can enhance perioperative patient management.
Patients recovering from cardiac surgery participated in reviewing the comprehensibility of survey questions for latent profiles. Members of a cardiac patient support group provided feedback on the interpretability of the findings.
To examine the relationship among leadership, clinical teaching competencies, and structural empowerment of nursing clinical instructors in China.
A cross-sectional study.
A total of 152 nurses who come from three Grade A tertiary hospitals located in Beijing, Kunming, and Liaoning Province, China, completed an online questionnaire that included general information, clinical teaching information, the Conditions of Work Effectiveness Questionnaire-II, nurse leadership, and structural empowerment. SPSS 26.0 and AMOS 26.0 were used for normality test, descriptive statistics, correlation analysis, regression analysis, and structural equation model.
The study revealed that nurse leadership (r = 0.402) and structural empowerment (r = 0.568) both positively correlated with clinical teaching competencies. Specifically, the level of nurse leadership exhibited a low but direct positive effect on these competencies (β = 0.22), while the level of structural empowerment demonstrated a moderate direct positive effect (β = 0.56).
Enhancing nurse leadership and structural empowerment positively influence the clinical teaching competencies of nursing instructors.
Constructing a structural equation model to describe the relationship between leadership, structural empowerment, and teaching ability can provide the most intuitive direction for future research, so as to better improve the teaching ability of clinical nursing teachers.
No patient or public contribution.
To explore mothers' specific discharge preparation needs for preterm infants born before 32 gestational weeks, providing a foundation for developing effective discharge education programmes.
A qualitative descriptive design.
A semi-structured interview was conducted of 16 mothers of preterm infants less than 32 weeks gestation within 1 week post-discharge in March–June 2024. Directed content analysis was conducted using the Integrated Theory of Health Behaviour Change framework to code, categorise, and identify themes within the interview data.
Mothers provided rich, practical, experience-driven feedback regarding discharge preparedness needs. The interview resulted in three emergent themes related to the theory's constructs: maternal needs for knowledge acquisition, multifaceted social support, and adjusting learning strategies. These encompass sub-themes such as observing infant behaviour and health status, basic care knowledge, complex medical care guidance; support from medical staff, family members, fellow parents, community healthcare providers, and Wechat platform tools; learning time arrangement, and preferred learning approaches.
This study explored the discharge preparation needs of mothers with premature infants less than 32 weeks gestation. A nurse-led multidisciplinary team should tailor education programmes, emphasising care knowledge, multifaceted social support, and flexible learning. Future research should assess programme effectiveness on maternal and infant outcomes.
The study's results provided targeted guidance for clinical nursing education, enhancing mothers' readiness for preterm infant discharge and facilitating a smoother NICU-to-home transition.
These findings provide important guidance for nurse-led tailored discharge education and preparation services, thereby promoting improvements in clinical nursing practice and the development of nursing education.
The COREQ checklist was used for reporting.
Four mothers of premature infants (< 32 weeks gestation) provided feedback on the interview guide in the design phase, refining it for the target population, without joining the main study.
FreshRSS 