Prioritization Criteria Research Articles

A Novel MCDM Approach Based on OPA-WINGS for Policy Making in Undergraduate Elective Courses

This research develops a novel MCDM approach that combines the ordinal priority approach (OPA) and a weighted influence nonlinear gauge system (WINGS), for policy making about undergraduate programs and specifically elective courses. We interviewed eight professors at the School of Engineering, Universidad Catolica del Norte, who are highly engaged in organizing elective courses to obtain their prioritization criteria for offering them to undergraduate students. We proposed and applied an MCDM approach based on OPA-WINGS to rank criteria that make the process of planning future electives courses to offer more straightforward. We found that scientific thinking, Industries’ needs, and the School’s research lines are the main criteria for designing a new elective class. We conducted a sensitivity analysis to demonstrate de robustness of the suggested measures. This work illustrates how OPA-WINGS can improve decision-making for offering elective courses. The results indicate that Industries’ needs and School’s research lines strongly impact undergraduate programs’ direction.

Multiple Band Prioritization Criteria-Based Band Selection for Hyperspectral Imagery

Band selection (BS) is an effective pre-processing way to reduce the redundancy of hyperspectral data. Specifically, the band prioritization (BP) criterion plays an essential role since it can judge the importance of bands from a particular perspective. However, most of the existing methods select bands according to a single criterion, leading to incomplete band evaluation and insufficient generalization against different data sets. To address this problem, this work proposes a multi-criteria-based band selection (MCBS) framework, which innovatively treats BS as a multi-criteria decision-making (MCDM) problem. First, a decision matrix is constructed based on several typical BPs, so as to evaluate the bands from different focuses. Then, MCBS defines the global positive and negative idea solutions and selects bands according to their relative closeness to these solutions. Since each BP has a different capability to discriminate the bands, two weight estimation approaches are developed to adaptively balance the contributions of various criteria. Finally, this work also provides an extended version of MCBS, which incorporates the subspace partition strategy to reduce the correlation of the selected bands. In this paper, the classification task is used to evaluate the performance of the selected band subsets. Extensive experiments on three public data sets verify that the proposed method outperforms other state-of-the-art methods.

Criteria for Ethical Allocation of Scarce Healthcare Resources: Rationing vs. Rationalizing in the Treatment for the Elderly

This paper stems from the current global worsening of the scarcity of resources for healthcare, which will deepen even more in future public emergencies. This justifies strengthening the reflection on the allocation of resources which, in addition to considering technical issues, should also involve ethical concerns. The two plans in which the allocation of resources develops—macro and micro—are then systematized, both requiring the identification of ethical criteria for the respective complex decision-making. Then, we describe how the complexity at the macro level focuses on the joint consideration of the rectitude of the principles, the goodness of the ends, and the integrity—respectively the deontological, teleological, and procedural perspectives; and at the micro level, it focuses in prioritizing people, which can result in the exclusion of some, as happened with the elderly during peaks of COVID-19. The main objective of this article is to show that, in public health emergency situations, in which the daily criteria for prioritizing access to health care are not efficient, it is possible not only to ration the available means but also to rationalize them. We argue that rationing and rationalization are different concepts, entail different consequences, have different ethical foundations, and draw different guidelines for patient care. We apply them to the distribution of intensive care and vaccines to the elderly thus demonstrating the ethically legitimate domain of implementation of each of these two prioritization criteria. We conclude that rationalization respects more strictly the core ethical principles of our common morality.

