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Aims: Dehydration is one of the common complications of dysphagia and poses significant risks including hospitalization and mortality, but the relationship between dysphagia and dehydration has received little attention. This study aims to determine the prevalence and risk factors for dehydration of patients with dysphagia in eastern China, and to provide reference for early identification and prevention of dehydration. Methods: A descriptive, cross‐sectional design was conducted. Three hundred and thirty‐seven (n = 337) patients with dysphagia participated in the study between August and December 2022. Information relating to participants' demographic variables, nutrition, cognition, functional, hydration status and fluid intake was collected. Univariate analysis was used to examine related impact factors, and then binary logistic regression analysis was conducted to determine reliable impact factors. Results: Among 337 patients with dysphagia, the average age was 63.47 ± 16.96, most participants were male (72.1%) and married (91.7%). The prevalence of dehydration was calculated to be 43.9%, the mean plasma osmolality score was 293.53 mmol/L. Diseases with the highest prevalence were stroke (78.3%), followed by hypertension (63.5%). The risk for dehydration increased with older age, usage of more medicines such as diuretics and beta‐blockers, worse functional status and lower fluid intake. Conclusion: This study found a high percentage of dehydration in patients with dysphagia. Findings can provide a basis for targeted nursing interventions for clinical prevention and treatment of dehydration. Summary statement: What is already known about this topic? Dehydration is one of the adverse consequences of dysphagia, and it causes physical stress to sufferers and enormous costs to the health care system.Previous studies have identified that personal factors (age, gender, health condition etc.), living environment, and social support may affect dehydration What this paper adds? Results showed high percentages of dehydration among patients with dysphagia; older age, greater use of medicines such as diuretics and beta‐blockers, worse functional status and lower fluid intake played a crucial role in hospital patients with dysphagia, leading to dehydration. The implications of this paper: This paper reveals prevalence and risk factors associated with dehydration of patients with dysphagia in hospital.Findings could provide reference data for development of nursing preventive interventions, to reduce the incidence of dehydration and improve the health level of patients. [ABSTRACT FROM AUTHOR]

Accessible SummaryWhat is known on the subject?Functioning is one of the most affected areas in schizophrenia. Social, occupational and personal domains are affected, and these deficits are responsible for a major part of the disability associated with the disorder.There are several instruments to measure functioning, but the HoNOS provides a wide assessment of impairment in 12 areas of functioning.What does the paper add to existing knowledge?The Spanish version of the HoNOS shows good properties in terms of reliability and validity for use in schizophrenia patients.Although some authors divide the scale according to proposed underlying dimensions, in schizophrenia this division may not be appropriate.What are the implications for practice?A reliable and easy‐to‐use measure of impairment in different areas of functioning is useful for optimizing the treatment and rehabilitation of patients with schizophrenia. Introduction: The HoNOS scale was designed for the assessment of psychosocial impairment in various domains. While it is widely used in psychiatric settings, it has not been validated in Spanish for use in patients with schizophrenia. Aim: To examine the psychometric properties of the Spanish version of the HoNOS scale in a sample of schizophrenia patients. Method: A total of 194 individuals aged 18 to 65 with schizophrenia spectrum diagnoses were evaluated using the HoNOS. Illness severity and level of functioning were also assessed. Results: The HoNOS showed moderate internal consistency, good inter‐observer reliability and good test‐retest reliability. Factor analysis revealed an internal structure consisting of four factors, with item distribution differing from the theoretical dimensions proposed for the original scale. Discussion: The Spanish version of the HoNOS scale is a reliable and valid instrument for assessing psychosocial impairment in individuals diagnosed with schizophrenia spectrum disorders. However, further research is needed to determine its internal structure more accurately. Implications for Practice: The HoNOS scale provides researchers and clinicians with a valid measure of impairment in twelve different domains, which can facilitate and guide the treatment of schizophrenia patients. [ABSTRACT FROM AUTHOR]

Aims: To assess the effects of COVID‐19 pandemic on clinical variables as part of the routine clinical monitoring of patients with chronic diseases in primary care. Design: A prospective longitudinal study was conducted in primary care centres of the Andalusian Health Service. Methods: Data were recorded before the pandemic (T1), during the declaration of the state of emergency (T2) and in the transition phase (T3). The Barthel index and the Short Portable Mental Status Questionnaire (SPMSQ) were used to analyse functional and cognitive changes at the three time points. HbA1c, systolic and diastolic blood pressure, heart rate, BMI and lipid levels were assessed as clinical variables. Descriptive statistics and non‐parametric chi‐square test were used for analysis. STROBE checklist was used for the preparation of this paper. Results: A total fo148 patients with chronic conditions were included in the analysis. Data analysis revealed in T2 only significant reductions in BMI, total levels of cholesterol and HDL during the onset of the pandemic. Barthel Index, SPMSQ, blood pressure and triglycerides and LDL levels worsened in T2, and the negative effects were maintained in T3. Compared to pre‐pandemic values, HbA1c levels improved in T3, but HDL levels worsened. Conclusions: COVID‐19 has drastically disrupted several functional, cognitive and biological variables. These results may be useful in identifying clinical parameters that deserve closer attention in the case of a new health crisis. Further studies are needed to assess the potential impacts of each specific chronic condition. Impact: Cognitive and functional status, blood pressure and triglycerides and LDL levels worsen in short term, maintaining the negative effects in medium‐term. [ABSTRACT FROM AUTHOR]

