Public legitimacy of healthcare resource allocation committees: lessons learned from assessing an Israeli case study.

BACKGROUND: The National Health Insurance Law enacted in 1995 stipulates a list of health services to which all Israeli residents are entitled. For the past 20 years, the list has been updated annually, as a function of a predetermined budget, according to recommendations from the Public National Advisory Committee (PNAC), which evaluates and prioritizes candidate technologies. We assessed the legitimacy of this resource-allocation process as reflected in Israeli public discourse and its congruence with the accountability for reasonableness (A4R) framework. METHODS: A qualitative analysis of public discourse documents (articles in the print media, court rulings and parliamentary debates (N = 119) was conducted to assess the perceived legitimacy by the Israeli public of the PNAC. Further content analysis of these documents and semi-structured interviews with stakeholders (N = 70) revealed the mainstays and threats to its legitimacy. Based on these data sources, on governmental documents specifying PNAC's procedures, and on data from participant observations, we assessed its congruence with A4R's four conditions: publicity, relevance, revision and appeals, regulation. RESULTS: The PNAC enjoys ongoing support for its legitimacy in Israeli public discourse, which stem from its perceived professional focus and transparency. These strengths are consistent with the A4R's emphasis on the publicity and the relevance conditions. The three major threats to PNAC's legitimacy pertain to: (1) the composition of the committee; (2) its operating procedures; (3) its guiding principles. These perceived shortcomings are also consistent with incongruencies between PNAC's work model and A4R. These findings thus further support the empirical validity of the A4R. CONCLUSION: The analysis of the fit between the PNAC and A4R points to refinements in all four conditions that could make the A4R a more precise evaluative framework. Concurrently, it highlights areas that the PNAC should improve to increase its legitimacy, such as incorporating cost-effectiveness analyses and including patient representatives in the decision-making process. Hebrew and Arabic abstracts for this article are available as an additional file.

Adequate emergency department resource usage: Applying simulation-based workshop to improve teaching competence among elementary and junior high school teachers in Taiwan.

INTRODUCTION: More than 80% of patients who visited Emergency Department (ED) was not urgent in Taiwan in 2019. It causes insufficient medical services and a latent fiscal threat to the Nation Health Insurance (NHI). This study adopted simulation-based educating modules to explore the effect in teaching competence among primary and middle school teachers for efficient AEDRU (adequate emergency department resource usage) education in the future. METHOD: The subjects were 414 elementary and junior high school teachers in Taiwan. 214 participants attended the simulation-based workshop as the simulation-based group, whereas 200 participants took an online self-learning module as the self-learning group. The workshop was created by an expert panel for decreasing the unnecessary usage amount of ED medial resources. The materials are lecture, board games, miniature ED modules, and simulation-based scenarios. A teaching competence questionnaire including ED knowledge, teaching attitude, teaching skills, and teaching self-efficacy was conducted among participants before and after the intervention. Data were analyzed via McNemar, paired t test and the generalized estimating equations (GEE). RESULTS: The study showed that teachers who participated in the simulation-based workshop had improved more in teaching competence than those who received the online self-learning module. In addition, there were significant differences between the pre-test and post-test among the two groups in teaching competence. CONCLUSION: The simulation-based workshop is effective and it should be spread out. When students know how to use ED medical resources properly, they could affect their families. It can help the ED service to be used properly and benefits the finance of the NHI. The health care cost will be managed while also improving health.

Predicting Hospital Resource Use During COVID-19 Surges: A Simple but Flexible Discretely Integrated Condition Event Simulation of Individual Patient-Hospital Trajectories.