Security Requirements Prioritization Techniques: A Survey and Classification Framework

Security requirements Engineering (SRE) is an activity conducted during the early stage of the SDLC. SRE involves eliciting, analyzing, and documenting security requirements. Thorough SRE can help software engineers incorporate countermeasures against malicious attacks into the software’s source code itself. Even though all security requirements are considered relevant, implementing all security mechanisms that protect against every possible threat is not feasible. Security requirements must compete not only with time and budget, but also with the constraints they inflect on a software’s availability, features, and functionalities. Thus, the process of security requirements prioritization becomes an integral task in the discipline of risk-analysis and trade-off-analysis. A sound prioritization technique provides guidance for software engineers to make educated decisions on which security requirements are of topmost importance. Even though previous research has proposed various security requirement prioritization techniques, none of the existing research efforts have provided a detailed survey and comparative analysis of existing techniques. This paper uses a literature survey approach to first define security requirements engineering. Next, we identify the state-of-the-art techniques that can be adopted to impose a well-established prioritization criterion for security requirements. Our survey identified, summarized, and compared seven (7) security requirements prioritization approaches proposed in the literature.

Unmet medical need in otorhinolaryngology: A challenge forotorhinolaryngologists and head and neck surgeons

Otorhinolaryngologists and head and neck surgeons are predestined to scientifically analyze and prioritize the medical needs in ENT medicine under the umbrella of the German Society of Otolaryngology, Head and Neck Surgery (DGHNO-KHC). This medical need assessment is important for targeting research and development of medical innovations to improve ENT patients' care with these needs and to trigger respective research and innovation funding programs at an early stage. This is to recommend that the DGHNO-KHC and its working groups and task forces in their specialty disciplines address the issue. The goal is a comprehensive medical need assessment for the fields of otolaryngology as well as head and neck surgery. The parameterization of medical needs is based on the unmet medical need (UMN) concept. Criteria for prioritization should follow the method of multi-criteria decision analysis (MCDA). The working groups of the DGHNO-KHC familiarize themselves with the concept of UMN. Subsequently, suggestions on ENT diseases with UMN in diagnostics and therapy will be collected considering the medical evidence. The suggestions are evaluated in a standardized way according to MCDA and a ranking is established. The results will be published and used to make research funding institutions aware of UMN in otorhinolaryngology, head and neck surgery. The work will contribute to the further development of the UMN concept and will also be able to provide a basis to investigate the evidence of the concept to define the UMN. Through this work, the DGHNO-KHC will be perceived as an important scientific player for the development of need-driven medical innovations in Germany.

COVID-19 vaccine for people who live and work in prisons worldwide: A scoping review.

Overcrowding, poor conditions, and high population turnover make prisons highly susceptible to COVID-19. Vaccination is key to controlling COVID-19, yet there is disagreement regarding whether people who live and work in prisons should be prioritised in national vaccination programmes. To help resolve this, we critically examine the extent, nature, and quality of extant literature regarding prioritisation of COVID-19 vaccinations for people who live and work in prisons. Using a scoping review as our methodological framework, we conducted a systematic literature search of 17 databases. From 2,307 potentially eligible articles, we removed duplicates and screened titles and abstracts to retain 45 articles for review and quality appraisal. Findings indicated that while most countries recognise that prisons are at risk of high levels of COVID-19 transmission, only a minority have explicitly prioritised people who live and work in prisons for COVID-19 vaccination. Even among those that have, prioritisation criteria vary considerably. This is set against a backdrop of political barriers, such as politicians questioning the moral deservingness of people in prison; policy barriers, such as the absence of a unified international framework of how vaccine prioritisation should proceed in prisons; logistical barriers regarding vaccine administration in prisons; and behavioural barriers including vaccine hesitancy. We outline five strategies to prioritise people who live and work in prisons in COVID-19 vaccination plans: (1) improving data collection on COVID-19 vaccination, (2) reducing the number of people imprisoned, (3) tackling vaccine populism through advocacy, (4) challenging arbitrary prioritisation processes via legal processes, and (5) conducting more empirical research on COVID-19 vaccination planning, delivery, and acceptability. Implementing these strategies would help to reduce the impact of COVID-19 on the prison population, prevent community transmission, improve vaccine uptake in prisons beyond the current pandemic, foster political accountability, and inform future decision-making.

MEF: Multidimensional Examination Framework for Prioritization of COVID-19 Severe Patients and Promote Precision Medicine Based on Hybrid Multi-Criteria Decision-Making Approaches.

