Explore the vast range of titles available.

Background . Independent ethics review of research is required prior to the implementation of all health research involving human participants. However, ethics review processes are challenged by protracted turnaround times, which may negatively impact the implementation of socially valuable research. Previous research has documented delays in ethics review in developed and developing countries. This study aimed to determine the extent of variability in turnaround times for protocol review among different institutional review boards (IRBs) within Tanzania. Methods . This descriptive cross-sectional study employed a mixed-method approach, with qualitative and quantitative components. Seven IRBs were purposively sampled from the 15 accredited IRBs operational in Tanzania during the study period, April 2017–April 2018. Quantitative data were analysed using STATA software and qualitative data were analysed thematically. Results . The median time for review across all IRBs was 32 days, with a range of 1–396 days. Qualitative results identified five key themes related to turnaround time from interviews with participants. These included: (1) procedures for receiving and distribution of protocols, (2) number of reviewers assigned to protocols, (3) duration of reviewing protocols, (4) reasons for delayed feedback, and (5) training of research ethics committee members. Conclusion. The study showed that the median days for ethical approval in Tanzania was 32 days. We observed from this study that electronic submission systems facilitated faster turnaround times. Failure to adhere to the submission checklists and guidelines was a major obstacle to the turnaround time.

Abstract Objectives Composite frozen section turnaround time has limited value, precluding assessment of certain processes: slide preparation (technical) and diagnosis (interpretation). We examined whether measuring these elements could identify delays, hypothesizing that longer times were related to (1) inefficient technical processes and (2) case-specific diagnostic challenges. Methods Technical and interpretive times were determined for 1,992 specimens submitted for frozen section in 2017; the data were sorted by surgical specialty. Mean and quartile times were determined for each category with all specimens assessed equally, including those with multiple frozen section blocks. Results Technical times were significantly longer than interpretive times. Specialty grouping facilitated trend identification and enabled assessment of technical and interpretation challenges. We identified technical issues with certain gross specimens involving overdissection and interpretation delays for specific neoplasms and margins. Conclusions Measuring technical and interpretative times and subcategorizing by specialty has aided the assessment of frozen section processing in our laboratory, enabling case isolation for process improvement.

Early in the course of the coronavirus infection disease 2019 (COVID-19) pandemic in South Africa, the Department of Health implemented a policy of community screening and testing (CST). This was based on a community-orientated primary care approach and was a key strategy in limiting the spread of the pandemic, but it struggled with long turnaround times (TATs) for the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) reverse transcriptase polymerase chain reaction test. The local experience at Symphony Way Community Day Centre (Delft, Cape Town), highlighted these challenges. The first positive tests had a median TAT of 4.5 days, peaking at 29 days in mid-May 2020. Issues that contributed to long TATs were unavailability of viral transport medium, sample delivery and storage difficulties, staffing problems, scarcity of testing supplies and other samples prioritised over CST samples. At Symphony Way, many patients who tested COVID-19 positive had abandoned their self-isolation because of the delay in results. Employers were unhappy with prolonged sick leave whilst waiting for results and patients were concerned about not getting paid or job loss. The CST policy relies on a rapid TAT to be successful. Once the TAT is delayed, the process of contacting patients, and tracing and quarantining contacts becomes ineffective. With hindsight, other countries' difficulties in upscaling testing should have served as warning. Community screening and testing was scaled back from 18 May 2020, and testing policy was changed to only include high-risk patients from 29 May 2020. The delayed TATs meant that the CST policy had no beneficial impact at local level.

