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Introduction: Alcohol consumption has an impact on the frailty, but current research in China lacks a detailed classification of alcohol use. This study aimed to explore the relationship between different drinking patterns and frailty in older adults. Methodology: The data came from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) study, which included older adults (aged ≧ 60). Their demographic data, drinking status, and frailty index were collected in CLHLS. Through logistic regression models to analyze the correlation between alcohol consumption and frailty. Results: A total of 14,931 participants were included in the analysis. The prevalence of frailty was 29.1%, 35.2%, and 14.9% among risk-free, past risky, and now risky drinkers, respectively. After adjusting for covariates, past risky drinking was a risk factor for frailty (p =.003). Discussion: High-risk alcohol consumption is positively correlated with frailty. Prevention and reduction of risky drinking in older adults may help protect them from developing frailty. [ABSTRACT FROM AUTHOR]

Aims: To examine the prevalence and risk factors of pre‐frailty and frailty in maintenance haemodialysis patients in China. Design: A cross‐sectional study. Method: From January to July 2017, using the convenience sampling method, a total of 503 maintenance haemodialysis patients from six hospitals in Lianyungang, China, were recruited for this study. The participants' socio‐demographic, lifestyle factors and health information were assessed using a general information questionnaire. Frailty was evaluated based on the Fried frailty phenotype. Multi‐categorical logistic regression was performed to examine factors associated with pre‐frailty and frailty in this population, including age, sex, living alone, employment, educational level, body mass index, per capita monthly household income, smoking status, exercise status, primary diagnosis, dialysis age, frequency of dialysis, vascular access, congestive heart failure, other cardiac diseases, cerebrovascular disease, peripheral blood diseases, pain, albumin level and haemoglobin level. Results: Among the 503 participants with an average age of 53.02 years (standard deviation 14.99), 178 had pre‐frailty (35.3%) and were mostly young and middle‐aged. The prevalence of pre‐frailty among participants <60 years old was more than 40%. Regression analysis showed that lack of exercise, dialysis age ≤12 months, congestive heart failure and other cardiac diseases were positively associated with pre‐frailty. Two hundred and eighteen participants were frail (43.3%), most of whom were aged ≥60. The prevalence of frailty in participants ≥60 was 71.4%. Regression analysis showed that advanced age, being female, obesity, low per capita monthly household income, lack of exercise, diabetes as the primary disease, dialysis age ≤12 months, congestive heart failure, other cardiac diseases, pain and low albumin level, were positively associated with frailty. In addition, more than half of the participants hardly exercised (64.6%), while lack of exercise was a risk factor for pre‐frailty and frailty. A third of the participants had pain (33.4%), while pain was an independent risk factor for pre‐frailty and frailty in these participants. Conclusion: Pre‐frailty and frailty are common in patients with maintenance haemodialysis. Most of the elderly maintenance haemodialysis patients are frail, and most of the young and middle‐aged patients are pre‐frail. Clinicians should actively screen the pre‐frailty and frailty among patients with maintenance haemodialysis, especially those with dialysis age ≤12 months. Many factors affect pre‐frailty and frailty in this population. Tailored intervention measures should be designed and implemented based on these factors, giving priority to exercise guidance and pain management for patients to help them prevent or reverse pre‐frailty and frailty. [ABSTRACT FROM AUTHOR]

Objective: The objective of the study was to explore factors associated with oral health‐related quality of life (OHRQoL) in patients with ischaemic stroke in China, guided by the theory of planned behaviour (TPB) and Andersen's oral health outcome model. Background: Recent studies have reported that the prevalence of stroke is increasing and that stroke patients are facing many oral health related problems. This study provided insights into the role of TPB in the OHRQoL among patients with ischaemic stroke. Materials and methods: Three hundred eight patients with ischaemic stroke from the Department of Neurology of a third‐grade class‐A hospital in Xuzhou, China, were enrolled in this cross‐sectional study between June and September 2020. They completed a questionnaire that included information on socio‐demographic characteristics and health behaviours, the Montreal Cognitive Assessment Scale, the Modified Rankin Scale and the Chinese version of the Oral Health Impact Profile‐14 scale (OHIP‐14). Structural equation modelling (SEM) was used to examine the association among the selected variables based on the TPB and Andersen's oral health outcome model. Results: Among the participants (mean age 65.6), most (57.5%) were male. Their mean OHIP‐14 score was 13.3 ± 7.6. Based on the SEM path diagram, behavioural attitude, subjective norms and perceived behavioural control of oral health were positively associated with intention; intention was associated with OHRQoL. The degree of disability was negatively associated with intention. Cognitive function was positively associated with OHRQoL. Conclusion: The OHRQoL of hospitalised patients with ischaemic stroke in China is fair to poor and affected by their oral health behaviours. Improved oral health behavioural attitude, subjective norms and perceived behavioural control might help them form good intentions and improve their OHRQoL. [ABSTRACT FROM AUTHOR]

