Good Decisions Research Articles

Decision-making Process of Mathematics Teacher in Responding to Student's Mistake

Students lack deep understanding and their learning needs, make it difficult for teachers to respond effectively to student errors. The case study investigated the decision-making process of teachers who respond to the student’s mistakes with solutions to quadratic function problems. This type of research is qualitative research with a descriptive approach. The results are revealed based on the decision-making stages: (1) generating ideas, the subject designed strategies using the GeoGebra application, and developing problems to train students’ HOTS skills. (2) Clarifying ideas, the subject considered students’ ability to understand the problem more easily if it is presented in visual form. (3) Assessing the fairness of ideas, the subject believed that when students were trained from carefully correcting their work to carefully proofreading their work, they learned from their mistakes and prevented them from repeating it. In conclusion, teacher can make good decisions by constructing and assessing ideas so that students can understand their mistakes. Keywords: decision making, mathematics teacher, quadratic function

Experimental Investigation of Indirect Tensile Strength of Hot Mix Asphalt with Varying Hydrated Lime Content at Low Temperatures and Prediction with Soft-Computing Models

If asphalt pavements are exposed to cold weather conditions and high humidity for long periods of time, cracking of the pavement is an inevitable consequence. In such cases, it would be a good decision to focus on the filler material, which plays an important role in the performance variation in the hot asphalt mixtures used in the pavement. Although the use of hydrated lime as a filler material in hot asphalt mixtures is a common method frequently recommended to eliminate the adverse effects of low temperature and to keep moisture sensitivity under control in asphalt pavements, the sensitivity of the quantities of the material cannot be ignored. Therefore, in this study, an amount of filler in the mixture was replaced with hydrated lime (HL) filler additive at different rates of 0%, 1%, 2%, 3% and 4%. These asphalt briquettes, designed according to the Marshall method, have optimum asphalt contents for samples with specified HL content. In this study, where the temperature effect was examined at five different levels of −10 °C, −5 °C, 0 °C, 5 °C and 25 °C, the samples were produced in two different groups, conditioned and unconditioned, in order to examine the effect of water. The indirect tensile strength (ITS) test was applied on the produced samples. Experimental study showed that HL additive strengthened the material at low temperatures and made it more resistant to cold weather conditions and humidity. In the second part of the study, two different prediction models with varying configurations were introduced using nonlinear regression and feed-forward neural networks (FFNNs) and the best prediction performance among these was investigated. Examination of the performance measures of the prediction models indicated that ITS can be accurately predicted using both methods. As a result of comparing the developed models with the experimental data, the model provides significant contributions to the evaluation of the relationship between the ITS values obtained with the specified conditioning, temperature changes and HL contents.

Implications of living evidence formats for coverage decisions in the German health care system

Decision-makers consult systematic reviews and clinical guidelines to make informed coverage decisions based on the current state of evidence. Outdated recommendations in rapidly evolving areas such as lung cancer treatment, are challenging. The COVID-19 pandemic highlighted the need for good decision-making under uncertainty.The descriptive analysis of two samples of evidence bases for evidence synopses to prepare the decision on appropriate comparators shows that living systematic reviews and living clinical guidelines are rare (41/5,463; 0.75%) but present, with COVID-19 being the most common indication. We also describe some characteristics and quality issues of these living formats in the German context.We note an overlap between living and rapid formats, where updates may not adhere to methodological standards in evidence selection, appraisal and formulation of recommendations, or may lack transparency in their methodological processes. The need for critical appraisal of living formats is highlighted as crucial aspect.The production of living systematic reviews and clinical guidelines requires considerable resources and expertise. While there is a need for timeliness in decision making, especially in situations of high uncertainty such as the COVID-19 pandemic, the trade-off between time and quality needs to be balanced. The focus should therefore be on how best to select and process recommendations that are relevant for updating and those that are not.Regularly updated systematic reviews and clinical guidelines that adhere to recommended standards are important for decision-making bodies such as the Federal Joint Committee (G-BA). Transparent documentation of the process and methods used increases confidence in decision-making, even when the evidence base is not perfect.

