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期刊名:Medical decision making

缩写:MED DECIS MAKING

ISSN:0272-989X

e-ISSN:1552-681X

IF/分区:2.0/Q3

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共收录本刊相关文章索引1589条
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Amin Mehmedović,Teodora Milojević,Iva Binić et al. Amin Mehmedović et al.
Purpose: To examine the prevalence and patterns of mental health patients' consideration and engagement in self-initiated psychiatric medication discontinuation, identify their motivations, and assess associated factors i...
Madhuri Ramasubramanian,Brian J Zikmund-Fisher Madhuri Ramasubramanian
Introduction: Although medical risk calculators are increasingly being used for risk prediction in various contexts, prior research in this area suggests that people may be averse to recommendations from these tools. More...
Peter H Schwartz,Thomas F Imperiale,Susan M Perkins et al. Peter H Schwartz et al.
PurposeTo measure the impact of a personalized message about current risk of having advanced colorectal neoplasia (ACN; colorectal cancer [CRC] or advanced precancerous polyp) on informed concordance and CRC screening decision-making outcom...
Zhongyu Lang,Arthur E Attema,Stefan A Lipman Zhongyu Lang
Background: The EQ-5D-Y-3L is a widely used instrument for valuing health states in pediatric populations. Previous studies have shown that composite time tradeoff (cTTO) utilities tend to be higher when adults value heal...
Mingye Zhao,Taihang Shao,Hanqiao Shao et al. Mingye Zhao et al.
Objectives: To systematically evaluate how survival estimates from network meta-analyses (NMA) models affect oncology cost-effectiveness analysis (CEA) results, particularly under different proportional hazards (PH) assum...
Alexander Hernandez-Tirado,Renning Zheng,Michael Luu et al. Alexander Hernandez-Tirado et al.
Background: Physicians often fail to communicate important details about key risks and benefits of treatment in prostate cancer consultations, an information gap that may inhibit effective patient participation in care de...
Iain R Timmins,Fatemeh Torabi,Christopher H Jackson et al. Iain R Timmins et al.
BackgroundAssessment of long-term survival for health technology assessment often necessitates extrapolation beyond the duration of a clinical trial. Flexible Bayesian survival models that incorporate longer-term data sources, including reg...
Rivka Koedooder,Xu Shan Gao,Sam Schoenmakers et al. Rivka Koedooder et al.
Background: The vaginal microbiota test predicts the success of in vitro fertilization (IVF), but with no therapy available to improve a low profile, couples must decide whether to proceed or postpone treatment. We aim to...
Jingqi Zhu,Matthew Hemstock,Zhaojing Che et al. Jingqi Zhu et al.
BackgroundSurvival extrapolation is crucial in estimating the lifetime survival benefit of a treatment for health technology assessment (HTA). Conventional extrapolation methods, which assume that the long-term treatment effect (hazard rati...
Wen Ye,Xuemei Ding,Jing Li et al. Wen Ye et al.
ObjectivesTo develop and validate a microsimulation model to estimate the health outcomes and costs of chronic kidney disease (CKD) in type 2 diabetes (T2D) to inform health policies and reduce the burden of CKD.MethodsWe developed a compre...