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Medical Decision Making: An International Journal of the Society for Medical Decision Making

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https://read.qxmd.com/read/31117875/additive-multicriteria-decision-analysis-models-misleading-aids-for-life-critical-shared-decision-making
#1
Edouard Kujawski, Evangelos Triantaphyllou, Juri Yanase
BACKGROUND: There is growing interest in multicriteria decision analysis (MCDA) for shared decision making (SDM). A distinguishing feature is that a preferred treatment should extend years of life and/or improve health-related quality of life (HRQL). Additive MCDA models are inadequate for the task. A plethora of MCDA models exist, each claiming that it can correctly solve real-world problems. However, most were developed in nonhealth fields and rely on additive models. This makes the problem of choosing an MCDA model as an aid for SDM a challenging and urgent one...
May 22, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/31104590/decision-curves-and-relative-utility-curves
#2
Stuart G Baker
No abstract text is available yet for this article.
May 20, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/31104561/the-importance-of-uncertainty-and-opt-in-v-opt-out-best-practices-for-decision-curve-analysis
#3
Kathleen F Kerr, Tracey L Marsh, Holly Janes
No abstract text is available yet for this article.
May 20, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/31092111/exploring-the-impact-of-adding-a-respiratory-dimension-to-the-eq-5d-5l
#4
Martine Hoogendoorn, Mark Oppe, Melinde Boland, Lucas Goossens, Elly Stolk, Maureen Rutten-van Mölken
OBJECTIVES: To evaluate the impact of adding a respiratory dimension (a bolt-on dimension) to the EQ-5D-5L health state valuations. METHODS: Based on extensive regression and principal component analyses, 2 respiratory bolt-on candidates were formulated: R1, limitations in physical activities due to shortness of breath, and R2, breathing problems. Valuation interviews for the selected bolt-ons were performed with a representative sample from the Dutch general public using the standardized interview protocol and software of the EuroQol group...
May 16, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30982403/latent-class-models-reveal-poor-agreement-between-discrete-choice-and-time-tradeoff-preferences
#5
Eleanor M Pullenayegum, A Simon Pickard, Feng Xie
BACKGROUND: In health economics, there has been interest in using discrete-choice experiments (DCEs) to derive preferences for health states in lieu of previously established approaches like time tradeoff (TTO). We examined whether preferences elicited through DCEs are associated and agree with preferences elicited through TTO tasks. METHODS: We used data from 1073 respondents to the Canadian EQ-5D-5L valuation study. Multivariate mixed-effects models specified a common likelihood for the TTO and discrete-choice data, with separate but correlated random effects for the TTO and DCE data, for each of the 5 EQ-5D-5L dimensions...
April 13, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30957659/duration-of-treatment-effect-should-be-considered-in-the-design-and-interpretation-of-clinical-trials-results-of-a-discrete-choice-experiment
#6
Bethan Copsey, James Buchanan, Raymond Fitzpatrick, Sarah E Lamb, Susan J Dutton, Jonathan A Cook
OBJECTIVE: This study examined whether duration of treatment effect should be considered in a benefit-risk assessment using a case study of osteoarthritis medications. STUDY DESIGN AND SETTING: A discrete choice experiment was completed by 300 residents of the United Kingdom with hip and/or knee osteoarthritis. In 16 choice tasks, participants selected their preferred option from 2 medications. Medications were described in terms of effect on pain, stiffness, and function; duration of treatment effect; and risk of heart attack and stomach ulcer bleeding...
April 8, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30920897/evaluation-of-markov-models-with-discontinuities
#7
Jorge Pérez-Martín, Iñigo Bermejo, Francisco J Díez
BACKGROUND: Several methods, such as the half-cycle correction and the life-table method, were developed to attenuate the error introduced in Markov models by the discretization of time. Elbasha and Chhatwal have proposed alternative "corrections" based on numerical integration techniques. They present an example whose results suggest that the trapezoidal rule, which is equivalent to the half-cycle correction, is not as accurate as Simpson's 1/3 and 3/8 rules. However, they did not take into consideration the impact of discontinuities...
March 28, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30902030/toward-a-centralized-systematic-approach-to-the-identification-appraisal-and-use-of-health-state-utility-values-for-reimbursement-decision-making-introducing-the-health-utility-book-hub
#8
Feng Xie, Michael Zoratti, Kelvin Chan, Don Husereau, Murray Krahn, Oren Levine, Tammy Clifford, Holger Schunemann, Gordon Guyatt
Cost-utility analysis (CUA) is a widely recommended form of health economic evaluation worldwide. The outcome measure in CUA is quality-adjusted life-years (QALYs), which are calculated using health state utility values (HSUVs) and corresponding life-years. Therefore, HSUVs play a significant role in determining cost-effectiveness. Formal adoption and endorsement of CUAs by reimbursement authorities motivates methodological advancement in HSUV measurement and application. A large body of evidence exploring various methods in measuring HSUVs has accumulated, imposing challenges for investigators in identifying and applying HSUVs to CUAs...
