What Is a "Good" Treatment Decision? Decisional Control, Knowledge, Treatment Decision Making, and Quality of Life in Men with Clinically Localized Prostate Cancer
Conclusions. Although men who are actively involved in decision making and more knowledgeable may make more informed decisions, they could benefit from decisional support (e.g., decision-making aids, emotional support from providers, strategies for reducing emotional distress) to make the process easier. Men who were more knowledgeable about prostate cancer and treatment side effects at the time that they made their treatment decision may have appraised their QOL as higher because they had realistic expectations about side effects. (Source: Medical Decision Making)
Source: Medical Decision Making - June 30, 2016 Category: Health Management Authors: Orom, H., Biddle, C., Underwood, W., Nelson, C. J., Homish, D. L. Tags: Original Articles Source Type: research
Factors Affecting Physicians Intentions to Communicate Personalized Prognostic Information to Cancer Patients at the End of Life: An Experimental Vignette Study
Conclusions. Provision of personalized prognostic information increases physicians’ prognostic communication intentions to a hypothetical end-stage cancer patient, and situational and physician characteristics moderate this effect. More research is needed to confirm these findings and elucidate the determinants of prognostic communication at the end of life. (Source: Medical Decision Making)
Source: Medical Decision Making - June 30, 2016 Category: Health Management Authors: Han, P. K. J., Dieckmann, N. F., Holt, C., Gutheil, C., Peters, E. Tags: Original Articles Source Type: research
Dissemination of Clinical Practice Guidelines: A Content Analysis of Patient Versions
Conclusions. This review describes the current landscape of patient versions of CPGs and suggests that these versions may not address the needs of their targeted audience. Research is needed about how to personalize information, provide information about factors contributing to the recommendations, and provide access. (Source: Medical Decision Making)
Source: Medical Decision Making - June 30, 2016 Category: Health Management Authors: Santesso, N., Morgano, G. P., Jack, S. M., Haynes, R. B., Hill, S., Treweek, S., Schünemann, H. J., DECIDE Workpackage 3 Group, Callaghan, Graham, Harbour, Kunnamo, Liira, Loudon, McFarlane, Ritchie, Service, Thornton Tags: Original Articles Source Type: research
Natural Frequencies Do Not Foster Public Understanding of Medical Test Results
Major organizations recommend presenting medical test results in terms of natural frequencies, rather than single-event probabilities. The evidence, however, is that natural frequency presentations benefit at most one-fifth of samples of health service users and patients. Only one study reported a substantial benefit of these presentations. Here, we replicate that study, testing online survey respondents. Study 1 attributed the previously reported benefit of natural frequencies to a scoring artifact. Study 2 showed that natural frequencies may elicit evaluations that conflict with the normatively correct one, potentially h...
Source: Medical Decision Making - June 30, 2016 Category: Health Management Authors: Pighin, S., Gonzalez, M., Savadori, L., Girotto, V. Tags: Brief Report Source Type: research
Could Physician Use of Realistic Previews Increase Treatment Adherence and Patient Satisfaction?