OBJECTIVES: To assist with planning hospital resources, including critical care (CC) beds, for managing patients with COVID-19. METHODS: An individual simulation was implemented in Microsoft Excel using a discretely integrated condition event simulation. Expected daily cases presented to the emergency department were modeled in terms of transitions to and from ward and CC and to discharge or death. The duration of stay in each location was selected from trajectory-specific distributions. Daily ward and CC bed occupancy and the number of discharges according to care needs were forecast for the period of interest. Face validity was ascertained by local experts and, for the case study, by comparing forecasts with actual data. RESULTS: To illustrate the use of the model, a case study was developed for Guy's and St Thomas' Trust. They provided inputs for January 2020 to early April 2020, and local observed case numbers were fit to provide estimates of emergency department arrivals. A peak demand of 467 ward and 135 CC beds was forecast, with diminishing numbers through July. The model tended to predict higher occupancy in Level 1 than what was eventually observed, but the timing of peaks was quite close, especially for CC, where the model predicted at least 120 beds would be occupied from April 9, 2020, to April 17, 2020, compared with April 7, 2020, to April 19, 2020, in reality. The care needs on discharge varied greatly from day to day. CONCLUSIONS: The DICE simulation of hospital trajectories of patients with COVID-19 provides forecasts of resources needed with only a few local inputs. This should help planners understand their expected resource needs.

Deployment optimization of multi-stage investment portfolio service and hybrid intelligent algorithm under edge computing.

The purposes are to improve the server deployment capability under Mobile Edge Computing (MEC), reduce the time delay and energy consumption of terminals during task execution, and improve user service quality. After the server deployment problems under traditional edge computing are analyzed and researched, a task resource allocation model based on multi-stage is proposed to solve the communication problem between different supporting devices. This model establishes a combined task resource allocation and task offloading method and optimizes server execution by utilizing the time delay and energy consumption required for task execution and comprehensively considering the restriction processes of task offloading, partition, and transmission. For the MEC process that supports dense networks, a multi-hybrid intelligent algorithm based on energy consumption optimization is proposed. The algorithm converts the original problem into a power allocation problem via a heuristic model. Simultaneously, it determines the appropriate allocation strategy through distributed planning, duality, and upper bound replacement. Results demonstrate that the proposed multi-stage combination-based service deployment optimization model can solve the problem of minimizing the maximum task execution energy consumption combined with task offloading and resource allocation effectively. The algorithm has good performance in handling user fairness and the worst-case task execution energy consumption. The proposed hybrid intelligent algorithm can partition tasks into task offloading sub-problems and resource allocation sub-problems, meeting the user's task execution needs. A comparison with the latest algorithm also verifies the model's performance and effectiveness. The above results can provide a theoretical basis and some practical ideas for server deployment and applications under MEC.

Hospital Nursing Staff Perceptions of Resources Provided by Their Organizations During the COVID-19 Pandemic.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted the health and psychological well-being of hospital nursing staff. While additional support is needed to better cope with increased job stressors, little is known about what types of hospital resources have been provided and how nursing staff perceive them. This study addressed this gap by describing nursing staff perceptions of resources provided by hospitals during the COVID-19 pandemic in the United States. METHODS: Registered nurses and nursing assistants who were working in hospitals during the pandemic were recruited to an online survey via social media posts and emails between May and June 2020. A total of 360 free-text responses to an open-ended survey question were analyzed using content analysis. RESULTS: Over half of participants reported being provided with hospital resources. "Basic needs" resources that included food on-site, groceries, and childcare support were the most frequently reported compared with four other types of resources (personal health and safe practice, financial support, managerial support, communication). Four themes emerged related to staff perceptions of support: community support, unequal benefits, decreasing resources, and insufficient personal protective equipment. CONCLUSION: Our findings can assist organizational leaders in the planning and allocation of different types of resources that are meaningful to nursing staff and thus ensure sustainability, optimal performance, and worker well-being during crises.

Kidney transplantation after rescue allocation-meticulous selection yields the chance for excellent outcome.

