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Background: Continuing care is needed for the growing number of chronically ill patients who struggle with health problems after discharge. This study aims to elucidate the development process, functionalities, service protocols, and utilization of an Internet Plus Care (IPC) platform devised by our hospital to offer healthcare services to discharged patients. Methods: This was a mixed study. After describing the development process, function and usage of IPC platform, we retrospectively collect data such as the general information of service recipients and service providers, service items, and service prices through the IPC platform from January 2021 to September 2023 to characterize these services. Results: 69 nurses delivered a total of 788 services to 211 patients through the IPC platform. The majority of services (N = 652, 82.7%) were delivered offline, with almost half of the recipients (N = 384, 48.7%) being elderly individuals. 46.4% of nurses provided services ≥ 3 times. Furthermore, 26.5% of patients received services three or more times. Notably, patients' care requirements exhibited variations across age groups, with wound care (n = 243, 63.3%), pressure injuries care (n = 50, 13.0%), and replacement of indwelling nasogastric tubes (n = 20, 5.2%) emerging as the top three services favored by the elderly. Conclusions: The IPC platform demonstrates potential in delivering diverse health services to patients; however, the involvement of nurses and patients needs to be enhanced. It is necessary to implement relevant safeguard policies to promote the effective use of IPC platform for health management of discharged patients in the future. What does this paper contribute to the wider global clinical community?: The prevalence of chronic diseases is on the rise, and patients with chronic diseases continue to struggle with health problems after discharge and require extended treatment and rehabilitation. Our study proves that IPC platform presents a promising avenue for addressing these challenges. It is anticipated that governmental authorities will undertake comprehensive policy, legislative, and medical insurance reforms to facilitate the extensive adoption of IPC platform-based services. [ABSTRACT FROM AUTHOR]

Background: Delirium is a common disorder affecting patients' psychiatric illness, characterized by a high rate of underdiagnosis, misdiagnosis, and high risks. However, previous studies frequently excluded patients with psychiatric illness, leading to limited knowledge about risk factors and optimal assessment tools for delirium in psychiatric settings. Objectives: The scoping review was carried out to (1) identify the risk factors associated with delirium in patients with psychiatric illness; (2) synthesize the performance of assessment tools for detecting delirium in patients with psychiatric illness in psychiatric settings. Design: Scoping review. Data sources: PubMed, Web of Science, and Embase were searched to identify primary studies on delirium in psychiatric settings from inception to Dec 2023 inclusive. Two independent reviewers screened eligible studies against inclusion criteria. A narrative synthesis of the included studies was conducted. Results: A final set of 36 articles meeting the inclusion criteria, two main themes were extracted: risk factors associated with delirium in patients with psychiatric illness and assessment tools for detecting delirium in psychiatric settings. The risk factors associated with delirium primarily included advanced age, physical comorbid, types of psychiatric illness, antipsychotics, anticholinergic drug, Electroconvulsive therapy, and the combination of lithium and Electroconvulsive therapy. Delirium Rating Scale-Revised-98, Memorial Delirium Assessment Scale, and Delirium Diagnostic Tool-Provisional might be valuable for delirium assessment in patients with psychiatric illness in psychiatric settings. Conclusions: Delirium diagnosis in psychiatric settings is complex due to the overlapping clinical manifestations between psychiatric illness and delirium, as well as their potential co-occurrence. It is imperative to understand the risk factors and assessment methods related to delirium in this population to address diagnostic delays, establish effective prevention and screening strategies. Future research should focus on designing, implementing, and evaluating interventions that target modifiable risk factors, to prevent and manage delirium in patients with psychiatric illness. What is already known about the topic?: • Delirium is common among individuals living in psychiatric settings and remains clinically under-detected, and it is associated with the length of hospital stay and poor prognoses. • Dementia with behavioral and psychological symptoms of dementia (BPSD) and other psychiatric illnesses has been shown to make delirium more likely. However, despite extensive research on factors associated with delirium, there is a notable lack of studies conducted in psychiatric settings. • Early detection and identification of delirium are crucial in psychiatric settings; however, literature regarding the assessment and identification of delirium has not been synthesized, particularly in the context of comorbid psychiatric illness. What this paper adds?: • Risk factors associated with delirium in patients with psychiatric illness primarily include advanced age, physical comorbid, types of psychiatric illness, antipsychotics, anticholinergic drug, Electroconvulsive therapy (ECT), and the combination of lithium and ECT. • Delirium Rating Scale-Revised-98, Memorial Delirium Assessment Scale, and Delirium Diagnostic Tool-Provisional might hold promising value as assessment tools for delirium in patients with psychiatric illness in psychiatric settings. [ABSTRACT FROM AUTHOR]