Effective prioritization plays critical roles in precision medicine. Healthcare decisions are complex, involving trade-offs among numerous frequently contradictory priorities. Considering the numerous difficulties associated with COVID-19, approaches that could triage COVID-19 patients may help in prioritizing treatment and provide precise medicine for those who are at risk of serious disease. Prioritizing a patient with COVID-19 depends on a variety of examination criteria, but due to the large number of these biomarkers, it may be hard for medical practitioners and emergency systems to decide which cases should be given priority for treatment. The aim of this paper is to propose a Multidimensional Examination Framework (MEF) for the prioritization of COVID-19 severe patients on the basis of combined multi-criteria decision-making (MCDM) methods. In contrast to the existing literature, the MEF has not considered only a single dimension of the examination factors; instead, the proposed framework included different multidimensional examination criteria such as demographic, laboratory findings, vital signs, symptoms, and chronic conditions. A real dataset that consists of data from 78 patients with different examination criteria was used as a base in the construction of Multidimensional Evaluation Matrix (MEM). The proposed framework employs the CRITIC (CRiteria Importance Through Intercriteria Correlation) method to identify objective weights and importance for multidimensional examination criteria. Furthermore, the VIKOR (VIekriterijumsko KOmpromisno Rangiranje) method is utilized to prioritize COVID-19 severe patients. The results based on the CRITIC method showed that the most important examination criterion for prioritization is COVID-19 patients with heart disease, followed by cough and nasal congestion symptoms. Moreover, the VIKOR method showed that Patients 8, 3, 9, 59, and 1 are the most urgent cases that required the highest priority among the other 78 patients. Finally, the proposed framework can be used by medical organizations to prioritize the most critical COVID-19 patient that has multidimensional examination criteria and to promptly give appropriate care for more precise medicine.

Impact of risk mapping as a strategy for monitoring and improving patient safety in paediatric emergency care

ObjectiveTo design a risk map (RM) as a tool for identifying and managing risks in the paediatric emergency department and to assess the impact of the improvement actions developed based on the identified risks in terms of the level of risk to patient safety. MethodologyA multidisciplinary working group reviewed the entire care process by applying the Failure Mode and Effects Analysis (FMEA) tool. Project phases: (1) RM 2017 and planning of improvement actions; (2) Development and implementation of improvement actions; (3) RM 2019; (4) Analysis: evolution of the RM and impact of improvement actions. ResultsA total of 106 failure modes (FMs) were identified in the 2017 RM (54.7% high- or very high risk). We applied prioritization criteria to select the improvement actions to plan. Nineteen improvement actions were planned, with assigned responsible parties and deadlines, to address 46 priority FMs. One hundred percent were implemented. In the 2019 RM, we identified 110 FMs (48.2% high risk) and found an overall reduction of the risk level of 20%. Analysing the 46 priority FMs that had been addressed by the 19 planned improvement actions, we found that 60% had changed from high to medium risk level and that the risk level had decreased, both overall (–27.8%) and by process. ConclusionThe FMEA is a useful tool to identify risks, analyse the impact of improvement strategies and monitor the risk level of a complex clinical care department. The improvement actions developed succeeded in reducing the level of risk in the processes in our unit, improving patient safety.

The Texas Health Resources Clinical Scholars Program: Learning healthcare system workforce development through embedded translational research.

