Objective:To systematically evaluate the real-life experiences and psychological feelings of adults with newly diagnosed type 1 diabetes.Methods:A computer-based search was conducted in PubMed, CINAHL, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc for qualitative studies on the real experiences and psychological feelings of adults with newly diagnosed type 1 diabetes, with a search deadline of January 10, 2023. Literature quality was assessed using the 2016 edition of the Australian Joanna Briggs Institute's qualitative research quality evaluation standards, and the results were integrated using a meta-synthesis method.Results:A total of 9 studies were included, yielding 56 findings, which were categorized into 6 new themes: negative physical and psychological experiences (physical disorder, impact on thoughts and emotions) ; difficulty in role transition and frustration in disease management (disease-mediated role transition obstacles, poor adaptation to disease management models) ; coping and insights (self-management and multiple forms of support, hope and concerns for the future). Three integrated outcomes were identified.Conclusions:There is an urgent need to focus on the negative physical and psychological experiences of patients, enhance multiple forms of support, deepen comprehensive interventions, and focus on the long-term development of mental health. Supporting role transitions and developing systematic, shared, and personalized disease management strategies are crucial.

Idiopathic scoliosis is the most common spinal deformity among adolescents. Spinal correction surgery is a complex procedure with a long operative duration and extensive tissue damage, frequently resulting in chronic postoperative pain. This type of pain imposes significant physical and psychological burdens on patients, as well as considerable economic strain on families and society. This paper provides an overview of the concept, prevalence, assessment tools, influencing factors, and preventive and therapeutic strategies for chronic postoperative pain in adolescents with idiopathic scoliosis. The aim is to offer a reference for managing postoperative chronic pain in these patients and to inform further research in this area.

Objective:To conduct a scoping review of research on the effects of networked dyadic mindfulness-based intervention in cancer patients and their caregivers, to identify the elements of networked dyadic mindfulness-based intervention, and to inform future application of this intervention program in cancer patients and their caregivers.Methods:Using the scoping review methodology as a framework, literature on the effects of networked dyadic mindfulness-based intervention in cancer patients and their caregivers was searched in PubMed, Web of Science, Embase, CINAHL, PsycINFO, Cochrane Library, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biomedical Database. Literature was included and analyzed, and the search time frame was from the establishment of the database to June 18, 2023.Results:A total of 12 articles were included. Forms of networked dyadic mindfulness-based intervention included videoconferencing, internet teleconferencing, mindfulness apps, WeChat, video and audio linking, and so on. The intervention included teaching mindfulness skills, guiding binary interactive exercises, assisting in goal decision-making, integrating individual needs of cancer patients and their caregivers, providing diversified course reminders, and repeating learning pathways. The outcome indicators involved cancer patients, caregivers, dyadic relationship, and feasibility evaluation.Conclusions:The networked dyadic mindfulness-based intervention in cancer patients and their caregivers is feasible and has certain effects. In the future, we can learn from foreign intervention programs to design intervention strategies that are suitable for China's cultural background and scientific, and further improve the effectiveness evaluation indicators to enhance the effect of intervention.

This paper reviews the occurrence, influencing factors, assessment tools, and strategies for prevention and management of postoperative delirium in children with congenital heart disease. The aim is to raise awareness among clinical nursing staff about postoperative delirium in children with congenital heart disease and to provide references for exploring appropriate nursing management strategies for such cases in China.

Objective:To explore the status quo of fertility information need of breast cancer patients at childbearing age, and analyze its influencing factors.Methods:From April to October 2023, 400 cases of breast cancer patients of childbearing age in two Class Ⅲ Grade A hospitals in Zhengzhou City were selected by convenience sampling. Patents were investigated with the General Information Questionnaire and the Fertility Information Needs Assessment Questionnaire for Breast Cancer Patients of Childbearing Age. Multiple linear regression was used to analyze the influencing factors of fertility information need of breast cancer patients of childbearing age. A total of 400 questionnaires were distributed, and 385 valid questionnaires were collected, with an effective response rate of 96.25% (385/400) .Results:The 385 breast cancer patients of childbearing age had a high level of need for fertility information with an average score of items (3.17±0.73). The scores for each dimension in descending order of the mean score of items were disease impact information, treatment impact information, psychosocial information, fertility management information, sexual health information, and fertility protection information. Age, marital status, education level, per capita monthly family income and duration of illness were the factors influencing the fertility information need ( P<0.05) . Conclusions:Breast cancer patients of childbearing age have a high level of need for fertility information, and their need is influenced by a number of factors. Medical and nursing staff should improve the fertility information support program based on the real needs of breast cancer patients, and provide personalized fertility information support for breast cancer patients of childbearing age with different characteristics.

Objective:To explore the medication adherence of elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City and analyze its influencing factors.Methods:From April to July 2023, convenience sampling was used to select rural 240 elderly patients with chronic diseases and polypharmacy in five administrative districts (counties) of Hangzhou as participants. The survey was conducted using the General Information Questionnaire, Social Support Rating Scale, Medication Knowledge and Beliefs Questionnaire, and the Chinese version of the 8-item Morisky Medication Adherence Scale. Multiple linear regression was used to analyze the factors influencing medication adherence in elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City.Results:A total of 240 questionnaires were distributed and 220 valid questionnaires were collected, with an effective response rate of 91.67%. Among 220 elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City, 135 had poor medication adherence. Multiple linear regression analysis showed that age, educational level, family doctor contract, medication knowledge, and beliefs were the influencing factors of medication adherence in elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou City ( P<0.05) . Conclusions:The medication adherence of elderly patients with chronic diseases and polypharmacy in rural areas of Hangzhou urgently needs to be improved. Medical and nursing staff should pay special attention to patients who are old, have a low level of education, have not signed a family doctor, and have poor knowledge and beliefs about medication. It is suggested that the contract system for family doctors be further promoted, focusing on health education on medication knowledge and beliefs, to improve medication adherence among elderly chronic disease patients in rural areas.