Background: Previous studies have shown that a disease outbreak may cause high stress among healthcare workers. However, the vast majority of those studies applied a variable-centered approach, in which relationships between the variables are believed to be identical across the studied population. The main purpose of this study was to identify latent profiles of healthcare workers with similar combinations of levels of various work-related stressors during the coronavirus disease 2019 (COVID-19) pandemic and to examine their predictors. Methods: A cross-sectional paper-and-pencil study was conducted among a convenience sample of 297 emergency department (ED) nurses and 219 emergency medical services (EMS) staff members working in 10 hospital EDs and 52 EMS centers in Ardabil province, Iran. Data were collected using the Health and Safety Executive Management Standards Indicator Tool (HSE-MS IT). Results: Using the latent profile analysis (LPA), five work-related stress profiles were identified: "high stress with a good understanding of one's job role" (11.1%), "moderate stress" (41.9%), "relatively high stress with average demands and a very low understanding of one's job role" (23.8%), "low stress" (18.0%), and "generally low stress but with very high job demands and relational conflicts" (5.2%). Age, marital status, service location, workplace, and the number of overtime hours significantly predicted profile membership. Conclusion: The results of the study suggest the importance of incorporating various sources of stress and using the person-centered approach when investigating the work-related stress of healthcare workers during disease outbreaks. Identifying sociodemographic and work-related predictors of profile membership may be useful for preparing interventions that will be better suited to healthcare workers' needs. [ABSTRACT FROM AUTHOR]

Background: Globally, the nursing profession faces shortages, high turnover, and inequitable distribution. These problems are particularly acute in South East Asia. The present paper describes the design and initial findings of the Thai Nurse Cohort Study (TNCS). Methods: The TNCS is a longitudinal prospective cohort study comprising multiple age cohorts, initiated in 2009 and expected to run until 2027. Cohorts comprise registered nurses (RN) holding professional licenses granted by the Thailand Nursing and Midwifery Council. Follow-up is at 3-year intervals, with new (younger) TNCS cohorts introduced and older, no-longer eligible members checked out. This maintains the cohort size as representative of the Thai RN population. The first survey round (2009) used a self-administered mailed questionnaire. The second round (2012) provided follow-up of the initial cohort and formed the baseline survey of new entries. Results: The sampling frame for the first round was 142,699 licensed RN; 50,200 age-stratified participants were randomly selected and mailed the questionnaire, and 18,198 questionnaires were returned owing to incorrect addresses. Of the remaining 32,002 participants, 18,756 (58.6 %) responded (average age 43.7 ± 9.8 years). About 15.4 % (equivalent to 20,000 of the current RN population), reported an intention to leave their nursing career. The second round achieved a follow-up rate of 60.2 %. This round included 3020 participants randomly selected from 6402 new RN (response rate, 38.3 %; mean age 23.1 ± 3.5 years). In this round, 11.2 % reported they intended to leave nursing in the next 2 years. Conclusions: These two survey rounds have highlighted that Thailand is facing critical nurse shortages. A high rate of nurses expressed an intention to leave the profession; the capacity to replace these potential losses is much lower. [ABSTRACT FROM AUTHOR]