IntroductionTexas Health Resources (THR), a large, nonprofit health care system based in the Dallas‐Fort Worth area, has collaborated with the University of Texas Southwestern Medical Center (UTSW) to develop and operate a unique, integrated approach for Learning Health System (LHS) workforce development. This training model centers on academic health system faculty members conducting later‐stage translational research within a partnering regional care delivery organization.MethodsThe THR Clinical Scholars Program engages early career UTSW faculty members to conduct studies that are likely to have an impact on care delivery at the health system level. Interested candidates submit formal applications to the program. A joint committee comprised of senior research faculty from UTSW and THR clinical leadership reviews proposals with a focus on the shared LHS needs of both institutions—developing high quality research output that can be applied to enhance care delivery. A key prioritization criterion for funding is the degree to which the research addresses a question relevant to THR as a high‐volume network with multiple channels for consumers to access care. The program emphasis is on supporting embedded research initiatives using health system data to generate knowledge that will improve the quality and efficiency of care for the patient populations served by the participant organizations.ResultsWe discuss specific strategic and tactical components of the THR Clinical Scholars Program including an overview of the academic affiliation agreement between the collaborating organizations, criteria for successful program applications, data sharing, and funding. We also share project summaries from selected clinical scholars as examples of the LHS research done in the program to date.ConclusionThis experience report provides an implementation framework for other academic health systems interested in adopting similar LHS workforce training models with community partners.

Lean and Green Product Development in SMEs: A Comparative Study between Small- and Medium-Sized Brazilian and Japanese Enterprises

Facing the new challenges in production processes, companies should adopt lean and green practices in product development. In SMEs, the application of these practices is more complex. This work explores the maturity of lean–green methodologies in the product development process in Brazilian and Japanese SMEs. The methodology used is multicriteria, combining the analytic hierarchy process (AHP) and TOPSIS 2-tuple method, applied to four Japanese SMEs and four Brazilian SMEs in the metalworking sector. The criteria for evaluating SMEs are company flexibility, difficulties with NPD, innovation, limited resources, and personnel authority high. The TOPSIS method alternatives refer to 18 lean–green enablers. In the AHP method, the prioritisation of criteria between Japanese and Brazilian specialists presented divergences. In the Japanese context, the incidence of innovation is predominant, while in the Brazilian context, the most important is the limited resources. In the TOPSIS 2-tuple method, the results showed a higher level of maturity in lean–green methodologies in Japanese companies than in Brazilian ones. Lean practices are more evolved compared to sustainable practices in both countries. The study also addressed how open innovation adoption may contribute to innovation and NPD practices. Policymakers need to understand the heterogeneity of innovators within SMEs and how they differently innovate, developing distinct internal and external activities.

Priority areas and integrated actions for the conservation of Amazonian turtle populations historically over-exploited by humans

The definition of priority areas for conservation and integrated management actions are essential for the effective maintenance and recovery of natural populations, especially for species overexploited by humans. Amazonian chelonians are a food resource historically used by people, resulting in the decline of species populations and worsening the risk of local extinctions. In this paper, we establish priority areas and define integrated conservation actions for populations of three Amazonian chelonians most threatened by human consumption in Brazil (Podocnemis expansa, P. unifilis and P. sextuberculata). To do so, we used 15 prioritization criteria (ecological, logistical and socioeconomic) estimated with 30 years monitoring data in 15 areas by the Amazon Chelonian Program (in portugues Projeto Quelonios da Amazonia, PQA). Each criterion presented four levels of priority with scores increasing according to the relevance for conservation of chelonian populations. The sum of the scores obtained in each area of the PQA allowed a ranking and four categories of importance for conservation to be defined. We also analyzed the similarity of scores among areas of the PQA and among the prioritization criteria to evaluate the application of integrated conservation action strategies. The areas of PQA were classified as Extremely Important for Conservation (Rebio Trombetas River, Middle Xingu River, Middle Araguaia River, Upper Guaporé River), Very Highly Important for Conservation (Middle Purus River, Middle Juruá River, Crixás-Açu River Mouth, Sub-middle Tapajós River); Highly Important for Conservation (Sub-Middle Araguaia River, Amazonas River Mouth, Middle Mortes River); and Important for Conservation (Middle Guaporé River, Lower Branco River, Flechal River, Afuá River). The prioritization and similarity analyses can support the development of a national integrated plan of conservation actions to reduce the overexploitation of Amazon chelonian populations, according to the ecological, logistical and socioeconomic needs of each PQA area.