BACKGROUND: The small number of organ donors forces transplant centres to consider potentially suboptimal kidneys for transplantation. Eurotransplant established an algorithm for rescue allocation (RA) of kidneys repeatedly declined or not allocated within 5 h after procurement. Data on the outcomes and benefits of RA are scarce to date. METHODS: We conducted a retrospective 8-year analysis of transplant outcomes of RA offers based on our in-house criteria catalogue for acceptance and decline of organs and potential recipients. RESULTS: RA donors and recipients were both older compared with standard allocation (SA). RA donors more frequently had a history of hypertension, diabetes or fulfilled expanded criteria donor key parameters. RA recipients had poorer human leucocyte antigen (HLA) matches and longer cold ischaemia times (CITs). However, waiting time was shorter and delayed graft function, primary non-function and biopsy-proven rejections were comparable to SA. Five-year graft and patient survival after RA were similar to SA. In multivariate models accounting for confounding factors, graft survival and mortality after RA and SA were comparable as well. CONCLUSIONS: Facing relevant comorbidities and rapid deterioration with the risk of being removed from the waiting list, kidney transplantation after RA was identified to allow for earlier transplantation with excellent outcome. Data from this survey propose not to reject categorically organs from multimorbid donors with older age and a history of hypertension or diabetes to aim for the best possible HLA matching and to carefully calculate overall expected CIT.

The principle of salvage in the context of COVID-19.

The prioritisation of scarce resources has a particular urgency within the context of the COVID-19 pandemic crisis. This paper sets out a hypothetical case of Patient X (who is a nurse) and Patient Y (who is a non-health care worker). They are both in need of a ventilator due to COVID-19 with the same clinical situation and expected outcomes. However, there is only one ventilator available. In addressing the question of who should get priority, the proposal is made that the answer may lie in how the pandemic is metaphorically described using military terms. If nursing is understood to take place at the 'frontline' in the 'battle' against COVID-19, a principle of military medical ethics-namely the principle of salvage-can offer guidance on how to prioritise access to a life-saving resource in such a situation. This principle of salvage purports a moral direction to return wounded soldiers back to duty on the battlefield. Applying this principle to the hypothetical case, this paper proposes that Patient X (who is a nurse) should get priority of access to the ventilator so that he/she can return to the 'frontline' in the fight against COVID-19.

Optimal Allocation of Research Funds under a Budget Constraint.

Purpose. Health economic evaluations that include the expected value of sample information support implementation decisions as well as decisions about further research. However, just as decision makers must consider portfolios of implementation spending, they must also identify the optimal portfolio of research investments. Methods. Under a fixed research budget, a decision maker determines which studies to fund; additional budget allocated to one study to increase the study sample size implies less budget available to collect information to reduce decision uncertainty in other implementation decisions. We employ a budget-constrained portfolio optimization framework in which the decisions are whether to invest in a study and at what sample size. The objective is to maximize the sum of the studies' population expected net benefit of sampling (ENBS). We show how to determine the optimal research portfolio and study-specific levels of investment. We demonstrate our framework with a stylized example to illustrate solution features and a real-world application using 6 published cost-effectiveness analyses. Results. Among the studies selected for nonzero investment, the optimal sample size occurs at the point at which the marginal population ENBS divided by the marginal cost of additional sampling is the same for all studies. Compared with standard ENBS optimization without a research budget constraint, optimal budget-constrained sample sizes are typically smaller but allow more studies to be funded. Conclusions. The budget constraint for research studies directly implies that the optimal sample size for additional research is not the point at which the ENBS is maximized for individual studies. A portfolio optimization approach can yield higher total ENBS. Ultimately, there is a maximum willingness to pay for incremental information that determines optimal sample sizes.

MRS-DP: Improving Performance and Resource Utilization of Big Data Applications with Deadlines and Priorities.

