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We aimed to identify the barriers and facilitators to participation in interventions aimed at improving cognitive function among older adults with type 2 diabetes mellitus (T2DM) and mild cognitive impairment (MCI) in rural areas.
This study is the qualitative phase of a larger randomised controlled trial and employs a descriptive approach.
We conducted in-depth, semi-structured face-to-face interviews with older adults diagnosed with T2DM and MCI in rural areas of China in November 2023. The interviews were guided by the Capability, Opportunity, Motivation, and Behaviour (COM-B) model and the Theoretical Domains Framework (TDF). The interview recordings were transcribed and analysed using NVivo V.11 software. Two research assistants independently coded the transcriptions, and the identified barriers and facilitators were mapped to the corresponding domains within the COM-B model and TDF.
A total of 26 older adults, aged 60–87, participated in the interviews. Nine themes were identified, including disease awareness, disease attitude, social interaction, responsibility and health, emotion guidance, organisational management, expertise and benefits, self-perception and role identity crisis. These themes mapped onto the three core components of the COM-B model as well as the nine domains of the TDF, which include: knowledge, environmental context and resources, social influences, intentions, emotions, reinforcement, beliefs about consequences, beliefs about capabilities and social identity.
Addressing barriers and leveraging facilitators can effectively enhance the willingness of elderly patients in rural areas to participate in interventions aimed at improving cognitive function. A multi-layered approach should be adopted, focusing on disease knowledge and attitudes, social interactions, the impact of the disease burden on both family and individuals, emotional state, organisational management, team expertise and timely assessment, individual self-efficacy and role perception.
The study adheres to the COREQ reporting guidelines.
The participants in this study were older adults with T2DM and MCI from rural areas. Participants were involved in the development of the interview guide and were subsequently interviewed regarding the facilitators and barriers to their participation in cognitive function interventions.
Near infrared (NIR) therapy is increasingly used to enhance postoperative wound healing, yet clinical trial results remain inconsistent. To evaluate the effectiveness of NIR therapy on postoperative wound healing and identify treatment parameters associated with optimal outcomes: This systematic review and meta-analysis registered at PROSPERO (CRD420251163415) assessed evidence on comparing NIR therapy (630–1100 nm) with standard care or placebo on healing of surgical-induced wounds. A multilevel random-effects meta-analysis of standardised mean differences (SMDs) was conducted. Moderator analyses examined the wavelength, fluence, session number, application technique and anatomical site. Risk of bias was assessed using Cochrane RoB 2.0 and certainty of evidence was rated with GRADE. Fifty-six trials (N = 4920) were included for systematic review and 35 trials contributed 69 outcomes to meta-analysis. NIR significantly improved wound healing (0.78, [0.46–1.09], p < 0.01) and reduced postoperative pain (0.71, [0.24–1.17], p < 0.01), but heterogeneity was high and effects varied across studies. Optimal outcomes were associated with short NIR wavelengths (700–850 nm), 4–10 sessions and non-contact application. Effects on swelling, scarring and inflammatory markers were inconsistent. Overall, certainty of evidence was very low. This first systematic review and meta-analysis indicates that NIR therapy demonstrates promise for enhancing postoperative healing and reducing pain, though effects vary by protocols.
To develop a comprehensive and psychometrically validated scale for evaluating the core competencies of community nurses for public health emergencies.
A study of instrument development and validation was conducted.
A total of 1057 community nurses provided valid responses for this study conducted in Shanghai, China. Building upon previous study findings of the adapted core competency model and integrating the World Health Organisation's Framework for Action, this study was conducted in two phases. First, scale items were developed through systematic review, qualitative research, stakeholder meeting, and Delphi survey, refined with cognitive interviews to establish version 1.0 of the scale. Second, item analysis was performed with item-total correlations, Cronbach's alpha, and exploratory factor analysis, resulting in version 2.0. The final scale was produced after assessing the validity (content validity, confirmatory factor analysis, known-groups validity) and reliability (internal consistency, test–retest reliability).
