BackgroundAn increasing number of systematic reviews (SRs) have evaluated the diagnostic values of next-generation sequencing (NGS) in infectious diseases (IDs).AimThis umbrella analysis aimed to assess the potential risk of bias in existing SRs and to summarize the published diagnostic values of NGS in different IDs.MethodWe searched PubMed, Embase, and the Cochrane Library until September 2023 for SRs assessing the diagnostic validity of NGS for IDs. Two investigators independently determined review eligibility, extracted data, and evaluated reporting quality, risk of bias, methodological quality, and evidence certainty in the included SRs.ResultsEleven SRs were analyzed. Most SRs exhibited a moderate level of reporting quality, while a serious risk of bias was observed in all SRs. The diagnostic performance of NGS in detecting pneumocystis pneumonia and periprosthetic/prosthetic joint infection was notably robust, showing excellent sensitivity (pneumocystis pneumonia: 0.96, 95% CI 0.90-0.99, very low certainty; periprosthetic/prosthetic joint infection: 0.93, 95% CI 0.83-0.97, very low certainty) and specificity (pneumocystis pneumonia: 0.96, 95% CI 0.92-0.98, very low certainty; periprosthetic/prosthetic joint infection: 0.95, 95% CI 0.92-0.97, very low certainty). NGS exhibited high specificity for central nervous system infection, bacterial meningoencephalitis, and tuberculous meningitis. The sensitivity to these infectious diseases was moderate. NGS demonstrated moderate sensitivity and specificity for multiple infections and pulmonary infections.ConclusionThis umbrella analysis indicates that NGS is a promising technique for diagnosing pneumocystis pneumonia and periprosthetic/prosthetic joint infection with excellent sensitivity and specificity. More high-quality original research and SRs are needed to verify the current findings.

Objectives: To identify and synthesise interventions and implementation strategies to optimise patient flow, addressing admission delays, discharge delays, and after-hours discharges in adult intensive care units. Methods: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. Five electronic databases, including CINAHL, PubMed, Emcare, Scopus, and the Cochrane Library, were searched from 2007 to 2023 to identify articles describing interventions to enhance patient flow practices in adult intensive care units. The Critical Appraisal Skills Program (CASP) tool assessed the methodological quality of the included studies. All data was synthesised using a narrative approach. Setting: Adult intensive care units. Results: Eight studies met the inclusion criteria, mainly comprising quality improvement projects (n = 3) or before-and-after studies (n = 4). Intervention types included changing workflow processes, introducing decision support tools, publishing quality indicator data, utilising outreach nursing services, and promoting multidisciplinary communication. Various implementation strategies were used, including one-on-one training, in-person knowledge transfer, digital communication, and digital data synthesis and display. Most studies (n = 6) reported a significant improvement in at least one intensive care process-related outcome, although fewer studies specifically reported improvements in admission delays (0/0), discharge delays (1/2), and after-hours discharge (2/4). Two out of six studies reported significant improvements in patient-related outcomes after implementing the intervention. Conclusion: Organisational-level strategies, such as protocols and alert systems, were frequently employed to improve patient flow within ICUs, while healthcare professional-level strategies to enhance communication were less commonly used. While most studies improved ICU processes, only half succeeded in significantly reducing discharge delays and/or after-hours discharges, and only a third reported improved patient outcomes, highlighting the need for more effective interventions. Implications for clinical practice: The findings of this review can guide the development of evidence-based, targeted, and tailored interventions aimed at improving patient and organisational outcomes.

