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

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https://www.readbyqxmd.com/read/30403581/early-development-of-value-of-information-methods
#1
Stuart G Baker
No abstract text is available yet for this article.
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30403580/comparing-the-performance-of-2-health-utility-measures-in-the-medicare-health-outcome-survey-hos
#2
Haomiao Jia, Erica I Lubetkin, Kimberly DeMichele, Debra S Stark, Matthew M Zack, William W Thompson
BACKGROUND: The Medicare Health Outcomes Survey (HOS), a nationwide annual survey of Medicare beneficiaries, includes the Centers for Disease Control and Prevention's HRQOL-4 questionnaire and Veterans RAND 12-item Health Survey (VR-12). This study compared EQ-5D scores derived from the HRQOL-4 (dEQ-5D) to SF-6D scores derived from VR-12. METHODS: Data were from Medicare HOS Cohort 15 (2012 baseline; 2014 follow-up). We included participants aged 65+ ( n = 105,473)...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30403579/low-health-literacy-and-health-information-avoidance-but-not-satisficing-help-explain-don-t-know-responses-to-questions-assessing-perceived-risk
#3
Heather Orom, Elizabeth Schofield, Marc T Kiviniemi, Erika A Waters, Caitlin Biddle, Xuewei Chen, Yuelin Li, Kimberly A Kaphingst, Jennifer L Hay
BACKGROUND: People who say they don't know (DK) their disease risk are less likely to engage in protective behavior. PURPOSE: This study examined possible mechanisms underlying not knowing one's risk for common diseases. METHODS: Participants were a nationally representative sample of 1005 members of a standing probability-based survey panel who answered questions about their comparative and absolute perceived risk for diabetes and colon cancer, health literacy, risk factor knowledge and health information avoidance, and beliefs about illness unpredictability...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30403578/simple-inclusion-of-complex-diagnostic-algorithms-in-infectious-disease-models-for-economic-evaluation
#4
Peter J Dodd, Jeff J Pennington, Liza Bronner Murrison, David W Dowdy
INTRODUCTION: Cost-effectiveness models for infectious disease interventions often require transmission models that capture the indirect benefits from averted subsequent infections. Compartmental models based on ordinary differential equations are commonly used in this context. Decision trees are frequently used in cost-effectiveness modeling and are well suited to describing diagnostic algorithms. However, complex decision trees are laborious to specify as compartmental models and cumbersome to adapt, limiting the detail of algorithms typically included in transmission models...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30403577/parallel-valuation-a-direct-comparison-of-eq-5d-3l-and-eq-5d-5l-societal-value-sets
#5
Ernest H Law, A Simon Pickard, Feng Xie, Surrey M Walton, Todd A Lee, Alan Schwartz
OBJECTIVE: To compare and contrast EQ-5D-5L (5L) and EQ-5D-3L (3L) health state values derived from a common sample. METHODS: Data from the 2017 US EQ-5D valuation study were analyzed. Value sets were estimated with random-effects linear regression based on composite time trade-off (cTTO) valuations for 3L and 5L health states with 2 approaches to model specification: main effects only and additional N3/N45 terms. Properties of the descriptive system and value set characteristics were compared by examining distributions of predicted index scores, ceiling effects, and single-level transition values from adjacent corner health states...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30403576/cost-effectiveness-of-initiating-an-insulin-pump-in-t1d-adults-using-continuous-glucose-monitoring-compared-with-multiple-daily-insulin-injections-the-diamond-randomized-trial
#6
Wen Wan, M Reza Skandari, Alexa Minc, Aviva G Nathan, Parmida Zarei, Aaron N Winn, Michael O'Grady, Elbert S Huang
BACKGROUND: The economic impact of both continuous glucose monitoring (CGM) and insulin pumps (continuous subcutaneous insulin infusion [CSII]) in type 1 diabetes (T1D) have been evaluated separately. However, the cost-effectiveness of adding CSII to existing CGM users has not yet been assessed. OBJECTIVE: The aim of this study was to evaluate the societal cost-effectiveness of CSII versus continuing multiple daily injections (MDI) in adults with T1D already using CGM...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30403575/informed-patient-centered-decisions-associated-with-better-health-outcomes-in-orthopedics-prospective-cohort-study
#7
Karen R Sepucha, Steven J Atlas, Yuchiao Chang, Andrew Freiberg, Henrik Malchau, Mahima Mangla, Harry Rubash, Leigh H Simmons, Thomas Cha
BACKGROUND: A goal of shared decision making (SDM) is to ensure patients are well informed and receive preferred treatments. However, the relationship between SDM and health outcomes is not clear. OBJECTIVE: The purpose was to examine whether patients who are well informed and receive their preferred treatment have better health outcomes. DESIGN, SETTING, AND PARTICIPANTS: A prospective cohort study at an academic medical center surveyed new patients with knee or hip osteoarthritis, herniated disc, or spinal stenosis 1 week after seeing a specialist and again 6 months later...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30343626/modeling-in-colorectal-cancer-screening-assessing-external-and-predictive-validity-of-miscan-colon-microsimulation-model-using-norccap-trial-results