Conservation Prioritization Criteria to Identify Rarity of the Plant Species, Habitats and Communities in the Lahaul Valley, Trans North-Western Himalaya, India

Conservation Prioritization Criteria to Identify Rarity of the Plant Species, Habitats and Communities in the Lahaul Valley, Trans North-Western Himalaya, India

A Multi-Analysis of Children and Adolescents' Video Gaming Addiction with the AHP and TOPSIS Methods.

The video game market has become increasingly popular among children and adolescents in recent decades. In this research, we investigated the Video Game Addiction Scale (VGAS) for Chinese children and adolescents. We aimed to examine children and adolescents’ prioritization on the VGAS criteria and comparative analysis of the trend of video game addiction among them. A cross-sectional paper questionnaire study was conducted on 1400 Chinese students from grade 3 (9 years old) to grade 12 (18 years old). The respondents had to complete the socio-demographic information and the VGAS test. The VGAS characteristic was prepared in 18 criteria, which was the combination of the Video Game Addiction Test (VAT), Gaming Addiction Scale (GAS), and Revised Chinese Internet Addiction (CIAS-R). Eventually, the VGAS criteria prioritization was ranked methodologically through the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for each grade separately. Additionally, the Analytic Hierarchy Process (AHP) weighting technique was utilized to analyze the video game addiction of each grade under the four alternatives, individually. The results indicate that 3rd-grade students with some levels of addiction were the youngest who felt their life would not be fun without video games. Students in 5th grade with some levels of addiction were the youngest students who disclosed that their willingness to play video games is for forgetting their problems or feeling down. Moreover, they played video games more than before, thus, they did not sleep enough. Pupils of grade 6 reported that they played video games more than last semester. In their opinion, it is fair to play video games this much and does not need to reduce playing hours. Not getting enough sleep because of playing video games was seen in 7th graders as their first preference. 10th-grade students were the first to neglect to do their important responsibilities for playing video games. None of the 7th and 12th graders were somehow safe from video game addiction. In conclusion, playing video games can negatively affect studying, sleeplessness, getting far from society, and skipping important responsibilities for school students. Furthermore, the symptoms of video game addiction had seen at younger ages. These data provided insights for decision-makers to target effective measures to prevent children and adolescents’ video game addiction.

Optimizing Public Charging: An Integrated Approach Based on GIS and Multi-Criteria Decision Analysis

The rise in electric vehicle uptake has reshaped the German mobility landscape at unprecedented speed and scale. While public charging is pivotal to growing the electric vehicle market, municipalities can play a crucial role in accelerating the energy transition in transport. This research aims to assist municipalities in planning their strategic rollouts of public charging infrastructure in size and location. In the first step, charging demand is estimated based on four development scenarios in 2030 of EV adoption and public charging. In a second step, a geospatial analysis was performed on the study area. Supply and demand criteria were considered to reflect the attractiveness of each location on a grid map. While the supply criteria represent constraints related to infrastructure availability, the demand criteria are categorized into three dimensions: residential, commercial, and leisure. The prioritization of demand criteria was derived from the municipality’s input using the analytical hierarchy process method to reflect its strategy. After obtaining the suitability index map, a cluster analysis was performed using a k-means clustering algorithm to ensure adequate geographical coverage of the charging network. Finally, the proposed charging stations in each scenario were allocated to the top-scoring locations, establishing a municipal public charging network.