Aims: Identify and synthesize evidence of nurses' competency in electrocardiogram interpretation in acute care settings. Design: Systematic mixed studies review. Data sources: Cumulative Index to Nursing and Allied Health Literature, Medline, Scopus and Cochrane were searched in April 2021. Review methods: Data were selected using the updated Preferred Reporting Items for Systematic Reviews and Meta-Analysis framework. A data-based convergent synthesis design using qualitative content analysis was adopted. Quality appraisal was undertaken using validated tools appropriate to study designs of the included papers. Results: Forty-three papers were included in this review. Skills and attitudes were not commonly assessed, as most studies referred to 'competency' in the context of nurses' knowledge in electrocardiogram interpretation. Nurses' knowledge levels in this important nursing role varied notably, which could be partly due to a range of assessment tools being used. Several factors were found to influence nurses' competency in electrocardiogram interpretation across the included studies from individual, professional and organizational perspectives. Conclusion: The definition of 'competency' was inconsistent, and nurses' competency in electrocardiogram interpretation varied from low to high. Nurses identified a lack of regular training and insufficient exposure in electrocardiogram interpretation. Hence, regular, standard training and education are recommended. Also, more research is needed to develop a standardized and comprehensive electrocardiogram interpretation tool, thereby allowing educators to safely assess nurses' competency. Impact: This review addressed questions related to nurses' competency in electrocardiogram interpretation. The findings highlight varying competency levels and assessment methods. Nurses reported a lack of knowledge and confidence in interpreting electrocardiograms. There is an urgent need to explore opportunities to promote and maintain nurses' competency in electrocardiogram interpretation

Attrition rates among nursing students are a global issue, and a possible factor in current nursing shortages. Numerous studies have been conducted to determine why students drop out of nursing programmes. The limitations of previous studies have included overly small sample sizes, being largely descriptive, and not focusing on attrition as an outcome. The aim of this study is to review the issue of attrition among undergraduate nursing students in relation to curriculum design. Five electronic databases, namely CINAHL, Medline, Cochrane Library, British Nursing Index, and PsycINFO, were adopted. Using the Population-Intervention-Comparison-Outcome model, search terms were identified, such as 'student nurse', 'undergraduate programme', 'curriculum design', and 'attrition'. Mixed Method Appraisal Tools were used to evaluate the methodological quality of the identified research papers. A total of 16 publications were reviewed and four themes were identified: pre-enrolment criteria for recruiting nursing students; curriculum content; clinical placement-related policies; and student support services. Institutional-level risk factors that could be reduced were identified, including academic failure, poor clinical performance, stress, and unrealistic expectations of nursing. This review gives insights into how a curriculum for undergraduate nursing programmes can be designed that will engage students and increase the nursing workforce.

AIM: To assess the efficacy of the multidisciplinary care (MDC) model for patients with chronic kidney disease (CKD). BACKGROUND: The MDC model has been used in clinical practice for years, but the effectiveness of the MDC model for patients with CKD remains controversial. METHODS: Embase, PubMed, Medline, the Cochrane Library, and China National Knowledge Infrastructure databases were used to search for relevant articles. Only randomized controlled trials and cohort studies were pooled. Two independent authors assessed all articles and extracted the data. The efficacy was estimated from the odds ratios and corresponding 95% confidence intervals. A random effects model was used according to the heterogeneity. RESULTS: Twenty-one studies including 10,284 participants were analyzed. Compared with the non-MDC group, MDC was associated with a lower risk of all-cause mortality and lower hospitalization rates for patients with CKD. In addition, MDC also resulted in a slower eGFR decline and reduced temporary catheterization for patients receiving dialysis. However, according to the subgroup analysis, the lower rates of all-cause mortality in the MDC group were observed only in patients in stage 4-5 and when the staff of the MDC consisted of nephrologists, nurse specialists and professionals from other fields. The most prominent effect of reducing the hospitalization rates was also observed in patients with stage 4-5 but not in patients with stage 4-5 CKD. CONCLUSIONS: MDC can lower the all-cause mortality of patients with CKD, reduce temporary catheterization for patients receiving dialysis, decrease the hospitalization rate, and slow the eGFR decline. Moreover, the reduction in all-cause mortality crucially depends on the professionals comprising the MDC staff and the stage of CKD in patients. In addition, the CKD stage influences the hospitalization rates.