Background: In recent years, stroke has become the second leading cause of death worldwide, and the incidence and mortality of ischemic stroke have increased significantly. This study mainly aimed to explore the experiences and needs of older adults at different stages of cerebral infarction based on the chronic illness trajectory theory. Methods: Data were collected from 22 older adults experiencing the onset, acute, and stable stages of stroke through semi‐structured interviews and were analyzed using Colaizzi's descriptive phenomenological approach. Results: Multiple themes and subthemes emerged on the experiences and needs of older adults at different stages of cerebral infarction based on the three dimensions of the long‐term disease trajectory theory: illness‐related work, biographical work, and everyday life work. Seven themes were extracted for illness‐related work, six for biographical work, and eight for everyday life work. Discussions: The treatment, nursing, and rehabilitation of cerebral infarction are complex. This study indicated that patients after cerebral infarction have different experiences and needs for illness‐related work. They also have distinctive and dynamically changing demands for biographical work and everyday life work. Conclusions: The experiences and needs of older patients with cerebral infarction changed dynamically at different stages of the disease. Healthcare professionals should develop effective interventions targeting these needs at various disease stages, provide patients with continuous support to shape their disease trajectories, and maintain patients' stability. [ABSTRACT FROM AUTHOR]

Introduction: With the increasing need for home care in Shanghai, China, it is crucial to ensure its quality. This study aimed to explore quality-related issues of home care in Shanghai, China, and identify strategies for improvement. Method: This is a descriptive qualitative study. Semistructured interviews were conducted among 27 individuals, including home care managers (n = 8), nurses (n = 10), and patients and/or their caregivers (n = 9). Colaizzi's seven-step analysis method was used to guide data analysis. Results: Three themes emerged regarding the quality of home care in China: unsatisfactory structure quality, unsatisfactory process quality, and imperfect outcome quality evaluation system. Recommended strategies for quality improvement included issuing standards for home care evaluation, refining structure quality and process quality, and establishing an outcome quality evaluation system. Conclusions: Concerns about the quality of home care in China were identified by providers and patients. More research especially studies quantifying the care quality and its influencing factors are needed. [ABSTRACT FROM AUTHOR]

Introduction: This study aimed to evaluate the quality of home care in China using the Home Care Quality Assessment Tool (HCQuAT). Method: We recruited 38 home health agencies in Shanghai, China, which included 18 in urban areas, 11 in suburban areas, and nine in rural areas. Data on quality of home care from each agency were collected by trained staff using the HCQuAT. Results: On average, these home health agencies scored 74.28/100.00 (SD = 6.80) on the HCQuAT, with an excellence rate of 39.5% and a failing rate of 23.7%. The mean scores on the structure quality module, process quality module, and outcome quality module were 71.2 ± 21.8, 86.6 ± 9.2, and 44.1 ± 37.5, respectively. Significant differences existed across geographic locations (p =.018). Discussion: Significant variations were identified in the quality of home care across quality modules and geographic locations. Outcome quality and quality in rural areas were lower than those for their counterparts. [ABSTRACT FROM AUTHOR]

Objectives: To develop a comprehensive system of quality indicators for home care in China.Design: A modified Delphi technique and analytic hierarchy process.Participants: Twenty experts were invited to participate in the Delphi expert consultation.Methods: Experts rated the perceived importance of 92 potential indicators through two rounds of e-mail surveys in November and December 2016. The analytic hierarchy process was used to determine the relative importance of the quality indicators identified through the Delphi expert consultation.Results: The average authoritative coefficient was 0.815 ± 0.0432 (range: 0.75-0.90). After two rounds of Delphi expert consultation, 77 quality indicators were identified as important in the Chinese home care setting. The mean importance ratings ranged from 4.35 to 4.95 on a 5-point scale, with variation coefficients ranging from 0.04 to 0.15. The percentage of experts giving the maximum possible score on each item ranged from 45% to 95%. In the second round, the Kendall's W coefficients ranged from 0.363 to 0.570. As for relative importance, the weights were 0.198-0.490, 0.029-0.047 and 0.037-0.66 for first-level, secondary-level and third-level quality indicators, respectively, with all consistency ratio values less than 0.1.Conclusion: The absolute and relative importance of 77 indicators identified as potentially valid measures of the quality of Chinese home care was determined. This instrument is the first set of home care quality indicators developed specifically for mainland China, and it should be useful in evaluating and improving the quality of Chinese home care. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Design Data Sources Methods Results Conclusion Impact Patient or Public Contribution To systematically review the potential of smart home technology to enhance the independence of older adults and reduce their dependence on care. Additionally, it sought to examine the positive impacts of such technology on their golden years.A systematic review based on Preferred Reporting Items for Systematic Review and Meta‐Analyses (PRISMA).The search was conducted on 8 April 2024. Peer‐reviewed studies in PubMed, Embase, Web of Science, IEEE Xplore, Scopus, The Cochrane Library, CINAHL, CNKI, WANFANG DATA and VIP from 1 January 2000 to 8 April 2024 were searched.The methodological quality assessment used the Mixed Methods Appraisal Tool (MMAT). Positive findings relevant to this study were extracted from the literature and analysed using thematic synthesis.After meticulously examining 3404 studies, we identified 21 relevant sources for in‐depth analysis, including qualitative studies (n = 10), experimental studies (n = 9) and mixed method studies (n = 2). These sources were grouped into five core themes based on the pivotal role of smart home technologies in enabling ageing in place: daily monitoring, assisted living activities, life reminders, functional improvement and emotional companionship. The study found that smart home technology offers numerous benefits to the lives of older adults, including increased independence, psychological support, improved cognitive functioning, enhanced self‐management, increased mobility, support for caregivers, promoted social engagement and enhanced quality of life.Smart home technology can enhance the independence of older adults' lives, reduce their dependence on care, alleviate the burden on caregivers and promote home‐based elderly care.This systematic review contributes to understanding the capability of smart home technology to promote elderly care at home and help better utilise smart home technology to benefit older adults. Older adults and their caregivers should be encouraged to adopt this technology to improve older adults' quality of life.No patient or public contribution. [ABSTRACT FROM AUTHOR]