The final scale consisted of 47 items categorised into four competency factors: prevention, preparation, response, and recovery competency. Factor analysis results indicated adequate factor loadings, excellent model fit, and well-established construct validity. The overall scale and its sub-factors exhibited high internal consistency and good test–retest reliability.
The study presents a theoretically grounded and scientifically validated scale measuring the competencies that community nurses need for public health emergency response.
This study enhances the theoretical framework of community nurses' core competencies in public health emergencies, provides a validated assessment tool, and clarifies their role in enhancing preparedness and effectiveness.
The study addressed the need for a standardised tool for assessing community nurse core competency for public health emergencies and will impact policy initiatives to enhance early prevention, emergency response, and integrated recovery practices in crisis management.
Strengthening the Reporting of Observational studies in Epidemiology checklist.
No Patient or Public Contribution.
The study examines the associations between nursing competence, work environment, and health system resilience. It also analyzes how nursing competence and work environment relate to different patterns of health system resilience.
A multiple center cross-sectional study was conducted between December 2023 and January 2024 across 33 hospitals in eastern China, involving 2435 nurses.
Questionnaires measuring nursing competence, work environment resources, nurse disaster resilience, and organizational commitment to resilience were utilised, along with the collection of additional personal demographic data. Structural equation modelling and cluster analysis were performed to explore the underlying mechanisms within the overall model and across multiple groups. Multivariable regression was conducted to identify variables associated with resilience in different subgroups.
Structural equation modelling demonstrated significant influences of nursing competence and work environment support on system resilience. Cluster analysis identified four resilience patterns: strong, marginal, low, and critical vulnerability. Strong resilience correlated with balanced individual-organizational resources, while vulnerable systems relied heavily on environmental support.
Our findings support policymakers and managers in developing systematic strategies with distinct focal points—targeting nurse workforce investment and optimised work environment—to enhance health system resilience across varying levels of public health emergencies.
This study validated the framework connecting individual and organizational resilience, offering evidence-based insights for nurse training and resource allocation to enhance healthcare systems' adaptability during disasters.
The study addressed how nursing competence and work environment significantly influenced resilience during public health emergencies, identified four resilience patterns, and provided insights to guide policymakers and healthcare managers in developing targeted, effective strategies.
Strengthening the Reporting of Observational studies in Epidemiology checklist.
No patient or public contribution.
This study aims to identify distinct profiles of work engagement among oncology nurses through Latent Profile Analysis and explore how these profiles influence nurse safety behaviour.
A cross-sectional design with latent profile analysis.
A total of 957 oncology nurses from tertiary hospitals across five provinces and municipalities in China participated in this questionnaire-based study. Data were collected on demographic information, the Work Engagement Scale, the General Self-Efficacy Scale and the Nurse Safety Behaviour Scale. The analysis was conducted using SPSS 24.0 and Mplus 8.3, with Latent Profile Analysis, R3STEP and BCH methods employed to uncover underlying patterns and relationships.
The results revealed three distinct profiles of work engagement: ‘Highly Efficient and Focused Type’ (43.7%), ‘Moderately Balanced Type’ (37.4%) and ‘Low Effort and Coping Type’ (18.9%). The distribution of these profiles was closely related to factors such as weekly working hours, adverse event experiences, safety training experiences and self-efficacy. Moreover, these work engagement profiles positively impacted nurse safety behaviour.
The study demonstrates that different work engagement profiles significantly influence the safety behaviour of oncology nurses. Key factors such as weekly working hours, adverse event experiences, safety training experiences and self-efficacy play a crucial role in shaping these work engagement profiles.
The findings provide a new perspective and intervention approach for enhancing work engagement and nurse safety behaviour. It is recommended that hospital management develop personalised training and incentive measures tailored to nurses with different characteristics to improve overall nursing quality and patient safety.