Unproven stem cell therapies: an evaluation of patients’ capacity to give informed consent

ABSTRACT Capitalising on the hype surrounding regenerative medicine, there are clinics worldwide marketing unproven stem cell-based therapies to patients. Some patients have travelled overseas to access treatments they believe are safe and effective. This practice, known as stem cell tourism, could result in adverse effects in some patients. This paper seeks to examine how the industry could threaten the validity of the patient's informed consent. The vulnerable groups include adults, minors and incompetent patients. Since patients are exposed to exaggerated claims and inaccurate information, this article argues that each cohort may not truly consent to such therapies. While each group hopes to obtain a miracle cure, the reality is that these purported medical treatments may not enable patients to give their informed consent, which thereby inhibits good decision-making. Accordingly, states could restrict patients’ access to unproven stem cell-based therapies to control the problem. This paper illustrates how the regulatory framework in countries such as Australia and the United States (U.S.) has allowed the industry to thrive. Recommendations on how states can take a restrictive stance against this complex phenomenon are proposed.

The Use of Cloud Platform Technology to Help University Music Teachers Teaching Decision-Making Research

With the COVID-19 pandemic, more and more universities are turning to online teaching, and music teaching is no exception. Because music teaching pays attention to the particularness of teachers' demonstration and students' imitation, the change of teaching environment from offline teaching to online teaching has a greater impact on the music discipline, which has new requirements for teachers' decision-making level. Through literature and questionnaires, this study identified that the most significant factor affecting teachers' decision making after the teaching environment was changed to online teaching was teacher-student interaction and designed a model to improve the interactive teaching of teachers through cloud platform technology. It is found that the model can effectively improve the interaction between teachers and students, so that teachers can make good decisions more easily and easily, so as to improve students' music scores and achieve effective teaching.

Teaching actively open-minded thinking online: encouraging effects of a serious computer game and an online module

ABSTRACT Actively open-minded thinking (AOT) represents a standard for good judgment and decision making and people differ in their proneness to this way of thinking. Studies show that people inclined to AOT are less erroneous and biased on decision-making tasks, hold less unwarranted beliefs and are more accurate in a range of judgments. However, there are very few studies that tested the possibility of teaching AOT. In this study, we report results of an experiment in which we tested the effectiveness of our two newly developed online interventions for teaching AOT, a serious educational computer game and an online module. Results showed weak but encouraging effects of these interventions. Compared to the control group, the interventions managed to somewhat reduce confidence, overconfidence and myside bias, and in the short run increase participants’ tendency to be actively open-minded in various everyday situations.

Organizational health literacy in German hospitals: a cross-sectional survey among hospital managers

BackgroundOrganizational health literacy (OHL) describes conditions and measures in healthcare institutions to enable patients to make good health-related decisions. By providing easy access to and appropriate communication of understandable information to use and navigate the facility, healthcare organizations can contribute to strengthening patients’ health literacy and self-management. The extent of OHL implementation in German hospitals remains largely unknown. This study aims to fill this gap in our knowledge by investigating OHL-related activities reported by hospital managers.MethodsBetween November and December 2022, we conducted a national online survey among medical, nursing and administrative hospital managers with hospitals that operate more than 50 beds. The data were collected via the health literate health care organization ten item questionnaire (HLHO-10) and supplemented by sociodemographic questions and an open-ended question. We applied variance and correlation analyses to investigate the data.ResultsOf 3,301 invited hospital managers, 371 participated in the survey (response rate 11%). The overall mean score for HLHO-10 was 4.6 (SD = 1.1) on a 7-point Likert scale, indicating a moderate level of OHL implementation. Hospital managers stated that hospitals concentrate on helping patients find their way around and communicating the costs of treatment transparently and clearly; conversely, that active patient participation in the design and evaluation of health information is rare in care settings, and that health information is seldom provided to patients through a range of media. For the practical implementation of the OHL, most hospital managers mentioned activities regarding communication standards, such as providing information materials.ConclusionsGiven their unique position as hubs of human interaction, hospitals provide an ideal opportunity to promote the adoption of OHL. By actively involving patients, hospitals can better tailor their approaches to meet patient needs and preferences. Compared to studies from oncology centres in Germany and 20 Italian hospitals, the average HLHO-10 score of this study is lower. While some aspects of OHL are already embedded in inpatient care, it is imperative that OHL is thoroughly embedded in the hospitals’ organizational culture and plays a fundamental role in the daily operations of the institution. This could be done, for instance, by more explicitly addressing the topic of health literacy in staff communication training.

