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Background The COVID-19 pandemic has strained healthcare systems by creating a tragic imbalance between needs and resources. Governments and healthcare organizations have adapted to this pronounced scarcity by applying allocation guidelines to facilitate life-or-death decision-making, reduce bias, and save as many lives as possible. However, we argue that in societies beset by longstanding inequities, these approaches fall short as mortality patterns for historically discriminated against communities have been disturbingly higher than in the general population. Methods We review attack and fatality rates; survey allocation protocols designed to deal with the extreme scarcity characteristic of the earliest phases of the pandemic; and highlight the larger ethical perspectives (Utilitarianism, non-Utilitarian Rawlsian justice) that might justify such allocation practices. Results The COVID-19 pandemic has dramatically amplified the dire effects of disparities with respect to the social determinants of health. Patients in historically marginalized groups not only have significantly poorer health prospects but also lower prospects of accessing high quality medical care and benefitting from it even when available. Thus, mortality among minority groups has ranged from 1.9 to 2.4 times greater than the rest of the population. Standard allocation schemas, that prioritize those most likely to benefit, perpetuate and may even exacerbate preexisting systemic injustices. Conclusions To be better prepared for the inevitable next pandemic, we must urgently begin the monumental project of addressing and reforming the structural inequities in US society that account for the strikingly disparate mortality rates we have witnessed over the course of the current pandemic.

Background In the implementation of placement matching guidelines, feasibility has been concerned in previous research. Objectives of this process evaluation were to investigate whether the patient-centered matching guidelines (PCPM) are consistently applied in referral decision-making from an inpatient qualified withdrawal program to a level of care in aftercare, which factors affect whether patients actually receive matched aftercare according to PCPM, and whether its use is feasible and accepted by clinic staff. Methods The study was conducted as process evaluation within an exploratory randomized controlled trial in four German psychiatric clinics offering a 7-to-21 day qualified withdrawal program for patients suffering from alcohol dependence, and with measurements taken during detoxification treatment and six months after the initial assessment. PCPM were used with patients in the intervention group by feeding back to them a recommendation for a level of care in aftercare that had been calculated from Measurements in the Addictions for Triage and Evaluation (MATE) and discussed with the staff on the treatment unit. As measurements, The MATE, the Client Socio-Demographic and Service Receipt Inventory—European Version, a documentation form, the Control Preference Scale, and the Motivation for Treatment Scale were administered. A workshop for the staff at the participating trial sites was conducted after data collection was finished. Results Among 250 patients participating in the study, 165 were interviewed at follow-up, and 125 had received aftercare. Although consistency in the application of PCPM was moderate to substantial within the qualified withdrawal program (Cohen’s kappa ≥ .41), it was fair from discharge to follow-up. In multifactorial multinomial regression, the number of foregoing substance abuse treatments predicted whether patients received more likely undermatched (Odds Ratio=1.27; p =.018) or overmatched (Odds Ratio=0.78; p =.054) treatment. While the implementation process during the study was evaluated critically by the staff, they stated a potential of quality assurance, more transparency and patient-centeredness in the use of PCPM. Conclusions While the use of PCPM has the potential to enhance the quality of referral decision making within treatment, it may not be sufficient to determine referral decisions for aftercare. Trial Registration German Clinical Trials Register DRKS00005035 . Registered 03/06/2013.

When confronted by the novel ethical challenges posed by a pandemic, it is helpful to turn to history for guidance and direction. In this essay, the author revisits Thucydides's description of the Plague of Athens from The Peloponnesian War as he considers the New York State Task Force on Life and the Law's 2015 guidelines on ventilator allocation. Confronted by the exigencies of the Covid‐19 surge that struck New York, he questions the task force's decision not to give any degree of preference to health care workers who might become ill. He posits that they are due a compensatory ethic and some deference given the risks they have assumed, often with inadequate protective gear. Reflecting on his ambivalence, he asks if his change of heart reflects the impact of experiential learning or the erosion of nomos—or governing norms—described by Thucydides when the plague struck Athens.

