Increased interest in health care consumerism has created an environment conducive to growth in the use of decision aids (DAs) to support patient decision making. The authors review the research literature published within the past 5 years that assesses the effects of DAs in the areas of screening and treatment. Multiple measures are used to evaluate the effectiveness of DAs, with mixed evidence of impacts. To date, most evidence from screening studies suggests that DAs are effective in increasing knowledge and are acceptable to patients, but patient uptake of screening has been mixed. Among treatment studies, there is some, but limited, evidence showing impact of DAs on immediate and long-term decisional conflict, patient satisfaction, and quality of life. Few studies provide assessment of impact on health outcomes, quality of care, utilization, or costs, all areas likely to be of growing interest to private purchasers, insurers, and public programs.
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http://dx.doi.org/10.1177/1077558708324234 | DOI Listing |
PLoS One
January 2025
Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan.
Petroleum hydrocarbon pollution causes significant damage to soil, so accurate prediction and early intervention are crucial for sustainable soil management. However, traditional soil analysis methods often rely on statistical methods, which means they always rely on specific assumptions and are sensitive to outliers. Existing machine learning based methods convert features containing spatial information into one-dimensional vectors, resulting in the loss of some spatial features of the data.
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February 2025
Villanova University, Villanova, Pennsylvania, USA.
We study the problem of testing multiple secondary endpoints conditional on a primary endpoint being significant in a two-stage group sequential procedure, focusing on two secondary endpoints. This extends our previous work with one secondary endpoint. The test for the secondary null hypotheses is a closed procedure.
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February 2025
Clinical Epidemiology Unit, Complexo Hospitalario de Santiago de Compostela, Galicia, Spain.
Correlated clinical measurements are routinely interpreted via comparisons with univariate reference intervals examined side by side. Multivariate reference regions (MVRs), i.e.
View Article and Find Full Text PDFStat Med
February 2025
MRC Clinical Trials Unit at UCL, University College London, London, UK.
Introduction: In clinical trials, a treatment policy strategy is often used to handle treatment nonadherence. However, estimation in this context is complicated when data are missing after treatment deviation. Reference-based multiple imputation has been developed for the analysis of a longitudinal continuous outcome in this setting.
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February 2025
Department of Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.
Clustered data are common in practice. Clustering arises when subjects are measured repeatedly, or subjects are nested in groups (e.g.
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