Schopenhauer, Judicial Compassion, and the Case of Cecilia the Chimpanzee

Abstract Over the last decades, a growing body of literature has focused on the role of compassion in legal decision making. To this respect, judicial compassion has been almost exclusively thematized in relation to human animals. In this paper, I claim that compassion shows itself especially relevant when judges should decide controversial cases involving animals. Drawing on Schopenhauer’s account of compassion, I contend that this emotion in particular can contribute to good decision making. To illustrate the argument, I analyze a renowned case from Argentinian jurisprudence: the case of Cecilia the chimpanzee.

Evaluation of transition to 100% electric vehicles (EVs) by 2052 in the United States

With the rising need to transition from fossil fuel consumption to renewables, the transportation industry is foreseeing large-scale adoption of electric vehicles (EVs). According to various studies, the petroleum resources will last until or around 2052. Utilizing the US Federal Highway Administration (FHWA) published data on the number of registered vehicles by each state, the profile of vehicles by 2052 was forecasted using a time series. The vehicle profile comprised vehicles by each type classified as automobiles, buses, trucks, and motorcycles. This future profile became the basis of the quantification of total EVs by the end of 2052. Based on the available fuel economy data published by the US Department of Energy, the average energy consumption per mile (kWh/mile) of each vehicle type was factored into the energy demand calculation for 100% electrification by 2052. A roof-top solar photovoltaic system is easy to install on unoccupied roof space for US house owners. Obtaining the capacity of such a roof-top solar PV system acts as a good decision-making criterion for both house owners and developers. However, for city-dwellers living in multi-family residential buildings, the potential of utilization of roof-top solar PV becomes a subject of future work when effective sharing of resources for local power generation by renewables and development of community-shared EV charging infrastructure is concerned. How well EVs performed against internal combustion engine (ICE) vehicles in terms of fuel efficiency and reduced carbon emissions is a driving factor for this transition. For energy demand calculations, a base model was framed, and results were obtained by utilizing mathematical and statistical tools. After accounting for the effects of improved fuel efficiency or reduced energy consumption by EVs over time, the model was modified to obtain revised energy demand and, thus, effective energy generation required. Accordingly, the capacity of EV charging infrastructure required by each state determined the need for preparation by utility companies and local jurisdictions. With limitations on battery size and thus increased frequency for drivers to return for charging, additional fast chargers (level 3) at existing gasoline stations become an option that requires further assessment.

Risk factors and predictive model for nosocomial infections by extensively drug-resistant Acinetobacter baumannii.