Dynamic Surgical Waiting List Methodology: A Networking Approach

In Chile and the world, the supply of medical hours to provide care has been reduced due to the health crisis caused by COVID-19. As of December 2021, the outlook has been critical in Chile, both in medical and surgical care, where 1.7 million people wait for care, and the wait for surgery has risen from 348 to 525 days on average. This occurs mainly when the demand for care exceeds the supply available in the public system, which has caused serious problems in patients who will remain on hold and health teams have implemented management measures through prioritization measures so that patients are treated on time. In this paper, we propose a methodology to work in net for predicting the prioritization of patients on surgical waiting lists (SWL) embodied with a machine learning scheme for a high complexity hospital (HCH) in Chile. That is linked to the risk of each waiting patient. The work presents the following contributions; The first contribution is a network method that predicts the priority order of anonymous patients entering the SWL. The second contribution is a dynamic quantification of the risk of waiting patients. The third contribution is a patient selection protocol based on a dynamic update of the SWL based on the components of prioritization, risk, and clinical criteria. The optimization of the process was measured by a simulation of the total times of the system in HCH. The prioritization strategy proposed savings of medical hours allowing 20% additional surgeries to be performed, thus reducing SWL by 10%. The risk of waiting patients could drop by up to 8% annually. We hope to implement this methodology in real health care units.

Evaluation and prioritization of occupational safety and health risks of Shahid Sadoughi Hospital in Yazd in 2019

Introduction: Today, it is essential to pay attention to the opportunities and threats in health services, especially in hospitals, to identify and evaluate the existing risks and manage them in these centers. Hospital risk management is a program to reduce the occurrence and prevalence of preventable accidents and is of great economic, human and moral importance in the hospital environment. This study aimed to evaluate and prioritize the occupational safety and health risks of the staff of Shahid Sadoughi Hospital in Yazd in 2019
 Methods and material: : The present study is descriptive-cross-sectional. In the first step, the main risks in clinical, laboratory, facilities, radiology, and administrative departments were identified. Based on FMEA logic, three severity, probability, and vulnerability indicators were identified for each risk. Then, prioritization criteria were determined, and ANP prioritized the risks.
 Results: According to infectious disease experts with a risk of 0.86 in the clinical ward, inhalation of Barisek chemical vapor 1.17 in the laboratory, radiation of the device with a risk of 0.64 in imaging, infectious disease with a risk of 0.33 and 1.3 in order of priority The first were in the administrative and facilities department.
 Conclusion: The results showed that the hospital management should adopt special management programs to control infectious diseases with a staff health approach. Control measures should be set with priority risks. The difference in the obtained risk numbers indicated the different priorities of implementing risk management programs in each ward of Shahid Sadoughi Hospital.

Method for identifying industrial symbiosis opportunities

Industrial Symbiosis (IS) can reduce industrial waste and the need for virgin material extraction by utilizing waste generated by one industry as a raw material for another. Input-output matching is a commonly used approach for identifying potential IS partnerships. Usually, to collect necessary data for input-output matching, companies are asked to participate in workshops or surveys. However, such activities can be costly and time consuming. Additionally, companies may be unwilling to participate due to issues around data confidentiality. This article aims to show how these barriers can be overcome by a new method for identification of IS opportunities, which does not require companies to be surveyed. The developed matching approach uses statistical datasets and IS databases. The underlying principle is to use known IS partnerships and databases developed by the authors containing data on typical waste generation and resource use by industries, to expand and link other potential donors and receivers. This allows the expansion of one IS example into multiple potential relationships. The method promotes Circular Economy development by identifying more opportunities to utilize more secondary resources through connecting previously unrelated industry sectors. The method has been tested in Sweden, where the goal was to identify potential partnerships between industries that generate sawdust as a waste product and companies that could utilize sawdust in their industrial processes. Out of 6,726,534 potential symbiotic links identified by the method, 159,630 were shortlisted using prioritization criteria reflecting an increased likelihood of symbiosis.