This article proposes the MapReduce scheduler with deadline and priorities (MRS-DP) scheduler capable of handling jobs with deadlines and priorities. Big data have emerged as a key concept and revolutionized data analytics in the present era. Big data are characterized by multiple dimensions or Vs, namely volume, velocity, variety, veracity, and valence. Recently, a new and important dimension (another V) is added, known as value. Value has emerged as an important characteristic and it can be understood in terms of delay in acquiring information, leading to late decisions that may result in missed opportunities. To gain optimal benefits, this article introduces a scheduler based on jobs with deadlines and priorities intending to improve resource utilization, with efficient job progress monitoring and backup launching mechanism. The proposed scheduler is capable of accommodating multiple jobs to maximize the number of jobs processed successfully and avoid starvation of lower priority jobs while improving the resource utilization and ensuring the assured quality of service (QoS). To evaluate our proposed scheduler, we ran multiple workloads consisting of the WordCount jobs and DataSort jobs. The performance of the proposed MRS-DP scheduler is compared with minimal earliest deadline first-work conserving scheduler and MapReduce Constraint Programming based Resource Management algorithm in terms of the percentage of successful jobs, priority-wise jobs, and resource utilization of the cluster. The result of the proposed scheduler depicts an improvement of around 10%-20% in terms of the percentage of successful jobs, 20%-25% concerning effective resource utilization offered, and the ability to ensure the offered QoS.

Impact of Acuity Circles on Outcomes for Pediatric Liver Transplant Candidates.

BACKGROUND: In December 2018, United Network for Organ Sharing approved an allocation scheme based on recipients' geographic distance from a deceased donor (acuity circles [ACs]). Previous analyses suggested that ACs would reduce waitlist mortality overall, but their impact on pediatric subgroups was not considered. METHODS: We applied Scientific Registry of Transplant Recipients data from 2011 to 2016 toward the Liver Simulated Allocation Model to compare outcomes by age and illness severity for the United Network for Organ Sharing-approved AC and the existing donor service area-/region-based allocation schemes. Means from each allocation scheme were compared using matched-pairs t tests. RESULTS: During a 3-year period, AC allocation is projected to decrease waitlist deaths in infants (39 versus 55; P < 0.001), children (32 versus 50; P < 0.001), and teenagers (15 versus 25; P < 0.001). AC allocation would increase the number of transplants in infants (707 versus 560; P < 0.001), children (677 versus 547; P < 0.001), and teenagers (404 versus 248; P < 0.001). AC allocation led to decreased median pediatric end-stage liver disease/model for end-stage liver disease at transplant for infants (29 versus 30; P = 0.01), children (26 versus 29; P < 0.001), and teenagers (26 versus 31; P < 0.001). Additionally, AC allocation would lead to fewer transplants in status 1B in children (97 versus 103; P = 0.006) but not infants or teenagers. With AC allocation, 77% of pediatric donor organs would be allocated to pediatric candidates, compared to only 46% in donor service area-/region-based allocation (P < 0.001). CONCLUSIONS: AC allocation will likely address disparities for pediatric liver transplant candidates and recipients by increasing transplants and decreasing waitlist mortality. It is more consistent with federally mandated requirements for organ allocation.

Outcomes of Patients Suspended From the National Kidney Transplant Waiting List in the United Kingdom Between 2000 and 2010.

BACKGROUND: In the United Kingdom, 1 in 3 patients on the National Kidney Transplant Waiting List (NKTWL) is suspended from the list at least once during their wait. The mortality of this large cohort of patients remains underreported and poorly described. METHODS: We linked patient records from the UK transplant registry to mortality data from the Office of National Statistics and evaluated the impact of a clinically induced suspension event by estimating hazard ratios (HRs) that compared mortality and graft survival between those who had experienced a suspension event and those who had not. RESULTS: Between January 1, 2000, and December 31, 2010, 16.7% (2221/13 322) of all patients registered on the NKTWL were suspended. Forty-eight percent (588/1225) of those who were suspended and who were never transplanted died, most often from cardiothoracic causes. A suspension event was associated with increased mortality from the time of listing (adjusted HR [aHR], 1.79; 1.64-1.95) and from the time of transplantation (aHR, 1.20; 1.06-1.37; P = 0.005). Graft survival was also poorer in those who had been suspended (aHR, 1.13; 1.01-1.28; P = 0.04). CONCLUSIONS: Patients suspended on the NKTWL have a significantly higher rate of mortality both on the waiting list and following transplantation. Earlier prioritization of patients at risk of experiencing a suspension event may improve their outcomes.