Extensively drug-resistant Acinetobacter baumannii (XDRAB) has become a significant pathogen in hospital environments, particularly in intensive care units (ICUs). XDRAB's resistance to conventional antimicrobial treatments and ability to survive on various surfaces pose a substantial threat to patient health, often resulting in severe infections such as ventilator-associated pneumonia (VAP) and bloodstream infections (BSI). We retrospectively analyzed clinical data from 559 patients with XDRAB infections admitted to Jinhua Central Hospital between January 2021 and December 2023. Patients were randomly divided into a training set (391 cases) and a testing set (168 cases). Variables were selected using Lasso regression and logistic regression analysis, and a predictive model was constructed and validated internally and externally. Model performance and clinical utility were evaluated using the Hosmer-Lemeshow test, C-index, ROC curve, decision curve analysis (DCA), and clinical impact curve (CIC). Lasso regression analysis was used to screen 35 variables, selecting features through 10-fold cross-validation. We chose lambda.1se=0.03450 (log(lambda.1se)=-3.367), including 10 non-zero coefficient features. These features were then included in a multivariate logistic regression analysis, identifying 8 independent risk factors for XDRAB infection: ICU stay of 1-7 days (OR=3.970, 95%CI=1.586-9.937), ICU stay >7 days (OR=12.316, 95%CI=5.661-26.793), hypoproteinemia (OR=3.249, 95%CI=1.679-6.291), glucocorticoid use (OR=2.371, 95%CI=1.231-4.564), urinary catheterization (OR=2.148, 95%CI=1.120-4.120), mechanical ventilation (OR=2.737, 95%CI=1.367-5.482), diabetes mellitus (OR=2.435, 95%CI=1.050-5.646), carbapenem use (OR=6.649, 95%CI=2.321-19.048), and β-lactamase inhibitor use (OR=4.146, 95%CI=2.145-8.014). These 8 factors were used to construct a predictive model visualized through a nomogram. The model validation showed a C-index of 0.932 for the training set and 0.929 for the testing set, with a Hosmer-Lemeshow test p-value of 0.47, indicating good calibration. Furthermore, the DCA curve demonstrated good clinical decision-making performance, and the CIC curve confirmed the model's reliable clinical impact. Regression analysis identified ICU stay duration, hypoproteinemia, glucocorticoid use, urinary catheterization, mechanical ventilation, diabetes mellitus, carbapenem use, and β-lactamase inhibitor use as independent risk factors for XDRAB infection. The corresponding predictive model demonstrated high accuracy and stability.

Kesiapan Belajar Siswa SMA N 1 Pinggir Kecamatan Pinggir Riau dalam Memilih Pendidikan Lanjutan

This research itself was motivated by the discovery that one of the students at SMAN 1 Pinggir, Pinggir Riau District was see n daydreaming, which after the author asked and followed up with the students and also the guidance and counseling teacher at the school, it turned out that the problem was regarding the student's learning readiness in determining further education. So this research aims to determine the learning readiness of students at SMA N 1 Pinggir, Pinggir Riau District in choosing further education. This research uses field research with a qualitative descriptive approach. The key informants were students of SMA N 1 Pinggir, Pinggir Bengkalis District, Riau and supporting informants, BK teachers, SMA N 1 Pinggir, Pinggir Bengkalis District, Riau. Data was collected through interviews and observations and analyzed by data reduction, data presentation, and data conclusions. The results of this research are that students have good readiness in choosing further education. Factors that influence students' learning readiness in terms of intelligence, interest, motivation, concentration of attention and also that students have good provisions and decisions regarding their further education, SMA N 1 Pinggir students have the choice in choosing further education. This is a form of learning readiness that has been they have. Schools and guidance and counseling teachers at scho ols provide motivation to students and hold seminars regarding the goals and functions of why they should continue to further education.

Perception of MBA Students Towards Their Career Choice in Kathmandu Valley: Evidence from Structural Equation Modelling

Background: Making a career decision is a crucial moment in any student's life. A good career decision leads to bridge the gap between where you are and where you want to be. Identification of the factors that influence student’s career decision making helps them to achieve their goal. Objective: Therefore, this study looks into MBA student’s perception towards their Career Choice. Method: The explanatory research design was adopted for this study based upon social cognitive theory. The study area of the research is Kathmandu valley where Structural questionnaires were used using KOBO toolbox to collect the data. Using the Stratified sampling methods, data were collected on a sample of 229 students pursuing MBA from different University. Structural Equation Modeling is used to see the MBA students’ perception towards career choice using SPSS and SPSS AMOS software. Finding: Findings reveal that the majority of the students were female, which suggests that lack of guidance, lack of experience, and financial circumstances are the main problems that may be overcome by good supervision as well as practical/experimental exposure to improve students' career choices. Moreover, SEM result indicates that individual background and self-efficacy are significance causal relationship to career choice. Conclusion: The idea of career should be focused on freedom to do job in flexible timing and to get credit for result for idea and result. Factors such as Career advancement, status of the organization i.e. size, status and image are the major indicators for choice of career. Paper Types: Research Paper Keywords: Entrepreneurship, Employment, Career Choice, MBA program JEL Classification: C26, E24, M10, C12

Study of Global Navigation Satellite System Receivers' Accuracy for Unmanned Vehicles.