BACKGROUND: Currently, cerebral infarction (CI) is mainly treated by emergency craniotomy or conservative treatment. However, some studies have questioned the functional recovery of patients after hyperbaric oxygen therapy (HBOT)-specialized care. OBJECTIVE: This paper mainly explores the influence of HBOT-specialized care on limb motor function (LMF) and mental state of CI patients with hemiplegia. METHODS: The medical records of 113 CI patients with hemiplegia treated in our hospital from March 2020 to March 2022 were collected. Of these, 53 received routine care nursing (conventional group) and 60 cases were given HBOT-specialized care (research group). Patient general data, scores of Fugl-Meyer Assessment (FMA), National Institutes of Health Stroke Scale (NIHSS), Self-rating Anxiety/Depression Scale (SAS/SDS) and Barthel Index (BI), and nursing efficiency were comparatively analyzed. RESULTS: The two groups showed comparability in general data. FMA and BI scores were increased in the research group after rehabilitation treatment, higher than the baseline and those of the conventional group, while NIHSS, SAS, and SDS scores were reduced, lower compared with baseline and those of the conventional group. In addition, significantly higher nursing efficiency was determined in the research group. CONCLUSION: HBOT-specialized care has beneficial effects on LMF, mental state, negative emotions and self-care ability of CI patients with hemiplegia and can enhance nursing efficacy, which deserves clinical popularization. [ABSTRACT FROM AUTHOR]

Background: Many caregivers are insufficiently prepared, and little is known about measures that can be employed to enhance their preparedness. Aim: The aim of this study was to explore the factors associated with caregiver preparedness and establish a predictive model including the relationship between preparedness, burden, resilience and anxiety. Design: A cross‐sectional design was used. Methods: The sample included 172 family caregivers who were selected from one private hospital and daytime nursing centres. Caregivers were recruited from 2018 to 2019; they completed assessments for caregiver preparedness, anxiety, resilience and burden. A multiple linear regression analysis was performed to identify the factors associated with preparedness. Results: Preparedness was significantly associated with high levels of resilience and a low level of burden, while it was not associated with anxiety. Caregivers' gender, experience and cohabitation status were the main predictors. Resilience is an explanatory factor for caregiver preparedness in the predictive model. Conclusion: The demographic variables related to preparedness can be used to guide efforts to meet the needs of vulnerable caregivers. A caregiver's preparedness depends on their level of burden and resilience. Nursing interventions focused on these aspects could make the caregiver's role easier and improve the quality of care provided. Summary statement: What is already known about this topic? Many caregivers are inadequately prepared for this role, and ensuring adequate preparedness is important for family caregivers.Preparedness and factors predictive of this in Spanish family caregivers have not been well‐documented.Resilience, burden and anxiety affect caregivers, but the degree to which they influence caregivers' preparation levels is unknown. What is the contribution of this paper? Specific factors influence the preparedness of family caregivers. Men and caregivers who do not cohabit in the same household with the care‐dependent person may present greater deficits in preparedness. Moreover, poor health and lack of experience in caring can result in inadequate caregiving performance.Readiness, resilience and burden are significantly related, and the best predictor of family caregivers' preparedness is resilience.Resilience leads to greater preparedness in caregivers, and better‐prepared caregivers experience a lighter burden. What are the implications of this paper? Knowing the factors associated with preparedness in advance will allow health‐care professionals to prevent deficits in vulnerable family caregivers.Resilience is a decisive factor which prevents negative consequences such as low preparedness. A resilient coping style can diminish the burden and promote successful adaptation in caregivers. [ABSTRACT FROM AUTHOR]