Background: Placement matching guidelines are promising means to optimize patient-centered care and to match patients’ treatment needs. Despite considerable research regarding placement matching approaches to optimize alcohol abuse treatment, findings are inconclusive. Objectives: To investigate whether the use of patient-centered placement matching (PCPM) guidelines is more effective in reducing heavy drinking and costs 6 months after discharge from an inpatient alcohol withdrawal treatment compared to usual referral to aftercare. Secondary aims were to investigate whether age, gender, trial site or level of care (LOC) are moderators of efficacy and whether patients who were actually referred to the recommended LOC had better treatment outcomes compared to patients who were treated under- or overmatched. Methods: Design. Exploratory randomized controlled trial with measurements during withdrawal treatment and 6 months after initial assessment. Setting. Four German psychiatric clinics offering a 7–21 day inpatient qualified withdrawal program for patients suffering from alcohol dependence. Participants. From 1,927 patients who had a primary diagnosis of alcohol dependence and did not have organized aftercare when entering withdrawal treatment, 299 were invited to participate. Of those, 250 were randomized to the intervention group (IG, n = 123) or the control group (CG, n = 127). Intervention. The PCPM were applied to patients of the IG by feeding back a recommendation to a LOC for aftercare that was calculated from the Measurements in the Addictions for Triage and Evaluation (MATE) and discussed with the staff of the treatment unit. Patients of the CG received a general feedback regarding their MATE interview on request. Measurements. The MATE, the Client Socio-Demographic and Service Receipt Inventory-­European Version and the MATE-Outcomes were administered. Data were analyzed using generalized linear models. Results: In the intention-to-treat analysis, there were no significant differences between IG and CG regarding days of heavy drinking (incident risk ratio [IRR] 1.09; p = 0.640), direct (IRR 1.06; p = 0.779), indirect (IRR 0.77; p = 0.392) and total costs (IRR 0.89; p = 0.496). Furthermore, none of the investigated moderator variables affected statistically significant drinking or cost-related primary outcomes. Regardless of group allocation, patients who received matched aftercare reported significantly fewer days of heavy drinking than undermatched patients (IRR 2.09; p = 0.004). For patients who were overmatched, direct costs were significantly higher (IRR 1.79; p = 0.024), but with no additional effects on alcohol consumption compared to matched patients. Conclusions: While the use of PCPM failed to affect the actual referral to aftercare, our findings suggest that treating patients on the recommended LOC may have the potential to reduce days of heavy drinking compared to undertreatment and costs compared to overtreatment.

Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate existing health inequity. This problem arises in part because of systemic inequalities in dataset curation, unequal opportunity to participate in research and inequalities of access. This study aims to explore existing standards, frameworks and best practices for ensuring adequate data diversity in health datasets. Exploring the body of existing literature and expert views is an important step towards the development of consensus-based guidelines. The study comprises two parts: a systematic review of existing standards, frameworks and best practices for healthcare datasets; and a survey and thematic analysis of stakeholder views of bias, health equity and best practices for artificial intelligence as a medical device. We found that the need for dataset diversity was well described in literature, and experts generally favored the development of a robust set of guidelines, but there were mixed views about how these could be implemented practically. The outputs of this study will be used to inform the development of standards for transparency of data diversity in health datasets (the STANDING Together initiative). A systematic review, combined with a stakeholder survey, presents an overview of current practices and recommendations for dataset curation in health, with specific focuses on data diversity and artificial intelligence-based applications.

Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome. Simultaneous quantification of many metabolites within complex mixtures can additionally be complicated by ion suppression, fragmentation and the presence of isomers. Here we present guidelines covering sample preparation, replication and randomization, quantification, recovery and recombination, ion suppression and peak misidentification, as a means to enable high-quality reporting of liquid chromatography– and gas chromatography–mass spectrometry-based metabolomics-derived data.This Perspective, from a large group of metabolomics experts, provides best practices and simplified reporting guidelines for practitioners of liquid chromatography– and gas chromatography–mass spectrometry-based metabolomics.