(Source: Medical Decision Making)
Source: Medical Decision Making - June 30, 2016 Category: Health Management Authors: Focella, E. S., Zikmund-Fisher, B. J., Shaffer, V. A. Tags: Editorial Source Type: research
The Role of Decision Models in Health Care Policy: A Case Study
Conclusions. Decision makers involved in the CTC decision believed in the adequacy of models to inform coverage decisions. The model played a role in focusing the CTC coverage policy discussion. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: John-Baptiste, A., Schapira, M. M., Cravens, C., Chambers, J. D., Neumann, P. J., Siegel, J., Lawrence, W. Tags: Policy Rounds Source Type: research
Calibrating Parameters for Microsimulation Disease Models: A Review and Comparison of Different Goodness-of-Fit Criteria
Conclusions. The likelihood-based deviance criteria lead to accurate estimation of parameters under various circumstances. These criteria are recommended for calibration in microsimulation disease models in contrast with other commonly used criteria. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: van der Steen, A., van Rosmalen, J., Kroep, S., van Hees, F., Steyerberg, E. W., de Koning, H. J., van Ballegooijen, M., Lansdorp-Vogelaar, I. Tags: Original Articles Source Type: research
Development and Evaluation of an Approach to Using Value of Information Analyses for Real-Time Prioritization Decisions Within SWOG, a Large Cancer Clinical Trials Cooperative Group
Conclusions. We developed an efficient and customized process to calculate the expected VOI of cancer clinical trials that is feasible for use in decision making and acceptable to investigators. Prospective use and evaluation of this approach is currently underway within SWOG. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: Bennette, C. S., Veenstra, D. L., Basu, A., Baker, L. H., Ramsey, S. D., Carlson, J. J. Tags: Original Articles Source Type: research
Structural Uncertainty of Markov Models for Advanced Breast Cancer: A Simulation Study of Lapatinib
Conclusions. Our study shows that modeling ABC with different Markov model structures yielded a wide range of cost-effectiveness results, suggesting the need to investigate structural uncertainty in health economic evaluation. When applied in the context of HER2-positive ABC treatment, the combination therapy with lapatinib is not cost-effective, regardless of which model was used and whether uncertainties were accounted for. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: Le, Q. A. Tags: Original Articles Source Type: research
Applying the Longitudinal Model from Item Response Theory to Assess Health-Related Quality of Life in the PRODIGE 4/ACCORD 11 Randomized Trial
Discussion. The use of LMM to study the HRQoL score does not seem appropriate. It is an easy-to-use model, but the basic statistical assumptions do not check. Our IRT model may be more complex but shows the same qualities and gives similar results. It has the additional advantage of being more precise and suitable because of its direct use of raw data. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: Barbieri, A., Anota, A., Conroy, T., Gourgou-Bourgade, S., Juzyna, B., Bonnetain, F., Lavergne, C., Bascoul-Mollevi, C. Tags: Original Articles Source Type: research
Validation of Models Used to Inform Colorectal Cancer Screening Guidelines: Accuracy and Implications
Conclusion. Model accuracy can only be established through external validation. Analyses such as these are therefore essential for any decision model. Results supported the assumptions that the average time from adenoma initiation to development of preclinical cancer is long (up to 25 years), and mean sojourn time is close to 4 years, suggesting the window for early detection and intervention by screening is relatively long. Variation in dwell time remains uncertain and could have important clinical and policy implications. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: Rutter, C. M., Knudsen, A. B., Marsh, T. L., Doria-Rose, V. P., Johnson, E., Pabiniak, C., Kuntz, K. M., van Ballegooijen, M., Zauber, A. G., Lansdorp-Vogelaar, I. Tags: Original Articles Source Type: research
Comparative Effectiveness of Biomarkers to Target Cancer Treatment: Modeling Implications for Survival and Costs
Conclusions. The Diagnostic Biomarker module of CANTRANce is a novel public resource that can provide timely insights into the expected mortality impact of testing for diagnostic biomarkers. The model projections should be useful for understanding the long-term potential of emerging diagnostic biomarkers. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: Birnbaum, J. K., Ademuyiwa, F. O., Carlson, J. J., Mallinger, L., Mason, M. W., Etzioni, R. Tags: Original Articles Source Type: research
Using Active Learning for Speeding up Calibration in Simulation Models
Conclusion. Machine learning methods hold potential in guiding model developers in the selection of more promising parameter combinations and hence speeding up the calibration process. Applying our machine learning algorithm to one model shows that evaluating only 1.49% of all parameter combinations would be sufficient for the calibration. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: Cevik, M., Ergun, M. A., Stout, N. K., Trentham-Dietz, A., Craven, M., Alagoz, O. Tags: Original Articles Source Type: research
A Framework for Prioritizing Research Investments in Precision Medicine
Conclusion. We believe that the framework and the methods presented can provide decision makers with more decision-relevant tools to explore the value of PM. There is a growing recognition that data on adoption is important to decision makers. More research is needed to develop prediction models for potential diffusion of PM technologies. (Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Authors: Basu, A., Carlson, J. J., Veenstra, D. L. Tags: Original Articles Source Type: research
Author Index for Abstracts
(Source: Medical Decision Making)
Source: Medical Decision Making - May 24, 2016 Category: Health Management Tags: Web-Only Abstracts Source Type: research