The development of unmanned ground vehicles and unmanned aerial vehicles requires high-precision navigation due to the autonomous motion and higher traffic intensity. The existing L1 band GNSS receivers are a good and cheap decision for smartphones, vehicle navigation, fleet management systems, etc., but their accuracy is not good enough for many civilian purposes. At the same time, real-time kinematic (RTK) navigation allows for position precision in a sub-centimeter range, but the system cost significantly narrows this navigation to a very limited area of applications, such as geodesy. A practical solution includes the integration of dual-band GNSS receivers and inertial sensors to solve high-precision navigation tasks, but GNSS position accuracy may significantly affect IMU performance due to having a great impact on Kalman filter performance in unmanned vehicles. The estimation of dilution-of-precision (DOP) parameters is essential for the filter performance as the optimality of the estimation in the filter is closely connected to the quality of a priori information about the noise covariance matrix and measurement noise covariance. In this regard, the current paper analyzes the DOP parameters of the latest generation dual-band GNSS receivers and compares the results with the L1 ones. The study was accomplished using two types of antennas-L1/L5 band patch and wideband helix antennas, which were designed and assembled by the authors. In addition, the study is extended with a comparison of GNSS receivers from different generations but sold on the market by one of the world's leading GNSS manufacturers. The analyses of dilution-of-precision (DOP) parameters show that the introduction of dual-band receivers may significantly increase the navigation precision in a sub-meter range, in addition to multi-constellation signal reception. The fast advances in the performance of the integrated CPU in GNSS receivers allow the number of correlations and tracking satellites to be increased from 8-10 to 24-30, which also significantly improves the position accuracy even of L1-band receivers.

YOUTH PEOPLE’S CIVIC AND POLITICAL ENGAGEMENT AT SMAN 1 GIRI, BANYUWANGI REGENCY

This community service activity aims to increase the political and civil literacy of novice voters in preparation for the 2024 Simultaneous Elections in Indonesia. The targets of this community service activity are school students or youth who are at least 17 years old in the year the 2024 Simultaneous Election will be held. Youth were chosen as the main target because they are a group with a large proportion in the 2024 election contestation which will determine the future of democracy. As new voters, they need preparation and a deep understanding of how to participate in the political process effectively to determine the direction and policies of government. For this reason, the Public Administration Department of Universitas Airlangga will partner with the East Java Provincial Education Office which will later provide guidance to the SMAN 1 Giri, Banyuwangi Regency to hold a community service program at the school. Community service activities will involve understanding the political system, democratic processes, political issues, and the importance of active political participation. Activities will be carried out through three main stages: preparation, implementation and evaluation. The preparatory stage involves collecting and compiling relevant political and civic literacy materials. Next, the implementation stage will involve counseling, workshops and group discussions to provide in-depth understanding to novice voters. The evaluation stage will be carried out to measure the effectiveness of the program and obtain feedback from participants. It is hoped that this activity will provide a fundamental contribution in increasing the political and civil literacy of novice voters. With a better understanding of the political system, first-time voters will be able to make good political decisions, participate actively in the political process, and critically evaluate the information they receive.