Objective:To systematically summarize the development trajectory and evolving trends of mobile health technologies in the field of type 2 diabetes mellitus (T2DM) both domestically and internationally, providing a reference for future research in this area.Methods:CiteSpace 6.1.R6 software was used to perform a visual analysis of relevant domestic and international literature on T2DM mobile health technologies indexed in China National Knowledge Infrastructure, Wanfang, VIP, and Web of Science core collection. The search period was from 2004 to 2023.Results:A total of 575 Chinese and 771 English articles were included. Overall publication volume showed a steady increase, but global research levels were uneven. High-output countries and institutions were mainly concentrated in developed countries such as the United States, but cooperation was relatively loose. The key categories for both Chinese and English keywords included application population, application type, research tools, influencing factors, and disease management models. The research frontiers both domestically and internationally are "Internet+" and digital health.Conclusions:Mobile health technologies have become an integral part of routine healthcare services for T2DM patients. However, there is still a certain gap between domestic and international research. China should timely focus on the research hotspots and frontiers in this field, actively participate in global collaborations, and improve the depth and breadth of research.

Objective:To develop the Home-based Self-management Efficacy Questionnaire for Stable Chronic Obstructive Pulmonary Disease (COPD) Patients and test its reliability and validity.Methods:Guided by the individual and family self-management theory and self-management efficacy theory, a preliminary questionnaire was developed through literature analysis, semi-structured interviews, and expert inquiries. From September to November 2022, convenience sampling was used to select stable COPD patients of the Respiratory Department of Tongji University Shanghai Pulmonary Hospital as participants for investigation for project analysis and exploratory factor analysis of the questionnaire. From December 2022 to January 2023, a survey was conducted on stable COPD patients who visited the Respiratory Department of Tongji University Shanghai Pulmonary Hospital and Yancheng Third People's Hospital to conduct confirmatory factor analysis and reliability testing on the questionnaire.Results:A total of 220 and 290 questionnaires were distributed respectively, and 214 and 280 valid questionnaires were collected, with effective response rates of 97.27% (214/220) and 96.55% (280/290), respectively. The Home-based Self-management Efficacy Questionnaire for COPD Patients included six dimensions and 28 items. The questionnaire's total Cronbach's α coefficient was 0.910, and the half-confidence coefficient was 0.806. The content validity index at the questionnaire level was 0.928, and the content validity index at the item level was 0.800 to 1.000. The exploratory factor analysis showed that a total of six common factors were extracted, with a cumulative variance contribution rate of 63.943%. Confirmatory factor analysis showed that the model fitted well and the questionnaire factor structure was stable.Conclusions:The the Home-based Self-management Efficacy Questionnaire for Stable COPD has been developed with good reliability and validity, providing a reference for medical and nursing staff to evaluate the home self-management efficacy of stable COPD patients.

Objective:To construct a frailty prediction model for elderly diabetic inpatients based on machine learning algorithms and evaluate the predictive performance of the model, providing a basis for the early identification and prevention of frailty in elderly diabetic patients.Methods:A convenience sampling method was used to select 380 elderly diabetic inpatients from the Endocrinology Department and Geriatrics Department of two ClassⅢ Grade A hospitals in Jingzhou, admitted from March to October 2023. Binary Logistic regression analysis was used to identify the factors influencing frailty in elderly diabetic patients. The prediction models, including random forest, support vector machine, and K-nearest neighbors algorithms, were constructed using Python 3.8.2 and sklearn library functions. The accuracy, precision, recall, F1 score, and area under the receiver operating characteristic curve ( AUC) for each model were evaluated. Results:Factors such as comorbidity, polypharmacy, self-management ability of diabetes, nutritional status, 25-hydroxyvitamin D 3, duration of diabetes, and activities of daily living were identified as risk factors for frailty in elderly diabetic patients ( P<0.05). The AUC for the random forest, support vector machine, and K-nearest neighbors prediction models were 0.85, 0.83, and 0.79, respectively. Conclusions:The constructed random forest model is the optimal model, capable of effectively predicting the risk of frailty in elderly diabetic inpatients, which is beneficial for healthcare professionals to early screen high-risk populations for frailty.

Objective:To explore the trajectory and predictors of depressive symptoms in disabled middle-aged and elderly adults in China.Methods:Survey data from the 2013-2020 China Health and Retirement Longitudinal Study (CHARLS) data of disabled middle-aged and elderly adults were selected to analyze the trajectory categories of depressive symptom in disabled middle-aged and elderly adults and to explore their predictors.Results:A total of 1 844 disabled middle-aged and elderly adults were analyzed for survey data. The trajectory of depressive symptoms in disabled middle-aged and elderly adults was categorized into four groups, including a low-level depression group, a depression remission group, a high-level depression group, and a depression worsening group. Logistic regression analyses revealed that gender, age, place of residence, chronic disease, self-rated health, social participation, cognition, and hearing ability were predictors of trajectories of depressive symptoms in disabled middle-aged and elderly adults.Conclusions:There is group heterogeneity in the trajectory of depressive symptoms among disabled middle-aged and elderly adults. Healthcare professionals can carry out targeted health management according to the characteristics of different categories of people.