March 22, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30896330/a-behavioral-confirmation-and-reduction-of-the-natural-versus-synthetic-drug-bias
#9
Brian P Meier, Amanda J Dillard, Eric Osorio, Courtney M Lappas
Research reveals a biased preference for natural v. synthetic drugs; however, this research is based on self-report and has not examined ways to reduce the bias. We examined these issues in 5 studies involving 1125 participants. In a pilot study ( N = 110), participants rated the term natural to be more positive than the term synthetic, which reveals a default natural-is-better belief. In studies 1 ( N = 109) and 2 ( N = 100), after a supposed personality study, participants were offered a thank you "gift" of a natural or synthetic pain reliever...
March 21, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30873906/combining-multiple-treatment-comparisons-with-personalized-patient-preferences-a-randomized-trial-of-an-interactive-platform-for-statin-treatment-selection
#10
Gareth Hopkin, Anson Au, Verena Jane Collier, John S Yudkin, Sanjay Basu, Huseyin Naci
BACKGROUND: Patients and clinicians are often required to make tradeoffs between the relative benefits and harms of multiple treatment options. Combining network meta-analysis results with user preferences can be useful when choosing among several treatment alternatives. OBJECTIVE: Using cholesterol-lowering statin drugs as a case study, we aimed to determine whether an interactive web-based platform that combines network meta-analysis findings with patient preferences had an effect on the decision-making process in a general population sample...
March 15, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30845893/using-the-short-graph-literacy-scale-to-predict-precursors-of-health-behavior-change
#11
Yasmina Okan, Eva Janssen, Mirta Galesic, Erika A Waters
BACKGROUND: Visual displays can facilitate risk communication and promote better health choices. Their effectiveness in improving risk comprehension is influenced by graph literacy. However, the construct of graph literacy is still insufficiently understood, partially because existing objective measures of graph literacy are either too difficult or too long. OBJECTIVES: We constructed a new 4-item Short Graph Literacy (SGL) scale and examined how SGL scores relate to key cognitive, affective, and conative precursors of health behavior change described in common health behavior theories...
March 8, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30834817/efficacy-of-a-preference-based-decision-tool-on-treatment-decisions-for-a-first-time-anterior-shoulder-dislocation-a-randomized-controlled-trial-of-at-risk-patients
#12
Carolyn A Hutyra, Stephen Smiley, Dean C Taylor, Lori A Orlando, Richard C Mather
BACKGROUND: First-time anterior shoulder dislocations (FTASD) provide an opportunity to examine the value of integrating stated-preference data with decision modeling to differentiate between patients whose preferred management strategy involves operative or nonoperative treatment. The objective of this study was to evaluate the efficacy of a FTASD decision tool intervention with individual preference measurement compared with a text-based control in a randomized controlled trial. METHODS: Two hundred respondents between 18 and 35 years of age at risk for experiencing an FTASD were enrolled from the orthopedic clinics and randomized to receive either an interactive decision tool intervention capable of eliciting patient preferences for treatment of an FTASD or a text-based control on shoulder dislocations and treatments...
March 5, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30834808/predicting-difference-in-mean-survival-time-from-reported-hazard-ratios-for-cancer-patients
#13
Eeva-Liisa Røssell Johansen, Mette Lise Lousdal, Mette Vinther Skriver, Michael Væth, Ivar Sønbø Kristiansen, Henrik Støvring
BACKGROUND: Gain in mean survival time from new cancer treatments is a core component of cost-effectiveness analyses frequently used by payers for reimbursement decisions. Due to limited follow-up time, clinical trials rarely report this measure, whereas they often report hazard ratios comparing treatment groups. AIM: We aimed to explore the empirical relationship between gain in mean survival time and the hazard ratio for cancer patients. METHODS: We included all patients in Norway diagnosed from 1965 through 2004 with late-stage cancer at the point of diagnosis and with one of the following cancers: stomach, colon, rectal, pancreas, lung and trachea, kidney excluding renal pelvis, and metastasized breast and prostate...
March 5, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30819048/a-probabilistic-model-to-support-radiologists-classification-decisions-in-mammography-practice
#14
Jiaming Zeng, Francisco Gimenez, Elizabeth S Burnside, Daniel L Rubin, Ross Shachter
We developed a probabilistic model to support the classification decisions made by radiologists in mammography practice. Using the feature observations and Breast Imaging Reporting and Data System (BI-RADS) classifications from radiologists examining diagnostic and screening mammograms, we modeled their decisions to understand their judgments. Our model could help improve the decisions made by radiologists using their own feature observations and classifications while maintaining their observed sensitivities...
