Latest ArticlesTo explore the application effect of intelligent robot rounds-based health education in the perioperative period of patients undergoing percutaneous coronary intervention(PCI),and to provide a basis for optimizing post-PCI health education models.
A total of 83 PCI patients admitted to the cardiology department of a tertiary hospital in Hangzhou from January to April 2025 were selected.They were divided into control group(37 cases) and intervention group(46 cases) according to the time of admission.The control group received conventional health education,while the intervention group received rounds-based health education delivered by an intelligent robot.The discharge readiness,health education satisfaction,and cost-effectiveness were compared between the two groups, along with the intervention group's feedback on the use of the intelligent robot.
The discharge readiness score of the intervention group was higher than that of the control group.Their satisfaction with guidance on activity and rest,and the method of health education was higher than that of the control group,but their satisfaction with psychological guidance was lower,and all differences were statistically significant(P<0.05).The cost of health education(21.60 per person-time) was lower than that of the control group(74.52 per person-time).Patients in the intervention group highly recognized the robot's ease of use and educational value and expressed expectations for its future application.
Intelligent robot rounds-based health education can effectively improve the discharge readiness and health education satisfaction of PCI patients during the perioperative period,demonstrating significant effects particularly in guidance on activity and rest,along with lower health education costs.
To explore the association between general obesity,central obesity,and frailty among middle-aged and elderly Chinese adults.
Based on data from the China Health and Retirement Longitudinal Study(CHARLS) in 2013,2015,and 2018,2 696 individuals aged 45 and above were included.Information on demographic characteristics,self-reported health-related factors,and current disease status was collected.Multivariate logistic regression and restricted cubic spline analyses were used to examine the association between general obesity,central obesity,and frailty in the middle-aged and elderly population.
The mean age of the 2 696 participants was (61.94±8.74) years, with a body mass index(BMI) of (24.34±8.71) kg/m² and a waist circumference of (87.84±9.05) cm.The prevalence of pre-frailty and frailty among the middle-aged and elderly was 41.95% and 1.26%,respectively.Multivariate logistic regression analysis,after adjusting for confounding factors,showed that age 60-69 [OR=1.58,95%CI(1.18,2.11)],age≥70 [OR=1.60,95%CI(1.15,2.25)],central obesity[OR=1.71,95%CI(1.32,2.22)],general obesity group[OR=1.48,95%CI(1.11,1.98)],urban residence[OR=0.61,95%CI(0.46,0.81)],participation in social activities[OR=0.66,95%CI(0.51,0.85)],and absence of comorbidities[OR=0.02,95%CI(0.02,0.03)] were associated with frailty.Restricted cubic spline fitting of the multiple Logistic regression model revealed that there was a non-linear relationship between waist circumference and the risk of frailty in both men and women(Pnonlinear<0.05),and a non-linear relationship between BMI and the risk of frailty in women(Pnonlinear<0.05).
General obesity and central obesity are risk factors for frailty in the middle-aged and elderly population in China,and this association exhibits sex differences.In women,both general obesity and central obesity are associated with an increased risk of frailty,whereas in men,only central obesity is linked to an elevated frailty risk..
To explore the potential profiles of comprehensive ability among older adults in China,the transition patterns over time, and the influencing factors,so as to provide a reference for establishing person-centered individualized care and developing targeted intervention plans.
Using data from the China Health and Retirement Longitudinal Study(CHARLS) in 2015 and 2018,latent profile analysis and latent transition analysis were employed to explore the potential categories and transition patterns of comprehensive ability among older adults.Multinomial Logistic regression was used to analyze the influencing factors of transitions in comprehensive ability.
The comprehensive ability of older adults could be categorized into five latent classes in 2015 and 2018:the relatively healthy group,the emotional disability group, the mild disability group,the moderate disability group,and the severe disability group.The comprehensive ability of older adults with disabilities showed instability over time,presenting both risks of decline and a degree of reversibility.Logistic regression analysis showed that gender,type of permanent residence,marital status,frequency of visits from children,government or social subsidies,and sleep duration were influencing factors for transitions in comprehensive ability among older adults(P<0.05).
The comprehensive ability of older adults in China demonstrates population heterogeneity at different time points and exhibits instability over time,with potential for both decline and reversibility.It is essential to establish a person-centered general practice management model with a focus on mobility and activities of daily living,to enhance the assessment and long-term monitoring of comprehensive ability in older adults,and to implement personalized interventions tailored to the characteristics of different older adult groups.
To investigate the correlation between peripheral non-enzymatic antioxidant levels,such as serum uric acid(UA),total bilirubin(TBIL),and albumin(ALB),and cognitive impairment in first-episode drug-naïve(FEDN) patients with schizophrenia(SZ).
A total of 167 FEDN schizophrenia patients from the department of psychiatry,First Hospital of Shanxi Medical University,were enrolled as the case group from October 2022 to October 2024,along with 103 matched healthy volunteers as the control group.Fasting venous blood was collected to measure serum UA,TBIL,and ALB levels. Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status(RBANS).
The case group showed significantly lower serum ALB and TBIL levels compared to the healthy control group(P<0.001).Total scores of RBANS as well as scores across all domains were also lower in the case group(P<0.001).After adjusting for confounding factors,serum TBIL levels were positively correlated with immediate memory(β=0.67,P<0.001),delayed memory(β=1.06,P<0.001),and the RBANS total scores(β=0.47,P<0.001).Serum ALB levels were positively correlated with immediate memory(β=0.60,P<0.001) and delayed memory scores(β=1.39,P<0.001).However,no significant correlations were observed between serum TBIL or ALB levels and the RBANS scores in the healthy control group.