Background Rabies is a preventable viral zoonotic disease with a near 100% case fatality rate once clinical symptoms appear. In Sudan, rabies remains a significant public health concern, exacerbated by limited resources and the ongoing armed conflict. Physicians play a critical role in rabies prevention and management, yet their knowledge and adherence to updated clinical guidelines remain poorly understood. This study assesses physicians’ knowledge, and awareness of rabies disease, adherence to updated rabies prophylaxis guidelines, and clinical practices in Sudan. Methods A cross-sectional study was conducted in June 2024, targeting licensed physicians actively practicing in Sudan. Data were collected using a self-administered, structured questionnaire distributed via social media platforms. The questionnaire evaluated demographic characteristics, general rabies knowledge, familiarity with updated guidelines, and clinical practices. Descriptive and inferential statistical analyses were performed using SPSS version 28, with significance set at p  < 0.05. Results A total of 468 physicians participated, with (52%) demonstrating adequate general rabies knowledge and only (7.1%) showing good knowledge of updated guidelines. Awareness of critical aspects, such as the intradermal route of vaccine administration (20.1%) and the appropriate use of post-exposure prophylaxis (PEP) (25.5%), was limited. Clinical practice scores indicated moderate knowledge, with 56.2% demonstrating good practice in rabies management. Correlation analysis revealed a positive association between knowledge of updated guidelines and clinical practice ( r  = 0.230, p  < 0.001). No significant associations were found between knowledge levels and demographic or professional characteristics. Conclusions The study reveals significant gaps in rabies knowledge, updated rabies prophylaxis guidelines awareness, and clinical practices among Sudanese physicians, highlighting the need for targeted training and resource allocation. Strengthening healthcare systems, particularly in conflict-affected regions, and promoting adherence to WHO rabies guidelines are critical to improving rabies prevention and management in Sudan.

With the explosive growth of mobile data demand, the fifth generation (5G) mobile network would exploit the enormous amount of spectrum in the millimeter wave (mmWave) bands to greatly increase communication capacity. There are fundamental differences between mmWave communications and existing other communication systems, in terms of high propagation loss, directivity, and sensitivity to blockage. These characteristics of mmWave communications pose several challenges to fully exploit the potential of mmWave communications, including integrated circuits and system design, interference management, spatial reuse, anti-blockage, and dynamics control. To address these challenges, we carry out a survey of existing solutions and standards, and propose design guidelines in architectures and protocols for mmWave communications. We also discuss the potential applications of mmWave communications in the 5G network, including the small cell access, the cellular access, and the wireless backhaul. Finally, we discuss relevant open research issues including the new physical layer technology, software-defined network architecture, measurements of network state information, efficient control mechanisms, and heterogeneous networking, which should be further investigated to facilitate the deployment of mmWave communication systems in the future 5G networks.

High quality protocols facilitate proper conduct, reporting, and external review of clinical trials. However, the completeness of trial protocols is often inadequate. To help improve the content and quality of protocols, an international group of stakeholders developed the SPIRIT 2013 Statement (Standard Protocol Items: Recommendations for Interventional Trials). The SPIRIT Statement provides guidance in the form of a checklist of recommended items to include in a clinical trial protocol. This SPIRIT 2013 Explanation and Elaboration paper provides important information to promote full understanding of the checklist recommendations. For each checklist item, we provide a rationale and detailed description; a model example from an actual protocol; and relevant references supporting its importance. We strongly recommend that this explanatory paper be used in conjunction with the SPIRIT Statement. A website of resources is also available (www.spirit-statement.org). The SPIRIT 2013 Explanation and Elaboration paper, together with the Statement, should help with the drafting of trial protocols. Complete documentation of key trial elements can facilitate transparency and protocol review for the benefit of all stakeholders.