Recommendations from the Canadian Association of Head and Neck Surgical Oncology for the Management of Head and Neck Cancers during the COVID-19 pandemic.

INTRODUCTION: The SARS-CoV-2 virus (COVID19) pandemic has placed extreme pressures on the Canadian Healthcare system. Many health care regions in Canada have cancelled or limited surgical and non-surgical interventions on patients to preserve healthcare resources for a predicted increase in COVID19 related hospital admissions. Also reduced health interventions may limit the risk of possible transmission of COVID19 to other patients and health care workers during this pandemic. The majority of institutions in Canada have developed their own operational mandates regarding access to surgical resources for patients suffering from Head and Neck Cancers during this pandemic. There is a large degree of individual practitioner judgement in deciding access to care as well as resource allocation during these challenging times. The Canadian Association of Head and Neck Surgical Oncology (CAHNSO) convened a task force to develop a set of guidelines based on the best current available evidence to help Head and Neck Surgical Oncologists and all practitioners involved in the care of these patients to help guide individual practice decisions. MAIN BODY: The majority of head and neck surgical oncology from initial diagnosis and work up to surgical treatment and then follow-up involves aerosol generating medical procedures (AGMPs) which inherently put head and neck surgeons and practitioners at high risk for transmission of COVID19. The aggressive nature of the majority of head and neck cancer negates the ability for deferring surgical treatment for a prolonged period of time. The included guidelines provide recommendations for resource allocation for patients, use of personal protective equipment for practitioners as well as recommendations for modification of practice during the current pandemic. CONCLUSION: 1. Enhanced triaging should be used to identify patients with aggressive malignancies. These patients should be prioritized to reduce risk of significant disease progression in the reduced resource environment of COVID19 era. 2. Enhanced triaging including aggressive pre-treatment COVID19 testing should be used to identify patients with high risk of COVID19 transmission. 3. Enhanced personal protective equipment (PPE) including N95 masks and full eye protection should be used for any AGMPs performed even in asymptomatic patients. 4. Enhanced PPE including full eye protection, N95 masks and/or powered air purifying respirators (PAPRs) should be used for any AGMPs in symptomatic or presumptive positive COVID 19 patients.

Association of Gender and Race With Allocation of Advanced Heart Failure Therapies.

Importance: Racial bias is associated with the allocation of advanced heart failure therapies, heart transplants, and ventricular assist devices. It is unknown whether gender and racial biases are associated with the allocation of advanced therapies among women. Objective: To determine whether the intersection of patient gender and race is associated with the decision-making of clinicians during the allocation of advanced heart failure therapies. Design, Setting, and Participants: In this qualitative study, 46 US clinicians attending a conference for an international heart transplant organization in April 2019 were interviewed on the allocation of advanced heart failure therapies. Participants were randomized to examine clinical vignettes that varied 1:1 by patient race (African American to white) and 20:3 by gender (women to men) to purposefully target vignettes of women patients to compare with a prior study of vignettes of men patients. Participants were interviewed about their decision-making process using the think-aloud technique and provided supplemental surveys. Interviews were analyzed using grounded theory methodology, and surveys were analyzed with Wilcoxon tests. Exposure: Randomization to clinical vignettes. Main Outcomes and Measures: Thematic differences in allocation of advanced therapies by patient race and gender. Results: Among 46 participants (24 [52%] women, 20 [43%] racial minority), participants were randomized to the vignette of a white woman (20 participants [43%]), an African American woman (20 participants [43%]), a white man (3 participants [7%]), and an African American man (3 participants [7%]). Allocation differences centered on 5 themes. First, clinicians critiqued the appearance of the women more harshly than the men as part of their overall impressions. Second, the African American man was perceived as experiencing more severe illness than individuals from other racial and gender groups. Third, there was more concern regarding appropriateness of prior care of the African American woman compared with the white woman. Fourth, there were greater concerns about adequacy of social support for the women than for the men. Children were perceived as liabilities for women, particularly the African American woman. Family dynamics and finances were perceived to be greater concerns for the African American woman than for individuals in the other vignettes; spouses were deemed inadequate support for women. Last, participants recommended ventricular assist devices over transplantation for all racial and gender groups. Surveys revealed no statistically significant differences in allocation recommendations for African American and white women patients. Conclusions and Relevance: This national study of health care professionals randomized to clinical vignettes that varied only by gender and race found evidence of gender and race bias in the decision-making process for offering advanced therapies for heart failure, particularly for African American women patients, who were judged more harshly by appearance and adequacy of social support. There was no associated between patient gender and race and final recommendations for allocation of advanced therapies. However, it is possible that bias may contribute to delayed allocation and ultimately inequity in the allocation of advanced therapies in a clinical setting.