In clinical practice,early correction of peripheral non-enzymatic antioxidant levels,such as specifically serum total bilirubin and albumin, in FEDN schizophrenia patients may enhance antioxidant capacity and improve cognitive function,particularly memory,highlighting its clinical importance.
To analyze the types and characteristics of decision preferences regarding polypharmacy among elderly patients with cardiometabolic multimorbidity(CMM),and provide a basis for personalized medication management and intervention strategies.
Based on the capability opportunity motivation-behavior model(COM-B),a descriptive qualitative research approach was employed.Purposive sampling was used to recruit 18 elderly patients with cardiometabolic multimorbidity for semi-structured interviews.Interview data were analyzed through content analysis to extract and summarize a labeling system,and a visual user persona was constructed accordingly.
The user persona labels of medication decision preferences covered four dimensions:basic characteristics,capability,opportunity,and motivation.The personas were classified into four types:participation decision-making type,independent exploration type,dependent support type,and passive/resistant type.
Decision preferences for polypharmacy among elderly CMM patients demonstrate heterogeneity and diversity.Medical staff should formulate personalized medication plans and management strategies based on different preference types to improve patients' medication behavior.
To explore the latent profiles of person-environment fit creativity among healthcare workers and to analyze the characteristic differences and influencing factors across these profiles.
A total of 492 healthcare workers from four tertiary grade A general hospitals in Hunan province were surveyed from November 2024 to January 2025 using general information questionnaires,the Person-Environment Fit Creativity Scale,the Creative Self-Efficacy Scale,the Innovative Behavior Scale,the Leader Empowering Behavior Scale,and the Work Engagement Scale.Latent profile analysis was used to identify the potential categories of person-environment fit creativity.Logistic regression was applied to analyze the influencing factors of different profiles.
The latent profile analysis revealed that healthcare workers' person-environment fit creativity could be categorized into three latent classes: low-level adaptive type(32%),medium-level dynamic type(58%),and high-level synergistic type(10%).Logistic regression results indicated that education level,average monthly income,publication of papers or patents,creative self-efficacy,innovative behavior,leader empowering behavior,and work engagement were influencing factors for the different categories of person-environment fit creativity(P<0.05).
Healthcare workers' person-environment fit creativity is at a medium level with significant group heterogeneity.It is recommended that healthcare institutions implement targeted incentive policies based on the characteristics of different categories of person-environment fit creativity,and gradually build an ecosystem that stimulates healthcare workers' creativity.
Drawing on recent international literature and representative case studies,this paper systematically summarized and interpreted the design logic,key implementation principles,data integration techniques,and common challenges of longitudinal mixed methods research,aiming to provide methodological guidance for researchers in China undertaking such studies.
To clarify the definition and connotation of nurses' professional growth.
The databases of CNKI,Wanfang,VIP,PubMed,Web of Science,CINAHL,ProQuest and PsycINFO were searched and the concept analysis method proposed by Walker and Avant was used to analyze the concept of nurses' professional growth.
The defining attributes of nurses' professional growth included professional growth motivation,professional growth opportunities,professional learning and practice,professional identity,and professional improvement.The antecedent factors included personal characteristics,organizational support and social support,and the posterior factors included personal level,organizational level and patient level.Good professional growth of nurses ultimately leads to the promotion of nurses,the formation of a good organizational culture and the provision of high-quality nursing for patients.
In future research,researchers can combine the core attributes of professional growth of nurses to develop specific assessment tools for the professional growth of nurses and construct intervention programs to promote the professional growth of nurses,thereby promoting the professional growth of nurses.
This paper systematically reviewed the international development experiences in nursing informatics and,in light of China's current context,analyzed the challenges and deficiencies in areas such as policy-level top-level design,technology application and optimization,data standardization,and talent cultivation.It emphasized that clarifying strategic positioning and adopting a dual-track approach that combines top-down and bottom-up strategies were essential.The paper recommends strengthening systematic planning and standard development at the national level while actively promoting technology empowerment and innovative cycles in frontline nursing practice,thereby fostering the professionalization,scalability,and sustainable development of nursing informatics in China.
To summarize the best available evidence regarding fertility preservation decision-making for breast cancer patients of reproductive age,so as to provide a reference for supporting these patients making decisions.
The databases and websites including UpToDate,BMJ Best Practice,Cochrane Library,JBI Evidence-Based Healthcare Center database,the UK National Institute for Health and Care Excellence(NICE),PubMed,Web of Science,and EMbase for evidence related to fertility preservation decision-making for breast cancer patients of reproductive age were systematically searched.The types of evidence sought included clinical decision support tools,guidelines,systematic reviews,evidence summaries,and expert consensus documents.The search period was from the inception of each database to Februry 18,2025.Two researchers with a background in evidence-based nursing independently conducted the literature quality assessment.Evidence meeting quality standards was then extracted and summarized,incorporating input from relevant professionals.
A total of 15 articles were included,comprising 2 clinical decision support documents,4 guidelines,3 expert consensuses,2 evidence summaries,and 4 systematic reviews.The summarized best evidence covers four key aspects:the fertility preservation decision-making team,pre-decision assessment,decision-making methods,and decision content,resulting in a total of 30 best evidence statements.
The summarized best evidence provides an evidence-based foundation for clinical healthcare professionals to support fertility preservation decision-making in breast cancer patients of reproductive age.In clinical application,healthcare providers need to respect patients' reproductive intentions,continuously advance the decision-making process,and protect the fertility potential of breast cancer patients as much as possible.