Objectives: To assess the psychometric characteristics of the Spanish Post-COVID-19 Functional Status (PCFS) scale (web-based and paper-based forms) and the test-retest reliability of the web-based form. Study design and setting: Cross-sectional study of 125 COVID-19 survivors. The test-retest reliability of the web-based form was assessed at 7 days after the first evaluation. We collected symptoms, functional status (PCFS scale), health-related quality of life (EuroQol-5D questionnaire, EQ-5D-5L), activities of daily living limitations [Barthel Index and Global Activity Limitation Index, GALI] and psychological state (Hospital Anxiety and Depression Scale, HADS). Results: The paper- and web-based forms of the Spanish PCFS scale showed adequate construct validity, and the web-based form provided substantial test-retest reliability (kappa = 0.63). The percentage of agreement between the web-based and paper-based forms was high (88%). Functional status showed a high correlation with EQ-5D-5L (inverse) and GALI (direct) (both; Rho ≥.743), a moderate correlation with HADS (Rho ≥.409) and a low correlation with the Barthel Index (Rho <.30). The Kruskal–Wallis test showed statistically significant differences in EQ-5D-5L, GALI and HADS according to the degree of functional status. Conclusion: The Spanish version of the PCFS scale (web-based and paper-based forms) showed adequate construct validity, and the web-based form provided substantial test-retest reliability in COVID-19 survivors. [ABSTRACT FROM AUTHOR]

Aims: To investigate the change and associated factors of care needs within 6 months post‐discharge in older people with hospital‐associated disability, and the relationship between time‐varying care needs and physical function. Background: Older people with hospital‐associated disability will have various care needs post‐discharge. Understanding their care needs will help to improve their health. However, studies on this population are still limited. Design: A longitudinal study. Methods: The older people who met the inclusion and exclusion criteria were selected in 2 tertiary hospitals in Zhejiang Province, China. The questionnaire survey method was used to collect data about socio‐demographic characteristics, physical function and care needs. The data of 375 older people who completed follow‐up were analysed using logistic regression analysis, generalised estimating equations and generalised additive mixed model. We followed STROBE checklist for reporting the study. Results: The care needs of the older people with hospital‐associated disability declined unevenly, it decreased rapidly in the first three months, and then flattening out. The percentage of people with care needs in each dimension decreased over time, but daily care and rehabilitation needs were consistently more important. Socio‐demographic factors and physical function had different effects on need at different time points, the physical function was the main factor among them. There were non‐linear relationships between the physical function and different care needs with different inflection points. Conclusion: This research revealed change patterns of the care needs of older people with hospital‐associated disability post‐discharge and the non‐linear relationship between physical function and care needs. These findings may help healthcare professionals and caregivers to provide accurate care. Relevance to clinical practice: The findings can be used to identify effective approaches to address the care needs of older people with hospital‐associated disability based on the time of discharge, in conjunction with age, education, and especially physical function, which will promote the justify allocation of nursing resources. What does this paper contribute to the wider global clinical community? [ABSTRACT FROM AUTHOR]

Objective. To develop a deep learning-assisted recovery and nursing system after total hip arthroplasty and to conduct clinical trials in order to verify its accuracy. Methods. In our study, based on manual labeling, the human hip X-ray image library was established, and the deep neural network based on Mask R-CNN was built. The labeled medical images were used to train the model, providing reference for nursing decision after hip replacement. A total of 80 patients with hip injury from 2016 to 2019 were selected for the study. In our paper, the patients were divided into experimental group and control group. The pertinence and effectiveness of the model for postoperative care were evaluated by comparing the hip pain (VAS index), recovery (Harris score), self-care ability (Barthel index), and postoperative complication rate between the two groups. Results. The pain and complications in the experimental group were significantly lower than those in the control group, the difference being statistically significant (P < 0.05); the recovery of hip joint and self-care ability were higher than those in the control group, the difference being statistically significant (P < 0.05); the other differences were not statistically significant (P > 0.05). Conclusion. The application of deep learning method in the rapid nursing after total hip replacement can significantly improve the nursing ability. Compared with the traditional method, it has stronger pertinence, faster postoperative recovery, lower incidence of complications, and greatly improves the postoperative quality of life of patients with hip injury. [ABSTRACT FROM AUTHOR]

Purpose: Prescriptive and predictive analytics and artificial intelligence (AI) provide tools to analyze data with objectivity. In this paper, we provide an overview of how these techniques can improve nursing care, and we detail a quantitative model to afford managerial insights about care management in a Hospital in Colombia. Our main purpose is to provide tools to improve key performance indicators for the care management of inpatients which includes the nurse workload. Methods: The optimal nurse‐to‐patient assignment problem is addressed using analytics, lean health care, and AI. Also, we propose a new mathematical model to optimize the nurse‐to‐patient assignment decisions considering several variables about the patient state such as the Barthel index, their risks, the complexity of the care, and the mental state. Findings: Our results show that there are several processes inherent to compassionate nursing care that can be improved using technology. By using data analytics, we can also provide insights about the high variability of the care requirements and, by using models, find nurse‐to‐patient assignments that are nearly perfectly balanced. Conclusions: We illustrated this improvement with a pilot test that makes the equitable distribution of nursing workload the functionality of this strategy. The findings can be useful in highly complex hospitals in Latin America. Clinical Relevance: The proposed model presents an opportunity to make near perfectly balanced nurse‐to‐patient assignments according to the number of patients and their health conditions using technology. [ABSTRACT FROM AUTHOR]