#8
Maaike Buskermolen, Andrea Gini, Steffie K Naber, Esther Toes-Zoutendijk, Harry J de Koning, Iris Lansdorp-Vogelaar
BACKGROUND: Microsimulation models are increasingly being used to inform colorectal cancer (CRC) screening recommendations. MISCAN-Colon is an example of such a model, used to inform the Dutch CRC screening program and US Preventive Services Task Force guidelines. Assessing the validity of these models is essential to provide transparency regarding their performance. In this study, we tested the external and predictive validity of MISCAN-Colon. METHODS: We validated MISCAN-Colon using the Norwegian Colorectal Cancer Prevention (NORCCAP) trial, a randomized controlled trial that examined the effectiveness of once-only flexible sigmoidoscopy (FS) screening...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30343624/effects-of-emotion-on-medical-decisions-involving-tradeoffs
#9
Erin M Ellis, William M P Klein, Edward Orehek, Rebecca A Ferrer
Risk perceptions for a disease can motivate use of medications that reduce disease risk. However, these medications are often accompanied by elevated risks for other adverse health effects, and perceived risk of these side effects may also influence decisions. Emotions experienced at the time of a decision influence risk judgments and decision making, and they may be important to examine in these tradeoff contexts. This study examined the effect of experimentally induced fear and anger on risk perceptions and willingness to use a hypothetical medical treatment that attenuates risk of one condition but increases the risk for another...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30319014/a-tutorial-on-evaluating-the-time-varying-discrimination-accuracy-of-survival-models-used-in-dynamic-decision-making
#10
Aasthaa Bansal, Patrick J Heagerty
Many medical decisions involve the use of dynamic information collected on individual patients toward predicting likely transitions in their future health status. If accurate predictions are developed, then a prognostic model can identify patients at greatest risk for future adverse events and may be used clinically to define populations appropriate for targeted intervention. In practice, a prognostic model is often used to guide decisions at multiple time points over the course of disease, and classification performance (i...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30226101/mapping-the-eortc-qlq-c30-to-the-eq-5d-3l-an-assessment-of-existing-and-newly-developed-algorithms
#11
Fionn Woodcock, Brett Doble
OBJECTIVES: To assess the external validity of mapping algorithms for predicting EQ-5D-3L utility values from EORTC QLQ-C30 responses not previously validated and to assess whether statistical models not previously applied are better suited for mapping the EORTC QLQ-C30 to the EQ-5D-3L. METHODS: In total, 3866 observations for 1719 patients from a longitudinal study (Cancer 2015) were used to validate existing algorithms. Predictive accuracy was compared to previously validated algorithms using root mean squared error, mean absolute error across the EQ-5D-3L range, and for 10 tumor-type specific samples as well as using differences between estimated quality-adjusted life years...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30226100/the-promise-of-electronic-health-records-to-promote-shared-decision-making-a-narrative-review-and-a-look-ahead
#12
Alyce Mei-Shiuan Kuo, Berry Thavalathil, Glyn Elwyn, Zsuzsanna Nemeth, Stuti Dang
BACKGROUND: Shared decision making (SDM) involves the sharing of best available evidence between patients and providers in the face of difficult decisions. We examine outcomes that occur when electronic health records (EHRs) are purposefully used with the goal of improving SDM and detail which EHR functions can benefit SDM. METHODS: A systematic search of PubMed yielded 1369 articles. Studies were included only if they used EHR interventions to support SDM and included results that showed impact on SDM...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30132393/picture-this-presenting-longitudinal-patient-reported-outcome-research-study-results-to-patients
#13
Elliott Tolbert, Michael Brundage, Elissa Bantug, Amanda L Blackford, Katherine Smith, Claire Snyder
BACKGROUND: Patient-reported outcome (PRO) results from clinical trials and research studies can inform patient-clinician decision making. However, data presentation issues specific to PROs, such as scaling directionality (higher scores may represent better or worse outcomes) and scoring strategies (normed v. nonnormed scores), can make the interpretation of PRO scores uniquely challenging. OBJECTIVE: To identify the association of PRO score directionality, score norming, and other factors on a) how accurately PRO scores are interpreted and b) how clearly they are rated by patients, clinicians, and PRO researchers...
