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Landan Zhang; Sylwia Bujkiewicz; Dan Jackson – Research Synthesis Methods, 2024
Simulated treatment comparison (STC) is an established method for performing population adjustment for the indirect comparison of two treatments, where individual patient data (IPD) are available for one trial but only aggregate level information is available for the other. The most commonly used method is what we call 'standard STC'. Here we fit…
Descriptors: Simulation, Patients, Outcomes of Treatment, Comparative Analysis
Cheng, David; Tchetgen, Eric Tchetgen; Signorovitch, James – Research Synthesis Methods, 2023
Matching-adjusted indirect comparison (MAIC) enables indirect comparisons of interventions across separate studies when individual patient-level data (IPD) are available for only one study. Due to its similarity with propensity score weighting, it has been speculated that MAIC can be combined with outcome regression models in the spirit of…
Descriptors: Comparative Analysis, Robustness (Statistics), Intervention, Patients
Shijie Ren; Sa Ren; Nicky J. Welton; Mark Strong – Research Synthesis Methods, 2024
Population-adjusted indirect comparisons, developed in the 2010s, enable comparisons between two treatments in different studies by balancing patient characteristics in the case where individual patient-level data (IPD) are available for only one study. Health technology assessment (HTA) bodies increasingly rely on these methods to inform funding…
Descriptors: Medical Research, Outcomes of Treatment, Standards, Safety
Remiro-Azócar, Antonio; Heath, Anna; Baio, Gianluca – Research Synthesis Methods, 2022
Population adjustment methods such as matching-adjusted indirect comparison (MAIC) are increasingly used to compare marginal treatment effects when there are cross-trial differences in effect modifiers and limited patient-level data. MAIC is based on propensity score weighting, which is sensitive to poor covariate overlap and cannot extrapolate…
Descriptors: Patients, Medical Research, Comparative Analysis, Outcomes of Treatment
Ayed, Ahmad; Malak, Malakeh Z.; Alamer, Rsmieh M.; Batran, Ahmad; Salameh, Basma; Fashafsheh, Imad – Interactive Learning Environments, 2023
It became necessary to integrate alternative teaching methods having excellent results in the nursing curriculum such as high-fidelity human patient simulation. High fidelity simulation improves nursing students' thinking, and emotional and decision-making capabilities. The pretest-posttest control group design was conducted to examine the effect…
Descriptors: Nursing Education, Teaching Methods, Comparative Analysis, Decision Making
Proctor, Tanja; Zimmermann, Samuel; Seide, Svenja; Kieser, Meinhard – Research Synthesis Methods, 2022
During drug development, a biomarker is sometimes identified as separating a patient population into those with more and those with less benefit from evaluated treatments. Consequently, later studies might be targeted, while earlier ones are performed in mixed patient populations. This poses a challenge in evidence synthesis, especially if only…
Descriptors: Comparative Analysis, Meta Analysis, Patients, Medical Research
Garbayo, Luciana S.; Harris, David M.; Fiore, Stephen M.; Robinson, Matthew; Kibble, Jonathan D. – Advances in Physiology Education, 2023
The purpose of this study was to 1) help novice students scaffold problem-solving and engage safely in the deliberate practice of diagnostic reasoning and medical decision-making in real time; 2) assess how accurately students gather and apply data in medical reasoning and treatment during high-fidelity patient simulations (HFPSs); 3) identify…
Descriptors: Decision Making, Self Esteem, Problem Solving, Scaffolding (Teaching Technique)
Kontopantelis, Evangelos – Research Synthesis Methods, 2018
Background: Individual patient data (IPD) meta-analysis allows for the exploration of heterogeneity and can identify subgroups that most benefit from an intervention (or exposure), much more successfully than meta-analysis of aggregate data. One-stage or two-stage IPD meta-analysis is possible, with the former using mixed-effects regression models…
Descriptors: Patients, Medical Research, Meta Analysis, Intervention
Loomis, Ann Louise – ProQuest LLC, 2018
Debriefing offers an opportunity to ensure that students can master critical components of nursing that they might not otherwise learn and to remove epistemological roadblocks to knowledge acquisition. Within this study, Debriefing for Meaningful Learning (DML), a theoretically-derived, evidence based and structured debriefing method, was used to…
Descriptors: Retention (Psychology), Instructional Effectiveness, Nursing Students, Pretests Posttests
Leahy, Joy; O'Leary, Aisling; Afdhal, Nezam; Gray, Emma; Milligan, Scott; Wehmeyer, Malte H.; Walsh, Cathal – Research Synthesis Methods, 2018
The use of individual patient data (IPD) in network meta-analysis (NMA) is becoming increasingly popular. However, as most studies do not report IPD, most NMAs are performed using aggregate data for at least some, if not all, of the studies. We investigate the benefits of including varying proportions of IPD studies in an NMA. Several models have…
Descriptors: Patients, Medical Research, Meta Analysis, Network Analysis
Yamaguchi, Yusuke; Sakamoto, Wataru; Goto, Masashi; Staessen, Jan A.; Wang, Jiguang; Gueyffier, Francois; Riley, Richard D. – Research Synthesis Methods, 2014
When some trials provide individual patient data (IPD) and the others provide only aggregate data (AD), meta-analysis methods for combining IPD and AD are required. We propose a method that reconstructs the missing IPD for AD trials by a Bayesian sampling procedure and then applies an IPD meta-analysis model to the mixture of simulated IPD and…
Descriptors: Meta Analysis, Patients, Bayesian Statistics, Comparative Analysis
Integrating Simulation Scenarios and Clinical Practices Guided by Concepts of Translational Medicine
Yang, Jing; Huang, Si-min; Li, Ze-jian; Feng, Lie; Lu, Chun-ting – International Journal of Higher Education, 2018
Purpose: To develop a novel method for closely and effectively integrating simulation scenarios and clinical practices to improve clinical skills training in the concepts of translational medicine. Methods: Forty-two and 38 third-year medical students in the classes of 2010 and 2009 at Jinan University were selected as an observation group and a…
Descriptors: Simulation, Vignettes, Medical Students, Statistical Analysis
Chen, Hui; Kelly, Michelle; Hayes, Carolyn; van Reyk, David; Herok, George – Advances in Physiology Education, 2016
Teaching of pathophysiology concepts is a core feature in health professional programs, but it can be challenging in undergraduate medical/biomedical science education, which is often highly theoretical when delivered by lectures and pen-and-paper tutorials. Authentic case studies allow students to apply their theoretical knowledge but still…
Descriptors: Experiential Learning, Physiology, Pathology, Simulation
Zigman, Daniel; Young, Meredith; Chalk, Colin – Academic Psychiatry, 2013
Objective: This article examines the benefit and feasibility of introducing a new, simulation-based learning intervention for junior psychiatry residents. Method: Junior psychiatry residents were invited to participate in a new simulation-based learning intervention focusing on agitated patients. Questionnaires were used to explore the success of…
Descriptors: Intervention, Student Attitudes, Teaching Methods, Feedback (Response)
DiGiacomo, Pat – ProQuest LLC, 2017
A recurring theme in the literature is that simulation is a positive teaching strategy when compared to other methods of instruction and produces positive student outcomes (Jefferies, 2016). Simulation provides educators a way to reproduce a clinical teaching experience in a safe, supportive learning environment. The purpose of this quantitative…
Descriptors: Teaching Methods, Undergraduate Students, Nursing Education, Case Studies