February 28, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30819038/estimating-long-term-survival-for-patients-with-relapsed-or-refractory-large-b-cell-lymphoma-treated-with-chimeric-antigen-receptor-therapy-a-comparison-of-standard-and-mixture-cure-models
#15
Aasthaa Bansal, Sean D Sullivan, Vincent W Lin, Anna G Purdum, Lynn Navale, Paul Cheng, Scott D Ramsey
Patients treated with anti-CD19 chimeric antigen receptor (CAR) T-cell therapies have shown either sustained remission or rapid progression. Traditional survival modeling may underestimate outcomes in these situations, by assuming the same mortality rate for all patients. To illustrate this issue, we compare standard parametric models to mixture cure models for estimating long-term overall survival in patients with relapsed or refractory large B-cell lymphoma treated with axicabtagene ciloleucel (axi-cel). Compared to standard models without cure proportions, mixture cure models have similar fit, but substantially different extrapolated survival...
February 28, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30819037/a-systematic-review-of-the-literature-demonstrates-some-errors-in-the-use-of-decision-curve-analysis-but-generally-correct-interpretation-of-findings
#16
Paolo Capogrosso, Andrew J Vickers
BACKGROUND: Decision curve analysis (DCA) is a widely used methodology in clinical research studies. PURPOSE: We performed a literature review to identify common errors in the application of DCA and provide practical suggestions for appropriate use of DCA. DATA SOURCES: We first conducted an informal literature review and identified 6 errors found in some DCAs. We then used Google Scholar to conduct a systematic review of studies applying DCA to evaluate a predictive model, marker, or test...
February 28, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30819034/evaluation-of-intervention-impact-on-health-inequality-for-resource-allocation
#17
Susan Griffin, James Love-Koh, Becky Pennington, Lesley Owen
INTRODUCTION: We describe a simplified distributional cost-effectiveness analysis based on aggregate data to estimate the health inequality impact of public health interventions. METHODS: We extracted data on costs, health outcomes expressed as quality-adjusted life years (QALYs), and target populations for interventions within National Institute for Health and Care Excellence (NICE) public health guidance published up to October 2016. Evidence on variation by age, gender, and index of multiple deprivation informed socioeconomic distributions of incremental QALYs, health opportunity costs, and the baseline distribution of health...
February 28, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30819033/aiding-risk-information-learning-through-simulated-experience-arise-a-comparison-of-the-communication-of-screening-test-information-in-explicit-and-simulated-experience-formats
#18
Pete Wegier, Bonnie A Armstrong, Victoria A Shaffer
OBJECTIVE: To determine whether the use of Aiding Risk Information learning through Simulated Experience (ARISE) to communicate conditional probabilities about maternal serum screening results for Down syndrome promotes more accurate positive predictive value (PPV) estimates and conceptual understanding of screening, compared with explicitly providing individuals with this information via numerical summary or icon array. METHOD: In experiment 1, 582 participants completed an online study in which they were asked to estimate the PPV and rate their attitudes toward a screening test when information was presented in either a description (required calculation of the PPV), explicit (PPV was provided and had to be identified), or an ARISE format (PPV was inferred through experience-based learning)...
February 28, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30803311/understanding-decision-making-about-breast-cancer-prevention-in-action-the-intersection-of-perceived-risk-perceived-control-and-social-context-nrg-oncology-nsabp-dmp-1
#19
Christine M Gunn, Barbara G Bokhour, Victoria A Parker, Tracy A Battaglia, Patricia A Parker, Angela Fagerlin, Worta McCaskill-Stevens, Hanna Bandos, Sarah B Blakeslee, Christine Holmberg
BACKGROUND: Literature on decision making about breast cancer prevention focuses on individual perceptions and attitudes that predict chemoprevention use, rather than the process by which women decide whether to take risk-reducing medications. This secondary analysis aimed to understand how women's perceptions of breast cancer risk and locus of control influence their decision making. METHODS: Women were accrued as part of the NRG Oncology/National Surgical Adjuvant Breast and Bowel Project Decision-Making Project 1, a study aimed at understanding contributors to chemoprevention uptake...
February 25, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://read.qxmd.com/read/30767632/personalizing-second-line-type-2-diabetes-treatment-selection-combining-network-meta-analysis-individualized-risk-and-patient-preferences-for-unified-decision-support
#20
Sung Eun Choi, Seth A Berkowitz, John S Yudkin, Huseyin Naci, Sanjay Basu
BACKGROUND: Personalizing medical treatment often requires practitioners to compare multiple treatment options, assess a patient's unique risk and benefit from each option, and elicit a patient's preferences around treatment. We integrated these 3 considerations into a decision-modeling framework for the selection of second-line glycemic therapy for type 2 diabetes. METHODS: Based on multicriteria decision analysis, we developed a unified treatment decision support tool accounting for 3 factors: patient preferences, disease outcomes, and medication efficacy and safety profiles...
February 15, 2019: Medical Decision Making: An International Journal of the Society for Medical Decision Making
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