November 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30248277/future-directions-for-cost-effectiveness-analyses-in-health-and-medicine
#14
Peter J Neumann, David D Kim, Thomas A Trikalinos, Mark J Sculpher, Joshua A Salomon, Lisa A Prosser, Douglas K Owens, David O Meltzer, Karen M Kuntz, Murray Krahn, David Feeny, Anirban Basu, Louise B Russell, Joanna E Siegel, Theodore G Ganiats, Gillian D Sanders
OBJECTIVES: In 2016, the Second Panel on Cost-effectiveness in Health and Medicine updated the seminal work of the original panel from 2 decades earlier. The Second Panel had an opportunity to reflect on the evolution of cost-effectiveness analysis (CEA) and to provide guidance for the next generation of practitioners and consumers. In this article, we present key topics for future research and policy. METHODS: During the course of its deliberations, the Second Panel discussed numerous topics for advancing methods and for improving the use of CEA in decision making...
October 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30248276/nonidentifiability-in-model-calibration-and-implications-for-medical-decision-making
#15
Fernando Alarid-Escudero, Richard F MacLehose, Yadira Peralta, Karen M Kuntz, Eva A Enns
BACKGROUND: Calibration is the process of estimating parameters of a mathematical model by matching model outputs to calibration targets. In the presence of nonidentifiability, multiple parameter sets solve the calibration problem, which may have important implications for decision making. We evaluate the implications of nonidentifiability on the optimal strategy and provide methods to check for nonidentifiability. METHODS: We illustrate nonidentifiability by calibrating a 3-state Markov model of cancer relative survival (RS)...
October 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30248275/toward-alignment-in-the-reporting-of-economic-evaluations-of-diagnostic-tests-and-biomarkers-the-agreedt-checklist
#16
Michelle M A Kip, Maarten J IJzerman, Martin Henriksson, Tracy Merlin, Milton C Weinstein, Charles E Phelps, Ron Kusters, Hendrik Koffijberg
OBJECTIVES: General frameworks for conducting and reporting health economic evaluations are available but not specific enough to cover the intricacies of the evaluation of diagnostic tests and biomarkers. Such evaluations are typically complex and model-based because tests primarily affect health outcomes indirectly and real-world data on health outcomes are often lacking. Moreover, not all aspects relevant to the evaluation of a diagnostic test may be known and explicitly considered for inclusion in the evaluation, leading to a loss of transparency and replicability...
October 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30198412/discrepancy-between-health-care-rationing-at-the-bedside-and-policy-level
#17
Emil Persson, David Andersson, Lovisa Back, Thomas Davidson, Emma Johannisson, Gustav Tinghög
BACKGROUND: Whether doctors at the bedside level should be engaged in health care rationing is a controversial topic that has spurred much debate. From an empirical point of view, a key issue is whether there exists a behavioral difference between rationing at the bedside and policy level. Psychological theory suggests that we should indeed expect such a difference, but existing empirical evidence is inconclusive. OBJECTIVE: To explore whether rationing decisions taken at the bedside level are different from rationing decisions taken at the policy level...
October 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30188244/value-of-information-choices-that-influence-estimates-a-systematic-review-of-prevailing-considerations
#18
Hendrik Koffijberg, Claire Rothery, Kalipso Chalkidou, Janneke Grutters
BACKGROUND: Although value of information (VOI) analyses are increasingly advocated and used for research prioritization and reimbursement decisions, the interpretation and usefulness of VOI outcomes depend critically on the underlying choices and assumptions used in the analysis. In this article, we present a structured overview of all items reported in literature to potentially influence VOI outcomes. Use of this overview increases awareness and transparency of choices and assumptions underpinning VOI outcomes...
October 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30179585/optimal-information-collection-policies-in-a-markov-decision-process-framework
#19
Lauren E Cipriano, Jeremy D Goldhaber-Fiebert, Shan Liu, Thomas A Weber
BACKGROUND: The cost-effectiveness and value of additional information about a health technology or program may change over time because of trends affecting patient cohorts and/or the intervention. Delaying information collection even for parameters that do not change over time may be optimal. METHODS: We present a stochastic dynamic programming approach to simultaneously identify the optimal intervention and information collection policies. We use our framework to evaluate birth cohort hepatitis C virus (HCV) screening...
October 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
https://www.readbyqxmd.com/read/30156470/estimation-of-a-relative-risk-effect-size-when-using-continuous-outcomes-data-an-application-of-methods-in-the-prevention-of-major-depression-and-eating-disorders
#20
Yong Yi Lee, Long Khanh-Dao Le, Emily A Stockings, Phillipa Hay, Harvey A Whiteford, Jan J Barendregt, Cathrine Mihalopoulos
INTRODUCTION: The raw mean difference (RMD) and standardized mean difference (SMD) are continuous effect size measures that are not readily usable in decision-analytic models of health care interventions. This study compared the predictive performance of 3 methods by which continuous outcomes data collected using psychiatric rating scales can be used to calculate a relative risk (RR) effect size. METHODS: Three methods to calculate RR effect sizes from continuous outcomes data are described: the RMD, SMD, and Cochrane conversion methods...
October 2018: Medical Decision Making: An International Journal of the Society for Medical Decision Making
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