CLINICAL DECISION MAKING IN OLDER ADULTS WITH COVID-19 IN DEVELOPING COUNTRIES: LOOKING BEYOND CHRONOLOGICAL AGE.

BACKGROUND: The coronavirus disease 2019 (COVID-19) has been declared a global pandemic. Older adults have been found as a vulnerable group for developing severe forms of disease and increased mortality. OBJECTIVE: The objective of the study was to propose a pathway to assist the decision-making process for hospital resource allocation for older adults with COVID-19 using simple geriatric assessment-based tools. METHODS: We reviewed the available literature at this point of the COVID-19 outbreak, focusing in older adult care to extract key recommendations for those health-care professionals who will be treating older adults in the hospital emergency ward (HEW) in developing countries during the COVID-19 pandemic. RESULTS: We listed a series of easy recommendations for non-geriatrician doctors in the HEW and suggested simple tools for hospital resource allocation during critical care evaluation of older adults with COVID-19 in low- and middle-income countries. CONCLUSIONS: Age must not be used as the sole criterion for resource allocation among older adults with COVID-19. Simple and efficient tools are available to identify components of the comprehensive geriatric assessment, which could be useful to predict outcomes and provide high-quality care that would fit the particular needs of older adults in resource-limited settings amidst this global pandemic.

Clinical decision making in older adults with COVID-19 in developing countries: looking beyond chronological age

ABSTRACT Background: The coronavirus disease 2019 (COVID-19) has been declared a global pandemic. Older adults have been found as a vulnerable group for developing severe forms of disease and increased mortality. Objective: The objective of the study was to propose a pathway to assist the decision-making process for hospital resource allocation for older adults with COVID-19 using simple geriatric assessment-based tools. Methods: We reviewed the available literature at this point of the COVID-19 outbreak, focusing in older adult care to extract key recommendations for those health-care professionals who will be treating older adults in the hospital emergency ward (HEW) in developing countries during the COVID-19 pandemic. Results: We listed a series of easy recommendations for non-geriatrician doctors in the HEW and suggested simple tools for hospital resource allocation during critical care evaluation of older adults with COVID-19 in low- and middle-income countries. Conclusions: Age must not be used as the sole criterion for resource allocation among older adults with COVID-19. Simple and efficient tools are available to identify components of the comprehensive geriatric assessment, which could be useful to predict outcomes and provide high-quality care that would fit the particular needs of older adults in resource-limited settings amidst this global pandemic.

[Ethical recommendations for a difficult decision-making in intensive care units due to the exceptional situation of crisis by the COVID-19 pandemia: A rapid review & consensus of experts]. / Recomendaciones éticas para la toma de decisiones difíciles en las unidades de cuidados intensivos ante la situación excepcional de crisis por la pandemia por COVID-19: revisión rápida y consenso de expertos.