Background Therapeutic drug monitoring (TDM) may represent an invaluable tool for optimizing antimicrobial therapy in septic patients, but extensive use is burdened by barriers. The aim of this study was to assess the impact of a newly established expert clinical pharmacological advice (ECPA) program in improving the clinical usefulness of an already existing TDM program for emerging candidates in tailoring antimicrobial therapy among critically ill patients. Methods This retrospective observational study included an organizational phase (OP) and an assessment phase (AP). During the OP (January–June 2021), specific actions were organized by MD clinical pharmacologists together with bioanalytical experts, clinical engineers, and ICU clinicians. During the AP (July–December 2021), the impact of these actions in optimizing antimicrobial treatment of the critically ill patients was assessed. Four indicators of performance of the TDM-guided real-time ECPA program were identified [total TDM-guided ECPAs July–December 2021/total TDM results July–December 2020; total ECPA dosing adjustments/total delivered ECPAs both at first assessment and overall; and turnaround time (TAT) of ECPAs, defined as optimal (< 12 h), quasi-optimal (12–24 h), acceptable (24–48 h), suboptimal (> 48 h)]. Results The OP allowed to implement new organizational procedures, to create a dedicated pathway in the intranet system, to offer educational webinars on clinical pharmacology of antimicrobials, and to establish a multidisciplinary team at the morning bedside ICU meeting. In the AP, a total of 640 ECPAs were provided for optimizing 261 courses of antimicrobial therapy in 166 critically ill patients. ECPAs concerned mainly piperacillin–tazobactam (41.8%) and meropenem (24.9%), and also other antimicrobials had ≥ 10 ECPAs (ceftazidime, ciprofloxacin, fluconazole, ganciclovir, levofloxacin, and linezolid). Overall, the pre–post-increase in TDM activity was of 13.3-fold. TDM-guided dosing adjustments were recommended at first assessment in 61.7% of ECPAs (10.7% increases and 51.0% decreases), and overall in 45.0% of ECPAs (10.0% increases and 35.0% decreases). The overall median TAT was optimal (7.7 h) and that of each single agent was always optimal or quasi-optimal. Conclusions Multidisciplinary approach and timely expert interpretation of TDM results by MD Clinical Pharmacologists could represent cornerstones in improving the cost-effectiveness of an antimicrobial TDM program for emerging TDM candidates.

An essential participant in antimicrobial stewardship who has been unrecognized and underutilized is the \"staff nurse.\" Although the role of staff nurses has not formally been recognized in guidelines for implementing and operating antimicrobial stewardship programs (ASPs) or defined in the medical literature, they have always performed numerous functions that are integral to successful antimicrobial stewardship. Nurses are antibiotic first responders, central communicators, coordinators of care, as well as 24-hour monitors of patient status, safety, and response to antibiotic therapy. An operational analysis of inpatient admissions evaluates these nursing stewardship activities and analyzes the potential benefits of nurses' formal education about, and inclusion into, ASPs.

Although optimization of Vessel Turnaround Time (VTT) is a well-known research problem and its importance has long been understood, research on dry bulk carriers VTT has no priority in the available literature. It is one of the initial motives of the author to write this paper. After a general theoretical introduction, this paper presents research on dry bulk carriers’ loading time, as a component with the dominant share in the total VTT. Through the research, a mathematical model of interdependencies between dry bulk carrier‘s loading time and selected independent variables is defined using a multiple linear regression model. Results of statistical significance tests confirmed that the best-fit regression model is the one which adequately describes the correlation between the dry bulk carrier‘s loading time and the following independent variables: cargo quantity (loaded), number of used cranes per vessel and loading process interruptions. The presented results establish important bases for the author’s further research in this field as well as reliable planning bases for cargo handling management processes at dry bulk cargo terminals where cargo loading/unloading to/from vessels is realized by gantry cranes and/or mobile harbour cranes.

Healthcare services are facing challenges in increasing their efficiency, quality of care, and coping with surges in demand. To this end, some hospitals have implemented lean healthcare. The aim of this systematic review is to evaluate the effects of lean healthcare (LH) interventions on inpatient care and determine whether patient flow and efficiency outcomes improve. The review was performed according to PRISMA. We used six databases to search for studies published from 2002 to 2019. Out of 5732 studies, 39 measuring one or more defined outcomes were included. Hospital length of stay (LOS) was measured in 23 studies, 16 of which reported a reduction, turnover time (TOT) decreased in six out of eight studies, while the turnaround time (TAT) and on-time starts (OTS) improved in all five and seven studies, respectively. Moreover, eight out of nine studies reported an earlier discharge time, and the boarding time decreased in all four cases. Meanwhile, the readmission rate did not increase in all nine studies. Lastly, staff and patient satisfaction improved in all eight studies. Our findings show that by focusing on reducing non-value-added activities, LH contributed to improving patient flow and efficiency within inpatient care.