Good decisions in an imperfect world: a human-focused approach to automated decision-making

ABSTRACT Legal rules are based on an imagined regulatory scene that contains presumptions about the reality a regulation addresses. Regarding automated decision-making (ADM), these include a belief in the ‘good human decision’ that is mirrored in the cautious approach in the GDPR. Yet the ‘good human decision’ defies psychological insight into human weaknesses in decision-making. Instead, it reflects a general unease about algorithmic decisions. Against this background I explore how algorithms become part of human relationships and whether the use of decision systems causes a conflict with human needs, values and the prevailing socio-legal framework. Inspired by the concept of Human-Centered AI, I then discuss how the law may address the apprehension towards decision systems. I outline a human-focused approach to regulating ADM that focuses on improving the practice of decision-making. The interaction between humans and machines is an essential part of the regulation. It must address socio-legal changes caused by decision systems both to integrate them into the existing value system and adapt the latter to changes brought forth by ADM. A human-focused approach thus connects the benefits of technology with human needs and societal values.

Insights into decision‐maker's perceptions of good versus bad decisions in emergency services—A modified Delphi study

AbstractDecision‐making in emergency situations, such as those faced by fire, police, and health service personnel, presents unique challenges due to the high‐stakes and time‐pressured environment. Here we aim to better understand what emergency responders regard as constituting ‘good’ and ‘bad’ decisions in emergency situations. We administered a modified Delphi study, eliciting opinions from decision‐makers across all these sectors towards consensus around the key elements of good and bad decision‐making. Participants were first asked to define what makes a ‘good’ and a ‘bad’ decision, and subsequently to identify the top five most important elements of each. While consensus was not found, important insights were identified that can assist improve the standard of decision making at all levels of emergency response and management. We observed (i) a lack of a common understanding between participants of what a decision is, and how a decision differs from pre‐decision and postdecision components; (ii) responses varied according to whether a free text description or the identification of separate elements was requested; (iii) respondents valued ‘goodness’ across different and at times unrelated components a scaled measure of decision quality as opposed to a binary evaluation of ‘rightness’; and (iv) pre‐ and postdecision elements are considered more important than the decision itself when determining the quality of a decision. To address the issues highlighted by the study we recommend improvements in training, and improvements to organization doctrine related to decision making, risk tolerance, assessment of decision quality and development of intent‐based or principle‐based operational guidance. Ultimately, incident controllers from all services must remain cognizant that they will face considerable scrutiny if they cannot explain how they arrived at the decision they made.

Diverse ideas about the value of Official Statistics systems

This paper offers an initial overview of different ideas about the value of Official Statistics systems. For the purposes of this paper, an Official Statistics ‘system’ is taken to cover the set of organisations (within a country) that are involved in the production, communication, use and governance of Official Statistics. The paper seeks to analyse the stated ambitions for, or the claims about, these systems that are contained within a sample of formal corporate documents mainly produced by different national statistical organisations. These sources offer a range of diverse ideas about different types of value that societies may secure from having well-functioning Official Statistics systems. There are some foundational ideas of value that are often referenced – including the ambition that good Official Statistics will enable good (or better) decision-making by governments and others, which in turn will generate positive outcomes for society. The analysis also flags a range of ambitions for wider outcomes that might be secured by well-functioning Official Statistics systems – for example, outcomes for citizens (enabling them to be better informed, represented and empowered), outcomes for governments (contributing to a better more effective governmental process) or outcomes in terms of having better informed public debate. Collectively these concepts could inform any wider framework developed to communicate the potential value of Official Statistics systems, complementing the more specific expressions of value that might emerge directly from the views and judgements of users.

In Spiderman we trust: The influence of familiar media characters on the decision-making of primary school children

Children are increasingly active consumers in the media world and are thus confronted with a wide range of information. Making good decisions in such an environment is a major challenge. Weighting valid information in decision-making is an important skill that children must learn and apply. Yet, how do children weight information and which weights do they use? We developed a measuring instrument for children's weighting of advices by cue validity – the so-called Space Treasure Hunt. It is an easy to understand, child-friendly decision game. By anchoring it in the reality of children's media lives, we are able to assess the influence of familiarity and affect on children's decision making. During a treasure hunt in game situated in outer space, children are confronted with various characters who provide contradictory advice regarding where to find treasures. One of the advice-givers was an expert (valid cue), whereas the other advice-giver varied in terms of its media familiarity and affect. In our study (N = 372), we found that media familiar characters had a strong influence on children's decision-making. Media idols showed an assimilation effect, meaning that children followed the expert's advice the least often when it contradicted their media idol. Conversely, media familiar but less liked characters showed a contrast effect, meaning that children followed the expert's advice most often when it contradicted the media familiar, less liked character. Moreover, we found differences between children in terms of a three-way split: One third of the children, respectively, systematically followed the expert's advice, the media idol, or made their decisions unsystematically. We discuss how our results indicate the use of different weights in children's decision making.