No patient or public involvement.
To investigate the level of humanistic care ability of oncology nurses, its association with empathy and emotional intelligence, and the mediative role of emotional intelligence on empathy and humanistic caring ability.
This was a cross-sectional study conducted in a cancer hospital in China.
We enrolled a total of 1189 oncology nurses from several cancer hospitals from December 2023 to January 2024. All participants completed three general questionnaires: the Caring Ability Inventory, the Jefferson Scale of Empathy-Health Professionals and the Emotional Intelligence Scale.
The overall scores for the three scales were 202.35 ± 23.89, 112.38 ± 18.85 and 137.49 ± 17.81, respectively. A positive correlation was detected between caring ability, empathy and emotional intelligence (r = 0.741, p < 0.001; r = 0.577, p < 0.001). And emotional intelligence mediates the association between empathy and caring ability in oncology nurses (0.233, p < 0.001). The total and direct effect were also significant (0.825, p < 0.001; 0.592, p < 0.001).
The study findings indicated that oncology nurses exhibit a moderate level of caring ability. Emotional intelligence mediates the relationship between empathy and caring ability, at least in part. Therefore, an increase in the level of emotional intelligence in oncology nurses could improve their caring ability.
When designing training to improve humanistic care, we recommend the integration of specific training relating to empathy and emotional intelligence into the training system.
Oncology patients experience multiple forms of distress and require high-quality humanistic care. This study identified a moderate association between empathy and emotional intelligence. Our findings provide further recommendations for nurse leaders in medical institutions relating to how the humanistic care ability of oncology nurses can be improved by specific training in empathy and emotional intelligence.
This study was reported using the STROBE Checklist for cross-sectional studies.
Nurse leaders organised this survey in their own hospital.
The best evidence on programmed weaning from mechanical ventilation in neurocritical care patients should be gathered, evaluated, and integrated to provide an evidence basis for determining the optimal weaning program for these patients.
According to the ‘6S’ pyramid model of evidence-based practice resources, Chinese and international guideline websites, websites of relevant professional societies, and Chinese and English databases were systematically searched. The databases were searched from the time of establishment to October 2024. Literature screening was subsequently performed according to the inclusion and exclusion criteria. Two researchers independently evaluated the literature quality and extracted and summarised the evidence.
A total of 21 publications were included, including 3 guidelines, 5 expert consensus papers, 1 evidence summary, and 12 systematic reviews. A total of 29 pieces of best evidence in the following 5 aspects were summarised: preweaning preparation and screening, a weaning protocol, extubation assessment, extubation preparation and procedure, and postextubation management.
This study summarises the best evidence for the programmed weaning of neurocritical care patients from mechanical ventilation and provides a basis for clinical medical personnel to standardise this weaning process. Evidence-based application of these strategies should be implemented to verify their clinical efficacy and safety in practice.
Successful weaning is key in the management of neurocritical care patients receiving mechanical ventilation. The establishment of a localised extubation protocol guided by a multidisciplinary team can significantly reduce the extubation failure rate, the duration of mechanical ventilation and the incidence of related complications. However, evidence-based application is needed to verify the efficacy and safety of these strategies in clinical practice.
This evidence review adhered to the evidence review report guidelines formulated by the Evidence-Based Nursing Center of Fudan University. These guidelines cover aspects such as problem establishment, literature search, literature screening, literature evaluation, evidence summary and classification, as well as the formulation of practical suggestions. This evidence summary followed the evidence summary reporting specifications of the Fudan University Center for Evidence-Based Nursing (http://ebn.nursing.fudan.edu.cn) with registration number ES20244849.
This study was based on the evidence summary reporting specifications of the Fudan University Center for Evidence-based Nursing; the registered name is ‘Summary of the best evidence for weaning from mechanical ventilation in neurocritical care patients’; the registration number is ES20231823
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