Considering the increasing number of identified driver oncogene alterations, additional genetic tests are required to determine the treatment for advanced non‐small‐cell lung cancer (NSCLC). Next‐generation sequencing can detect multiple driver oncogenes simultaneously, enabling the analysis of limited amounts of biopsied tissue samples. In this retrospective, multicenter study (UMIN ID000039523), we evaluated real‐world clinical data using the Oncomine Dx Target Test Multi‐CDx System (Oncomine DxTT) as a companion diagnostic system. Patients with NSCLC who were tested for a panel of 46 genes using the Oncomine DxTT between June 2019 and January 2020 were eligible for enrollment. Patients from 19 institutions affiliated to the West Japan Oncology Group were recruited. The primary endpoint of the study was the success rate of genetic alteration testing in four driver genes (EGFR, ALK, ROS1, and BRAF) using the Oncomine DxTT. In total, 533 patients were enrolled in the study. The success rate of genetic alteration testing for all four genes was 80.1% (95% CI 76.5%‐83.4%). Surgical resection was associated with the highest success rate (88.0%), which was significantly higher than that for bronchoscopic biopsy (76.8%, P = .005). Multivariate analysis revealed a significant difference for surgical resection alone (P = .006, 95% CI 1.36‐6.18, odds ratio 2.90). Although the success rate of genetic alteration testing immediately after Oncomine DxTT induction was not sufficient in this study, optimizing specimen quantity and quality may improve the use of driver gene testing in clinical settings. The mutation identification success rate for all four genes was 80.1%. Surgical resection was associated with the highest success rate. Multivariate analysis showed a significant difference for surgical resection alone.

Background: Advance technology and diagnostic approach to disease has increased workload burden on laboratory and timely reporting as well as reliable results provision to physicians is another challenge of laboratory.Objective: To compare pre-analytical errors, peak volume, flow rate and turn around time before and after total lab automation in clinical laboratory.Study type,settings& duration:A cross-sectional study was carried out at Shifa International Hospital, Islamabad from January 2018 to December 2020.Methodology:Present study assesses the key performance indicators based on the Total Lab Automation (TLA) work flow. Frequency and percentage was used to calculate increase in test volume before and after TLA implementation while one way ANOVA was used to test the difference in Turnaround Time (TAT).Results:Prior TLA average turnaround time(TAT) for routine chemistry was 4 hours while immunoassay TAT average reported was 6-7 hours.Post TLA average TAT for routine chemistry is 1-2 hour while for immunoassay it 3-4 hours. There is 5-10% increase in test volume after the TLA implementation. TAT shows significant mean difference before and after TLA installation (pvalue=0.00).Conclusion:In current study, findings prove that overall efficiency, turnaround time overall workload and optimize workflow occurred after implementation of TLA.Monitoring of key metrics help in continuous process improvement. Advance technology in laboratory makes work easier which was previously laborious.

The medical autopsy (also called hospital or clinical autopsy) is a highly specialised medical procedure, which requires professional expertise and suitably equipped facilities. To ensure high standards of performance, the Working Group of Autopsy Pathology of the European Society of Pathology (ESP) suggests a code of practice as a minimum standard for centres performing medical autopsies. The proposed standards exclusively address autopsies in adults, and not forensic autopsies, perinatal/or paediatric examinations. Minimum standards for organisation, standard of premises, and staffing conditions, as well as minimum requirements for level of expertise of the postmortem performing specialists, documentation, and turnaround times of the medical procedure, are presented. Medical autopsies should be performed by specialists in pathology, or by trainees under the supervision of such specialists. To maintain the required level of expertise, autopsies should be performed regularly and in a number that ensures the maintenance of good practice of all participating physicians. A minimum number of autopsies per dedicated pathologist in a centre should be at least 50, or as an average, at least one autopsy per working week. Forensic autopsies, but not paediatric/perinatal autopsies may be included in this number. Turnaround time for final reports should not exceed 3 weeks (14 working days) for autopsies without fixation of brain/spinal cord or other time-consuming additional examinations, and 6 weeks (30 working days) for those with fixation of brain/spinal cord or additional examinations.