In view of the exceptional public health situation caused by the COVID-19 pandemic, a consensus work has been promoted from the ethics group of the Spanish Society of Intensive, Critical Medicine and Coronary Units (SEMICYUC), with the objective of finding some answers from ethics to the crossroads between the increase of people with intensive care needs and the effective availability of means.In a very short period, the medical practice framework has been changed to a 'catastrophe medicine' scenario, with the consequent change in the decision-making parameters. In this context, the allocation of resources or the prioritization of treatment become crucial elements, and it is important to have an ethical reference framework to be able to make the necessary clinical decisions. For this, a process of narrative review of the evidence has been carried out, followed by a unsystematic consensus of experts, which has resulted in both the publication of a position paper and recommendations from SEMICYUC itself, and the consensus between 18 scientific societies and 5 institutes/chairs of bioethics and palliative care of a framework document of reference for general ethical recommendations in this context of crisis.

Constraints of coal mining safety management efficiency.

BACKGROUND: Investigation of the safety management efficiency in a coal mine aims to improve its safety management level thus ensuring coal mining safety. However, the safety management efficiency is affected by many factors especially for those coal mines operated underground. Furthermore, the constraint factors that are difficult to be identified and eliminated may impede safety management efficiency. OBJECTIVE: This work aims to explore the constraints affecting safety management efficiency through a mathematical model accompanied by some effective measures guided by the theory of constraint (TOC). METHODS: An index system for coal mining safety management efficiency (CMSME) is first established. Then a mathematical model roughly identifying the constraint factors is constructed. The principle of the proposed model is a comparison with the changes of the ratio of integrated CMSME and the ratio of each impact factor over a certain period. Thus, a constraint factor may be one whose ratio changes at a slower rate than that of the integrated CMSME. Following this, some measures are adopted to identify one, or more, real constraints. Finally, the constraints may be broken by internal, or external, means. RESULTS: A case study from Quandian coal mine verified the proposed method: the constraints affecting CMSME could be identified and broken through during the production. This research currently is applied to coal mining activities in a few coal mines, and it will be widely used in the future. CONCLUSIONS: This paper provides a novel method investigating the constraints affecting CMSME and breaking through them. The case study shows that breaking through constraints during the production is beneficial to CMSME. Furthermore, a coal mine with a high CMSME index may still, at some time, have one, or more, bottleneck constraints.

A Practical Approach to the Management of Cancer Patients During the Novel Coronavirus Disease 2019 (COVID-19) Pandemic: An International Collaborative Group.

The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread globally since being identified as a public health emergency of major international concern and has now been declared a pandemic by the World Health Organization (WHO). In December 2019, an outbreak of atypical pneumonia, known as COVID-19, was identified in Wuhan, China. The newly identified zoonotic coronavirus, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is characterized by rapid human-to-human transmission. Many cancer patients frequently visit the hospital for treatment and disease surveillance. They may be immunocompromised due to the underlying malignancy or anticancer therapy and are at higher risk of developing infections. Several factors increase the risk of infection, and cancer patients commonly have multiple risk factors. Cancer patients appear to have an estimated twofold increased risk of contracting SARS-CoV-2 than the general population. With the WHO declaring the novel coronavirus outbreak a pandemic, there is an urgent need to address the impact of such a pandemic on cancer patients. This include changes to resource allocation, clinical care, and the consent process during a pandemic. Currently and due to limited data, there are no international guidelines to address the management of cancer patients in any infectious pandemic. In this review, the potential challenges associated with managing cancer patients during the COVID-19 infection pandemic will be addressed, with suggestions of some practical approaches. IMPLICATIONS FOR PRACTICE: The main management strategies for treating cancer patients during the COVID-19 epidemic include clear communication and education about hand hygiene, infection control measures, high-risk exposure, and the signs and symptoms of COVID-19. Consideration of risk and benefit for active intervention in the cancer population must be individualized. Postponing elective surgery or adjuvant chemotherapy for cancer patients with low risk of progression should be considered on a case-by-case basis. Minimizing outpatient visits can help to mitigate exposure and possible further transmission. Telemedicine may be used to support patients to minimize number of visits and risk of exposure. More research is needed to better understand SARS-CoV-2 virology and epidemiology.