Criteria Prioritization with the Best-Worst Method (BWM) in Risk Reduction Investments After the Provincial Disaster Risk Reduction Plans (IRAP)

Kısa adı İRAP olan “İl Afet Risk Azaltma Planları”, afetler ile mücadele yerelde başlar yaklaşımı temelinde, il ölçeğinde afetler konusunda sorumluluğu bulunan kamu kurumlarını, yerel yönetimleri, üniversiteleri, özel sektör ve sivil toplum kuruluşlarını bir araya getirmeyi amaçlayan ve ortak paydası afet risklerinin azaltılması olan planlardır. 2019-2023 yıllarını kapsayan On Birinci Kalkınma Planının İl Afet Risk Azaltma Planlarının hayata geçirilmesi hedefi doğrultusunda hazırlanan İRAP’lar, mahalli düzeyde planlanarak uygulamaya geçirilmesi hedeflenen afet tehlike ve risk azaltma çalışmalarının merkez ve taşra arasındaki koordinasyonunda önemli fonksiyonları bünyesinde barındırmaktadır. Bu bağlamda İRAP’ların; hem risk azaltma çalışmalarının sürekliliğinin sağlanmasında, hem de kamu ve sivil alanda afet risklerine karşı daha dirençli bir toplumun inşasında ciddi katkılar sağlayacağı düşünülmektedir. Çalışmada; kriter ağırlıklandırmayı sağlayan Best-Worst Metodu (BWM) kullanılmış olup uzman görüşleri analiz edilerek herhangi bir ilin afet risk azaltma planı hazırlanırken hangi kriter sıralamasına göre illerin önceliklendirileceği ve ortaya çıkan sonuca göre, hangi yatırımların hayata geçirilmesi gerektiğinin cevabı aranmaktadır. Çalışmanın afet risk azaltma alanında yürütülecek araştırmalara fayda sağlaması temenni edilmektedir.

Consensus on the criteria for patient prioritization in hospital clinical pharmacy services: a Delphi study.

Hospital pharmacists cannot provide extensive clinical pharmacy service to every inpatient because the demand for these services can exceed pharmacists' available work time. A way to solve this issue is hospital pharmacists to prioritize their clinical tasks. Tool prioritization could determine which patients would benefit from clinical pharmacists' input. Establishing consensus on which criteria are relevant for prioritizing patients for clinical pharmacy services. The Delphi method was performed with criteria identified from a previously published Scoping Review. The panel of experts included hospital pharmacists, who evaluated the clinical significance of criteria in a three-round Delphi panel from July to December 2020. They determined the need for sub-criteria and evaluated their clinical significance. The experts also analyzed the criteria/sub-criteria as to their applicability in clinical practice. Consensus criteria were defined as 70% or more participants scoring the criteria as critical and 15% or fewer scoring the criteria as unimportant. A total of 19 criteria and 230 sub-criteria were included for evaluation by panel experts based on scoping review. Twenty-nine, 22, and 17 experts participated per round, respectively. After completing the three rounds, experts suggested the inclusion of one criterion, the exclusion of one criterion, and the inclusion of 29 sub-criteria. The final list consisted of 18 criteria and 177 sub-criteria, divided into 28 groups. The result was comprehensive and coherent, potentially contributing to developing an instrument for prioritizing hospitalized patients for clinical pharmacy services.

Statistical considerations of nonrandom treatment applications reveal region-wide benefits of widespread post-fire restoration action

Accurate predictions of ecological restoration outcomes are needed across the increasingly large landscapes requiring treatment following disturbances. However, observational studies often fail to account for nonrandom treatment application, which can result in invalid inference. Examining a spatiotemporally extensive management treatment involving post-fire seeding of declining sagebrush shrubs across semiarid areas of the western USA over two decades, we quantify drivers and consequences of selection biases in restoration using remotely sensed data. From following more than 1,500 wildfires, we find treatments were disproportionately applied in more stressful, degraded ecological conditions. Failure to incorporate unmeasured drivers of treatment allocation led to the conclusion that costly, widespread seedings were unsuccessful; however, after considering sources of bias, restoration positively affected sagebrush recovery. Treatment effects varied with climate, indicating prioritization criteria for interventions. Our findings revise the perspective that post-fire sagebrush seedings have been broadly unsuccessful and demonstrate how selection biases can pose substantive inferential hazards in observational studies of restoration efficacy and the development of restoration theory.