Aims Design Methods Results Conclusion Impact Reporting Method Patient or Public Contribution Implications for the Profession and/or Patient Care The aim of the study is to develop a model using a machine learning approach that can effectively identify the quality of home care in communities.A cross‐sectional design.In this study, we evaluated the quality of home care in 170 community health service centres between October 2022 and February 2023. The Home Care Service Quality Questionnaire was used to collect information on home care structure, process and outcome quality. Then, an intelligent and comprehensive evaluation model was developed using a convolutional neural network, and its performance was compared with random forest and logistic regression models through various performance indicators.The convolutional neural network model was built upon seven variables, which encompassed the qualification of home nursing staff, developing and practicing emergency plan to cope with different emergency rescues in home environment, being equipped with medication and supplies for first aid according to specific situations, assessing nutrition condition of home patients, allocation of the number of home nursing staff, cases of new pressure ulcers and patient satisfaction rate. Remarkably, the convolutional neural network model demonstrated superior performance, outperforming both the random forest and regression models.The successful development and application of the convolutional neural network model highlight its ability to leverage data from community health service centres for rapid and accurate grading of home care quality. This research points the way to home care quality improvement.The model proposed in this study, coupled with the aforementioned factors, is expected to enhance the accuracy and efficiency of a comprehensive evaluation of home care quality. It will also help managers to take purposeful measures to improve the quality of home care.The reporting of this study (Observational, cross‐sectional study) conforms to the STROBE statement.No patient or public contribution.The application of this model has the potential to contribute to the advancement of high‐quality home care, particularly in lower‐middle‐income communities. [ABSTRACT FROM AUTHOR]

Aims: To identify the risk factors associated with frailty among older adults in China and develop a predictive model for assessing their frailty risk., Design: Secondary cross-sectional analysis., Methods: The 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS) provided data for this study. A total of 9006 participants were included in the analysis. Their general demographic, socioeconomic status and health behaviour risk factors were collected in the CLHLS. Frailty was assessed using the Frailty Index. A visual nomogram model was constructed based on independent predictors identified using multivariate analysis. The nomogram's discrimination and calibration capabilities were evaluated using the C-statistics and calibration curves. A 1000-times resampling enhanced bootstrap method was performed for internal validation of the nomogram., Results: The results showed that living in rural settings, having a primary education level, having a spouse, having basic living security, smoking, drinking, exercising and social activities were protective factors against frailty. Increasing age, being underweight or obese, adverse self-assessed economic status and poor sleep quality were risk factors of frailty. The AUC values of the internal validation set were 0.830. The calibration curve was close to ideal. The Brier score was 0.122. The above results showed that the nomogram model had a good predictive performance., Conclusions: A simple and fast frailty risk prediction model was developed in this study to help healthcare professionals screen older adults at high risk of frailty in China., Impact: The frailty risk prediction model will assist healthcare professionals in risk management and decision-making and provide targeted frailty prevention interventions. Screening high-risk older adults and early intervention can reduce the risk of adverse outcomes and save medical expenses for older adults and society, thereby realising cost-effective planning of health resources and healthy ageing., Patient or Public Contribution: No patient or public contribution. This study was a cross-sectional, secondary analysis of the CLHLS data., (© 2024 The Author(s). Nursing Open published by John Wiley & Sons Ltd.)