A prediction model for nonresponsive outcomes in critically ill patients with acute respiratory distress syndrome undergoing prone position ventilation: A retrospective cohort study

ObjectiveThis study aimed to develop a reliable and effective nomogram model to identify high-risk populations with non-response to prone position ventilation (PPV) in acute respiratory distress syndrome (ARDS) patients. MethodsThis retrospective cohort study included 175 patients with ARDS undergoing PPV. An improvement of ≥ 20 mmHg in the PaO2/FiO2 after the first PPV was defined as a 'response'. For the construction of the model, all patients were randomly assigned to the train and validation cohort according to 2:1. Multivariate logistic regression was useed to develop the nomogram. The area under the receiver operating characteristic curve (AUC), decision curve and calibration curve were assessed to evaluate the efficiency, clinical utility and calibration of the model. ResultsThe overall rate of non-response to PPV in ARDS patients was approximately 32.6 %. In the training cohort and validation cohort, the rate are 29.9 % and 34.5 % respectively. Murray score ≥ 2.5 (OR: 4.29), procalcitonin (PCT) ≥ 2 ng/mL (OR: 2.52), N-terminal pro-B-type natriuretic peptide (Nt-proBNP) ≥ 2000 pg/ml (OR: 2.44), and hemoglobin ≤ 90 g/L (OR: 2.39) were independently associated with the rate of non-response to PPV and combined in prediction model. The model demonstrated good predictive value with AUC of 0.817 and 0.828 in the train and validation cohort. Calibration curve showed good calibration and decision curve analysis indicated favorable clinical utility. ConclusionsThis study constructed a risk prediction model for non-response to PPV, which demonstrated good predictive value and clinical utility. Implications for clinical practiceEarly identification of prone position response in ARDS is essential for timely alternative treatments, improving patient prognosis and healthcare efficiency. The predictive model included representative indicators of patients with ARDS, encompassing parameters such as the acute lung injury (Murray score), cardiac function (Nt-proBNP), infectious status (PCT), and hemoglobin levels.

Evaluation of a Digital Decision Aid for Knee Replacement Surgery.

We studied whether an individualized digital decision aid can improve decision-making quality for or against knee arthroplasty. An app-based decision aid (EKIT tool) was developed and studied in a stepped-wedge, cluster-randomized trial. Consecutive patients with knee osteoarthritis who were candidates for knee replacement were included in 10 centers in Germany. All subjects were asked via app on a tablet about their symptoms, prior treatments, and preferences and goals for treatment. For the subjects in the intervention group, the EKIT tool was used in the doctor-patient discussion to visualize the individual disease burden and degree of fulfillment of the indication criteria, and structured information on knee arthroplasty was provided. In the control group, the discussion was conducted without the EKIT tool in accordance with the local standard in each participating center. The primary endpoint was the quality of the patient's decision on the basis of the discussion of indications, as measured with the Hip and Knee Quality Decision Instrument (HK-DQI). (Registration number: ClinicalTrials.gov:NCT04837053). 1092 patients were included, and data from 1055 patients were analyzed (616 in the intervention group and 439 in the control group). Good decision quality, as rated by the HKDQI, was achieved by 86.0% of patients in the intervention group and 67.4% of patients in the control group (relative risk, 1.24; 95 % confidence interval, [1.15; 1.33]). A digital decision aid significantly improved the quality of decision-making for or against knee replacement surgery. The widespread use of this instrument may have an even larger effect, as this trial was conducted mainly in hospitals with high case numbers.